Skip to main content

U.S. Mobile Music Market Opportunity

Mobile music services � either in the form of downloadable music files or broadcast digital radio � have greater interest among US mobile customers than gaming, an application that is now providing some of the greatest mobile data revenue, reports In-Stat. However, the ecosystem that will permit widespread uptake of music applications is not yet mature, and shows signs of being put on hold until key issues, such as pricing, revenue sharing and Digital Rights Management (DRM), can be worked out.

"The window to catch a group of wireless users we call �Mobile Music Intenders' - those interested in mobile music services - may be closing soon," says David Chamberlain, In-Stat analyst. "They're ready to buy new handsets and they're willing to pay extra for handsets that play music. Without available music services or handsets, carriers may miss this opportunity to grab what could end up being a very lucrative mobile music market."

In-Stat found the following:

- Music Intenders are willing to pay extra for their mobile phones. Over one-fourth spent more than $150 for their current handset; more than two-thirds expect to buy new phones before the end of 2005.
- Overall, 34 percent of wireless subscribers surveyed are "somewhat", "very", or "extremely" interested in mobile music services.
- Survey respondents who could be classified as "MP3 Intenders" have a distinct demographic profile when compared with the general population. They are younger, male, prefer Sprint PCS and T-Mobile, and spend more on their handsets.

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...