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The global 2D Gesture Recognition Systems market was valued at US$ 107.6 million in 2022 and is projected to reach US$ 159.1 million by 2029, at a CAGR of 5.7% during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
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.
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.
This report aims to provide a comprehensive presentation of the global market for 2D Gesture Recognition Systems, 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. This report contains market size and forecasts of 2D Gesture Recognition Systems in global, including the following market information:
We surveyed the 2D Gesture Recognition Systems companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Global 2D Gesture Recognition Systems Market, by Type, 2018-2023, 2024-2029 ($ millions)
Global 2D Gesture Recognition Systems Market Segment Percentages, by Type, 2022 (%)
Global 2D Gesture Recognition Systems Market, by Application, 2018-2023, 2024-2029 ($ millions)
Global 2D Gesture Recognition Systems Market Segment Percentages, by Application, 2022 (%)
Global 2D Gesture Recognition Systems Market, By Region and Country, 2018-2023, 2024-2029 ($ Millions)
Global 2D Gesture Recognition Systems Market Segment Percentages, By Region and Country, 2022 (%)
The report also provides analysis of leading market participants including:
Key companies 2D Gesture Recognition Systems revenues in global market, 2018-2023 (estimated), ($ millions)
Aptiv
Sony
Outline of Major Chapters:
Chapter 1: Introduces the definition of 2D Gesture Recognition Systems, market overview.
Chapter 2: Global 2D Gesture Recognition Systems market size in revenue.
Chapter 3: Detailed analysis of 2D Gesture Recognition Systems company competitive landscape, revenue and 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: Sales of 2D Gesture Recognition Systems in regional level and country level. 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 of each country in the world.
Chapter 7: 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 8: The main points and conclusions of the report.