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.
Enterprise AI adoption keeps running into the same wall: the moment sensitive data, model weights, or agent memory leave a tightly controlled environment, security teams lose visibility into what happens to them while the workload is actually running. Confidential computing exists to close that gap, and new research from ABI Research shows the technology has matured enough, across CPUs, GPUs, containers, and now agentic AI, to become a foundational requirement for enterprises building sovereign AI infrastructure: computing environments they control end to end rather than simply rent. Protection is Moving From CPUs to GPUs ABI Research finds that CPU-based confidential computing is closest to mass-market adoption, the product of years spent hardening chip-level isolation for general workloads. GPU-based confidential computing is now generating the strongest momentum, and for good reason. It addresses one of the largest unresolved gaps in AI security: protecting data and models while inf...