The Impact of Big Data on the Pay-TV Industry, 2018: Data Trends & Opportunities

DUBLIN, Sept. 28, 2018 /PRNewswire/ —

The “TV Services: Pay TV in a Data-Driven World” report has been added to’s offering.

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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.

Key Topics Covered

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

2. The State of Pay TV

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

4. 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. Consumer Attitudes about Data Use

6. 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. Global Forecast of Pay-TV Subscriptions

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

Companies Featured

  • 605
  • Accedo
  • Accenture
  • Amino
  • AT&T
  • Brightcove
  • Cisco
  • Cogeco
  • Comcast
  • Dativa
  • Equifax
  • Ericsson
  • Gracenote
  • IBM
  • Irdeto
  • JumpTV
  • LiveRamp
  • Kaltura
  • MobiTV
  • NFL
  • NTCA
  • Ooyala
  • Plex
  • Roku
  • Samsung
  • Sling TV
  • Tegna
  • TiVo
  • Verimatrix
  • Verizon
  • Vewd
  • Viacom
  • Warner Bros
  • Wicket Labs
  • and more…

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