service and network operators · telecom business used to be a simple national government telephony...
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S-38.3041 Slide 1Helsinki University of Technology
Networking Laboratory
Service and Network Operators
S-38.3041 Networking Business
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S-38.3041 Slide 2Helsinki University of Technology
Networking Laboratory
What is a business model?
Technical
Inputs:e.g.: feasibility,
performance
Economic
Outputs:e.g.: value, price, profit
Business model
•Market
•Value proposition•Value chain•Cost and profit
•Value network
•Competitive strategy
Measured in technical domain Measured in economic domain
Technical
Inputs:e.g.: feasibility,
performance
Economic
Outputs:e.g.: value, price, profit
Business model
•Market
•Value proposition•Value chain•Cost and profit
•Value network
•Competitive strategy
Technical
Inputs:e.g.: feasibility,
performance
Economic
Outputs:e.g.: value, price, profit
Business model
•Market
•Value proposition•Value chain•Cost and profit
•Value network
•Competitive strategy
Measured in technical domain Measured in economic domain
• Articulate the value proposition
• Identify the market segment
• Define the internal value chain
• Identify the cost structure and the profit potential
• Position within the value network
• Formulate strategy for competition
Source: ECOSYS, 2004
A business model (cmp. earning logic) describes the key choices that a firm makes
to achieve sustainable operation. The business models of existing firms in existing
markets often seem trivial, while those of new firms in new markets appear
challenging.
Internet enables new business models for new digital products and services (e.g.
Sonera/ringing tones). In addition, Internet enables new business models that
change the traditional markets of physical products for instance by shortening the
logistics chains (e.g. Amazon/books).
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S-38.3041 Slide 3Helsinki University of Technology
Networking Laboratory
Roles in the Telecom Ecosystem
End-user
Distributor
CPE Vendor
Third party billing
service provider
Regulator
Service Operator
Subscriber
Access networkoperator
Core network operator
Network Equipment
Vendor (Network elements and services)
Service Integrator
ContentAggregator
Content
provider
Contentproducer/owner
Value-added Service Provider
End-user
Distributor
CPE Vendor
Third party billing
service provider
Regulator
Service Operator
Subscriber
Access networkoperator
Core network operator
Network Equipment
Vendor (Network elements and services)
Service Integrator
ContentAggregator
Content
provider
Contentproducer/owner
Value-added Service Provider
Source: ECOSYS, 2004
Telecom business used to be a simple national government telephony monopoly in
most countries. Its liberalization and privatization in the 1990s opened brought
competition. At the same time the new developments in technology (Internet and
mobile) caused a fast increase in volume and variety of the service portfolio. Now
the convergence of telephony, computer and TV networks changes the market
dynamics. Telecom has become a complex business.
One indicator of complexity is the growing number of different roles of firms
interacting in the telecom market (i.e. firms living in the same ecosystem, firms
participating to the same value network).
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S-38.3041 Slide 4Helsinki University of Technology
Networking Laboratory
Roles and RelationshipsReference Model
TPB_Ser
Transmission
networkoperator
Cap_Whl
End user
Subscriber
Service
operator
Accessnetwork
operator
Core
networkoperator
Distributor
CPE Vendor
Networkequipment
vendor
Service Integrator
Regulator
Third party
billing serviceprovider
VASprovider
Contentaggregator
Contentprovider
Contentproducer/
owner
VA_Ser
CPE_Whl
CPE_Ret
Mkt_Rg
Nwk_Rg
Nwk_Rg
Cont_Ret
Billing
NES_Ven
NES_Ven
Ser_Int
Ser_Int
NES_Ven
Sbs_Dstr
Cust_
TPB_Ser
TPB_Ser Cont_Whl
Cont_Whl
VA_SerCom_Ret
Cap_Ret
Cap_Whl
Cap_Whl
Cap_Whl
TPB_Ser
Transmission
networkoperator
Cap_Whl
End user
Subscriber
Service
operator
Accessnetwork
operator
Core
networkoperator
Distributor
CPE Vendor
Networkequipment
vendor
Service Integrator
Regulator
Third party
billing serviceprovider
VASprovider
Contentaggregator
Contentprovider
Contentproducer/
owner
VA_Ser
CPE_Whl
CPE_Ret
Mkt_Rg
Nwk_Rg
Nwk_Rg
Cont_Ret
Billing
NES_Ven
NES_Ven
Ser_Int
Ser_Int
NES_Ven
Sbs_Dstr
Cust_
TPB_Ser
TPB_Ser Cont_Whl
Cont_Whl
VA_SerCom_Ret
Cap_Ret
Cap_Whl
Cap_Whl
Cap_Whl
TPB_Ser
Transmission
networkoperator
Cap_Whl
End user
Subscriber
Service
operator
Accessnetwork
operator
Core
networkoperator
Distributor
CPE Vendor
Networkequipment
vendor
Service Integrator
Regulator
Third party
billing serviceprovider
VASprovider
Contentaggregator
Contentprovider
Contentproducer/
owner
VA_Ser
CPE_Whl
CPE_Ret
Mkt_Rg
Nwk_Rg
Nwk_Rg
Cont_Ret
Billing
NES_Ven
NES_Ven
Ser_Int
Ser_Int
NES_Ven
Sbs_Dstr
Cust_
TPB_Ser
TPB_Ser Cont_Whl
Cont_Whl
VA_SerCom_Ret
Cap_Ret
Cap_Whl
Cap_Whl
Cap_Whl
Transmission
networkoperator
Cap_Whl
End user
Subscriber
Service
operator
Accessnetwork
operator
Core
networkoperator
Distributor
CPE Vendor
Networkequipment
vendor
Service Integrator
Regulator
Third party
billing serviceprovider
VASprovider
Contentaggregator
Contentprovider
Contentproducer/
owner
VA_Ser
CPE_Whl
CPE_Ret
Mkt_Rg
Nwk_Rg
Nwk_Rg
Cont_Ret
Billing
NES_Ven
NES_Ven
Ser_Int
Ser_Int
NES_Ven
Sbs_Dstr
Cust_
TPB_Ser
TPB_Ser Cont_Whl
Cont_Whl
VA_SerCom_Ret
Cap_Ret
Cap_Whl
Cap_Whl
Cap_Whl
Cap_Whl
End user
Subscriber
Service
operator
Accessnetwork
operator
Core
networkoperator
Distributor
CPE Vendor
Networkequipment
vendor
Service Integrator
Regulator
Third party
billing serviceprovider
VASprovider
Contentaggregator
Contentprovider
Contentproducer/
owner
VA_Ser
CPE_Whl
CPE_Ret
Mkt_RgMkt_Rg
Nwk_Rg
Nwk_RgNwk_Rg
Cont_Ret
Billing
NES_VenNES_Ven
NES_Ven
Ser_Int
Ser_Int
NES_Ven
Sbs_Dstr
Cust_
TPB_Ser
TPB_Ser Cont_Whl
Cont_Whl
VA_SerVA_SerCom_Ret
Cap_Ret
Cap_Whl
Cap_Whl
Cap_Whl
Legend• Cap = capacity
• CPE = customer equipment
• Mkt = market
• Nwk = network
• Ret = retail
• TPB = 3rd party billing
• VA = value-added
• Whl = wholesale
Source: ECOSYS, 2004
A simplified reference model can be used to describe the possible roles and the
possible relationships between the roles.
A real firm in a real market may choose to play multiple roles, which turns the firm
more complex but may simplify the market.Thus, although the telecom reference
model is globally relevant, it has local instances with local national peculiarities.
This variation is one obstacle for copying a successfull business model from one
country to another.
For instance, a mobile operator may play several roles: service operator, access
network operator, core network operator, handset distributor, content aggregator
(e.g. NTT DoCoMo in Japan). However, in some countries the number of roles can
be limited by law (e.g. prohibition of bundling GSM handsets and subscriptions in
Finland).
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S-38.3041 Slide 5Helsinki University of Technology
Networking Laboratory
Telecom Value ProvidersEnd-user
Securityand QoS
Personalization
Presence and
context-awarene
ss
CPE Vendor
Connectivity
Mobility and
reachability
E- and m-
services
Converged
services
Ease of use
Service operator
Access Network operator
Core Network Operator
Value-Added Service Provider
E- and m-
services
Third party billing service provider
Content aggregator/provider
Personalization
Content producer/owner
Source: ECOSYS, 2004
Each role in the reference model is relevant because it creates unique value to end-
users. This unique added value justifies the corresponding role within the value
system.
A simplified set of the most important end-user values in telecom can be used to
characterize the mapping between roles and values.
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S-38.3041 Slide 6Helsinki University of Technology
Networking Laboratory
Service Provider Portfolio
Lo
cal
tele
oper
ato
r
CA
TV
op
erat
or
Ter
rest
rial
oper
ato
r
Sat
elli
te o
per
ato
r
ISP
Cel
lula
r o
per
ato
r
Co
nte
nt
op
erat
or
Home telephone service
Broadband Internet access
Value-added Internet services
Terrestrial TV broadcast
Cable TV broadcast
Satellite TV broadcast
Cellular service
Multimedia content
Legend
Core business
Likely expansion
Possible expansion
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S-38.3041 Slide 7Helsinki University of Technology
Networking Laboratory
Operator Business Changing (1/2) Driven by Government Intentions
Quarterly focusLong-term focus
Global operatorsLocal operators
Virtual operatorsReal operators
Private ownershipGovernment ownership
FUTUREPAST
Rolling budgetsStatic budgets
Value netsValue chains
Competing oligopoliesMonopolies
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S-38.3041 Slide 8Helsinki University of Technology
Networking Laboratory
Operator Business Changing (2/2)Driven by Technology Evolution
SubscribersSubscriptions
Large investmentsIncremental investments
All IPDedicated networks
Full-service operatorsDedicated operators
FUTUREPAST
+ Roaming agreementsInterconnect agreements
WirelessWireline
Low marginsHigh margins
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S-38.3041 Slide 9Helsinki University of Technology
Networking Laboratory
Market Consolidation
• Number of network operators likely to reduce globally
from thousands to hundreds. Oligopoly likely within each
segment: global, regional, national
• Number of telecom system vendors likely to reduce
globally from 40 to 10 creating another oligopoly
• Number of consumer terminal platform providers
(desktop and mobile) reducing from tens to less than ten
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S-38.3041 Slide 10Helsinki University of Technology
Networking Laboratory
Market Value per ServiceCase: US service providers’ annual revenues, 2003
Total telecom $300B
Cellular 80
Internet 35
dedicated access 15
residential dial 10
residential broadband 10
Value is still in voice!
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S-38.3041 Slide 11Helsinki University of Technology
Networking Laboratory
Service Value per Sub & MegabyteCase: US in 2003
3000.00SMS
3.5050Cell phone
0.3320Dial Internet
0.0870Phone
0.02550Broadband Internet
$0.00012$40Cable
Revenue per MBTypical monthly
bill
Service
There are still unexploited opportunities in voice, especially in 3G (with
differentiated voice quality levels, etc.). The success of Nextel’s push-to-talk
should not have been a surprise (nor SMS).
Volume and value only weakly related !
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S-38.3041 Slide 12Helsinki University of Technology
Networking Laboratory
Basic Market Segments
Access Backbone
Transport
ContentRemote
content
Local
content
Copper vs coax?
• Access (=retail) and backbone (=wholesale) operators getting separated
• Access operators keep converging, but regulator fights monopolies
• Remote content is a separate market, but needs micropayment mechanisms
• Mobile access operators still bundle and charge for local content
?
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S-38.3041 Slide 13Helsinki University of Technology
Networking Laboratory
Types of Mobile OperatorsNetwork
Operator
Brand
Operator
Service
OperatorMobile
Virtual
Network
Operator
(VMNO)
Marketing
Distribution
Customer Care
Tariffing / Billing
Network Services
Switching/ Routing capabilities
Radio Access Network
Source: Smura/Marjalaakso, 2003 (modified)
• Regulation and competition generate derivatives in the mobile markets
• Virtual market is likely to exceed the fundaments/MNO market !
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S-38.3041 Slide 14Helsinki University of Technology
Networking Laboratory
Mobile Operator SpaceCase: Finland
(1) Operators with GSM and WCDMA licence
(2) Operator with WCDMA licence only
In Finland, the derivative market is still less than 20% of MNO market
Source: Kiiski, 2004
Dna Finland, Fujitsu
Invia, Finnet Com,
PGFree
Finnet Verkot (1)
Choice
Markantalo
Radiolinja, Cubio, MTV 3
Oy
Tele2 (2)Radiolinja Origo (1)
Hesburger
Passeli
Sonera, Saunalahti,
Globetel, Terraflex, ACN
TeliaSonera(1)
Brand OperatorService OperatorMVNONetwork Operator
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S-38.3041 Slide 15Helsinki University of Technology
Networking Laboratory
Operator’s Operational Objective
Profit = Subscribers * ARPU – OPEX – CAPEXProfit = Subscribers * ARPU – OPEX – CAPEX
ARPU = average revenue per user
OPEX = operational expenditure (personnel, marketing, etc)
CAPEX = capital expenditure (equipment, licences, etc)
• Keep existing
• Acquire new
• Increase usage (more and better services)
• Increase prices (segmentation, branding)
• Optimize service quality
• Make vs. buy• Optimize coverage and capacity
• Press equipment suppliers
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S-38.3041 Slide 16Helsinki University of Technology
Networking Laboratory
0
10
20
30
40
50
2000 2001 2002 2003 2004 2005 2006
€ p
er
Mo
nth
.
Data
Voice
Mobile Services ARPU Forecast
Source: Nokia, June 2002
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S-38.3041 Slide 17Helsinki University of Technology
Networking Laboratory
Mobile Operator Cost BreakdownCase: 3G in Holland
Content Acquisition2%
Network23%
License10%
Customer Acquisition8%Marketing
8%
Handset Subsidies7%
Operational Costs41%
Product Development1%
Source: Delft University of Technology, 2001
In Finland, licence and handset subsidies are not relevant
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S-38.3041 Slide 18Helsinki University of Technology
Networking Laboratory
Telecom Forum, Helsinki University of Technology25.11.2003
Elisa OyjTapio Karjalainen/MNo
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Elisa Mobile’s Key Figures
Elisa Mobile's key figures, EURm Q3/03 Q3/02 % 2002Revenue 195 188 3 % 739Clean EBITDA 58 50 -17 % 194Clean EBITDA-% 30 % 27 % 26 %Leasing adj. EBITDA 64 57 12 % 229Leasing adj. EBITDA-% 33 % 31 % 31 %CAPEX 22 16 42 % 145CAPEX excl. network buy-backs 19 10 87 % 96Oper CAPEX / sales 10 % 6 % 13 %No. of Subscriptions in Finland * 1 374 8471 301 621 6 % 1 342 417ARPU, EUR ** 42,5 43,0 -1 % 42,2Churn ** 24,2 % 14,0 % 15,7 %Minutes of use, million * 598 521 15 % 2 087Minutes of use / subs / month ** 151 139 9 % 136No. of SMS, million * 111 100 11 % 422No. of SMS / subs / month ** 28 27 5 % 27Value added services / revenue 12 % 13 % 12 %
* Network operator** Service operator
Financial Figures in MobileCase: Elisa Mobile
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S-38.3041 Slide 19Helsinki University of Technology
Networking Laboratory
Cost Structure for ISP TrafficCase: European ISP
0.003c7%0.05cLocal traffic
0.16c20%0.8cCached
0.015c5%0.3cDomestic trunks
0.16c8%2cInternational peers
3c60%5cUpstream international ISP
Cost componentTraffic (%)Unit cost (c/MB)Traffic Type
• Assumption of peak load at 90% of capacity implies an average
load of 35-55%
• Traffic distribution between traffic types is highly ISP-specific
• Price erosion on unit cost (c/MB) is fast (e.g. ?)Source: Huston G, 1999 (mod)
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S-38.3041 Slide 20Helsinki University of Technology
Networking Laboratory
General ISP Cost StructureExamples
• Cost structure depends on the position and strategy of ISP
• Special position of US ISPs is gradually disappearing
Source: Huston G, 1999 (mod)
60%International circuit leases
2%60%Upstream ISP
23%10%30%Backbone network
5%10%20%Access infrastructure
10%20%50%Customer support and marketing
Non-US Transit ISPNon-US ISPUS ISP
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S-38.3041 Slide 21Helsinki University of Technology
Networking Laboratory
How do New Service Businesses
Evolve?”Maslow hierarchy” of needs for operator services
1. Coverage
2. Capacity
3. Quality
4. Features
This guideline characterizes the evolution of both Internet
and cellular services