JupiterResearch released its 2005 Online Advertising Forecast which reveals that online advertising will continue steady growth over the next five years, eventually reaching $18.9 billion in 2010, compared to $9.3 billion at the end of 2004. This growth reflects not only advertiser confidence in the medium, but also the strength of advertising on search engines in 2010. Search engine advertising will generate more revenue than standard display advertising by 2010. Compound annual growth rates tell the story: display will grow at 7 percent and search will grow at over 12 percent over the next five years. The rise of search engine marketing, however, is only one element of an overall growing online advertising market. Other areas will also experience sustained growth over the next several years. Classified advertising will grow at nearly 10 percent, reaching $4.1 billion in 2010. Advertisers will also take great advantage of the growing number of broadband connected households to field rich and streaming media advertisements. Rich media spending will grow at a 25 percent compound annual growth rate (to $3.5 billion) and streaming media will grow at a 30 percent compound annual growth rate (to $943 million) by 2010. Publishers will see revenue grow from several sources, including direct sales and network revenue-share deals. This year, the revenue of ads priced on a performance basis will surpass that of ads sold on an impression basis. Much of this performance inventory will come from network providers, which are increasing their use of targeting technology to provide better results for publishers.
Enterprise AI adoption keeps running into the same wall: the moment sensitive data, model weights, or agent memory leave a tightly controlled environment, security teams lose visibility into what happens to them while the workload is actually running. Confidential computing exists to close that gap, and new research from ABI Research shows the technology has matured enough, across CPUs, GPUs, containers, and now agentic AI, to become a foundational requirement for enterprises building sovereign AI infrastructure: computing environments they control end to end rather than simply rent. Protection is Moving From CPUs to GPUs ABI Research finds that CPU-based confidential computing is closest to mass-market adoption, the product of years spent hardening chip-level isolation for general workloads. GPU-based confidential computing is now generating the strongest momentum, and for good reason. It addresses one of the largest unresolved gaps in AI security: protecting data and models while inf...