Skip to main content

Mobile Video Calling Revenue at $1 billion by 2015


Numerous attempts, since the early 1960s, have been made to develop and commercialize video telephony products and services. Most ventures have since proven to be unsuccessful.

However, with the launch of mobile devices featuring front-facing cameras and pre-loaded mobile calling applications, interest in making real-time video calls on mobile phones has reemerged.

In-Stat forecasts that mobile video calling revenue will exceed $1 billion by 2015.

"The market for mobile video calling is hardly new," says Frank Dickson, VP, Mobile Internet at In-Stat.

He adds, "What is new is implementing mobile video calling over IP in a significant way. Apple's launch of the iPhone 4 and Facetime marks the point at which the competition for mobile video calling dominance began in earnest. Apple's capability to revolutionize the mobile video calling market is very real and no one in the ecosystem wants to be left behind."

In-Stat's market study found the following:

- The number of mobile video calling users will grow at a 115 percent CAGR through 2015.

- Asia-Pacific will consume 53 percent of the mobile video calling minutes used by 2015.

- Mobile video calling participants of note include Apple, Fring, OoVoo, Qik and Skype.

- In 2015, mobile video calling will result in over 9 exabytes in data traffic in North America alone.

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...