Gesture Recognition Market delivers a succinct analysis on industry size, regional growth and revenue forecasts for the upcoming years. The report further sheds light on significant challenges and latest growth strategies adopted by manufacturers who are a part of the competitive spectrum of this business domain.
The study objectives of global market research report:
To analyze the global Gesture Recognition market on the basis of several business verticals such as drivers, restraints, and opportunities
It offers detailed elaboration on the global competitive landscape
To get an informative data of various leading key industries functioning across the global regions
It offers qualitative and quantitative analysis of the global Gesture Recognition market
It offers all-inclusive information of global market along with its features, applications, challenges, threats, and opportunities
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Gesture Recognition Market is valued at 6571.18 USD Million in 2018 and expected to reach USD 25551.99 Million by 2025 with the CAGR of 21.41% over the forecast period. the use of gesture recognition technology in gaming devices and gaming software through different sensing equipment is the driving factor for Gesture Recognition Market.
Gesture Recognition Market Key Players
Elliptic Laboratories A/S
Microchip Technology Incorporated
Leap Motion Incorporation
Fibar Group S.A.
Gesture Recognition Market Share
Gesture Recognition Market Revenue (USD Million) Analysis by Regional and Global, 2019-2025
The major players in this market are Gesturetek Inc., Microsoft Corporation, Elliptic Laboratories A/S, Sony Corporation, Microchip Technology Incorporated, Leap Motion Incorporation, Thalmic Labs Inc, Fibar Group S.A., Intel Corporation, Pyreos Limited, Eyesight Technologies Ltd, and Jabil Inc, are the key players in this market.
Gesture Recognition Market report published by the Brandessence Market Research and Consulting Pvt. Ltd. provides the detail information about Gesture Recognition market from various aspects. This report consists of drivers, challenges and opportunities which help the market to grow over the analysis period and recent trends which supports the growth of market. This report consists of regional segmentation with product type and applications.
Gesture recognition is the process of introducing gestures made by user to the system through different sensing equipment for a better interaction between man and machine. It can also be defined as the mathematical interpretation of a human motion by a computing device. Touch based gestures use touch pad or touch screen to be effective in various applications like sale terminals, PDAs, various industrial and automotive applications for controlling cursors on a PC or mobile. Device based gesture techniques use gloves, stylus, position trackers etc. whose movements send signals that system uses to identify the gesture. Other technologies that are used in gesture recognition technologies are vision-based techniques for security purpose and electrical field sensing for industrial purpose.
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Gesture Recognition Market Segmentation –
2D Camera-Based Technology
3D Vision Technologies
By End User
Gesture Recognition Market Analysis
Gesture Recognition technology is used in new applications like AR / VR, in which the gesture recognition devices sense real 3D world and construct them in virtual world. It is also applied in robotics and automated vehicle system for automation purpose. Other applications are face recognition, gesture and proximity detection for gaming security purpose. It can be said that Gesture Recognition is used to make machines and computers more intelligent. The real driving factor of gesture recognition market is its application and use in various sectors like consumer electronics, automation, robotics, security and surveillance, defense, motion detectors, healthcare etc. Today’s tech savvy consumer base has several expectation virtual reality and more integrated interaction between machine and human. These expectations are being delivered by several players launching advanced device every year. Combination of computer vision and Gesture Recognition technology, which helps in improvement of CV algorithms to do more advanced works is an opportunity for this market.
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