Global 2D Gesture Recognition Market Growth (Status and Outlook) 2025-2031
The global 2D Gesture Recognition market size is predicted to grow from US$ 166 million in 2025 to US$ 752 million in 2031; it is expected to grow at a CAGR of 28.6% from 2025 to 2031.
Early gesture recognition was based on the recognition technology of two-dimensional color images. The so-called two-dimensional color image refers to the two-dimensional static image obtained after the scene is photographed by an ordinary camera, and then the content in the image is recognized by computer graphics algorithms. Two-dimensional hand shape recognition can only recognize a few static gestures, and these gestures must be preset in advance. Compared with two-dimensional gesture recognition, three-dimensional gesture recognition adds a Z-axis information, which can recognize various hand shapes, gestures and actions. Three-dimensional gesture recognition is also the main direction of gesture recognition development. However, this kind of gesture recognition containing certain depth information requires special hardware to implement. Common ones are completed by sensors and optical cameras. The most critical part of gesture recognition includes tracking gestures and subsequent computer data processing. Gesture capture is mainly achieved through optics and sensors. The algorithms for gesture recognition inference include template matching technology (used by two-dimensional gesture recognition technology), statistical sample features, and deep learning neural network technology. According to the type of camera (2D camera, depth camera), it can be divided into two categories: 1) two-dimensional gesture recognition based on 2D camera and 2) three-dimensional gesture recognition based on 3D camera (such as Microsoft's kinnect). This article focuses on gesture recognition using a 2D camera.
In 2023, 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 2023. In China region market, Megvii is the largest manufacturer with over 38% market share in 2023. One of the recent industrial developments in the market is the development of Multi-Modal Gesture Recognition Systems. Launched recently, these systems combine 2D gesture recognition with other modalities such as voice commands and facial expressions. This integration aims to create more comprehensive and intuitive interaction experiences, allowing users to communicate with devices using a combination of gestures, voice, and expressions. The launch of multi-modal gesture recognition represents a step forward in creating sophisticated and versatile human-computer interaction interfaces.
LPI (LP Information)' newest research report, the “2D Gesture Recognition Industry Forecast” looks at past sales and reviews total world 2D Gesture Recognition sales in 2024, providing a comprehensive analysis by region and market sector of projected 2D Gesture Recognition sales for 2025 through 2031. With 2D Gesture Recognition sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world 2D Gesture Recognition industry.
This Insight Report provides a comprehensive analysis of the global 2D Gesture Recognition landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on 2D Gesture Recognition portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global 2D Gesture Recognition market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for 2D Gesture Recognition and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global 2D Gesture Recognition.
This report presents a comprehensive overview, market shares, and growth opportunities of 2D Gesture Recognition market by product type, application, key players and key regions and countries.
Segmentation by Type:
Static Gesture Recognition
Dynamic Gesture Recognition
Segmentation by Application:
Consumer Electronics
Game
Industrial and Building Automation
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Microchip Technology
Megvii
Microsoft
Baidu
GestureTek
Sensetime
Ultraleap
Zienon
PointGrab
Crunchfish
Holtek (Best Modules)
Ezxr Advamced Tech
Motion Gestures
Intel
Please note: The report will take approximately 2 business days to prepare and deliver.