The global face recognition software market is expected to grow at a CAGR of 16.5% during the forecast period, from 2021 to 2030. The market is driven by factors such as increasing adoption of facial recognition technology in various sectors and growing demand for biometric authentication systems.
The global face recognition software market is segmented on the basis of type, application, and region. On the basis of type, it can be classified into holistic matching method, featurbased method, skin texture analysis and hybrid types. On the basis of application, it can be classified into corporate & residential security, public transport system (including metro), entertainment software (including gaming), public security & justice (including law enforcement), selservice equipment (including kiosks), attendance & conference management system (ACMS) and financial services. On the basis of region it can be classified into North America, Latin America Europe Asia Pacific Middle East & Africa.
Some Of The Growth Factors Of This Market:
- The use of face recognition software is increasing in the retail industry.
- Face recognition software is being used to identify people who are wanted by law enforcement agencies.
- Face recognition software can be used to identify people in crowds and at events, such as concerts and sporting events, where there are large numbers of people present and it would be difficult for law enforcement officers to identify everyone individually.
- Face recognition software can be used by law enforcement agencies to find missing persons or fugitives from justice who have been identified through a photo lineup or mugshot database search but not found yet because they have changed their appearance since the photo was taken or because they were not in the database when it was searched initially.
- The use of face recognition technology has been shown to reduce crime rates by up to 20%.
Industry Growth Insights published a new data on “Face Recognition Software Market”. The research report is titled “Face Recognition Software Market research by Types (Holistic Matching Method, feature-based Method, Skin Texture Analysis, Hybrid Types, Other), By Applications (Corporate & Residential Security, Public Transport, Entertainment Software, Public Security & Justice, Self-service Equipment, Attendance & Conference, Financial Services, Other), By Players/Companies Aware (US), BioID (DE), Idemia (FR), Leidos (US), Visage Technologies (SE), Cloudwalk (CN), M2SYS (US), Gemalto (NZ), StereoVision Imaging (US), Cognitec Systems (GE), HID Global (US), NEC (JP), NVISO (BE), Daon (US), MEGVII (CN), Ayonix Face Technologies (IN), Innovatrics (SK), HYPR (US), Fujitsu (JP), Kairos (US), Animetrics (US), id3 Technologies (FR), Smilepass (GB), Techno Brain (SA), Neurotechnology (LT), Fulcrum Biometrics (US), FaceFirst (US), Certibio (BR)”.
Scope Of The Report
Report Attributes
Report Details
Report Title
Face Recognition Software Market Research Report
By Type
Holistic Matching Method, feature-based Method, Skin Texture Analysis, Hybrid Types, Other
By Application
Corporate & Residential Security, Public Transport, Entertainment Software, Public Security & Justice, Self-service Equipment, Attendance & Conference, Financial Services, Other
By Companies
Aware (US), BioID (DE), Idemia (FR), Leidos (US), Visage Technologies (SE), Cloudwalk (CN), M2SYS (US), Gemalto (NZ), StereoVision Imaging (US), Cognitec Systems (GE), HID Global (US), NEC (JP), NVISO (BE), Daon (US), MEGVII (CN), Ayonix Face Technologies (IN), Innovatrics (SK), HYPR (US), Fujitsu (JP), Kairos (US), Animetrics (US), id3 Technologies (FR), Smilepass (GB), Techno Brain (SA), Neurotechnology (LT), Fulcrum Biometrics (US), FaceFirst (US), Certibio (BR)
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
240
Number of Tables & Figures
168
Customization Available
Yes, the report can be customized as per your need.
Global Face Recognition Software Market Report Segments:
The global Face Recognition Software market is segmented on the basis of:
Types
Holistic Matching Method, feature-based Method, Skin Texture Analysis, Hybrid Types, Other
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Corporate & Residential Security, Public Transport, Entertainment Software, Public Security & Justice, Self-service Equipment, Attendance & Conference, Financial Services, Other
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Aware (US)
- BioID (DE)
- Idemia (FR)
- Leidos (US)
- Visage Technologies (SE)
- Cloudwalk (CN)
- M2SYS (US)
- Gemalto (NZ)
- StereoVision Imaging (US)
- Cognitec Systems (GE)
- HID Global (US)
- NEC (JP)
- NVISO (BE)
- Daon (US)
- MEGVII (CN)
- Ayonix Face Technologies (IN)
- Innovatrics (SK)
- HYPR (US)
- Fujitsu (JP)
- Kairos (US)
- Animetrics (US)
- id3 Technologies (FR)
- Smilepass (GB)
- Techno Brain (SA)
- Neurotechnology (LT)
- Fulcrum Biometrics (US)
- FaceFirst (US)
- Certibio (BR)
Highlights of The Face Recognition Software Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Holistic Matching Method
- feature-based Method
- Skin Texture Analysis
- Hybrid Types
- Other
- By Application:
- Corporate & Residential Security
- Public Transport
- Entertainment Software
- Public Security & Justice
- Self-service Equipment
- Attendance & Conference
- Financial Services
- Other
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Face Recognition Software Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Face recognition software is a computer program that can identify individuals in photographs or videos.
Some of the key players operating in the face recognition software market are Aware (US), BioID (DE), Idemia (FR), Leidos (US), Visage Technologies (SE), Cloudwalk (CN), M2SYS (US), Gemalto (NZ), StereoVision Imaging (US), Cognitec Systems (GE), HID Global (US), NEC (JP), NVISO (BE), Daon (US), MEGVII (CN), Ayonix Face Technologies (IN), Innovatrics (SK), HYPR (US), Fujitsu (JP), Kairos (US), Animetrics (US), id3 Technologies (FR), Smilepass (GB), Techno Brain (SA), Neurotechnology (LT), Fulcrum Biometrics (US), FaceFirst (US), Certibio (BR).
The face recognition software market is expected to grow at a compound annual growth rate of 16.5%.
1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. Face Recognition Software Market Overview
4.1. Introduction
4.1.1. Market Taxonomy
4.1.2. Market Definition
4.2. Macro-Economic Factors
4.2.1. Industry Outlook
4.3. Face Recognition Software Market Dynamics
4.3.1. Market Drivers
4.3.2. Market Restraints
4.3.3. Opportunity
4.3.4. Market Trends
4.4. Face Recognition Software Market - Supply Chain
4.5. Global Face Recognition Software Market Forecast
4.5.1. Face Recognition Software Market Size (US$ Mn) and Y-o-Y Growth
4.5.2. Face Recognition Software Market Size (000 Units) and Y-o-Y Growth
4.5.3. Face Recognition Software Market Absolute $ Opportunity
5. Global Face Recognition Software Market Analysis and Forecast by Type
5.1. Market Trends
5.2. Introduction
5.2.1. Basis Point Share (BPS) Analysis by Type
5.2.2. Y-o-Y Growth Projections by Type
5.3. Face Recognition Software Market Size and Volume Forecast by Type
5.3.1. Holistic Matching Method
5.3.2. feature-based Method
5.3.3. Skin Texture Analysis
5.3.4. Hybrid Types
5.3.5. Other
5.4. Absolute $ Opportunity Assessment by Type
5.5. Market Attractiveness/Growth Potential Analysis by Type
6. Global Face Recognition Software Market Analysis and Forecast by Application
6.1. Market Trends
6.2. Introduction
6.2.1. Basis Point Share (BPS) Analysis by Application
6.2.2. Y-o-Y Growth Projections by Application
6.3. Face Recognition Software Market Size and Volume Forecast by Application
6.3.1. Corporate & Residential Security
6.3.2. Public Transport
6.3.3. Entertainment Software
6.3.4. Public Security & Justice
6.3.5. Self-service Equipment
6.3.6. Attendance & Conference
6.3.7. Financial Services
6.3.8. Other
6.4. Absolute $ Opportunity Assessment by Application
6.5. Market Attractiveness/Growth Potential Analysis by Application
7. Global Face Recognition Software Market Analysis and Forecast by Sales Channel
7.1. Market Trends
7.2. Introduction
7.2.1. Basis Point Share (BPS) Analysis by Sales Channel
7.2.2. Y-o-Y Growth Projections by Sales Channel
7.3. Face Recognition Software Market Size and Volume Forecast by Sales Channel
7.3.1. Manufacturer/Distributor/Service Provider
7.3.2. Aftermarket
7.4. Absolute $ Opportunity Assessment by Sales Channel
7.5. Market Attractiveness/Growth Potential Analysis by Sales Channel
8. Global Face Recognition Software Market Analysis and Forecast by Region
8.1. Market Trends
8.2. Introduction
8.2.1. Basis Point Share (BPS) Analysis by Region
8.2.2. Y-o-Y Growth Projections by Region
8.3. Face Recognition Software Market Size and Volume Forecast by Region
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. Asia Pacific
8.3.5. Middle East and Africa (MEA)
8.4. Absolute $ Opportunity Assessment by Region
8.5. Market Attractiveness/Growth Potential Analysis by Region
8.6. Global Face Recognition Software Demand Share Forecast, 2019-2026
9. North America Face Recognition Software Market Analysis and Forecast
9.1. Introduction
9.1.1. Basis Point Share (BPS) Analysis by Country
9.1.2. Y-o-Y Growth Projections by Country
9.2. North America Face Recognition Software Market Size and Volume Forecast by Country
9.2.1. U.S.
9.2.2. Canada
9.3. Absolute $ Opportunity Assessment by Country
9.4. North America Face Recognition Software Market Size and Volume Forecast by Application
9.4.1. Corporate & Residential Security
9.4.2. Public Transport
9.4.3. Entertainment Software
9.4.4. Public Security & Justice
9.4.5. Self-service Equipment
9.4.6. Attendance & Conference
9.4.7. Financial Services
9.4.8. Other
9.5. Basis Point Share (BPS) Analysis by Application
9.6. Y-o-Y Growth Projections by Application
9.7. North America Face Recognition Software Market Size and Volume Forecast by Type
9.7.1. Holistic Matching Method
9.7.2. feature-based Method
9.7.3. Skin Texture Analysis
9.7.4. Hybrid Types
9.7.5. Other
9.8. Basis Point Share (BPS) Analysis by Type
9.9. Y-o-Y Growth Projections by Type
9.10. Market Attractiveness/Growth Potential Analysis
9.10.1. By Country
9.10.2. By Product Type
9.10.3. By Application
9.10.4. By Sales Channel
9.11. North America Face Recognition Software Demand Share Forecast, 2019-2026
10. Latin America Face Recognition Software Market Analysis and Forecast
10.1. Introduction
10.1.1. Basis Point Share (BPS) Analysis by Country
10.1.2. Y-o-Y Growth Projections by Country
10.1.3. Latin America Average Pricing Analysis
10.2. Latin America Face Recognition Software Market Size and Volume Forecast by Country
10.2.1. Brazil
10.2.2. Mexico
10.2.3. Rest of Latin America
10.3. Absolute $ Opportunity Assessment by Country
10.4. Latin America Face Recognition Software Market Size and Volume Forecast by Application
10.4.1. Corporate & Residential Security
10.4.2. Public Transport
10.4.3. Entertainment Software
10.4.4. Public Security & Justice
10.4.5. Self-service Equipment
10.4.6. Attendance & Conference
10.4.7. Financial Services
10.4.8. Other
10.5. Basis Point Share (BPS) Analysis by Application
10.6. Y-o-Y Growth Projections by Application
10.7. Latin America Face Recognition Software Market Size and Volume Forecast by Type
10.7.1. Holistic Matching Method
10.7.2. feature-based Method
10.7.3. Skin Texture Analysis
10.7.4. Hybrid Types
10.7.5. Other
10.8. Basis Point Share (BPS) Analysis by Type
10.9. Y-o-Y Growth Projections by Type
10.10. Market Attractiveness/Growth Potential Analysis
10.10.1. By Country
10.10.2. By Product Type
10.10.3. By Application
10.10.4. By Sales Channel
10.11. Latin America Face Recognition Software Demand Share Forecast, 2019-2026
11. Europe Face Recognition Software Market Analysis and Forecast
11.1. Introduction
11.1.1. Basis Point Share (BPS) Analysis by Country
11.1.2. Y-o-Y Growth Projections by Country
11.1.3. Europe Average Pricing Analysis
11.2. Europe Face Recognition Software Market Size and Volume Forecast by Country
11.2.1. Germany
11.2.2. France
11.2.3. Italy
11.2.4. U.K.
11.2.5. Spain
11.2.6. Russia
11.2.7. Rest of Europe
11.3. Absolute $ Opportunity Assessment by Country
11.4. Europe Face Recognition Software Market Size and Volume Forecast by Application
11.4.1. Corporate & Residential Security
11.4.2. Public Transport
11.4.3. Entertainment Software
11.4.4. Public Security & Justice
11.4.5. Self-service Equipment
11.4.6. Attendance & Conference
11.4.7. Financial Services
11.4.8. Other
11.5. Basis Point Share (BPS) Analysis by Application
11.6. Y-o-Y Growth Projections by Application
11.7. Europe Face Recognition Software Market Size and Volume Forecast by Type
11.7.1. Holistic Matching Method
11.7.2. feature-based Method
11.7.3. Skin Texture Analysis
11.7.4. Hybrid Types
11.7.5. Other
11.8. Basis Point Share (BPS) Analysis by Type
11.9. Y-o-Y Growth Projections by Type
11.10. Market Attractiveness/Growth Potential Analysis
11.10.1. By Country
11.10.2. By Product Type
11.10.3. By Application
11.10.4. By Sales Channel
11.11. Europe Face Recognition Software Demand Share, 2019-2026
12. Asia Pacific Face Recognition Software Market Analysis and Forecast
12.1. Introduction
12.1.1. Basis Point Share (BPS) Analysis by Country
12.1.2. Y-o-Y Growth Projections by Country
12.1.3. Asia Pacific Average Pricing Analysis
12.2. Asia Pacific Face Recognition Software Market Size and Volume Forecast by Country
12.2.1. China
12.2.2. Japan
12.2.3. South Korea
12.2.4. India
12.2.5. Australia
12.2.6. Rest of Asia Pacific (APAC)
12.3. Absolute $ Opportunity Assessment by Country
12.4. Asia Pacific Face Recognition Software Market Size and Volume Forecast by Application
12.4.1. Corporate & Residential Security
12.4.2. Public Transport
12.4.3. Entertainment Software
12.4.4. Public Security & Justice
12.4.5. Self-service Equipment
12.4.6. Attendance & Conference
12.4.7. Financial Services
12.4.8. Other
12.5. Basis Point Share (BPS) Analysis by Application
12.6. Y-o-Y Growth Projections by Application
12.7. Asia Pacific Face Recognition Software Market Size and Volume Forecast by Type
12.7.1. Holistic Matching Method
12.7.2. feature-based Method
12.7.3. Skin Texture Analysis
12.7.4. Hybrid Types
12.7.5. Other
12.8. Basis Point Share (BPS) Analysis by Type
12.9. Y-o-Y Growth Projections by Type
12.10. Market Attractiveness/Growth Potential Analysis
12.10.1. By Country
12.10.2. By Product Type
12.10.3. By Application
12.10.4. By Sales Channel
12.11. Asia Pacific Face Recognition Software Demand Share, 2019-2026
13. Middle East & Africa Face Recognition Software Market Analysis and Forecast
13.1. Introduction
13.1.1. Basis Point Share (BPS) Analysis by Country
13.1.2. Y-o-Y Growth Projections by Country
13.1.3. Asia Pacific Average Pricing Analysis
13.2. Middle East & Africa Face Recognition Software Market Size and Volume Forecast by Country
13.2.1. Saudi Arabia
13.2.2. South Africa
13.2.3. UAE
13.2.4. Rest of Middle East & Africa (MEA)
13.3. Absolute $ Opportunity Assessment by Country
13.4. Middle East & Africa Face Recognition Software Market Size and Volume Forecast by Application
13.4.1. Corporate & Residential Security
13.4.2. Public Transport
13.4.3. Entertainment Software
13.4.4. Public Security & Justice
13.4.5. Self-service Equipment
13.4.6. Attendance & Conference
13.4.7. Financial Services
13.4.8. Other
13.5. Basis Point Share (BPS) Analysis by Application
13.6. Y-o-Y Growth Projections by Application
13.7. Middle East & Africa Face Recognition Software Market Size and Volume Forecast by Type
13.7.1. Holistic Matching Method
13.7.2. feature-based Method
13.7.3. Skin Texture Analysis
13.7.4. Hybrid Types
13.7.5. Other
13.8. Basis Point Share (BPS) Analysis by Type
13.9. Y-o-Y Growth Projections by Type
13.10. Market Attractiveness/Growth Potential Analysis
13.10.1. By Country
13.10.2. By Product Type
13.10.3. By Application
13.10.4. By Sales Channel
13.11. Middle East & Africa Face Recognition Software Demand Share, 2019-2026
14. Competition Landscape
14.1. Global Face Recognition Software Market: Market Share Analysis
14.2. Face Recognition Software Distributors and Customers
14.3. Face Recognition Software Market: Competitive Dashboard
14.4. Company Profiles (Details Overview, Financials, Developments, Strategy)
14.4.1. Aware (US)
14.4.1.1. Overview
14.4.1.2. Financials
14.4.1.3. Developments
14.4.1.4. Strategic Outlook
14.4.2. BioID (DE)
14.4.2.1. Overview
14.4.2.2. Financials
14.4.2.3. Developments
14.4.2.4. Strategic Outlook
14.4.3. Idemia (FR)
14.4.3.1. Overview
14.4.3.2. Financials
14.4.3.3. Developments
14.4.3.4. Strategic Outlook
14.4.4. Leidos (US)
14.4.4.1. Overview
14.4.4.2. Financials
14.4.4.3. Developments
14.4.4.4. Strategic Outlook
14.4.5. Visage Technologies (SE)
14.4.5.1. Overview
14.4.5.2. Financials
14.4.5.3. Developments
14.4.5.4. Strategic Outlook
14.4.6. Cloudwalk (CN)
14.4.6.1. Overview
14.4.6.2. Financials
14.4.6.3. Developments
14.4.6.4. Strategic Outlook
14.4.7. M2SYS (US)
14.4.7.1. Overview
14.4.7.2. Financials
14.4.7.3. Developments
14.4.7.4. Strategic Outlook
14.4.8. Gemalto (NZ)
14.4.8.1. Overview
14.4.8.2. Financials
14.4.8.3. Developments
14.4.8.4. Strategic Outlook
14.4.9. StereoVision Imaging (US)
14.4.9.1. Overview
14.4.9.2. Financials
14.4.9.3. Developments
14.4.9.4. Strategic Outlook
14.4.10. Cognitec Systems (GE)
14.4.10.1. Overview
14.4.10.2. Financials
14.4.10.3. Developments
14.4.10.4. Strategic Outlook
14.4.11. HID Global (US)
14.4.11.1. Overview
14.4.11.2. Financials
14.4.11.3. Developments
14.4.11.4. Strategic Outlook
14.4.12. NEC (JP)
14.4.12.1. Overview
14.4.12.2. Financials
14.4.12.3. Developments
14.4.12.4. Strategic Outlook
14.4.13. NVISO (BE)
14.4.13.1. Overview
14.4.13.2. Financials
14.4.13.3. Developments
14.4.13.4. Strategic Outlook
14.4.14. Daon (US)
14.4.14.1. Overview
14.4.14.2. Financials
14.4.14.3. Developments
14.4.14.4. Strategic Outlook
14.4.15. MEGVII (CN)
14.4.15.1. Overview
14.4.15.2. Financials
14.4.15.3. Developments
14.4.15.4. Strategic Outlook
14.4.16. Ayonix Face Technologies (IN)
14.4.16.1. Overview
14.4.16.2. Financials
14.4.16.3. Developments
14.4.16.4. Strategic Outlook
14.4.17. Innovatrics (SK)
14.4.17.1. Overview
14.4.17.2. Financials
14.4.17.3. Developments
14.4.17.4. Strategic Outlook
14.4.18. HYPR (US)
14.4.18.1. Overview
14.4.18.2. Financials
14.4.18.3. Developments
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