Home > Research > Internet Video

Internet Video

Market & Data Reports - 15/11/2008 Internet Video

Conditions of profitability

One thing is clear: Internet video will continue to expand and now constitutes a path for development and diversification for TV industry players. Timeshifted viewing is still only nascent and a great many players from inside and outside the television industry are gambling on a position in this market. After the first trials and rollouts, we have reached a consolidation phase where the issue of turning a profit is being raised. Up until now, only the sector’s leaders appeared capable of achieving a positive revenue/cost differential with their services (excluding committed costs).


Reference Language Support Nbr of page Price  
M83008 ukPDF 59 3500 Euros
1750 euros excl. VAT
order
M83008ukPDF 60 3500 Euros
1750 euros excl. VAT
order
Additional copy at 300 euros excl. VAT Euros
For immediate access, please select "Online access" and choose payment via PayBox

1. Online Video will become a Mass Market

1.1. IP video consumption skyrocketing
• USA, France, The UK
1.2. Video will continue to drive internet traffic growth
1.3. Picture quality and multi-platform offers

2. The Services
Case studies: strategies, audience, offer, business model, distribution mode

2.1. Short, mid and long tail
2.2 Catch-up TV- ABC
• BBC iPlayer
• Hulu
• M6 Replay
2.3 Premium VOD
• Apple
• Amazon Unbox
• Canalplay
• Netflix
• Video Marc Dorcel
2.4. Niche services or Web TV networks
2.5. Video portals
• YouTube
• Dailymotion
• Joost
• Veoh
2.6. Social networks
• MySpace

3. Technologies and Distribution Costs

3.1. Download, progressive download, streaming
3.2. Unicasting (transit)
• Solution
• Distribution costs
3.3. CDN (95th percentile, GByte)
• Solution
• Distribution costs
3.4. Multicasting
• Solution
3.5. P2P
• Solution
• Hybrid P2P
• Distribution costs

4. Revenue models

4.1. Advertising
• Advertising models for UGC video distribution sites
- Ad Banner or in-stream ads
- Ad revenue Sharing
• Advertising models for TV channels’ internet services
• Niche video sites: value hard to qualify
4.2. Fee-based models
• Coexistence of fee-based and ad-funded markets
• Premium channels cannot switch to a free model online
• DVDs dematerialization

5. Conditions of profitability
Simulations by type of service/player

5.1 Model construction
• Model hypotheses
• Outputs
5.2. Catch-up TV model, e.g. ABC, M6 Replay
• Hypotheses
- audience, content, revenue, distribution costs, personnel & administration
• Results
• Leverage effects
5.3. Premium VOD model, e.g. Canalplay, iTunes
• Hypotheses
- audience, content, revenue, distribution costs, personnel & administration
• Results
• Leverage effects
5.4. YouTube / Dailymotion type model
• Hypotheses
- audience, content, revenue, distribution costs, personnel & administration
• Results
• Leverage effects
5.5. Model benchmarks
• Income and costs per video
• Cost per hour of video
• Value-added per video

6. Guidelines

• Growth of video consumption
• Impact on the growth of IP traffic
• PPV and ad revenue and gross margin
• Costs and Peer-to-peer issues
• Differentiated results for the leading premium VOD, catch-up TV and UGC services
• How to improve the services’ economic equation
 
• Online video towards a mass market?

• What are the concrete consequences of a short, mid and long-tail approach?

• What are the key players offering in each category of service: catch-up TV, premium VOD, niche services, Web TV networks and video portals?

• What impact on the different revenue models: ad-funded, fee-based?

• What are the next stages in the development of UGC-based services?

• What impact the migration of services will have on the TV set?

• How profitable are the different types of service?

• What are the keys to improving the economic equation of these services?
 
The analysis of the conditions needed to achieve profitability presented in Chapter 5 are based on the results of a model developed by IDATE’s experts, the goal being to provide simulations by type of service and by type of player.

Economic modelling concerns three types of service:
• A premium VOD offer delivered only online, based on PPV revenue and using a content distribution network (CDN) architecture;
• A free, ad-funded catch-up TV offer delivered in streaming video, distributed over a CDN;
• A viral video platform, such as Dailymotion or YouTube, offering short videos, subsisting on in-stream or banner ads. Delivery is through a combination of CDN and peered unicasting.

Model hypotheses based on elements from the leading services:
• Usage data: number of unique visitors, page views, videos watched per month;
• Gross and net income elements: CPM, ads sells costs, payment to affiliate sites, unit prices, percentage of videos that can be monetised, revenue sharing;
• Distribution cost data including the size of the video file depending, its length, the nominal bandwidth per video, annual rates based on monthly volume/traffic commitments, hardware and storage costs including collocation services (racks and associated services), routers, traffic aggregators and the servers themselves;
• Last integrated cost items, sales/administration and general costs factored in as a set rate.

4 calculations provided:
• Gross profit (income net ad sales costs, revenue sharing – distribution costs, including bandwidth, hardware and server costs);
• Gross margin (gross profit divided by net income);
• Operating profits (gross profit – sales/administration and general costs);
• Costs and income per video and per 1,000 videos.

Sensitivity measurements are also performed to determine the conditions for the services’ profitability/improvement.


Top 
rss

News

Contact

Isabel JIMENEZ
Commercial Contact
P: +33 (0)467 144 404
F: +33 (0)467 144 400
E-mail

Download