
According to the type of camera (2D camera, depth camera), it can be divided into two categories: 1) 2D gesture recognition based on 2D camera and 2) 3D gesture recognition based on 3D camera (such as Microsoft Kinnect). Early gesture recognition is based on two-dimensional color image recognition technology. The so-called two-dimensional color image refers to the two-dimensional static image obtained after the scene is shot by the ordinary camera, and then the content in the image is recognized by the computer graphics algorithm. Two-dimensional hand recognition can only identify a few static gestures, and these gestures must be preset in advance. Compared with 2D gesture recognition, 3D gesture recognition adds a Z-axis information, which can recognize various hand shapes, gestures and movements. Three-dimensional gesture recognition is also the main direction of gesture recognition development. However, this kind of gesture recognition, which contains some depth information, needs special hardware to realize. The common ones are sensors and optical cameras. The most important part of gesture recognition includes the tracking of gesture and the subsequent computer data processing. Gesture capture is mainly achieved through optical and sensor two ways. Gesture recognition prediction algorithms, including template matching technology (used in two-dimensional gesture recognition technology), through statistical sample features and deep learning neural network technology.
The global market for 2D Gesture Recognition Systems was estimated to be worth US$ 104.6 million in 2023 and is forecast to a readjusted size of US$ 158.6 million by 2030 with a CAGR of 6.0% during the forecast period 2024-2030
In 2019, North America is the main region market with about 47% market share. China and Europe are follower.
The main companies are Microchip Technology, Megvii, Microsoft, Baidu, GestureTek, Sensetime, Ultraleap, Zienon, PointGrab, Crunchfish etc. Top 3 companies occupied over 52% market share in 2019. In China region market, Megvii is the largest manufacturer with over 38% market share in 2019.
Report Scope
This report aims to provide a comprehensive presentation of the global market for 2D Gesture Recognition Systems, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of 2D Gesture Recognition Systems by region & country, by Type, and by Application.
The 2D Gesture Recognition Systems market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding 2D Gesture Recognition Systems.
Market Segmentation
By Company
Aptiv
Sony
Continental
Sensetime
Segment by Type:
TOF
Structured Light
Binocular Stereo Imaging
Segment by Application
Conventional Energy Vehicle
New Energy Vehicles
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of 2D Gesture Recognition Systems manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of 2D Gesture Recognition Systems in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of 2D Gesture Recognition Systems in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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1 Market Overview
1.1 2D Gesture Recognition Systems Product Introduction
1.2 Global 2D Gesture Recognition Systems Market Size Forecast
1.3 2D Gesture Recognition Systems Market Trends & Drivers
1.3.1 2D Gesture Recognition Systems Industry Trends
1.3.2 2D Gesture Recognition Systems Market Drivers & Opportunity
1.3.3 2D Gesture Recognition Systems Market Challenges
1.3.4 2D Gesture Recognition Systems Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global 2D Gesture Recognition Systems Players Revenue Ranking (2023)
2.2 Global 2D Gesture Recognition Systems Revenue by Company (2019-2024)
2.3 Key Companies 2D Gesture Recognition Systems Manufacturing Base Distribution and Headquarters
2.4 Key Companies 2D Gesture Recognition Systems Product Offered
2.5 Key Companies Time to Begin Mass Production of 2D Gesture Recognition Systems
2.6 2D Gesture Recognition Systems Market Competitive Analysis
2.6.1 2D Gesture Recognition Systems Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by 2D Gesture Recognition Systems Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in 2D Gesture Recognition Systems as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 TOF
3.1.2 Structured Light
3.1.3 Binocular Stereo Imaging
3.2 Global 2D Gesture Recognition Systems Sales Value by Type
3.2.1 Global 2D Gesture Recognition Systems Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global 2D Gesture Recognition Systems Sales Value, by Type (2019-2030)
3.2.3 Global 2D Gesture Recognition Systems Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Conventional Energy Vehicle
4.1.2 New Energy Vehicles
4.2 Global 2D Gesture Recognition Systems Sales Value by Application
4.2.1 Global 2D Gesture Recognition Systems Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global 2D Gesture Recognition Systems Sales Value, by Application (2019-2030)
4.2.3 Global 2D Gesture Recognition Systems Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global 2D Gesture Recognition Systems Sales Value by Region
5.1.1 Global 2D Gesture Recognition Systems Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global 2D Gesture Recognition Systems Sales Value by Region (2019-2024)
5.1.3 Global 2D Gesture Recognition Systems Sales Value by Region (2025-2030)
5.1.4 Global 2D Gesture Recognition Systems Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America 2D Gesture Recognition Systems Sales Value, 2019-2030
5.2.2 North America 2D Gesture Recognition Systems Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe 2D Gesture Recognition Systems Sales Value, 2019-2030
5.3.2 Europe 2D Gesture Recognition Systems Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific 2D Gesture Recognition Systems Sales Value, 2019-2030
5.4.2 Asia Pacific 2D Gesture Recognition Systems Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America 2D Gesture Recognition Systems Sales Value, 2019-2030
5.5.2 South America 2D Gesture Recognition Systems Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa 2D Gesture Recognition Systems Sales Value, 2019-2030
5.6.2 Middle East & Africa 2D Gesture Recognition Systems Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions 2D Gesture Recognition Systems Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions 2D Gesture Recognition Systems Sales Value
6.3 United States
6.3.1 United States 2D Gesture Recognition Systems Sales Value, 2019-2030
6.3.2 United States 2D Gesture Recognition Systems Sales Value by Type (%), 2023 VS 2030
6.3.3 United States 2D Gesture Recognition Systems Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe 2D Gesture Recognition Systems Sales Value, 2019-2030
6.4.2 Europe 2D Gesture Recognition Systems Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe 2D Gesture Recognition Systems Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China 2D Gesture Recognition Systems Sales Value, 2019-2030
6.5.2 China 2D Gesture Recognition Systems Sales Value by Type (%), 2023 VS 2030
6.5.3 China 2D Gesture Recognition Systems Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan 2D Gesture Recognition Systems Sales Value, 2019-2030
6.6.2 Japan 2D Gesture Recognition Systems Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan 2D Gesture Recognition Systems Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea 2D Gesture Recognition Systems Sales Value, 2019-2030
6.7.2 South Korea 2D Gesture Recognition Systems Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea 2D Gesture Recognition Systems Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia 2D Gesture Recognition Systems Sales Value, 2019-2030
6.8.2 Southeast Asia 2D Gesture Recognition Systems Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia 2D Gesture Recognition Systems Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India 2D Gesture Recognition Systems Sales Value, 2019-2030
6.9.2 India 2D Gesture Recognition Systems Sales Value by Type (%), 2023 VS 2030
6.9.3 India 2D Gesture Recognition Systems Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Aptiv
7.1.1 Aptiv Profile
7.1.2 Aptiv Main Business
7.1.3 Aptiv 2D Gesture Recognition Systems Products, Services and Solutions
7.1.4 Aptiv 2D Gesture Recognition Systems Revenue (US$ Million) & (2019-2024)
7.1.5 Aptiv Recent Developments
7.2 Sony
7.2.1 Sony Profile
7.2.2 Sony Main Business
7.2.3 Sony 2D Gesture Recognition Systems Products, Services and Solutions
7.2.4 Sony 2D Gesture Recognition Systems Revenue (US$ Million) & (2019-2024)
7.2.5 Sony Recent Developments
7.3 Continental
7.3.1 Continental Profile
7.3.2 Continental Main Business
7.3.3 Continental 2D Gesture Recognition Systems Products, Services and Solutions
7.3.4 Continental 2D Gesture Recognition Systems Revenue (US$ Million) & (2019-2024)
7.3.5 Sensetime Recent Developments
7.4 Sensetime
7.4.1 Sensetime Profile
7.4.2 Sensetime Main Business
7.4.3 Sensetime 2D Gesture Recognition Systems Products, Services and Solutions
7.4.4 Sensetime 2D Gesture Recognition Systems Revenue (US$ Million) & (2019-2024)
7.4.5 Sensetime Recent Developments
8 Industry Chain Analysis
8.1 2D Gesture Recognition Systems Industrial Chain
8.2 2D Gesture Recognition Systems Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 2D Gesture Recognition Systems Sales Model
8.5.2 Sales Channel
8.5.3 2D Gesture Recognition Systems Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
Aptiv
Sony
Continental
Sensetime
Ìý
Ìý
*If Applicable.
