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

How AI Transforms Financial Decision-Making

Artificial intelligence (AI) has emerged as a transformational force, reshaping business processes and unlocking new possibilities for efficiency and innovation in corporate finance. The latest Gartner survey on AI usage in finance provides evidence of this emerging trend, offering valuable insights into the future growth trajectory of AI in finance. The Gartner survey reveals a significant milestone. As of 2024, 58 percent of finance functions actively use AI technology -- that's a substantial increase from previous years. Artificial Intelligence Market Development Perhaps even more telling is the projection that by 2026 more than 80 percent of finance functions are expected to be leveraging AI solutions. The survey sheds light on the use cases of AI in finance: AI is being deployed to enhance forecasting accuracy and provide deeper insights into financial trends. Automation of routine tasks and improved accuracy in financial reporting are key benefits observed. AI algorithms are