AI-enabled Biometric Market

AI-enabled Biometric Market (AI-enabled Biometric Modalities: Face Recognition, Fingerprint Recognition, Iris Recognition, Voice Recognition, and Others) - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2023-2031


AI-enabled Biometric Market – Scope of Report

TMR’s report on the global AI-enabled biometric market studies the past as well as the current growth trends and opportunities to gain valuable insights of the indicators of the market during the forecast period from 2023 to 2031. The report provides revenue of the global AI-enabled biometric market for the period 2017–2031, considering 2023 as the base year and 2031 as the forecast year. The report also provides the compound annual growth rate (CAGR %) of the global AI-enabled biometric market from 2023 to 2031.

The report has been prepared after an extensive research. Primary research involved bulk of the research efforts, wherein analysts carried out interviews with key opinion leaders, industry leaders, and opinion makers. Secondary research involved referring to key players’ product literature, annual reports, press releases, and relevant documents to understand the AI-enabled biometric market.

Secondary research also included Internet sources, statistical data from government agencies, websites, and trade associations. Analysts employed a combination of top-down and bottom-up approaches to study various attributes of the global AI-enabled biometric market.

The report includes an elaborate executive summary, along with a snapshot of the growth behavior of various segments included in the scope of the study. Moreover, the report throws light on the changing competitive dynamics in the global AI-enabled biometric market. These serve as valuable tools for existing market players as well as for entities interested in participating in the global AI-enabled biometric market.

The report delves into the competitive landscape of the global AI-enabled biometric market. Key players operating in the global AI-enabled biometric market have been identified and each one of these has been profiled in terms of various attributes. Company overview, financial standings, recent developments, and SWOT are the attributes of players in the global AI-enabled biometric market profiled in this report.

Key Questions Answered in Global AI-enabled Biometric Market Report
  • What is the sales/revenue generated by AI-enabled biometric across all regions during the forecast period?
  • What are the opportunities in the global AI-enabled biometric market?
  • What are the major drivers, restraints, opportunities, and threats in the market?
  • Which regional market is set to expand at the fastest CAGR during the forecast period?
  • Which segment is expected to generate the highest revenue globally in 2031?
  • Which segment is projected to expand at the highest CAGR during the forecast period?
  • What are the market positions of different companies operating in the global market?
AI-enabled Biometric Market – Research Objectives and Research Approach

The comprehensive report on the global AI-enabled biometric market begins with an overview, followed by the scope and objectives of the study. The report provides detailed explanation of the objectives behind this study and key vendors and distributors operating in the market and regulatory scenario for approval of products.

For reading comprehensibility, the report has been compiled in a chapter-wise layout, with each section divided into smaller ones. The report comprises an exhaustive collection of graphs and tables that are appropriately interspersed. Pictorial representation of actual and projected values of key segments is visually appealing to readers. This also allows comparison of the market shares of key segments in the past and at the end of the forecast period.

The report analyzes the global AI-enabled biometric market in terms of product, end-user, and region. Key segments under each criterion have been studied at length, and the market share for each of these at the end of 2031 has been provided. Such valuable insights enable market stakeholders in making informed business decisions for investment in the global AI-enabled biometric market.


1. Preface
1.1. Market Introduction
1.2. Market Segmentation
1.3. Key Research Objectives
2. Assumptions and Research Methodology
2.1. Research Methodology
2.1.1. List of Primary and Secondary Sources
2.2. Key Assumptions for Data Modelling
3. Executive Summary: Global AI-enabled Biometric Market
4. Market Overview
4.1. Market Definition
4.2. Technology/ Product Roadmap
4.3. Market Factor Analysis
4.3.1. Forecast Factors
4.3.2. Ecosystem/ Value Chain Analysis
4.3.3. Market Dynamics (Growth Influencers)
4.3.3.1. Drivers
4.3.3.2. Restraints
4.3.3.3. Opportunities
4.3.3.4. Impact Analysis of Drivers and Restraints
4.4. COVID-19 Impact Analysis
4.4.1. Impact of COVID-19 on AI-enabled Biometric Market
4.5. Market Opportunity Assessment - by Region (North America/ Europe/ Asia Pacific/ Middle East & Africa/ South America)
4.5.1. By AI-enabled Biometric Modalities
4.5.2. By AI-driven Applications in Biometric Systems
4.5.3. By End-use Industry
4.6. Porter’s Five Forces Analysis
4.7. PEST Analysis
4.8. AI Evolution In Biometric Market
4.8.1. Adoption of AI in Biometric Systems
4.8.2. Deep Learning and Biometrics
4.8.3. Multimodal Biometrics and AI Integration
4.8.4. Continuous Authentication and Real-time Verification
4.8.5. Adaptive and Self-learning Biometric Systems
4.8.6. AI-driven Enhancements in Biometric Applications
4.9. Privacy and Ethical Considerations in AI-enabled Biometric
4.9.1. Data Privacy and Security
4.9.2. Ethical Use of Biometric Data
5. Global AI-enabled Biometric Market Analysis and Forecast
5.1. Market Revenue Analysis (US$ Mn), 2018-2031
5.1.1. Historic Growth Trends, 2018-2022
5.1.2. Forecast Trends, 2023-2031
6. Global AI-enabled Biometric Market Analysis, by AI-enabled Biometric Modalities
6.1. Overview and Definitions
6.2. Key Segment Analysis
6.3. AI-enabled Biometric Market Size (US$ Mn) Forecast, by AI-enabled Biometric Modalities, 2018 - 2031
6.3.1. Face Recognition
6.3.2. Fingerprint Recognition
6.3.3. Iris Recognition
6.3.4. Voice Recognition
6.3.5. Others
6.4. AI-enabled Biometric Market Volume (Million Units) Forecast, by AI-enabled Biometric Modalities, 2018 - 2031
6.4.1. Face Recognition
6.4.2. Fingerprint Recognition
6.4.3. Iris Recognition
6.4.4. Voice Recognition
6.4.5. Others
7. Global AI-enabled Biometric Market Analysis, by AI-driven Applications in Biometric Systems
7.1. Overview and Definitions
7.2. Key Segment Analysis
7.3. AI-enabled Biometric Market Size (US$ Mn) Forecast, by AI-driven Applications in Biometric Systems, 2018 - 2031
7.3.1. Mobile Biometrics and Smart Devices
7.3.2. Biometric Access Control Systems
7.3.3. Identity Verification and Authentication
7.3.4. Surveillance and Security Applications
7.3.5. Others
8. Global AI-enabled Biometric Market Analysis, by End-use Industry
8.1. Key Segment Analysis
8.2. AI-enabled Biometric Market Size (US$ Mn) Forecast, by End-use Industry, 2018 - 2031
8.2.1. Healthcare
8.2.2. BFSI
8.2.3. Transportation and logistics
8.2.4. Government and Law Enforcement
8.2.5. Others
9. Global AI-enabled Biometric Market Analysis and Forecasts, by Region
9.1. Key Findings
9.2. Market Size (US$ Mn) Forecast by Region, 2018-2031
9.2.1. North America
9.2.2. Europe
9.2.3. Asia Pacific
9.2.4. Middle East & Africa
9.2.5. South America
10. North America AI-enabled Biometric Market Analysis and Forecast
10.1. Regional Outlook
10.2. AI-enabled Biometric Market Size (US$ Mn) Analysis and Forecast, 2018 - 2031
10.2.1. By AI-enabled Biometric Modalities
10.2.2. By AI-driven Applications in Biometric Systems
10.2.3. By End-use Industry
10.3. AI-enabled Biometric Market Size (US$ Mn) Forecast, by Country, 2018 - 2031
10.3.1. U.S.
10.3.2. Canada
10.3.3. Mexico
11. Europe AI-enabled Biometric Market Analysis and Forecast
11.1. Regional Outlook
11.2. AI-enabled Biometric Market Size (US$ Mn) Analysis and Forecast, 2018 - 2031
11.2.1. By AI-enabled Biometric Modalities
11.2.2. By AI-driven Applications in Biometric Systems
11.2.3. By End-use Industry
11.3. AI-enabled Biometric Market Size (US$ Mn) Forecast, by Country/Sub-region, 2018 - 2031
11.3.1. Germany
11.3.2. UK
11.3.3. France
11.3.4. Italy
11.3.5. Spain
11.3.6. Rest of Europe
12. Asia Pacific AI-enabled Biometric Market Analysis and Forecast
12.1. Regional Outlook
12.2. AI-enabled Biometric Market Size (US$ Mn) Analysis and Forecast, 2018 - 2031
12.2.1. By AI-enabled Biometric Modalities
12.2.2. By AI-driven Applications in Biometric Systems
12.2.3. By End-use Industry
12.3. AI-enabled Biometric Market Size (US$ Mn) Forecast, by Country/Sub-region, 2018 - 2031
12.3.1. China
12.3.2. India
12.3.3. Japan
12.3.4. ASEAN
12.3.5. Rest of Asia Pacific
13. Middle East & Africa AI-enabled Biometric Market Analysis and Forecast
13.1. Regional Outlook
13.2. AI-enabled Biometric Market Size (US$ Mn) Analysis and Forecast, 2018 - 2031
13.2.1. By AI-enabled Biometric Modalities
13.2.2. By AI-driven Applications in Biometric Systems
13.2.3. By End-use Industry
13.3. AI-enabled Biometric Market Size (US$ Mn) Forecast, by Country/Sub-region, 2018 - 2031
13.3.1. Saudi Arabia
13.3.2. United Arab Emirates
13.3.3. South Africa
13.3.4. Rest of Middle East & Africa
14. South America AI-enabled Biometric Market Analysis and Forecast
14.1. Regional Outlook
14.2. AI-enabled Biometric Market Size (US$ Mn) Analysis and Forecast, 2018 - 2031
14.2.1. By AI-enabled Biometric Modalities
14.2.2. By AI-driven Applications in Biometric Systems
14.2.3. By End-use Industry
14.3. AI-enabled Biometric Market Size (US$ Mn) Forecast, by Country/Sub-region, 2018 - 2031
14.3.1. Brazil
14.3.2. Argentina
14.3.3. Rest of South America
15. Competition Landscape
15.1. Market Competition Matrix, by Leading Players
15.2. Competitive Landscape by Tier Structure of Companies
15.3. Scale of Competition, 2022
15.4. Scale of Competition at Regional Level, 2022
15.5. Market Revenue Share Analysis/Ranking , by Leading Players (2022)
15.6. List of Startups
15.7. Competition Evolution
15.8. Major Mergers & Acquisitions, Expansions, Partnership, Contacts, Deals, etc.
16. Company Profiles
16.1. Assa Abloy
16.1.1. Business Overview
16.1.2. Company Revenue
16.1.3. Product Portfolio
16.1.4. Geographic Footprint
16.1.5. Recent Developments
16.1.6. Impact of COVID-19
16.1.7. TMR View
16.1.8. Competitive Threats and Weakness
16.2. Aware Inc.
16.2.1. Business Overview
16.2.2. Company Revenue
16.2.3. Product Portfolio
16.2.4. Geographic Footprint
16.2.5. Recent Developments
16.2.6. Impact of COVID-19
16.2.7. TMR View
16.2.8. Competitive Threats and Weakness
16.3. Ayonix pty ltd
16.3.1. Business Overview
16.3.2. Company Revenue
16.3.3. Product Portfolio
16.3.4. Geographic Footprint
16.3.5. Recent Developments
16.3.6. Impact of COVID-19
16.3.7. TMR View
16.3.8. Competitive Threats and Weakness
16.4. Facephi Biometría, S.A.
16.4.1. Business Overview
16.4.2. Company Revenue
16.4.3. Product Portfolio
16.4.4. Geographic Footprint
16.4.5. Recent Developments
16.4.6. Impact of COVID-19
16.4.7. TMR View
16.4.8. Competitive Threats and Weakness
16.5. IDEMIA
16.5.1. Business Overview
16.5.2. Company Revenue
16.5.3. Product Portfolio
16.5.4. Geographic Footprint
16.5.5. Recent Developments
16.5.6. Impact of COVID-19
16.5.7. TMR View
16.5.8. Competitive Threats and Weakness
16.6. Leidos Holdings, Inc.
16.6.1. Business Overview
16.6.2. Company Revenue
16.6.3. Product Portfolio
16.6.4. Geographic Footprint
16.6.5. Recent Developments
16.6.6. Impact of COVID-19
16.6.7. TMR View
16.6.8. Competitive Threats and Weakness
16.7. M2SYS Technology
16.7.1. Business Overview
16.7.2. Company Revenue
16.7.3. Product Portfolio
16.7.4. Geographic Footprint
16.7.5. Recent Developments
16.7.6. Impact of COVID-19
16.7.7. TMR View
16.7.8. Competitive Threats and Weakness
16.8. NEC Corporation
16.8.1. Business Overview
16.8.2. Company Revenue
16.8.3. Product Portfolio
16.8.4. Geographic Footprint
16.8.5. Recent Developments
16.8.6. Impact of COVID-19
16.8.7. TMR View
16.8.8. Competitive Threats and Weakness
16.9. Nuance Communications
16.9.1. Business Overview
16.9.2. Company Revenue
16.9.3. Product Portfolio
16.9.4. Geographic Footprint
16.9.5. Recent Developments
16.9.6. Impact of COVID-19
16.9.7. TMR View
16.9.8. Competitive Threats and Weakness
16.10. Thales Group
16.10.1. Business Overview
16.10.2. Company Revenue
16.10.3. Product Portfolio
16.10.4. Geographic Footprint
16.10.5. Recent Developments
16.10.6. Impact of COVID-19
16.10.7. TMR View
16.10.8. Competitive Threats and Weakness
16.11. Veridium
16.11.1. Business Overview
16.11.2. Company Revenue
16.11.3. Product Portfolio
16.11.4. Geographic Footprint
16.11.5. Recent Developments
16.11.6. Impact of COVID-19
16.11.7. TMR View
16.11.8. Competitive Threats and Weakness
16.12. Fujitsu Limited
16.12.1. Business Overview
16.12.2. Company Revenue
16.12.3. Product Portfolio
16.12.4. Geographic Footprint
16.12.5. Recent Developments
16.12.6. Impact of COVID-19
16.12.7. TMR View
16.12.8. Competitive Threats and Weakness
16.13. Others
16.13.1. Business Overview
16.13.2. Company Revenue
16.13.3. Product Portfolio
16.13.4. Geographic Footprint
16.13.5. Recent Developments
16.13.6. Impact of COVID-19
16.13.7. TMR View
16.13.8. Competitive Threats and Weakness
17. Key Takeaways

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