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Market Research Report

Optimising Business Models for Online Video

Published by Ovum, Ltd.
Published September, 2009 Product code 101073
Content info 60 pages
Price
US $ 3495 PDF by E-mail (Single User License)
US $ 8738 PDF by E-mail (Global Site License)


Optimising Business Models for Online Video published by Ovum, Ltd. in September, 2009. This report consists of 60 pages and the price starts from US $ 3495.

Introduction

Abstract

Making money from online video is proving difficult, because audiences have not yet reached a critical mass that can generate profits from transactional or ad-supported business models; a situation exacerbated by content acquisition problems and the slow adoption of connected television devices. This report uses insights drawn from Ovum' s consumer video trends survey to derive a set of possible business models and optimisation recommendations for online video services.

Table of Contents

  • Executive summary
  • In a nutshell
  • Key messages
  • Media giants demand payment for valuable content
  • Monetisable audiences are too small
  • Understanding ‘free' is key to the value proposition
  • Advertising alone is not yet a sustainable business model
  • Widespread authentication is set to boost subscription
  • Paying will make consumers more demanding, but more loyal
  • Two top-level target consumers identified
  • Lower-risk business models found upstream in the value system
  • Recommendations for players
  • Close content partnerships are essential
  • Deliver online video to the TV set
  • Device integration provides competitive advantage
  • Flexible ‘freemium' model appeals to viewers and content providers
  • Background trends in online video
  • Strong growth in online viewing
  • Strong ad growth but from a small base
  • Monetisation of online video is proving difficult
  • Survey results: viewing trends by age and country
  • Online viewing varies considerably by age and country
  • Young watch frequently; middle-aged do not
  • Survey results: attitudes to payment
  • ‘Free' remains a big attraction
  • Viewing of online video would increase if it were free
  • Free content has many channels
  • Paying for online video downloads or streams
  • Online video is highly price-sensitive
  • US spends the most; France and Germany spend the least
  • Five patterns of video spending and viewing frequency
  • China and Korea
  • UK and Italy
  • Australia, Germany and Sweden
  • US
  • France
  • Renting video is price-sensitive
  • No significant variation in spending by gender
  • Factors reducing willingness to pay
  • Video downloads are too expensive
  • Content portability not an issue
  • A large minority appear to distrust their service provider
  • Movie blockbusters most likely to attract paying customers
  • Pay-per-view and download-to-own payment options required
  • Subscription is expected to grow despite consumers' lukewarm response
  • Survey results: advertising-supported online video
  • Advertising is not popular in videos of any format
  • More creativity needed in video ads to boost consumer engagement
  • Survey results: devices and content
  • TV is the preferred device for watching online video
  • Race for the TV set is driving innovation
  • Frequency of viewing online video by device
  • Downloading preferred but streaming gaining ground
  • Choice of video content
  • PC first choice for music video, adult and short clips
  • Hollywood blockbusters would drive more online viewing
  • Comedy and action genres most popular
  • Survey results: consumer experience
  • Quality of consumer experience
  • Viewing and sound quality most important features
  • Viewing location
  • Living room most popular location for viewing online video
  • Youngsters like watching in the bedroom
  • Optimising business models for online video
  • Business model structure for online video
  • Target consumer
  • Teen video-addicts
  • Young self-purchasers
  • Value proposition
  • Content features
  • Consumer experience features
  • Payment models
  • Special or unique features
  • Distribution channel
  • Device choice directly impacts business model design
  • Delivery networks must enable the consumer experience
  • Create an engaging customer relationship
  • Monetising revenue models and cost structures
  • Optimising the revenue model
  • Pay-per-view rental model
  • Strengths
  • Weaknesses
  • Opportunities
  • Threats
  • Download-to-own model
  • Strengths
  • Weaknesses
  • Opportunities
  • Threats
  • Subscription model
  • Strengths
  • Weaknesses
  • Opportunities
  • Threats
  • Ad-supported model
  • Strengths
  • Weaknesses
  • Opportunities
  • Threats
  • ‘Freemium' model
  • Strengths
  • Weaknesses
  • Opportunities
  • Threats
  • Content syndication model
  • Strengths
  • Weaknesses
  • Opportunities
  • Threats
  • Platform white-labelling model
  • Strengths
  • Weaknesses
  • Opportunities
  • Threats
  • Capital asset model
  • Strengths
  • Weaknesses
  • Opportunities
  • Threats
  • Infrastructure management
  • Value configuration
  • Core competences and scarce resources
  • Building special relationships and business alliances
  • Valuable technology IP
  • Enabling network effects
  • Subscription marketing and service bundling
  • Content production
  • Established consumer franchise
  • Other valuable integrated services
  • Installed base of devices
  • High-level example of an optimised business model
  • About our survey
  • Ovum' s consumer video trends survey
  • Survey sample
  • Number of respondents
  • Age and gender
  • Annual household income

List of Tables

  • Table 1: What type of on-demand content are you happy to pay for?
  • Table 2: Video content genres of any format ranked by country
  • Table 3: Features of a video service ranked by importance
  • Table 4: Income bands used in each country

List of Figures

  • Figure 1: Frequency of watching Internet video, by country
  • Figure 2: Watching Internet video several times a week, by age
  • Figure 3: The appeal of Internet video
  • Figure 4: Factors that would encourage more Internet video viewing
  • Figure 5: Internet video acquisition
  • Figure 6: Factors encouraging payment for Internet video
  • Figure 7: Amount spent per month watching video in any format
  • Figure 8: Spend of $5+ per month watching videos in any format at home
  • Figure 9: China and Korea: View several times a week online and spend $5+ per month on video of any format
  • Figure 10: UK and Italy: View several times a week online and spend $5+ per month on video of any format
  • Figure 11: Australia, Germany and Sweden: View several times a week online and spend $5+ per month on video of any format
  • Figure 12: US: View several times a week online and spend $5+ per month on video of any format
  • Figure 13: France: View several times a week online and spend $5+ per month on video of any format
  • Figure 14: Amount paid for video rental of any format
  • Figure 15: Male versus female: spend $5 or more a month on video of any format
  • Figure 16: Factors preventing payment for downloaded video
  • Figure 17: Preferred payment styles
  • Figure 18: Willingness to view adverts
  • Figure 19: Preferred advertising formats
  • Figure 20: Factors inhibiting Internet video viewing
  • Figure 21: Preference for TV over PC as viewing device
  • Figure 22: Preferred devices for Internet video viewing
  • Figure 23: Streaming versus downloading
  • Figure 24: Preferred content genre by device type
  • Figure 25: Content genres which would encourage Internet video uptake
  • Figure 26: Which content genres do you normally watch, by age? (1)
  • Figure 27: Which content genres do you normally watch, by age? (2)
  • Figure 28: Importance of video service features
  • Figure 29: Location of online video viewing, by country
  • Figure 30: Location of online video viewing, by age
  • Figure 31: Business model structure for online video
  • Figure 32: Two top-level target consumers
  • Figure 33: Value segment captured
  • Figure 34: Supporting organisational structures
  • Figure 35: Example: optimised business model for mobile online video
  • Figure 36: Number of respondents per country
  • Figure 37: Number of respondents by country and by age
  • Figure 38: Number of respondents by country and by gender
  • Figure 39: Number of respondents, by country and by income level
  • Figure 40: Number of respondents that did not disclose income, by country
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