As telecom operators push hard to roll out Internet Protocol (IP) television services worldwide, they face major roadblocks in the shape of licensing and franchising issues, according to new studies from ABI Research. On one side, content providers worry about the security of IP networks, which are certainly not immune to hacking. These concerns affect the license arrangements they must reach with telcos wishing to distribute their intellectual property. From another quarter, cable operators -- justifiably fearing Telco IPTV encroachment on their traditional turf -- are lobbying governments fiercely to ensure that the telcos pay the same sort of franchise fees and go through the same degree of legal bureaucracy that they do. According to ABI principal analyst, Michael Arden, "In the US, this means thousands and thousands of individual contracts. Overseas, with lower cable penetration and less stringent government regulations, it is often a smaller problem." A partial solution -- at least for those telcos that can access fiber-to-the-home networks -- is "RF overlay", in which the TV signals are sent down the fiber network in a format equivalent to that used by cable services themselves. RF overlay is "a next-best solution to get content to the market quickly."
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 ...