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Global 2D Gesture Recognition Market Research Report 2024
Synopsis
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 2D Gesture Recognition market was valued at US$ 104.6 million in 2023 and is anticipated to reach US$ 586.7 million by 2030, witnessing a CAGR of 27.6% 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.
This report aims to provide a comprehensive presentation of the global market for 2D Gesture Recognition, 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.
Report Scope
The 2D Gesture Recognition market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global 2D Gesture Recognition market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the 2D Gesture Recognition companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Microchip Technology
Megvii
Microsoft
Baidu
GestureTek
Sensetime
Ultraleap
Zienon
PointGrab
Crunchfish
Segment by Type
Static Gesture Recognition
Dynamic Gesture Recognition
Segment by Application
Consumer Electronics
Game
Industrial and Building Automation
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of 2D Gesture Recognition companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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 2D Gesture Recognition market was valued at US$ 104.6 million in 2023 and is anticipated to reach US$ 586.7 million by 2030, witnessing a CAGR of 27.6% 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.
This report aims to provide a comprehensive presentation of the global market for 2D Gesture Recognition, 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.
Report Scope
The 2D Gesture Recognition market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global 2D Gesture Recognition market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the 2D Gesture Recognition companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Microchip Technology
Megvii
Microsoft
Baidu
GestureTek
Sensetime
Ultraleap
Zienon
PointGrab
Crunchfish
Segment by Type
Static Gesture Recognition
Dynamic Gesture Recognition
Segment by Application
Consumer Electronics
Game
Industrial and Building Automation
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of 2D Gesture Recognition companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global 2D Gesture Recognition Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Static Gesture Recognition
1.2.3 Dynamic Gesture Recognition
1.3 Market by Application
1.3.1 Global 2D Gesture Recognition Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Consumer Electronics
1.3.3 Game
1.3.4 Industrial and Building Automation
1.3.5 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global 2D Gesture Recognition Market Perspective (2019-2030)
2.2 2D Gesture Recognition Growth Trends by Region
2.2.1 Global 2D Gesture Recognition Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 2D Gesture Recognition Historic Market Size by Region (2019-2024)
2.2.3 2D Gesture Recognition Forecasted Market Size by Region (2025-2030)
2.3 2D Gesture Recognition Market Dynamics
2.3.1 2D Gesture Recognition Industry Trends
2.3.2 2D Gesture Recognition Market Drivers
2.3.3 2D Gesture Recognition Market Challenges
2.3.4 2D Gesture Recognition Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top 2D Gesture Recognition Players by Revenue
3.1.1 Global Top 2D Gesture Recognition Players by Revenue (2019-2024)
3.1.2 Global 2D Gesture Recognition Revenue Market Share by Players (2019-2024)
3.2 Global 2D Gesture Recognition Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by 2D Gesture Recognition Revenue
3.4 Global 2D Gesture Recognition Market Concentration Ratio
3.4.1 Global 2D Gesture Recognition Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by 2D Gesture Recognition Revenue in 2023
3.5 2D Gesture Recognition Key Players Head office and Area Served
3.6 Key Players 2D Gesture Recognition Product Solution and Service
3.7 Date of Enter into 2D Gesture Recognition Market
3.8 Mergers & Acquisitions, Expansion Plans
4 2D Gesture Recognition Breakdown Data by Type
4.1 Global 2D Gesture Recognition Historic Market Size by Type (2019-2024)
4.2 Global 2D Gesture Recognition Forecasted Market Size by Type (2025-2030)
5 2D Gesture Recognition Breakdown Data by Application
5.1 Global 2D Gesture Recognition Historic Market Size by Application (2019-2024)
5.2 Global 2D Gesture Recognition Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America 2D Gesture Recognition Market Size (2019-2030)
6.2 North America 2D Gesture Recognition Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America 2D Gesture Recognition Market Size by Country (2019-2024)
6.4 North America 2D Gesture Recognition Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe 2D Gesture Recognition Market Size (2019-2030)
7.2 Europe 2D Gesture Recognition Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe 2D Gesture Recognition Market Size by Country (2019-2024)
7.4 Europe 2D Gesture Recognition Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific 2D Gesture Recognition Market Size (2019-2030)
8.2 Asia-Pacific 2D Gesture Recognition Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific 2D Gesture Recognition Market Size by Region (2019-2024)
8.4 Asia-Pacific 2D Gesture Recognition Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America 2D Gesture Recognition Market Size (2019-2030)
9.2 Latin America 2D Gesture Recognition Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America 2D Gesture Recognition Market Size by Country (2019-2024)
9.4 Latin America 2D Gesture Recognition Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa 2D Gesture Recognition Market Size (2019-2030)
10.2 Middle East & Africa 2D Gesture Recognition Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa 2D Gesture Recognition Market Size by Country (2019-2024)
10.4 Middle East & Africa 2D Gesture Recognition Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Microchip Technology
11.1.1 Microchip Technology Company Detail
11.1.2 Microchip Technology Business Overview
11.1.3 Microchip Technology 2D Gesture Recognition Introduction
11.1.4 Microchip Technology Revenue in 2D Gesture Recognition Business (2019-2024)
11.1.5 Microchip Technology Recent Development
11.2 Megvii
11.2.1 Megvii Company Detail
11.2.2 Megvii Business Overview
11.2.3 Megvii 2D Gesture Recognition Introduction
11.2.4 Megvii Revenue in 2D Gesture Recognition Business (2019-2024)
11.2.5 Megvii Recent Development
11.3 Microsoft
11.3.1 Microsoft Company Detail
11.3.2 Microsoft Business Overview
11.3.3 Microsoft 2D Gesture Recognition Introduction
11.3.4 Microsoft Revenue in 2D Gesture Recognition Business (2019-2024)
11.3.5 Microsoft Recent Development
11.4 Baidu
11.4.1 Baidu Company Detail
11.4.2 Baidu Business Overview
11.4.3 Baidu 2D Gesture Recognition Introduction
11.4.4 Baidu Revenue in 2D Gesture Recognition Business (2019-2024)
11.4.5 Baidu Recent Development
11.5 GestureTek
11.5.1 GestureTek Company Detail
11.5.2 GestureTek Business Overview
11.5.3 GestureTek 2D Gesture Recognition Introduction
11.5.4 GestureTek Revenue in 2D Gesture Recognition Business (2019-2024)
11.5.5 GestureTek Recent Development
11.6 Sensetime
11.6.1 Sensetime Company Detail
11.6.2 Sensetime Business Overview
11.6.3 Sensetime 2D Gesture Recognition Introduction
11.6.4 Sensetime Revenue in 2D Gesture Recognition Business (2019-2024)
11.6.5 Sensetime Recent Development
11.7 Ultraleap
11.7.1 Ultraleap Company Detail
11.7.2 Ultraleap Business Overview
11.7.3 Ultraleap 2D Gesture Recognition Introduction
11.7.4 Ultraleap Revenue in 2D Gesture Recognition Business (2019-2024)
11.7.5 Ultraleap Recent Development
11.8 Zienon
11.8.1 Zienon Company Detail
11.8.2 Zienon Business Overview
11.8.3 Zienon 2D Gesture Recognition Introduction
11.8.4 Zienon Revenue in 2D Gesture Recognition Business (2019-2024)
11.8.5 Zienon Recent Development
11.9 PointGrab
11.9.1 PointGrab Company Detail
11.9.2 PointGrab Business Overview
11.9.3 PointGrab 2D Gesture Recognition Introduction
11.9.4 PointGrab Revenue in 2D Gesture Recognition Business (2019-2024)
11.9.5 PointGrab Recent Development
11.10 Crunchfish
11.10.1 Crunchfish Company Detail
11.10.2 Crunchfish Business Overview
11.10.3 Crunchfish 2D Gesture Recognition Introduction
11.10.4 Crunchfish Revenue in 2D Gesture Recognition Business (2019-2024)
11.10.5 Crunchfish Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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