According to the latest research from Strategy Analytics, global mobile phone shipments grew a striking 18 percent year-over-year, to 188 million units during Q2 2005 (April - June). Mega-vendors Nokia and Motorola outperformed in emerging markets, to grab an impressive, combined 50 percent share of total sales. Chris Ambrosio, Director of Strategy Analytics' Wireless Device Strategies service, noted, "Strong growth in emerging mobile phone markets, such as South America and Africa, is driving demand for increasing numbers of entry-level devices, precisely the mass-market segments where Nokia and Motorola are among the strongest." "The worldwide handset market is once again becoming concentrated in the hands of just a few major brands," said Neil Mawston, Associate Director of the Wireless Device Strategies (WDS) service at Strategy Analytics. "For example, Nokia and Motorola accounted for exactly half the global market in Q2 2005, leaving more than 60 other brands to fight for the remaining 50 percent." Following 361 million handsets sold globally in the first half of 2005, Strategy Analytics forecasts 775 million units for the full-year 2005.
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. ...