Global 2D Gesture Recognition Market 2025 by Company, Regions, Type and Application, Forecast to 2031
According to our (Global Info Research) latest study, the global 2D Gesture Recognition market size was valued at US$ 140 million in 2024 and is forecast to a readjusted size of USD 731 million by 2031 with a CAGR of 27.0% during review period.
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.
This report is a detailed and comprehensive analysis for global 2D Gesture Recognition market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global 2D Gesture Recognition market size and forecasts, in consumption value ($ Million), 2020-2031
Global 2D Gesture Recognition market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global 2D Gesture Recognition market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global 2D Gesture Recognition market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for 2D Gesture Recognition
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global 2D Gesture Recognition market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Microchip Technology, Megvii, Microsoft, Baidu, GestureTek, Sensetime, Ultraleap, Zienon, PointGrab, Crunchfish, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
2D Gesture Recognition market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Static Gesture Recognition
Dynamic Gesture Recognition
Market segment by Application
Consumer Electronics
Game
Industrial and Building Automation
Others
Market segment by players, this report covers
Microchip Technology
Megvii
Microsoft
Baidu
GestureTek
Sensetime
Ultraleap
Zienon
PointGrab
Crunchfish
Holtek (Best Modules)
Ezxr Advamced Tech
Motion Gestures
Intel
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe 2D Gesture Recognition product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of 2D Gesture Recognition, with revenue, gross margin, and global market share of 2D Gesture Recognition from 2020 to 2025.
Chapter 3, the 2D Gesture Recognition competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and 2D Gesture Recognition market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of 2D Gesture Recognition.
Chapter 13, to describe 2D Gesture Recognition research findings and conclusion.