Allied Market Research

Gesture Recognition Market Analysis and Industry Forecast, 2017-2023

This report provides an extensive analysis of the current and emerging market trends and dynamics in the global gesture recognition market.


Portland, OR -- (SBWIRE) -- 08/29/2017 -- Gesture recognition is an innovative technology that interprets human motion with the help of a computing device. It involves various methods such as facial recognition, voice, IRIS, eye tracking, leg movement, and lip movement. It is an alternative user interface that provides real-time data to a computer system. The technological improvements in the gesture recognition market along with the need to deliver remote less gesture presentations in the enterprise environment is expected to provide great opportunities for major players in the gesture recognition market.

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Low installation expense and enhanced user experience in various applications predominantly drive the market. The implementation of gesture recognition technology in smart phones and automotive equipment fuel the development of this technology. However, lack of awareness of the end users and complex framework for manufacturers restrict the market growth across all major regions.

The report segments the gesture recognition market on the basis of component type, authentication type, application, and geography. According to the component type, the market is classified into touch-based systems and touchless systems. On the basis of authentication type, the market is segmented into finger print recognition, face recognition, vision and IRIS recognition, hand and leg recognition, and others. Based on the application, the market is categorized into gaming, aerospace and defense, automotive, hospitality, education, medical centers, and others. Geographically, the market is studied across North America, Europe, Asia-Pacific, and LAMEA.

Gesture Recognition Market Key Segments:

By Component Type

- Touch-Based System
- Touchless Systems

By Authentication Type

- Finger Print Recognition
- Face Recognition
- Vision and IRIS Recognition
- Hand and Leg Recognition

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By Application

- Gaming
- Aerospace and Defense
- Automotive
- Hospitality
- Education
- Medical Centers