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

Frontier AI Peaked. Here's What Comes Next

The prevailing narrative around artificial intelligence (AI) has been one of relentless scale. Bigger models, bigger clusters, bigger budgets. The assumption, largely unchallenged until recently, was that raw parameter count translated directly into competitive advantage. New research from Omdia suggests it's time to retire that assumption. According to the latest market study by Omdia, parameter growth in frontier AI models has slowed to around 5 percent annually since 2021, a stark contrast to the more than hundredfold expansion seen between 2019 and 2021. Enterprise AI Market Development For executives who have been making infrastructure and investment decisions based on the assumption that AI would keep demanding ever-larger, ever-more-expensive hardware, this finding deserves serious attention. The race to the top of the model size leaderboard has, at least for now, plateaued. Crucially, Omdia's analysts are not reading this as an AI winter. Alexander Harrowell, senior pri...
Read more