SlideShare a Scribd company logo
1 of 7
Download to read offline
Business Model Innovation for the Digital Economy




                                                    Mobile Video
         Understanding the threat (and opportunity) of growth for
                                                        operators

                                                        Chris Barraclough
                                       chris.barraclough@stlpartners.com
                                                         www.Telco2.com
Mobile video growth is placing the current business model under
                    considerable strain
                        Video traffic growth will far outstrip revenue                          ...resulting in margin squeeze and potential losses for
                        growth...                                                               mobile operators
                        4,500
                        4,000
                        3,500
Indexed to 2008 = 100




                                     Revenues
                        3,000
                                     Users
                        2,500                                                                                                                 Costs
                                     Traffic
                                                                                                  £                                           Revenue
                        2,000
                        1,500
                        1,000
                         500
                           0
                                                                                                                        Time
                                2008 2009 2010 2011 2012 2013 2014 2015


                        Key question facing mobile operator management:
                        • How fast will this occur: when will the current broadband business model reach ‘end-of-life’?


                                                                  © STL Limited • Proprietary and Confidential                                    -2-
STL Partners’ study will answer the key operator question about the
sustainability of the current mobile broadband business model
Key Question:                 Answer provided for different market scenarios based on changes in:
• How long will it take for   1. Demand-side variables:
  video-related costs to        •   End-user consumption profile
  outstrip broadband
  access revenues:            2. Supply-side variables:
                                •   Network and device technology
  • When will the current
    mobile broadband            •   Video delivery method
    business model reach
                              3. Market and business model variables:
    ‘end-of-life’?
                                •   End user broadband pricing
                                •   Operator network capacity profile (RAN, backhaul, core)
                                •   Operator network cost profile (fixed, semi-variable, variable)




 Clients will be able to select specific operators within (mature) markets and assess when video
 growth is likely to be a ‘business-critical’ issue under 3-4 market scenarios.



                                     © STL Limited • Proprietary and Confidential                    -3-
Methodology summary: developing a detailed mobile video economic
model
               Macro Forecast                                             Country Forecast       Company Forecast

1. Demand
• Consumer use cases
• Video consumption by
  delivery method
                                 3. Video Traffic                         6. Video Traffic       8. Operator P&L
                                 • By delivery method,                       and Broadband       • Revenue forecasts
                                   device , network                          Revenue             • Opex and Capex
                                 • By region and major
                                                                          • By country             forecasts
2. Supply                          country
• Developments in
  • Devices
  • Networks
  • Delivery methods
                                                                          5. Pricing             7. Network costs
                                                                          • Mobile broadband        & capacities
                                                                            access               • RAN, backhaul, core
• 3-4 scenarios developed for video traffic growth:                                              • Fixed, semi-variable,
  • 3-4 different macro-trends                                                                     variable


• Scenarios impact country trends (volume and
  pricing)                                                                4. Market
                                                                             Dynamics
• Scenarios also affect network costs and                                 • Market structure &
                                                                            competition
  ultimately individual operator P&L                                      • Market shares


                                                 © STL Limited • Proprietary and Confidential                              -4-
The economic model will provide a number of valuable outputs
                 Macro Forecast                                                    Country Forecast                   Company Forecast


                                                                                           Revenue and cost forecasts for individual
                                                                                           operators’ broadband businesses in key markets
                                                                                                        Scenario 1; Operator X, UK
Consensus on specific                                                                                  Costs    Revenue
consumer use cases                                                                             £
for mobile video                          Video volume and
                                          revenue forecasts by
                                          country                                                              Time

 1. Demand

                                                                               6. Video Traffic and               8. Operator Video
                                   3. Video Traffic
                                                                                  Broadband Revenue                  P&L

 2. Supply
                                                                                                                  7. Network costs &
                                                                               5. Pricing
                                                                                                                     capacities

                                  Per MB mobile
                                  broadband access
                                                                               4. Market Dynamics
                                  price forecasts by
Consensus on supply-
                                  country
side (technology)
developments


                                                      © STL Limited • Proprietary and Confidential                                          -5-
Why a syndicated approach?
 1. Garner input from multiple specialists:
   •   Chipset vendor
   •   Device manufacturer
   •   NEP
   •   IT vendor
   •   Content industry
   •   Operator

 2. Reach consensus across the value chain on the business model issues associated with video
    delivery
 3. Spread cost of this significant project




                                       © STL Limited • Proprietary and Confidential             -6-
Next steps
• Please contact :




           Chris Barraclough, MD STL Partners
             chris.barraclough@stlpartners.com




                        © STL Limited • Proprietary and Confidential   -7-

More Related Content

More from Simon Torrance

Telco 2.0 Transformation Index - Methodology and Approach
Telco 2.0 Transformation Index - Methodology and ApproachTelco 2.0 Transformation Index - Methodology and Approach
Telco 2.0 Transformation Index - Methodology and ApproachSimon Torrance
 
Telco2 business models and opportunities briefing may 2013
Telco2   business models and opportunities   briefing may 2013Telco2   business models and opportunities   briefing may 2013
Telco2 business models and opportunities briefing may 2013Simon Torrance
 
Defining the Telco 2.0 Ecosystems
Defining the Telco 2.0 EcosystemsDefining the Telco 2.0 Ecosystems
Defining the Telco 2.0 EcosystemsSimon Torrance
 
Telco 2.0 Platforms Research Methodology 18 Sep 09
Telco 2.0   Platforms Research Methodology 18 Sep 09Telco 2.0   Platforms Research Methodology 18 Sep 09
Telco 2.0 Platforms Research Methodology 18 Sep 09Simon Torrance
 
T2 Use Case Project Overview V1
T2 Use Case Project Overview V1T2 Use Case Project Overview V1
T2 Use Case Project Overview V1Simon Torrance
 
Telco 2.0 Cust Survey Overview, December 2008
Telco 2.0 Cust Survey Overview, December 2008Telco 2.0 Cust Survey Overview, December 2008
Telco 2.0 Cust Survey Overview, December 2008Simon Torrance
 
Telco 2.0 'two-sided' business model - Intro
Telco 2.0 'two-sided' business model - IntroTelco 2.0 'two-sided' business model - Intro
Telco 2.0 'two-sided' business model - IntroSimon Torrance
 

More from Simon Torrance (7)

Telco 2.0 Transformation Index - Methodology and Approach
Telco 2.0 Transformation Index - Methodology and ApproachTelco 2.0 Transformation Index - Methodology and Approach
Telco 2.0 Transformation Index - Methodology and Approach
 
Telco2 business models and opportunities briefing may 2013
Telco2   business models and opportunities   briefing may 2013Telco2   business models and opportunities   briefing may 2013
Telco2 business models and opportunities briefing may 2013
 
Defining the Telco 2.0 Ecosystems
Defining the Telco 2.0 EcosystemsDefining the Telco 2.0 Ecosystems
Defining the Telco 2.0 Ecosystems
 
Telco 2.0 Platforms Research Methodology 18 Sep 09
Telco 2.0   Platforms Research Methodology 18 Sep 09Telco 2.0   Platforms Research Methodology 18 Sep 09
Telco 2.0 Platforms Research Methodology 18 Sep 09
 
T2 Use Case Project Overview V1
T2 Use Case Project Overview V1T2 Use Case Project Overview V1
T2 Use Case Project Overview V1
 
Telco 2.0 Cust Survey Overview, December 2008
Telco 2.0 Cust Survey Overview, December 2008Telco 2.0 Cust Survey Overview, December 2008
Telco 2.0 Cust Survey Overview, December 2008
 
Telco 2.0 'two-sided' business model - Intro
Telco 2.0 'two-sided' business model - IntroTelco 2.0 'two-sided' business model - Intro
Telco 2.0 'two-sided' business model - Intro
 

Recently uploaded

Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024The Digital Insurer
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodJuan lago vázquez
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWERMadyBayot
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MIND CTI
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...apidays
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?Igalia
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Zilliz
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...apidays
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024The Digital Insurer
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 

Recently uploaded (20)

Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 

Mobile Video Syndicated Study Cb Mar 4 2010

  • 1. Business Model Innovation for the Digital Economy Mobile Video Understanding the threat (and opportunity) of growth for operators Chris Barraclough chris.barraclough@stlpartners.com www.Telco2.com
  • 2. Mobile video growth is placing the current business model under considerable strain Video traffic growth will far outstrip revenue ...resulting in margin squeeze and potential losses for growth... mobile operators 4,500 4,000 3,500 Indexed to 2008 = 100 Revenues 3,000 Users 2,500 Costs Traffic £ Revenue 2,000 1,500 1,000 500 0 Time 2008 2009 2010 2011 2012 2013 2014 2015 Key question facing mobile operator management: • How fast will this occur: when will the current broadband business model reach ‘end-of-life’? © STL Limited • Proprietary and Confidential -2-
  • 3. STL Partners’ study will answer the key operator question about the sustainability of the current mobile broadband business model Key Question: Answer provided for different market scenarios based on changes in: • How long will it take for 1. Demand-side variables: video-related costs to • End-user consumption profile outstrip broadband access revenues: 2. Supply-side variables: • Network and device technology • When will the current mobile broadband • Video delivery method business model reach 3. Market and business model variables: ‘end-of-life’? • End user broadband pricing • Operator network capacity profile (RAN, backhaul, core) • Operator network cost profile (fixed, semi-variable, variable) Clients will be able to select specific operators within (mature) markets and assess when video growth is likely to be a ‘business-critical’ issue under 3-4 market scenarios. © STL Limited • Proprietary and Confidential -3-
  • 4. Methodology summary: developing a detailed mobile video economic model Macro Forecast Country Forecast Company Forecast 1. Demand • Consumer use cases • Video consumption by delivery method 3. Video Traffic 6. Video Traffic 8. Operator P&L • By delivery method, and Broadband • Revenue forecasts device , network Revenue • Opex and Capex • By region and major • By country forecasts 2. Supply country • Developments in • Devices • Networks • Delivery methods 5. Pricing 7. Network costs • Mobile broadband & capacities access • RAN, backhaul, core • 3-4 scenarios developed for video traffic growth: • Fixed, semi-variable, • 3-4 different macro-trends variable • Scenarios impact country trends (volume and pricing) 4. Market Dynamics • Scenarios also affect network costs and • Market structure & competition ultimately individual operator P&L • Market shares © STL Limited • Proprietary and Confidential -4-
  • 5. The economic model will provide a number of valuable outputs Macro Forecast Country Forecast Company Forecast Revenue and cost forecasts for individual operators’ broadband businesses in key markets Scenario 1; Operator X, UK Consensus on specific Costs Revenue consumer use cases £ for mobile video Video volume and revenue forecasts by country Time 1. Demand 6. Video Traffic and 8. Operator Video 3. Video Traffic Broadband Revenue P&L 2. Supply 7. Network costs & 5. Pricing capacities Per MB mobile broadband access 4. Market Dynamics price forecasts by Consensus on supply- country side (technology) developments © STL Limited • Proprietary and Confidential -5-
  • 6. Why a syndicated approach? 1. Garner input from multiple specialists: • Chipset vendor • Device manufacturer • NEP • IT vendor • Content industry • Operator 2. Reach consensus across the value chain on the business model issues associated with video delivery 3. Spread cost of this significant project © STL Limited • Proprietary and Confidential -6-
  • 7. Next steps • Please contact : Chris Barraclough, MD STL Partners chris.barraclough@stlpartners.com © STL Limited • Proprietary and Confidential -7-