Face Recognition Market Research Report by Type (Artificial Neural Networks, Classical Face Recognition Algorithms, D-based Face Recognition, Face Descriptor-based Methods, and Video-based Recognition), by Computing (Cloud Computing and Edge Computing), b

Face Recognition Market Research Report by Type (Artificial Neural Networks, Classical Face Recognition Algorithms, D‐based Face Recognition, Face Descriptor‐based Methods, and Video‐based Recognition), by Computing (Cloud Computing and Edge Computing), by Vertical, by Application - Global Forecast to 2025 - Cumulative Impact of COVID-19

The Global Face Recognition Market is expected to grow from USD 4,178.26 Million/EUR 3,663.57 Million in 2020 to USD 10,120.89 Million/EUR 8,874.19 by the end of 2025 at a Compound Annual Growth Rate (CAGR) of 19.35%.

Market Segmentation & Coverage:

This research report categorizes the Face Recognition to forecast the revenues and analyze the trends in each of the following sub-markets: The Video‐based Recognition is projected to witness the highest growth during the forecast period

Based on Type, the Face Recognition Market studied across Artificial Neural Networks, Classical Face Recognition Algorithms, D‐based Face Recognition, Face Descriptor‐based Methods, and Video‐based Recognition. The Face Descriptor‐based Methods commanded the largest size in the Face Recognition Market in 2020. On the other hand, the Video‐based Recognition is expected to grow at the fastest CAGR during the forecast period. The Edge Computing is projected to witness the highest growth during the forecast period

Based on Computing, the Face Recognition Market studied across Cloud Computing and Edge Computing. The Cloud Computing commanded the largest size in the Face Recognition Market in 2020. On the other hand, the Edge Computing is expected to grow at the fastest CAGR during the forecast period. The Healthcare is projected to witness the highest growth during the forecast period

Based on Vertical, the Face Recognition Market studied across Automotive & Transportation, BFSI, Education, Energy & Utilities, Government & Defense, Healthcare, Manufacturing, Consumer Goods & Retail, and Telecommunications & IT. The Government & Defense commanded the largest size in the Face Recognition Market in 2020. On the other hand, the Healthcare is expected to grow at the fastest CAGR during the forecast period. The Emotion Recognition is projected to witness the highest growth during the forecast period

Based on Application, the Face Recognition Market studied across Access Control, Attendance Tracking & Monitoring, Emotion Recognition, Law Enforcement, Robotics, eLearning, Advertising, and Payment. The Law Enforcement commanded the largest size in the Face Recognition Market in 2020. On the other hand, the Emotion Recognition is expected to grow at the fastest CAGR during the forecast period. The Asia-Pacific is projected to witness the highest growth during the forecast period

Based on Geography, the Face Recognition Market studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas region surveyed across Argentina, Brazil, Canada, Mexico, and United States. The Asia-Pacific region surveyed across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, South Korea, and Thailand. The Europe, Middle East & Africa region surveyed across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom. The Americas commanded the largest size in the Face Recognition Market in 2020. On the other hand, the Asia-Pacific is expected to grow at the fastest CAGR during the forecast period.

Company Usability Profiles:

The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Face Recognition Market including Animetrics, AnyVision, Aware, Inc., Ayonix Corporation, Clarifai, Cognitec Systems GmbH, Daon, DeepGlint, FaceFirst, Inc., Gemalto NV, id3 Technologies, IDEMIA, Innovatrics, Megvii, NEC Corporation, Neurotechnology, NVISO SA, SenseTime, StereoVision Imaging, Inc., Techno Brain Group, Visage Technologies, XJERA LABS, XRVision Pte. Ltd., Yitu Technology, and ZOLOZ CO., LTD..

FPNV Positioning Matrix:

The FPNV Positioning Matrix evaluates and categorizes the vendors in the Face Recognition Market on the basis of Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Competitive Strategic Window:

The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth.

Cumulative Impact of COVID-19:

COVID-19 is an incomparable global public health emergency that has affected almost every industry, so for and, the long-term effects projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlaying COVID-19 issues and potential paths forward. The report is delivering insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecast, considering the COVID-19 impact on the market.

The report provides insights on the following pointers:

1. Market Penetration: Provides comprehensive information on the market offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments

The report answers questions such as:

1. What is the market size and forecast of the Global Face Recognition Market?
2. What are the inhibiting factors and impact of COVID-19 shaping the Global Face Recognition Market during the forecast period?
3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Face Recognition Market?
4. What is the competitive strategic window for opportunities in the Global Face Recognition Market?
5. What are the technology trends and regulatory frameworks in the Global Face Recognition Market?
6. What are the modes and strategic moves considered suitable for entering the Global Face Recognition Market?


1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Stakeholders
2. Research Methodology
2.1. Research Process
2.1.1. Define: Research Objective
2.1.2. Determine: Research Design
2.1.3. Prepare: Research Instrument
2.1.4. Collect: Data Source
2.1.5. Analyze: Data Interpretation
2.1.6. Formulate: Data Verification
2.1.7. Publish: Research Report
2.1.8. Repeat: Report Update
2.2. Research Execution
2.2.1. Initiation: Research Process
2.2.2. Planning: Develop Research Plan
2.2.3. Execution: Conduct Research
2.2.4. Verification: Finding & Analysis
2.2.5. Publication: Research Report
2.3. Research Outcome
3. Executive Summary
3.1. Introduction
3.2. Market Outlook
3.3. Vertical Outlook
3.4. Type Outlook
3.5. Computing Outlook
3.6. Application Outlook
3.7. Geography Outlook
3.8. Competitor Outlook
4. Market Overview
4.1. Introduction
4.2. Cumulative Impact of COVID-19
4.3. Geographic Growth Opportunities
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Need for incorporating better security systems due to increasing cyber-attacks, terror attacks, and identity theft
5.1.1.2. Increasing demand for surveillance systems to enhance safety and security
5.1.1.3. Adoption of AI integrated biometric face recognition technology
5.1.2. Restraints
5.1.2.1. Lack of accuracy and high cost of implementation
5.1.2.2. Complicated storage and maintenance of updated data
5.1.3. Opportunities
5.1.3.1. Increasing growth potential with government initiatives
5.1.3.2. Increasing adoption of facial recognition in consumer electronics
5.1.4. Challenges
5.1.4.1. Concerns associated with individual data privacy and loosely defined regulatory framework
5.2. Porters Five Forces Analysis
5.2.1. Threat of New Entrants
5.2.2. Threat of Substitutes
5.2.3. Bargaining Power of Customers
5.2.4. Bargaining Power of Suppliers
5.2.5. Industry Rivalry
6. Global Face Recognition Market, By Type
6.1. Introduction
6.2. Artificial Neural Networks
6.3. Classical Face Recognition Algorithms
6.4. D‐based Face Recognition
6.5. Face Descriptor‐based Methods
6.6. Video‐based Recognition
7. Global Face Recognition Market, By Computing
7.1. Introduction
7.2. Cloud Computing
7.3. Edge Computing
8. Global Face Recognition Market, By Vertical
8.1. Introduction
8.2. Automotive & Transportation
8.3. BFSI
8.4. Education
8.5. Energy & Utilities
8.6. Government & Defense
8.7. Healthcare
8.8. Manufacturing
8.9. Consumer Goods & Retail
8.10. Telecommunications & IT
9. Global Face Recognition Market, By Application
9.1. Introduction
9.2. Access Control
9.3. Attendance Tracking & Monitoring
9.4. Emotion Recognition
9.5. Law Enforcement
9.6. Robotics
9.7. eLearning
9.8. Advertising
9.9. Payment
10. Americas Face Recognition Market
10.1. Introduction
10.2. Argentina
10.3. Brazil
10.4. Canada
10.5. Mexico
10.6. United States
11. Asia-Pacific Face Recognition Market
11.1. Introduction
11.2. Australia
11.3. China
11.4. India
11.5. Indonesia
11.6. Japan
11.7. Malaysia
11.8. Philippines
11.9. South Korea
11.10. Thailand
12. Europe, Middle East & Africa Face Recognition Market
12.1. Introduction
12.2. France
12.3. Germany
12.4. Italy
12.5. Netherlands
12.6. Qatar
12.7. Russia
12.8. Saudi Arabia
12.9. South Africa
12.10. Spain
12.11. United Arab Emirates
12.12. United Kingdom
13. Competitive Landscape
13.1. FPNV Positioning Matrix
13.1.1. Quadrants
13.1.2. Business Strategy
13.1.3. Product Satisfaction
13.2. Market Ranking Analysis
13.3. Market Share Analysis
13.4. Competitive Scenario
13.4.1. Merger & Acquisition
13.4.2. Agreement, Collaboration, & Partnership
13.4.3. New Product Launch & Enhancement
13.4.4. Investment & Funding
13.4.5. Award, Recognition, & Expansion
14. Company Usability Profiles
14.1. Animetrics
14.2. AnyVision
14.3. Aware, Inc.
14.4. Ayonix Corporation
14.5. Clarifai
14.6. Cognitec Systems GmbH
14.7. Daon
14.8. DeepGlint
14.9. FaceFirst, Inc.
14.10. Gemalto NV
14.11. id3 Technologies
14.12. IDEMIA
14.13. Innovatrics
14.14. Megvii
14.15. NEC Corporation
14.16. Neurotechnology
14.17. NVISO SA
14.18. SenseTime
14.19. StereoVision Imaging, Inc.
14.20. Techno Brain Group
14.21. Visage Technologies
14.22. XJERA LABS
14.23. XRVision Pte. Ltd.
14.24. Yitu Technology
14.25. ZOLOZ CO., LTD.
15. Appendix
15.1. Discussion Guide

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