Overview

Global Gesture Recognition Market Introduction

The global gesture recognition market was valued at USD 6.3 billion by 2029 end and is projected to register a CAGR of 22.5% from the forecast period 2019-2029.

Gesture recognition explicates human motion with the assistance of a computer. Gesture recognition includes diverse options such as IRIS, eye tracking, and facial recognition. Advancement in technologies coupled with the growing need to release without remote gesture presentations is predicted to provide lucrative opportunities for the prominent players of the market. The rapid demand of smartphones, tablets, smart tv's and cameras with in-built gesture recognition is augmenting the market. Expansion of automotive and medical centers is also thriving in the market. Rapid urbanization remains the key reason behind the expansion of these industries. Ever greater use of consumer electronics, Rest Internet of Things (IoT) implementation and an increasing need for comfort and convenience in the use of products are also boosting the market.

Global Gesture Recognition Market Overview

The market is segmented into authentication type, component type, application and by region. Component types consist of touch-based and touchless systems. Touch-based is expected to be the key market trends during the forecast period. Presence of fingerprint scanner and other touch-based recognition in laptops and smartphone remains the key reason behind the growth. Touchless based is expected to hold significant share since it reduces the time by utilizing touchless sensors which track the user's body gestures. It’s expected to be widely deployed in hospitals.

Based on the authentication type, the market consist of fingerprint recognition, face recognition, vision & IRIS recognition, hand & leg recognition, and others. Fingerprint recognition is expected to hold significant share during the forecast period.  Fingerprint recognition is widely used in education, automotive and consumer electronics. Technological advancements remain the key factor behind the expansion of the market.

On the basis of application, the market is bifurcated into automotive, hospitality, education and others. Automotive is expected to boost the growth of the market during the forecast period. Advancements in automotive in the form of blind-spot detection and reducing touch latency is positively influencing the market. Widespread implementation of vehicle safety and intelligence is inflating the market.

In terms of region, North America remains accounts for a large share of the market. The rapid adoption of smart technologies coupled with the rapid expansion of automation industry remains the key factor behind the inflation of the market in the region. Presence of prominent players in the region is also accelerating the presence of the market. Asia-Pacific is also expected to proliferate the market during the forecast period. Rising demand for smart technologies coupled with rapid growth and advancement of the automotive sector is driving the growth of the market in the region.

Some of the major companies operating in the global market are Intel Corporation, Google Inc., Microsoft Corporation, Apple Inc., Softkinetic, Qualcomm Technologies, Inc., GestureTek, Inc.,  eyeSight Technologies Ltd., Omron Corporation and Movea SA among others.

Global Gesture Recognition Market Segmentation:

By Component Type

  • Touch-based system
  • Touch less system

By Authentication Type

  • Finger Print Recognition
  • Face Recognition,
  • Vision & Iris recognition
  • Hand & Leg Recognition
  • Others

By Application

  • Automotive
  • Hospitality
  • Others

By Region

Additional Insights:

  • Management identification is the transformation by using a mathematical algorithm of the hominid motion or signal to a command. It allows everyone to interlink with the device as an input mechanism to execute the required activities on a scheme in the lack of any physical device.
  • The technique interprets the motion and gestures of people, like hand motion, fingers, arms, head motion or all of the body. It enables users only to use their gestures to run and control equipment.
  • To recognize different hand gestures, multiple kinds of sensing methods are used. Multiple signals for pattern recognition are obtained by sensing methods.
  • Various types of advanced prototypes are simple to use and comprehend and are cheaper than traditional interface systems such as the mouse and the keyboard. Hand gestures are extremely expressive for interacting with and communicating data with the setting.

FutureWise Key Takeaways

  • Touch-based systems and fingerprint recognition are expected to drive the growth of the market during the forecast period.
  • Advancement of technology alongside the expansion of the automotive and consumer electronics remain the key reason behind the positive influence on gesture recognition. 

Objectives of the Study:

  • To provide an exhaustive analysis of the global gesture recognition market on the basis of component type, authentication type, application, and regions
  • To cater comprehensive information on factors impacting market growth (drivers, restraints, opportunities, and industry-specific restraints)
  • To evaluate and forecast micro-markets and the overall market 
  • To predict the market size, in key regions (along with countries)—North America, Europe, Asia Pacific, Latin America, and the rest of  the world
  • To record evaluate and competitive landscape mapping- product launches, technological advancements, mergers and expansions
  • Profiling of companies to evaluate their market shares, strategies, financials and core competencies  

 

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What you get


  • Excel Dataset

  • Infographics

  • PDF Report

  • Market Overview

  • PowerPoint Presentation

What's included


  • Consumer Perception and Procurement

  • Competitive Analysis

  • What’s Next

  • Market Data Forecast

  • Risks and Opportunity Assessment

  • Market Trends and Dynamics