Skip to main content

Consensus Regarding Online Ad Spending

eMarketer reports that the trend began early last week, when the Internet Advertising Bureau (IAB) and PricewaterhouseCoopers (PwC) released new data showing that U.S. Internet advertising revenues reached a record $4.2 billion in the third quarter of 2006.

That represents a 35 percent increase over the $3.1 billion figure posted for the third quarter of 2005, and a 2 percent increase over the second-quarter 2006 total of nearly $4.1 billion.

"Interactive advertising, with its eighth consecutive quarter of growth and the largest single quarter ever, is on pace for its biggest year," said David Silverman of PwC. Now Merrill Lynch has raised its estimates.

Merrill Lynch now estimates that U.S. online ad revenue for the first three quarters of 2006 was 35.5 percent more than in the same period in 2005. The firm previously forecast a 31 percent increase.

Merrill Lynch currently expects U.S. online ad spending in the fourth quarter to be 30 percent more than it was in Q4 2005, up from its estimate of 27 percent. For the year, Merrill is projecting 23.3 percent growth in online ad spending -- up slightly from its previous projection of 22.5 percent. Merrill Lynch expects paid search to increase 27 percent next year, and branded ads to grow 21 percent.

Even with the injection of online video ad spending expected in 2007, the firm projects that search will still account for over 42 percent of the online advertising spend, up one percentage point from this year.

Popular posts from this blog

AI Agents Have Memory. Where is The Security?

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...