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Global Gesture Recognition Market (2023-2028) Competitive Analysis, Impact of Covid-19, Impact of Economic Slowdown & Impending Recession, Ansoff Analysis

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    Report

  • 171 Pages
  • February 2024
  • Region: Global
  • Infogence Global Research
  • ID: 5568066

Ongoing subvocalized conversations, eye movement interactions, and gestures with something like an AI or Siri-servant will be common in the future

The Global Gesture Recognition Market is estimated to be USD 9.51 Bn in 2023 and is expected to reach USD 19.53 Bn by 2028 growing at a CAGR of 15.48%.

Market Dynamics

Market dynamics are forces that impact the prices and behaviors of the stakeholders. These forces create pricing signals which result from the changes in the supply and demand curves for a given product or service. Forces of Market Dynamics may be related to macro-economic and micro-economic factors. There are dynamic market forces other than price, demand, and supply. Human emotions can also drive decisions, influence the market, and create price signals.

As the market dynamics impact the supply and demand curves, decision-makers aim to determine the best way to use various financial tools to stem various strategies for speeding the growth and reducing the risks.

Market Segmentations

  • The Global Gesture Recognition Market is segmented based on Technology Type, Authentication, Applications, and Geography.
  • By Technology Type, the market is classified into Touch-Based and Touchless.
  • By Authentication, the market is classified into Face Recognition, Finger Print Recognition, Hand & Leg Recognition, and Vision & Iris Recognition.
  • By Applications, the market is classified into Aerospace & Défense, Automotive, Commercial Centers, Consumer Electronics, Educational Hubs, Gaming, Healthcare, Hospitality, and Others.
  • By Geography, the market is classified into Americas, Europe, Middle-East & Africa, and Asia-Pacific.

Company Profiles

The report provides a detailed analysis of the competitors in the market. It covers the financial performance analysis for the publicly listed companies in the market. The report also offers detailed information on the companies' recent development and competitive scenario. Some of the companies covered in this report are Elliptic Labs, Google Inc., Infineon Technologies Ag, Intel Corp., IrisGuard Ltd., etc.

Countries Studied

  • America (Argentina, Brazil, Canada, Chile, Colombia, Mexico, Peru, United States, Rest of Americas)
  • Europe (Austria, Belgium, Denmark, Finland, France, Germany, Italy, Netherlands, Norway, Poland, Russia, Spain, Sweden, Switzerland, United Kingdom, Rest of Europe)
  • Middle-East and Africa (Egypt, Israel, Qatar, Saudi Arabia, South Africa, United Arab Emirates, Rest of MEA)
  • Asia-Pacific (Australia, Bangladesh, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Sri Lanka, Thailand, Taiwan, Rest of Asia-Pacific)

Competitive Quadrant

The report includes Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.

Ansoff Analysis

  • The report presents a detailed Ansoff matrix analysis for the Global Gesture Recognition Market. Ansoff Matrix, also known as Product/Market Expansion Grid, is a strategic tool used to design strategies for the growth of the company. The matrix can be used to evaluate approaches in four strategies viz. Market Development, Market Penetration, Product Development and Diversification. The matrix is also used for risk analysis to understand the risk involved with each approach.
  • The publisher analyses the Global Gesture Recognition Market using the Ansoff Matrix to provide the best approaches a company can take to improve its market position.
  • Based on the SWOT analysis conducted on the industry and industry players, the publisher has devised suitable strategies for market growth.

Why buy this report?

  • The report offers a comprehensive evaluation of the Global Gesture Recognition Market. The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
  • The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
  • The report includes an in-depth market analysis using Porter's 5 forces model, PESTLE Analysis, and the Ansoff Matrix. In addition, the impact of COVID-19 and the impact of economic slowdown & impending recession on the market are also featured in the report.
  • The report also includes the regulatory scenario in the industry, which will help you make a well-informed decision. The report discusses major regulatory bodies and major rules and regulations imposed on this sector across various geographies.
  • The report also contains the competitive analysis using Positioning Quadrants, the Proprietary competitive positioning tool.

Report Highlights:

  • A complete analysis of the market, including parent industry
  • Important market dynamics and trends
  • Market segmentation
  • Historical, current, and projected size of the market based on value and volume
  • Market shares and strategies of key players
  • Recommendations to companies for strengthening their foothold in the market

Table of Contents

1 Report Description
1.1 Study Objectives
1.2 Market Definition
1.3 Currency
1.4 Years Considered
1.5 Language
1.6 Key Stakeholders
2 Research Methodology
2.1 Research Process
2.2 Data Collection and Validation
2.2.1 Secondary Research
2.2.2 Primary Research
2.2.3 Models
2.3 Market Size Estimation
2.3.1 Bottom-Up Approach
2.3.2 Top-Down Approach
2.4 Assumptions of the Study
2.5 Limitations of the Study
3 Executive Summary
3.1 Introduction
3.2 Market Size, Segmentations, and Outlook
4 Market Dynamics
4.1 Drivers
4.1.1 Rise in the Use Of Gesture Recognition Technologies in Fields of Automotive, Consumer Electronics, Healthcare, Gaming and Automation
4.1.2 Focus on Enhanced User Experience Supported by Increased Digitalization
4.2 Restraints
4.2.1 High Cost of Deployment and Development of Gesture Recognition Systems
4.2.2 Uncertain and Complex Regulatory Framework
4.3 Opportunities
4.3.1 Technologies with Gesture Control Integration
4.3.2 Increasing Demand for Smart Home
4.4 Challenges
4.4.1 Comparatively Higher Power Consumption
4.4.2 Technical Limitations Associated with the 3D Gesture Recognition and Object Extraction
5 Market Analysis
5.1 Regulatory Scenario
5.2 Porter's Five Forces Analysis
5.3 PESTLE Analysis
5.4 SWOT Analysis
5.5 Impact of COVID-19
5.6 Impact of Economic Slowdown & Impending Recession
5.7 Ansoff Matrix Analysis
6 Global Gesture Recognition Market, By Technology Type
6.1 Introduction
6.2 Touch-Based System
6.2.1 Motion Gesture
6.2.2 Multi-Touch System
6.3 Touchless System
6.3.1 2D Camera-Based
6.3.2 3D Vision Technologies
6.3.3 Capacitive or Electric Field
6.3.4 Infrared Array
6.3.5 Ultrasonic Technology
7 Global Gesture Recognition Market, By Authentication
7.1 Introduction
7.2 Face Recognition
7.3 Finger Print Recognition
7.4 Hand & Leg Recognition
7.5 Vision & Iris Recognition
8 Global Gesture Recognition Market, By Applications
8.1 Introduction
8.2 Aerospace & Defense
8.3 Automotive
8.4 Commercial Centers
8.5 Consumer Electronics
8.6 Educational Hubs
8.7 Gaming
8.8 Healthcare
8.9 Hospitality
8.10 Others
9 Americas' Gesture Recognition Market
9.1 Introduction
9.2 Argentina
9.3 Brazil
9.4 Canada
9.5 Chile
9.6 Colombia
9.7 Mexico
9.8 Peru
9.9 United States
9.10 Rest of Americas
10 Europe's Gesture Recognition Market
10.1 Introduction
10.2 Austria
10.3 Belgium
10.4 Denmark
10.5 Finland
10.6 France
10.7 Germany
10.8 Italy
10.9 Netherlands
10.10 Norway
10.11 Poland
10.12 Russia
10.13 Spain
10.14 Sweden
10.15 Switzerland
10.16 United Kingdom
10.17 Rest of Europe
11 Middle East and Africa's Gesture Recognition Market
11.1 Introduction
11.2 Egypt
11.3 Israel
11.4 Qatar
11.5 Saudi Arabia
11.6 South Africa
11.7 United Arab Emirates
11.8 Rest of MEA
12 APAC's Gesture Recognition Market
12.1 Introduction
12.2 Australia
12.3 Bangladesh
12.4 China
12.5 India
12.6 Indonesia
12.7 Japan
12.8 Malaysia
12.9 Philippines
12.10 Singapore
12.11 South Korea
12.12 Sri Lanka
12.13 Thailand
12.14 Taiwan
12.15 Rest of Asia-Pacific
13 Competitive Landscape
13.1 Competitive Quadrant
13.2 Market Share Analysis
13.3 Strategic Initiatives
13.3.1 M&A and Investments
13.3.2 Partnerships and Collaborations
13.3.3 Product Developments and Improvements
14 Company Profiles
14.1 Apple Inc.
14.2 Cipia Vision Ltd
14.3 Cognitec Systems GmbH
14.4 Elliptic Labs
14.5 German Auto Labs GmbH
14.6 Google Inc.
14.7 Infineon Technologies Ag
14.8 Intel Corp.
14.9 IrisGuard Ltd.
14.10 Microchip Technology Inc.
14.11 Microsoft Corp.
14.12 NXP Semiconductors N.V.
14.13 OmniVision Technologies, Inc.
14.14 OMRON Corp.
14.15 pmdtechnologies Ag
14.16 PointGrab Inc.
14.17 Qualcomm Technologies Inc.
14.18 Synaptics Inc.
14.19 TDK Corp.
14.20 Visteon Corp.
15 Appendix
15.1 Questionnaire

Companies Mentioned

  • Apple Inc.
  • Cipia Vision Ltd
  • Cognitec Systems GmbH
  • Elliptic Labs
  • German Auto Labs GmbH
  • Google Inc.
  • Infineon Technologies Ag
  • Intel Corp.
  • IrisGuard Ltd.
  • Microchip Technology Inc.
  • Microsoft Corp.
  • NXP Semiconductors N.V.
  • OmniVision Technologies, Inc.
  • OMRON Corp.
  • pmdtechnologies Ag
  • PointGrab Inc.
  • Qualcomm Technologies Inc.
  • Synaptics Inc.
  • TDK Corp.
  • Visteon Corp.

Table Information