According to MRG, the shift from MPEG-2 to MPEG-4 encoding and headend purchases is expected to begin in volume in the 2007 to 2008, meaning prolonged life for MPEG2 in IP TV systems. Moreover, the rise of IPTV content subscribers will drive an equally rapid installed based of IPTV video headends. Broadband service providers in the U.S., Asia, and Europe have announced or plan to announce deployments of IPTV-based content services, opening up opportunities for all video headend suppliers. One key forecast is that IPTV subscriber revenue will grow from about $400 million in 2004 to over $6 billion in 2008, meaning a substantial investment in content and infrastructure is fast approaching. Whether for SBC, Verizon, or BellSouth in the U.S., China Telecom in Asia, or France Telecom or Telefonica in Europe, IPTV video headend suppliers must help service providers compete in increasingly competitive markets. "IPTV vendors, in addition to offering unique and innovative services, have to use new technologies to achieve competitive advantages,' stated Gary Schultz, MRG principal analyst. "Yet the end-to-end value chain needs to remain price-sensitive to new adopters."
The growth trajectory of artificial intelligence (AI) enterprise applications continues to accelerate, and its impact on global IT infrastructure spending is also remarkable. The recent market study by International Data Corporation (IDC) provides compelling evidence of AI's explosive growth and implications for the Global Networked Economy . By 2028, global investment in AI infrastructure is projected to surpass the $100 billion mark, underscoring the technology's pivotal role in shaping the future of business and society. Artificial Intelligence Infrastructure Market Development This growth is not a sudden phenomenon but rather the result of sustained investment over time. The AI infrastructure market has experienced double-digit growth for nine consecutive half-years, with no signs of slowing down. In the first half of 2024 alone, organizations increased their spending on compute and storage hardware infrastructure for AI deployments by 37 percent year-over-year, reaching an...