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According to our LPI (LP Information) latest study, the global 2D Gesture Recognition market size was valued at US$ 102.3 million in 2023. With growing demand in downstream market, the 2D Gesture Recognition is forecast to a readjusted size of US$ 596.2 million by 2030 with a CAGR of 28.6% during review period.
The research report highlights the growth potential of the global 2D Gesture Recognition market. 2D Gesture Recognition are expected to show stable growth in the future market. However, product differentiation, reducing costs, and supply chain optimization remain crucial for the widespread adoption of 2D Gesture Recognition. Market players need to invest in research and development, forge strategic partnerships, and align their offerings with evolving consumer preferences to capitalize on the immense opportunities presented by the 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.
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.
Key Features:
The report on 2D Gesture Recognition market reflects various aspects and provide valuable insights into the industry.
Market Size and Growth: The research report provide an overview of the current size and growth of the 2D Gesture Recognition market. It may include historical data, market Segmentation by Type (e.g., Static Gesture Recognition, Dynamic Gesture Recognition), and regional breakdowns.
Market Drivers and Challenges: The report can identify and analyse the factors driving the growth of the 2D Gesture Recognition market, such as government regulations, environmental concerns, technological advancements, and changing consumer preferences. It can also highlight the challenges faced by the industry, including infrastructure limitations, range anxiety, and high upfront costs.
Competitive Landscape: The research report provides analysis of the competitive landscape within the 2D Gesture Recognition market. It includes profiles of key players, their market share, strategies, and product offerings. The report can also highlight emerging players and their potential impact on the market.
Technological Developments: The research report can delve into the latest technological developments in the 2D Gesture Recognition industry. This include advancements in 2D Gesture Recognition technology, 2D Gesture Recognition new entrants, 2D Gesture Recognition new investment, and other innovations that are shaping the future of 2D Gesture Recognition.
Downstream Procumbent Preference: The report can shed light on customer procumbent behaviour and adoption trends in the 2D Gesture Recognition market. It includes factors influencing customer ' purchasing decisions, preferences for 2D Gesture Recognition product.
Government Policies and Incentives: The research report analyse the impact of government policies and incentives on the 2D Gesture Recognition market. This may include an assessment of regulatory frameworks, subsidies, tax incentives, and other measures aimed at promoting 2D Gesture Recognition market. The report also evaluates the effectiveness of these policies in driving market growth.
Environmental Impact and Sustainability: The research report assess the environmental impact and sustainability aspects of the 2D Gesture Recognition market.
Market Forecasts and Future Outlook: Based on the analysis conducted, the research report provide market forecasts and outlook for the 2D Gesture Recognition industry. This includes projections of market size, growth rates, regional trends, and predictions on technological advancements and policy developments.
Recommendations and Opportunities: The report conclude with recommendations for industry stakeholders, policymakers, and investors. It highlights potential opportunities for market players to capitalize on emerging trends, overcome challenges, and contribute to the growth and development of the 2D Gesture Recognition market.
Market Segmentation:
2D Gesture Recognition market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
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