Gesture Recognition Market To Grow Enormously with Size Worth .18 Billion By 2030 |Grand View Research, Inc.Posted by Mrudula Karmarkar on December 8th, 2022 The global gesture recognition market size is anticipated to reach USD 70.18 billion by 2030, registering a CAGR of 19.1% between 2022 and 2030, according to a new report by Grand View Research, Inc. Increasing digitization initiatives across several industries are key to the rising adoption rate of these solutions. The consumer electronics industry is one of the largest adopters of gesture recognition solutions thanks to their ease of adoption due to low technical complexity for end-users. Adoption of the technology has also significantly increased across other industries. The market also benefits from the rising use of consumer electronics and the Internet of Things and an increasing need for comfort and convenience in product usage. Technological advancements and ease of use have helped the technology gain global acceptance. Increased awareness about regulations and driver safety has increased the demand for gesture recognition systems in the automobile industry. Moreover, growing customer demand for application-based technologies is boosting the market growth. Research in the field of hand gesture recognition has increased for achieving advancements in human-machine interaction. The development of several software and hardware products for touchless digital interaction is helping drive advancements in gesture recognition technology. Several companies are investing in enhancing the technology and are introducing new products. For instance, In December 2021, Somalytics Inc., a nanotechnology sensor designing company, unveiled its capacitive sensor. It is one of the world’s smallest nano-based capacitive sensors and is made of carbon nanotube paper composites. The market landscape is volatile and is experiencing fierce competition owing to a large number of mergers and acquisitions. The key players in the market include IT giants such as Apple, Intel Corp., Microsoft, and Google LLC. Along with these international giants, domestic players also show tremendous growth potential and are attracting big investors. The market is expected to benefit from increasing per capita incomes globally, technological advancements, and increasing digitization across industries such as automotive, consumer electronics, and healthcare. The rising use of consumer electronics, growing implementation of the Internet of Things (IoT), and increasing need for comfort and convenience in product usage are also driving market growth. To Request Sample Copy of this report, click the link: https://www.grandviewresearch.com/industry-analysis/gesture-recognition-market/request/rs1 Gesture recognition is the conversion of a hominid movement or gesture to a machine command using a mathematical algorithm. The technology enables any person to interact with a machine using human gestures and movements, such as the movement of hands, fingers, arms, head, or the entire body. It allows the user to operate and control devices merely with these gestures without the need for physical devices such as touch screens, keyboards, and mouses. For instance, users can move a cursor by simply pointing their finger at a screen. Gesture recognition technology has improved the usability of several machines and the adoption of many innovative applications in various industries. It processes the information conveyed by humans through gestures or speech. The machine identifies the gesture types and converts sign language symbols into text through language recognition technology. The direction in which the user points helps process and interpret gestures with accuracy. Gesture Recognition Market Report Highlights
Hand gesture recognition is one of the most popular research areas in Human-Machine Interaction (HMI) and Human-Computer Interaction (HCI). Its applications range from medical rehabilitation to consumer electronics control. Different sensing techniques are used to identify hand gestures and obtain signals for pattern recognition. Several kinds of prototypes have been developed to make hand gesture recognition more cost-effective than traditional interface devices such as keyboards and mouses. The increased interest of leading vendors can be attributed to the fact that hand gestures are highly expressive and interact well with the environment or share information efficiently. List of Key Players in the Gesture Recognition Market
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