Skip to main content

Evolution of Mobile TV Broadcasting Models

By the end of 2010, mobile TV broadcast subscribers worldwide will reach 102 million, a giant leap from 3.4 million in 2006, reports In-Stat.

Recognizing that using cellular networks to deliver content that millions want to watch simultaneously requires much greater bandwidth than is currently available, carriers are turning to mobile TV broadcast networks, which have a much lower cost per bit for video delivery, the high-tech market research firm says.

"The greatest challenge for mobile TV broadcast operators is to acquire the spectrum necessary to offer services," says Michelle Abraham, In-Stat analyst. "Spectrum availability may determine which of four standards is chosen, and also impacts the business case for the deployment of a network."

The In-Stat market study found the following:

- There are positives and negatives to each standard, but each has a vendor eco-system behind it to enable deployment today.
- 2005 was the year of the first deployments, with ongoing trials in many parts of the world.
- Mobile carriers, mobile TV network operators, and content providers will soon be testing business models to determine what mobile phone subscribers are willing to pay to watch and what advertisers are willing to pay to reach them.

Popular posts from this blog

How AI Impacts Data Workload Investment

The importance of data in today's business landscape fundamentally reshapes how CIOs invest in their IT infrastructure. A recent International Data Corporation ( IDC ) market study highlights this trend, revealing insights into spending patterns. The study indicates that structured database and data management workloads are the largest spending category within enterprise IT infrastructure. This is unsurprising, considering the foundational role these workloads play in managing digital business data. However, IDC's worldwide market study also sheds light on a noteworthy shift – spending in some categories witnessed a slight decline in 2023 compared to 2022. Data Workload Market Development This dip could be attributed to several factors. Organizations might optimize their existing data management processes, potentially leveraging more efficient storage solutions or cloud-based data management services. Additionally, the rise of alternative data sources, such as unstructured and