service and network operators - tkk · 1 hels in ki university of technology s-38.041/h hämmäinen...
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S-38.041/H Hämmäinen Slide 1Helsinki University of TechnologyNetworking Laboratory
Service and Network OperatorsS-38.041 Networking Business
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S-38.041/H Hämmäinen Slide 2Helsinki University of TechnologyNetworking Laboratory
What is a business model?
Technical Inputs:e.g.: feasibility, performance
EconomicOutputs: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
EconomicOutputs: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
EconomicOutputs: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-38.041/H Hämmäinen Slide 3Helsinki University of TechnologyNetworking Laboratory
Roles in the Telecom EcosystemEnd-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
Contentprovider
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
Contentprovider
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-38.041/H Hämmäinen Slide 4Helsinki University of TechnologyNetworking Laboratory
Roles and RelationshipsReference Model
TPB_Ser
Transmissionnetworkoperator
Cap_Whl
End user
Subscriber
Serviceoperator
Accessnetworkoperator
Corenetworkoperator
Distributor
CPE Vendor
Networkequipment
vendor
Service Integrator
Regulator
Third partybilling service
provider
VASprovider
Contentaggregator
Contentprovider
Contentproducer/
owner
VA_Ser
CPE_Whl
CPE_Ret
Mkt_Rg
Nwk_Rg
Nwk_Rg
Cont_Ret
Billing
NES_Ven
NES_VenSer_Int
Ser_Int
NES_Ven
Sbs_Dstr
Cust_
TPB_Ser
TPB_Ser Cont_Whl
Cont_Whl
VA_SerCom_RetCap_Ret
Cap_Whl
Cap_Whl
Cap_Whl
TPB_Ser
Transmissionnetworkoperator
Cap_Whl
End user
Subscriber
Serviceoperator
Accessnetworkoperator
Corenetworkoperator
Distributor
CPE Vendor
Networkequipment
vendor
Service Integrator
Regulator
Third partybilling service
provider
VASprovider
Contentaggregator
Contentprovider
Contentproducer/
owner
VA_Ser
CPE_Whl
CPE_Ret
Mkt_Rg
Nwk_Rg
Nwk_Rg
Cont_Ret
Billing
NES_Ven
NES_VenSer_Int
Ser_Int
NES_Ven
Sbs_Dstr
Cust_
TPB_Ser
TPB_Ser Cont_Whl
Cont_Whl
VA_SerCom_RetCap_Ret
Cap_Whl
Cap_Whl
Cap_Whl
TPB_Ser
Transmissionnetworkoperator
Cap_Whl
End user
Subscriber
Serviceoperator
Accessnetworkoperator
Corenetworkoperator
Distributor
CPE Vendor
Networkequipment
vendor
Service Integrator
Regulator
Third partybilling service
provider
VASprovider
Contentaggregator
Contentprovider
Contentproducer/
owner
VA_Ser
CPE_Whl
CPE_Ret
Mkt_Rg
Nwk_Rg
Nwk_Rg
Cont_Ret
Billing
NES_Ven
NES_VenSer_Int
Ser_Int
NES_Ven
Sbs_Dstr
Cust_
TPB_Ser
TPB_Ser Cont_Whl
Cont_Whl
VA_SerCom_RetCap_Ret
Cap_Whl
Cap_Whl
Cap_WhlTransmission
networkoperator
Cap_Whl
End user
Subscriber
Serviceoperator
Accessnetworkoperator
Corenetworkoperator
Distributor
CPE Vendor
Networkequipment
vendor
Service Integrator
Regulator
Third partybilling service
provider
VASprovider
Contentaggregator
Contentprovider
Contentproducer/
owner
VA_Ser
CPE_Whl
CPE_Ret
Mkt_Rg
Nwk_Rg
Nwk_Rg
Cont_Ret
Billing
NES_Ven
NES_VenSer_Int
Ser_Int
NES_Ven
Sbs_Dstr
Cust_
TPB_Ser
TPB_Ser Cont_Whl
Cont_Whl
VA_SerCom_RetCap_Ret
Cap_Whl
Cap_Whl
Cap_Whl
Cap_Whl
End user
Subscriber
Serviceoperator
Accessnetworkoperator
Corenetworkoperator
Distributor
CPE Vendor
Networkequipment
vendor
Service Integrator
Regulator
Third partybilling service
provider
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_VenSer_Int
Ser_Int
NES_Ven
Sbs_Dstr
Cust_
TPB_Ser
TPB_Ser Cont_Whl
Cont_Whl
VA_SerVA_SerCom_RetCap_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-38.041/H Hämmäinen Slide 5Helsinki University of TechnologyNetworking Laboratory
Telecom Value Providers��������
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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-38.041/H Hämmäinen Slide 6Helsinki University of TechnologyNetworking Laboratory
Service Provider Portfolio
Loc
al te
leop
erat
orC
AT
V o
pera
tor
Ter
rest
rial o
pera
tor
Sate
llite
ope
rato
rIS
PC
ellu
lar o
pera
tor
Con
tent
ope
rato
r
Home telephone serviceBroadband Internet accessValue-added Internet servicesTerrestrial TV broadcastCable TV broadcastSatellite TV broadcastCellular serviceMultimedia content
Legend
Core business
Likely expansion
Possible expansion
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S-38.041/H Hämmäinen Slide 7Helsinki University of TechnologyNetworking 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-38.041/H Hämmäinen Slide 8Helsinki University of TechnologyNetworking 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-38.041/H Hämmäinen Slide 9Helsinki University of TechnologyNetworking 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-38.041/H Hämmäinen Slide 10Helsinki University of TechnologyNetworking Laboratory
Market Value per ServiceCase: US service providers’ annual revenues, 2003
Total telecom $300B
Cellular 80
Internet 35dedicated access 15residential dial 10residential broadband 10
Value is still in voice!
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S-38.041/H Hämmäinen Slide 11Helsinki University of TechnologyNetworking 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-38.041/H Hämmäinen Slide 12Helsinki University of TechnologyNetworking Laboratory
Basic Market Segments
Access Backbone
Transport
Content Remotecontent
Localcontent
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-38.041/H Hämmäinen Slide 13Helsinki University of TechnologyNetworking Laboratory
Types of Mobile OperatorsNetworkOperator
BrandOperator
Service Operator
MobileVirtual
NetworkOperator(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-38.041/H Hämmäinen Slide 14Helsinki University of TechnologyNetworking 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 marketSource: Kiiski, 2004
Dna Finland, Fujitsu Invia, Finnet Com, PGFree
Finnet Verkot (1)
Choice Markantalo
Radiolinja, Cubio, MTV 3 Oy
Tele2 (2)Radiolinja Origo (1)
HesburgerPasseli
Sonera, Saunalahti, Globetel, Terraflex, ACN
TeliaSonera(1)
Brand OperatorService OperatorMVNONetwork Operator
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S-38.041/H Hämmäinen Slide 15Helsinki University of TechnologyNetworking Laboratory
Operator’s Operational Objective
Profit = Subscribers * ARPU – OPEX – CAPEXProfit = Subscribers * ARPU – OPEX – CAPEX
ARPU = average revenue per userOPEX = 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-38.041/H Hämmäinen Slide 16Helsinki University of TechnologyNetworking Laboratory
0
10
20
30
40
50
2000 2001 2002 2003 2004 2005 2006
� p
er M
ont
h
.
DataVoice
Mobile Services ARPU Forecast
Source: Nokia, June 2002
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S-38.041/H Hämmäinen Slide 17Helsinki University of TechnologyNetworking 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-38.041/H Hämmäinen Slide 18Helsinki University of TechnologyNetworking Laboratory
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Financial Figures in MobileCase: Elisa Mobile
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S-38.041/H Hämmäinen Slide 19Helsinki University of TechnologyNetworking 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-38.041/H Hämmäinen Slide 20Helsinki University of TechnologyNetworking 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-38.041/H Hämmäinen Slide 21Helsinki University of TechnologyNetworking Laboratory
How do New Service Businesses Evolve?
”Maslow hierarchy” of needs for operator services
1. Coverage2. Capacity3. Quality4. Features
This guideline characterizes the evolution of both Internet and cellular services