Consumer service revenues for telecom providers in the U.S. are expected to deteriorate over the next several years, falling to $106.7 billion in 2009 as decreasing revenues for voice services and dial-up outweigh revenue increases for both cable TV and broadband services, reports In-Stat. Broadband, however, will be a significant revenue growth generator, with market penetration growing from 28.6 percent of the population in 2004 to nearly 50 percent by the end of 2009. "The migration from dial-up to broadband is good news for service providers, as the monthly fees for broadband will remain substantially higher than for dial-up," says Amy Cravens, In-Stat analyst. "With $13.7 billion in broadband revenues in 2004 versus $10.9 billion in dial-up revenues, broadband has already outpaced dial-up as a revenue-generating opportunity." Total consumer spending on communication services, including local voice, long distance, cable TV, dial-up, and broadband was $114.8 billion in 2004. By 2009, broadband services will generate $15 billion more per year than dial-up. According to In-Stat's 2005 Consumer Telecom Survey, 35 percent of respondents currently purchase multiple services from a single provider.
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 ...