Gesture Recognition Market Worth $30.6 Billion By 2025 | CAGR: 22.2%



The global gesture recognition market size is likely to reach USD 30.6 billion by 2025. It is poised to post a CAGR of 22.2% from 2018 to 2025, according to a new report by Grand View Research, Inc. Increasing digitization across various industries is benefiting the growth of the market. Ease of adoption due to low technical complexity for end users is escalating its implementation across the consumer electronics industry. Several other industries have also started using this technology. Similarly, the touchless gesture recognition market is primarily driven by factors such as rising hygiene consciousness, government measures for water conservation, low maintenance cost, and booming hospitality and tourism industry.
Artificial Intelligence (AI), Virtual Reality (VR), and Augmented Reality (AR) solutions are anticipated to substantially contribute while responding to the COVID-19 pandemic and address continuously evolving challenges. The existing situation owing to the outbreak of the epidemic will inspire pharmaceutical vendors and healthcare establishments to improve their R&D investments in AI, acting as a core technology for enabling various initiatives. The insurance industry is expected to confront the pressure associated with cost-efficiency. Usage of AI can help in reducing operating costs, and at the same time, can increase customer satisfaction during the renewal process, claims, and other services. VR/AR can assist in e-learning, for which the demand will surge owing to the closure of many schools and universities. Further, VR/AR can also prove to be a valuable solution in providing remote assistance as it can support in avoiding unnecessary travel. The report will account for Covid19 as a key market contributor.
Surging use of consumer electronics and Internet of Things, along with increasing need for comfort and convenience in product usage, is boosting the growth of the gesture recognition market. Technological advancements and ease of use are helping the market gain momentum over the coming years. Increasing awareness regarding regulations and driver safety are bolstering the demand for gesture recognition systems in the automobile industry. Similarly, spiraling customer demand for application-based technologies is stimulating market growth.
Gestures are visible body actions through which human express information to others without saying it. In our daily lives, we see several hand gestures that are frequently used for communication purposes. Hand gesture recognition is one of the advanced research fields, which provides a way for human-machine interaction. Hand gesture recognition provides an intelligent method for human-computer interaction (HCI).
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The market is volatile and is experiencing a fierce competition, therefore, witnessing high number of mergers and acquisitions. For instance, Intel Corp. acquired Omek Interactive Ltd. Some of the key players in the market are Apple, Intel, Microsoft, and Google. Along with global giants, local and regional players are also showing tremendous growth and attracting big investors. This scenario has taken the competition to a whole different level.
Further key findings from the report suggest:
·         Increasing digitization across various industries and ease of adoption due to low technical complexity for end users are poised to propel the market
·         The healthcare segment is projected to experience substantial CAGR of 27.0% over the forecast period
·         Asia Pacific was the highest revenue contributor in 2017. It is expected to witness significant growth over the forecast period
·         The key players of the market include Apple Inc.; eyeSight Technologies Ltd; and Infineon Technologies AG.
The global gesture recognition market size was valued at USD 6.22 billion in 2017. It is projected to expand at a CAGR of 22.2% from 2018 to 2025, owing to increasing per capita income, rising technological advancements, and burgeoning digitization across various industries such as automotive, consumer electronics, and healthcare. Surging use of consumer electronics, growing implementation of Internet of Things (IoT), and soaring need for comfort and convenience in product usage are also providing an upthrust to the market.
Gesture recognition is conversion of a hominid movement or signal to a command using a mathematical algorithm. It enables any person to interrelate with the machine in absence of any physical devices, as an input mechanism to perform desired actions in a system. The technology interprets human gestures and movements, such as movement of hands, fingers, arms, head, or the entire body. It allows users to operate and control devices merely with their gestures.
For instance, users can move cursor by simply pointing a finger at the screen. This makes input devices such as touchscreens, keyboards, and mouse redundant. Gesture recognition technology has improved usability of several devices and has occasioned progression of several innovative applications in various industries.
Gestures are visible body actions through which human express information to others without saying it. In our daily lives, we can see several hand gestures, which are frequently used for communication purposes. Hand gesture recognition is one of the most advanced research fields that provide a means for human-machine interaction (HMI) and human-computer interaction (HCI). Its applications range from medical rehabilitation to consumer electronics control.
Different types of sensing techniques are used to identify various hand gestures. Sensing techniques are used to obtain multiple signals for pattern recognition. Different kinds of prototypes developed are easy to use and understand and they are more cost-effective than traditional interface devices such as keyboard and mouse. Hand gestures are highly expressive in terms of interacting with the environment or communicating any information.
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Similarly, touchless sensing offers evolutionary technology in human-machine interface (HMI). Touchless technology detects motion or presence within vicinity of a sensor and enables scanning of biometric images without any need to touch sensors physically. It combines advantages of both optical sensing as well as biometric sensing systems. As soon as an object comes near touchless sensors, optical source illuminates the object and cameras scan that image. These optical sources are highly sophisticated and guarantee high image quality.
Grand View Research has segmented the global gesture recognition market based on technology, industry:
Gesture Recognition Technology Outlook (Revenue, USD Million, 2014 - 2025)
·         Touch-based
o    Multi-Touch System
o    Motion Gesture
·         Touchless
o    Capacitive/Electric Field
o    Infrared Array
o    Ultrasonic Technology
o    2D Camera-Based Technology
o    3D Vision Technologies
Gesture Recognition End-use Outlook (Revenue, USD Million, 2014 - 2025)
·         Automotive
o    Lighting System
o    HUD
o    Biometric Access
o    Others
·         Consumer Electronics
o    Smartphone
o    Laptops & Tablets
o    Gaming Console
o    Smart TV
o    Set-Top Box
o    Head-Mount Display (HMD)
o    Others
·         Healthcare
o    Sign Language
o    Lab & Operating Rooms
o    Diagnosis
·         Others
o    Advertisement & Communication
o    Hospitality
o    Educational Hubs
About Grand View Research
Grand View Research, Inc. is a U.S. based market research and consulting company, registered in the State of California and headquartered in San Francisco. The company provides syndicated research reports, customized research reports, and consulting services. To help clients make informed business decisions, we offer market intelligence studies ensuring relevant and fact-based research across a range of industries, from technology to chemicals, materials and healthcare.


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