Skip to main content

Mobile Location-Based Social Networking

According to ABI Research, mobile location-based social networking is expected to become a driver for the adoption of location-based services -- as it provides a unifying framework for a large set of applications such as friend finders, local search and geo-tagging.

While many LBS applications will include features allowing the sharing of real-time experiences via fixed social networking sites such as Facebook and MySpace, fully-fledged mobile location-based social networking sites will also gain momentum with more than 82 million subscriptions expected by 2013.

"While growth will be mainly driven by the availability of multimedia-centric GPS handsets, other mobile form factors will also become important," says ABI Research director Dominique Bonte.

Mobile Internet Devices (MIDs) with built-in GPS receivers have been announced, with location-based social networking site GyPSii supporting Moblin-based Intel Atom processor-powered MIDs.

Connected PNDs and outdoor GPS solutions are other obvious candidates for location-based networking. Nissan Carwing in-car telematics solution allows the sharing and ranking of fuel consumption in Japan.

Licensing agreements with carriers and handsets manufacturers will be a crucial success factor for location-enabled social sites to reach critical market share.

While initially a wide range of business models will coexist, ultimately advertising-based models will prevail due to the perfect fit with the local search- and content-driven social context.

Another important trend is the emergence of location-enabled instant messaging with applications such as Palringo Local and Nokia Chat enriching mobile communication with location context.

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...