Tag: Value chain

How video analytics can kickstart the edge opportunity for telcos

Processing video is a key use for edge computing

In our analysis and sizing of the edge market, STL Partners found that processing video will be a strong driver of edge capacity and revenues. This is because a huge quantity of visual data is captured each day through many different processes. The majority of the information captured is straightforward (such as “how busy is this road?”), therefore it is highly inefficient for the whole data stream to be sent to the core of the network. It is much better to process it near to the point of origin and save the costs, energy and time of sending it back and forth. Hence “Video Analytics” is a key use for edge computing.

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The edge market is evolving rapidly

Edge computing is an exciting opportunity. The market is evolving rapidly, and although still fairly nascent today, is expected to scale significantly over the next 2-3 years. STL partners has estimated that the total edge computing addressable market was worth $10bn in 2020, and that this will grow to $534bn in 2030. This is driven by the increasing number of connected devices, and the rising adoption of IoT, Industry 4.0 and digital transformation solutions. While cloud adoption continues to grow in parallel, there are cases where the increasingly stringent connectivity demands of new and advanced use cases cannot be met by cloud or central data centres, or where sending data to the cloud is too costly. Edge answers this problem, and offers an alternative option with lower latency, reduced backhaul and greater reliability. For the many enterprises who are adopting a hybrid and multi-cloud strategy – strategically distributing their data across different clouds and locations – running workloads at the edge is a natural next step.

Developments in the technologies enabling edge computing are also contributing to market growth. For example, the increased agility of virtualised and 5G networks enables the migration of workloads from the cloud to the edge. Compute is also developing, becoming more lightweight, efficient, and powerful. These more capable devices can run workloads and perform operations that were not previously possible at the edge.

Defining different types of edge

Edge computing brings processing capabilities closer to the end user or end-device. The compute infrastructure is therefore more distributed, and typically at smaller sites. This differs from traditional on-premise compute (which is monolithic or based on proprietary hardware) because it utilises the flexibility and openness of cloud native infrastructure, i.e. highly scalable Kubernetes clusters.

The location of the edge may be defined as anywhere between an end device, and a point on the periphery of the core network. We have outlined the key types of edge computing and where they are located in the figure below.

The types of edge computing

It should be noted that although moving compute to the edge can be considered an alternative to cloud, edge computing also complements cloud computing and drives adoption, since data that is processed or filtered at the edge can ultimately be sent to the cloud for longer term storage or collation and analysis.

Telcos must identify which area of the edge market to focus on

For operators looking to move beyond connectivity and offer vertical solutions, edge is an opportunity to differentiate by incorporating their edge capabilities into solutions. If successful, this could result in significant revenue generation, since the applications and platforms layer is where most of the revenue from edge resides. In fact, by 2030, 70% of the addressable revenue for edge will come from the application, with only 9% in the pure connectivity. The remaining 21% represents the value of hardware, edge infrastructure and platforms, integration, and managed services.

Realistically, operators will not have the resource and management bandwidth to develop solutions for several use cases and verticals. They must therefore focus on key customers in one or two segments, understand their particular business needs, and deliver that value in concert with specific partners in their ecosystem. As it relates to MEC, most operators are selecting the key partners for each of the services they offer – broadcast video, immersive AR/VR experiences, crowd analytics, gaming etc.

When selecting the best area to focus on, telcos should weigh up the attractiveness of the market (including the size of the opportunity, how mature the opportunity is, and the need for edge) against their ability to compete.

Value of edge use cases (by size of total addressable market by 2030)

Source: STL Partners – Edge computing market sizing forecast

We assessed the market attractiveness of the top use cases that are expected to drive adoption of edge over the coming years, some of which are shown in the figure above. This revealed that the use cases that represent the largest opportunities in 2030 include edge CDN, cloud gaming, connected car driver assistance and video analytics. Of these, video analytics is the most mature opportunity, therefore represents a highly attractive proposition for CSPs.

Table of Contents

  • Executive Summary
  • Introduction
    • Processing video is a key use for edge computing
    • The edge market is evolving rapidly
    • Defining different types of edge
    • Telcos must identify which area of the edge market to focus on
  • Video analytics is a large and growing market
    • The market for edge-enabled video analytics will be worth $75bn by 2030
  • Edge computing changes the game and plays to operator strengths
    • What is the role of 5G?
  • Security is the largest growth area and operators have skills and assets in this
    • Video analytics for security will increasingly rely on the network edge
  • There is empirical evidence from early movers that telcos can be successful in this space
    • What are telcos doing today?
    • Telcos can front end-to-end video analytics solutions
    • It is important to maintain openness
    • Conquering the video analytics opportunity will open doors for telcos
  • Conclusion
  • Index

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Growing B2B2X: Taking telcos beyond connectivity and 5G

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The telecoms industry is looking to revive growth

Telecoms operators have enjoyed 30 years of strong growth in all major markets. However, the core telecoms industry is showing signs of slowing. Connectivity revenue growth is declining and according to our research, annual growth in mobile operator revenues pre-COVID were converging to 1% across Asia Pacific, North America, and Western Europe. To help reverse this trend, telecoms operators’ have been investing in upgrading networks (fibre, 4G, 5G), enabling them to offer ever-increasing data speeds/plans to gain more customers and at least sustain ARPUs. However, this has resulted in the increasing commoditisation of connectivity as competitors also upgrade their networks. The costs to upgrade networks coupled with reducing margins from commoditisation have made it difficult for operators to invest in new revenue streams beyond core connectivity.

While connectivity remains an essential component in consumer and enterprises’ technology mix, on its own, it no longer solves our most pressing challenges. When the telecoms industry was first founded, over 150 years ago, operators were set up to solve the main challenge of the day, which was overcoming time and distance between people. Starting in the 1990s, alongside the creation of the internet and development of more powerful data networks, today’s global internet players set out to solve the next big challenge – affordable access to information and entertainment. Today, our biggest challenge is the need to make more efficient use of our resources, whether that’s time, assets, knowledge, raw material, etc. Achieving this requires not only connectivity and information, but also a high level of coordination across multiple organisations and systems to get it to the right place, at the right time. We therefore call this the Coordination Age.

Figure 1: New challenges for telecoms in the Coordination AgeThe coordination age overview

Source: STL Partners

In the Coordination Age, ‘things’ – machines, products, buildings, grids, processes – are increasingly connecting with each other as IoT and cloud-based applications become ubiquitous. This is creating an exponential increase in the volume of data available to drive development of advanced analytics and artificial intelligence, which combined with automation can improve productivity and resource efficiency. There are major socioeconomic challenges that society is facing that require better matching of supply and demand, which not only needs real-time communications and information exchange, but also insights and action.

In the Coordination Age, there is unlikely to be a single dominant coordinator for most ecosystems. While telecoms operators may not have all the capabilities and assets to play an important coordination role, especially compared to the Internet giants, they do have the advantage of being regulated and trusted in their local markets. This presents new opportunities for telecom operators in industries with stronger national boundaries. As such, there is a role for telcos to play in other parts of the value chain which will ultimately enable them to unlock new revenue growth (e.g. TELUS Health and Elisa Smart Factory).

New purpose, new role

The Coordination Age has added increased complexity and new B2B2X business model challenges for operators. They are no longer the monopolies of the past, but one of many important players in an increasingly ecosystem-based economy. This requires telcos to take a different approach: one with new purpose, culture, and ways of working. To move beyond purely connecting people and devices to enabling coordination, telcos will need a fundamental shift in vision. Management teams will need to embrace a new corporate purpose aligned with the outcomes their customers are looking for (i.e. greater resource efficiency), and drive this throughout their organisations.

Historically, operators have served all customers – consumers, small and medium-sized enterprises (SMEs), larger enterprises from all verticals and other operators – with a set of horizontal services (voice, messaging, connectivity).  If operators want to move beyond these services, then they will need to develop deep sector expertise. Indeed, telcos are increasingly seeking to play higher up the value chain and leveraging their core assets and capabilities provides an opportunity to do so.

However, in order to drive new revenues beyond connectivity and add value in other parts of the solution stack, telcos need to be able to select their battles carefully because they do not have the scale, expertise or resources to do it all.

Figure 2: Potential telco roles beyond traditional connectivity

Source: STL Partners

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Clearer on the vision, unclear on the execution

Many telcos have a relatively clear idea of where they want to drive new streams of revenue beyond traditional connectivity services. However, they face various technical, strategic and organisational challenges that have inhibited this vision from reaching fruition and have unanswered questions about how they can overcome these. This lack of clarity is further evident by the fact that some telcos have yet to set explicit revenue targets or KPIs for non-connectivity revenue, and those that have set clear quantifiable objectives struggle to define their execution plan or go-to-market strategy. Even operators that have been most successful in building new revenue streams, such as TELUS and Elisa, do not share targets or revenues for their new businesses publicly. This is likely to protect them from short-term demands of most telecoms shareholders, and because, even when profitable, they may not yet be seen as valuable enough to move the needle.

This report focuses not just on telco ambitions in driving B2B2X revenues beyond core connectivity and the different roles they want to play in the value chain, but more importantly on what strategies telcos are adopting to fulfil their ambitions. Within this research, we explore what is required to succeed from both a technological and organisational standpoint. Our findings are based on an interview programme with over 23 operators globally, conducted from June to August 2020. Our participant group spans across different operator types, geographies, and types of roles within the organisation, ensuring we gain insight into a range of unique perspectives.

In this report, we define B2B2X as a business model which supports the dynamic creation and delivery of new services by multiple parties (the Bs) for any type of end-customer (the X), whether they be enterprises or consumers. The complexity of the value chains within B2B2X models requires more openness and flexibility from party providers, given that any provider could be the first or second ‘B’ in the B2B2X acronym. This research is primarily focused on B2B2X strategies for serving enterprise customers.

In essence, our research is focused on answering the following key question: how can operators grow their B2B2X revenues when traditional core connectivity is in decline?

Table of Contents

  • Executive Summary
  • Introduction
    • The telecoms industry is looking to revive growth
    • New purpose, new role
    • Clearer on the vision, unclear on the execution
  • Beyond connectivity, but where to?
    • “Selling the service sandwich”
    • Horizontal play: Being the best application enabler
    • The vertical-specific digital services provider
    • There is no “best” approach: Some will work better for different operators in different situations
    • 5G is a trigger but not the only one
  • Accelerating the shift towards partnerships and ecosystems
    • Some operator ‘ecosystems’ look more like partnerships
    • Not all telcos define ‘ecosystems’ the same way
    • Most telcos focusing on ecosystems want to orchestrate and influence the proposition
    • Many see ecosystems as a key potential route but ecosystems come with new requirements
  • The market is ripe for telco ecosystems
    • The interest in network intelligence is not new but this time is different
    • Telcos can provide unique value by making their networks more accessible
    • But so far, telcos have not fully embraced this vision yet
  • Conclusions and recommendations

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The IoT money problem: 3 options

Introduction

IoT has been a hot topic since 2010, but despite countless IoT initiatives being launched questions remain about how to monetise the opportunity.

This report presents:

  • A top-level summary of our thinking on IoT so far
  • Examples of 12 IoT verticals and over 40 use-cases
  • Case-studies of four telcos’ experimentation in IoT
  • Three potential roles that could help telcos monetise IoT

Overview

In the early days of the IoT (about five years ago) cellular connectivity was expected to play a major role – Ericsson predicted 50 billion connected devices by 2020, 20 billion of which would be cellular.

However, many IoT products have evolved without cellular connectivity, and lower cost connectivity solutions – such as SIGFOX – have had a considerable impact on the market.

Ericsson now forecasts that, although the headline number of around 50 billion connected devices by 2020 will remain the same, just over 1 billion will use cellular.

Despite these changes IoT is still a significant opportunity for telcos, but they need to change their IoT strategy to become more than connectivity providers as the value of this role in the ecosystem is likely to be modest.

Mapping the IoT ecosystem

The term IoT describes a diverse ecosystem covering a wide range of different connectivity types and use-cases. Therefore, to understand IoT better it is necessary to break it down into horizontal layers and vertical segments (see Figure 1).

Figure 1: A simplified map of the IoT ecosystem

Source: STL Partners

We are seeking input from our clients to shape our IoT research and have put together a short survey asking for your thoughts on:

  • What role telcos can play in the IoT ecosystem
  • Which verticals telcos can be successful in
  • What challenges telcos facing in IoT
  • How can STL support telcos developing their IoT strategy

To thank you for your time we will send you a summary of the survey results at the end of June 2017.

…to access the other 28 pages of this 31 page Telco 2.0 Report, including…

  • Introduction
  • Mapping the IoT ecosystem
  • Overview
  • Mapping the IoT ecosystem
  • IoT: A complicated and evolving market
  • Telcos are moving beyond connectivity
  • And use cases are increasing in complexity
  • IoT verticals – different end-customers with different needs
  • 12 examples of IoT verticals
  • What connectivity should telcos provide?
  • Four examples of IoT experimentation
  • Case study 1: AT&T: Vertically-integrated ecosystem architect
  • Case study 2: Vodafone: a ‘connectivity plus’ approach
  • Case study 3: SK Telecom: ecnouraging innovation through interoperability
  • Case study 4: Deutsche Telekom AG: the open platform integrator
  • Three potential monetisation strategies
  • Ecosystem orchestrator
  • Vertical champion
  • Trust broker
  • Conclusions

…and the following figures…   

  • Figure 1: A simplified map of the IoT ecosystem
  • Figure 2: Telcos moving beyond connectivity
  • Figure 3: IoT use cases are increasing in complexity
  • Figure 4: Use cases in manufacturing
  • Figure 5: Use cases in transportation
  • Figure 6: Use cases in utilities
  • Figure 7: Use cases in surveillance
  • Figure 8: Use cases in smart cities
  • Figure 9: Use cases in health & care
  • Figure 10: Use cases in agriculture
  • Figure 11: Use cases in extractive industries
  • Figure 12: Use cases in retail
  • Figure 13: Use cases in finance
  • Figure 14: Use cases in logistics
  • Figure 15: Use cases in smart home / building
  • Figure 16: Connectivity complexity profile for pay-as-you-drive insurance and rental services
  • Figure 17: Telco opportunity for deep learning pay-as-you-drive insurance and rental services

The IoT ecosystem and four leading operators’ strategies

The IoT ecosystem

The term IoT is used to describe a broad and diverse ecosystem that includes a wide range of different connectivity types and use-cases. Therefore, it is not helpful to discuss the IoT ecosystem as a whole, and to understand IoT better it is necessary to break it down into horizontal layers and vertical segments.

Figure 1: A simplified map of the IoT ecosystem

Source: STL Partners


The five horizontal layers in the figure above are essential elements common to all IoT use-cases, regardless of vertical segment, and comprise:

  1. Sensors or controllers (embedded in connected devices, the “things” in the Internet of Things)
  2. A gateway device to aggregate and transmit data back and forth via the data network.
  3. A communications network to send data.
  4. Software for analysing and translating data.
  5. The end application service.

Perhaps surprisingly we have not included ‘IoT platforms’ as a horizontal layer in its own right.  IoT platforms are designed to organise, analyse, and (in some cases) act upon the data from connected devices. Because there can be differences in platform capabilities from vendor to vendor, a platform horizontal layer has not been included in this analysis. Depending on the platform, it will be designed to deliver any combination of horizontal layers 3, 4, and 5.

Level 5 – the end application service – is where material differences exist between vertical segments. Because IoT is a young market new use-cases are still emerging and existing use-cases are still evolving. The IoT ecosystem is not static and will continue to change, grow, and develop, and could look quite different in the next ten years. However, several distinct IoT vertical markets – sometimes described as ecosystems in their own right – are already emerging. These include:

  1. Smart and connected cities.
  2. Connected vehicles.
  3. Industrial IoT (including smart manufacturing).
  4. Smart home.
  5. Smart healthcare.
  6. Smart agriculture.

Within each of these six verticals there are several use-cases, and each vertical is developing and evolving new ones all the time. Figure 2 shows examples of use-cases either currently in use or under development in each vertical.

Figure 2: IoT vertical markets and use cases

Source: STL Partners

The complexity and technical requirements of each use-case varies widely. For example, the requirements of a smart thermostat compared to those of an autonomous vehicle are distinctly different. The next section of this report will provide an overview of the different technologies enabling IoT, followed by a section providing analysis of the technological requirements of several use-cases to illustrate how the IoT ecosystem will be enabled by not just one, but several different connectivity technologies.

 

  • Executive Summary
  • Introduction
  • Methodology
  • The IoT ecosystem
  • Six key technologies enabling IoT
  • 1. Cloud computing
  • 2. Low-power wide-area technologies
  • 3. Big data analytics
  • 4. Network function virtualisation (NFV) and software-defined networking (SDN)
  • 5. 5G
  • 6. Edge computing
  • Will one connectivity technology be dominant?
  • Use-case one: Smart metering
  • Use-case two: Autonomous driving
  • Use-case three: Smart thermostat
  • Use-case four: Smart home security system
  • How will IoT use-cases evolve?
  • Telcos’ role in the IoT ecosystem
  • The IoT value chain
  • AT&T: the ambitious ecosystem orchestrator
  • Vodafone: a ‘connectivity plus’ approach
  • SK Telecom: connectivity via multiple technologies
  • Deutsche Telekom AG: the open platform integrator
  • Adapting for evolution

 

  • Figure 1: A simplified map of the IoT ecosystem
  • Figure 2: IoT vertical markets and use-cases
  • Figure 3: The role of ‘network slicing’ in IoT
  • Figure 4: The role of Edge Computing in IoT
  • Figure 5: Complexity profile criteria ratings
  • Figure 6: Smart metering complexity profile
  • Figure 7: Autonomous driving complexity profile
  • Figure 8: Smart thermostat complexity profile
  • Figure 9: Smart home security system complexity profile
  • Figure 10: IoT use-case evolution
  • Figure 11: Telco’s original role in the IoT ecosystem
  • Figure 11: Telco’s current role in the IoT ecosystem

Telco 2.0: Making Money from Location Insights

Preface

The provision of Location Insight Services (LIS) represents a significant opportunity for Telcos to monetise subscriber data assets. This report examines the findings of a survey conducted amongst representatives of key stakeholders within the emerging ecosystem, supplemented by STL Partners’ research and analysis with the objective of determining how operators can release the value from their unique position in the location value chain.

The report concentrates on the Location Insight Services (LIS), which leverage the aggregated and anonymised data asset derived from connected consumers’ mobile location data, as distinct from Location Based Services (LBS), which are dependent on the availability of individual real time data.

The report draws the distinction between Location Insight Services that are Person-centric and those that are Place-centric and assesses the different uses for each data set.

In order to service the demand from specific use cases as diverse as Benchmarking, Transport & Infrastructure Planning, Site Selection and Advertising Evaluation, operators face a choice between fulfilling the role of Data Supplier, providing the market with Raw Big Data or offering Professional Services, adding value through a combination of location insight reports and interpretation consultancy.

The report concludes with a comparative evaluation of options for operators in the provision of LIS services and a series of recommendations for operators to enable them to release the value in Location Insight Services.

Location data – untapped oil

The ubiquity of mobile devices has led to an explosion in the amount of location-specific data available and the market has been quick to capitalise on the opportunity by developing a range of Location-Based Services offering consumers content (in the form of information, promotional offers and advertising). Industry analysts predict that this market sector is already worth nearly $10 billion.

The vast majority of these Location Based Services (LBS) are dependent on the availability of real time data, on the reasonable assumption that knowing an individual’s location enables a company to make an offer that is more relevant, there and then.  But within the mobile operator community, there is a growing conviction that a wider opportunity exists in deriving Location Insight Services (LIS) from connected consumers’ mobile location data. This opportunity does not necessarily require real time data (see Figure 9). The underlying premise is that identification of repetitive patterns in location activity over time not only enables a much deeper understanding of the consumer in terms of behaviour and motivation, but also builds a clearer picture of the visitor profile of the location itself.

Figure 1:  Focus of this study is on Location Insight Services
Focus of this Study on Location Insight Services

  • As part of our Telco 2.0 Initiative, we have surveyed a number of companies from within the evolving location ecosystem to assess the potential value of operator subscriber data assets in the provision of Location Insight Services. This report examines the findings and illustrates how operators can release the value from their unique position in the location value chain.

Location Insight Services is a fast growing, high value opportunity

The demand is “Where”?

For operators to invest in the technology and resources required to enter this market, a compelling business case is required. Firstly, various analysts have confirmed that there is a massive latent demand for location-centric information within the business community to enable the delivery of location-specific products and services that are context-relevant to the consumer. According to the Economist Business Unit, there is a consensus amongst marketers that location information is an important element in developing marketing strategy, even for those companies where data on customer and prospect location is not currently collected.3

Figure 2: Location is seen as the most valuable information for developing marketing strategy
Location is seen as the most valuable information for developing marketing strategy

Source: Mind the marketing gap – A report from Economist Business Intelligence Unit

Scoping the LIS opportunity by industry and function

In order to understand the market potential for Location Insight Services, we have considered both industry sectors and job functions where insights derived from location data at scale improve business efficiencies. Our research has suggested that Location Insight Services have an application to many organisations that are seeking to address the broader issue of how to extract the benefits concealed within Big Data.

A recent report from Cisco concentrating on how to unlock the value of digital analytics suggested that Big Data has an almost universal application and

“Big Data could help almost any organization run better and more efficiently. A service provider could improve the day-to-day operations of its network. A retailer could create more efficient and lucrative point-of-sale interactions. And virtually any supply chain would run more smoothly. Overall, a common information fabric would improve process efficiency and provide a complete asset view.” 

Our research suggests that the following framework facilitates understanding of the different elements that together comprise the market for non-real time Location Insight Services.

The matrix considers the addressable market by reference to vertical industry sectors and horizontal function or disciplines.

We have rated the opportunities High, Medium and Low based on a high level assessment of the potential for uptake within each defined segment. In order to produce an estimate of the potential market size for non-real time Location Insight Services, STL Partners have taken into account the current revenue estimates for both industry sectors and functions.

Figure 3:  Location Insight Market Overview (telecoms excluded)
Location Insight Services Market Taxonomy

Report Contents

  • Preface
  • Executive Summary
  • Location data – untapped oil
  • Location Insight Services is a fast growing, high value opportunity
  • Scoping the LIS opportunity by industry and function
  • Location Insight Services could be worth $11bn globally by 2016
  • Which use cases will drive uptake of LIS?
  • Use cases – industry-specific illustrations
  • How should Telcos “productise” location insights services?
  • Operators are uniquely placed to deliver location insights and secure a significant share of this opportunity
  • What is the operator LIS value proposition?
  • Location insight represents a Big Data challenge for Telcos.
  • There is a demand for more granular location data
  • Increasing precision commands a premium
  • Meeting LIS requirements – options for operators
  • What steps should operators take?
  • Methodology and reference sources
  • References
  • Appendix 1 – Opportunity Sizing
  • Definition
  • Methodology

 

  • Figure 1: Focus of this study is on Location Insight Services
  • Figure 2: Location is seen as the most valuable information for developing marketing strategy
  • Figure 3: Location Insight Market Overview (telecoms excluded)
  • Figure 4: The value of Global Location Insight Services by industry and sector (by 2016)
  • Figure 5: How UK retail businesses use location based insights
  • Figure 6: Illustrative use cases within the Location Insights taxonomy
  • Figure 7: How can Telcos create value from customer data?
  • Figure 8: Key considerations for Telco LIS service strategy formulation
  • Figure 9: Real time service vs. Insight
  • Figure 10: The local link in global digital markets
  • Figure 11: Customer Data generated by Telcos
  • Figure 12: Power of insight from combining three key domains
  • Figure 13: Meeting LIS Requirements – Options for Operators

Online Video Distribution Market Study

Options and Opportunities for Distributors in a time of massive disruption


Summary: As online video challenges traditional distribution models, both old and new suppliers are pushing into the value chain in the hope of grabbing a share of the emerging global market. But how will the market develop and which companies will be the ultimate winners?

STL Partners has analysed the potential of online video, identified possible market winners and losers, and set out three interlocking scenarios depicting the evolution of the market. In each scenario, the role of distributors is examined, possible threats and opportunities revealed, and strategic options are discussed. (March 2009)

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This report is now availalable to members of our Telco 2.0 Research Executive Briefing Service. Below is an introductory extract and list of contents from this strategy Report that can be downloaded in full in PDF format by members of the executive Briefing Service here. 

For more on any of these services, please email contact@telco2.net/ call +44 (0) 207 247 5003 

Key Points

  • Market background, size and dynamics
  • Differences in, and lessons from, different geographies
  • Analysis of prospects by content type: movies, sport, music, adult and user-generated
  • Hulu Vs YouTube: Comparative business model analysis
  • Market forecasts for revenues related to online and mobile video
  • Evolving market scenarios
  • Positioning to maintain / develop advantages in scenarios
  • Recommends specific short, medium and long term actions for moving forward

Who is this report for?

The study is an invaluable guide to managers across the TV and video value chain who are seeking insight into how the online market will develop and the opportunities and threats it presents.

CxOs, Strategists, Product Managers, Investors, Operational Managers in Telecom’s Operators, Broadband Service Providers and ISPs, Media Companies, Content Aggregators and Creators.

Key Questions Answered

  • How will the online video market develop and what are the implications for value chain players?
  • Are there historical lessons (from cinema and TV) from which to learn?
  • Which content categories will be most affected by the shift online?
  • What is the best strategy for distributors and aggregators to maximise chances of success?

Background – Online Video: the Growing Bulge in the Fat Pipe

All recent data point towards video being the fastest growing segment of all internet traffic and the trend looks set to continue for the foreseeable future. This is true whichever metric is used: absolute number of viewers, total time spent viewing, data traffic volumes.

Growth is not limited to a content category: adult, sports, movies and music are all rapidly moving online. The internet has also led to a completely new category: User Generated Content – home movies have moved out of the privacy of the living room and are becoming more and more professional.

Growth is also not limited to a specific geography: the movement online is a worldwide phenomenon. The internet has no respect for traditional geographies and boundaries.

Overall, the evidence points towards a future where the internet will be a critical distribution channel for all forms of video.

The New Distribution is disruptive and no longer centrally controlled

Innovation in Video Distribution is nothing new and over the last century we have seen cinema, broadcast networks and physical media creating temporary shocks to older methods of distributing content – but the older methods survive.

However, there is only a certain amount of time in the day available for entertainment in general and watching video specifically. Legacy distribution channels are understandably worried about whether video online will be additive to or cannibalise their audiences, and our survey respondents largely share this view.

More Growth + Less Control = More Unpredictability

Positively, individuals have generated their own content and made it available to the world. Negatively, some individuals have used interactivity to distribute content without regard of the rights of the copyright holders. Copyright holders have struggled to enforce their rights. Illegal distribution of content not only threatens the absolute value of content, but has lead to unpopular and complicated mechanisms to protect content.

The absolute volume growth has also placed the internet access providers under severe strain: attempting to increase prices to compensate for the growth in traffic and gain extra revenue through developing additional services is proving very difficult.

These forces have generated a considerable amount of experimentation in the market especially in the area of pricing models: subscription, pay-as-you-go, advertising funded, bundles with other distribution channels and offset/subsidy – all exist in a variety of forms.

How & why is the current model broken?

The net result is the video market is in a state of flux and increasing tension as key players explore their positions. Will order emerge from the chaos? In what form will this new order take? What will be impact on the existing players in the video value chain? And, will powerful new players emerge?

How can it be fixed?

We believe that Video Distribution on the internet will reshape the value chain and the current forces point towards great uncertainty in the short term. In these circumstances, the key step is to explore possible future scenarios to assess their viability and robustness in the face of change.

Case Studies, Companies and Services, and Technologies & Applications Covered

Case Studies: Apple, Hulu, Phreadz, YouTube.

Companies and Organisations Covered: 3 UK, AllOfMP3.com, Amazon, AOL Music, Apple, Babelgum, Barnes & Noble, BBC, BBC iPlayer, Bebo, Bit Torrent, Black Arrow, BlipTV, Blockbuster, BT, BT Openreach, BT Vision, Comscore, Del.icio.us, Deutsche Telecom, Deutsches Forschungsnetz (DFN), Diggnation, Digital Entertainment Content Ecosystem (DECE), eMarketer, EMI, European Union, Eurosat, Facebook, Flickr, Flickr, Forbes, Frost & Sullivan, Gartner, Google, Hanaro, Hitwise, Hulu, iBall, IBM, Imagenio, International Movie Database (IMDB), Joost, KDDI, Korea Times, KT+A94, Lenovo, London Business School, MGM, Mobilkom Austria, Mobuzz, MP3Sparks, MSN Music, MTV, MySpace, Napster, National Information Society Agency (NISA), NBC, Net Asia Research, Netflix, NewTeeVee, NicoNicoDouga, Nielsen SoundScan, Nintendo, Now, NTT DoCoMo, Ofcom, Orange, Phorm, Phreadz, Powercomm, Qik, Recording Industry Association of America (RIAA), Revision 3, Screen Digest, Seesmic, Seskimo, Silicon Valley Insider, Sky, Softbank, Sony, The Guardian, T-Mobile, Tremor Media, UK Football Premier League, Verizon, Video Egg, Virgin Media, Vivid, Walmart, Web Marketing Guide, Wikipedia, World Intellectual Property Organisation (WIPO), Yahoo, YouPorn, YouTube.

Technologies & Applications Covered: 3G, 3GP, AAC, Adobe Flash, AMR, Android, Apple Quicktime, Apple TV, AVI, Batrest, BBC iPlayer, Beacon, Betamax, Broadband, CD, Cinema, DivX, DOCSIS 2.0, DOCSIS 3.0, DRM, DSL, DVD, Ethernet to the home, Fibre to the home, Final Cut HD/Pro/Studio, FLV, FON WLAN, Fring, GIF, H.264, H.264/AVC, HSDPA, iDVD, iMovie, Iobi, IP, iPhone, iPod, IPTV, iTunes, JPEG, Linux, MOV, MP3, MP4, MPEG, MPEG-2 SD, MPEG4, MPEG-4, NVOD, OGG, P2P, PAL, PNG, PopTab, P2P, RM, RMVB, Scopitones, Sky +, Slingbox, Soundies, TiVo, TV, VCR, VHS, Video over IP, VOB, VOD, WiFi, W-LAN, WMV, XviD.

Markets Covered and Forecasts Included

Markets Covered: Global, US, Canada, UK, France, Germany, Italy, Hungary, Spain, Sweden, Finland, Japan, South Korea.

Forecasts Included: Online Video Vs Cinema & TV 2012, Global TV, Video and Cinema to 2018, Online Video Subscription and Advertising Revenues, Pro-Tail content advertising forecasts, Mobile TV and Video 2013.

Summary of Contents

  • Introduction
  • Executive summary
  • Part 1: Online video – the situation today
  • Part 2: Future scenarios
  • Part 3: Evolution of specific media genres
  • Part 4: Mobile evolution
  • Part 5: Geographical differences

The Research Process

The research evaluates the likelihood of three scenarios: Old Order Restored, Pirate World and New Players Emerge. Each of which paints a picture of the future entertainment industry in terms of: technology developments; consumer behaviour; service uptake and usage.

The research is based on comprehensive literature reviews, industry research and interviews with key staff from relevant organizations that shed insight on the needs and dynamics of the key players. Key Case Studies bring the story to life and provide a context for both successes and failures. An economic model of the resultant value chain is produced for each of the scenarios with analytical commentary.

Research Format
  • 130+ page manuscript document

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