Mobile telecommunications in developing countries part 3
-
Upload
warwick-business-school -
Category
Technology
-
view
1.605 -
download
0
description
Transcript of Mobile telecommunications in developing countries part 3
Copyright GSM Association * All GSM Association meetings are conducted in full compliance with the GSM Association’s anti-trust compliance policy
Mobile in the Developing WorldMobile in the Developing World
Gabriel SolomonGabriel Solomon
Senior Vice President, Public PolicySenior Vice President, Public Policy
Copyright GSM Association
AgendaAgenda
1. Market briefing
2. Africa
Copyright GSM Association
Global Coverage and Penetration
0%
20%
40%
60%
80%
100%
1999 2000 2001 2002 2003 2004 2005 2006 2007 E
Area (GSM) Wireless Penetration Population (GSM)
Source: Wireless Intelligence, Intelecon Research, Paul Hamilton
Copyright GSM Association
Where Are We Today?
Source: GSMA Estimates
Wireless coverage,
not connected est. 3 bn
3 billion
Wireless
Subscribers
No wireless coverage est. 1.2bn
Annual Per Capita Income
>$20,000
$1,500 - 20,000
<$1,500
75-100 million
1,500-1,750 million
Population Mode of Connection
Po
st Pa
y
Pre
Pa
y
Sh
ared A
cce
ss
Copyright GSM Association
Mobile v Fixed
Source: Wireless Intelligence
0
500
1000
1500
2000
2500
3000
3500
4000
1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008
Mobile Fixed
000s
Copyright GSM Association
Market Penetration
Penetration by Region Q2 07
Source: Wireless Intelligence
0%
20%
40%
60%
80%
100%
120%
Copyright GSM Association
Bearer Technology
Market share of mobile technologies Q2 07
Source: Wireless Intelligence
0%
10%20%
30%
40%50%
60%
70%
80%90%
100%
CDMA x GSM WCDMA Other
Copyright GSM Association
SAQ
Subscriber Acquisition Costs
Source: Wireless Intelligence
050
100150200250300350400
2001 2002 2003 2004 2005 2006 2007
US
D $
Copyright GSM Association
Effective Price Per Minute
Source: Wireless Intelligence
US
Cen
ts
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
0.45 Bangladesh
Belgium
Canada
Chile
China
Czech Republic
Finland
France
Germany
Greece
India
Japan
Korea, South
Malaysia
Netherlands
Norway
Portugal
Russian Federation
Sweden
Turkey
United Kingdom
Copyright GSM Association
Economies of Scale
Average Selling Price (ASP) of low-end GSM handset
Source: Arete
Rapid growth of next generation networks
ASP of low-end GSM handset ASP
ASP of silicon for low-end GSM handset
WCDMA Blended ASPs
WCDMA High-tier Prices
WCDMA Mid-tier Prices
WCDMA Entry-tier Prices
Copyright GSM Association
Digital Divide Trends
Source: 2002: The Digital Divide: ICT Development Indices 2004; United Nations
NB: Gini Coefficient is a measure of equality, the closer to 0, the greater the level of equality; the closer to 1, the greater the divide.
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
11995 1996 1997 1998 1999 2000 2001 2002 2003e 2004e 2005e 2006e 2007e 2008e 2009e 2010e
Internet hosts Internet users PCs Mobile Subscribers Telephone mainlines
Gin
i Coe
ffic
ient
(0 =
Per
fect
Equ
ality
; 1
= P
erfe
ct I
nequ
ality
)
Copyright GSM Association
AgendaAgenda
1. Market briefing
2. Africa
Copyright GSM Association
Africa Coverage and PenetrationAfrica Coverage and Penetration
0%
20%
40%
60%
80%
100%
1999 2000 2001 2002 2003 2004 2005 2006 2007 E
Area (GSM) Wireless Penetration Population (GSM)
Copyright GSM Association
Annual Coverage Growth
Source: Paul Hamilton
Copyright GSM Association
Access & Services
• Investment decisions balanced between:
• Services• Increasing penetration/
capacity in existing areas• Payphones• Affordability
• Lower scratch card values• E-refill• Per second billing• Tariffs
• Access• Increasing
coverage
&
Copyright GSM Association
Operators Build 4 Networks
Radio• Towers, Base Stations
Transmission • Microwave, Satellite or Fibre
Power network• Generators, and the means to supply them
Distribution network• Distribute Pre Paid Cards, collect revenue
2
1
3
4
Copyright GSM Association
The Problem
AREA IN SQUARE KMs POPULATION
ChinaUSAIndiaEuropeArgentinaNew Zealand
9,604,7339,370,7053,290,2514,940,9992,763,139
268,894
ChinaUSAIndiaEuropeArgentinaNew Zealand
1,321,851,999301,139,947
1,110,396,035727,700,00040,301,9274,115,771
Total 30,244,721 Total 3,505,505,679
Africa 30,343,551 Africa 928,412,606
Copyright GSM Association
Infrastructure
Not too much available….
Copyright GSM Association
Example: Celtel Nigeria
Power
• 80mm liters of diesel
•14000 tanker truck loads
•Thousands of generators most operating 7/24
Security
•7 battalions (5,000 guards)
•Most in service 7/24
•Job creation+, P&L-
Power and Security: over 75% of site maintenance costs
Keeping the network running is a challenge in itself…
Nigerian industry will consume 400 mm liters in 2007
NCC: 10k BTS today. 2010, 50k BTS…2,000 mm litres of diesel
Copyright GSM Association
Rural v Urban Economics
• Urban Site– Costs
• Power Grid?• Local Transmission to
switch• Easy to reach for site
engineers
– Revenue• Mostly outgoing calls
– Uneconomic if interconnect is high
• High site utilisation• Distribution relatively
easy
• Rural Site– Costs
• High Fuel Cost• High Transmission Cost
– Especially on satellite• Costly to maintain
– Revenue• Mostly incoming calls
– Uneconomic if interconnect is low
• Low site utilisation• Distribution is difficult
Copyright GSM Association
Example: Safaricom Kenya
-
50,000
100,000
150,000
200,000
250,000
300,000
City
Mic
roce
ll
Mun
icip
ality
Roa
d
Rur
al
Tow
nC
ounc
il
Cos
t per
site
($)
City Microcell Municipality Road Rural Tow n Council
CapEx
7
28
9
36
25
12
0
5
10
15
20
25
30
35
40
City
City
Micr
ocell
Munic
ipality Ro
ad
Rura
l
Town
Coun
cil
Payb
ack i
n Mon
ths
City City Microcell Municipality Road Rural Town Council
Payback period
Copyright GSM Association
Example: Safaricom Kenya
Covered Population
Urban40%
Rural60%
Traffic/Revenues
Urban76%
Rural24%
– 60% of total national population covered is rural60% of total national population covered is rural– 24% of total traffic (hence revenue) originates from rural areas24% of total traffic (hence revenue) originates from rural areas
Copyright GSM Association
Kenya: Impact of Mobile
• The mobile industry delivered more than 5% of Kenya’s GDP in 2006 and employed close to 200,000 people
Tel
edes
nity
per
100
pop
Mob
ile
GD
P co
ntri
buti
on
02468
101214161820
2003 2004 2005 2006
0%
1%
2%
3%
4%
5%
6%
Mobile Penetration Fixed Penetration % Mobile GDP Contribution
Source: Deloitte analysis, CCK, ITU, Wireless intelligence
Copyright GSM Association
Population V Geography
• The old question: – How do we get
communications across Africa?
• The fact is: – 60+% population coverage
today, around 90% by 2010
• The new question: – How can government and
industry partner to connect the unconnected?
0%
20%
40%
60%
80%
100%
Po
pu
lati
on
Co
ve
rag
e
0% 20% 40% 60% 80% 100%
Geographic Coverage
• 350 million sub-Saharan Africans already have mobile access but are not connected…
Copyright GSM Association
Consumer TaxesConsumer Taxes
• East African consumers pay the highest taxes
0%5%
10%15%20%25%30%35%
VAT on services Other taxes on services (including excise tax on usage)
Note: Rwanda has yet to impose a 10% excise duty
1
Copyright GSM Association
Key FindingsKey Findings
• In 2006, the mobile industry generated 3.5% - 5% of East Africa’s GDP– Around 500,000 people were in employed
• Lowering excise duty will:– Increase penetration and usage of mobile services by
4% - 8% above base line growth– Increase total tax receipts in Kenya, Tanzania and
Uganda in the medium term• In Rwanda, tax receipts will decrease if excise duty is levied
– Accelerate economic growth• Increasing penetration by 10% can boost annual GDP by 1.2%
2
3
Copyright GSM Association
Universal Service Funds?
-
1,000
2,000
3,000
4,000
5,000
6,000
7,000
US
$ M
illio
ns
Collected Disbursed
Mobile34%
Fixed34%
Fixed95%
Mobile5%
The unused US$4.5 billion could provide access to 450
million people in rural areas
1996
SSA Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
40
% A
nn
ual
Ch
ang
e
Africa Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
35
40
45
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
% A
nn
ual
Ch
ang
e
1997
SSA Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
40
% A
nn
ual
Ch
ang
e
Africa Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
35
40
45
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
% A
nn
ual
Ch
ang
e
1998
SSA Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
40
% A
nn
ual
Ch
ang
e
Africa Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
35
40
45
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
% A
nn
ual
Ch
ang
e
1999
SSA Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
40
% A
nn
ual
Ch
ang
e
Africa Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
35
40
45
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
% A
nn
ual
Ch
ang
e
2000
SSA Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
40
% A
nn
ual
Ch
ang
e
Africa Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
35
40
45
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
% A
nn
ual
Ch
ang
e
2001
SSA Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
40
% A
nn
ual
Ch
ang
e
Africa Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
35
40
45
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
% A
nn
ual
Ch
ang
e
2002
SSA Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
40
% A
nn
ual
Ch
ang
e
Africa Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
35
40
45
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
% A
nn
ual
Ch
ang
e
2003
SSA Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
40
% A
nn
ual
Ch
ang
e
Africa Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
35
40
45
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
% A
nn
ual
Ch
ang
e
2004
SSA Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
40
% A
nn
ual
Ch
ang
e
Africa Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
35
40
45
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
% A
nn
ual
Ch
ang
e
2005
SSA Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
40
% A
nn
ual
Ch
ang
e
Africa Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
35
40
45
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
% A
nn
ual
Ch
ang
e
2006
SSA Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
40
% A
nn
ual
Ch
ang
e
Africa Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
35
40
45
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
% A
nn
ual
Ch
ang
e
Sierra LeoneBenin
Zimbabwe
Central African Republic
Attempts to reassert monopoly 2007
SSA Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
40
% A
nn
ual
Ch
ang
e
Africa Intl Voice Traffic, 1995 - 2011
-
5
10
15
20
25
30
35
40
45
Min
ute
s (B
illio
n)
-
5
10
15
20
25
30
35
% A
nn
ual
Ch
ang
e
Source: Balancing Act Voice and Data Bandwidth Forecasts 2006 – 2011
www.balancingact-africa.com/subforecasts.html
The Status of International Gateway Liberalisation, Sub-The Status of International Gateway Liberalisation, Sub-Saharan AfricaSaharan Africa
Copyright GSM Association
Key FindingsKey Findings
• Following liberalisation:– International call prices fall by up to 90%– Traffic volumes double as innovative pricing plans are
offered– Access improves with increased telecoms investment
• Where monopolies are maintained, up to 60% of international traffic can be lost to the grey market (VoIP and VSATs)
Download the study on www.gsmworld.com/gateway
Copyright GSM Association
Example: KenyaExample: Kenya
Copyright GSM Association
Thank You
Contact : Gabriel Solomon
Job title : Senior Vice President, Public Policy
email: [email protected]