Enthusiasm is still building around the nascent MPEG-4 AVC market, but the use of advanced video decoders does not mean that MPEG-2-only decoders will disappear from the market soon, reports In-Stat. In fact, MPEG-2 unit shipments are expected to experience growth until 2009, though declining ASPs for MPEG-2 solutions will cause revenues to decline, the high-tech market research firm says. "Buzz is really all there is to MPEG-4 AVC currently," says Michelle Abraham, In-Stat analyst. "We expect the market will be small in 2005, as many decoder IC suppliers have been conducting interoperability testing with encoder suppliers. We expect widespread availability of MPEG-4 AVC decoder ICs beginning in 2006." The worldwide MPEG Video IC market revenues for 2004 were US$ 3.8 billion. MPEG-4 Video ICs will appear in more and more mobile handsets as mobile video delivery systems based on standards like DVB-H and DMB are deployed around the world. In the MPEG-2 consumer encoder IC market, NEC Electronics had the top unit share in 2004 for the second year in a row, mainly due to its design wins in DVD recorders. STMicroelectronics had the highest MPEG Video IC revenue again in 2004, for the fifth straight year.
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. ...