The value of mobile music services is set to double in the five years to 2010, by which time they will exceed $11 billion, according to Informa Telecoms & Media. Although the majority of revenue will still come from ringtones, the forecast growth in the ring-back tone and full track download sectors confirms the concept of the mobile phone as a credible music device. A large sector of both the mobile and the music industries have galvanised around mobile music and for the last year have been helping to progress this sector. Handset manufacturers are devoting significant energy into creating sophisticated music devices and operators have been busy rolling out advanced music download services. According to Simon Dyson, co-author of the report, �the growth of mobile music has been astounding, from a cottage industry making basic monophonic ringtones in 1998 to a multi-billion dollar global business on which the music industry is staking much of its future.� All of this activity might suggest that mobile music is in something of a bubble at present and indeed there remains a large number of issues which need to be resolved at all points in the value chain before mobile music can truly move beyond its current ringtone staple.
The global semiconductor industry is experiencing a historic acceleration driven by surging investment in artificial intelligence (AI) infrastructure and computing power. According to the latest IDC worldwide market study, 2025 marks a defining year in which AI's pervasive impact reconfigures industry economics and propels record growth across the compute segment of the semiconductor market. Semiconductor Market Development IDC’s latest data reveals an insightful projection: The compute segment of the semiconductor market is on track to grow 36 percent in 2025, reaching $349 billion. This segment, which encompasses logic chips powering CPUs, GPUs, and AI accelerators, will sustain a robust 12 percent compound annual growth rate (CAGR) through 2030. These numbers underscore not only current momentum but a structural shift driven by large-scale adoption of AI workloads spanning cloud, edge, and on-premises deployment models. The scale of investment is unprecedented. As organizations ...