Skip to main content

Video Services Key Growth Area for 2006

According to Parks Associates, video services will be a significant area of growth in 2006, and technologies that match this content with trends toward personalization and interactivity will be important precursors to the future of digital services.

"At 2006 International CES, people should definitely look for solutions that enable new and unique on-demand content services," said Harry Wang, analyst at Parks Associates. "The technologies that fulfill the service requirements for the new standards in interactivity will see a lot of success in 2006."

Over the next few years, video-on-demand (VOD) will become the service differentiator for U.S. carriers, and by 2009, the average video revenue per subscriber will be $163 per month, up from $87 per month in 2005, according to Parks Associates.

"Some major service providers will unveil IPTV services in 2006," said John Barrett, director of research for Parks Associates. "IPTV providers will further intensify competition in the TV market by introducing more flexible service models that combine choice and convenience."

At 2006 International CES, Parks Associates is hosting a special pre-show workshop, Portable Players, Bundled Services, & the Global Landscape, on January 4, 2006, as a CES primer.

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...