Skip to main content

How Software Opens New Pay-TV Opportunities

Multimedia Research Group, Inc. (MRG) released its comprehensive study of the Multi-platform TV Middleware and Applications ecosystem.

According to the findings of their latest market study, pay-TV has been on a collision course with the Internet for more than a decade, but not only has online delivery not yet cannibalized pay TV revenues to any great extent, it also has created a variety of new revenue opportunities for facilities-based service providers.

"Generally speaking, consumers are growing to expect the same experience on the TV that they receive from the Internet, and vice versa," said Norm Bogen, MRG VP of Global Research.

From the content provider’s perspective, this must be done securely, in ways that respect existing content acquisition and distribution agreements.

Enter TV software and the technological advances required to enable new platforms.

Key findings from this market study included:
  • The 2010-2014 time-frame is a time of radical change, in which the very concept of TV is in flux.
  • IPTV technologies are mature and are continuing to evolve in response to and in anticipation of these changes.
  • Operators other than telcos are adopting technologies initially designed for telco IPTV.
  • Hybrid-IP TV delivery is now the norm.
  • Traditional (policy-managed) pay TV can now be blended seamlessly with Internet-sourced multimedia content.
  • Second-screen control has become commonplace.
  • The greatest barrier to second-screen viewing of the content itself is the content owner, not the technology.

Popular posts from this blog

The AI Application Integration Challenge

Artificial intelligence (AI) has rapidly become the defining force in business technology development, but integrating AI into applications remains a formidable challenge. According to a recent Gartner survey, 77 percent of engineering leaders identify AI integration in apps as a major hurdle for their organizations. As demand for AI-powered solutions accelerates across every industry, understanding the tools, the barriers, and the opportunities is essential for business and technology leaders seeking to evolve. The Gartner survey highlights a key trend: while AI’s potential is widely recognized, the path to useful integration is anything but straightforward. IT leaders cite complexities in embedding AI models into existing software, managing data pipelines, ensuring security, and maintaining compliance as persistent obstacles. These challenges are compounded by a shortage of skilled AI engineers and the rapid evolution of AI technologies, which can outpace organizational readiness and...