Skip to main content

Asia Pacific Leading in Mobile Music Revenue

From almost nothing five years ago, the mobile music market in Asia-Pacific grew to $3.3 billion in 2005, and will reach $9.3 billion by 2010, reports In-Stat.

The breakthrough years for mobile music in Asia-Pacific will be 2007 and 2008. Growth drivers include large markets like China and India reaching a critical mass of mobile subscribers and 3G services becoming prevalent regionwide.

"Ringtones have been the primary driver for mobile music growth in the past, but this will change as new mobile phones equipped with digital music file playback capability create a new market," says Bryan Wang, In-Stat director. "As consumer preferences change, the future growth of the mobile music industry rests on ringback tones and full music tracks."

In-Stat's study found the following:

- The size of South Korea's mobile music industry has already surpassed the country's conventional music industry.

- China will soon assume prominence in the mobile music market, recording $2.8 billion in mobile music revenues by 2010, trailing only market leader Japan, which will have $3.4 billion in revenues in 2010.

- 60 percent of respondents to an In-Stat consumer survey indicated that they had a phone capable of some form of music playback.

Popular posts from this blog

AI Agents Have Memory. Where is The Security?

Enterprise AI adoption keeps running into the same wall: the moment sensitive data, model weights, or agent memory leave a tightly controlled environment, security teams lose visibility into what happens to them while the workload is actually running. Confidential computing exists to close that gap, and new research from ABI Research shows the technology has matured enough, across CPUs, GPUs, containers, and now agentic AI, to become a foundational requirement for enterprises building sovereign AI infrastructure: computing environments they control end to end rather than simply rent. Protection is Moving From CPUs to GPUs ABI Research finds that CPU-based confidential computing is closest to mass-market adoption, the product of years spent hardening chip-level isolation for general workloads. GPU-based confidential computing is now generating the strongest momentum, and for good reason. It addresses one of the largest unresolved gaps in AI security: protecting data and models while inf...