GVR Report cover Gesture Recognition Market Size, Share & Trends Report

Gesture Recognition Market Size, Share & Trends Analysis Report By Technology (Touch-based, Touchless), By Industry (Automotive, Consumer Electronics, Healthcare), By Region, And Segment Forecasts, 2022 - 2030

  • Report ID: GVR-2-68038-019-4
  • Number of Pages: 100
  • Format: Electronic (PDF)
  • Historical Range: 2017 - 2020
  • Industry: Technology

Report Overview

The gesture recognition market size was valued at USD 14.08 billion in 2021 and is expected to expand at a compound annual growth rate (CAGR) of 19.1% from 2022 to 2030. The market is expected to benefit from increasing per capita incomes globally, technological advancements, and increasing digitization across industries such as automotive, consumer electronics, and healthcare. The rising use of consumer electronics, growing implementation of the Internet of Things (IoT), and increasing need for comfort and convenience in product usage are also driving market growth.

China gesture recognition market size, by industry, 2020 - 2030 (USD Billion)

Gesture recognition is the conversion of a hominid movement or gesture to a machine command using a mathematical algorithm. The technology enables any person to interact with a machine using human gestures and movements, such as the movement of hands, fingers, arms, head, or the entire body. It allows the user to operate and control devices merely with these gestures without the need for physical devices such as touch screens, keyboards, and mouses. For instance, users can move a cursor by simply pointing their finger at a screen.

Gesture recognition technology has improved the usability of several machines and the adoption of many innovative applications in various industries. It processes the information conveyed by humans through gestures or speech. The machine identifies the gesture types and converts sign language symbols into text through language recognition technology. The direction in which the user points helps process and interpret gestures with accuracy.

Hand gesture recognition is one of the most popular research areas in Human-Machine Interaction (HMI) and Human-Computer Interaction (HCI). Its applications range from medical rehabilitation to consumer electronics control. Different sensing techniques are used to identify hand gestures and obtain signals for pattern recognition.

Several kinds of prototypes have been developed to make hand gesture recognition more cost-effective than traditional interface devices such as keyboards and mouses. The increased interest of leading vendors can be attributed to the fact that hand gestures are highly expressive and interact well with the environment or share information efficiently.

Industry Insights

The consumer electronics segment dominated the market in 2021 and accounted for a revenue share of 60.8%. Ease of adoption due to low technical complexity for end-users has made allowed the consumer electronics industry to acquire a major share in the gesture recognition market. The rising use of consumer electronics and the Internet of Things and an increasing need for comfort and convenience in product usage are driving the adoption of gesture recognition in consumer electronics.

For instance, the automotive and healthcare sectors have rigorously adopted gesture recognition technology. This technology helps users interact with computers and other devices with ease and enhances human-machine interaction. It also allows physically disabled people to operate machines.

Several organizations are focusing on expanding the use cases of gesture recognition by combining it with touchless multifactor authentication. For instance, in September 2021, Alcatraz AI, a provider of physical security technologies solutions, introduced its new authentication solution, the Rock. The solution helped minimize touchpoints and offered facemask verification to ensure the maximum safety of employees amid the COVID-19 pandemic.

Increased awareness about regulations and driver safety has increased the demand for gesture recognition systems in the automobile industry. Manufacturers and OEMs are focusing on improving the driving experience and reducing driver distraction with the help of gesture recognition. For instance, in January 2020, Cerence Inc., a developer of AI assistance technology for automobiles, introduced innovations across its Clarence Drive platform, including button-free, gesture-based interactions to create a natural and human-like in-car experience.

Technology Insights

The touch-based technology segment dominated the market in 2021 with a revenue share of 53.2%. Among its two sub-segments, namely multi-touch system, and motion gesture technology, the multi-touch system sub-segment dominated with a revenue share of more than 54.6%. A variety of input devices are used to recognize gestures with the help of images or videos. Similarly, multiple technical environments are used to implement these gestures.

Global gesture recognition market share, by technology, 2021 (%)

In the touchless segment, the 3D vision technologies sub-segment dominated the market in 2021 with a revenue share of 26.5%. Evolving technologies such as infrared, electric field sensing, ultrasonic sensors, image sensors, interactive, and display capacitive sensors are finding increasing usage in applications such as smartphones, biometric access, Head-Up Displays (HUD), and medical diagnosis. The technology is expected to find promising growth avenues across the healthcare and automotive industries in the near future, thanks to benefits such as portability and high accuracy.

Regional Insights

In terms of revenue, the Asia Pacific region dominated the market with a share of 36.6% in 2021. The Asia Pacific is home to China and India, which are among the world’s fastest-growing economies and most populous countries. Increasing disposable incomes and growing industrial digitization across these and other countries in the region are driving the regional market.

The market in MEA and South American regions is expected to showcase promising growth over the forecast period. MEA has a dynamic young population with one of the highest global per capita incomes. Improvements in living standards, increase in spending capacity, and growing awareness about healthcare and sanitization are helping the market growth in emerging markets like the Middle East and Africa.

The North American and European regions are anticipated to witness steady growth over the forecast period. The automotive and healthcare industries in these regions are expected to witness increased adoption of gesture recognition over the forecast period. Similarly, 2D and 3D gesture recognition technologies are expected to deliver more realistic and interactive exposure to customer experience.

Key Companies & Market Share Insights

Promising growth opportunities in the market have led to intense competition among IT giants such as Apple, Intel Corp., Microsoft, and Google LLC. Domestic players are also showing tremendous growth potential and are attracting big investors. Several companies are expanding gesture recognition use cases for developing their gesture recognition consumer products, further intensifying market competition. Market players are focusing on strategies such as partnerships, business expansions, new product developments, and contracts to expand their market share. Some prominent players in the global gesture recognition market include:

  • Alphabet Inc.

  • Apple Inc.

  • eyeSight Technologies Ltd

  • Infineon Technologies AG

  • Intel Corporation

  • Microchip Technology Incorporated

  • Microsoft Corporation

  • QUALCOMM Incorporated

  • SOFTKINETIC

  • Synaptics Incorporated

Gesture Recognition Market Report Scope

Report Attribute

Details

Market size value in 2022

USD 17.29 billion

Revenue forecast in 2030

USD 70.18 billion

Growth rate

CAGR of 19.1% from 2022 to 2030

Base year for estimation

2021

Historical data

2017 - 2020

Forecast period

2022 - 2030

Quantitative units

Revenue in USD Million & CAGR from 2022 to 2030

Report coverage

Revenue forecast, company ranking, competitive landscape, growth factors, and trends

Segments covered

Technology, industry, region

Regional scope

North America; Europe; Asia Pacific; South America; MEA

Country scope

U.S.; Canada; Mexico; U.K.; Germany; France; Japan; China; India; Brazil

Key companies profiled

Alphabet Inc.; Apple Inc.; eyeSight Technologies Ltd; Infineon Technologies AG; Intel Corporation; Microchip Technology Incorporated; Microsoft Corporation; QUALCOMM Incorporated; SOFTKINETIC; Synaptics Incorporated

 

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Segments Covered in the Report

This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the global gesture recognition market report based on technology, industry, and region:

  • Technology Outlook (Revenue, USD Million, 2017 - 2030)

    • 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, 2017 - 2030)

    • 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, 2017 - 2030)

    • North America

      • U.S.

      • Canada

      • Mexico

    • Europe

      • Germany

      • U.K.

      • France

    • Asia Pacific

      • China

      • India

      • Japan

    • South America

      • Brazil

    • Middle East and Africa (MEA)

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