Revenue earned by consumer broadband value-added services (BVAS) more than doubled during 2004 -- At the beginning of the year it was running at an annual rate of about $3.3 billion worldwide. By the end of the year the figure was $6.9 billion. This is the first time it has been possible to estimate the growth of this new market, using the data provided by the second edition of Point Topic's report on The Consumer BVAS Market. The BVAS market is vitally important for service providers who need to find ways of increasing the revenue they receive from broadband services. The 2004 results are good news for them from this point of view. Most value-added services delivered over broadband increased in both users and total revenues. Services such as video over broadband, music and voice over IP (VoIP) all grew strongly. The increase in the run-rate of revenues was much steeper than the growth in the number of consumer broadband lines, which grew about 45 percent to 131 million, or in consumer broadband access revenues, which grew by about 22 percent to $39 billion. Price cuts by both DSL and cable operators resulted in revenues growing more slowly than the number of lines.
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 ...