The global 2D gesture recognition market is anticipated to show growth owing to increasing demand in application segments. Hardware and software are combined to perform specified tasks. The technology is used to enhance user-experience in various application areas such as consumer electronics, finance, healthcare, and automotive. Increasing use of this technology in healthcare for training and examining human body is expected to drive the 2D gesture recognition market over the forecast period. Cost-effective gesture recognition solution is one of the major drivers in the market. The cost of these devices is anticipated to reduce owing to technological developments.
Rising need for sophisticated automatic processes in industries such as government, BFSI, and automobiles may provide positive avenues to market growth. Factors such as hygiene and enhanced user experience may also favor market augmentation over the forecast period. Availability of highly efficient equipment and convergence of multiple technologies is anticipated to open growth opportunities for the 2D gesture recognition market. Increased demand for economical solutions is anticipated to fuel market demand for the next seven years. Technological advancements and innovations are expected to drive market expansion. The user-friendliness of 2D gesture recognition-enabled devices is expected to be the major market driver. Increasing need for gesture recognition devices in the automotive sector such as use of 2D gesture recognition technology to operate infotainment devices in a vehicle is expected to drive the market. Increasing popularity of gesture-enabled gaming devices such as football, cricket, etc., is anticipated to propel the growth of 2D gesture recognition market over the next seven years. Popularity of 2D gesture recognition application in smartphones and smart TVs is anticipated to increase over the forecast period. Low operating range of gesture recognition devices owing to lower scope of the camera is anticipated to restrict market augmentation. Gesture recognition is anticipated to bring technological shifts in smartphones and tablets owing to high accuracy, speed, easy interface, and portability. Lack of awareness about gesture recognition technology may slow the market growth. Lack of standardization and high development costs may hinder the growth of 2D gesture recognition market. Increasing adoption of 3D gesture recognition technology in the gaming industry may also adversely affect market growth.
Global 2D gesture recognition can be classified on the basis of application as consumer electronics, automotive, transit, gaming, and healthcare sectors. Growing demand for consumer electronics such as smartphones and tablets provide a huge potential for the consumer 2D gesture recognition market. Consumer electronics and gaming are anticipated to be the major market segment over the forecast period. Increasing applications of consumer electronics and gaming in the healthcare sector may drive the market, for instance, it is used for telemedicine to monitor patient’s breathing. Asia Pacific is anticipated to be the major regional segment owing to fast-developing application sectors, boom in consumer and entertainment electronics, economic development growing demand for intuitive interface in medical electronic, automobile, and industrial sectors.
Major players in the 2D gesture recognition market include Cognitec Systems, CogniVue Corporation, Apple Corporation, Point Grab, Elliptic Labs, Advanced Micro Devices (AMD) Inc., ArcSoft Gesture Technologies, Cross Match Technologies Inc., IrisGuard Inc., Intel Corporation, Microchip Technology Inc., Qualcomm Inc., and Thalmic Labs. Companies such as Intel and Qualcomm Inc. are making investments in research and development to gain a competitive advantage. In October 2013, Google acquired hand gesture startup, Flutter, whose signature service flutter enables various application accesses through hand gestures. Many companies are considering the option of proving gesture recognition technology as a part of their product offering, for instance, Qualcomm Inc. in 2011 acquired GestureTek Technologies Inc. Israeli gesture recognition company eyeSight joined forces with Korean manufacture Innodigital to launch a set-top box that converts television into a smart device that can be controlled by natural and intuitive hand gestures. In February 2015, Cognitec Systems launched its face recognition algorithm B9 and embedded it in FaceVACS-DBScan, which is increasingly used for ID management. This enables passport, visa, and other national ID agencies to compare facial images to the images in existing databases, find errors and duplicates to avert identity fraud.
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