Wednesday, September 24, 2014

New Gesture Recognition Market Forecasts

NanoMarkets publishes "Gestural Recognition: Sensors, Cameras and Other Technology Opportunities—2014" report predicting that "over the next decade, gestural recognition could replace touch sensing as the leading edge computer input technology. Although gestural recognition and control technology has served niche markets in gaming and virtual reality for some time, NanoMarkets believes that within a few years, gestural recognition will begin to generate significant revenues in general industrial applications, as well as in the signage, healthcare, automotive and telepresence sectors.

We think that this surge in interest in gestural recognition will lead to a broad range of opportunities in the sensor, camera and related businesses.
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Industry ARC report "Gesture Recognition in Consumer Electronics Market (2013 - 2018)" published in January 2014 has forecasts "the global gesture recognition market in consumer electronics industry had revenues of around $243m in 2012 and this is expected to increase to around $2740 m in 2018.The total available market for mobile hardware in gesture recognition stands at around 25% of the overall global gesture recognition market and is expected to grow at a CAGR of 25% from 2013 to 2018. The market for automotive gesture recognition finds an untapped potential and the number of shipments in this category is expected to increase from 750,000 units in 2013 to around 20 million units in 2018 at a CAGR of over 90%." (from slideshere.net)

From the report:

  • Tablet PCs and laptops are the top growing consumer electronics product segments using gesture recognition in the next 5 years.
  • Gesture recognition is also slowly penetrating the household appliances sectors for smarter devices manufacturing.
  • 3D Gesture recognition penetrates smart watch technologies, which in turn could create a new trend in fashion
  • Gesture recognition penetrates automotive sector considerably as leading companies such as Volkswagen and General Motors adopt this technique.
  • Recent developments like acquisition of Flutter by Google, usage of Leap Motion in Asus computers, acquisition of Primesense by Apple and acquisition of Omek by Intel are positive signs of market expansion on the financial backing of larger companies.
  • Consumer electronics currently contributes to more than 95% of the global gesture recognition market.
  • 2D camera based gesture recognition is expected to account for a significant market share in the Smartphone gesture recognition category.

Update: PR Newswire publishes few more detailes from Nanomarket report:

"the market for sensors and related components used in gestural control systems will grow from $770 million in 2014 to about $3.5 billion in 2019."

"The market for sensors and related devices for gestural control in smart TVs will reach $1.18 billion by 2019. By the end of the forecast period a sizeable fraction of smart TVs will be controlled by the hands and fingers alone, without a remote control.

In fact, many of the latest applications for gestural recognition will be enabled by the advent of cameras using 3D image sensors, which can detect image and depth information at the same time. This is a compelling technology for the consumer electronics market; it can provide more precise gesture recognition than 2D image sensors at a reasonable cost. By 2019, NanoMarkets projects revenues from 3D image sensors to reach $930 million.

Nonetheless, ToF cameras could be the next big thing in gesture recognition. ToF promises ultrafast response times and this will be very effective for accurately detecting much more subtle hand and finger gestures than is possible with stereo cameras. ToF also has no problem with latency, which can cause noticeable delays in image recognition in other systems. ToF also works well in poorly lit environments, which can be an important advantage. ToF sensors generate almost no revenues today, but by 2019 NanoMarkets expects that $550 million in ToF sensors will be bought for gestural recognition systems.
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