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1 S-38.041/H Hämmäinen Slide 1 Helsinki University of Technology Networking Laboratory Service and Network Operators S-38.041 Networking Business

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Page 1: Service and Network Operators - TKK · 1 Hels in ki University of Technology S-38.041/H Hämmäinen Slide 1 Networking Laboratory Service and Network Operators S-38.041 Networking

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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