Skip to main content

What's Next? - Mobile Broadcast Video

We have the technology, but will consumers subscribe to the services? -- "Tiny TVs have been around for decades without having much impact. That's about to change, according to a new study from ABI Research. New technologies mean that in the next few years, mobile phone users will be able to watch high quality, full-motion video on their small screens. Subscribers will also be able to access linked content, and buy program-related products and services from their wireless service providers. Ken Hyers, the firm's principal analyst of global wireless operator research, says that the new services will be based on a one-to-many model like conventional broadcast TV, rather than using the restricted bandwidth of mobile data networks. Next month these digital video broadcast networks will launch in Japan and South Korea, with similar services to debut in the US, Europe and elsewhere in late 2006 or early 2007. The content will largely mimic that of the short clips now available from some mobile services: news headlines, sports, children's programs, drama Mobisodes and music videos."

Popular posts from this blog

Embodied AI Robots: Market Upside Trends

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. ...