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

The AI Application Integration Challenge

Artificial intelligence (AI) has rapidly become the defining force in business technology development, but integrating AI into applications remains a formidable challenge. According to a recent Gartner survey, 77 percent of engineering leaders identify AI integration in apps as a major hurdle for their organizations. As demand for AI-powered solutions accelerates across every industry, understanding the tools, the barriers, and the opportunities is essential for business and technology leaders seeking to evolve. The Gartner survey highlights a key trend: while AI’s potential is widely recognized, the path to useful integration is anything but straightforward. IT leaders cite complexities in embedding AI models into existing software, managing data pipelines, ensuring security, and maintaining compliance as persistent obstacles. These challenges are compounded by a shortage of skilled AI engineers and the rapid evolution of AI technologies, which can outpace organizational readiness and...