Increase in Digitization across Industries Coupled with Surge in Application of Gesture Control Features in Automobiles is Set to Drive Global Gesture Recognition Market Over the Forecast Period: Ken Research

Gesture recognition is renovation of a hominid movement or signal to a command with the help of mathematical algorithm. It enables any person to correlate with the machine in absence of any physical devices, as an input device to perform desired actions in a system. The technology interprets human gestures & movements, for instance movement of hands, arms, fingers, head, or the entire body. It allows users to operate & control devices merely with the gestures. Gesture is a primary source of input data. In gesture recognition technology, a camera detains the image and feed the image data to a sensing device, it perceives & interpret gesture and execute the correlated command. Most of the electronic devices such as tablets, smart phone, PCs, laptops, and TV are equipped with gesture recognition which enhances the efficiency and ease of use.

According to study, “Global Gesture Recognition Market by technology (sensor, 2D and 3D gesture), product (touch less, touch based), application (automotive, healthcare, transportation, IT, commercial) – Forecast 2023” the key companies operating in the global gesture recognition market are Apple Inc., Microsoft Corporation, Iris guard, Intel Corporation, Prime Sense Limited, Jabil Inc., Qualcomm Technologies Inc., Texas Instruments, Omron Corporation, Infineon Technologies AG, Pyreos Ltd., SoftKinetic, Thalmic Labs Inc., Alphabet Inc., Sony Corp., EyeSight Technologies Ltd., Fibaro Group SA, Microchip Technology Inc., Elliptic Laboratories AS, Leap Motion Inc., Synaptics Inc., Google Inc., GestureTek Inc., Movea SA, Omron Corp. The key players are leveraging on strategic collaborative initiatives to enhance the market shares & profitability. Companies are also acquiring start-ups working on autonomous delivery robot technologies to strengthen the product capabilities.

Based on technology, global gesture recognition market is segmented into touch based systems and toucheless systems. Touch based system technology includes motion gesture and multi-touch system. Touchless system technology includes infrared array, capacitive/electric field, 2D (two dimensional) camera based technology, 3D (three dimensional) vision technologies and ultrasonic technology. Based on authentication type, market is segmented into finger print recognition, vision & IRIS recognition, face recognition, hand & leg recognition and others. In addition, based on application, market is segmented into gaming, automotive (biometric access, lighting system and HUD), aerospace & defense, hospitality, consumer electronics (smartphone, gaming console, laptops & tablets, smart TV, head-mount display (HMD), set-top box), medical centers, education and others.

The gesture recognition market is driven by increase in digitization across industries, followed by surge in application of gesture control features in automobiles, growth in consumer electronics market, rise in development of motion-control gaming, increase in disposable income and ease of adoption owing to low technical complexity for end users. However, high-power consumption and absence of haptic sensation may impact the market. Moreover, increase in use of touchless sanitary solution is a key opportunity for market.

Based on geography, the North-American region holds major share in global gesture recognition market owing to increase in adoption of smart technologies in various sector such as consumer electronics & automotive and rapid automation activities in industries in the region. The Asian Pacific and European region is expected to witness higher growth rate due to rise in demand of smart phone & smart technologies in the educational sector over the forecast period. It is anticipated that the market will be reached at fast pace on account of growth in industrial digitization and Increase in development of motion-control gaming over the forecast period.

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Global Gesture Recognition Market

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