Global Face Recognition Engine Market 2024 by Company, Regions, Type and Application, Forecast to 2030
1 Market Overview
- 1.1 Product Overview and Scope of Face Recognition Engine
- 1.2 Market Estimation Caveats and Base Year
- 1.3 Classification of Face Recognition Engine by False Detection Rate
- 1.3.1 Overview: Global Face Recognition Engine Market Size by False Detection Rate: 2019 Versus 2023 Versus 2030
- 1.3.2 Global Face Recognition Engine Consumption Value Market Share by False Detection Rate in 2023
- 1.3.3 Less Than One Thousandth
- 1.3.4 Less Than One Ten Thousandth
- 1.3.5 Other
- 1.4 Global Face Recognition Engine Market by Application
- 1.4.1 Overview: Global Face Recognition Engine Market Size by Application: 2019 Versus 2023 Versus 2030
- 1.4.2 Communication
- 1.4.3 Security Monitoring
- 1.4.4 Smart Bank
- 1.4.5 Smart Retail
- 1.4.6 Other
- 1.5 Global Face Recognition Engine Market Size & Forecast
- 1.6 Global Face Recognition Engine Market Size and Forecast by Region
- 1.6.1 Global Face Recognition Engine Market Size by Region: 2019 VS 2023 VS 2030
- 1.6.2 Global Face Recognition Engine Market Size by Region, (2019-2030)
- 1.6.3 North America Face Recognition Engine Market Size and Prospect (2019-2030)
- 1.6.4 Europe Face Recognition Engine Market Size and Prospect (2019-2030)
- 1.6.5 Asia-Pacific Face Recognition Engine Market Size and Prospect (2019-2030)
- 1.6.6 South America Face Recognition Engine Market Size and Prospect (2019-2030)
- 1.6.7 Middle East and Africa Face Recognition Engine Market Size and Prospect (2019-2030)
2 Company Profiles
- 2.1 OKI
- 2.1.1 OKI Details
- 2.1.2 OKI Major Business
- 2.1.3 OKI Face Recognition Engine Product and Solutions
- 2.1.4 OKI Face Recognition Engine Revenue, Gross Margin and Market Share (2019-2024)
- 2.1.5 OKI Recent Developments and Future Plans
- 2.2 Toshiba
- 2.2.1 Toshiba Details
- 2.2.2 Toshiba Major Business
- 2.2.3 Toshiba Face Recognition Engine Product and Solutions
- 2.2.4 Toshiba Face Recognition Engine Revenue, Gross Margin and Market Share (2019-2024)
- 2.2.5 Toshiba Recent Developments and Future Plans
- 2.3 Trakomatic
- 2.3.1 Trakomatic Details
- 2.3.2 Trakomatic Major Business
- 2.3.3 Trakomatic Face Recognition Engine Product and Solutions
- 2.3.4 Trakomatic Face Recognition Engine Revenue, Gross Margin and Market Share (2019-2024)
- 2.3.5 Trakomatic Recent Developments and Future Plans
- 2.4 Veritone
- 2.4.1 Veritone Details
- 2.4.2 Veritone Major Business
- 2.4.3 Veritone Face Recognition Engine Product and Solutions
- 2.4.4 Veritone Face Recognition Engine Revenue, Gross Margin and Market Share (2019-2024)
- 2.4.5 Veritone Recent Developments and Future Plans
- 2.5 NEC Corporation
- 2.5.1 NEC Corporation Details
- 2.5.2 NEC Corporation Major Business
- 2.5.3 NEC Corporation Face Recognition Engine Product and Solutions
- 2.5.4 NEC Corporation Face Recognition Engine Revenue, Gross Margin and Market Share (2019-2024)
- 2.5.5 NEC Corporation Recent Developments and Future Plans
- 2.6 NtechLab
- 2.6.1 NtechLab Details
- 2.6.2 NtechLab Major Business
- 2.6.3 NtechLab Face Recognition Engine Product and Solutions
- 2.6.4 NtechLab Face Recognition Engine Revenue, Gross Margin and Market Share (2019-2024)
- 2.6.5 NtechLab Recent Developments and Future Plans
- 2.7 Cyberlink
- 2.7.1 Cyberlink Details
- 2.7.2 Cyberlink Major Business
- 2.7.3 Cyberlink Face Recognition Engine Product and Solutions
- 2.7.4 Cyberlink Face Recognition Engine Revenue, Gross Margin and Market Share (2019-2024)
- 2.7.5 Cyberlink Recent Developments and Future Plans
- 2.8 Intercorp
- 2.8.1 Intercorp Details
- 2.8.2 Intercorp Major Business
- 2.8.3 Intercorp Face Recognition Engine Product and Solutions
- 2.8.4 Intercorp Face Recognition Engine Revenue, Gross Margin and Market Share (2019-2024)
- 2.8.5 Intercorp Recent Developments and Future Plans
- 2.9 Cognitec
- 2.9.1 Cognitec Details
- 2.9.2 Cognitec Major Business
- 2.9.3 Cognitec Face Recognition Engine Product and Solutions
- 2.9.4 Cognitec Face Recognition Engine Revenue, Gross Margin and Market Share (2019-2024)
- 2.9.5 Cognitec Recent Developments and Future Plans
- 2.10 Vision Labs
- 2.10.1 Vision Labs Details
- 2.10.2 Vision Labs Major Business
- 2.10.3 Vision Labs Face Recognition Engine Product and Solutions
- 2.10.4 Vision Labs Face Recognition Engine Revenue, Gross Margin and Market Share (2019-2024)
- 2.10.5 Vision Labs Recent Developments and Future Plans
- 2.11 Tencent Cloud
- 2.11.1 Tencent Cloud Details
- 2.11.2 Tencent Cloud Major Business
- 2.11.3 Tencent Cloud Face Recognition Engine Product and Solutions
- 2.11.4 Tencent Cloud Face Recognition Engine Revenue, Gross Margin and Market Share (2019-2024)
- 2.11.5 Tencent Cloud Recent Developments and Future Plans
- 2.12 Alibaba Cloud
- 2.12.1 Alibaba Cloud Details
- 2.12.2 Alibaba Cloud Major Business
- 2.12.3 Alibaba Cloud Face Recognition Engine Product and Solutions
- 2.12.4 Alibaba Cloud Face Recognition Engine Revenue, Gross Margin and Market Share (2019-2024)
- 2.12.5 Alibaba Cloud Recent Developments and Future Plans
- 2.13 Baidu
- 2.13.1 Baidu Details
- 2.13.2 Baidu Major Business
- 2.13.3 Baidu Face Recognition Engine Product and Solutions
- 2.13.4 Baidu Face Recognition Engine Revenue, Gross Margin and Market Share (2019-2024)
- 2.13.5 Baidu Recent Developments and Future Plans
- 2.14 Synthesis Electronic Technology
- 2.14.1 Synthesis Electronic Technology Details
- 2.14.2 Synthesis Electronic Technology Major Business
- 2.14.3 Synthesis Electronic Technology Face Recognition Engine Product and Solutions
- 2.14.4 Synthesis Electronic Technology Face Recognition Engine Revenue, Gross Margin and Market Share (2019-2024)
- 2.14.5 Synthesis Electronic Technology Recent Developments and Future Plans
- 2.15 Hikvision
- 2.15.1 Hikvision Details
- 2.15.2 Hikvision Major Business
- 2.15.3 Hikvision Face Recognition Engine Product and Solutions
- 2.15.4 Hikvision Face Recognition Engine Revenue, Gross Margin and Market Share (2019-2024)
- 2.15.5 Hikvision Recent Developments and Future Plans
- 2.16 Boyun Vision
- 2.16.1 Boyun Vision Details
- 2.16.2 Boyun Vision Major Business
- 2.16.3 Boyun Vision Face Recognition Engine Product and Solutions
- 2.16.4 Boyun Vision Face Recognition Engine Revenue, Gross Margin and Market Share (2019-2024)
- 2.16.5 Boyun Vision Recent Developments and Future Plans
- 2.17 Deepglint
- 2.17.1 Deepglint Details
- 2.17.2 Deepglint Major Business
- 2.17.3 Deepglint Face Recognition Engine Product and Solutions
- 2.17.4 Deepglint Face Recognition Engine Revenue, Gross Margin and Market Share (2019-2024)
- 2.17.5 Deepglint Recent Developments and Future Plans
- 2.18 Hangzhou Jieshi Technology
- 2.18.1 Hangzhou Jieshi Technology Details
- 2.18.2 Hangzhou Jieshi Technology Major Business
- 2.18.3 Hangzhou Jieshi Technology Face Recognition Engine Product and Solutions
- 2.18.4 Hangzhou Jieshi Technology Face Recognition Engine Revenue, Gross Margin and Market Share (2019-2024)
- 2.18.5 Hangzhou Jieshi Technology Recent Developments and Future Plans
- 2.19 Ryunjune Tech
- 2.19.1 Ryunjune Tech Details
- 2.19.2 Ryunjune Tech Major Business
- 2.19.3 Ryunjune Tech Face Recognition Engine Product and Solutions
- 2.19.4 Ryunjune Tech Face Recognition Engine Revenue, Gross Margin and Market Share (2019-2024)
- 2.19.5 Ryunjune Tech Recent Developments and Future Plans
3 Market Competition, by Players
- 3.1 Global Face Recognition Engine Revenue and Share by Players (2019-2024)
- 3.2 Market Share Analysis (2023)
- 3.2.1 Market Share of Face Recognition Engine by Company Revenue
- 3.2.2 Top 3 Face Recognition Engine Players Market Share in 2023
- 3.2.3 Top 6 Face Recognition Engine Players Market Share in 2023
- 3.3 Face Recognition Engine Market: Overall Company Footprint Analysis
- 3.3.1 Face Recognition Engine Market: Region Footprint
- 3.3.2 Face Recognition Engine Market: Company Product Type Footprint
- 3.3.3 Face Recognition Engine Market: Company Product Application Footprint
- 3.4 New Market Entrants and Barriers to Market Entry
- 3.5 Mergers, Acquisition, Agreements, and Collaborations
4 Market Size Segment by False Detection Rate
- 4.1 Global Face Recognition Engine Consumption Value and Market Share by False Detection Rate (2019-2024)
- 4.2 Global Face Recognition Engine Market Forecast by False Detection Rate (2025-2030)
5 Market Size Segment by Application
- 5.1 Global Face Recognition Engine Consumption Value Market Share by Application (2019-2024)
- 5.2 Global Face Recognition Engine Market Forecast by Application (2025-2030)
6 North America
- 6.1 North America Face Recognition Engine Consumption Value by False Detection Rate (2019-2030)
- 6.2 North America Face Recognition Engine Consumption Value by Application (2019-2030)
- 6.3 North America Face Recognition Engine Market Size by Country
- 6.3.1 North America Face Recognition Engine Consumption Value by Country (2019-2030)
- 6.3.2 United States Face Recognition Engine Market Size and Forecast (2019-2030)
- 6.3.3 Canada Face Recognition Engine Market Size and Forecast (2019-2030)
- 6.3.4 Mexico Face Recognition Engine Market Size and Forecast (2019-2030)
7 Europe
- 7.1 Europe Face Recognition Engine Consumption Value by False Detection Rate (2019-2030)
- 7.2 Europe Face Recognition Engine Consumption Value by Application (2019-2030)
- 7.3 Europe Face Recognition Engine Market Size by Country
- 7.3.1 Europe Face Recognition Engine Consumption Value by Country (2019-2030)
- 7.3.2 Germany Face Recognition Engine Market Size and Forecast (2019-2030)
- 7.3.3 France Face Recognition Engine Market Size and Forecast (2019-2030)
- 7.3.4 United Kingdom Face Recognition Engine Market Size and Forecast (2019-2030)
- 7.3.5 Russia Face Recognition Engine Market Size and Forecast (2019-2030)
- 7.3.6 Italy Face Recognition Engine Market Size and Forecast (2019-2030)
8 Asia-Pacific
- 8.1 Asia-Pacific Face Recognition Engine Consumption Value by False Detection Rate (2019-2030)
- 8.2 Asia-Pacific Face Recognition Engine Consumption Value by Application (2019-2030)
- 8.3 Asia-Pacific Face Recognition Engine Market Size by Region
- 8.3.1 Asia-Pacific Face Recognition Engine Consumption Value by Region (2019-2030)
- 8.3.2 China Face Recognition Engine Market Size and Forecast (2019-2030)
- 8.3.3 Japan Face Recognition Engine Market Size and Forecast (2019-2030)
- 8.3.4 South Korea Face Recognition Engine Market Size and Forecast (2019-2030)
- 8.3.5 India Face Recognition Engine Market Size and Forecast (2019-2030)
- 8.3.6 Southeast Asia Face Recognition Engine Market Size and Forecast (2019-2030)
- 8.3.7 Australia Face Recognition Engine Market Size and Forecast (2019-2030)
9 South America
- 9.1 South America Face Recognition Engine Consumption Value by False Detection Rate (2019-2030)
- 9.2 South America Face Recognition Engine Consumption Value by Application (2019-2030)
- 9.3 South America Face Recognition Engine Market Size by Country
- 9.3.1 South America Face Recognition Engine Consumption Value by Country (2019-2030)
- 9.3.2 Brazil Face Recognition Engine Market Size and Forecast (2019-2030)
- 9.3.3 Argentina Face Recognition Engine Market Size and Forecast (2019-2030)
10 Middle East & Africa
- 10.1 Middle East & Africa Face Recognition Engine Consumption Value by False Detection Rate (2019-2030)
- 10.2 Middle East & Africa Face Recognition Engine Consumption Value by Application (2019-2030)
- 10.3 Middle East & Africa Face Recognition Engine Market Size by Country
- 10.3.1 Middle East & Africa Face Recognition Engine Consumption Value by Country (2019-2030)
- 10.3.2 Turkey Face Recognition Engine Market Size and Forecast (2019-2030)
- 10.3.3 Saudi Arabia Face Recognition Engine Market Size and Forecast (2019-2030)
- 10.3.4 UAE Face Recognition Engine Market Size and Forecast (2019-2030)
11 Market Dynamics
- 11.1 Face Recognition Engine Market Drivers
- 11.2 Face Recognition Engine Market Restraints
- 11.3 Face Recognition Engine Trends Analysis
- 11.4 Porters Five Forces Analysis
- 11.4.1 Threat of New Entrants
- 11.4.2 Bargaining Power of Suppliers
- 11.4.3 Bargaining Power of Buyers
- 11.4.4 Threat of Substitutes
- 11.4.5 Competitive Rivalry
12 Industry Chain Analysis
- 12.1 Face Recognition Engine Industry Chain
- 12.2 Face Recognition Engine Upstream Analysis
- 12.3 Face Recognition Engine Midstream Analysis
- 12.4 Face Recognition Engine Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
- 14.1 Methodology
- 14.2 Research Process and Data Source
According to our (Global Info Research) latest study, the global Face Recognition Engine market size was valued at USD million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of % during review period.
Face Recognition Engine/Face Sensing Engine is a middleware for embedded use that integrates the function of sensing human faces through animated images into a software package. FSE has the highest level of processing performance in the industry and can achieve high-precision image processing, compact program structure, and support for multiple platforms. By utilizing the cameras installed in various terminals such as mobile phones, we can limit the operation of the terminal and video communication purposes such as image e-mail and video phone calls to provide strong support for the realization of a variety of solutions.
The Global Info Research report includes an overview of the development of the Face Recognition Engine industry chain, the market status of Communication (Less Than One Thousandth, Less Than One Ten Thousandth), Security Monitoring (Less Than One Thousandth, Less Than One Ten Thousandth), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Face Recognition Engine.
Regionally, the report analyzes the Face Recognition Engine markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global Face Recognition Engine market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the Face Recognition Engine market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the Face Recognition Engine industry.
The report involves analyzing the market at a macro level:
Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by False Detection Rate (e.g., Less Than One Thousandth, Less Than One Ten Thousandth).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the Face Recognition Engine market.
Regional Analysis: The report involves examining the Face Recognition Engine market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the Face Recognition Engine market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to Face Recognition Engine:
Company Analysis: Report covers individual Face Recognition Engine players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards Face Recognition Engine This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Communication, Security Monitoring).
Technology Analysis: Report covers specific technologies relevant to Face Recognition Engine. It assesses the current state, advancements, and potential future developments in Face Recognition Engine areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the Face Recognition Engine market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
Market Segmentation
Face Recognition Engine market is split by False Detection Rate and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by False Detection Rate, and by Application in terms of value.
Market segment by False Detection Rate
Less Than One Thousandth
Less Than One Ten Thousandth
Other
Market segment by Application
Communication
Security Monitoring
Smart Bank
Smart Retail
Other
Market segment by players, this report covers
OKI
Toshiba
Trakomatic
Veritone
NEC Corporation
NtechLab
Cyberlink
Intercorp
Cognitec
Vision Labs
Tencent Cloud
Alibaba Cloud
Baidu
Synthesis Electronic Technology
Hikvision
Boyun Vision
Deepglint
Hangzhou Jieshi Technology
Ryunjune Tech
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, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and 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 Face Recognition Engine product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Face Recognition Engine, with revenue, gross margin and global market share of Face Recognition Engine from 2019 to 2024.
Chapter 3, the Face Recognition Engine 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 False Detection Rate and application, with consumption value and growth rate by False Detection Rate, application, from 2019 to 2030.
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 2019 to 2024.and Face Recognition Engine market forecast, by regions, false detection rate and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Face Recognition Engine.
Chapter 13, to describe Face Recognition Engine research findings and conclusion.