TV Services: Pay TV in a Data-Driven World
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. 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
9. APPENDIX
9.1 Glossary
9.2 Index
9.3 Image Sources
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
9. APPENDIX
9.1 Glossary
9.2 Index
9.3 Image Sources
LIST OF FIGURES
Figure 1: Number of Available U.S. OTT Video Services, 2013-2018
Figure 2: Reason for Being a Pay-TV Service Detractor
Figure 3: Internal Perception and Use of Data: Traditional vs. New Generation Companies
Figure 4: Advantages and Challenges in Use of Data: Traditional vs. New Generation Companies
Figure 5: Summary Details of the Cable Communications Policy Act of 1984
Figure 6: Impact of Provider Actions on Consumer Confidence in Data Use
Figure 7: Consumer Perception of Data Protection
Figure 8: Consumer Perception of Data Value
Figure 9: Consumer Willingness to Share Data for Specific Uses
Figure 10: Perceptions Among Data-Sensitive Consumers
Figure 11: Perceptions Among Non-Data-Sensitive Consumers
Figure 12: Addressable Advertising Activity Among MVPDs
Figure 13: Share of Video Consumption on a Television
Figure 14: TV Services Forecast Methodology
Figure 15: Global Forecast: Pay-TV Subscriptions by Region (2017-2023)
Figure 16: Global Forecast: Pay-TV Subscriptions by Type (2017-2023)
Figure 1: Number of Available U.S. OTT Video Services, 2013-2018
Figure 2: Reason for Being a Pay-TV Service Detractor
Figure 3: Internal Perception and Use of Data: Traditional vs. New Generation Companies
Figure 4: Advantages and Challenges in Use of Data: Traditional vs. New Generation Companies
Figure 5: Summary Details of the Cable Communications Policy Act of 1984
Figure 6: Impact of Provider Actions on Consumer Confidence in Data Use
Figure 7: Consumer Perception of Data Protection
Figure 8: Consumer Perception of Data Value
Figure 9: Consumer Willingness to Share Data for Specific Uses
Figure 10: Perceptions Among Data-Sensitive Consumers
Figure 11: Perceptions Among Non-Data-Sensitive Consumers
Figure 12: Addressable Advertising Activity Among MVPDs
Figure 13: Share of Video Consumption on a Television
Figure 14: TV Services Forecast Methodology
Figure 15: Global Forecast: Pay-TV Subscriptions by Region (2017-2023)
Figure 16: Global Forecast: Pay-TV Subscriptions by Type (2017-2023)
