Skip to main content

How Wi-Fi Enables In-Home P2P Device Connectivity

The adoption of over-the-top video services, such as Netflix and Hulu, has created a increasing demand for wireless connectivity that's built-in to the numerous related consumer electronics (CE) devices that are used within the home.

Increasingly, home video entertainment devices such as digital HDTVs, Blu-ray players, game consoles, and all versions of pay-TV set-top boxes (STBs) are coming to the market Wi-Fi-enabled -- so that devices can connect to the web and to each other.

According to the latest market study by NPD In-Stat, their research shows that the evolution of the home network will drive the number of in-home video WLAN-enabled video devices to approach 600 million in 2015.

"Wi-Fi has moved from a nice-to-have feature to a must-have feature as it provides the connectivity necessary to support IP-based video content." says Frank Dickson, Vice President of Research at NPD In-Stat.

It's important to note though that Wi-Fi is growing from being simply about getting content from a network to devices, to sharing content between devices -- as Wi-Fi evolves from being a network-centric connectivity standard to one that enables peer-to-peer (P2P) device connectivity.

New innovations such as Wi-Fi Display and Wi-Fi Direct will fundamentally change the way that digital media content is moved and shared in the home.

Some of the NPD In-Stat market study findings include:
  • Digital TVs will reach a 40 percent WLAN-attach rate by 2015.
  • In 2014, mobile hotspots will have an 802.11n attach rate of 98 percent.
  • Over 28 million WLAN-enabled Blu-ray players will ship in 2013.
  • The 802.11ac standard will achieve an attach rate in mini-notebooks of 23 percent in 2015.

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...