Nokia Networks, Microsoft Elata and Motricity Are Best Positioned Vendors -- Strategy Analytics released, "Mobile Content Delivery Platforms: Search for Value-Add and Scale as Solutions Commoditize." This report concludes that network operators are now more concerned with the commercial aspects of content provisioning as the majority of the technical problems have been solved and little functional differentiation exists between the competing platforms. As the content market matures, the number of content retailers will proliferate, making it a growing target segment for platform vendors. However, Philip Taylor, a Director in the Strategy Analytics Global Wireless Practice, notes, "Increasingly, purchase decisions will be made by operators on the basis of a variety of commercial factors including the business objective of the operator, the compatibility of the delivery platform with existing administration systems, the financial stability of the platform vendor and the strength of the platform vendor's partnerships with other IT Services companies. Outside of this, the ability to offer value added services, such as Campaign Management will also make a difference to vendors competing for operator business."
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 ...