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Gesture Recognition Market Size & Analysis, 2025 | Industry Report

Gesture Recognition Market Size & Forecast Report, 2014 - 2025

Report ID: MN17617232  |  Published: November 2017  |  No of Pages: 101
Format: Electronic (PDF)  |  Industry: Technology  |  Publisher: Grand View Research

The global Gesture Recognition Market size is expected to value at USD 33.05 billion by 2025. Gesture recognition is technique that involves the conversion of a bodily movement and gesture into machine language with the help of a computational algorithm. This allows user to interact with the robot or machine in absence of other human being. Human gesture is treated as an input to the machine and an appropriate response is received.

The gesture recognition technology is capable of understanding human gestures including handmovements, fingersmovements, and headmovements. Further, the system provides full operational capability to user by reading their gesture and movements. For example, with the help of gesture recognition system, a cursor can be movedfrom point A to Pont B by just pointing a finger. Increasing adoption of gesture recognition system and further research & development in the field can make touchscreens, console boards, and mouse redundant.

Hand gesture recognition is one of the fastest growing segment in the gesture recognition industry with highest revenue generation since last couple of years. The key factors such as advanced research in the fields and high-end human and machine interaction are anticipated boost growth of the market in coming years. Hand gesture recognition is considered as most intelligent ways to carry out human and computer interaction (HCI). Application of the hand gesture recognition system include medical therapies and consumer electronics.

Various methodologies are implemented to perform hand gesture recognition with high precision. Different sensing methods are increasingly adopted for obtainingmultiple of signals at a same time to perform highly accurate pattern recognition. Increasing adoption of AI in hand gesture recognition systems make it more precise in its operations. Hand gesture recognition systems are more cost-effective in comparison with the conventional interface systems like console boards and the mouse.

The gesture recognition industry is subject to witness a substantial growth due to the rise in the personal disposable income, numerous technological advancement and growing popularity of artificial intelligence (AI). Additionally, increasing focus on implementation of digitalization in various industry segments including transportation, consumer electronics, and healthcare sector, is predicted to fuel overall market growth. Growing adoption of the gesture recognition systems in electronics devices, and Internet of Things (IoT) systems due to ease of accessibility and convenience during operations, are attributing to the market expansion. Globally, the gesture recognition market is predicted to grow at CAGR of 21.3% in forecast period, providing numerous opportunity for market players to invest for research and development in the market.

Growing competition in the market is leading to large number of mergers and acquisitions, thus attributing to the growth of the market in recent years. Gesture recognition is highly influenced by recent advancement in computer science and language technology. Further, recent advancement in the computational algorithmsis helping to simplify process of interaction human and machine, thus fueling growth of the industry over the forecast period.

Various approaches including cameras and computer vision have been implemented for more accurate interpretation and conversion of sign language into machine language. Furthermore, the understanding and recognition of body posture, movement, and human behaviors has become part of gesture recognition techniques as well. Gesture recognition helps computers to understand human behavior though gesture or movement of body part, thus allowing human and machine interaction more precise and efficient. Such factors are further anticipated to amplify the growth of gesture recognition industry in coming years.

The gesture recognition market is divided into regional market segment such as North America, Europe, Asia-Pacific, Latin America and Africa. North America has shown major growth in recent years owing to the rise in the adoption of latest technologies and existence prominent industry players in the region. Asia-Pacific region is predicted to hold major market share in the gesture recognition industry displaying massive growth in forecast period.

Countries such as India, China and Singapore are leading the Asia-Pacific market with increasing personal expenditure, rapid industrialization and rising investment by industry leaders considering potential opportunities in the region.The key players in the gesture recognition market are Apple Incorporations, eyeSight Technologies Limited, and Infineon Technologies AG.

Market Segment:

Technology Outlook (Revenue, USD Million; 2014 - 2025)
    • Touch-based
        • Multi-Touch System
        • Motion Gesture
    • Touchless
        • Capacitive/Electric Field
        • Infrared Array
        • Ultrasonic Technology
        • 2D Camera-Based Technology
        • 3D Vision Technologies

Industry Outlook (Revenue, USD Million; 2014 - 2025)
    • Automotive
        • Lighting System
        • HUD
        • Biometric Access
        • Others
    • Consumer Electronics
        • Smartphone
        • Laptops & Tablets
        • Gaming Console
        • Smart TV
        • Set-Top Box
        • Head-Mount Display (HMD)
        • Others
    • Healthcare
        • Sign Language
        • Lab & Operating Rooms
        • Diagnosis
        • Others
    • Advertisement & Communication
        • Hospitality
        • Educational Hubs

Regional Outlook (Revenue, USD Million; 2014 - 2025)
    • North America
        • U.S.
        • Canada
        • Mexico
    • Europe
        • Germany
        • UK
        • France
    • Asia Pacific
        • China
        • India
        • Japan
    • South America
        • Brazil
    • Middle East and Africa (MEA)

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