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.
As we approach 2025, the global Artificial Intelligence (AI) market is poised for significant growth. Traditional AI spending is rising, while Generative AI (GenAI) struggles to meet lofty expectations. This apparent dichotomy presents challenges and opportunities for vendors and business leaders navigating the complex world of AI implementation. Let's explore the overall situation. Traditional AI: A Pragmatic Approach In the coming year, we expect to see a surge in traditional AI spending as enterprises seek pragmatic, ROI-driven solutions. This trend is driven by a growing recognition of the limitations and risks associated with GenAI projects, which have shown alarmingly high failure rates of 80 to 90 percent in proof-of-concept stages. The trend towards traditional AI is further supported by data from Amazon Web Services (AWS), which revealed that over 85 percent of AI projects in 2024 were not based on GenAI. This insightful statistic underscores the continued relevance and ...