Gesture Recognition Market, By Component Type ( Touched System and Touchless System), By End-Use Industry (Automotive, Aerospace & Defense, Healthcare, Retail, Gaming and Others), By Region (North America, Europe, Asia Pacific, Latin America, Middle East,

Gesture Recognition Market, By Component Type ( Touched System and Touchless System), By End-Use Industry (Automotive, Aerospace & Defense, Healthcare, Retail, Gaming and Others), By Region (North America, Europe, Asia Pacific, Latin America, Middle East, and Africa) - Size, Share, Outlook, and Opportunity Analysis, 2022 - 2030

Gesture recognition is technology that understands human gestures and actions such as the movement of the finger, hand, head, arm, or the entire body. Gesture recognition technology allows users to operate and control devices with their gestures. For instance, users can move the cursor by pointing fingers at the screen. Gesture recognition uses different sensors such as infrared sensors, image sensors, and others to recognize and interact with devices. Gesture recognition technology is used in many industries such as automotive, retail, aerospace & defense, healthcare, and others. The increasing demand for touchless sensing technology in smartphones and touchless biometric solutions with upgraded tracking and monitoring functionalities is expected to create lucrative opportunities for the market growth.

The Global Gesture Recognition market was valued for US$ 14148.4 Mn in 2021.

Market Dynamics

The global gesture recognition market is expected to witness significant growth during the forecast period owing to adoption of AI-based gesture recognition in the retail sector. Through AI-based gesture recognition, retailers can check popularity of an item through consumer facial and hand gestures. Retailers can analyze how shoppers are reacting to different products in-store and can determine the potential of a product for sale. For instance, in March 2019, Amazon.com, Inc. launched an enhanced to face analysis feature of ReKognition (cloud-based software). Through these enhancements, retailers are able to detect the moods of customers. Furthermore, in July 2017, Walmart developed facial recognition technology to detect frustrated and unhappy shoppers. Through this technology, retailers can easily assess whether new items are working in a store or not and can predict the best place for products to position production for better results. By using AI-based gesture recognition technology, the retailer can use predictive data to determine consumer preference and shopping habits and display those items that customers are most likely to purchase.

Furthermore, many global players across different regions are focusing on developing new products with new features and technologies to remain competitive in the market. Industries are focusing on expanding their businesses by using various expansion strategies such as partnerships, collaborations, and mergers to cater to demand from end-users. For instance, in August 2017, Jabil Inc., a U.S. based manufacturing Services Company, announced a partnership with eyesight Technologies, an Israel-based company that develops artificial intelligence technologies. Through this partnership, these companies have developed in-car sensing technology to detect the presence of drivers and improve human machine interface.

Key features of the study:

• This report provides in-depth analysis of the global gesture recognition market size (US$ Billion) and compound annual growth rate (CAGR %) for the forecast period (2022– 2030), considering 2021 as the base year
• It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market
• This study also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, regional outlook, and competitive strategies adopted by the leading market players
• It profiles leading players in the global gesture recognition market based on the following parameters – company overview, financial performance, product portfolio, geographical presence, market capital, key developments, strategies, and future plans
• Companies covered as a part of this study are Intel Corporation, Qualcomm Technologies, Inc., IBM Corporation, Google Inc., Microsoft, Facebook, Inc., Samsung Electronics Co., Ltd., Baidu Inc, Cisco Systems, Inc., Apple, Inc., Infineon Technologies AG, PointGrab Inc., Elliptic Laboratories A/S, Microchip Technology Inc., OmniVision Technologies, Inc., OMRON Corporation, Sony Corporation, Texas Instruments Incorporated, Sony Depthsensing Solutions, Jabil Inc., and Ultraleap
• Insights from this report would allow marketers and management authorities of companies to make informed decisions regarding future product launches, product upgrades, market expansion, and marketing tactics
• The global gesture recognition market report caters to various stakeholders in this industry including investors, suppliers, managed service providers, third-party service providers, distributors, new entrants, and value-added resellers
• Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global gesture recognition market.

Detailed Segmentation

• Global Gesture Recognition Market, By Component Type:
• Touched System
• Touchless System
• Global Gesture Recognition Market, By End-Use Industry:
• Automotive
• Aerospace & Defense
• Consumer Electronics
• Healthcare
• Retail
• Gaming
• Others
• Global Gesture Recognition Market, By Region:
• North America
• Europe
• Asia Pacific
• Latin America
• Middle East and Africa
• Company Profiles
• Intel Corporation *
• Company Overview
• Product Portfolio
• Financial Performance
• Key Strategies
• Recent Developments
• Qualcomm Technologies, Inc.
• IBM Corporation
• Google Inc.
• Microsoft
• Facebook, Inc.
• Samsung Electronics Co., Ltd.
• Baidu Inc
• Cisco Systems, Inc.
• Apple, Inc.
• Infineon Technologies AG
• PointGrab Inc.
• Elliptic Laboratories A/S
• Microchip Technology Inc.
• OmniVision Technologies, Inc.
• OMRON Corporation
• Sony Corporation
• Texas Instruments Incorporated
• Sony Depthsensing Solutions
• Jabil Inc.
• Ultraleap

“*” marked represents similar segmentation in other categories in the respective section.