The worldwide retail value of all Digital Terrestrial TV (DTT) Set Top Boxes (STBs) will "blast off" during 2006, and power drive up to more than $10 Billion during 2009, reports In-Stat. In a surprising twist, Australia currently leads the world for consumption of High Definition TV (HDTV) Digital Terrestrial Set Top boxes, with North America running in second place. Europe has been the unit shipment and market value leader for several years, and is poised to become the long-term dominating force if the 2006 World Cup Football matches drive strong uptake for new Digital Terrestrial products. Japan and China have emerging markets for DTT STBs that support High Definition. The study also found a greater number of countries are turning on local Digital Terrestrial TV broadcasts, and this trend is beginning to accelerate. In the U.S., US Digital TV (USDTV) is tying together the bit streams of up to six local Digital Terrestrial TV stations, and offering a low-cost alternative to Cable TV services. The next phase of development is focused on advanced set top boxes that support new video Coder/Decoders (Codecs) and include hard disk drives and support for PVRs. China is expected to turn on their local Digital Terrestrial TV services during 2007, and this will drive large unit shipments of entry-level HDTV set top boxes in 2008 and 2009.
The prevailing narrative around artificial intelligence (AI) has been one of relentless scale. Bigger models, bigger clusters, bigger budgets. The assumption, largely unchallenged until recently, was that raw parameter count translated directly into competitive advantage. New research from Omdia suggests it's time to retire that assumption. According to the latest market study by Omdia, parameter growth in frontier AI models has slowed to around 5 percent annually since 2021, a stark contrast to the more than hundredfold expansion seen between 2019 and 2021. Enterprise AI Market Development For executives who have been making infrastructure and investment decisions based on the assumption that AI would keep demanding ever-larger, ever-more-expensive hardware, this finding deserves serious attention. The race to the top of the model size leaderboard has, at least for now, plateaued. Crucially, Omdia's analysts are not reading this as an AI winter. Alexander Harrowell, senior pri...