1.0 Report Summary
1.1 Report Purpose and Scope
1.2 Research Approach/Sources
2.0 Executive Summary
3.0 The Need for Personalization
4.0 The Hierarchy of Personalization
5.0 The Impact of Personalization
6.0 The Elements of Personalization
6.1 Identification—Who is the User
6.1.1 Manual Authentication
6.1.2 Automatic Identification
6.1.3 Security Token Authentication
6.1.4 Biometric / Voice-based Authentication
6.1.5 Federated Authentication / Single Sign-On
6.1.6 Identity / Authentication Technology Vendors
6.2 Profiling—Understanding the User
6.2.1 Collecting Personal Data
6.2.2 Privacy, Security, and Personalization
6.2.3 Profiling / Data Security Technology Vendors
6.3 Application—Serving the User
6.3.1 The Increasing Use of Artificial Intelligence (AI)
6.3.2 The Continued Evolution of Metadata
6.3.3 Personalization Spotlight: Netflix
6.3.4 Personalized Application Technology Vendors
7.0 Forecast
7.1 Forecast Methodology
7.2 Forecast
8.0 Implications and Recommendations
9.0 Appendix
9.1 Glossary
9.2 Index
9.3 Image Sources

Contributing Companies
The Hierarchy of Entertainment Personalization
Elements of Entertainment Personalization
Identity/Authentication Technology Vendors
Consumer Concerns about Data Privacy
Interest in Privacy-related Services
Profile / Data Security Technology Vendors
Awareness of Pay-TV Discovery Features
Personalized Application Technology Vendors
Global Forecast Methodology for Personalized Content Discovery in Pay TV
Global Forecast - Subscribers Receiving Personalized Discovery via Pay-TV Service
Global Forecast - Penetration of Personalized Discovery among Pay-TV Subscribers