Analysys Mason Broadcasting and Mobile Towers Jan12
description
Transcript of Analysys Mason Broadcasting and Mobile Towers Jan12
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Broadcasting and mobile towers: key factors
affecting investment opportunities
Analysys Mason webinar – 26 January 2012
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Marco Cordoni
Partner
Tower market demand and supply
Introducing our presenters
2
Terry Norman
Principal Analyst
Facts and figures on traffic and costs
Lluís Borrell
Partner
Broadcasting tower opportunities
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3
Marco Cordoni: Tower market demand and supply
Terry Norman: Facts and figures on traffic and costs
Lluís Borrell: Broadcasting tower opportunities
Briefing agenda
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Contents
4
Marco Cordoni: Tower market demand and supply
Drivers of demand for sites
Supply of towers
Tenancy ratio for tower companies
Pricing considerations for tower companies
Cost considerations for tower companies
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Driver Emerging markets Developed markets
Relevance Effect Relevance Effect
Commercial Coverage
Capacity for voice traffic
Capacity for data traffic
Market
structure
Fixed wireless entrants
Mobile data entrants
Technical 3G roll-out WiMAX/LTE roll-out / /
Multi-technology/band equipment Availability of rooftops
Regulatory Rural broadband targets
The demand for towers is driven by a variety of factors, some of which vary by market maturity
5 Market demand for towers
Medium-High Nil Low Medium High Key: Positive impact Neutral impact Negative impact
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Regulators are reserving spectrum for new
entrants to build competition in mobile broadband
Belgium: 2100MHz reserved for new entrants in
the 2011 3G auction (Tecteo Telenet). 2600MHz
could be reserved for new entrants in the 2011
4G auction
France: fourth 3G licence issued in 2009 (Free)
Netherlands: 2012 auction reserves a 10MHz
block at 800MHz for each of two new entrants
Sweden: spectrum caps on existing operators in
2.6GHz auction as a way to attract new entrants
in 2008 (Intel Capital Corporation)
New data players are emerging and are likely to stimulate tower demand
6 Drivers of demand for sites • Market structure
Spectrum auction rules may attract new entrants
that are likely to require towers
Developed markets
(mobile data as complement to fixed)
Emerging markets
(fixed wireless data substitution effect)
Poor fixed-line infrastructure encourages
the entry of fixed wireless operators
WiMAX/LTE: numerous operators are launching
fixed-wireless services in the bigger cities of
African countries (e.g. Nigeria, Tanzania and
Uganda), in India and in many Latin American
countries
An increase in tower demand, initially in urban
areas, is likely as new operators focus on
urban deployments
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The spectrum bands used for 3G and 4G sites have different impacts on demand for towers
7 Drivers of demand for sites • Technology
Good propagation
characteristics means
there is limited demand
for new towers (colocation
on existing ones)
4G (WiMAX/LTE)
Developed markets Developed/emerging markets
800MHz 2600MHz (or higher) 2100MHz
Emerging markets
3G (HSPA)
Most European countries
have undergone digital
switchover and released
digital dividend spectrum
Some European countries are not
switching off analogue TV until
2015 (e.g. Poland); LTE is likely to
be launched in 2600MHz
Operators in emerging markets
(e.g. Africa) are also launching
WiMAX in this or higher bands
Only a small part of 3G/4G base station coverage expansion
translates into incremental demand for towers.
However, with 3G/4G sites having smaller radii than 2G sites,
there will be need for 3G/4G-only in-fill sites
Operators are still
rolling out 3G networks
in emerging markets
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New RAN equipment and antenna systems could erode the demand for towers
8 Drivers of demand for sites • Technology
Mu
ltip
le
ca
bin
ets
Vendors have developed antennas that can run multiple services and
bands (e.g. tri-band 2.2GHz 3G and
900/1800MHz 2G and dual band 2G 900/1800MHz), allowing
different technologies to run on the same antenna and feeder systems
Sin
gle
ca
bin
et
Common antenna,
separate feeders
Common antenna
and feeder Separate antenna
and feeders
New RAN equipment has also
been developed, with the ability to
run multiple technologies (2G, 3G
and LTE) in one cabinet
Legacy
New
Operators may not require additional tower space to deploy new networks
Dual band: GSM 900MHz + 1800MHz
Legacy New
Multi-technology RAN equipment: 2G and 3G
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Broadband targets could raise demand for rural towers in developed markets
9 Drivers of demand for sites • Regulation
National broadband targets
to provide basic broadband
services to all citizens
Digital
divide
Governments
impose rural
coverage
obligations
Demand for
towers in
rural areas
High cost of
rural fixed
broadband
Wireless rural
broadband
services
2020 European Commission
broadband target: broadband
for all EU citizens by 2013
France: 800MHz licensees must cover 99.6% within 15 years
Germany: 800MHz licensees must roll out to rural areas first
Sweden: one 800MHz licence must provide at least 1Mbit/s to a
list of (rural) addresses
UK: following the 2012 auction, one 800MHz licensee must cover
95% of the population
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Contents
10
Marco Cordoni: Tower market demand and supply
Drivers of demand for sites
Supply of towers
Tenancy ratio for tower companies
Pricing considerations for tower companies
Cost considerations for tower companies
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11 Supply of towers
Besides self-build, towers can be shared between MNOs or sourced from tower companies
Region Sharing between operators (JV) Outsourcing to tower companies
Examples Degree Examples Degree
North
America
Not prevalent Prevalent ownership of tower assets by
independent tower companies
Europe Telefónica O2 and Vodafone
in Germany, Ireland, Spain
and the UK
The tower company model, although
important, is not as prevalent as in the USA
Latin
America
Ecuador Independent tower companies in Brazil and
Mexico
Middle
East
Multiple deals in Kuwait,
Qatar and UAE
Not prevalent
Africa Agreements in Kenya,
Morocco and South Africa
Increasingly dominant in Nigeria, Tanzania,
Ghana and South Africa
Asia &
Pacific
Three mobile operators in
China share cell-site
facilities
Strong in Australia, India and Indonesia.
Bangladesh, Bhutan, Nepal and Pakistan are
following India’s independent TowerCo model
Medium-High Nil Low Medium High Key:
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Several factors affect operators’ propensity to share/outsource sites, and may vary by market
12 Supply of towers
Medium-High Nil Low Medium High Key: Positive impact Neutral impact Negative impact
Driver Developed markets Emerging markets
Relevance Effect Relevance Effect
Co
mm
erc
ial
Cost reduction
Raise cash
Focus on core services
Roll-out speed
Coverage differentiation
Regula
tory
Tower build restrictions
Mandated/encouraged site-sharing
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An MNO renting 75% of its sites from tower companies can reduce its Year 1 costs by 60%
13 Supply of towers • Commercial
Renting sites reduces
build capex
After five years, MNOs can
experience up to 20% opex
deficit compared to
self-owned sites
The value of
tower companies to MNOs
is sensitive to the break-even
point that depends on the
relative capex and opex
Assumes an MNO rolling out 10 000 sites
in a developed country
Source: Analysys Mason’s research division
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MNOs are spinning off towers to raise cash and focus on key services
14
Source: Tower company websites, operator websites,
news articles and press releases
Supply of towers • Commercial
Operator Country Acquirer Rationale to spin off towers
Optus Australia CCI Focus on customer service
Zain Africa Bharti Pay off some of the debt taken on following M&A
Tigo Ghana Helios Improve capital and operating efficiency; focus on core activities
MTN Ghana ATC Reduce costs (network roll-out and passive infrastructure)
Cell C SA ATC Generate cash and enhance quality and network coverage
Sprint USA TowerCo Focus on core services
T-Mobile USA Planned Finance roll-out of an LTE network
Expensive external debt financing
(e.g. high leverage following earlier
investments/M&A activity)
Difficulty creating value from services
Operator problem Rationale to spin off tower assets
Release cash for re-investment
in new technologies or coverage
Focus on core services
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Tower build restrictions may force operators to seek alternatives for colocation
15 Supply of towers • Regulatory
France: Paris town hall prevents operators
from building new sites
UK: towers require planning commission
approval
USA: local community zoning approval
required; often restrictions put into place
Ghana: no build permit unless the closest
tower is >400m away
Kenya: new tower only allowed if equipment
cannot be accommodated on an existing
tower
Nigeria: towers above 30m height require
approval
Emerging markets Developed markets
Build restrictions imposed by national or local authorities
affect the ability to build towers
Restrictions on building towers increases operators’ willingness to share tower space with
competitors:
‒ this is especially relevant in cases where restrictions are so prohibitive that they impact the
operators’ ability to build towers altogether
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Regulation surrounding site-sharing can encourage or force operators to co-locate
16 Supply of towers • Regulatory
New Zealand: mobile site-sharing is
mandatory upon request by an MNO
Ecuador: mandated site-sharing
China: mobile operators are required to
share cell-sites
Jordan: operators required to provide
infrastructure sharing/colocation
Emerging markets Developed markets
Regulators around the world are implementing regulation
that encourages or mandates site-sharing between operators
Man
date
d
En
co
ura
ged
EU: site-sharing encouraged through the
EU Framework Agreement
India: guidelines promoting infrastructure
sharing
Bangladesh: infrastructure sharing
guidelines to maximise use and avoid
network duplication
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Complexities of negotiating with competitors encourage the use of TowerCo services
17 Supply of towers
Driver Effect on
use of tower
companies
Rationale
Negotiation
complexities
w/competitors
Factors such as level of sharing and structure of JV/site swap
complicate the operator site-sharing model.
JV/site swaps tend to be more adversarial in terms of
negotiation, potentially at greater risk of failure
Contractual
agreement
Tower company contracts provide cost certainty, allowing
operators to forecast costs more accurately. They imply lower
capex but higher opex than site-sharing JV/site-swap between
operators
Time to market
MNOs are able to offer services sooner which is particularly
relevant for new entrants. It also allows them to meet
regulatory coverage requirements faster
Asset
ownership A site-sharing JV provides operators with greater control of
their assets
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FDI restrictions concerning towers could, in some cases, reduce investment opportunities
18 Supply of towers
Source: Press releases
Indonesia
Country FDI restrictions
India
As of 2009, 100% FDI is permitted in telecom
infrastructure companies, subject to the Indian Foreign
Investment Promotion approval
Ghana
As of March 2011, the Ministry of Communications
issued a new directive under which Ghanaians must own
at least 30% of companies providing infrastructure
services for telecoms operators
As of 2008, foreign investment in companies owning and
developing telecoms towers is banned and ownership
must be 100% Indonesian
Foreign companies that already built towers had two
years (as of 2008) to comply with the 2008 regulations
Decre
asin
g l
evel
of
investm
en
t
restr
icti
on
s i
n t
ele
co
ms i
nfr
astr
uctu
re
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Contents
19
Marco Cordoni: Tower market demand and supply
Drivers of demand for sites
Supply of towers
Tenancy ratio for tower companies
Pricing considerations for tower companies
Cost considerations for tower companies
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0.00
0.50
1.00
1.50
2.00
2.50
3.00
Am
erica
n T
ow
ers
- F
Y 0
9
Am
erica
n T
ow
ers
- F
Y 0
8
GT
LI -
FY
10
Cro
wn C
ast
le -
Gro
up
- F
Y 1
0
Cro
wn
Ca
stle
- G
roup
- F
Y 0
9
Am
erica
n T
ow
ers
- F
Y 1
0
Bha
rti A
irte
l - I
nd
ia -
FY
09
East
Euro
pe T
ow
erC
o S
EP
11
Afr
ican T
ow
erC
o 1
FY
10
Cro
wn
Ca
stle
- G
roup
- F
Y 0
8
Afr
ican T
ow
erC
o 2
FY
10
200820092010
2008
2009
2010
0%
10%
20%
30%
40%
50%
60%
70%
0.5 1.0 1.5 2.0 2.5 3.0 3.5
EB
ITD
A m
arg
in (
%)
Tenancy ratio
Tenancy ratios are a key value driver for a tower company
20
Benchmark of tenancy ratio vs.
EBITDA margin
Benchmark of tower companies’
tenancy ratios
Tenancy ratio for tower companies
Lower incremental cost vs. price for additional tenancies results in
an increasing EBITDA margin with tenancy ratio
FY12
African
TowerCo 2
East Europe
TowerCo
ATC
African
TowerCo 1
Crown Castle
Developed markets Emerging markets
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Operators with lower coverage are more likely to use tower companies, increasing tenancy ratios
21 Tenancy ratio for tower companies
Shortest distance between Operator 1
sites in Africa (km) Shortest distance between Operator 2
sites in Africa (km)
7%
32%
13%
6%3% 3% 2% 3% 3% 2%
4% 4% 4%2% 3%
6%
2% 1% 0%
0%
5%
10%
15%
20%
25%
30%
35%
<0.4
0.4
-1
1-1
.5
1.5
-2
2-2
.5
2.5
-3
3-3
.5
3.5
-4
4.-
4.5
4.5
-5
5-6
6-7
7-8
8-9
9-1
0
10
-15
15
-20
20
-25
>25
% o
f M
TN
sites
0%
18%18%
11%
4%2% 2% 2% 1% 2% 2%
4% 5%3% 3%
8%
5%3% 4%
0%
5%
10%
15%
20%
25%
30%
35%
<0.4
0.4
-1
1-1
.5
1.5
-2
2-2
.5
2.5
-3
3-3
.5
3.5
-4
4.-
4.5
4.5
-5
5-6
6-7
7-8
8-9
9-1
0
10
-15
15
-20
20
-25
>25
% o
f T
igo s
ites
58% of sites located
within 2km 47% of sites located
within 2km
Shortest distance between Operator 4
sites in Africa (km)
Shortest distance between Operator 3
sites in Africa (km)
1%
6%
17%
11%
4%3% 2% 3% 2% 3% 3% 4% 4% 4% 4%
12%
6% 5%3%
0%
5%
10%
15%
20%
25%
30%
35%
<0.4
0.4
-1
1-1
.5
1.5
-2
2-2
.5
2.5
-3
3-3
.5
3.5
-4
4.-
4.5
4.5
-5
5-6
6-7
7-8
8-9
9-1
0
10
-15
15
-20
20
-25
>25
% o
f V
odafo
ne s
ites
0%
10%
17%
7% 8% 9%
1% 1% 1% 1%3% 3% 3% 2% 2%
11%9%
6% 6%
0%
5%
10%
15%
20%
25%
30%
35%
<0.4
0.4
-1
1-1
.5
1.5
-2
2-2
.5
2.5
-3
3-3
.5
3.5
-4
4.-
4.5
4.5
-5
5-6
6-7
7-8
8-9
9-1
0
10
-15
15
-20
20
-25
>25
% o
f A
irte
l sites
35% of sites located
within 2km 34% of sites located
within 2km
Relatively low coverage
Relatively high coverage
% o
f s
ite
s
% o
f sit
es
% o
f s
ite
s
% o
f s
ite
s
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The attractiveness of the sites in a tower company’s portfolio is a key factor in tenancy ratios
22 Tenancy ratio for tower companies
Tower company vs. Operator 4 sites
in main city in Africa
Tower company vs. Operator 2 sites
in main city in Africa
2%
12%
18%
16%
12%
16%
14%
8%
4%
0% 0% 0% 0% 0% 0% 0% 0% 0% 0%0%
4%
8%
12%
16%
20%
<100
10
0-2
00
20
0-3
00
30
0-4
00
40
0-5
00
50
0-6
00
60
0-7
00
70
0-8
00
80
0-9
00
90
0-1
k
1k-1
.5k
1.5
k-2
k
2k-2
.5k
2.5
k-3
k
3k-3
.5k
3.5
k-4
k
4k-4
.5k
4.5
k-5
k
>5k
% o
f V
odafo
ne s
ites
Distance from tower company’s sites to the nearest
Operator 2 sites in main city in Africa (km)
Distance from tower company’s sites to nearest
Operator 4 sites in main city in Africa (km)
2%
10%10%
12%
10%
14%
12%
10%
8%
4%
10%
0% 0% 0% 0% 0% 0% 0% 0%0%
4%
8%
12%
16%
20%
<100
10
0-2
00
20
0-3
00
30
0-4
00
40
0-5
00
50
0-6
00
60
0-7
00
70
0-8
00
80
0-9
00
90
0-1
k
1k-1
.5k
1.5
k-2
k
2k-2
.5k
2.5
k-3
k
3k-3
.5k
3.5
k-4
k
4k-4
.5k
4.5
k-5
k
>5k
% o
f V
odafo
ne s
ites
34% within
400m
48% within
400m
TowerCo
Operator 2
TowerCo
Operator 4
% o
f sites
% o
f sites
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Estimating site demand requires complex modelling
23
Source: Analysys Mason
Tenancy ratio for tower companies
2G spectrum allocations
2G site capacity by
operator
2G capacity sites required by settlement and operator
3G capacity sites required by settlement and operator
3G site capacity by
operator
3G spectrum allocations
2G usage by geotype and
operator
2G usage by settlement and
operator
3G usage by settlement and
operator
3G usage by geotype and
operator
2G subscribers by settlement and
operator
3G subscribers by settlement and
operator
Subscribers by settlement and
operator
Penetration by geotype
Population by settlement
Market share by operator
Cell radius by technology
and frequency band
Estimated radius by
settlement
Sites required by settlement
for blanket coverage
Total capacity sites required by settlement and operator
Maximum of capacity and
coverage sites
Annual tower market share by settlement
Allocate co-lo tenants by
tower market shares
Existing towers by
operator and settlement
Own sites available by settlement
Split B2S sites according to tower market
shares
Calculated for each year from 2011 to 2020
Calculated once only, then phased by year
Annual rollout prioritised by
un-served population
Calculate tenancy ratios per settlement
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Contents
24
Marco Cordoni: Tower market demand and supply
Drivers of demand for sites
Supply of towers
Tenancy ratio for tower companies
Pricing considerations for tower companies
Cost considerations for tower companies
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Rental fees typically follow price escalation mechanisms outlined in binding contracts
25 Pricing considerations for tower companies
Tower companies
Eastern
Europe
African
1
African
2
Inflation
Exchange rate
Fuel cost
ARPU
…with escalation mechanisms in place as
per the colocation contracts
Rental fees for anchor tenants
vary between markets…
Developed markets Emerging markets
0
5
10
15
20
25
30
35
40
Afr
ica
n T
ow
erC
o 1
Afr
ica
n T
ow
erC
o 2
SB
A
AT
CC
BW KE
Ea
st E
uro
pe
To
we
rCo
20
15
Ea
st E
uro
pe
To
we
rCo
20
11 IT
Ea
st E
uro
pe
To
we
rCo
20
15
dis
cou
nt
Ea
st E
uro
pe
To
we
rCo
20
11
dis
cou
nt
MG
GT
L
Afr
ica
n T
ow
erC
o 3
US
D p
er
yea
r (t
ho
usa
nd
s)
Source: Analysys Mason, operator reports
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Additional tenants often pay lower prices than anchor tenants due to building costs
26
Benchmarks for discounts for additional tenants
Pricing considerations for tower companies
8%
7%6%
5%
3%
8%
15%
7% 7%
13% 13%
11%
0%
2%
4%
6%
8%
10%
12%
14%
16%
Ope
rato
r A
Ope
rato
r B
Ope
rato
r C
Ope
rato
r D
Ope
rato
r E
Ope
rato
r F
Ope
rato
r G
Ope
rato
r H
Dis
cou
nt
Discount for 2nd operator Discount for 3rd operator
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3G/4G colocation may result in a small revenue upside but typically no increase in tenancies
27 Pricing considerations for tower companies
Examples Pricing structure Effect on
revenues
East European
tower company One base fee accommodates six antennas for both 2G and 3G
technologies for ~USD1550 per month
African tower
company 1 One base fee accommodates three antennas only for 2G
technology for ~USD2800 per month
Additional ~USD800 per month to accommodate three
additional antennas for both 2G and 3G technologies
African tower
company 2
Anchor tenant base fee accommodates three antennas for
~USD3000 per month and right to install additional equipment
at no extra charge
Indian tower
company
Base fee accommodates 2G technology for ~USD650 per
month
Additional ~USD110 per month for an overlay 3G BTS
3G operators are not likely to pay standard monthly rentals for an overlay 3G network
therefore incremental revenues from new technologies are likely to be small
21454-482
Contents
Marco Cordoni: Tower market demand and supply
Drivers of demand for sites
Supply of towers
Tenancy ratio for tower companies
Pricing considerations for tower companies
Cost considerations for tower companies
21454-482
18%
82%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1
Operations & Maintenance Insurance & Others
14%
57%
29%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1
Insurance and Other
Operation and maintenance
Fuel & Electricty
58%
41%
1%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1
Insurance & Other
Operation & Maintenance
Fuel & Electricity
Tower companies’ cost structures vary significantly across markets
29 Cost considerations for tower companies
African TowerCo 1 African TowerCo 2 East European TowerCo
In some emerging markets, fuel is a key cost component as towers are either not connected
to a power grid or the power grid is unreliable, requiring diesel generators
Direct cost breakdown of tower companies
Fuel
Operations and maintenance
Other expenses
Fuel & electricity
Operations and Maintenance
Other expenses
Operations and Maintenance
Other expenses
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0
2,000
4,000
6,000
8,000
10,000
12,000
AfricanTowerCo 1 -
outdoor tenant
AfricanTowerCo 1 -indoor tenant
AfricanTowerCo 2
US
D
Tower companies incur significant capex for new towers but minimal capex for new tenants
30
…additional colocation capex could reach
~USD10 000 per new tenant
Build capex lies between USD150 000 and
USD173 000 per tower …
Cost considerations for tower companies
Indoor
Outdoor
173 167 166 161
155 152 150
0
20
40
60
80
100
120
140
160
180
200
US
D (
tho
usa
nd
s)
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The valuation of each tower varies significantly across markets
31 Cost considerations for tower companies
193
170
102 107
74
98
113
153
134
197
131
229
103
0
50
100
150
200
250
700 5000 1660 17 500 750 4500 2535 ~50 000 3200 407 1020 1876 729
Dec-08 May-09 Jan-10 Feb-10 Mar-10 Sep-10 2000 Nov-10 Dec-10
No. towers
under
transaction
Va
lua
tion p
er
To
we
r
(US
D ‘00
0)
Average USD139 000
per tower
Ind
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er
Tig
o D
RC
He
lio
s
Op
tus A
ustr
ali
a
Cro
wn
Ca
stl
e In
tern
ati
on
al
WT
TIL
In
dia
Qu
ipp
o
21454-482
32
Marco Cordoni: Tower market demand and supply
Terry Norman: Facts and figures on traffic and costs
Lluís Borrell: Broadcasting tower opportunities
Briefing agenda
21454-482
Contents
33
Terry Norman: Facts and figures on traffic and costs
The commercial context for network sharing and tower
companies
The cost to support traffic growth
Cost savings through network sharing
Analysys Mason Research
21454-482
Globally, connection numbers and the traffic per connection are increasing Traffic is expected to increase to
892MB per connection per month in
developed markets (CAGR 31%) …
… and to 301MB per month in
emerging markets (CAGR 28%)
Connections worldwide will grow
from 5 billion to 7 billion (CAGR 7%)
Penetration has almost reached
saturation in developed markets
In emerging markets, the number of
connections is expected to grow
substantially
34 The commercial context for network sharing and tower companies
Average wireless network traffic
per connection worldwide
Average number of wireless
network connections worldwide
-100
100
300
500
700
900
2011 2012 2013 2014 2015 2016
Tra
ffic
(M
B p
er
month
)
World Developed markets Emerging markets
0
1
2
3
4
5
6
7
8
2011 2012 2013 2014 2015 2016
Connect
ions
(bill
ion)
World Developed markets Emerging markets
Source: Analysys Mason, 2011
21454-482
Traffic is growing at 42% per annum, but data revenue per GB is falling at 18% per annum We expect mobile traffic to grow
from 570PB to 3243PB per month
by 2016 (CAGR 42%)
Revenue is falling at 18% per
annum
Assuming operators continue using
the flat-rate pricing model, we
predict revenue of less than USD4
per GB by 2016 in both developed
and emerging markets
The degree to which tiered pricing is
adopted in the future will affect this
forecast
35 The commercial context for network sharing and tower companies
Traffic from mobile connections worldwide
Revenue per GB of mobile
broadband traffic worldwide
0
500
1000
1500
2000
2500
3000
3500
2011 2012 2013 2014 2015 2016
Tra
ffic
(P
B p
er
month
)
World Developed markets Emerging markets
0
2
4
6
8
10
12
14
2011 2012 2013 2014 2015 2016
Reve
nue p
er
gig
abyt
e
(US
D)
World Developed markets Emerging markets
Source: Analysys Mason, 2011
21454-482
Contents
36
Terry Norman: Facts and figures on traffic and costs
The commercial context for network sharing and tower
companies
The cost to support traffic growth
Cost savings through network sharing
Analysys Mason Research
21454-482
0
10
20
30
40
50
2011 2012 2013 2014 2015 2016
Bill
ions
(US
D)
How much will it cost to build the networks to deliver 42% traffic growth?
37
If operators service demand by
simply building more sites the cost
will grow dramatically
Within five years, their RAN
expenditure will be eight times what
it is today
Alternatively, operators could deploy
network cost reduction strategies
A realistic increase in network spend
can only be achieved if operators cut
their network carriage costs by
around 50%
The cost to support traffic growth
LTE (data) UMTS (data)
Forecast RAN capex spend for
Western European operator*
Forecast RAN capex spend for Western
European operator with 50% cost reduction*
0
2
4
6
8
10
12
2011 2012 2013 2014 2015 2016
Bill
ions
(U
SD
)
*GSM, UMTS (R '99 and HSPA), MIMO, Dual Carrier, LTE
Source: Analysys Mason, 2011
21454-482
Key requirements: upgrade to HSPA+, acquire spectrum, deploy LTE and reduce costs
Operators will employ a mix of the following to reduce costs:
upgrade existing HSPA base stations to HSPA+ as required
buy spectrum as it becomes available; deploy 800MHz and 900MHz
deploy LTE (mass-market deployment from 2013)
employ self-optimising networks
maximise use of network capacity management and optimisation
techniques
deploy small cell solutions (active network offloading) – enhanced capacity,
25–30% savings per site vs. building new sites
offload as much traffic as possible onto indoor (fixed broadband) network
share networks: 20–30% cost savings with passive sharing
38 The cost to support traffic growth
21454-482
Contents
39
Terry Norman: Facts and figures on traffic and costs
The commercial context for network sharing and tower
companies
The cost to support traffic growth
Cost savings through network sharing
Analysys Mason Research
21454-482
Network or infrastructure sharing comes in many different forms …
40 Cost savings through network sharing
Increased cost savings (and risk)
Increased network sharing
Spectrum sharing
Joint planning
Shared sites
Shared spectrum
Network sharing
Separate core network
Active network sharing
Joint planning
Shared sites
Separate spectrum
Network sharing
Separate core network
Site share + joint roll-out
Joint planning
Shared sites
Separate spectrum
Separate base stations
Separate core network
Passive (site)
sharing
Separate planning
Shared sites
Separate spectrum
Separate base stations
Separate core network
Deeper (core)
sharing
Joint planning
Shared sites
Shared spectrum
Network sharing
Shared core network
No sharing
Separate planning
Separate sites
Separate spectrum
Separate base stations
Separate core network
21454-482
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
Land rent
H/W
/ S/W
annual support
Electricity/D
iesel
MW
backhaul annual costs
RF
engineering support costs
Pow
er maintenance
Maintenance m
anpower
Spares
Managem
ent (G&
A)
Insurance
Security
Other expenses (fees)
Transportation
… and offers considerable cost-saving opportunities
41 Cost savings through network sharing
Typical opex costs per site Typical capex costs per site
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
Bu
ildin
g, rig
gin
g, a
nd
ma
teria
ls
Po
we
r
No
de
B/B
TS
Ne
two
rk testin
g
Site
acq
uisitio
n a
nd
desig
n
Micro
wave
backh
aul
Sp
are
s
Ro
ute
r pricin
g
Emerging Developed
Source: Analysys Mason, 2011
21454-482
As an example, we examine potential savings under two RAN-sharing scenarios
We consider the costs and benefits over five years of two different types of
RAN sharing
Scenario A is a joint-venture: a new build, with roll-out of an LTE network. A
total of 2500 sites are deployed, evenly spread over five years
Scenario B is a consolidation of two mature networks in an emerging
market – for example, two GSM networks:
we modelled two cases where the site count is reduced evenly over five
years, by either 1000 or 1500 sites
For both scenarios, we modelled passive sharing only
On each site, the operators share the mast or pole, cabin and utilities, but each
has a separate antenna, eNode B and backhaul
42 Cost savings through network sharing
21454-482
Results show potential savings are substantial in both the joint-venture new build …
43 Cost savings through network sharing
Scenario A: Cumulative capex and opex
savings in a developed market
Scenario A: Cumulative capex and opex
savings in an emerging market
0%
5%
10%
15%
20%
25%
30%
35%
Year 1 Year 2 Year 3 Year 4 Year 5
Pe
rcen
tage
sa
ving
Capex Opex
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
Year 1 Year 2 Year 3 Year 4 Year 5
Pe
rcen
tage
sa
ving
Capex Opex
Source: Analysys Mason, 2010
21454-482
… and for the consolidation of two networks
44 Cost savings through network sharing
Scenario B: Cumulative opex savings
in an emerging market
Scenario B: Ratio of annual opex saving to
capex spend in an emerging market
0%
2%
4%
6%
8%
10%
12%
14%
16%
Year 1 Year 2 Year 3 Year 4 Year 5
An
nu
al p
erc
ee
nta
ge
op
ex
savi
ng
1500 site case 1000 site case
0.0
0.2
0.4
0.6
0.8
1.0
1.2
Year 1 Year 2 Year 3 Year 4 Year 5R
atio
of o
pe
x sa
ving t
o a
nn
ua
l ca
pe
x sp
en
d
1000 sites 1500 sites Break-even line
Source: Analysys Mason, 2010
21454-482
In the UK, Vodafone and O2 have used passive sharing to reduce costs
45 Cost savings through network sharing
Site count and population coverage:
Orange UK
Site count and population coverage:
Vodafone and O2 UK
0
10
20
30
40
50
60
70
80
90
100
0
2000
4000
6000
8000
10000
12000
14000
2007 2010
Perc
enta
ge o
f poula
tion c
ove
rage
Site
count
Vodafone
O2
Percentage population coverage
2007−2010
Vodafone
O2
Site count
0
10
20
30
40
50
60
70
80
90
100
0
2000
4000
6000
8000
10000
12000
14000
2007 2010
Pe
rcen
tage
of
po
ula
tion
co
vera
ge
Site
co
un
t
Orange
percentage population coverage Orange(2007 to 2010)
Source: Analysys Mason, 2011
21454-482
T-Mobile and Three have saved costs and extended coverage through active sharing The extension to coverage has
helped Three move to pole position in carrying data. It claims to carry 70% of the country’s mobile broadband data traffic
Handover and roaming handover have been very challenging to manage
A frequency converter was needed to shift Three’s carrier to within 20MHz of T-Mobile’s to allow MORAN to be implemented
It is rumoured that as many as 4500 T-Mobile sites are awaiting decommissioning
46 Cost savings through network sharing
Site count and population coverage:
Three and T-Mobile
0
20
40
60
80
100
0
2000
4000
6000
8000
10000
12000
14000
2007 2010
Pe
rce
nta
ge
of
po
ula
tion
co
vera
ge
Site
co
un
t3 UK
T-Mobile
percentage population coverage 3 UK(2007 to 2010)
percentage population coverage T-Mobile(2007 to 2010)
Source: Analysys Mason, 2011
21454-482
Other important considerations (drivers)
Cost saving and coverage extension
Mobile Broadband Network Limited (MBNL) in the UK has a unique active
network-sharing agreement because it covers the consolidation of established
sites, as well as the development of new sites. Consolidation is a notoriously
troublesome process
Extending coverage into rural areas
In Spain, Orange and Vodafone have an active network-sharing agreement
that was devised to develop mobile broadband coverage in rural areas
47 Cost savings through network sharing
21454-482
Other important considerations (drivers)
An evolutionary path for obsolete technologies – e.g. CDMA (WiMAX?)
The case of Bell Mobility and TELUS in Canada demonstrates the potential for
established partnerships to deepen, and for sharing to pave the upgrade path
for CDMA operators
A route to market for operators that fail to win a licence
EVN Telecom and Hanoi Telecom (Vietnamobile) in Vietnam demonstrate that
operators can use a sharing arrangement in order jointly to acquire a 3G
licence
Cost-effective LTE roll-out
Net4Mobility in Sweden, which was the first LTE network-sharing agreement to
be announced
48 Cost savings through network sharing
21454-482
Infrastructure sharing brings benefits that encourage support from regulators … Consumer benefits: more widespread mobile services, faster network roll-out,
increased choice of suppliers and lower cost of services
Sharing offers a cost-effective means of delivering mobile broadband services
to rural communities which helps bridge the digital divide
May stimulate competition: e.g. shifting the focus of operators’ differentiation
from coverage towards services, or by enabling new entrants to launch their
services more rapidly
Environmental benefits: decrease in number of cell-sites, which reduces visual
impact and lowers energy consumption if power supplies shared
Pooling spectrum for RAN or backhaul operation is sometimes allowed, to
optimise the use of national spectral resources. However, operators are often
required to use their assigned frequencies as a condition of RAN sharing
49 Cost savings through network sharing
21454-482
… and regulation is increasingly supportive
Passive infrastructure sharing is permitted in many countries worldwide
Active infrastructure sharing is less commonly supported, but is
becoming more widely considered, especially because of its potential
benefits for rural broadband
50 Cost savings through network sharing
21454-482
Examples of passive sharing
51 Cost savings through network sharing
Spain
Poland
United
Kingdom
Ireland
Italy
Germany Belgium
Austria
Czech Rep.
Denmark
Country Date Details
Poland July 2011
Polska Telefonia Cyfrowa (T-Mobile), and PTK Centertel (Orange) formed
50:50 JV NetWorkS! to manage an infrastructure sharing agreement. Around
3500 sites will be dismantled in the next three years
Denmark June 2011 TeliaSonera and Telenor will give each other access to their respective
network towers in areas where they would otherwise have had to build their
own. The two companies will also establish a common infrastructure
company that will operate the joint network
Austria April 2011 T-Mobile and Orange announced a network partnership agreement
concerning the joint use of their existing 3G infrastructure in rural areas
Czech
Republic
February
2011
Telefónica O2 and T-Mobile signed an agreement on sharing 3G networks.
The six-year cooperation covers infrastructure
Belgium October 2009 BASE (KPN Group Belgium) and Mobistar agreed to jointly acquire and build
new sites for their respective mobile networks
Italy August 2009 Vodafone and Telecom Italia Mobile agreed to share passive infrastructure.
The agreement covers existing and future passive network equipment, such
as civil works, electricity poles and pylons and energy systems
Italy July 2009 Telecom Italia Mobile and 3 struck a site sharing deal. This included: poles,
cables, electricity supply and conditioning systems and other civil
infrastructure
Spain,
Germany,
UK,
March 2009 Telefónica O2 and Vodafone, announced that they would share infrastructure
in several European markets in an effort to cut costs and protect profit
margins
Spain January 2008 France Telecom’s Orange and TeliaSonera’s Xfera Moviles (operating under
the Yoigo banner) announced a five year agreement to share their network
infrastructure in Spain
1 This table represents only a selection of examples of passive infrastructure sharing. Omissions
include passive sharing agreements in the Netherlands and Cyprus which have been superseded
by mergers and acquisitions while other deals have been superseded by active and active+
sharing agreements
France
Sweden
Source: Analysys Mason, 2011
21454-482
Examples of active sharing
52 Cost savings through network sharing
Spain
France
United
Kingdom
Sweden
Poland
Country Date Details
Poland July 2011 Polska Telefonia Cyfrowa (T-Mobile), and PTK Centertel (Orange) formed
50:50 JV NetWorkS! to manage a RAN sharing agreement
France October 2010 Agreement between SFR, Orange, and Bouygues Telecom for 3G (HSPA+
at 900 Mhz) active Radio Access Network (RAN) sharing
UK December
2007
T-Mobile and H3G founded a 50:50 JV company, MBNL, to consolidate their
3G networks, with estimated cost savings of around GBP2 billion
UK February
2010
Orange and T-Mobile agreed to spectrum and RAN sharing. 10 000 base
stations to be fitted with Huawei's FlexiRAN architecture
Sweden April 2009 Tele2 and Telenor formed a JV, Net4Mobility, to build shared national LTE
and GSM networks
Spain November
2006
RAN-sharing agreement Orange and Vodafone for towns with populations
below 25 000
Source: Analysys Mason, 2011
21454-482
Even deeper sharing – spectrum sharing
53 Cost savings through network sharing
Spain
France
United
Kingdom
Sweden
Source: Analysys Mason, 2011
Country Date Details Status
Poland July 2011 Polska Telefonia Cyfrowa (T-Mobile), and PTK Centertel
(Orange) formed 50:50 JV NetWorkS! to manage a RAN
sharing agreement
Around 3500 sites
will be dismantled
in the next three
years.
France October
2010
Agreement between SFR, Orange, and Bouygues
Telecom for 3G (HSPA+ at 900 Mhz) active Radio Access
Network (RAN) sharing
Active
UK December
2007
T-Mobile and H3G founded a 50:50 JV company, MBNL,
to consolidate their 3G networks, with estimated cost
savings of around GBP2 billion
Active
UK February
2010
Orange and T-Mobile agreed to spectrum and RAN
sharing. 10,000 base stations to be fitted with Huawei’s
FlexiRAN architecture
Active
Sweden April 2009 Tele2 and Telenor formed a JV, Net4Mobility, to build
shared national LTE and GSM networks
Active
Spain November
2006
RAN-sharing agreement France Telecom and Vodafone
for towns with populations below 25 000
Active
21454-482
Contents
54
Terry Norman: Facts and figures on traffic and costs
The commercial context for network sharing and tower
companies
The cost to support traffic growth
Cost savings through network sharing
Analysys Mason Research
21454-482
We offer a vast portfolio of subscription research programmes
55 Analysys Mason Research
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Analysys Mason’s portfolio of research programmes offers a mixture of qualitative and quantitative market intelligence, to which many
of the world’s leading network operators, vendors, regulators and investors subscribe. Core outputs include:
‒ annual five-year forecasts for all regions globally and at country level for 30 European countries and 28 Asia–Pacific and the
Middle East and Africa countries covering all aspects of services, subscribers and revenue
‒ annual or quarterly data for all regions globally and at country level (as above) that provides historic service, subscriber and
revenue data, ongoing tracking of market share and leading offers for key services
21454-482
Related publications from Analysys Mason
Recent publications
Wireless network traffic worldwide: forecasts and analysis 2011–2016
Spectrum: valuing that which has no intrinsic value
Fixed Internet traffic worldwide: forecasts and analysis 2011–2016
Forthcoming publications
The case for Wi-Fi offload
The changing shape of the radio access network and the impact of
small cell solutions
Site sharing is becoming increasingly important to MNOs in the Middle
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56 Analysys Mason Research
21454-482
57
Marco Cordoni: Tower market demand and supply
Terry Norman: Facts and figures on traffic and costs
Lluís Borrell: Broadcasting tower opportunities
Briefing agenda
21454-482
Contents
58
Lluís Borrell: Broadcasting tower opportunities
Why?
Initial considerations
Trends and challenges – impact on investment case
Future opportunities
21454-482
Broadcasting tower investments have gained momentum over the last 12 months
59 Why?
M&A momentum – Four transactions worth in total over EUR1.1 billion Date: December 2010
Target: CRA
Buyer: Macquarie
Seller: Falcon (Mid Europa)
Deal value: around EUR574 million (source: The Australian)
Czech
Republic
Date: October 2011
Target: Axion (regional player)
Buyer: Antin Infrastructure Partners
Seller: TDF
Deal value: around EUR115 million (source: InfraNews)
Spain
Date: March 2011
Target: Emitel
Buyer: Montagu
Seller: Telekom Polska
Deal value: around EUR432 million (source: unquote.com)
Poland
Date: June 2011
Target: Alticom
Buyer: Infracapital
Seller: TDF
Deal value: around EUR100 million from TDF (source: Telecompaper)
Netherlands
21454-482
Contents
60
Lluís Borrell: Broadcasting tower opportunities
Why?
Initial considerations
Trends and challenges – impact on investment case
Future opportunities
21454-482
Broadcasting towers in Europe – some initial considerations
Different service mix
Greater readiness to outsource the transmission network
Stronger importance of regulation
Initial considerations • European broadcasting towers 61
Broadcasting tower companies in Europe are different from typical
tower companies such as American Towers
21454-482
Terrestrial remains the most important TV distribution platform in the EU …
62
Terrestrial remains the most
important TV distribution platform
in the EU:
e.g. more than 33% of
households
In some countries, terrestrial is a
second platform and enjoys a
good position:
e.g. Finland
In some countries, terrestrial
plays a limited role, well behind
cable and satellite
Initial considerations • European broadcasting towers
HHs terrestrial position
in selected EU countries (2009/2010)
Main distribution platform
Second distribution platform
Third and fourth distribution platform Source: Ofcom, EAO, national regulators
21454-482
… DTT/DSO has been a major driver of change in Europe and will continue to be so until 2015
DTT/DSO has had a significant
effect on the structure of the TV
market
More than 13 countries have
already successfully completed
the analogue switch-off
In the majority of EU countries,
the transition is in progress and
is expected to be completed by
2013
63 Initial considerations • European broadcasting towers
Progress of DSO in Europe
ASO complete
Analogue switch-off (ASO) underway
DSO not formally launched
Source: DigiTAG, Ofcom, Analysys Mason
21454-482
Broadcasting tower companies are the most common in Europe but other options exist …
64
Broadcasting tower companies are
the most common approach across
Europe
In some markets, major telecoms
groups provide broadcasting tower
services
TV channels have their own
broadcasting infrastructure in a few
countries
Initial considerations • European broadcasting towers
Ownership of main terrestrial
broadcast network operators
TV channels
Telecoms groups
Broadcasting tower companies
RTE NL
Arqiva Alticom
Teracom
Teracom
Norkring
Digita
Levira
Media Broadcast Norkring
Abertis
RTP
TDF Swisscom ORS Antenna Hungária Norkring
OiV
Mediaset
RaiWay
České Radiokomunikace
Digea
TVI
SIC
Source: Ofcom, EAO, national regulators
21454-482
France TDF TDF
Spain Abertis Telecom Abertis Telecom
Netherlands Alticom
UK Arqiva Arqiva Arqiva
Czech
Republic CRa CRa CRa
Italy RAI DTT
channels Rai, RaiWay RaiWay
… they can occupy different positions in the value chain and use various models
Initial considerations • European broadcasting towers
Broadcasting towers Distribution to towers Multiplexing Channels
Standard market structure – one main broadcasting tower operator
Vertically integrated market structure – several broadcasting tower operators
Broadcasting Distribution Multiplexing Channels
65
Source: Public sources, Analysys Mason
21454-482
The long-term sustainability of DTT is determined by a number of factors
Success of DTT
Initial considerations • European broadcasting towers
Platforms
Development of other platforms to
maintain a competitive edge:
technological improvements to enable
content-rich services
imposition of regulatory measures
Quality
Technology and quality of service (QoS) for
DTT vis-à-vis other platforms:
coverage
possibility/need for a return path
QoS
Prices
Affordability of DTT is more favourable
than other digital platforms, in terms of:
set-up prices (one-off payments of
set-top boxes (STBs), other
equipment such as
dishes and connections)
recurring (e.g. monthly) fees
Content
Breadth and quality of content on DTT:
number of channels
availability of premium content
pay-TV offerings
All this is determined by the willingness of
broadcasters to join the DTT platform
66
21454-482
SMP remedies are often, but not always, imposed to favour competition
Initial considerations • European broadcasting towers
Market/submarket
definition
Three-criteria test No ex-ante regulation
(but ex-post could apply)
Ex-ante regulation applicable
SMP
Remedies
Passed
Failed
1
2
3
Typical process for SMP designation and remedies
Transparency
Non discrimination
Obligation to publish a reference offer
Access obligation
Price control (methodology usually not specified)
67
Source: Analysys Mason
21454-482
Contents
68
Lluís Borrell: Broadcasting tower opportunities
Why?
Initial considerations
Trends and challenges – impact on investment case
Future opportunities
21454-482
Trends and challenges – key issues to be investigated
69 Trends and challenges • Impact on investment case
Selected key factors Key issues Relative
importance
Role of DTT as a platform Dominant and marginal role and impact on pricing
DTT/DSO Progress against DSO
MUXes (capacity) Potential for growth or reduction
Broadcasters economics –
traditional and new
Pressure on number of clients and revenue per client
Over-the-top services growth Threat to viability of the platform in the short or long
term
Value chain position Revenue and margin opportunity
Spectrum/HDTV/Pay DTT Neutral or potential upside
Radio – DAB Potential for analogue radio switch-off?
Regulatory evolution Potential for ex-ante or ex-post pressure
Incumbent or challenger Extent of reliance on incumbent network
Low High
Source: Analysys Mason
21454-482
FTA DTT model is based on large presence but niche pay-DTT model can also succeed
70 Trends and challenges • Impact on investment case
0%
5%
10%
15%
20%
25%
20
08
20
09
20
10
20
11
20
12
20
13
20
14
20
15
20
16
Pa
y D
TT
hou
seho
ld
pen
etr
atio
n (
%) European average
France
Italy
Netherlands
Spain
UK
Forecast of pay-DTT household penetration (%) in selected countries
FTA DTT has been most successful in countries where terrestrial was the main historical platform
Except for Italy and Sweden (c. 15% of households), pay DTT has had limited success typically:
penetration of less than 10% of households
it has had little impact on the overall pay-TV market
Source: Analysys Mason
21454-482
DTT role can significantly increase when taking into account secondary TV sets
71 Trends and challenges • Impact on investment case
In the UK, over 25% of HHs
had a secondary TV set reliant
on terrestrial
Secondary TV sets seem also
to be an important element for
countries with limited
penetration of DTT for primary
sets like Germany
21.4%
13.6%11.2%
8.7% 7.3%
63.9%
50.4%
39.5%
31.0%
24.4%
0%
10%
20%
30%
40%
50%
60%
70%
2006 2007 2008 2009 2010
Pe
ne
tratio
n a
s %
of T
V s
ets
Analogue terrestrial on primary
Analogue terrestrial on secondary
UK penetration of analogue terrestrial on
primary and secondary TV sets, 2006–10
Source: Ofcom digital progress update Q4/10
21454-482
DTT spectrum can be awarded at different levels creating different business models
72 Trends and challenges • Impact on investment case
UK – Distribution of multiplexes
and transmission MUX 1
MUX 2
MUX A
MUX B
MUX C MUX D
TV channels BBC1,
BBC2,
CBBC,
BBC3,
BBC News,
BBC Red
Button
ITV1, ITV1
+1, ITV2,
Channel 4,
Channel
4+1, More4,
E4,
Channel 5,
Rabbit
ITV3, QVC, bid
tv, ITV2+1, E4,
5*, 5 USA,
Quest,
Challenge,
CITV, Teletext
Hols, 1-2-1
Dating
BBC4,
CBeebies,
BBC
Parliament
Pick TV,
Dave, Dave
ja vu, E4+1,
The Big
Deal,
Create and
Craft, Price-
drop, Gems
TV, Pick
TV+1, Food
Network
Yesterday,
Film4,
4Music, Viva,
Ideal World,
ITV4, Rocks
& Co, Russia
Today, Al
Jazeera
English, Sky
Text
Multiplex
(licence
holder)
BBC Digital 3&4
(ITV + C4)
SDN
(ITV)
BBC
Arqiva
(NGW)
Arqiva
(NGW)
Modulation
scheme
16-QAM 64-QAM 64-QAM 16 QAM 16QAM 16QAM
Multiplex
transmission
provider
Arqiva
France – Distribution of multiplexes
and transmission MUX 1 MUX 2 MUX 3 MUX 4 MUX 5 MUX 6
TV Channels
(licence
holder)
France 2
France 3
France Ô
France 5
LCP/Publi
c Sénat
Local TV
France 4
I-Télé
BFM TV
Direct 8
Direct Star
Gulli
Canal +
Canal+ HD
Canal +
Cinema
Canal +
Sport
TPS Star
Planète+
CFoot
M6
W9
Paris
Première
NT1
Arte HD
TF1 HD
France 2 HD
M6 HD
TF1
Arte
TMC
TF6
LC1
Eurosport
France
NRJ 12
Multiplex
manager
Société de
Gestion du
Réseau
(France
Télévisions)
Nouvelles
TV
Numérique
s
(Lagardere
)
Cm. Du
Numérique
Hertzien
(Canal Plus)
Multi 4
(Société
opératrice du
multiplex R4)
Multiplex R5 SMR6 (TF1)
Compression
technology
MPEG-2 MPEG-2 MPEG-4 MPEG-2/
MPEG-4
MPEG-4 MPEG-2/
MPEG-4
Multiplex
transmission
provider
TDF and, to a lesser extent, Towercast
Source: DTT channel/service allocation by multiplex,
Digital TV Group (DTG)
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500
1,000
1,500
2,000
2,500
Denmark
Spain
Sweden
Austria
Italy
France
Germany
UK
With DTT/DSO, EU broadcasting markets are getting more competitive in number of TV channels
73 Trends and challenges • Impact on investment case
Evolution of competition level (HHI*)
by market in selected countries (2004–09)
Overall, as a guideline, if:
HHI>1800, a market is concentrated
1800>HHI >1000, a market is moderately
concentrated
HHI<1000, a market is more competitive
TV markets in the EU have become more
competitive in the last ten years, but in
economic terms they are still largely
‘moderately concentrated’
In the USA, HHI is <1000, so the market is far
more competitive (similar to what could be
expected with connected TV)
The competitive landscape appears to have
changed less in terms of revenues, as many
new TV channels are controlled by PSBs and
historical commercial broadcasters – this might
put pressure on broadcasting revenues
Source: EAO, Analysys Mason
*HHI = Herfindahl index
21454-482
DTT/DSO and financial crisis are putting pressure on broadcasters – TowerCos are somehow isolated
74 Trends and challenges • Impact on investment case
Source: EAO, EIU, Analysys Mason. Excludes Mediaset,
whose revenues include many other elements
Evolution of operating revenues for Europe’s major
commercial TV groups, at 2005 prices (2001–10)
-35% -45% -14% -21% -21%
Revenue
growth,
2006–10
0
200
400
600
800
1,000
1,200
1,400
1,600
1,800
2,000
A3 ITV TF1 TV4 RTL
EU
R m
illio
n
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Operating budget cuts could put pressure on transmission costs but they are
relatively small for larger players (only a few % of revenues)
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Sustainability of TV channels on DTT might be assessed based on broadcasters’ economics
75 Trends and challenges • Impact on investment case
Selected examples DTT transmission costs
as % revenues
Long-term sustainability?
Historical broadcaster A Less than 1% DTT costs are not main concern
Historical broadcaster B Less than 3% DTT costs are not main concern
Historical broadcaster C Less than 3% DTT costs are not main concern
New broadcaster A Less than 20% DTT costs are significant but
broadcaster might be able to cope
with it
New broadcaster B Between 20% and 40% It might require some innovative
pricing to favor a new entrant
Future new broadcaster More than 40% Unlikely to be sustainable long term –
probably requires closer look into
incremental revenues
Source: Analysys Mason
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0
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000
2010 2011 2012 2013 2014 2015
PB
per
month
Central and EasternEurope
Western Europe
OTT might challenge DTT in the long term as vendors forecast an explosion of video traffic
76 Trends and challenges • Impact on investment case
Internet video traffic in Europe (2010–15) Internet video-to-TV traffic will increase
14-fold in Western Europe and 24-fold in
Eastern Europe between 2010 and 2015
In the UK, consumption of video delivered
through the Internet to a video screen will rise
from 8% of total Internet video traffic in 2010 to
14% in 2015
In Germany, Internet video will account for
more than half of all Internet consumption by
2013
In France, 67% of broadband connections will
exceed 10Mbit/s in 2015, up from 36% today
The average broadband speed in Central and
Eastern Europe in 2015 will be 20Mbit/s
With a 58% CAGR over five years, this forecast would support an aggressive and
disruptive development in connected TV space
Source: Cisco VNI Forecasts 2011
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Only if you consider OTT to substitute linear TV this might pose a threat – this seems long term
77 Trends and challenges • Impact on investment case
Scenario 1 – Online video is
complementary to traditional TV
Scenario 2 – Online video as a
substitute for traditional TV
0
50
100
150
200
250
Consu
mptio
n o
f onlin
e v
ideo v
s T
V (
min
)
TV Online Video
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Conclusion
78 Trends and challenges • Impact on investment case
Selected key factors Comments and lessons
Role of DTT as a platform Potential for both large penetration (FTA) and small
penetration (pay TV)
DTT/DSO Significant change pre- and post-DSO
MUXes (capacity) Different models exists – this will affect the revenue and
margin profiles
Broadcasters’ economics –
traditional and new
New TV channels economics will be more difficult and might
need innovative commercial approaches
Over-the-top services growth Probably long term but needs to be assessed on a case-by-
case basis
Licensing/Value chain position Very different models can be developed
Spectrum/HDTV/Pay DTT Digital dividend could be negative
Radio – DAB Unlikely in the short to medium term
Regulatory evolution Different approaches based on market definition
Incumbent or challenger Very different models as incumbent or challenger
Source: Analysys Mason
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Contents
79
Lluís Borrell: Broadcasting tower opportunities
Why?
Initial considerations
Trends and challenges – impact on investment case
Future opportunities
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Divestment and State sales could trigger new transactions in 2012 and beyond? [1/2]
80 Future opportunities
Country Main broadcasting
towerco Main shareholder(s) Type of tower company
Potential
transaction
rationale?
Austria ORS ORF (60%), Medicur Holding (40%) TV channel State sale?
Belgium Norkring België Telenor Telecoms operator Non-core?
Croatia OIV Republic of Croatia Broadcasting towerco State sale?
Czech
Republic
České
Radiokomunikace
Macquarie Infrastructure Broadcasting towerco Recent
transaction
Denmark Teracom Danmark Teracom Group (Swedish state) Broadcasting towerco State sale?
Estonia Levira TDF (49%) / Estonian State (51%) Broadcasting towerco Divestment?
Finland Digita TDF Broadcasting towerco Divestment?
France TDF TPG Capital Broadcasting towerco Unlikely?
Germany Media Broadcast TDF Broadcasting towerco Divestment?
Greece Digea Mega, ANT1, Alpha, Alter, Star, m and
Skai
TV channel Outsourcing?
For discussion – Selected main tower companies, shareholders and
potential transaction rationale
Likely? Unlikely? Less likely?
21454-482
Divestment and State sales could trigger new transactions in 2012 and beyond? [2/2]
81 Future opportunities
Country Main broadcasting towerco
Main shareholder(s) Type of tower company Potential transaction rationale?
Ireland RTÉ NL RTE – Irish state TV channel State sale?
Italy RAI Way RAI – Italian state TV channel State sale?
Elettronica Industriale
Mediaset TV channel
Outsourcing?
Netherlands Alticom Infracapital Broadcasting towerco Recent transaction
Norway Norkring Telenor Telecoms operator Non core?
Portugal RTP RTP – Portuguese State TV channel State sale?
SIC SIC – Impresa TV channel Outsourcing?
TVI TVI – Grupo PRISA TV channel Outsourcing?
Slovenia Norkring d.o.o Telenor Telecoms operator Non core?
Spain Abertis La Caixa, ACS, CVC Broadcasting towerco Follow up recent changes
Sweden Teracom Teracom Group (Swedish State) Broadcasting towerco State sale?
UK Arqiva CPPIB (48%), Macquarie (32%) Broadcasting towerco Unlikely?
For discussion – Selected main tower companies, shareholders and
potential transaction rationale
Likely? Unlikely? Less likely?
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Contact details
82
Lluís Borrell
Partner
Analysys Mason
José Abascal 44 4°
28003 Madrid
Spain
Tel: +34 91 399 5016
Fax: +34 91 451 8071
Terry Norman
Principal Analyst
Analysys Mason
Bush House, North West Wing
Aldwych
London WC2B 4PJ
UK
Tel: +44 (0)845 600 5244
Fax: +44 (0)20 7395 9001
Marco Cordoni
Partner
Analysys Mason
Bush House, North West Wing
Aldwych
London WC2B 4PJ
UK
Tel: +44 (0)845 600 5244
Fax: +44 (0)20 7395 9001
www.analysysmason.com