Digital video recorders will be in 47 percent of U.S. homes by 2010, growing their installed base from 7 million households at the end of 2004 to 55 million in five years, according to a report from New York-based JupiterResearch. "While TV networks and their advertisers may get increasingly anxious about DVRs, some constituencies have another perspective. Pay TV operators will see the DVR playing an increasingly strategic role over the next two to three years," said JupiterResearch analyst Todd Chanko. Jupiter also predicts that HDTV monitors will grow from an installed based of 13 million in 2004, to 74 million by 2010. While less than 4 million of current HDTV households were subscribed to an HDTV service at the end of 2004, that number is expected to grow to 69 million by 2010. "Television networks and pay-TV operators alike are unsure of consumer demand for HDTV," said Chanko. "Behind closed doors the executives are still measuring the real costs to produce and distribute HDTV against the benefits. That's why there are only 26 hours of HDTV programming a day across seven broadcast networks."
The growing need for real-time, localized artificial intelligence (AI) processing power drives demand for Generative AI (GenAI) solutions on public cloud edge computing platforms. Worldwide spending on edge computing is forecast to reach $232 billion in 2024 -- that's an increase of 15.4 percent over 2023, according to the latest market study by International Data Corporation (IDC). Combined enterprise and service provider spending across hardware, software, professional services, and provisioned services for edge solutions will sustain strong growth through 2027 when spending is forecast to reach nearly $350 billion. Edge Computing Market Development IDC defines edge as the information and communications technology (ICT) related actions performed outside of the centralized data center, where edge computing is the intermediary between the connected endpoints and the core enterprise IT environment. Characteristically, edge computing is distributed, software-defined, and flexible. T