Big data, 3D printing, activity streams, Internet TV, Near Field Communication (NFC) payment, cloud computing and media tablets are some of the fastest-moving technologies identified in Gartner Inc.’s 2012 Hype Cycle for Emerging Technologies.
Gartner analysts said that these technologies have moved noticeably along the Hype Cycle since 2011, while consumerization is now expected to reach the Plateau of Productivity in two to five years, down from five to 10 years in 2011. Bring your own device (BYOD), 3D printing and social analytics are some of the technologies identified at the Peak of Inflated Expectations in this year’s Emerging Technologies Hype Cycle.
The Hype Cycle graphic has been used by Gartner since 1995 to highlight the common pattern of overenthusiasm, disillusionment and eventual realism that accompanies each new technology and innovation. The Hype Cycle Special Report is updated annually to track technologies along this cycle and provide guidance on when and where organizations should adopt them for maximum impact and value.
Gartner’s Hype Cycle for Emerging Technologies targets strategic planning, innovation and emerging technology professionals by highlighting a set of technologies that will have broad-ranging impact across the business
said Jackie Fenn, vice president and Gartner fellow.
It is the broadest aggregate Gartner Hype Cycle, featuring technologies that are the focus of attention because of particularly high levels of hype, or those that Gartner believes have the potential for significant impact.
The theme of this year’s Hype Cycle is the concept of ‘tipping points.’ We are at an interesting moment, a time when many of the scenarios we’ve been talking about for a long time are almost becoming reality”
said Hung LeHong, research vice president at Gartner.
The smarter smartphone is a case in point. It’s now possible to look at a smartphone and unlock it via facial recognition, and then talk to it to ask it to find the nearest bank ATM. However, at the same time, we see that the technology is not quite there yet. We might have to remove our glasses for the facial recognition to work, our smartphones don’t always understand us when we speak, and the location-sensing technology sometimes has trouble finding us.