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Subscriber Data Management: Driving Revenues and Loyalty with Networks, Analytics, Billing, and Rating Systems

Challenged to find growth, protect their customer bases and compete against swift Internet companies, MNOs are exploring ways to leverage their assets, primarily subscriber information, to create highly personalized mobile services.

In this study, ABI Research outlines the key elements MNOs must utilize to develop successful personalized services. The report describes ways to navigate the barriers that can obstruct services; it identifies the services that are and will be successful today and in the future, and includes profiles and critiques of 23 vendors which provide solutions for personalized services. Forecasts include MNO service revenue from personalized services, personalized services subscribers, and vendor revenue from the sale of service personalization equipment, software and services.

Table of Contents

  • Executive Summary: Top-Line Forecast
  • 1. Executive Summary
    • 1.1. Market Opportunity Overview
      • 1.1.1. MNOs' primary tools
      • 1.1.2. Personalized services to watch
    • 1.2. Market Drivers
      • 1.2.1. Demand Drivers
      • 1.2.2. Supply Drivers
    • 1.3. Barriers
      • 1.3.1. Demand Barriers
      • 1.3.2. Supply Barriers
    • 1.4. Forecasts
      • 1.4.1. Personalized Services Revenue
      • 1.4.2. Subscriber Adoption of Service Personalization
      • 1.4.3. Vendor Revenue, Service Personalization Equipment, Software, Services
  • 2. Conclusions and Recommendations
    • 2.1. For MNOs
      • 2.1.1. Conclusions
      • 2.1.2. Recommendations
    • 2.2. For Vendors
      • 2.2.1. Conclusions
      • 2.2.2. Recommendations
  • 3. Market Issues
    • 3.1. Fantasy World, Realities of Service Personalization
    • 3.2. Enablement Issues
      • 3.2.1. IMS
      • 3.2.2. Subscriber Data Management
      • 3.2.3. Real-time charging
      • 3.2.4. IMS: The Business Case
    • 3.3. Today's Personalized Mobile Services
      • 3.3.1. Services enabled by real-time billing
      • 3.3.2. Loyalty Programs
      • 3.3.3. Enhanced Customer Service
      • 3.3.4. Advanced Messaging
      • 3.3.5. Policy Management
      • 3.3.6. Customized Web
      • 3.3.7. Third party application development
    • 3.4. Tomorrow's Personalized Mobile Services
      • 3.4.1. Subscriber Self-Service
      • 3.4.2. Predictive program selection/program recommendations
      • 3.4.3. Cross-device personalization
      • 3.4.4. Mobile Advertising
      • 3.4.5. Broker to off-portal applications
      • 3.4.6. Network micro-segmentation
    • 3.5. Business Intelligence, Predictive Modeling
    • 3.6. Key Issue — Subscriber Privacy
    • 3.7. Identity Management
  • 4. Technology Issues
    • 4.1. The IMS Architecture
    • 4.2. Policy Decision Function
      • 4.2.1. IMS Real-Time Charging
      • 4.2.2. DIAMETER
      • 4.2.3. IMS Operation Support Services and Billing Support Services
  • 5. Key Industry Players
    • 5.1. MNOs
      • 5.1.1. 3 Austria
      • 5.1.2. AT&T Wireless
      • 5.1.3. Pelephone
      • 5.1.4. Sprint Wireless
      • 5.1.5. Subscriber Profile User Group
    • 5.2. Vendors
      • 5.2.1. Acision
      • 5.2.2. Airwide Solutions
      • 5.2.3. Alcatel-Lucent
      • 5.2.4. Amethon
      • 5.2.5. Bango
      • 5.2.6. Blueslice Networks
      • 5.2.7. Bridgewater Systems
      • 5.2.8. Carrier IQ
      • 5.2.9. Cisco Systems
      • 5.2.10. Comverse Technology Inc
      • 5.2.11. Ericsson
      • 5.2.12. Hewlett-Packard
      • 5.2.13. Huawei Technologies Co Ltd
      • 5.2.14. Nokia-Siemens Networks
      • 5.2.15. Openwave Systems Inc
      • 5.2.16. Quattro Wireless
      • 5.2.17. Redknee Inc
      • 5.2.18. Sybase 365
      • 5.2.19. Telcordia Technologies Inc
      • 5.2.20. Ventraq Inc
      • 5.2.21. VeriSign
      • 5.2.22. Xeround
      • 5.2.23. ZTE Corporation
  • 6. Market Forecasts
    • 6.1. Forecast Methodology
      • 6.1.1. Personalized Services Revenue
      • 6.1.2. Personalized Services Subscribers
      • 6.1.3. Vendor Revenue, Service Personalization equipment, software, services
    • 6.2. Market Forecasts
      • 6.2.1. Personalized Services Revenue
      • 6.2.2. Personalized Services Subscribers
      • 6.2.3. Vendor Revenue, Service Personalization Equipment, Software, Service
  • 7. Company Directory
  • 8. Acronyms

Charts

  1. Personalized Services Revenue, Total Market, Forecast by Service Type: 2008 to 2014
  2. Personalized Services Revenue, Total Market by Service Type, 2009
  3. Personalized Services Revenue, Total Market by Service Type, 2014
  4. Personalized Service Subscribers, By Region, 2008-2014
  5. Vendor Revenue, Service Personalization Equipment, Software, Services, Total Market by Segment, 2008
  6. Vendor Revenue, Service Personalization Equipment, Software, Services, Total Market by Segment, 2014
  7. Personalized Services Revenue, Total Market by Service Type, 2009
  8. Personalized Services Revenue, Total Market by Service Type, 2014
  9. Personalized Service Subscribers, By Region, 2008-2014
  10. Vendor Revenue, Service Personalization Equipment, Software, Services, Total Market by Segment, 2008
  11. Vendor Revenue, Service Personalization Equipment, Software, Services, Total Market by Segment, 2014

Figures

  1. IMS Overview
  2. IMS-Enabled Architecture
  3. IMS Charging Architecture
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Research Information

  • Price Log in to view pricing
  • Publish Date 2Q 2009
  • Research Type Research Report Report
  • Code RR-MSAN-09
  • Pages 58
  • Tables 16
  • Charts 11
  • Figures 3
  • File Formats Excel PDF (2)