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.
Technology is a compelling catalyst for economic growth across the globe. Artificial intelligence (AI) rides a seismic wave of transformation in the Asia-Pacific (APAC) region — a market bolstered by bold government initiatives, swelling pools of capital, and vibrant tech ambition. The latest IDC analysis sheds light on this dynamic market. Despite a contraction in deal volumes through 2024, total AI venture funding surged to an impressive $15.4 billion — a signal of the region’s resilience and the maturation of its digital-native businesses (DNBs). Asia-Pacific AI Market Development The APAC AI sector’s funding story is not just about headline numbers but also about how and where investments are shifting. Even as the number of deals slowed, the aggregate value of investments climbed, reflecting a preference among investors for fewer but larger, high-potential bets on mature or highly scalable AI enterprises. The information technology sector led the AI investment charge. Top area...