Skip to main content

India and China will Drive Mobile TV Adoption

The latest market study by In-Stat identifies that the largest number of mobile TV subscribers and viewers will come from digital broadcast applications. This will be followed in numbers by analog broadcast viewers.

However, while cellular mobile TV subscribers will be lower, they could generate the majority of potential new service revenue, with over $15 billion in subscription revenue by 2014.

"Global 3G network development is driven by the popularity of data services such as social networking and texting," says Norm Bogen In-Stat analyst. "Mobile TV stands to leverage this demand."

To date, the market development of mobile TV has not kept pace with the prior analyst forecasts. The question remains, with the exception of brief news, weather and sports updates -- do mobile service subscribers need or want mobile television offerings?

Moreover, if most program offerings continue to mimic traditional TV formats and fail to adapt to the unique needs of mobile subscribers, then will the global market ever reach its full potential?

In-Stat's market study found the following:

- Cellular mobile TV subscribers will generate over $15 billion in subscription revenue by 2014.

- Mobile TV broadcasting standards remain fragmented by geographic region worldwide, with ATSC-M/H, CMMB, DMB, DVB-H, ISDB-T (1seg) and MediaFLO all finding deployments.

- Asia, primarily India and China, will drive mobile TV subscriptions.

Popular posts from this blog

Navigating AI Implementation Challenges in 2025

As we approach 2025, the global Artificial Intelligence (AI) market is poised for significant growth. Traditional AI spending is rising, while Generative AI (GenAI) struggles to meet lofty expectations. This apparent dichotomy presents challenges and opportunities for vendors and business leaders navigating the complex world of AI implementation. Let's explore the overall situation. Traditional AI: A Pragmatic Approach In the coming year, we expect to see a surge in traditional AI spending as enterprises seek pragmatic, ROI-driven solutions. This trend is driven by a growing recognition of the limitations and risks associated with GenAI projects, which have shown alarmingly high failure rates of 80 to 90 percent in proof-of-concept stages. The trend towards traditional AI is further supported by data from Amazon Web Services (AWS), which revealed that over 85 percent of AI projects in 2024 were not based on GenAI.  This insightful statistic underscores the continued relevance and ...