Point Topic estimates that over 11 million people were using a retail voice over IP (VoIP) service for at least some of their telephone calls at the end of March 2005. That�s an increase from just over 5 million at mid-2004 according to Point Topic research published in December 2004 and the Point Topic VoIP Application Source profiles in Broadband Money Makers. This number is based on a total of publicly available figures for VoIP subscribers, combined with estimates where subscriber numbers were not available. Many of these estimates are based on a conservative 10 percent growth from Q4 2004 to Q1 2005. The total does not include PC-based soft-client services like Skype and VoiceGlo. Of these 11 million, well over half, 7.2 million, are in Japan. Yahoo Softbank provides the majority of these services, and they come bundled with the broadband subscription. Users need to retain their standard line and pay line rental. This is a common feature with VoIP services, often driven by regulation surrounding emergency calls. So for many of the bundled VoIP subscribers (in numerical terms primarily in France and Japan), the VoIP service is essentially a second line that enables cheap or no-cost out-bound calls.
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 ...