
Face recognition is one of the most important applications of computer vision. It is a biometric technology that uses computers to process, analyze and understand face images based on human facial feature information for identity recognition. A series of related technologies that use a video camera or camera to collect images or video streams containing human faces, automatically detect and track human faces in the images, and then perform facial recognition on the detected faces, usually also called portrait recognition and facial recognition. .
The global market for Computer Face Recognition was estimated to be worth US$ 6350 million in 2023 and is forecast to a readjusted size of US$ 16440 million by 2030 with a CAGR of 15.5% during the forecast period 2024-2030
North American market for Computer Face Recognition was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Computer Face Recognition was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for Computer Face Recognition was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of Computer Face Recognition include Sense Time, Beijing Megvii Technology Co., Ltd., Hikvision, Yitu Technology, Cloudwalk Technology, IBM, Amazon, Microsoft and Camvi Technologies, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Computer Face Recognition, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Computer Face Recognition by region & country, by Type, and by Application.
The Computer Face Recognition market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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 Computer Face Recognition.
Market Segmentation
By Company
Sense Time
Beijing Megvii Technology Co., Ltd.
Hikvision
Yitu Technology
Cloudwalk Technology
IBM
Amazon
Microsoft
Camvi Technologies
EverAI
Segment by Type:
Based on Facial Feature Points
Based on Whole Face Image
Template-Based Recognition Algorithm
Segment by Application
Authentication
Electronic Attendance
Customer Flow Analysis
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Colombia
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Computer Face Recognition manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Computer Face Recognition in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Computer Face Recognition in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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1 Market Overview
1.1 Computer Face Recognition Product Introduction
1.2 Global Computer Face Recognition Market Size Forecast
1.3 Computer Face Recognition Market Trends & Drivers
1.3.1 Computer Face Recognition Industry Trends
1.3.2 Computer Face Recognition Market Drivers & Opportunity
1.3.3 Computer Face Recognition Market Challenges
1.3.4 Computer Face Recognition Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Computer Face Recognition Players Revenue Ranking (2023)
2.2 Global Computer Face Recognition Revenue by Company (2019-2024)
2.3 Key Companies Computer Face Recognition Manufacturing Base Distribution and Headquarters
2.4 Key Companies Computer Face Recognition Product Offered
2.5 Key Companies Time to Begin Mass Production of Computer Face Recognition
2.6 Computer Face Recognition Market Competitive Analysis
2.6.1 Computer Face Recognition Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Computer Face Recognition Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Computer Face Recognition as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Based on Facial Feature Points
3.1.2 Based on Whole Face Image
3.1.3 Template-Based Recognition Algorithm
3.2 Global Computer Face Recognition Sales Value by Type
3.2.1 Global Computer Face Recognition Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Computer Face Recognition Sales Value, by Type (2019-2030)
3.2.3 Global Computer Face Recognition Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Authentication
4.1.2 Electronic Attendance
4.1.3 Customer Flow Analysis
4.2 Global Computer Face Recognition Sales Value by Application
4.2.1 Global Computer Face Recognition Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Computer Face Recognition Sales Value, by Application (2019-2030)
4.2.3 Global Computer Face Recognition Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Computer Face Recognition Sales Value by Region
5.1.1 Global Computer Face Recognition Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Computer Face Recognition Sales Value by Region (2019-2024)
5.1.3 Global Computer Face Recognition Sales Value by Region (2025-2030)
5.1.4 Global Computer Face Recognition Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Computer Face Recognition Sales Value, 2019-2030
5.2.2 North America Computer Face Recognition Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Computer Face Recognition Sales Value, 2019-2030
5.3.2 Europe Computer Face Recognition Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Computer Face Recognition Sales Value, 2019-2030
5.4.2 Asia Pacific Computer Face Recognition Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Computer Face Recognition Sales Value, 2019-2030
5.5.2 South America Computer Face Recognition Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Computer Face Recognition Sales Value, 2019-2030
5.6.2 Middle East & Africa Computer Face Recognition Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Computer Face Recognition Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Computer Face Recognition Sales Value
6.3 United States
6.3.1 United States Computer Face Recognition Sales Value, 2019-2030
6.3.2 United States Computer Face Recognition Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Computer Face Recognition Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Computer Face Recognition Sales Value, 2019-2030
6.4.2 Europe Computer Face Recognition Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Computer Face Recognition Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Computer Face Recognition Sales Value, 2019-2030
6.5.2 China Computer Face Recognition Sales Value by Type (%), 2023 VS 2030
6.5.3 China Computer Face Recognition Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Computer Face Recognition Sales Value, 2019-2030
6.6.2 Japan Computer Face Recognition Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Computer Face Recognition Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Computer Face Recognition Sales Value, 2019-2030
6.7.2 South Korea Computer Face Recognition Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Computer Face Recognition Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Computer Face Recognition Sales Value, 2019-2030
6.8.2 Southeast Asia Computer Face Recognition Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Computer Face Recognition Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Computer Face Recognition Sales Value, 2019-2030
6.9.2 India Computer Face Recognition Sales Value by Type (%), 2023 VS 2030
6.9.3 India Computer Face Recognition Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Sense Time
7.1.1 Sense Time Profile
7.1.2 Sense Time Main Business
7.1.3 Sense Time Computer Face Recognition Products, Services and Solutions
7.1.4 Sense Time Computer Face Recognition Revenue (US$ Million) & (2019-2024)
7.1.5 Sense Time Recent Developments
7.2 Beijing Megvii Technology Co., Ltd.
7.2.1 Beijing Megvii Technology Co., Ltd. Profile
7.2.2 Beijing Megvii Technology Co., Ltd. Main Business
7.2.3 Beijing Megvii Technology Co., Ltd. Computer Face Recognition Products, Services and Solutions
7.2.4 Beijing Megvii Technology Co., Ltd. Computer Face Recognition Revenue (US$ Million) & (2019-2024)
7.2.5 Beijing Megvii Technology Co., Ltd. Recent Developments
7.3 Hikvision
7.3.1 Hikvision Profile
7.3.2 Hikvision Main Business
7.3.3 Hikvision Computer Face Recognition Products, Services and Solutions
7.3.4 Hikvision Computer Face Recognition Revenue (US$ Million) & (2019-2024)
7.3.5 Yitu Technology Recent Developments
7.4 Yitu Technology
7.4.1 Yitu Technology Profile
7.4.2 Yitu Technology Main Business
7.4.3 Yitu Technology Computer Face Recognition Products, Services and Solutions
7.4.4 Yitu Technology Computer Face Recognition Revenue (US$ Million) & (2019-2024)
7.4.5 Yitu Technology Recent Developments
7.5 Cloudwalk Technology
7.5.1 Cloudwalk Technology Profile
7.5.2 Cloudwalk Technology Main Business
7.5.3 Cloudwalk Technology Computer Face Recognition Products, Services and Solutions
7.5.4 Cloudwalk Technology Computer Face Recognition Revenue (US$ Million) & (2019-2024)
7.5.5 Cloudwalk Technology Recent Developments
7.6 IBM
7.6.1 IBM Profile
7.6.2 IBM Main Business
7.6.3 IBM Computer Face Recognition Products, Services and Solutions
7.6.4 IBM Computer Face Recognition Revenue (US$ Million) & (2019-2024)
7.6.5 IBM Recent Developments
7.7 Amazon
7.7.1 Amazon Profile
7.7.2 Amazon Main Business
7.7.3 Amazon Computer Face Recognition Products, Services and Solutions
7.7.4 Amazon Computer Face Recognition Revenue (US$ Million) & (2019-2024)
7.7.5 Amazon Recent Developments
7.8 Microsoft
7.8.1 Microsoft Profile
7.8.2 Microsoft Main Business
7.8.3 Microsoft Computer Face Recognition Products, Services and Solutions
7.8.4 Microsoft Computer Face Recognition Revenue (US$ Million) & (2019-2024)
7.8.5 Microsoft Recent Developments
7.9 Camvi Technologies
7.9.1 Camvi Technologies Profile
7.9.2 Camvi Technologies Main Business
7.9.3 Camvi Technologies Computer Face Recognition Products, Services and Solutions
7.9.4 Camvi Technologies Computer Face Recognition Revenue (US$ Million) & (2019-2024)
7.9.5 Camvi Technologies Recent Developments
7.10 EverAI
7.10.1 EverAI Profile
7.10.2 EverAI Main Business
7.10.3 EverAI Computer Face Recognition Products, Services and Solutions
7.10.4 EverAI Computer Face Recognition Revenue (US$ Million) & (2019-2024)
7.10.5 EverAI Recent Developments
8 Industry Chain Analysis
8.1 Computer Face Recognition Industrial Chain
8.2 Computer Face Recognition Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Computer Face Recognition Sales Model
8.5.2 Sales Channel
8.5.3 Computer Face Recognition Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
Sense Time
Beijing Megvii Technology Co., Ltd.
Hikvision
Yitu Technology
Cloudwalk Technology
IBM
Amazon
Microsoft
Camvi Technologies
EverAI
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*If Applicable.
