Skip to main content

Online Music Service 2006 Outlook

Point Topic reports that 2005 was a big year for the online delivery of music. By October 2005, Apple�s iTunes service had sold 600 million tracks worldwide, and Apple had shipped over 30 million iPod music players by the end of the year. International music industry body the IFPI estimated that downloads accounted for around 6 percent of total music sales in the first half of 2005.

However, although music sites do not have the overheads of a physical music retailer, there are significant running costs involved. There are catalogues to build, involving complex negotiations with rights holders, often repeated for individual countries. And there are value-added features to create, such as band interviews, playlists or talkboards. This all takes investment.

So with these low margins, what does 2006 hold for the online music industry? In an area with such rapid growth, it is risky to make predictions. But 2005 showed that online music is a service that people want and will pay for, so the overall outlook is very positive. Even so, some consolidation of sites seems likely, reducing the current high number of online music providers.

Other possibilities might include a change in pricing structure, away from one price fits all, towards price segmentation -- lower pricing for some artists and higher pricing for premium artists or obscure hard-to-find content.

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...