2D Gesture Recognition Market

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.

2D Gesture Recognition Market contains market size and forecasts of 2D Gesture Recognition in Global, including the following market information:

Global 2D Gesture Recognition Market Revenue, 2017-2022, 2023-2028, ($ millions)

Global top five companies in 2021 (%)

The global 2D Gesture Recognition market was valued at 107.6 million in 2021 and is projected to reach US$ 555.2 million by 2028, at a CAGR of 26.4% during the forecast period.

The U.S. Market is Estimated at $ Million in 2021, While China is Forecast to Reach $ Million by 2028.

Static Gesture Recognition Segment to Reach $ Million by 2028, with a % CAGR in next six years.

The global key manufacturers of 2D Gesture Recognition include Microchip Technology, Megvii, Microsoft, Baidu, GestureTek, Sensetime, Ultraleap, Zienon and PointGrab and etc. In 2021, the global top five players have a share approximately % in terms of revenue.

We surveyed the 2D Gesture Recognition 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.

Total Market by Segment:

Global 2D Gesture Recognition Market, by Type, 2017-2022, 2023-2028 ($ millions)

Global 2D Gesture Recognition Market Segment Percentages, by Type, 2021 (%)

Static Gesture Recognition

Dynamic Gesture Recognition

Global 2D Gesture Recognition Market, by Application, 2017-2022, 2023-2028 ($ millions)

Global 2D Gesture Recognition Market Segment Percentages, by Application, 2021 (%)

Consumer Electronics

Game

Industrial and Building Automation

Others

Global 2D Gesture Recognition Market, By Region and Country, 2017-2022, 2023-2028 ($ Millions)

Global 2D Gesture Recognition Market Segment Percentages, By Region and Country, 2021 (%)

North America

US

Canada

Mexico

Europe

Germany

France

U.K.

Italy

Russia

Nordic Countries

Benelux

Rest of Europe

Asia

China

Japan

South Korea

Southeast Asia

India

Rest of Asia

South America

Brazil

Argentina

Rest of South America

Middle East & Africa

Turkey

Israel

Saudi Arabia

UAE

Rest of Middle East & Africa

Competitor Analysis

The report also provides analysis of leading market participants including:

Key companies 2D Gesture Recognition revenues in global market, 2017-2022 (estimated), ($ millions)

Key companies 2D Gesture Recognition revenues share in global market, 2021 (%)

Further, the report presents profiles of competitors in the market, key players include:

Microchip Technology

Megvii

Microsoft

Baidu

GestureTek

Sensetime

Ultraleap

Zienon

PointGrab

Crunchfish