According to a new market research report "Gesture Recognition & Touch-Less Sensing Market by Technology (2D, 3D, Ultrasonic, IR, Capacitive); Product (Biometric, Sanitary Equipment), Application (Healthcare, Consumer Electronics, Automotive), Geography (Americas, EMEA & APAC) - Global Forecasts and Analysis to 2013 – 2020" by MarketsandMarkets the total gesture recognition & touch-less sensing market is expected to reach $22.04 billion by 2020 growing at a CAGR of 30.91% from 2013 to 2020.
Browse more than 105 market data tables with 56 figures spread through 310 pages and in-depth TOC on "Gesture Recognition & Touch-Less Sensing Market".
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Over the past few years, gesture recognition has made its debut in entertainment and gaming markets. The first mover in gesture recognition was presented by the Microsoft's Kinect game controller which used a stereoscopic 2D image sensor which brought this GR technology to all the electronic devices in consumer's life. Now, gesture recognition is becoming a commonplace technology, enabling humans and machines to interface more easily in the home, automobile, and at work. Gesture recognition has long been researched with 2D vision, but with the advent of 3D sensor technology, its applications are now more diverse, spanning a variety of markets. One of the major game changing 3D image sensors in GR technology is the Time-of-Flight (ToF) which has given the capability to tap the other opportunistic markets.
One tricky area with gesture recognition is the precision; if you've got finger-width resolution, what does that let you do? Could you put a virtual keyboard on a screen and type easily? The reason we are moving from hand detection to finger detection is to increase the ease of use. In Smart TVs with other technology, is that you have to perform pretty big movement with your arm at shoulder level, which is not convenient for the user. And it's very hard to be precise. So using the ToF image sensors worked easily at finger-level tracking. This gave the user more control over everything by just moving your wrist.
Time-of-Flight systems are not scanners, as they do not measure point to point. Instead, ToF systems recognize the entire scene simultaneously to determine the 3D range image. With the measured coordinates of an object, a 3D image can be generated and used in systems such as device control in areas like manufacturing, robotics, medical technologies and digital photography. These systems require a significant amount of processing, and embedded systems have only recently provided the amount of processing performance and bandwidth needed by the system.
Due to seamless balance of cost and performance, ToF systems are optimal for device control in areas like manufacturing and consumer electronics devices needing a fast response time. TOF systems typically have low software complexity. However, these systems integrate expensive illumination parts, such as LEDs and laser diodes, as well as costly high-speed interface-related parts, such as fast ADC, fast serial/parallel interface and fast PWM drivers, that increase material costs which forms the 3D sensor technologies.
The touch-less sensing market is expected to reach $11.0 billion by the end of 2020 at a CAGR of 24.03%. The key players in the touch-less sanitary equipment market are iTouchless (U.S.), and Simplehuman LLC (U.S.). The key players in touch-less biometric solutions include: TST Biometrics (Germany), Touch-less Biometric Systems (Germany), and IrisGuard (Switzerland). The gesture recognition market is expected to reach $11.03 billion in 2020 from $322.30 million in 2012 at a CAGR of 42.89% from 2013 to 2020.
The report focuses on the in-depth segmentation of these markets by the different technologies, products, and applications. For instance, the touch-less biometric market has been segmented by the different types like face, iris, voice, and touch-less fingerprint biometrics. Similarly, the touch-less sanitary equipment market is segmented by the major products like faucets, soap dispensers, trash cans, hand dryers, paper towel dispenser, and flushes. The gesture recognition market has been segmented by technologies like 2D camera based, 3D camera based, ultrasonic, infrared arrays, and electric near field.
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