According to In-Stat, hotspot usage is on the rise. One of the key concerns with the hotspot market over the past several years was whether there was a large enough audience of potential users for this service. While the market has increased over the past several years, there seems to be a more marked jump in usage this year. Many players report double digit usage growth month to month, and providers that have been very guarded on usage rates, such as T-Mobile, are now releasing information, which signals a positive shift in usage. This sudden trend in increased usage is largely a North American phenomena, as Asia Pacific usage has always been fairly robust, and Europe continues to have lower usage rates (often associated with the higher cost of access in that region). According to the Q2 2005 In-Stat Hotspot End-User Survey, nearly half of the 579 respondents use or have used hotspot services. Furthermore, 20 percent of respondents use these services frequently. While still slightly over half of the market has not used hotspots in the past, all respondents at least might consider using the service, with 17 percent indicating strong intent to do so. Nearly two-thirds of survey respondents that have used hotspots indicated plans to use the services more in the future. While 20 percent anticipated using the service at about the same level as they currently do, only 2 percent had plans to use the service less.
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 ...