Skip to main content

U.S. Mobile Advertising and Marketing Forecast


Once again, analysts are predicting that advertising targeted to U.S. mobile phone service subscribers will be embraced by the mainstream American marketer, according to the latest market study by eMarketer.

U.S. mobile ad spending will be up 79 percent in the U.S. market to reach $743 million, based upon the current eMarketer forecast. However, growth will slow somewhat as advertising spending reaches $1.1 billion in 2011 -- and potentially more than $2.5 billion by 2014.

"The expansion of the smartphone market and the attractive usage and demographic profile of smartphone owners have forced more marketers to pay closer attention to mobile," said Noah Elkin, eMarketer senior analyst.

Video, display and search ad spending on mobile media is predicted to more than double this year, while growth in messaging advertising will lag behind the other mobile formats.

That said, SMS text messaging is the largest ad format, with spending of $327 million estimated for 2010. And, the upside is huge, since most U.S. marketers have yet to discover how easy it is to send opt-in broadcast text messages to mobile phone service subscribers -- SMS is still the de facto data capability that's enabled in the majority of mobile phone handsets.

eMarketer had originally forecast that U.S. mobile ad spending would reach $593 million in 2010. That estimate included display ad spending of $166 million. In response to increased market interest, eMarketer has revised the overall forecast of mobile display spending for 2010 to $202.5 million.

"It is safe to say that many marketers who had not previously considered mobile advertising are now eager to tap into its potential, thanks to the stamp of legitimacy applied to the medium by the high-profile entrance of companies such as Apple and Google," Elkin said.

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...