

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.

1.0ÌýÌýÌý Report Summary
1.1Ìý Purpose of Report
1.2Ìý Key Burning Questions Addressed by This Research
1.3Ìý Research Approach/Sources
2.0ÌýÌýÌý The State of Pay TV
3.0ÌýÌýÌý Pay TV and Data Use
3.1Ìý Comparing Traditional and New Generation Use of Data
3.2Ìý Regulation
4.0ÌýÌýÌý The Value of Data in Pay TV
4.1Ìý Types of Data
4.2Ìý Quantifying Data’s Value
4.2.1ÌýÌýÌýÌý Utility
4.2.2ÌýÌýÌýÌý Cost
4.2.3ÌýÌýÌýÌý Impact
5.0ÌýÌýÌý Consumer Attitudes about Data Use
6.0ÌýÌýÌý Data Trends and Opportunities in Pay TV
6.1Ìý Advertising
6.2Ìý Content-Related Decisions
6.3Ìý User Experience and Feature Design
6.4Ìý Use of Artificial Intelligence/Machine Learning
7.0ÌýÌýÌý Global Forecast of Pay-TV Subscriptions
8.0ÌýÌýÌý Implications
8.1Ìý Pay-TV Providers
8.2Ìý Cable Networks/Content Producers
8.3Ìý Technology Vendors
9.0ÌýÌýÌý Appendix
9.1Ìý Glossary
9.2Ìý Index
9.3Ìý Image Sources
List of 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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*If Applicable.