This presentation, including any supporting materials, is owned by Gartner, Inc. and/or its affiliates and is for the sole use of the intended Gartner audience or other authorized recipients. This presentation may contain information that is confidential, proprietary or otherwise legally protected, and it may not be further copied, distributed or publicly displayed without the express written permission of Gartner, Inc. or its affiliates. © 2011 Gartner, Inc. and/or its affiliates. All rights reserved.

Lisa Kart

Research Director

Lisa.Kart@gartner.com

High-Tech Tuesday Webinar: Big Data Opportunities in Vertical Industries

@GARTNER_INC

Gartner at a Glance

800 Analysts

12,000 Client

Organizations

290,000 Client

Interactions

Vertical Coverage

in Nine Industries

5,500 Benchmarks

10,200 Media

Inquiries

World's Largest

Community of CIOs

64 Conferences

76% of Global 500

1,700 Consulting

Engagements

Clients in 85 Countries

70% of Fortune 1000

480 Consultants

This presentation, including any supporting materials, is owned by Gartner, Inc. and/or its affiliates and is for the sole use of the intended Gartner audience or other authorized recipients. This presentation may contain information that is confidential, proprietary or otherwise legally protected, and it may not be further copied, distributed or publicly displayed without the express written permission of Gartner, Inc. or its affiliates. © 2012 Gartner, Inc. and/or its affiliates. All rights reserved.

Lisa Kart

Research Director

Lisa.Kart@gartner.com

High-Tech Tuesday Webinar: Big Data Opportunities in Vertical Industries

Big Data: Hype vs. Reality?

3

Poll No. 1: Big Data Is …

• Hype, marketing for something that is already being done today

• Something new that will result in real spending by organizations and require new solutions

• Not sure/"on the fence"

4

Big Data: Hype vs. Reality?

5

Agenda

• What is "Big Data"?

• Industry-Specific Business Problems

• Comparing Industry Opportunities

• Big Data Providers in Industries

• Key Take-Aways

• Q&A

6

What Is "Big Data"?

"Big data" is high-

volume, high-velocity

and high-variety

information assets that

demand cost-effective,

innovative forms of

information processing

for enhanced insight and

decision making.

Source: The Importance of 'Big Data': A Definition, Mark Beyer, Douglas Laney, G00235055

7

Industry Examples

8

Poll No. 2: Where Are You Currently With Big Data?

• Not sure/trying to decide if it is real

• Evaluating/sizing the market opportunity

• Repositioning/redeveloping existing products and services

• Developing new products and services

• Have a sales pipeline/current projects under way for big data solutions

9

Comparison of Data Characteristics by Industry

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Wh

ole

sa

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rad

e

Volume

of Data

Velocity

of Data

Variety

of Data

Potential big data opportunity on each dimension is:

Very hot (compared with other industries)

Hot

Moderate

Low

Very low (compared with other industries)

10

Comparison of Data Characteristics by Industry

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rad

e

Volume

of Data

Velocity

of Data

Variety

of Data

Underutilized

"Dark Data"

Potential big data opportunity on each dimension is:

Very hot (compared with other industries)

Hot

Moderate

Low

Very low (compared with other industries)

11

Comparison of Spending Intensity by Industry

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Hardware

Software

Services

Potential big data opportunity on each dimension is:

Very hot (compared with other industries)

Hot

Moderate

Low

Very low (compared with other industries)

12

Storage Growth Across Industries

Banking and Securities

Communications and Media

Education

Healthcare Providers

Insurance

Manufacturing Retail

Transportation

Utilities

Wholesale Trade

8

9

10

11

12

13

14

0.5 1.0 1.5 2.0 2.5 3.0 3.5

An

nu

al

Gro

wth

Ra

te i

n D

ata

Sto

rag

e

20

11 a

nd

20

16

(%

)

Data Storage Spend as Percentage of Total IT Spending

2011

2016

Source: Gartner (July 2012)

13

N = 473

Has your organization already invested in technology specifically designed to address the big data challenge?

Yes 27%

No, but plan to within the

next year 15% No, but plan

to within two years 16%

No plans at this time

31%

Don’t know 11%

Invested in technology for big data?

More than 25% already invested in technology for big data.

Thirty-one percent plan to invest in technology for big data during the next two years.

Source: Gartner (July 2012)

Big Data Investments

14

39% 29%

36% 36% 25% 21%

31% 22% 23% 23%

17%

12% 11% 15%

20% 18%

17%

12% 18%

8%

17%

29% 21% 15% 15%

21% 11%

18% 9%

18%

28%

18% 29%

25% 30% 36%

28% 30% 37% 35%

12% 4%

9% 10% 5% 14% 18%

13% 16%

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Don’t know

No plans at this time

No, but plan to within two years

No, but plan to within the next year

Yes

Source: Gartner (July 2012)

Has your organization already invested in technology specifically designed to address the big data challenge?

Big Data Investments by Industry

15

What You Need to Do to Capitalize on the Big Data Opportunity

1. Get familiar with industry-specific business problems

2. Know the data characteristics in each industry

3. Understand where the spending is happening

4. Match market needs with your own solutions and capabilities

16

Big Data Solution Providers by Industry B

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kin

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nd

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un

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s,

Med

ia a

nd

Serv

ices

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on

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Healt

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P

rov

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Insu

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ce

Man

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an

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atu

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Reso

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on

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es

Wh

ole

sale

Tra

de

1010data

Nice Actimize

Panopticon Software

Quartet FS

Streambase Systems

Infochimps

Pervasive Software

Splunk

Visible Measures

Knewton and Carnegie Learning

MyFit/ Naviance

Digital Reasoning

HP

Socrata

Cerner

Explorys

Humedica

Recombinant Data

The Climate Corp.

Octo Telematics

Qualcomm

Sprint

Aspen Technology

CSC

Invensys

OSIsoft

Pentaho

First Insight

First Retail

Manhattan Associates

Qualcomm

ABB

Alstom

Cloudera

Siemens

Epicor

Fujitsu

Infor

Vistex

Multiple Industries: Apache Hadoop, EMC Greenplum, IBM, Informatica, Microsoft, Opera Solutions, Oracle, SAP, SAS Institute, Teradata

17

Summary, Key Take-Aways

• Real spending around big data

• To find your areas of opportunity:

- Understand specific business problems and use cases

- Know the nature of the data by industry

- Find areas of spending and growth

- Match your capabilities to these opportunities

• Vertical industry expertise is key

18

Vertical Industries Team: Helping Providers Understand Vertical Markets

Christine Adams

GTM & MVP

Applications, Industries, M&C

Susan Cournoyer

MVP, Vertical Industries

Financial Services

Contributing Analysts

Jeff Roster

Research VP

Retail

Rishi Sood

Research VP

Government

Vertical Industries

Derry N. Finkeldey

VI Agenda Manager, Principal Analyst

Insurance, Vertical Industries, APAC

Vittorio D’Orazio

Research Director

Financial Services

Vertical Industries, EMEA

Venecia Liu

Research VP

Media & Communications

NA & APAC

Anurag Gupta

Research Director

Healthcare & Government

EMEA & APAC

Lisa Kart

Research Director

Financial Services

Kenneth F. Brant

Research Director

Manufacturing

Robert P. Anderson

Research VP

Wholesale, Transportation/Travel

SMB Agenda Manager

Small and Midsize Enterprises

Christine Arcaris

Research Director

Government, Utilities

Rika Narisawa

Research Analyst

Vertical Industries, Japan

19

Gartner Data Center Summit

November 27 – 28, London, U.K.

Gartner Catalyst Conference

August 20 – 23, San Diego, CA

20

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21

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Recommended Reading

Market Trends: Big Data Opportunities in Vertical Industries Lisa Kart (G00235734)

The Importance of 'Big Data': A Definition Mark Beyer, Douglas Laney (G00235055)

Hype Cycle for Big Data, 2012 Anne Lapkin (G00235042)

Big Data Special Report David Newman, Mark Beyer (G00233537)

23