Skip to main content

Market Segmentation for the Digital Home

Whether broadband service providers are ready or not, next-generation consumer applications have arrived, according to In-Stat. Wireline operators are investing billions of dollars in fiber optic cable deployment to introduce IPTV and triple-play service bundles.

Wireline, wireless integration is upon us with the launching of the first Fixed/Mobile Convergence (FMC) services in Europe and the U.S. Yet, these next-generation consumer applications are far different from the old telephone 'custom calling' days. Understanding the consumer, as well as the characteristics of broadband households, will be vital to success.

In-Stat published a research report that examines the lifestyles and behavior of multi-person broadband households in North America, as they relate to next-generation IMS consumer applications. Broadband households in the U.S. and Canada are segmented into six groups, each with a distinctive set of lifestyle characteristics.

Not surprisingly, household buying decisions are heavily influenced by demographic factors, interests and activities. For example, some households set daily schedules around their favorite TV programs, while others buy Personal Video Recorders (PVR). Some adults will buy for their teenagers, others do not.

Interest in next-generation consumer applications is as diverse as the broadband households, themselves. In-Stat belives that viewing IMS consumer markets from a different perspective can be both enlightening and ultimately profitable.

Popular posts from this blog

Frontier AI Peaked. Here's What Comes Next

The prevailing narrative around artificial intelligence (AI) has been one of relentless scale. Bigger models, bigger clusters, bigger budgets. The assumption, largely unchallenged until recently, was that raw parameter count translated directly into competitive advantage. New research from Omdia suggests it's time to retire that assumption. According to the latest market study by Omdia, parameter growth in frontier AI models has slowed to around 5 percent annually since 2021, a stark contrast to the more than hundredfold expansion seen between 2019 and 2021. Enterprise AI Market Development For executives who have been making infrastructure and investment decisions based on the assumption that AI would keep demanding ever-larger, ever-more-expensive hardware, this finding deserves serious attention. The race to the top of the model size leaderboard has, at least for now, plateaued. Crucially, Omdia's analysts are not reading this as an AI winter. Alexander Harrowell, senior pri...