Napster and Ericsson announced today a global partnership to offer the first complete, fully integrated digital music service available for mobile operators. The service will carry the universally known Napster brand and combine elements of Napster�s popular PC offering and Ericsson�s personalized music service, currently utilized by more mobile operators than any other in the world. The Napster and Ericsson business model accommodates mobile operator participation in all revenue streams. The service is scheduled to go live in Europe over the next 12 months and will initially be offered to operators in select markets in Europe, Asia, Latin America and North America. The new service will support coordinated wireless and PC downloading of digital music in both subscription and a la carte models, and phone-based initiation will ensure convenient and easy music library access for both mobile and PC usage. The service scales to current handset models and networks but can also accommodate next-generation technology for newer handsets on higher-speed networks and is designed to work on mobile phones from all major manufacturers that support content protected by digital rights management.
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 ...