Global Gesture Recognition Market 2021 (Includes Business Impact of COVID-19)

                                          
Report updated on 11th September, 2021: Global Gesture Recognition Market 2021 (Includes Business Impact of COVID-19)
Global Gesture Recognition Market Analysis Trends, Applications, Analysis, Growth, and Forecast to 2030 is a recent report generated by Trusted Business Insights. The global gesture recognition market report has been segmented on the basis of technology, end-use industry, and region.
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The global Gesture Recognition market size was valued at USD$6.68 billion in 2020 and is projected to reach USD $67.59 billion by 2030, and is anticipated to expand at a CAGR of 27.89% over the forecast period from 2020 to 2030.


Global Gesture Recognition Market: Overview


Gesture recognition is the ability of a computer to understand gestures and execute commands based on those gestures. This technology interprets human gestures and movements, such as movement of fingers, hands, arms, head, or entire body. It allows users to operate and control devices merely with their gestures.


Global Gesture Recognition Market: Dynamics


Technological advancements and increasing digitization across various industries such as automotive, consumer electronics, healthcare, etc., are major factors expected to drive growth of the global market over the forecast period.

In addition, increasing implementation of Internet of Things (IoT) and rising consumer demand for comfort and convenience in product usage are some other factor expected to further fuel growth of the target market over the forecast period.

Furthermore, rising awareness regarding regulations and driver safety is another factor expected to boost growth of the gesture recognition systems in automobile industry.

Moreover, increasing demand for mobile devices coupled with innovative gesture recognition features is another important factor expected to propel growth of the global market over the forecast period.

However, lack of awareness among end users and complex framework for manufacturers are major factor expected to restrain growth of the global market over the forecast period. In addition, high cost of technology is another factor expected to hamper growth of the target market over the forecast period.

Ongoing trend observe in the target market is increasing automation in various industries such as defense sector, retail sector, transit sector, medical, and automotive sector. This trend is further expected to support growth of the target market over the forecast period.

Technological advancements in gesture recognition in order to deliver remote less gesture presentations in organizations is expected to create potential revenue opportunities for players operating in the target market over the forecast period.


Global Gesture Recognition Market: Segment Analysis


Among the technology segments, the touchless gesture recognition technology segment is expected to register higher CAGR over the forecast period, owing to increasing implementation of touchless technology in healthcare and automotive applications.

Among the end-use industry segments, the consumer electronics segment is expected to register significant growth in terms of revenue over the forecast period, owing to increasing digitization across various end-use industries.


Global Gesture Recognition Market: Regional Analysis


The market in Asia Pacific is expected to dominate in the global market in terms of revenue over the forecasts period, owing to rapidly growing industrial digitization and increasing disposable income across various countries in the region. The markets in Middle East and Africa, and Latin America are expected to register significant growth in terms of revenue over the forecast period, owing to increasing awareness among consumers regarding healthcare and sanitization, and improving standard of living coupled with increasing spending capacity across various countries in this region.

The markets in North America and Europe are expected to register steady growth over the forecast period, owing to rising adoption of gesture recognition technology in automotive and healthcare industries in countries in these region.


Below are the active patents related to Gesture Recognition Market.


Patent Number: US8781221B2

Hand gesture recognition system

Abstract

A cost-effective and computationally efficient hand gesture recognition system for detecting and/or tracking a face region and/or a hand region in a series of images. A skin segmentation model is updated with skin pixel information from the face and iteratively applied to the pixels in the hand region, to more accurately identify the pixels in the hand region given current lighting conditions around the image. Shape features are then extracted from the image, and based on the shape features, a hand gesture is identified in the image. The identified hand gesture may be used to generate a command signal to control the operation of an application or system.

Application File Date: 2011-04-11

Application Granted Date: 2014-07-15

Current Assignee: Intel Corp

Patent Number: US9560044B2

Gesture-based signature authentication

Abstract

Embodiments of the invention are generally directed to systems, methods, devices, and machine-readable mediums for implementing gesture-based signature authentication. In one embodiment, a method may involve recording a first gesture-based signature and storing the recorded first gesture-based signature. Then the method compares the first gesture-based signature with a second gesture-based signature. Then the method verifies the first gesture-based signature as authentic when the first gesture-based signature is substantially similar to the second gesture-based signature.

Application File Date: 2016-02-19

Application Granted Date: 2017-01-31

Current Assignee: Intel Corp

Patent Number: US20110234638A1

Gesture recognition method and touch system incorporating the same

Abstract

A gesture recognition method includes detecting multiple pointers in close proximity to a touch surface to determine if the multiple pointers are being used to perform a known gesture. When the multiple pointers are being used to perform a known gesture, executing a command associated with the gesture. A touch system incorporating the gesture recognition method is also provided.

Application File Date: 2011-01-31

Application Granted Date: 2012-12-04

Current Assignee: Pixart Imaging Inc

Global Gesture Recognition Market Segmentation:

Segmentation by technology:

  
Touch-based Gesture Recognition
  
o Multi-Touch System
  
o Motion Gesture
  
Touchless Gesture Recognition
  
o Capacitive/Electric Field
  
o Infrared Array
  
o Ultrasonic Technology
  
o 2D Camera-Based Technology
  
o 3D Vision Technologies

Segmentation by end-use industry:

  
Aerospace & Defense
  
Automotive
  
Consumer Electronics
  
Healthcare
  
Other Industries (Educational Hub, Advertisement & Communication, Gaming)


Key Market Players included in the report:


  
Apple Inc. (US)
  
Cognitec Systems GmbH (Germany)
  
Elliptic Labs (Norway)
  
Eyesight Technologies Ltd. (Israel)
  
German Auto Labs GmbH (Germany)
  
Gesture Research (India)
  
GestureTek (Canada)
  
Google Inc. (US)
  
Infineon Technologies AG (Germany)
  
iPROOV Limited (UK)
  
IrisGuard (UK)
  
Microchip Technology Inc. (US)
  
OBLONG INDUSTRIES (US)
  
OmniVision Technologies Inc. (US)
  
pmdtechnologies ag (Germany)
  
PointGrab Inc. (Israel)
  
Sony Depthsensing Solutions SA/NV (Belgium)
  
Ultraleap (UK)
  
XYZ Interactive (Canada)


Below are the key development related to Gesture Recognition Market in 2020 and 2021.


April 2021: Insight LiDAR Develops Industry’s First “Gesture Detection” Sensing Technology for Autonomous Vehicle LiDAR Systems. Insight 1600 Capability Enables AV Systems to Detect Small Movements Even at Distance. Autonomous Vehicle (AV) technology company Insight LiDAR (www.insightlidar.com) announced that its product, Insight 1600, is the first LiDAR with the combined high resolution and velocity detection to enable pedestrian gesture recognition. The new capability -- demonstrated here -- can be used by AV perception teams to quickly and accurately predict the actions of pedestrians. Source 

September 2020: Amazon One: Palm scanner launched for secure payments. Amazon has announced a new payment system for real-world shops which uses a simple wave of the hand. Its new Amazon One scanner registers an image of the users palm, letting them pay by hovering their hand in mid-air "for about a second or so", it says. The product will be trialled at two of Amazons physical stores in Seattle. Source

January 2020: KaiKuTek develops CMOS-based radar technologies for gesture recognition. Taiwan startup KaiKuTek has manufactured a system-on-chip (SoC) solution that leverages mmWave radar technologies, antennas and AI accelerators for close-up recognition of fine gestures, writes Digi Times. Last year, the company announced it would compete with Google in the development of gesture-recognition systems, after the tech giant announced its new Pixel 4 smartphone would include two new human-machine interface (HMI) technologies: facial recognition and motion sensing.Source