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.
Embodied AI is shifting industrial robotics from precise to perceptive — from rigid automation to adaptive execution in messy, variable production environments. For manufacturers and logistics providers, this isn't just a technology upgrade; it's a structural change in how work gets organized and business value gets created. Industrial robots have long excelled in static workflows: automotive assembly, fixed production lines, repetitive tasks. Where variability or human interaction arose, they stalled or required prohibitive engineering. Embodied AI Market Development Embodied AI changes this by closing the "sim-to-real" gap. According to the latest worldwide market study by ABI Research, AI-augmented robots have reached genuine adaptive automation with tangible ROI for early adopters. The shift rests on robust algorithms — particularly Dynamic Policy Adjustment and robotics foundation models — that learn and adapt in real time rather than following hard-coded rules. ...