NIGERIA & KENYA DEEP DIVE JANUARY 2019 · SOUTH AFRICA KENYA MOROCCO EGYPT NIGERIA SOUTH AFRICA...

AFRICA TECHNOLOGY TALENT STUDY

NIGERIA & KENYA DEEP DIVE

JANUARY 2019

22

AGENDA

AFRICA TECHNOLOGY TALENT STUDY

Talent Stack of the Job Families analysed, Job role/Skill level analysis

Industry Level Analysis : Top peer employers, workloads, talent maturity analysis and salary distribution

Start-up Deep Dive: Analysis of Funding, Acquisitions and top start-ups

University Analysis: Talent supply analysis, Professors profiling

Overview of Africa and Emerging Talent Trends In Africa

Major Talent Hotspots : Hotspots of peer employers

Nigeria

Kenya

33

Africa Overview: Large workforce of ~0.5 Bn. Nearly 42% of the workforce is employed outside Agriculture, in Industrial, Technology and Services Sectors

Talent Workforce Distribution by Country Total Workforce Distribution by Industry

Nigeria 12% Ethiopia 11% Congo 7%

Egypt 6% Tanzania 6% South Africa 5%

Kenya 4% Uganda 3% Ghana 3%

Madagascar 3% Morocco 3% Angola 3%

Top 10 counties constitutes ~60% of the overall workforce

~490 MnTotal Workforce

~1 MnEmployers

~7,000+Total Startups

~1,300Total Universities

58%Agriculture

30%Services

12%Industry

Note: The represented data has been collected from multiple sources such as World Bank, ILO and curated by DRAUP

44

Top Verticals: The biggest sector of employment has been Agriculture, largely due to the abundance of natural resources in the region. BFSI andTelecom are the fastest growing employment sectors, largely due to investments by global giants

Agriculture Manufacturing / Industrial

BFSI Telecom

~58%Talent Employed

~12%Talent Employed

~5%Talent Employed

~3%Talent Employed

Burundi, Burkina Faso, Chad, Madagascar, Mozambique, Rwanda, Tanzania, Ethiopia

Algeria, South Africa, Egypt, Kenya, Mauritius, Congo,

Angola

South Africa, Egypt, Nigeria, Kenya, Morocco, Algeria

South Africa, Egypt, Nigeria, Kenya, Morocco, Ghana,

Uganda, Zimbabwe

• Agriculture companies in Africa majorly produce cereals, vegetables, dairy products and cash crops such as natural rubber and cotton

• Major manufacturing companies in Africa is spread across steel, automotive, agro equipment manufacturing and chemical

• BFSI companies in Africa is focusing on digital / mobile banking services for financial services, wealth management and insurance

• Telcom companies in Africa focus on providing Fixed line, Mobile and Broadband services. Recent focus is on cloud and 5G

Note: The represented data has been collected from multiple sources such as World Bank, ILO, Official Government Websites and curated by DRAUP

Oil & Gas

~2%Talent Employed

Nigeria, Libya, Algeria and Egypt, Ghana, Mauritius

• Oil & Gas companies in Africa focus on Oil Exploration, Drilling and Production. Recent focus is on building digital oil fields

Major Countries

Key Activities

Major Companies

55

Historical Footprint: Fastest growing internet and mobile penetration (~20% increase over last 1 year) has attracted global investments from Chinese telco and US Tech giants, resulting in development of over 420 technology hubs

Pre 2000 2000 - 2015 2015 and beyond

1850s 1900s 1950s 1990s 2000 2005 2010 2014YOE

2015 2016 2017

BFSI

Oil & Gas

Tech Giants

Startups

Telecom

• Increased technological investments by US and Chinese tech companies due to improved infrastructure and internet penetration

• Adoption of mobile phones, wireless networks and broadband was a driving factor for domestic and international telecom companies to create their presence

• Over 420 active technology hubs in 92 cities across 42 countries

• ~13% of these tech hubs have partnerships with leading Mobile Operators including Orange, MTN and Vodafone

• ~50% of these hubs have partnerships with technology giants such as Google and Microsoft, focused on developing and recruiting one of the largest digital workforce globally

• Major Oil & Gas companies especially from the US established their base for utilizing the abundant natural resources

• Traditional banks in the region established their presence after 1950’s for creating the financial systems and regulations. They also witnessed a large demand from the Oil & Gas industry for international transactions

The Internet Revolution Access to Large Market and Digital Talent

Note : DRAUP’s proprietary talent module was used to analyse the evolution of companies

The Oil Economy

66

Talent Hotspots: Early technology adoption and favourable Government initiatives has enabled South Africa, Egypt, Nigeria, Morocco, and Kenya to emerge as hotspots in Africa

SOUTHERN AFRICA

• Southern Africa is the largest ICT market in Africa by value and has a large installed cloud talent pool. The region has a presence of technology giants such as IBM, Microsoft and Facebook

• Cape Town in South Africa is the Tech Capital of Africa which has ~450-550 startups majorly present in the Stellenbosch area, employing between ~40-50K

• Angola and Botswana are the emerging countries in Southern Africa. They largely focus on developing technology talent in both traditional and emerging technology areas to address the burgeoning technology adoption

NORTHERN AFRICA• Northern Africa is home to large talent pool in emerging technology areas such as Big Data Analytics and AI• Egypt, Algeria and Morocco has a high technology talent in Cloud and Big Data, majorly employed by Telecommunication

companies such as Huawei and Etisalat• Egypt has built a reputation as an offshoring destination, having increased efforts in developing the telecom infrastructure,

nurturing its talent pool on advanced technologies such as Data Science, Big Data Analytics, Internet of Things (IoT), AI, and Cyber Security

EASTERN AFRICA• Eastern Africa attracted $200 Mn technology-based investments in 2017. Kenya had the maximum share of ~75%• Ethiopia, Rwanda and Uganda are emerging as the destination for technology hotspot. In 2017, ~$52.7 Mn technology

investments was collectively pooled across these nations with a major contribution from the Chinese Government• Major tech giants such as Google and Facebook are tapping these talent by creating Accelerators and ER&D centres• High adoption of mobile and fintech in Kenya is driving the country to become a hub in Blockchain and Cryptocurrency

innovation

WESTERN AFRICA

• ~100 active tech hubs are present in the Western African region, ~55 of these active tech hubs is based in Nigeria• Nigeria is the top country in Western African region that has a total workforce of ~69.5 Mn. A major chunk of talent is

employed in the Agriculture and Trade sectors• ~300K tech talent is present in this region. Ghana, Senegal and Ivory coast are the emerging tech hubs• ~50% of the Chinese investments was allocated to Nigeria and Cameroon for Infrastructure & Technology development

SOUTH AFRICA

KENYA

MOROCCO

EGYPT

NIGERIA

SOUTH AFRICABlockchain, Machine Learning, Natural Language Processing, Deep Learning, Computer Vision, HCI, Cloud Platforms, Cloud Infra

KENYACybersecurity, Machine Learning

NIGERIAMachine Learning, Big Data, Cybersecurity, Blockchain

EGYPTComputer Vision, Machine Learning, Human Computer Interaction, Natural Language Processing, Deep Learning, Cloud Infra, Cloud Platforms

MOROCCOComputer Vision, Machine Learning, Cybersecurity, Blockchain

Note : DRAUP’s proprietary talent module was used to analyse jobs by locations and skill type

77

Decoding African Technology Talent: ~1.8-2 Mn tech-talent pool is employed across 200+ ER&D and IT centres of major MNCs, Native Companies and Startups

285KSouth Africa

227KEgypt

160KNigeria

129KMorocco

115KAlgeria

110KKenya

92KTunisia

65.5KGhana

59KAngola

59KIvory Coast

47KUganda

46K Tanzania

43.5KCameroon

42KEthiopia

41K Sudan

40KSenegal

36.5KZimbabwe

32.5KZambia

26KLibya

25KMadagascar

24KMauritius

23KBotswana

22.5KBotswana

21KBurkin Faso

20KRwanda

17KMalawi

16KCongo

8.5KSomalia

7.5KBurundi

6KLesotho

Note: The represented data has been derived using DRAUP Proprietary Talent Database

Note: Technology & Digital talent includes talent involved in Software Development, IT Infrastructure and talent in new age areas such as Machine Learning, AI and Big Data/Analytics

~80Talent Hotspots

~1.8-2 MnTotal Technology & Digital

Talent

>200Global ER&D and IT Centres

~20-25KDigital Job Openings Annually

Technology Talent Distribution Across African Nations

Landscape Overview

88

IT & Digital Centres : ER&D and IT centres of global MNCs are shifting their focus on digital transformation support. Development of cognitive computing solutions, data analytics & visualization platform development and cloud migration are some of the current focus areas

~175IT centres

~95ER&D

centres

~115companies has

Engineering & IT centres in Africa

~37%of these companies has presence across

multiple nations

~55-60Ktotal talent employed

45%

22%

8%

8%

5%

3%

2%

2%

South Africa

Egypt

Morocco

Nigeria

Tunisia

Algeria

Angola

Kenya

5% Others (Congo, Ethiopia, Ghana, Tanzania, Uganda)

Johannesburg, Cape Town, Durban

Cairo, Giza

Casablanca, Rabat, Tangiers

Lagos, Port Harcourt, Abuja

Tunis, Megrine

Algiers, Boudouaou, Oran

Luanda

Nairobi

200+ER&D and IT

centres In Africa

Major Workloads Of Large Enterprises

~15-20Kdigital talent

employed

Note : DRAUP’s proprietary talent module was used to analyse the talent spread and workloads across ER&D and IT Centres

Note: Total number of centres will be less than the sum of ER&D and IT centres as ~65 of these centres has both ER&D and IT functions

• Blockchain solutions for financial services and supply chain sectors• Design cloud migration strategies and methodologies using BPMonCloud, IIBoC• Build open source based Big Data Platform and perform Data Visualization• Design and analyse IoT based analytics for chemical & petroleum industry

• Design and deploy cloud services for Microsoft Azure platform• Support on Cloud infrastructure with focus on driving Microsoft Azure Business

Landing and Microsoft Datacenter Management Solutions all over MEA (Natural Language Processing, Knowledge Extraction, Speech Processing)

• Design private cloud platform with Openstack environment and internally host Red Hat Openshift Container Platform(OCP)

• Development of Digital Banking platforms and entire IT support across all the branches and for the ATMs

• Design RPA solutions for automating various telecom and networking operation• Development of M-Pesa, mobile based money transfer• Build UI/UX prototypes to develop flexible and well-structured front-end

architecture

99

Vertical Overview: Low labor cost has been the driving factor for Software MNCs in creating a large technology talent pool. Recent Chinese investments in Telecom and Banking verticals has enabled companies to add more IT and Digital talent

Top Verticals Employing Technology Talent In Africa

Software & Internet

60%Telecom &

Networking

20%BFSI

10%Energy / Oil &

Gas

5%

Others

5%

~1.8-2 MnTotal Tech Talent In

Africa

Top 5 African nations accounts for ~60% of the overall technology talent pool in the region

Low Medium High

Software & InternetTelecom &

NetworkingBFSI Energy / Oil & Gas Healthcare

South Africa

Egypt

Morocco

Nigeria

Kenya

Top Employers

Note : DRAUP’s proprietary talent module was used to analyse talent headcount and distribution across industry verticals and top companies

Talent size

1010

Chinese investments in Africa has consistently increased in the last few years. Africa stands as the third largest destination for Chinese investments behind Asia and Europe. ~25% of these investments are concentrated in Nigeria and Angola for infrastructure development

Note: The represented data has been collected from multiple articles such as Brookings, Telegraph and curated by DRAUP

Overall Chinese Investments in Technology Industry By Country

~$300 BnTotal Chinese

Investments In Africa(2005-2018)

~$21 BnTotal Chinese

Investments in 2018

~$7 BnTotal Chinese

Technology Investments (2005-2018)

~$0.5 BnTotal Chinese

Technology Investments in 2018

Chinese Companies trade with African

Nations

10K+

Key Insights

Telecom vertical has attracted a major share of Chinese investments in Africa. Telecom and cloud infrastructure were the major areas of these investments. Huawei, ZTE are the major Chinese investors

Nigeria is the only country where Chinese companies invested more than twice for the development of telecommunication and information technology industry

ZTE sponsored female students for pursuing IT degrees at the University of the Witwatersrand

Huawei hired more than 1,000 students from South Africa and trained them in China in emerging technologies. They also established six regional centres in South Africa, Nigeria, Kenya, Egypt, Tunisia and Angola to provide technical training for up to 2,000 local people annually

China’s $2,400 Mn investment on Ethiopia’s telecommunication industry is the highest technology investment made ever

High adoption of Fintech in Africa is well supported by Chinese companies. M-Pesa and other Fintech apps has enabled money transfer easier

Chinese companies ramping up operations

• Xiaomi and Realme is planning to enter the African market, currently Huawei, Transsion and Tecno Mobile dominate this market• Chinese bank provider UnionPay has launched its services across 50 African countries• Alibaba sets up a new ecommerce platform in Rwanda• SimbaPay launches Kenya to China payment service over WeChat• CloudWalk, an AI firm had an agreement with the Zimbabwe Government to deploy facial recognition software in Harare

1111

• Cloud Infrastructure Engineer

• Data Centre Cloud Architect

• Cloud Operations Engineer

• Cloud Applications Engineer

• Cloud Security Engineer• Cloud Support Engineer

• Data Centre Facilities Engineer

• Data Centre Facilities Technician

• Data Centre Architect

• Data Centre Manager• Data Centre Technician• Data Centre Engineer• Data Centre

Infrastructure Engineer

Data Centres in the African region is growing at a very fast pace to support the adoption of digital technologies. Demand for Cloud migration has significantly led to the creation of Colocation and Self Owned Centres creating more talent demand

South Africa 30%15 9 24

Nigeria 15%4 1 5

Kenya 10%5 5

Egypt 25%3 1 4

Mauritius 5%3 3 3

Major Data Centre Investments

• Huawei is building a data centre in South Africa for offering cloud AI and Big Data solutions to government institutions, enterprises, and consumers in the African region

• Liquid Telecom is planning to spend $400 Mn in Egypt for building data centres and rolling out cloud services

Data Centre Distribution – Top 5 Countries

Colocation Owned Total

60+No of Data Centres

in Africa

20-25 35-40Total number of self owned

Data Centres in AfricaTotal number of Colocation

Centres in AfricaEstimated new investments

in Data Centres

Data Centre Landscape In Africa


$180 Bn

• Microsoft is planning to launch their data centres in Johannesburg and Capetown to boost their Azure presence

• Schneider along with 21st Century Technologies has planned to launch a Tier IV data centre in Nigeria

New Data Centres

Top Colocation Service Providers

Total Data centre Talent in Africa

18-20KData Centre Talent in Africa

Companies with Data Centres

Major Data Centre Roles

Traditional Emerging

Factors driving the growth of Data Centres in Africa

Rapid adoption of Hybrid IT and cloud solutions and hyperscale is increasing the demand for data centres in the African region

African nations has the lowest talent cost globally. Raising IT infra & cloud talent along with the low cost advantage makes it a data centre hotspot

Adoption of broadband, high-speed internet and 4G networks which is creating a higher demand in local cloud based services is also fueling the growth

Data Centre Talent Overview In Africa Data Centre Investments

1212

Growing Cloud Adoption: Cloud adoption in Africa is growing at a rate of ~42%, creating high demand for roles such as Cloud Infrastructure Engineer and Cloud Operations/DevOps Engineer

~25,000Total Cloud Talent in

Africa

Cloud Job Family South Africa Egypt Nigeria Kenya

Cloud Enterprise Architect

Morocco Ghana Uganda Tanzania Zimbabwe

Cloud Infrastructure Engineer

Cloud Operations/ DevOps

Cloud Security Architect

Cloud Applications Engineer

Top Locations Emerging Locations

4,700

7,300

5,150

4,450

3,400

Cloud Enterprise Architect

Cloud Infrastructure Engineer

Cloud Operations/ DevOps

Cloud Security Architect

Cloud Applications Engineer

• Cloud adoption in Africa is growing at a rate of 42% annually, countries like South Africa, Nigeria, Kenya, Rwanda, Egypt and Morocco becoming the initial hubs for local cloud

• Cloud spending is witnessing a massive growth in the region. Revenue from private cloud grew by 17.5% to $3.3 Bn, and public cloud by 14.6% to $4.9 Bn in Africa last year

• It is estimated that ~1 Mn cloud related jobs will be created in the African region in the next five years. This will be majorly driven by large cloud service providers, telecommunications and banking / financial companies

• The key cloud computing vendors in the region are Microsoft Azure, Google Cloud Platform, Oracle Cloud, IBM Cloud and Dell Technologies, VMware. Companies such as Microsoft, Alibaba has plans to launch their data centres focused on cloud development in the coming years. This will increase the demand for Cloud Infrastructure Engineer and DevOps roles in the region

Top Employers High Medium Low

Key Insights


1313

• Banks and Fintech in Africa has adopted cloud to reduction the data management costs• Mobile and internet payments collectively dominate the digital payments space contributing

~83% of total digital payments transactions• Insurance companies in Africa are currently exploring ways of using IoT for enabling usage-

based auto insurance

Fintech vertical has been the driving factor in creating new age talent. High adoption of mobile wallets, payment platforms and cryptocurrency will generate newer roles in the subsequent digital areas such as Big Data and AI

Total tech talent in Africa developing Financial solutions

~0.2 MnFintech

Startups

300+Total Funding Raised (2018)

~$100 MnMobile users in

Africa

~440 MnSmartphone users

in Africa

~250 MnBank Accounts in

Africa

~65 MnMobile Wallets/ Mobile Money in

Africa

~120 MnMobile Money

Service Providers in Africa

~130

Mobile Penetration Digital / Mobile Banking Landscape Fintech Landscape

New Age Talent Spread Across FinTechFintech Startup landscape

27%

21%

16%

36%

South Africa Nigeria Kenya Rest of Africa

Top Fintech Startups

Big Data &Analytics

~ 7-10%

Cybersecurity

~ 6-8%

ML / AI

~ 5-7% ~ 5-7%

RPA

~ 4-6%

Cloud

South Africa, Nigeria, Egypt,

Morocco

Nigeria,South Africa,

Egypt

Egypt,SouthAfrica

South Africa,Egypt

South Africa, Egypt, Nigeria

Major Locations

Major Companies

Key Insights

Growth of Fintech

Africa has the largest concentration of the unbanked and underbanked population, which provides an opportunity for telecom equipment manufacturers to provide infrastructure and cutting edge digital solutions

China’s high investment and fast growth in Fintech sector has enabled them to take their financial services such as lending, insurance and wealth management to Africa

Top Chinese Fintech Accelerator in Africa

Ant Financial has launched a $10 Mn African innovators fund in South Africa

Huawei partnered with more than 10 Fintech startups like M Pesa in Africa for local market access

Note : The represented data has been collected from multiple articles such as GSMA, Fin24 and DRAUP’s proprietary talent module was used to analyse jobs by locations and skill type

1414

Emerging Tech Startups Top EmployersEmerging Tech Startups Top Employers

Emerging Startup Zones: Uganda, Ghana & Rwanda are emerging hotspot for technology talent. Major tech giants such as Google and Facebook are tapping these talent by creating Accelerators and ER&D centres

Uganda

• Uganda is one of the leading nation in Africa with advanced technological and innovation capabilities

• It is home to more than 15 accelerators, incubators and other small tech hubs of which more than 50% are located in Kampala alone

• Google Developers Group (GDG), is a popular circle for developers in Kampala

• These hotspots are home to big firms such as MTN, Huawei and Upwork. A significant amount of cloud talent is present in Uganda in the region

Note : DRAUP’s Proprietary Talent Module was used to identify the Startups and Hotspots

• Google’s first African AI centre will be launched in Ghana in the next year

• Accra, the capital city of Ghana is a major technology hotspot with ~16 tech hubs and accelerators

• Ghana has high presence of software development, cloud and cybersecurity engineers majorly employed across large enterprises in the region

• Ghana government has expressed a lot of interest on cryptocurrency and blockchain technology and has taken lot of initiatives

Ghana

Emerging Tech Startups Top Employers

Rwanda

• The Rwanda Government had played a significant role in driving digital transformation initiatives. It is emphasizing and developing long term plans and investing in huge IT Infrastructure

• The capital city of Rwanda, Kigali, is turning into the tech hub of Sub – Saharan Africa. Kigali has a higher presence of talent in the field of cybersecurity, big data and software development

• The city is focusing on developing modern infrastructure to facilitate operations of tech companies in the field of fintech, big data and cybersecurity

Hotspots: Kampala, Mbarara Hotspots: Accra Hotspots: Kigali

1515

A new talent sourcing model is getting adopted in Africa where native companies build and train distributed engineering teams. Large MNCs hire these talent enabling them to leverage Africa’s untapped grey matter talent pool without any physical existence

Fresh and experienced talent enroll with talent sourcing firms

Hired talent undergoes a technical training program across various technologies in the SDLC

Trained talent is matched up with the requirements from MNCs and is allocated accordinglyTalent Sourcing Model

Andela helps companies build high-performing, distributed engineering teams with Africa's most talented software developers. Based in Nigeria, Kenya, and Uganda, Andela developers work as full-time, remote engineers with leading technology firms around the world

Top Hirers from Andela

~130,000Total no of Applicants till (2018)

~200+Hiring Partners

~1,100+Total Developers Hired

~6 MonthsTotal no of days for On boarding

~60+Total no of skills assessed

Sample Stacks

WEB

JavaScript

PHP

Python

Ruby

Angular React

Laravel

Django

Rails

MOBILE

Android Java

iOS

DevOps

Swift

Key Partner Profile

• In July 2016, Andela partnered with The Zebra, a comprehensive car insurance comparison site to improve their mobile user experience and migrate their systems to a micro services architecture

• Starting with 2 Andela developers, they’ve scaled rapidly to the 13 developers today who are working as full-time team members on 5 different Zebra teams, including customer acquisition, digital marketing, data and platform

Sample Job Roles: • Software Developer • Full-Stack Developer

Sample Profile – Yinka Makanjuola

Yinka MakanjuolaSoftware DeveloperThe Zebra

Responsibilities:

• Build Direct Rate Integration Framework and Turbine (DRIFT), a highly scalable and customizable asynchronous micro service

• Build Ad Turbine to fetch and consolidate ads from multiple ad exchanges

• Automate the generation of sales using lead data provided by the insurance partners

Education:

BSc. Computer Engineering at University of Lagos

Note : The represented data has been collected from Andela curated by Draup

Yinka joins Andela with 4 years of work experience in IT systems engineering

Gets trained in Python and Django through Andela’s training module

Aligned to Zebra as a Software Developer and built integration frameworks for insurance companies using Python

Sample Profile

Case Study: How Andela is helping MNCs in tapping the technology talent in Africa?

1 2 3

1616

Demand Analysis: The demand for jobs in emerging technologies such as Cloud, AI/ML, Data Science and Big Data is significantly high when compared to the traditional roles such as Software Development and Testing and Infrastructure / Support roles

~5,100 Digital Job Openings in Africa for the past 90 days (Across 7 job clusters analysed)

Job Family South Africa Egypt Nigeria

Software Development

Morocco

AI/ML/Data Science

Cloud

Big Data/ Analytics

Internet of Things

Security

UI/UX

Low Medium High

Demand Analysis by Country

~3,650South Africa

~950Egypt

~250Nigeria

~250Morocco

CloudIoT UI/UXSecurityAI/ML S/W Dev.

High

Big Data Analytics

Cybersecurity

Human-Computer Interaction

Machine Learning

Threat Intelligence & Monitoring

Cloud Development

Enterprise Applications


Mobile ApplicationsData Visualisation

Talent Pool Maturity

Niche CapabilitiesNascent Capabilities Emerging Capabilities Mature Capabilities

IoT Engineering

Low

High

Tale

nt

Po

ol D

em

and

Demand Analysis by Technology

User Interface Design

AI

Big Data

Risk Management

• Demand for traditional and legacy roles are stagnant, while more demand is witnessed across the new age roles

• Automation and analytics technology roles are gaining importance and will be of higher demand in the near future

Note : The represented data has been collected from DRAUP’s Proprietary Talent Module was used to analyse demand across job families

1717

NIGERIA – TALENT DEEP DIVE ANALYSIS

1818

NIGERIA - OVERVIEW

18

1

~69.5 MnTotal Workforce

Insights

2

3

4

~160KTotal Tech Talent

~600Total Startups

1The Infrastructure vertical contributes ~35% of the country’s total GDP. Investments in infrastructure projects is worth $100 Bn and is the second largest spender after South Africa in the region

1Nigerian government invested $50 Bn in ICT till 2018 and pooled ~$40 Bn through FDI. They are also planning to invest $88 Bn on digital technologies such as Blockchain, AI/ML and Data Science

1The government is planning to grow Nigeria as a major destination for data science, advanced analytics and big data projects outsourcing and is aiming to generate ~10% of the global analytics business worth $3.3 Bn in revenue by 2020

Nigeria launched the world’s first fully digital end-to-end block chain based commodity trading and finance platform in partnership with Binkabi and AFEX Commodities Exchange aimed at reducing the intermediaries in agriculture commodity trading

Note: The represented data has been collected from Nigerianstat and curated by Draup

1919

Nigeria has a total workforce of ~69.5 Mn with a major chunk of talent employed in the Agriculture and Trade sectors

Unemployment rate* ~23.1%

Median age ~20 Years

Sex ratio 50 Female/51 Male

GDP ~$376 Bn

GDP growth rate ~2.1%

Median Household Income $645

Percentage of workforce across different industries

Total Workforce : ~69.5Mn

Agriculture industry employs ~49% of the total workforce and contributes ~21% of the total GDP. The government is continuously investing to improve some infrastructure

deficit, like access road, water supply, power supply for increasing the agriculture exports

Telecom segment in Nigeria has reached over $35 Bn investments in 2017, of the total $50 Bn Information and Communication Technology (ICT) investment by the Nigerian Government. ~7-10% of the overall Nigerian working population is employed in this

segment

Over 90% of individuals and corporate businesses in Nigeria completely rely on the mobile industry for their day-to-day transactions. Number of mobile subscribers in

Nigeria is ~240 Mn

China is Nigeria’s largest contractor and partner in infrastructure projects with total volume of projects estimated at US$77 Bn. A majority of these investments are diversified into development of connectivity infrastructure and for telecom and

technology infrastructure development

Population: ~203 Mn

Literacy rate*: ~65.1%

Top Spoken Languages: English, Yoruba, Fula, Hausa, Igbo

Note: The represented data has been collected from Nigerianstat and curated by Draup

2020

Location Hotspot: Lagos is the key hotspot in Nigeria. Yaba, Mushin and Ikoyi are the home for startups, employers and universities respectively

Nigeria

Lagos State University

Federal College of Education

National Open University of Nigeria

Anchor University

International Christian University

IBM

MTNAirtel

Me Cure

Shell

Ikoyi Area

Mushin

Co Creation HubNG Hub

Iroko

Yaba

Note : DRAUP’s Proprietary Talent Module was used to analyse hotspots by locations and Industry wise

• Ikoyi Area is the employer hotspot in Lagos

• Ikoyi Area (Victoria Island, Lagos Island, Ajah and Lekki) has ~10,000 companies in major sectors such as Telecom, Oil & Gas, Engineering, Pharmacy, etc.

Hotspots in Lagos

Employer Hotspot Startups Hotspot

~55Total Tech Hubs in Nigeria

~31Total Tech Hubs in Lagos

• Yaba is the hotspot for Startups in Lagos

• Yaba’s Startups received $115 Mn investment which is 20% of the total African Investment

• The Africa’s most recognized e-commerce startup Konga is based out of Yaba

~165Total Universities in Nigeria

~20Total Universities in Lagos

• Mushin is the university hotspot in Lagos

• There are about 10 universities in and around Mushin, Lagos

• The Lagos state government partnered with Samsung to develop technical education by setting academics within colleges

University Hotspot

• Lagos has the largest tech hub ecosystem with ~31 active tech hubs of the total 440+ tech hubs in Africa. Lagos accounts to ~70% of the national industrial investments making it attractive to job seekers across the country

• Abuja is the second largest city in Nigeria which is growing as a Startup city with more number of young entrepreneurs and tech talents. Abuja Technology Village is one of the major SEZ promoting technology research, incubation and development

• Lagos hosts various tech parks promoting MNCs and Startups in setting up their centres. Few of these are Zone Tech Park, Co-creation hub, MEST, Capital Square, Passion Incubator, Leadpath Nigeria, Impact Hub, iDEA Hub and NG_Hub

• Africa’s most recognized “African University of Science and Technology” is at Abuja. The city is surrounded by several other universities which makes it a hotspot for fresh talent hiring

Lagos

Key Insights

Lagos

Abuja

2121

Digital Job families: ~79% of the overall tech talent in Nigeria is spread across Software Development and digital verticals. While the talent spread in core digital clusters such as AI/ML, Cloud, Security, IoT and Analytics is ~35% of the overall tech talent

70,500

3,00010,000 11,000

3,000

27,000

2,500

Total Talent across IT and Digital job families: ~160,000

Employed talent in Digital Jobs across 7 Job Families



Data Science/ ML/AI

CloudBig Data/

Analytics/BIIoT Security UI/UX

Cyber Security Engineer

Network Security Engineer

Security Analyst

Network Support Engineer

UI/UX Designer

User Experience Designer

UI Developer

Graphic Designer

Cloud Engineer

Cloud Solution Architect

Cloud Operations Engineer

Cloud Infrastructure

Engineer

Data Scientist

Business Intelligence

Analyst

ML Engineer

Data Science Programmer

Software Developer

Full Stack Developer

Mobile Application Engineer

Web Engineer

Big Data System Engineer

Data Analyst

Big Data Developer

Big Data Analyst

IoT Design Engineer

IoT Engineer

IoT Specialist

IoT Developer

Others

33,000

Others include talent in System Integration, IT Consulting and

Support

System Analyst

Network Engineer

Project Manager

Data Centre Technician

2222

Nigeria Technology Talent Distribution: Precisely estimating the talent suited for digital roles, involves several interviews and deeper understanding of technical stacks across resumes and profiles

70,500

Data Science/ ML/AI


CloudBig Data/


3,000 10,000 11,000 3,000 27,000 2,500

Top companies employing Digital Talent

Other Major Players

Total Talent across 7 tech job families analysed:


2323

Top Skills: Large proportion of employed talent pool is skilled in HTML, SQL, and Java

Scala 100 Ansible 100 Chef NLP 50 Puppet 50

SQL 19,000 HTML 18,000 Java 14,000 C/C++ 11,000 PHP 10,600

Node.js 2,300 Ajax 2,000 Git 1,600 Ruby 700 Data Warehousing 600

Shell Scripting 500 Docker 500 Ruby on Rails 450 Spark 360 Perl 350

Deep Learning 280 Perl 260 Hadoop 250 Jenkins 220 Kubernetes 150

Shell 10,000 .NET 6,000 Python 6,000 5,000 XML 3,600

Hig

hM

ediu

mLo

w

Note: The represented data has been analysed using DRAUP Proprietary Talent Database

50

jQuery

2424

Top Skills: Java, Neural Networks, SQL are the top skills identified across Software Development, AI/ML and Cloud job families respectively

Software Development AI/ML/Data Science

10,500

8,300 8,000

4,400

Java PHP C/C++ .NET

Java PHPNeural

NetworksNLP Angular.js

Cloud

SQL DockerGit.NetC/C++


90

50

40

Neural Networks' NLP Angular.js

1,000

260200

SQL Git Docker

2525

250 250

60

CSS HTML InteractionDesign

Top Skills: Data Warehousing, MongoDB, Python, Penetration Testing and CSS are the top skills identified across Big Data / Analytics, IoT, Security and UI/UX job families respectively

UI/UX

PenetrationTesting

Intrusion Detection

Interaction DesignCSS HTML

Data Warehousing

MongoDB Scala

Big Data/ Analytics

Python Arduino Node.js

IoT Security


160 160

150

DataWarehousing

MongoDB Scala

170

70

50


400

150

PenetrationTesting

IntrusionDetection

2626

Cost Analysis: High demand for Cloud and Big Data talent is driving the high salary for these Job rolesM

edia

n S

ala

ry (

USD

) p

er a

nn

um

$26,000$29,000 $30,000

$22,000$25,000

$28,000

$38,000$41,000 $42,000

$28,000

$33,000

$41,000

$47,000

$51,000 $52,000

$35,000

$42,000

$50,000

Software Development Big Data Analytics Cloud UI/UX Security Artificial Intelligence

Entry (0-5) Middle(5-10) Senior (10+)

$39,000$37,000 $40,000 $41,000 $28,000 $33,000

$36,000Average Salary

Note: The represented data has been derived using DRAUP’s Talent Simulation Module

2727

Nigeria Talent Distribution: ~60% of the Digital and IT talent is employed by the top 5 verticals. Software & Internet, and Oil & Energy collectively employs ~43% of this talent. Overall Digital and IT talent employed by Startups is ~1,000

33%

10%6% 6% 5%

40%

Software & Internet Oil & Energy Healthcare Telecommunications BFSI Others

Total Digital and IT Talent

~1,000

Total Digital and IT talent across Enterprises :

~ 159,000

Top Employers Top Employers

Enterprises1 Startups2

Note: Others include talent from industries like Semiconductors, Biotechnology, etc.


2828

Software/Internet Industry Deep Dive: Talent Maturity Analysis – Over 52% of the employed digital talent in analysed job families have 0-5 years of experience

53%

78%

26%

69%

52%

35%

54%

31%

15%

39%

21%

29%

40%

32%

16%8%

35%

10%18%

25%14%

Software Development AI/ML/Data Science Cloud Big Data/ Analytics IoT Security UI/UX

0-5 Years 5-10 Years 10+ Years

Employed Talent Distribution Across Job Roles and Years of Experience

~24,000 ~700 ~5,000 ~1,000 ~800 ~18,000 ~3,500

Enterprise/Startup Talent~53,000Employed Talent is

(analyzed job roles)


2929

Software/Internet Industry Deep Dive : Software development Job family constitutes majority of the employed digital talent; Tech Giants have high focus on Security and IoT services

150 - 200

Focus Areas: • Visual Recognition for IBM Watson• IBM IoT Blockchain• IBM Cloud Security solutions

20 - 40

Focus Areas: • Cyber Security for endpoint security solutions • Cloud Computing Services• Business Intelligence and Analytics

250 - 300

Focus Areas:• Cloud services for CWG smart utility solution and Payment

Gateways• CWG SAAS for SMERP solutions

150 - 200

Focus Areas: • Cloud Solutions for Sitelock and Windows hosting• Application Development: PayChoice – Payment Automation

Product

100 - 150

Focus Areas:• Cloud Services for SAP• Security for hybrid IT• Business Intelligence and Analytics• Digital data management, Cybersecurity

Products/TechnologiesSoftware CloudBig Data/ Analytics

IoT Security UI/UXAI/ML/

Data Science

0%

9% 4%

0%

0%

0% 0%

0%

0%

0%

0%

2%

0%

0% 0-25% 25-50%

85% 0% 0% 0%

96% 2%

50%

0%

0%

81% 0% 0% 7% 10% 2%

50-100%

13%2%

4%83%

0%

50%

0%

Note : DRAUP’s Proprietary Talent Module was used to analyse jobs by top companies and skill type

3030

Oil & Energy Industry Deep Dive: Talent Maturity Analysis - ~39% of the employed digital talent in analysed Job families have 0-5 years of experience

24%

62%

20%

49%40%

22%

59%

43%

28%

35%

28%36%

40%

29%

33%

9%

45%

24% 24%

38%

12%

Software Development AI/ML/Data Science Cloud Big Data/ Analytics IOT Security UI/UX



~4,750 ~200 ~250 ~500 ~150 ~700 ~450




3131

Oil & Energy Industry Deep Dive: Software development job family constitutes majority of the employed digital talent; Top Employers have high focus on Security, Bigdata/Analytics and Cloud services


60-100

Focus Areas: • Subsurface data analysis using AI

200-250

Focus Areas: • Handle pumping equipment using Human Machine

Interface(HMI) and AI• Analyse performance of rotating equipment to detect

failures using predictive models

350 -400

Focus Areas: • Predict and maintain compressors, valves using IoT and

Machine Learning• Using AI for complex data interpretation for offshore and

onshore operations

200-250

Focus Areas: • Development of submersible robots to monitor and analyse

deep water drilling and exploration using AI

160-200

Focus Areas:• Track oil tankers and vessels using IoT

Products/Technologies

60%


CloudBig Data/ Analytics

IOT Security UI/UXAI/ML/Data

Science

17%

5%

0% 17%

3%

5%

11%4%

0%

7%

5%

70% 5% 11%0%

0%

2%

0%

0% 7%

71% 3%

14% 5%

7%

3%

6% 2% 15%

3% 10%

0%66%

66%

0% 0-25% 25%-50% 50-100%

3232

HealthCare Industry Deep Dive: Talent Maturity Analysis - ~43% of the employed digital talent in analysed Job families have 0-5 years of experience

47%

33% 33%

50%56%

45%36%

30%

33% 33%

25%

24%

30%

32%

23%

33% 33%25%

20%25%

32%

Software Development AI/ML/Data Science Cloud Big Data/Analytics IoT Security UI/UX



~500 ~50 ~50 ~350 ~250 ~300 ~250




3333

HealthCare Industry Deep Dive: Software development Job family constitutes majority of the employed digital talent; Top Employers have high focus on IoT and Security

Focus Areas:• Medical Intelligence and Surveillance Systems to review the

dynamics of the healthcare

Focus Areas:• Machine Learning in Medical Devices

60 -100

60- 100

Focus Areas:• Electronic Medical Records, Remote Monitoring

100-150


50%




Data Science

0%

0%

33%

0%0%

0%

0%

0%

0%0%

0% 33%

50%

0% 50% 0%

0% 50%

0%34%

0% 0-25% 25%-50%


3434

Telecommunications Industry Deep Dive: Talent Maturity Analysis - Over 39% of the employed digital talent in analysed Job families have 10+ years of experience

25%33%

13%

30%

20%24% 28%

44%33%

42%

40%

33%30%

33%

31% 34%

45%

30%

47% 46%39%




~2,800 ~100 ~1,000 ~150 ~250 ~600 ~350




3535

Telecommunications Industry Deep Dive: Software development Job family constitutes majority of the employed digital talent; Top Employers have high focus on Security and Cloud services

275 – 300

Focus Areas:• Business Cloud Services platform for storage and backup

Analytics for customer insight for a complete view of customer satisfaction, revenue, and device and network performance

150 - 200

Focus Areas: • Cloud and Network Function Virtualization Infrastructure (NFVi)

solutions• Cloud applications for telecom providers

450 – 500

Focus Areas: • Hyper cloud solutions• Big Data• 5G Networks

250 – 300

Focus Areas: • Cyber Security apps for smartphone users• 4G/5G Networks

150 – 200

Focus Areas:• Nokia AirFrame open edge server for cloud deployments to drive

implementation of RAN, MEC and 5G• Cognitive Analytics for telecom service providers


56%



IoT Security UI/UXAI/ML/Data

Science

23% 5% 18%

9%

6%6%

2%

10%

2%0%

36% 0% 0%

16% 3% 13%

18% 27%

50%

0% 0-25% 25%-50%


23% 8%0% 8% 15%0%46%

12%0%42% 0% 4%25% 17%

50-100%

0%

3636

BFSI Industry Deep Dive: Talent Maturity Analysis - Over 41% of the employed digital talent in analysed Job families have 0-5 years of experience

35%

60%

23%

53%60%

22%

37%

35%

20%

37%

27%20%

41%

36%

30%20%

40%

20% 20%

37%27%




~3,500 ~100 ~500 ~500 ~50 ~750 ~600




3737

BFSI Industry Deep Dive: Software development Job family constitutes majority of the employed digital talent; Top Employers have high focus on Security, Bigdata/Analytics and UI/UX design services

350-400Focus Areas:• Network and security services for mobile banking app• Big Data services to maintain customer information system

75-100

Focus Areas:• Digital Banking Analytics• AI• Network Security

350 -400

Focus Areas:• AI & Machine Learning• Cloud Computing Services• Big Data Analytics for customer segmentation & targeting

250-300

Focus Areas:• GTPay- secure internet payment gateway• Cybersecurity solutions for online mobile banking services

250-300

Focus Areas:• Advanced Analytics and Bigdata• Design FlashMe Cash – Mobile banking platform


54%




Science

10%

8%

2% 10%

6%

2%

9%5%

6%

8%

6%

60% 0% 0%20%

12%

2%

2%

0% 0%

56% 0%

14% 17%

20%

8%

13% 2% 15%

8% 14%

3%50%

58%

0% 0-25% 25%-50% 50-100%


3838

~15Total number of

Accelerators

• Zinternet, a mobile banking provider was acquired by Konga in 2015 and in 2018 Zinox acquired Konga. This is the most notable acquisition in the Nigerian startup activity

• Interswitch acquired Vanso – a mobile and security focused financial technology provider in 2016. The intention of this acquisition was to expand Vanso’s geographic and product spread

• Canada headquarted Firm 1001 Squared acquired Quickhelp in May,2018 for a better market access

Nigeria Startup Overview: Nigeria has the largest startup base in Africa and is home to Jumia, a unicorn startup. Nigeria has a presence of ~600 Startups and ~15 Accelerators. Lagos has ~80% of the overall startups in Nigeria


• Google and Facebook, opened their own hubs and launched accelerator programmes in Nigeria in 2018

• Total funding of ~$117 Mn has been received by the Nigerian startups in the first three quarters of 2018, of which 20% is grants

• Fintech startups such as Paga, Mines, and Paystack received the major funding last year. Fintech as a whole received the major share of Nigerian startup funding

~600Total number of Startups in

Nigeria

Key Startup Acquisitions

~15Total Hubs

Major Startup Verticals

Company Headcount WorkloadFunding

$13M

Mines offer digital Credit-as-a-Service platform to domestic banks, mobile operators, retailers, and

payment processors~50

$34.7M~250

Paga is an online platform that allows users to transfer money, receive refunds and make mobile payments

directly from bank accounts

Startup Overview

Flutterwave

$20.1M~100

Flutterwave is an online payment gateway that allows merchants and banks to accept, manage and process

digital payments.

Top Funded Startups

~114 MnTotal funding received in

2017


Healthcare Advertising AgritechFinTech E-CommerceEdtech Travel

Bubble size indicates the intensity of Startups

3939

Nigeria

Ibadan

Abuja

Lagos

Abeokuta

Enugu

Ilorin

UNIVERSITY DISTRIBUTION

Ota

Uturu

Yola

Benin

Makurdi

Calabar

Lokaja

Kaduna

Okija

Ondo

Intensity of University

UNIVERSITYCOMPUTER GRADUATES

SOFTWARE DEVELOPMENT

AI/ML/DATA SCIENCE

CLOUD CYBERSECURITY IOTBIG

DATA/ANALYTICSUI/UX

Federal University of Technology,

Minna

~910-950 LOW LOW LOW HIGH

University of Nigeria ~500-540 MEDIUM LOW

University of Ibadan ~400-440 HIGH LOW LOW

Lagos State University, Ojo

~360-410 MEDIUM LOW LOW

Ahmadu Bello University

~330-370 HIGH LOW LOW LOW

Covenant University ~90-130 HIGH LOW LOW LOW

Curriculum Maturity

Number of Courses

HIGH MEDIUM LOW

HIGH MEDIUM LOW

TOP HIRING COMPANIES COST PER HIRING

LOWHIGH$ 11,000 $ 10,000

~14650% 50%

STEM (Science,Technology, Engineering

and Math)

Linguistics andManagement

Course Adoption Rate Key Takeaways

~1 % of the student population is outside the African region

In Nigeria, majority of the students prefer management courses when compared to science and technology courses due to low job opportunities

Nigeria has five major training institutions which provide new age technology courses such as Data Analytics, AI, Business Intelligence, Data Science, Data Mining, Machine Learning

University Overview

Universities In Nigeria

~266,400Total Graduates

~234,400UG

~32,000PG

~149,200

~117,200Male Graduates

Female Graduates

$10,500

University Ecosystem: Nigeria has ~146 universities with ~0.2 Mn graduates. Half of the total graduates has adopted STEM related courses

Note : DRAUP’s Talent Module analysed universities in Nigeria and nearby locations to identify top universities and key courses

4040

University Deep Dive: Federal University Of Technology, Minna

Academic Programmes : ~37

Post-GraduateUnder-Graduate

Graduates: ~3,750

Enrolments: ~20,650

Under-Graduate

Federal University of Technology, Minnawww.futminna.edu.ng

~3,430 ~320

~1,750~18,900

Computer Related Programmes: ~5

Post-Graduate

Full Time Professors : ~84

Computer Science Professors: ~28

KEY TOPICS

KEY ALUMNI COURSES OFFERED

• B.Tech/B.Eng. Computer Science• Ph.D. Computer Science• M.Tech. Computer Science

AWARDS

• Data Structures• AI • Cryptography Theory I • Cyber Crime & Countermeasures • Cloud Computing • Cyber Forensic • Data Mining • Current trends In Cyber Security

COST PER HIRING

LOWHIGH

$ 11,000 $ 10,000$10,500

TOP HIRING COMPANIES

KEY STARTUPS BORN

Zuhri Concept Designs Limited

Dogged WELLS

Oluwaseun SonaikeHead, IT Security Managementat Keystone Bank Limited

Vincent AgalabChief Technology Officer at dew marketing ltd

Amakiri WelekweHead, Information Technology at Shorelink Oil and Gas Services Limited

Fatai OlajideTechnical Head (Cross-river Region) at Globacom

Engr. James UgbojoideChief Technology Officer at Content Oasis Ltd

Sani LokojaAD/Head, Information & Communication Technology at NEMA

Note : The above information is based on data provided by Federal University Of Technology and DRAUP Proprietary Database

• The Federal University of Technology Minna (FUT Minna) is the third best university inthe 6th Nigerian Universities Research Development Fair (NURESDEF)

4141



Graduates: ~9,300

Enrolments: ~24,500

Under-Graduate

University of Ibadanhttps://www.ui.edu.ng/

~5,400 ~3,900

~10,100~14,400


Post-Graduate



KEY TOPICS


• B.Sc. Computer Science• M.Sc. Computer Science• M.Phil./Ph.D. Computer Science

AWARDS

• University of Ibadan was awarded NMGS/CHEVRON RESEARCH AWARD 2010 for the bestpublished Doctorate Research work in the field of Petroleum and Geosciences

• Advanced AI• Data management • Advanced Programming

Techniques • Real Time Programming • Application Programming

COST PER HIRING

LOWHIGH

$ 10,800


KEY STARTUPS BORN

The BlackLeo Hub

Owen EholoTechnical Director at Huawei Technologies

Kelvin Oyanna KHead, Data Science Program at FavCode54

Kelvin UgbanaDirector of Information Systems at PageInfinix

Emmanuel IbrahimHead, Enterprise IT Security at Access Bank Plc

Matt AdesanyaCTO at Workforce Group

Stephen OhiomobaHead (Web, Payment & Collection/ Mobile Management) at Diamond Bank Plc

University Deep Dive: University of Ibadan

$ 10,000$10,400

Note : The above information is based on data provided by University of Ibadan and DRAUP Proprietary Database

4242

University Deep Dive: Covenant University



Graduates: ~1,150

Enrolments: ~7,900

Under-Graduate

Covenant Universityhttps://covenantuniversity.edu.ng/

~714 ~436

~2,900~5,000


Post-Graduate



KEY TOPICS


• B.E. Computer Engineering• B.Sc. Computer Science• M.Sc. Computer Science

AWARDS

• Covenant University was awarded Best Private University 2017 Award

• System Analysis and Design• Internet Programming • AI • Human-Computer Interface

(HCI) • Fundamental of Data Structure• High Performance Computing &

Database Management I

COST PER HIRING

LOWHIGH

$ 10,800


KEY STARTUPS BORN

Startup Fiber

Chukwuebuka OlisaemekaChief Technical Officer at Listaccltd

Seyi OguntundeFounder/CTO atIntellectric

Ayomide AdeniranTechnical Product Manager at Delivery Science Inc

Ojuri FolorunsoHead, Network Operations Center & Datacenter at 21st Century Technologies

Olakunle DavidHead, Software & Applications at Hygeia HMO

Adija UzodinmaBusiness Analyst Manager at RenMoney MFB LTD$ 10,000

$10,400

Note : The above information is based on data provided by Covenant University and DRAUP Proprietary Database

4343

University Deep Dive: Ahmadu Bello University



Graduates: ~7,000

Enrolments: ~49,000

Under-Graduate

Ahmadu Bello Universitywww.abu.edu.ng

~5,700 ~1,300

~9,100~39,900


Post-Graduate



KEY TOPICS


• B.Sc. Computer Science• PGD. Computer Science• M.Sc. Computer Science• Ph.D. Computer Science

AWARDS

NA

• Web Applications Engineering I• Database Management Systems• Human-Computer Interface (HCI) • Computer Knowledge and

FORTRAN Programming• Formal Methods in Software

Development

COST PER HIRING

LOWHIGH

$ 11,000


KEY STARTUPS BORN

Carven Service Limited

Emeka EnwonwuChief Technology Officer at eMerge Technology

Moses AjayiChief Technical Officerat Wavelength Integrated Power Services

Abdulrasheed Bako ZuntuDirector Computer Operation at Bako Zuntu & Co. Ltd

Shola Ezekiel OwokoniranChief Web Officer at Abuja Geographic Information Systems

Nkem Michael OnuorahTechnical Director at BVC CONSULTING LTD

Peter ONIPEHead, Transmission (Abuja & North-Central Nigeria) at Globacom

$ 10,200$10,600

Note : The above information is based on data provided by Ahmadu Bello University and DRAUP Proprietary Database

4444


Under-Graduate

Graduates: ~10,500

Enrolments: ~47,200

Under-Graduate

University of Nigeriahttp://www.unn.edu.ng/

~8,000 ~2,400

~10,900~36,300




KEY TOPICS


• B.Sc. Computer Science• M.Sc. Computer Science• Ph.D. Computer Science

AWARDS

NA

• Machine and Assembly Language• Organisation of Programming

Languages• Structured Programming • AI Concurrent • Programming Data Structure

COST PER HIRING

LOWHIGH

$ 10,800


KEY STARTUPS BORN

Rahmah Omotoyosi OshoalaVP at Teknohub Solutions

Favour Femi-OyewoleChief Information Security Officer at NSE

Dr Alex NdukweChief Technical Officer at TEKVILLE SYSTEMS

Christian OgalabuCEO/CTO at Cosoftaas Limited

Chike IlonubaChief Technical Officer at BocaKonsult Services LLC

Raphael E. EmekaChief Technical Officer at AGE-MATE LIMITED

University Deep Dive: University of Nigeria

Post-Graduate

Post-Graduate

$ 9,900$10,350

Note : The above information is based on data provided by University of Nigeria and DRAUP Proprietary Database

4545


Under-Graduate

Graduates: ~10,500

Enrolments: ~25,800

Under-Graduate

Lagos State University, Ojowww.lasu.edu.ng

~4,850 ~420

~2,040 ~23,760




KEY TOPICS


• B.Sc. Computer Science• M.Sc. Computer Science• M.Phil./Ph.D. Computer Science

AWARDS

• Long Service Award presented to 500+ faculties of Lagos State University

• Human Computer Interaction• AI• Robotics• Functional Programming

COST PER HIRING

LOWHIGH

$ 10,800


KEY STARTUPS BORN

University Deep Dive: Lagos State University, Ojo

Olufemi MogajiHead, Information Security at Venture Garden Group

Tajudeen SalaudeenHead ICT at Association of National Accountant Of Nigeria (ANAN)

Enyinna NlemadimManager/Head IT FUTO Microfinance Bank

Donald IkechukwuLead, Information Security Risk Assurance at FirstBankNigeria

Abolaji Fatai OyeboHead, Technology Services (CIO) at The Nigerian Stock Exchange (NSE)

Oluwasegun AkinotanCTO at MITIGET Assurance and Technology Services

Post-Graduate

Post-Graduate

$ 10,100$10,450

Note : The above information is based on data provided by Lagos State University, Ojo and DRAUP Proprietary Database

4646

Research Focus:

University of IbadanStudent Population: 24,479Full Time Professors: 410https://www.ui.edu.ng/

NA

H-index

~92

Data Mining Knowledge Management Object Oriented Systems

Adenike O. Osofisan

ProfessorEmail:[email protected]:2348033013594

Research Goals• Design and Implement Data warehouse for University of Ibadan• Class Cohesion Metrics in Object Oriented Systems

Affiliations:

NA

Education

B.Sc. Computer Science/EconomicsM.Sc. Information & Computer SciencePh.D. Computer Science

Research Focus:


6

H-index

~9

Software Engineering Data Mining

S.O. Akinola

Senior LecturerEmail:[email protected]:2348056666117

Research Goals• Cognition and software inspection effectiveness

Affiliations:

NA

Education

B.Sc.M.Inf.Sc.Ph.D.

Research Focus:


NA

H-index

~10

AI

Y.O. FolajimiSenior LecturerEmail: [email protected]: 8056648530

Research Goals• Individualize and adaptive learning in Electronic Game-Based

Context

Affiliations:• Federal University of

Technology Akure• Ekiti State University

Education

B.Sc. Computer ScienceM.Sc. Computer SciencePh.D. Computer Science

Research Focus:


NA

H-index

NA

Big Data Analytics Data Mining Machine Learning

Makolo, Angela UcheLecturerEmail:[email protected]: 2348038629948

Research Goals• Intelligent Systems for building Cognitive and Visual Analytics

tools for teaching Bioinformatics• Metabolic Pathway Viewer software

Affiliations:

NA

Education

B.Sc. Computer Sc. & MathematicsM.Sc. Computer SciencePh.D. Computer Science with Bioinformatics

Publication Publication


Citations Citations

Citations Citations

NA 115

NA NA

Key Professor Profiles (1/7)

Source : The above information is based on data provided by University of Ibadan

Note : DRAUP has analyzed top professor profiles based on their number of publications and ongoing research initiatives

4747

Research Focus:

Covenant UniversityStudent Population: 7878Full Time Professors: 51https://covenantuniversity.edu.ng/

7

H-index

~23

AI Data mining Soft Computing

Research Goals• NA

Affiliations:

• University of Lagos• Bells University of Technology

Education

B.Sc. Computer ScienceM.Sc. Information & Computer SciencePh.D. Computer Science

Research Focus:


8

H-index

~29

Bioinformatics AI Algorithm Development

Research Goals• Bioinformatics• Clustering• Fuzzy logic and Algorithms

Affiliations:

NA

Education

Bachelor Degree in Computer Science with MathematicsM.Sc. in Computer SciencePh.D.

Research Focus:


1

H-index

~19

Cloud Computing Software Engineering Cryptography

Research Goals• Fuzzy Logic• e - Human Resource Management /e - Leadership• Software Development

Affiliations:• University of Delhi• University of Lagos

Education

B.Sc. Computer Science M.Sc. Computer SciencePh.D. Computer Science

Research Focus:


1

H-index

NA

NLP Data Science and Robotics Internet of Things


Affiliations:

• University of Ibadan

Education

Ph.D. Computer Science

Olufunke O. Oladipupo

Associate ProfessorEmail:[email protected] Phone:2348033013594

Olanrewaju JeliliOyeladeAssociate ProfessorEmail:[email protected]: 08035755778

Isaac A.Odun-AyoSenior Lecturer Email: [email protected]: +234802882945

Olamma I. IheanetuLecturerEmail:[email protected]:



Citations Citations

Citations Citations

313 370

2 9


Source : The above information is based on data provided by Covenant University


4848

Research Focus:


4

H-index

~10

AI NLP Machine Learning

Research Goals• Develop intelligent software systems with AI methods and

software engineering approaches

Affiliations:

NA

Education

B.Sc. Computer Science Masters - Computer SciencePh.D. Computer Science

Research Focus:


4

H-index

~2

AI Data Mining User Experience


Affiliations:

• University of Zululand• Landmark University

Education

B.Sc. Computer Science M.SC. Computer SciencePh.D. Computer Science

Onyeka Emebo

LecturerEmail: emebo [email protected]: +2348036878407

Azubuike Ezenwoke

LecturerEmail: [email protected]: +234-8030626181

Research Focus:

University of NigeriaStudent Population: 47171Full Time Professors: 51http://www.unn.edu.ng/

5

H-index

~5

Distributed and HPC Big Data Analytics Machine Learning

Research Goals• Design and develop Intelligent Systems• Design clusters for Research and Education Networks, Big

Data Analytics using Machine Learning

Affiliations:

NA

Education

B.E. Computer ScienceM.Sc. Computer SciencePh.D. Electronic Engineering

Udanor Collins NSenior Lecturer Email: [email protected]: +234802882945

Research Focus:

University of NigeriaStudent Population: 47171Full Time Professors: 362http://www.unn.edu.ng/

NA

H-index

~12

AI Parallel Computing Grid Computing

Research Goals• Effect of interruption rate on speech intelligibility (Perceptual

Measurement of Speech Quality and Speech Intelligibility)

Affiliations:

NA

Education

B.E. Computer Science MS Computer Science and EngineeringPh.D. Computer Science

Ebem Deborah UzoamakaLecturerEmail: [email protected]: 8052810722



Citations Citations

Citations Citations

44 37

51 NA


Source : The above information is based on data provided by Covenant University and University Of Nigeria


4949

Research Focus:

Ahmadu Bello UniversityStudent Population: 48953Full Time Professors: 579http://www.unn.edu.ng/

NA

H-index

NA

Cloud Computing Data Science Machine Learning


Affiliations:

• Universiti Teknologi Malaysia

Education

B.Sc. Computer ScienceM.Sc. Computer Science

Research Focus:


NA

H-index

~2

Computer Networking Computer Security Cyber Security

Research Goals• Implement VOIP using Asterisk – Java

Affiliations:

• Universiti Brunei Darussalam

Education

B.Sc. MathematicsMaster of Technology in Computer science

Aliyu GarbaAssistant LecturerEmail:[email protected]: 2348068107088

Obiniyi AyodeleAfolayanProfessorEmail: [email protected]: 8034518843

Research Focus:


NA

H-index

NA

AI Object-oriented Programming


Affiliations:

NA

Education

B.Sc. Computer Science M.Sc. Computer Science

Salahudeen RidwanAssistant LecturerEmail: [email protected]: 8065491787

Publication


Citations

Citations Citations

NA

NA NA

Research Focus:

NA

H-index

NA

Software Development Cloud Computing Theoretical Computing


Affiliations:

NA

Education


Ezugwu ObianujuAssumptaLecturerEmail:[email protected]: 2348035689222

PublicationCitations

NAUniversity of NigeriaStudent Population: 47171Full Time Professors: 362http://www.unn.edu.ng/


Source : The above information is based on data provided by University of Nigeria and Ahmadu Bello University


5050

Research Focus:


NA

H-index

NA

Machine Learning Formal Ontologies Soft computing


Affiliations:

NA

Education

B.Sc. Computer ScienceM.Sc. Computer Science and EngineeringPh.D. Computer Science

Kana Armand FlorentinDonfackSenior LecturerEmail: [email protected]: 8052810722

Research Focus:

NA

H-index

~3

Machine Learning Data mining

Research Goals

Affiliations:

NA

Education


Aminu OnimisiAbdulsalamiAssistant LecturerEmail: [email protected]: 2348060708640

Research Focus:

Federal University of Technology, Minna Student Population: 20620Full Time Professors: 84www.futminna.edu.ng

NA

H-index

NA

Cyber Security Post-Quantum Cryptology

Research Goals• DNA based Cryptography for Image Transmission Security

Affiliations:

• Federal University of Technology Akure

Education

B.Sc./ED –MathM.Tech.Ph.D

Victor Onomza Waziri

LecturerEmail: NAPhone: NA


Publication

Citations Citations

Citations

NA NA

NA

Research Focus:

NA

H-index

NA

Mobile and Cloud Computing Web Application Engineering


Affiliations:

NA

Education


Mohammed TankoYahayaAssistant LecturerEmail: [email protected]: NA

PublicationCitations

NAAhmadu Bello UniversityStudent Population: 48953Full Time Professors: 579http://www.unn.edu.ng/



Source : The above information is based on data provided by Ahmadu Bello University and Federal University of Technology, Minna


• NA

5151

Research Focus:


5

H-index

NA

Big Data Analytics Machine Learning Internet of Things (IoT)


Affiliations:

• Central South University• University of Aizu

Education

Ph.D. Computer Science

Research Focus:


NA

H-index

~17

AI and Machine Learning Computational Intelligence Data Mining


Affiliations:

NA

Education


Research Focus:


NA

H-index

~52

AI and Machine Learning Human Computer Interaction Big Data Analytics


Affiliations:

• Covenant University• Kaunas University of

Technology

Education

B.Tech. Mathematics/Computer ScienceMaster of Science in Computer ScienceDoctor of Philosophy in Computer Science

Muhammad Bashir AbdullahProfessorEmail: [email protected]: 234(0)8037660576

Abisoye OpeyemiAderiikeLecturerEmail: NAPhone: NA

J. K. AlhassanSenior LecturerEmail: [email protected]: 2348040000000

Research Focus:


12

H-index

~32

Cyber Security Cloud Computing Big Data


Affiliations:

• Ahmadu Bello University• University of Malaya

Education

B.Tech. Mathematics/Computer ScienceM.Sc. Computer SciencePh.D. Computer Science

Shafi'I Muhammad AbdulhamidLecturerEmail: [email protected]: 2348040000000



Citations Citations

Citations Citations

107 NA

NA 534


Source : The above information is based on data provided by Federal University Of Technology, Minna


5252

Research Focus:


5

H-index

~22

Machine Learning Cryptography Information Security


Affiliations:

NA

Education

B.Tech. Mathematics and Computer scienceM.Sc. Computer Science

Research Focus:


NA

H-index

~2

Cloud computing Cryptography Network Security Data mining


Affiliations:

NA

Education

B.Tech. Physics/Computer ScienceM.Tech. Cyber Security Science

O. S. Adebayo

LecturerEmail: [email protected]: 2348030000000

Noel, DogonyaroMosesLecturerEmail: [email protected]: 2348060000000

Research Focus:

Lagos State University, OjoStudent Population: 25796Full Time Professors: 79www.lasu.edu.ng

22

H-index

NA

Computer Vision AI Computer Graphics Machine Learning


Affiliations:

• Yale University• University of New Mexico

Education

B.Sc.M.Sc.Ph.D. degree in Computer Science

Aribisala B. SProfessorEmail: NAPhone: NA

Research Focus:

Lagos State University, OjoStudent Population: 25796Full Time Professors: 79www.lasu.edu.ng

7

H-index

NA

Database System Expert System Neural Networking AI


Affiliations:

• Mount Royal University• Bells University of

Technology

Education

B.Sc.M.Tech.Ph.D.

Akinnuwesi B. A

Senior LecturerEmail: NAPhone: NA



Citations Citations

Citations Citations

116 NA

2648 109


Source : The above information is based on data provided by Federal University of Technology, Minna and Lagos State University


5353

Nigerian Training Institute Profile: Few training institutions in Nigeria offers courses in new age areas. They often partner with large technology companies and unicorn startups and also is a major source for the companies to hire trained digital talent

• Introduction to Data Science• Data Prophet Data Science Development Program• Google Making sense of data• Data Science• Data Mining • Machine Learning• Big Data Specialization

• Full Stack Developer• Python• REST• Angular JS• REACT• Data Analytics• AI• Business Intelligence

• NA • NA

• AI• Web Service Tutorial• Python 3 Tutorial• Jquery Tutorial• Sl4A Tutorial

• NA • NA

Courses Sponsors/Partnership Key Trainers

• Clustering• IoT applications for Machine Learning• Classification Models• Object Oriented Python/Performance Optimization• Introduction to Python• Data Pre-Processing

Corne NagelChief Data Scientist at Onefi

Rahmon OjukotolaFounder and Director of StartCredits

Olufemi OyenugaData Scientist ,Oracle.

Arinze AkutekweData Scientist at Fujitsu UK

Shaun RustApplication Architect at Korbicom

James GaylardChief Data Science Officer at 4G Capital

Charles CopleyHead of Data Science at Praekelt.org

Ricki DavimesData Scientist at JUMO.WORLD

Source : The above information is based on data provided by DSN, W3 Tutor, NIIT, Machine Intelligence Of Africa and curated by DRAUP

5454

KENYA – TALENT DEEP DIVE ANALYSIS

5555

KENYA - OVERVIEW

1

~19.6MnTotal Employment

Insights

2

3

4

~110KTotal Tech Talent

~250Total Startups

1Kenya’s 78.4Bn USD economy is growing at a rate of ~6%. Telecommunication contributes ~62% of the total GDP and is expected to grow at a rate of ~6-7% over the next three years driven by rapidly increasing mobile data, high investments in cloud and adoption of 4G technology

1Blockchain and AI initiative by the Kenyan Government aimed at creating a single digital identity, cybersecurity, overall public service delivery, land tilting, and for the election process. This further aims in leveraging subsequent technologies and in creating a large digital talent hub

1Digital services market in Kenya will grow at a rate of ~20-25% in the next three years. Investments in areas such as Cloud, Fintech and Security will support the burgeoning growth

The Government has also planned to create 20,000 IT and Digital jobs in areas such as AI, Big Data / Analytics, Security, etc. by 2030 in Konza technology city which is an emerging technology hotspot

Note: The represented data has been collected from KNBS and curated by Draup

5656

Kenya has a total workforce of ~19.6Mn, with a major chunk of talent employed in the Agriculture and Service Sector

Unemployment rate* ~11.5%

Median age ~20 Years

Sex ratio 50 Females/50 Males

GDP ~$85.9 Bn

GDP growth rate 4.9%

Median Household Income NA

Percentage of Workforce across different industries

Total Workforce : ~49.36 Mn Kenya’s ICT sector has estimated a growth rate of 31.7% in 2017 with

revenue of about $5.48 Bn, while Telecom sector contributes atmost 70% of the total revenue

Nairobi, capital of Kenya has transformed into technology epicenter with startups and innovations

Kenya has moved to 80th position globally in ease of doing business in 2018 out of 190 countries from 92nd position in 2017

Population: ~49.36 Mn

Top Spoken Languages:Kiswahili, English

Ethnicity: Black Africans(99%)

Kenya ranked largest bitcoin holding country worth $1,63 Bn among African countries in 2017

Note: The represented data has been collected from KNBS and curated by Draup

5757

Location Hotspot: Nairobi is the key hotspot in Kenya. Westlands in Nairobi is home for major startups, employers and universities. Technology hubs are sprouting up in Kisumu, Eldoret, Voi, Machakos and Nyeri to promote startups

Note : DRAUP’s Proprietary Talent Module was used to analyse hotspots by locations and Industry wise

Kenya

• Nairobi has ~25 Tech Hubs with ~15 in Westlands. iHub is a tech park hosting top tech companies such as Google, IBM, Facebook and Microsoft

• Tech hubs are also sprouting up in Kisumu, Eldoret, Voi, Machakos and Nyeri

Hotspots in Nairobi

Employer Hotspot Startups Hotspot

~30Total Tech Hubs in Kenya

~25Total Tech Hubs in Nairobi

• Westlands and Kahawa is the hotspot for startups in Nairobi

• Kenya ranked 3rd in Africa for having the most number of Startups in the region

• iHub based out of Nairobi has launched more than 170+ startups

~60Total Universities in Kenya

~25Total Universities in Nairobi

• Westlands is the university hotspot in Nairobi

• Westlands is the home to the top university “University of Nairobi”in Kenya

• In Kenya ~35% of public sector institutions use cloud services

University Hotspot

• Silicon Savannah in Nairobi, a $1 Bn tech hub is home to more than 200 Startups and for established companies like IBM, Intel and Microsoft. The government has planned to build “Konza Technological City” to accelerate the creation of Startups and support the innovation in Big Data, Data Science and Internet of Things

• Nairobi has a presence of ER&D and IT centres of BBC, IBM, Coca-Cola and The Standard Bank developing digital solutions in cognitive computing, Bigdata and IoT

• Nairobi ranked the most intelligent city in Africa and is a technology epicentre which serves as a regional headquarters for global tech giants such as Google, IBM, BBC and The Standard Bank

• Kisumu is the third largest city in Kenya creating ~10,000 jobs annually and hosting techhub such as Lake Hub

Nokia

HuaweiTechnologies

EricssonOracle

Microsoft

Telecom Kenya

Barclays

University of Nairobi

Kenyatta University

Strathmore University

Westlands

Cloud9XP

Once Sync Limited

Tozzaplus

KahawaNairobi

Key Insights

Nairobi

Kisumu

5858

Digital and IT Job families: ~56% of the overall tech talent in Kenya is spread across Software Development and digital verticals. While the talent spread in core digital clusters such as AI/ML, Cloud, Security, IoT and Analytics is ~28% of the overall tech talent

31,000

900

5,500

2,000 1,800

16,500

4,300

Total Talent across Digital and IT job families: ~110,000

Employed talent in Digital and IT Jobs across Job Families



Data Science/ ML/AI

CloudBig Data/


Cyber Security Engineer

Network Security Engineer

Security Analyst

Network Support Engineer

UI/UX Designer

User Experience Designer

UI Developer

Graphic Designer

Cloud Engineer

Cloud Solution Architect

Cloud Operations

EngineerCloud

Infrastructure Engineer

Data Scientist

Business Intelligence

Analyst

ML Engineer

AI Engineer

Software Developer

Full Stack Developer

Mobile Application

Engineer

Web Engineer

Big Data System Engineer

Data Analyst

Big Data Developer

Big Data Analyst

IoT Design Engineer

IoT Engineer

IoT Specialist

IoT Developer

Others

48,000

Others include talent in System Integration, IT Consulting and

Support

System Admin

Desk Support Engineer

IT Consultant

Data Centre Ops Manager

5959

Kenya Technology Talent Distribution: Precisely estimating the talent suited for digital roles, involves several interviews and deeper understanding of technical stacks across resumes and profiles

31,000

Data Science/ ML/AI


CloudBig Data/

Analytics/BIIoT

HardwareSecurity UI/UX

900 5,500 2,000 1,800 16,500 4,300

Top Companies

Other Major Players

Total Talent across 7 tech job families analysed:


6060

Top Skills: Large proportion of employed talent pool is skilled in Java, SQL, and Linux

Ansible 120 Puppet 60 Block chain NLP 40 DDoS 30

HTML 15,000 SQL 15,000 Java 12,500 PHP 9,400 C/C++ 9,000

Django 1,050 Git 1,000 Node.js 960 Ruby 650 Spark 420

Shell Scripting 400 Docker 400 Perl 220 Hadoop 200 Jenkins 200

CentOS 170 Kubernetes 160 Postgres 150 Redux 130 Deep Learning 120

Python 4,600 .NET 3,200 XML 2,600 jQuery 2,600 Ajax 1,500

Hig

hM

ediu

mLo

w


50

6161

Software Development AI/ML/Data Science Cloud

SQL Java RubyNeural Networks

Deep Learning

NLP PerlAnsibleXMLC/C++

Top Skills: SQL, Neural Networks and Ruby are the top skills identified across Software Development, AI/ML and Cloud job families respectively


10,400

9,000

6,000

2,400

SQL Java C/C++ XML

140

120

50

Neural Networks Deep Learning NLP

8580

40

Ruby Ansible Perl

6262

Top Skills: Data Visualization, Python, Incident Response and XHTML are the top skills identified across Big Data / Analytics, IoT, Security and UI/UX job families respectively

UI/UX

Incident Response

Malware Analysis

XHTML CSSInteraction

Design

Data Visualization

Hadoop Scala

Big Data/ Analytics


IoT Security


200

140

50

DataVisualization

Hadoop Scala

150

5040


150

50

IncidentResponse

MalwareAnalysis

400

200180

XHTML CSS InteractionDesign

6363

Cost Analysis: High demand for Cloud and Big Data talent is driving the high salary for these Job rolesM

edia

n S

ala

ry (

USD

) p

er a

nn

um

$22,000$25,000 $26,000

$18,000$21,000

$24,000

$34,000$37,000 $38,000

$24,000

$29,000

$37,000

$43,000

$47,000 $48,000

$31,000

$38,000

$46,000

Software Development Big Data Analytics Cloud UI/UX Security Artificial Intelligence

Entry (0-5) Middle(5-10) Senior (10+)

$35,000$33,000 $36,000 $37,000 $24,000 $29,000

$32,000Average Salary

Note: The represented data has been derived using DRAUP’s Talent Simulation Module

6464

Kenya: Digital Talent Distribution: ~60% of the Digital and IT talent is employed by the top 4 verticals. Software & Internet vertical has the highest Digital and IT talent employing ~43% of the overall talent. ~600 Digital and IT professionals are employed by the startups

43%

7% 6%4%

40%

Software and Internet Telecommunications BFSI Hospital & Health Care Others

Total Digital and IT Talent

~600

Total Digital and IT talent across Enterprises :

~ 109,400

Top Employers Top Employers

Enterprises1 Startups2

Note: Others include talent from industries like Power & Energy, Aviation etc.

Digital Divide Data


6565

Software/Internet Industry Deep Dive: Talent Maturity Analysis – ~53% of the employed digital talent in analysed Job families have 0-5 years of experience

57%

69%

32%

70%

58%

38%47%

32%17%

36%

20%

25%

34%

38%

11% 14%

32%

10%17%

28%

16%




~22,000 ~1,000 ~6,500 ~1,500 ~1,500 ~11,000 ~3,500




6666

Software/Internet Industry Deep Dive: Software developer Job family constitutes majority of the employed digital talent; Tech Giants have high focus on Software Development and Cloud Services

200 - 250

Focus Areas:• Oracle core-to-edge security to protect private and public cloud

environment• Cloud based adaptive intelligent application development with

Machine Learning technology

150 - 200

Focus Areas:• Cloud Computing and AWS Cloud Managed Services• AWS Migration Services for enterprise applications

50 - 75

Focus Areas: • Business Intelligence & Analytics• Cloud Application Development

100 - 150

Focus Areas:• MS Azure development• Facial Recognition technology in AI application• Internet of Things

Products/TechnologiesSoftware CloudBig Data/ Analytics


Data Science

0%0%

0%

0% 0-25% 25%-50%

0%

0%

0% 5% 10%


Digital Divide Data

8% 4% 63% 4% 8% 5% 8%

38% 37% 25% 0%

33% 33% 8% 9% 17%

35% 10% 35% 5%

50-100%

75 - 100

Focus Areas:• Human and machine intelligence for audio and video

transcription36% 7% 36% 0% 14% 7%0%

6767

Telecommunications Industry Deep Dive: Talent Maturity Analysis - ~45% of the employed digital talent in analysed Job families have 0-5 years of experience

40%

75%

24%

67%

43%33%

28%

35%

25%

32%

22%

20%38%

33%

25%20%

44%

11%

37%

22%

39%




~2,350 ~50 ~800 ~100 ~250 ~500 ~200




6868

Telecommunications Industry Deep Dive: Software development Job family constitutes majority of the employed digital talent; Top employers have high focus on Cloud, Security, Bigdata/Analytics and IOT

150-200

Focus Areas:• 4G/LTE Access Network – Mobile Services• Fibre-to-the-Building(FTTB) • Cloud and Hosting Services

50-100

Focus Areas:• Cloud Infrastructure Services• 5G Services

1500 -1700

Focus Areas:• Cloud backup for Data Center• Zuri AI Chatbot for Safaricom mobile data users• Narrowband IoT (NB-IoT) technology

100-150

Focus Areas:• Cloud native network application for 5G and VOLTE service• IoT for M2M Services

100-150

Focus Areas:• Establishment of AI 5G lab using AI• Data Science and Analytics• Airframe Cloud infrastructure – Wi-Fi Services


62%




Science

17%

21%

0% 15%

10%

7%

5%3%

6%

10%

0%

35% 17% 8%10%

6%

1%

0%

0% 25%

50% 0%

15% 7%

5%

0%

15% 6% 8%

20% 10%

0%50%

56%

0% 0-25% 25%-50%


50-100%

6969

BFSI Industry Deep Dive: Talent Maturity Analysis – ~42% of the employed digital talent in analysed Job families have 0-5 years of experience

41%

67%

23%

57%

40%

24%

42%

38%

33%

37%

29%

30%

38%

33%

21%

40%

14%

30%38%

25%




~1,000 ~100 ~400 ~400 ~100 ~400 ~300




7070

BFSI Industry Deep Dive: Software development Job family constitutes majority of the employed digital talent; Top Employers have high focus on Security, UI/UX and Cloud

300-350

Focus Areas: • AI for evaluating loan applications• Big Data for customer analytics• CyberSecurity initiatives to reduce vulnerabilities and breaches

50-100

Focus Areas: • Cyber Security• Analytics for Financial transactions and Payment records

300 -350

Focus Areas:• Chatbot application for customer engagement• Big Data and Analytics for predicting customer behavior

100-150

Focus Areas: • Big Data and Analytics for financial data handling• Application Development for m-Payment

100-150

Focus Areas:• Develop Eazzy Banking digital platform for online banking• Big Data and Analytics for customer targeting


62%




Science

7%

13%

4% 10%

0%

0%

12%0%

7%

0%

0%

50% 0% 50%0%

4%

0%

4%

0% 0%

75% 0%

36% 13%

0%

12%

12% 3% 12%

0% 13%

0%38%

64%

0% 0-25% 25-50%


50-100%

7171

HealthCare Industry Deep Dive: Talent Maturity Analysis – Over 50% of the employed digital talent in analysed Job families have 0-5 years of experience

50% 50%40% 43% 44%

50%

75%

33%

50%

20%

29% 25%

25%

25%18%

40%29% 31%

25%




~500 ~25 ~50 ~100 ~200 ~100 ~50




7272

Focus Areas:• Cloud adoption in medical records

100 - 150

Focus Areas:• mHealth application: Digital patient records

30 -50

Focus Areas:• Image guided & robot assisted surgeries

40- 60

Focus Areas:• Smart sensors for remote patient and device monitoring

50-100

Products/TechnologiesSoftware

DevelopmentCloud

Big Data/ Analytics


Data Science

0%

0%

50%

0%0%

0%25%

0%

0% 40%

0%

0%

33%

0%50%0%

0%

0%

0% 0-25% 25%-50%

25%

HealthCare Industry Deep Dive: Software development Job family constitutes majority of the employed digital talent; Top Employers have high focus on IoT and Security services


34% 33% 0%

20% 20% 20% 0%0%

50%

Ministry Of Healthcare, Kenya

7373

~10Total number of

Accelerators

• Financial Technology Startup Weza Tele was acquired by financial services giant, AFB for $1.7 Mn

• UK-based Maximeyes Group acquired Kenyan data collection Startup Bamba Group

Kenya Startup Overview: Kenya is home to Fintech startups with a high focus on development Blockchain and Crypto-currency. It is also home to ~250 Startups


• Kenya is the biggest tech hub in Africa and is has startups in payments, logistics, block chain, e-commerce, insure-tech and tourism employing a significant technology talent

• ~40% of the blockchain companies received seed funding from local and international investors in the last year

• Kenya received the highest investments for Startup in first half of 2018. 5 of the top 10 funded companies during this period is headquarted in Kenya

• Cellulant, a Fintech startup that received the highest investment of $47.5 Mn in 2018 in Kenya

~250Total number of Startups in

Nigeria

Key Startup Acquisitions

~12Total Hubs

Company Headcount WorkloadFunding

Africa’s Talking integrates reliable two-way SMS, voice, and USSD functionality across network service providers

and offer customized mobile messaging solutions

TALA is a financial technology company that develops a mobile lending application offering personalized and

real-time credit scores

Startup Overview

Cellulant is a mobile commerce platform that offers payment processing, reconciliation and digital banking

solutions for retailers and businesses

Top Funded Startups

~147 MnTotal funding received in

2017

$109.4M~100

Cellulant

$54.5M~200

$8.5M

Africa’s Talking

~100

Tala

Major Startup Verticals

E-CommerceHealthcareEnergy/Power

AgritechFinTech LogisticsEdtech Travel

Bubble size indicates the intensity of Startups

7474

UNIVERSITYCOMPUTER GRADUATES

SOFTWARE DEVELOPMENT

AI/ML/DATA SCIENCE

CLOUD CYBERSECURITY IOTBIG

DATA/ANALYTICSUI/UX

Kenyatta University ~450-550 MEDIUM MEDIUM LOW LOW

Jomo Kenyatta University Of Agriculture

&Technology

~900-1100 HIGH LOW LOW

University of Nairobi ~900-1100 MEDIUM LOW LOW LOW

Strathmore University

~350-450 LOW LOW

United States International

University Africa

~350-450 MEDIUM LOW LOW LOW

Curriculum Maturity

Number of Courses

HIGH MEDIUM LOW

HIGH MEDIUM LOW

TOP HIRING COMPANIES COST PER HIRING

LOWHIGH$ 12,000 $ 9,000

$10,500

~4753%

47%

STEM (Science,Technology, Engineering

and Math)

Linguistics andManagement

Course Adoption Rate Key Takeaways

Kenya Industrial Property Institute partnered with Kenyatta University to establish the Technology and Innovation Support Centre to enhance access to services such as patent searches, patent drafting.

Gross enrolment ratio in tertiary education for Kenya is 11.6 %.

The most marketable courses in Kenya fall in two fields Science, Technology, Engineering and Mathematics (STEM) and Business.

University Overview

Universities In Kenya

~181,300Total Graduates

~166,800UG

~14,500PG

~93,300

~87,300Male Graduates

Female Graduates

Kenya

Chuka

Nairobi

Eldoret

Kisumu Meru

Kericho

Machakos

Mombasa

Lodwar

Kilifi

Nakuru

ThikaKaratina

Bondo

Garissa

Taita Taveta

Intensity of University

UNIVERSITY DISTRIBUTION

University Ecosystem: Kenya has ~47 universities with ~0.18 Mn graduates. More than 50% of the graduates has adopted STEM related courses

Note : DRAUP’s Talent Module analysed universities in Kenya and nearby locations to identify top universities and key courses

7575

University Deep Dive: Kenyatta University



Graduates: ~24,000

Enrolments: ~80,000

Under-Graduate

Kenyatta Universityhttp://www.ku.ac.ke/

~22,100 ~1,900

~6,400~73,600


Post-Graduate



KEY TOPICS


• B.Sc. Computer Science• MSc. Computer Science• Diploma in Information Technology

AWARDS

• Kenyatta University won the Daily Trust African of the Year Award for anti-FGM app

• Natural Language Processing • Neural Networks• Robotics• Data Warehouse and Data Mining• Computer Systems Security• Human Computer Interface• AI

COST PER HIRING

LOWHIGH


KEY STARTUPS BORN

Nick SabwaC.T.O at COHESU

Angelina Ndung'uICT & Business Strategy Lead at Eighty Leverage Limited

Kipkirui RonaldSoftware Security & Support Lead at Cyberschool Technology Solution

Ananda JerminHead Of Technology at AdvantaAfrica Ltd

Edgar MwangiLead Consultant (Cyber Security) at Revere Technologies Limited

David KimunguiTechnical Lead - Infrastructure Manager at Reelforge Media Intelligence

$ 13,600 $ 12,600$13,100

Note : The above information is based on data provided by Kenyatta University and DRAUP Proprietary Database

7676



Graduates: ~12,600

Enrolments: ~42,000

Under-Graduate

JKUAThttp://www.jkuat.ac.ke/

~11,600 ~1,000

~3,400~38,600


Post-Graduate



KEY TOPICS


• B.Sc. Computer Science• M.Sc. Computer Science• Ph.D. Computer Science

AWARDS

• Systems Programming• AI• Neural Networks• Structural Programming• Cryptography And Network

Security• Cryptography and Computer

Security

COST PER HIRING

LOWHIGH


KEY STARTUPS BORN

Gachoka MSenior Network and Security Engineer at KonvergenzNetwork Solutions

Charles MutindaHead of Information Technology and Security at Apps On Point Limited

John MathengeGroup Head of IT at Java House Africa

Daniel GathigaiCo-Founder and CTO at Tambua Health

Sila StevenChief Technical Officer at Microsil Systems

Eddah MHead of ICT at The Standard Group LTD

$ 12,600 $ 11,000$11,800

University Deep Dive: JKUAT

AngeLin

Note : The above information is based on data provided by JKUAT and DRAUP Proprietary Database

• Bayer Innovation Award

7777



Graduates: ~ 23,700

Enrolments: ~79,000

Under-Graduate

University of Nairobihttp://www.uonbi.ac.ke/

~21,800 ~1,900

~6,300~72,700


Post-Graduate



KEY TOPICS


• B.Sc. Computer Science• M.Sc. Applied Science• Ph.D. Computer Science

AWARDS

NA

• Web Programming And Applications

• AI Programming• Machine Learning• Computer Network Security

COST PER HIRING

LOWHIGH


KEY STARTUPS BORN

Paul MutindaLead Consultant- Cyber Security at Cyber Roam Africa Technologies LTD

Kennedy AsedaLead Network Operations & Security Engineer at KENET

Douglas Kuritto KisioTechnical Lead at Vulkan Solution Services ltd

Bernard RonoHead of ICT at Kenya Tea Packers Limited

Sylvester MutuliChief Technical Officer at Network Four Limited

Isaiah KibetSenior Technical Analyst at Network International

$ 13,600 $ 12,600$13,100

University Deep Dive: University Of Nairobi

Note : The above information is based on data provided by University Of Nairobi and DRAUP Proprietary Database

7878

ShambaIntel Africa Limited



Graduates: ~ 5,430

Enrolments: ~18,100

Under-Graduate

Strathmore University www.strathmore.edu

~5,000 ~430

~1,400~16,700


Post-Graduate



KEY TOPICS


• B.Sc. Computer Science• M.Sc. Information Systems (MSc CIS)• M.Sc. IT

AWARDS

• Awarded Financial Reporting (FiRe) award for promoting integrated reports• Academy of Business in Society (ABIS) 2017 Global Sustainability Award for the project

“Sustainability Strategy Agenda”

• Computer Vision• Intelligent Systems• Deep Technical Programming

COST PER HIRING

LOWHIGH


KEY STARTUPS BORN

John MuthurimiTeam Lead - Mobile Application Development at Software Group

Judy NgureSenior QA Engineer at WPP-Scangroup

Hartnell NdungiChief Data Officer at Absa Group

Philip MudenyoLead Software Developer at Legitimate Technology

Kagonya AworiHuman Experience and Design Lead at Safaricom Alpha

Cynthia KInformation Security Leader -Sub Saharan Africa at GE

WeShape Digit

$ 10,800 $ 11,600$11,200

University Deep Dive: Strathmore University

Note : The above information is based on data provided by Strathmore University and DRAUP Proprietary Database

7979



Graduates: ~2,550

Enrolments: ~8,500

Under-Graduate

U.S.I.Uwww.usiu.ac.ke

~2,350 ~200

~700~7,800


Post-Graduate



KEY TOPICS


• B.Sc. Applied Computer Technology• M.Sc. IST

AWARDS

NA

• Human Computer Interaction• Information System Security• Computer Forensics and

Investigation • Object Oriented Design and

Programming• Mobile Programming• Cryptography and Network

SecurityCOST PER HIRING

LOWHIGH


KEY STARTUPS BORN

Joan AmbutuHead of IT - East Africa at Unilever

Emmanuel ChebukatiHead of Infrastructure and Security at Hepta Analytics

Ruphin ByamunguChief Information Officer at Kivuhub

Tom Mboya OpiyoHead of ICT/CIO at Unga Group Ltd

Joackim ApondoSn Integrationr. ICT Officer-Systems & Data Systems Lead at KALRO

Naom KeruboData Analytics Lead at Crescentech Ltd

hand2cloud

$ 8,000 $ 10,000$9,000

University Deep Dive: U.S.I.U

Note : The above information is based on data provided by USIU and DRAUP Proprietary Database

8080

Research Focus:

Strathmore UniversityStudent Population: 15100Full Time Professors: 180www.strathmore.edu

NA

Citations

NA

H-index Publication

NA

Data Mining Pattern Mining Trend Prediction

Research Goals• Intelligent Systems and Machine Learning, Fuzzy Logic and their

application in Affective Computing

Affiliations:

• University of Paris

Education

B.Sc. Computer ScienceM.Sc. Information Technology ManagementPh.D. Computer Science

Research Focus:


NA

Citations

NA

H-index Publication

NA

Databases and Business Intelligence

Data Science Image processing


Affiliations:

• Katholieke Universiteit Leuven

• University of Tubingen

Education

B.Sc. Business Information TechnologyM.Sc. Information TechnologyPh.D.

Joseph Orero

LecturerEmail: NAPhone: 0703-034000

Bernard Shibwabo

Senior LecturerEmail: NAPhone: 0703-034000

Research Focus:


NA

Citations

NA

H-index Publication

NA

Database Systems Big Data and Analytics Health Informatics

Research Goals• Develop Software applications for various divisions, departments

and units within the Ministry of Health

Affiliations:

NA

Education

B.Sc. Applied Math and StatisticsM.Sc. Information Systems

Nicodemus Maingi


Research Focus:


NA

Citations

NA

H-index Publication

NA

Mobile Application Programming Networking


Affiliations:

• University of Paris

Education

B.Sc. Computer ScienceM.Sc. Mobile Telecommunications and Innovation

Daniel Machanje



Source : The above information is based on data provided by Strathmore University


8181

Research Focus:

NA

Citations

NA

H-index Publication

NA

Databases/ Data Mining Management of Information

Technology Big Data


Affiliations:

NA

Education

M.Sc. Information Technology

Research Focus:


NA

Citations

NA

H-index Publication

NA

Cloud Computing Big Data Computing Mobile Computing Internet Of Things


Affiliations:

• Katholieke Universiteit Leuven

• University of Tubingen

Education

M.Sc. Information Technology

Conrad Ojiambo

Assistant LecturerEmail: NAPhone: 0703-034000

Steve Kayugira


Research Focus:

University of NairobiStudent Population: 79000Full Time Professors: 2,692 www.uonbi.ac.ke

479

Citations

12

H-index Publication

NA

Machine learning Data Mining AI

Research Goals• NA.

Affiliations:

• University of Antwerp• University of the Western

Cape

Education

B.Sc. (Hons) PhysicsM.Sc. Computer Science & ApplicationsPh.D. Computer Science

Wagacha Peter WaiganjoProfessorEmail: [email protected]: 4447870

Research Focus:


NA

Citations

NA

H-index Publication

NA

Distributed Computing Architectures and Technologies Computer Network Security Cyber-Physical Systems


Affiliations:

• Technical University of Kenya

Education

B.Sc. Mathematics M.Sc. Electrical Engineering Ph.D. Computer Science

William Okelo-odongoProfessorEmail: [email protected]: 254-733-805246



Source : The above information is based on data provided by Strathmore University and University of Nairobi


8282

Research Focus:


41

Citations

4

H-index Publication

~15

AI Natural Language processing

Research Goals• Design and develop models and associated algorithms

Affiliations:

NA

Education

B.Tech.(Honors) EngineeringM.Phil. EngineeringPh.D. Computer Science Program

Research Focus:


NA

Citations

NA

H-index Publication

~6

Wireless Communication Systems; Mobile & Ubiquitous Computing

Machine Learning


Affiliations:

NA

Education

B.Sc. Computer ScienceM.E. Electrical Engineering and Computer Science Ph.D. Computational Science and Engineering

Eng Lawrence MuchemiLecturerEmail: [email protected]: 254 722 234738

Abade Elisha Odira

LecturerEmail: [email protected]: NA

Research Focus:


33

Citations

3

H-index Publication

~78

Cloud Computing AI Data Structures and Algorithms Distributed Systems

Research Goals• Develop applications of multi-agent systems using cloud

computing and AI for health and education

Affiliations:

NA

Education

Bachelor of Education (Science)M.Phil.(Computer Science)Ph.D. Computer Science

Opiyo Elisha T Omulo

Senior LecturerEmail: [email protected]: 722601224

Research Focus:

29

Citations

3

H-index Publication

~6

AI Machine Learning Web Programming


Affiliations:

NA

Education

B.Sc. Computer ScienceM.Sc. Applied Computer SciencePh.D. Computer Science

Miriti Evans A K

LecturerEmail: [email protected]: 0721-582774



Source : The above information is based on data provided by University of Nairobi


8383

Research Focus:

2

Citations

1

H-index Publication

~4

User Experience Design Human Computer Interaction Systems Analysis and Design


Affiliations:

NA

Education

M.Sc. Computation graduate Ph.D. Information Systems

Research Focus:


274

Citations

7

H-index Publication

~2

Bioinformatics Machine Learning


Affiliations:

NA

Education

B.Sc. Computer ScienceM.Sc. Intelligent Systems

Ruhiu Samuel N

LecturerEmail: [email protected]: 254-20-4444919

Walia Rasna Rani

LecturerEmail: [email protected]: 254-20-4444919

Research Focus:

Kenyatta UniversityStudent Population: 20700Full Time Professors: 207 www.ku.ac.ke

NA

Citations

NA

H-index Publication

NA

Micro-Processing Systems Distributed Systems AI Robotics


Affiliations:

NA

Education

B.Sc. Information Science and Computer Engineering M.Sc. Information Science and Computer Engineering

Dancan Kibui

Assistant LecturerEmail: [email protected]: 43844-00100

Research Focus:


NA

Citations

NA

H-index Publication

NA

Big Data Analytics Business Intelligence Systems Informatics Data Mining


Affiliations:

NA

Education

B.Ed. ScienceM.Sc. Information Systems Engineering

Michael MuiaMunyaoAssistant LecturerEmail: [email protected]: 51638, 00200



Source : The above information is based on data provided by University of Nairobi and Kenyatta University


8484

Research Focus:


NA

Citations

NA

H-index Publication

NA

Machine learning Intelligent systems Data mining


Affiliations:

NA

Education

BSc. Computer ScienceMSc. Management Information Systems

Research Focus:


NA

Citations

NA

H-index Publication

NA

Big Data Analytics Distributed Systems Programming and Application

Development


Affiliations:

NA

Education

B.Sc. Information Technology M.Sc. Computer Science

Emma Cheserem

LecturerEmail: NAPhone: 43844 – 00100

Christopher Kiama

Assistant LecturerEmail:[email protected]: 43844 00100

Research Focus:


NA

Citations

NA

H-index Publication

NA

Big Data Analytics Intelligent Agents & Distributed

Systems E-Monitoring& Evaluation


Affiliations:

NA

Education

B.Sc. Information Technology M.Sc. Computer Science

Bernard Ondara

Assistant LecturerEmail: [email protected]: 43844 00100

Research Focus:

Kenyatta University Of Agriculture & Technology (JKUAT)Student Population: 42900Full Time Professors: 105www.up.ac.za

159

Citations

6

H-index Publication

NA

Multimedia Data Retrieval Internet of Things Evolutionary Computation for

Optimization


Affiliations:

NA

Education

NA

Kipruto, W. Cheruiyot

Associate proffessorEmail: NAPhone: NA


Source : The above information is based on data provided by Kenyatta University


8585

Research Focus:

U.S.I.U(United States International University Africa)Student Population: 8425Full Time Professors: 140www.ku.ac.ke

NA

Citations

NA

H-index Publication

NA

Software Engineering Cloud Computing


Affiliations:

NA

Education

B.Ed. Mathematics and Physics. M.Sc. Managing Information Systems

Research Focus:

U.S.I.U(United States International University Africa)Student Population: 8425Full Time Professors: 140www.ku.ac.ke

2

Citations

1

H-index Publication

NA

Cyber-Security Cyber Crime Information Security Forensics

Research Goals• Cyber-Security Researcher at the Centre for Informatics Research

and Innovation (CIRI)

Affiliations:

NA

Education

B.Sc. Computer Science M.Sc. Network Systems

Leah Mutanu Mwaura


Paula Musuva-Kigen



Source : The above information is based on data provided by U.S.I.U


8686

• Network services and Monitoring• Introduction to Network Operations: UNIX/LINUX &

DNS • Python Prep• Algorithms and Modeling• Introduction to Data Science using Python

• NA

• Android Application Programming• Web Application Programming• Data Mining• Ethical Hacking And Cyber Security• Robotics And AI• Business Management Software• Api Engineering

• NA

• R Basics (Sprint)• Cleaning Data in R (Sprint)• Exploratory Data Analysis(Sprint)• Supervised Learning (Deep dive)

• NA

• Data Science & Analytics• Web, Mobile & Software Development(Ajax, Html 5,

Java, XHTML, Android, Software Testing, Word Press)• IT & Networking• Design & Creative

• NA • NA

Mercy NjueFounder at BotLabKenya

Jane NteereAdministrator, Africa Nazarene University

Waiganjo WagachaProfessor, University of Nairobi

Kendi MuchungiCo-founder Nikola Energy

Kamande WambuiData Science Lead

Courses Sponsors/Partnership Key Trainers

Kenyan Training Institute Profile: Few training institutions in Kenya offers courses and certifications such as Python, Data Mining, Robotics, etc. developing digital talent in areas such as Data Science & Analytics, AI and Cybersecurity

Source : The above information is based on data provided by Botlab, TechCamp, Moringa, Ajiira and curated by DRAUP

Source : DRAUP

87

87

https://twitter.com/zinnov

https://twitter.com/zinnov

http://facebook.com/ZinnovManagementConsulting

http://facebook.com/ZinnovManagementConsulting

https://www.linkedin.com/company-beta/30724/

https://www.linkedin.com/company-beta/30724/

https://www.youtube.com/channel/UCgEN1J9L2jTqBOlWsH65w8w

https://www.youtube.com/channel/UCgEN1J9L2jTqBOlWsH65w8w

mailto:[email protected]?subject=How can we help you?

mailto:[email protected]?subject=How can we help you?

NIGERIA & KENYA DEEP DIVE JANUARY 2019 · SOUTH AFRICA KENYA MOROCCO EGYPT NIGERIA SOUTH AFRICA...

Documents

Transcript of NIGERIA & KENYA DEEP DIVE JANUARY 2019 · SOUTH AFRICA KENYA MOROCCO EGYPT NIGERIA SOUTH AFRICA...