The results of a new In-Stat U.S. consumer survey demonstrate that while respondents' existing home networks are fairly evenly split between Ethernet and Wi-Fi, future home network deployments are largely planned as Wi-Fi networks. The 640 tech-savvy consumers who participated in the survey still chose data-networking applications over consumer electronics applications as the applications for which they were most interested in using Wi-Fi connectivity. "Consumer electronics vendors have a challenge to educate consumers about Wi-Fi and to overcome the perception that Wi-Fi is simply a data networking technology," says Norm Bogen, In-Stat analyst. "Nevertheless, Wi-Fi silicon vendors have fully committed to this market segment, and In-Stat believes the benefits to consumers of Wi-Fi connectivity in consumer electronics devices are significant enough to build a major market segment over the next five years." The challenges that Wi-Fi faces, in terms of range, bandwidth, security, and Quality-of-Service (QoS), are being addressed by new standards that have either recently been ratified or are set to be ratified over the next several years. The prevalence of wireless network availability, especially in home networks, makes it increasingly likely that any consumer electronics device would benefit from Wi-Fi connectivity. More PCs in a respondent's household was positively correlated with a greater likelihood of having heard of Wi-Fi being used in various devices.
Commercial interest in Generative AI (GenAI) tools has reached a fever pitch, and the latest forecast from Gartner amplifies this emerging trend. Gartner predicts $644 billion in worldwide spending on GenAI in 2025, marking a dramatic 76.4 percent increase from the previous year. This surge underscores the impact GenAI will have across industries. It also requires a closer examination of the underlying dynamics of future potential. Generative AI Market Development This growth is fueled by the GenAI foundational model providers who invest billions into enhancing the size, performance, and reliability of their models. Hardware also accounts for a significant portion of this spending, with ~80 percent allocated to servers, smartphones, and PCs equipped with artificial intelligence capabilities. This highlights the critical need for computational power to support the demanding workloads of GenAI. However, Gartner also injects a dose of reality into the GenAI hype cycle. There's a dec...