TV Services: Pay TV in a Data-Driven World

  • ID: 4600445
  • Report
  • Region: Global, United States
  • 48 Pages
  • Parks Associates
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FEATURED COMPANIES

  • 605
  • BAMTech
  • Dativa
  • JumpTV
  • NTCA
  • Tegna
  • MORE

Pay-TV providers are increasingly facing online challengers that have extensive expertise in using data to define and drive their businesses as well as user experiences. Big data is the new field for competition, and developing more strategic methods to leverage collected data to improve services and revenues is critical for the pay-TV industry. This report focuses on the impact of big data on the pay-TV industry, both today and in the future, including profiles of major players.

Note: Product cover images may vary from those shown
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FEATURED COMPANIES

  • 605
  • BAMTech
  • Dativa
  • JumpTV
  • NTCA
  • Tegna
  • MORE

1.0 Report Summary
1.1 Purpose of Report
1.2 Key Burning Questions Addressed by This Research
1.3 Research Approach/Sources

2.0 The State of Pay TV

3.0 Pay TV and Data Use
3.1 Comparing Traditional and New Generation Use of Data
3.2 Regulation

4.0 The Value of Data in Pay TV
4.1 Types of Data
4.2 Quantifying Data’s Value
4.2.1 Utility
4.2.2 Cost
4.2.3 Impact

5.0 Consumer Attitudes about Data Use

6.0 Data Trends and Opportunities in Pay TV
6.1 Advertising
6.2 Content-Related Decisions
6.3 User Experience and Feature Design
6.4 Use of Artificial Intelligence/Machine Learning

7.0 Global Forecast of Pay-TV Subscriptions

8.0 Implications
8.1 Pay-TV Providers
8.2 Cable Networks/Content Producers
8.3 Technology Vendors

9.0 Appendix
9.1 Glossary
9.2 Index
9.3 Image Sources

Figures

  • Number of Available U.S. OTT Video Services, 2013-2018
  • Reason for Being a Pay-TV Service Detractor
  • Internal Perception and Use of Data: Traditional vs. New Generation Companies
  • Advantages and Challenges in Use of Data: Traditional vs. New Generation Companies
  • Summary Details of the Cable Communications Policy Act of 1984
  • Impact of Provider Actions on Consumer Confidence in Data Use
  • Consumer Perception of Data Protection
  • Consumer Perception of Data Value
  • Consumer Willingness to Share Data for Specific Uses
  • Perceptions Among Data-Sensitive Consumers
  • Perceptions Among Non-Data-Sensitive Consumers
  • Addressable Advertising Activity Among MVPDs
  • Share of Video Consumption on a Television
  • TV Services Forecast Methodology
  • Global Forecast: Pay-TV Subscriptions by Region (2017-2023)
  • Global Forecast: Pay-TV Subscriptions by Type (2017-2023)
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  • 605
  • Accedo
  • Accenture
  • Amino
  • ARRIS
  • AT&T
  • BAMTech
  • Brightcove
  • Cisco
  • Cogeco
  • Comcast
  • ContentWise
  • Dativa
  • Equifax
  • Ericsson
  • Gracenote
  • IBM
  • Irdeto
  • JumpTV
  • LiveRamp
  • Kaltura
  • MobiTV
  • NAGRA
  • NFL
  • NTCA
  • Ooyala
  • Plex
  • Roku
  • Samsung
  • Sling TV
  • Tegna
  • ThinkAnalytics
  • TiVo
  • Verimatrix
  • Verizon
  • Vewd
  • Viacom
  • Warner Bros
  • Wicket Labs
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