AI-Enabled Biometric Market Size, Trends and Insights By Technology (Face Recognition, Fingerprint Recognition, Iris Recognition, Voice Recognition, Others), By Application (Mobile Biometrics and Smart Devices, Biometric Access Control Systems, Identity Verification and Authentication, Surveillance and Security, Others), By End User (Defence, Home Security, Government, BFSI, Healthcare, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033
Report Snapshot
| Study Period: | 2024-2033 |
| Fastest Growing Market: | Asia-Pacific |
| Largest Market: | Europe |
Major Players
- NEC Corporation
- Gemalto
- IDEMIA
- Aware Inc.
- FaceFirst Inc.
- Cognitec Systems GmbH
- Others
Reports Description
Global AI-Enabled Biometric Market was valued at USD 13.3 Billion in 2024 and is expected to reach USD 53.8 Billion by 2033, at a CAGR of 15.4% during the forecast period 2024 – 2033.
The term artificial intelligence-enabled biometrics describes the combination of biometric technologies with AI approaches. Biometrics is the process of identifying or authenticating someone using their distinct physiological or behavioural traits, such as voice, gait, facial characteristics, fingerprints, or patterns of iris.
AI-Enabled Biometric Market: Growth Factors
Proliferation of AI-enabled biometrics for security threat prevention
The demand for powered by AI biometrics is driven by the widespread use of these technologies for security threat prevention, which are revolutionising security protocols. The accuracy of biometric systems is improved by AI’s capabilities, making reliable verification and verification processes possible, which are essential for preventing security breaches.
Moreover, real-time monitoring made possible by AI-powered analytics enables prompt threat identification and action. This biometrics and AI integration serves a variety of industries, including healthcare, government, and finance, where strict security regulations are essential.
The breadth of biometric applications is also increased by AI-driven developments in voice authentication, face recognition, and behavioural biometrics, which propel market expansion as businesses look for cutting-edge ways to counteract changing security risks in an increasingly digital environment.
For instance, according to Tessian and Stanford University researchers, in Psychology of Human Error 2022, staff errors account for over 88% of security breaches. Thus, it is clear that the newest biometric technologies such as fingerprint detectors, recognition of iris, 3-dimensional facial recognition cameras, and specialist hardware detectors in mobile phones must take precedence over conventional verification techniques.
Integration of machine learning capabilities with AI algorithms
By dramatically increasing the accuracy, flexibility, and dependability of biometric identification systems, the combination of artificial intelligence (AI) algorithms and machine learning powers is transforming the market for biometrics powered by AI. To identify complex patterns and distinctive identities, AI systems examine and analyse enormous quantities of biometric data, including fingerprints, face characteristics, and speech patterns.
In addition, by continuously learning from fresh data intakes and responses from users, machine learning algorithms optimise and continuously improve recognition, reducing mistakes and enhancing accuracy. Because of this mutually beneficial connection, biometric systems are better equipped to respond quickly to new and complex threats and assaults, enhancing security across a range of applications, including identifying fraudulent transactions, authentication of identity, and access control.
Biometric solutions reach previously unheard-of levels of performance, scalability, and efficiency thanks to the combination of AI and machine learning capabilities catalysing widespread adoption across diverse industries, including finance, healthcare, government, and transportation.
For instance, to construct biometric systems, machine learning techniques help with proof of identity, detection, and task classification. The most useful use of AI and ML is in facial recognition. By evaluating face traits and comparing them with a database, artificial intelligence (AI), which is widely used with virtual reality solutions, may greatly simplify facial identification by computers.
AI-Enabled Biometric Market: Restraints
Concerns about data privacy
Data privacy concerns provide serious obstacles for the industry for AI-enabled biometrics. Biometric systems raise concerns about possible abuse or unauthorised access since they gather and analyse sensitive personal data including fingerprints, face photos, and iris scans.
Privacy concerns are made worse by problems with permission, openness, and control over biometric data for both people and government agencies. Furthermore, prominent data breaches and abuse cases highlight the necessity of strong security protocols and strict privacy laws to protect biometric data.
Organisations are therefore under increasing pressure to put strict data protection measures into place, follow compliance guidelines like the CCPA and GDPR, and win over customers’ trust by exhibiting accountability, transparency, and ethical handling of data practices. If these privacy issues are not adequately addressed, it may hinder the general adoption of AI-enabled biometric technologies and hinder market growth.
AI-Enabled Biometric Market: Opportunities
Surge in demand for cutting-edge verification solutions across industries
The market for AI-enabled biometrics is growing as a result of the increase in demand for sophisticated verification solutions across sectors. AI-powered biometric technologies provide strong options for organisations looking for more effective and safe ways to authenticate identities.
Biometric systems may be made more accurate, flexible, and capable of real-time authentication by utilising AI algorithms. This allows them to fulfil the changing security requirements of industries such as government, medical care, and finance.
By using AI, biometric systems may also offer advanced functionalities like anomaly detection and behaviour analysis, which improve security even further. The usage of AI-enabled biometric solutions is anticipated to continue rising as organisations prioritise sophisticated authentication techniques to secure sensitive data and prevent identity theft.
This is due to the growing emphasis on data security and verification of identity. For instance, three primary biometric security types biometric data in banking records an individual’s behavioural habits. An illustration of behavioural biometrics is the structure of writing. Morphological biometrics refers to the unique physiological characteristics that are unique to each individual. For instance, a certain speech pattern or fingerprints.
AI-Enabled Biometric Market: Segmentation Analysis
Global AI-Enabled Biometric market is segmented by technology, application, end user and region. Based on technology, the market is classified into face recognition, fingerprint recognition, iris recognition, voice recognition and others. Face recognition dominated the market in 2023 with a market share of 38.2% and is expected to keep its dominance during the forecast period 2024-2033.
Face recognition technology’s precision, adaptability, and variety of uses are major factors propelling the market for AI-enabled biometrics. Face recognition systems have advanced to the point that they can now reliably identify people based only on their facial traits thanks to developments in artificial intelligence (AI).
Numerous industries, notably security, monitoring, access control, and verification, use this technology. AI-enabled biometric systems are becoming more and more popular among organizations and governments throughout the globe for verification of identity, avoidance of fraud, and enhanced safety precautions.
To further improve biometric systems, face recognition may be integrated with AI algorithms to provide real-time analysis, behavioural monitoring, and pattern detection. Therefore, the growing need for reliable security solutions combined with advances in AI and facial recognition technology drives the growth of the AI-enabled biometric market.
Based on application, the market is classified into mobile biometrics and smart devices, biometric access control systems, identity verification and authentication, surveillance and security, and others. Mobile biometrics and smart devices dominated the market in 2023 with a market share of 41.5% and are expected to keep their dominance during the forecast period 2024-2033.
Due to their extensive use and incorporation into daily life, mobile biometrics and smart devices are important market drivers for AI-enabled biometrics.
Easy identity validation and authentication have been made possible by the widespread use of mobile devices, tablets, and wearables with biometric features, including voice recognition, face recognition, recording devices, and fingerprint readers.
Furthermore, the precision, safety and speed of biometric identification systems are improved by advances in artificial intelligence (AI) algorithms, which make them more dependable in range of applications, such as access control, wireless banking, e-commerce, and healthcare.
AI-enabled biometric solutions on smart devices are becoming more and more popular with both enterprises and consumers due to their efficacy and simplicity, which is propelling market expansion as well as creativity in the biometrics sector.
Based on end user, the market is classified into defence, home security, government, BFSI, healthcare, and others. The government dominated the market in 2023 with a market share of 35.8% and is expected to keep its dominance during the forecast period 2024-2033. The market for AI-enabled biometrics is driven by governments through a variety of strategies, such as laws, investments, and campaigns that improve public services, increase security, and streamline procedures.
Regulations requiring biometric identification in industries such as financial services, medical care, and border control drive market expansion by standardizing procedures and promoting use. Moreover, government financing and assistance for R&D projects encourage advancement in AI-based biometric technology, resulting in improvements in precision, effectiveness, and usability.
In addition, the deployment of biometric technologies for verification of identity, enforcement, and national security is made easier by government-led initiatives and collaborations with businesses in the private sector.
Report Scope
| Feature of the Report | Details |
| Market Size in 2024 | USD 13.3 Billion |
| Projected Market Size in 2033 | USD 53.8 Billion |
| Market Size in 2023 | USD 12.8 Billion |
| CAGR Growth Rate | 15.4% CAGR |
| Base Year | 2023 |
| Forecast Period | 2024-2033 |
| Key Segment | By Technology, Application, End User and Region |
| Report Coverage | Revenue Estimation and Forecast, Company Profile, Competitive Landscape, Growth Factors and Recent Trends |
| Regional Scope | North America, Europe, Asia Pacific, Middle East & Africa, and South & Central America |
| Buying Options | Request tailored purchasing options to fulfil your requirements for research. |
AI-Enabled Biometric Market: Regional Analysis
By region, AI-Enabled Biometric market is segmented into North America, Europe, Asia-Pacific, Latin America, the Middle East & Africa. North America dominated the global AI-Enabled Biometric market in 2023 with a market share of 40.1% and is expected to keep its dominance during the forecast period 2024-2033.
North America propels the AI-enabled biometric industry owing to its developed technological devices landscape and solid spending on AI. The area prioritizes innovation and research, resulting in the creation of advanced biometric systems that may improve security and efficiency in several industries.
Furthermore, the demand for AI-driven biometric systems for identification is increased due to the strict regulatory framework and the rising worries about identity theft and personal privacy. In addition, the region is a rich ground for biometric utilization in industries like health care, banking, and government services due to its varied economy and broad usage of digital services.
Moreover, strategic alliances between corporations, governments, and tech companies support the spread of AI-powered biometric solutions, propelling industry expansion and positioning North America as a major participant.
AI-Enabled Biometric Market: Recent Developments
- In November 2023, Mastercard established a partnership with NEC to introduce a biometric payment process in the Asia Pacific region. It integrates Mastercard’s payment processing with NEC’s face recognition and authenticity verification technologies.
- In July 2022, Secunet announced employment at Zurich Airport to interface through the European Entry/Exit System (EES).
- In December 2022, Synaptics Incorporated completed its purchase of DSP Group. Powerful AI, speech processing, and wireless innovations from the two businesses are combined, enabling a range of smart biometrics in mobile platforms.
List of the prominent players in the AI-Enabled Biometric Market:
- NEC Corporation
- Gemalto
- IDEMIA
- Aware Inc.
- FaceFirst Inc.
- Cognitec Systems GmbH
- BIO-key International Inc.
- Fujitsu Limited
- Nuance Communications Inc.
- Leidos Holdings Inc.
- Precise Biometrics AB
- HID Global Corporation
- Morpho
- Thales Group
- Veridium Ltd.
- Crossmatch
- Fingerprint Cards AB
- IDEX Biometrics ASA
- M2SYS Technology
- Biocryptology
- Others
These key players are adopting various growth strategies such as mergers & acquisitions, joint ventures, expansion, strategic alliances, new product launches, etc. to enhance their business operations and revenues.
The AI-Enabled Biometric Market is segmented as follows:
By Technology
- Face Recognition
- Fingerprint Recognition
- Iris Recognition
- Voice Recognition
- Others
By Application
- Mobile Biometrics and Smart Devices
- Biometric Access Control Systems
- Identity Verification and Authentication
- Surveillance and Security
- Others
By End User
- Defence
- Home Security
- Government
- BFSI
- Healthcare
- Others
Regional Coverage:
North America
- U.S.
- Canada
- Mexico
- Rest of North America
Europe
- Germany
- France
- U.K.
- Russia
- Italy
- Spain
- Netherlands
- Rest of Europe
Asia Pacific
- China
- Japan
- India
- New Zealand
- Australia
- South Korea
- Taiwan
- Rest of Asia Pacific
The Middle East & Africa
- Saudi Arabia
- UAE
- Egypt
- Kuwait
- South Africa
- Rest of the Middle East & Africa
Latin America
- Brazil
- Argentina
- Rest of Latin America
Table of Contents
- Chapter 1. Preface
- 1.1 Report Description and Scope
- 1.2 Research scope
- 1.3 Research methodology
- 1.3.1 Market Research Type
- 1.3.2 Market Research Methodology
- Chapter 2. Executive Summary
- 2.1 Global AI-Enabled Biometric Market, (2024 – 2033) (USD Billion)
- 2.2 Global AI-Enabled Biometric Market: snapshot
- Chapter 3. Global AI-Enabled Biometric Market – Industry Analysis
- 3.1 AI-Enabled Biometric Market: Market Dynamics
- 3.2 Market Drivers
- 3.2.1 Proliferation of AI-enabled biometrics for security threat prevention
- 3.2.2 Integration of machine learning capabilities with AI algorithms
- 3.3 Market Restraints
- 3.4 Market Opportunities
- 3.5 Market Challenges
- 3.6 Porter’s Five Forces Analysis
- 3.7 Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Technology
- 3.7.2 Market Attractiveness Analysis By Application
- 3.7.3 Market Attractiveness Analysis By End User
- Chapter 4. Global AI-Enabled Biometric Market- Competitive Landscape
- 4.1 Company market share analysis
- 4.1.1 Global AI-Enabled Biometric Market: Company Market Share, 2023
- 4.2 Strategic development
- 4.2.1 Acquisitions & mergers
- 4.2.2 New Product launches
- 4.2.3 Agreements, partnerships, cullaborations, and joint ventures
- 4.2.4 Research and development and Regional expansion
- 4.3 Price trend analysis
- 4.1 Company market share analysis
- Chapter 5. Global AI-Enabled Biometric Market – Technology Analysis
- 5.1 Global AI-Enabled Biometric Market Overview: By Technology
- 5.1.1 Global AI-Enabled Biometric Market Share, By Technology, 2023 and 2033
- 5.2 Face Recognition
- 5.2.1 Global AI-Enabled Biometric Market by Face Recognition, 2024 – 2033 (USD Billion)
- 5.3 Fingerprint Recognition
- 5.3.1 Global AI-Enabled Biometric Market by Fingerprint Recognition, 2024 – 2033 (USD Billion)
- 5.4 Iris Recognition
- 5.4.1 Global AI-Enabled Biometric Market by Iris Recognition, 2024 – 2033 (USD Billion)
- 5.5 Voice Recognition
- 5.5.1 Global AI-Enabled Biometric Market by Voice Recognition, 2024 – 2033 (USD Billion)
- 5.6 Others
- 5.6.1 Global AI-Enabled Biometric Market by Others, 2024 – 2033 (USD Billion)
- 5.1 Global AI-Enabled Biometric Market Overview: By Technology
- Chapter 6. Global AI-Enabled Biometric Market – Application Analysis
- 6.1 Global AI-Enabled Biometric Market Overview: By Application
- 6.1.1 Global AI-Enabled Biometric Market Share, By Application, 2023 and 2033
- 6.2 Mobile Biometrics and Smart Devices
- 6.2.1 Global AI-Enabled Biometric Market by Mobile Biometrics and Smart Devices, 2024 – 2033 (USD Billion)
- 6.3 Biometric Access Control Systems
- 6.3.1 Global AI-Enabled Biometric Market by Biometric Access Control Systems, 2024 – 2033 (USD Billion)
- 6.4 Identity Verification and Authentication
- 6.4.1 Global AI-Enabled Biometric Market by Identity Verification and Authentication, 2024 – 2033 (USD Billion)
- 6.5 Surveillance and Security
- 6.5.1 Global AI-Enabled Biometric Market by Surveillance and Security, 2024 – 2033 (USD Billion)
- 6.6 Others
- 6.6.1 Global AI-Enabled Biometric Market by Others, 2024 – 2033 (USD Billion)
- 6.1 Global AI-Enabled Biometric Market Overview: By Application
- Chapter 7. Global AI-Enabled Biometric Market – End User Analysis
- 7.1 Global AI-Enabled Biometric Market Overview: By End User
- 7.1.1 Global AI-Enabled Biometric Market Share, By End User, 2023 and 2033
- 7.2 Defence
- 7.2.1 Global AI-Enabled Biometric Market by Defence, 2024 – 2033 (USD Billion)
- 7.3 Home Security
- 7.3.1 Global AI-Enabled Biometric Market by Home Security, 2024 – 2033 (USD Billion)
- 7.4 Government
- 7.4.1 Global AI-Enabled Biometric Market by Government, 2024 – 2033 (USD Billion)
- 7.5 BFSI
- 7.5.1 Global AI-Enabled Biometric Market by BFSI, 2024 – 2033 (USD Billion)
- 7.6 Healthcare
- 7.6.1 Global AI-Enabled Biometric Market by Healthcare, 2024 – 2033 (USD Billion)
- 7.7 Others
- 7.7.1 Global AI-Enabled Biometric Market by Others, 2024 – 2033 (USD Billion)
- 7.1 Global AI-Enabled Biometric Market Overview: By End User
- Chapter 8. AI-Enabled Biometric Market – Regional Analysis
- 8.1 Global AI-Enabled Biometric Market Regional Overview
- 8.2 Global AI-Enabled Biometric Market Share, by Region, 2023 & 2033 (USD Billion)
- 8.3. North America
- 8.3.1 North America AI-Enabled Biometric Market, 2024 – 2033 (USD Billion)
- 8.3.1.1 North America AI-Enabled Biometric Market, by Country, 2024 – 2033 (USD Billion)
- 8.3.1 North America AI-Enabled Biometric Market, 2024 – 2033 (USD Billion)
- 8.4 North America AI-Enabled Biometric Market, by Technology, 2024 – 2033
- 8.4.1 North America AI-Enabled Biometric Market, by Technology, 2024 – 2033 (USD Billion)
- 8.5 North America AI-Enabled Biometric Market, by Application, 2024 – 2033
- 8.5.1 North America AI-Enabled Biometric Market, by Application, 2024 – 2033 (USD Billion)
- 8.6 North America AI-Enabled Biometric Market, by End User, 2024 – 2033
- 8.6.1 North America AI-Enabled Biometric Market, by End User, 2024 – 2033 (USD Billion)
- 8.7. Europe
- 8.7.1 Europe AI-Enabled Biometric Market, 2024 – 2033 (USD Billion)
- 8.7.1.1 Europe AI-Enabled Biometric Market, by Country, 2024 – 2033 (USD Billion)
- 8.7.1 Europe AI-Enabled Biometric Market, 2024 – 2033 (USD Billion)
- 8.8 Europe AI-Enabled Biometric Market, by Technology, 2024 – 2033
- 8.8.1 Europe AI-Enabled Biometric Market, by Technology, 2024 – 2033 (USD Billion)
- 8.9 Europe AI-Enabled Biometric Market, by Application, 2024 – 2033
- 8.9.1 Europe AI-Enabled Biometric Market, by Application, 2024 – 2033 (USD Billion)
- 8.10 Europe AI-Enabled Biometric Market, by End User, 2024 – 2033
- 8.10.1 Europe AI-Enabled Biometric Market, by End User, 2024 – 2033 (USD Billion)
- 8.11. Asia Pacific
- 8.11.1 Asia Pacific AI-Enabled Biometric Market, 2024 – 2033 (USD Billion)
- 8.11.1.1 Asia Pacific AI-Enabled Biometric Market, by Country, 2024 – 2033 (USD Billion)
- 8.11.1 Asia Pacific AI-Enabled Biometric Market, 2024 – 2033 (USD Billion)
- 8.12 Asia Pacific AI-Enabled Biometric Market, by Technology, 2024 – 2033
- 8.12.1 Asia Pacific AI-Enabled Biometric Market, by Technology, 2024 – 2033 (USD Billion)
- 8.13 Asia Pacific AI-Enabled Biometric Market, by Application, 2024 – 2033
- 8.13.1 Asia Pacific AI-Enabled Biometric Market, by Application, 2024 – 2033 (USD Billion)
- 8.14 Asia Pacific AI-Enabled Biometric Market, by End User, 2024 – 2033
- 8.14.1 Asia Pacific AI-Enabled Biometric Market, by End User, 2024 – 2033 (USD Billion)
- 8.15. Latin America
- 8.15.1 Latin America AI-Enabled Biometric Market, 2024 – 2033 (USD Billion)
- 8.15.1.1 Latin America AI-Enabled Biometric Market, by Country, 2024 – 2033 (USD Billion)
- 8.15.1 Latin America AI-Enabled Biometric Market, 2024 – 2033 (USD Billion)
- 8.16 Latin America AI-Enabled Biometric Market, by Technology, 2024 – 2033
- 8.16.1 Latin America AI-Enabled Biometric Market, by Technology, 2024 – 2033 (USD Billion)
- 8.17 Latin America AI-Enabled Biometric Market, by Application, 2024 – 2033
- 8.17.1 Latin America AI-Enabled Biometric Market, by Application, 2024 – 2033 (USD Billion)
- 8.18 Latin America AI-Enabled Biometric Market, by End User, 2024 – 2033
- 8.18.1 Latin America AI-Enabled Biometric Market, by End User, 2024 – 2033 (USD Billion)
- 8.19. The Middle-East and Africa
- 8.19.1 The Middle-East and Africa AI-Enabled Biometric Market, 2024 – 2033 (USD Billion)
- 8.19.1.1 The Middle-East and Africa AI-Enabled Biometric Market, by Country, 2024 – 2033 (USD Billion)
- 8.19.1 The Middle-East and Africa AI-Enabled Biometric Market, 2024 – 2033 (USD Billion)
- 8.20 The Middle-East and Africa AI-Enabled Biometric Market, by Technology, 2024 – 2033
- 8.20.1 The Middle-East and Africa AI-Enabled Biometric Market, by Technology, 2024 – 2033 (USD Billion)
- 8.21 The Middle-East and Africa AI-Enabled Biometric Market, by Application, 2024 – 2033
- 8.21.1 The Middle-East and Africa AI-Enabled Biometric Market, by Application, 2024 – 2033 (USD Billion)
- 8.22 The Middle-East and Africa AI-Enabled Biometric Market, by End User, 2024 – 2033
- 8.22.1 The Middle-East and Africa AI-Enabled Biometric Market, by End User, 2024 – 2033 (USD Billion)
- Chapter 9. Company Profiles
- 9.1 NEC Corporation
- 9.1.1 Overview
- 9.1.2 Financials
- 9.1.3 Product Portfolio
- 9.1.4 Business Strategy
- 9.1.5 Recent Developments
- 9.2 Gemalto
- 9.2.1 Overview
- 9.2.2 Financials
- 9.2.3 Product Portfolio
- 9.2.4 Business Strategy
- 9.2.5 Recent Developments
- 9.3 IDEMIA
- 9.3.1 Overview
- 9.3.2 Financials
- 9.3.3 Product Portfolio
- 9.3.4 Business Strategy
- 9.3.5 Recent Developments
- 9.4 Aware Inc.
- 9.4.1 Overview
- 9.4.2 Financials
- 9.4.3 Product Portfolio
- 9.4.4 Business Strategy
- 9.4.5 Recent Developments
- 9.5 FaceFirst Inc.
- 9.5.1 Overview
- 9.5.2 Financials
- 9.5.3 Product Portfolio
- 9.5.4 Business Strategy
- 9.5.5 Recent Developments
- 9.6 Cognitec Systems GmbH
- 9.6.1 Overview
- 9.6.2 Financials
- 9.6.3 Product Portfolio
- 9.6.4 Business Strategy
- 9.6.5 Recent Developments
- 9.7 BIO-key International Inc.
- 9.7.1 Overview
- 9.7.2 Financials
- 9.7.3 Product Portfolio
- 9.7.4 Business Strategy
- 9.7.5 Recent Developments
- 9.8 Fujitsu Limited
- 9.8.1 Overview
- 9.8.2 Financials
- 9.8.3 Product Portfolio
- 9.8.4 Business Strategy
- 9.8.5 Recent Developments
- 9.9 Nuance Communications Inc.
- 9.9.1 Overview
- 9.9.2 Financials
- 9.9.3 Product Portfolio
- 9.9.4 Business Strategy
- 9.9.5 Recent Developments
- 9.10 Leidos Holdings Inc.
- 9.10.1 Overview
- 9.10.2 Financials
- 9.10.3 Product Portfolio
- 9.10.4 Business Strategy
- 9.10.5 Recent Developments
- 9.11 Precise Biometrics AB
- 9.11.1 Overview
- 9.11.2 Financials
- 9.11.3 Product Portfolio
- 9.11.4 Business Strategy
- 9.11.5 Recent Developments
- 9.12 HID Global Corporation
- 9.12.1 Overview
- 9.12.2 Financials
- 9.12.3 Product Portfolio
- 9.12.4 Business Strategy
- 9.12.5 Recent Developments
- 9.13 Morpho
- 9.13.1 Overview
- 9.13.2 Financials
- 9.13.3 Product Portfolio
- 9.13.4 Business Strategy
- 9.13.5 Recent Developments
- 9.14 Thales Group
- 9.14.1 Overview
- 9.14.2 Financials
- 9.14.3 Product Portfolio
- 9.14.4 Business Strategy
- 9.14.5 Recent Developments
- 9.15 Veridium Ltd.
- 9.15.1 Overview
- 9.15.2 Financials
- 9.15.3 Product Portfolio
- 9.15.4 Business Strategy
- 9.15.5 Recent Developments
- 9.16 Crossmatch
- 9.16.1 Overview
- 9.16.2 Financials
- 9.16.3 Product Portfolio
- 9.16.4 Business Strategy
- 9.16.5 Recent Developments
- 9.17 Fingerprint Cards AB
- 9.17.1 Overview
- 9.17.2 Financials
- 9.17.3 Product Portfolio
- 9.17.4 Business Strategy
- 9.17.5 Recent Developments
- 9.18 IDEX Biometrics ASA
- 9.18.1 Overview
- 9.18.2 Financials
- 9.18.3 Product Portfolio
- 9.18.4 Business Strategy
- 9.18.5 Recent Developments
- 9.19 M2SYS Technology
- 9.19.1 Overview
- 9.19.2 Financials
- 9.19.3 Product Portfolio
- 9.19.4 Business Strategy
- 9.19.5 Recent Developments
- 9.20 Biocryptology
- 9.20.1 Overview
- 9.20.2 Financials
- 9.20.3 Product Portfolio
- 9.20.4 Business Strategy
- 9.20.5 Recent Developments
- 9.21 Others.
- 9.21.1 Overview
- 9.21.2 Financials
- 9.21.3 Product Portfolio
- 9.21.4 Business Strategy
- 9.21.5 Recent Developments
- 9.1 NEC Corporation
List Of Figures
Figures No 1 to 32
List Of Tables
Tables No 1 to 77
Report Methodology
In order to get the most precise estimates and forecasts possible, Custom Market Insights applies a detailed and adaptive research methodology centered on reducing deviations. For segregating and assessing quantitative aspects of the market, the company uses a combination of top-down and bottom-up approaches. Furthermore, data triangulation, which examines the market from three different aspects, is a recurring theme in all of our research reports. The following are critical components of the methodology used in all of our studies:
Preliminary Data Mining
On a broad scale, raw market information is retrieved and compiled. Data is constantly screened to make sure that only substantiated and verified sources are taken into account. Furthermore, data is mined from a plethora of reports in our archive and also a number of reputed & reliable paid databases. To gain a detailed understanding of the business, it is necessary to know the entire product life cycle and to facilitate this, we gather data from different suppliers, distributors, and buyers.
Surveys, technological conferences, and trade magazines are used to identify technical issues and trends. Technical data is also gathered from the standpoint of intellectual property, with a focus on freedom of movement and white space. The dynamics of the industry in terms of drivers, restraints, and valuation trends are also gathered. As a result, the content created contains a diverse range of original data, which is then cross-validated and verified with published sources.
Statistical Model
Simulation models are used to generate our business estimates and forecasts. For each study, a one-of-a-kind model is created. Data gathered for market dynamics, the digital landscape, development services, and valuation patterns are fed into the prototype and analyzed concurrently. These factors are compared, and their effect over the projected timeline is quantified using correlation, regression, and statistical modeling. Market forecasting is accomplished through the use of a combination of economic techniques, technical analysis, industry experience, and domain knowledge.
Short-term forecasting is typically done with econometric models, while long-term forecasting is done with technological market models. These are based on a synthesis of the technological environment, legal frameworks, economic outlook, and business regulations. Bottom-up market evaluation is favored, with crucial regional markets reviewed as distinct entities and data integration to acquire worldwide estimates. This is essential for gaining a thorough knowledge of the industry and ensuring that errors are kept to a minimum.
Some of the variables taken into account for forecasting are as follows:
• Industry drivers and constraints, as well as their current and projected impact
• The raw material case, as well as supply-versus-price trends
• Current volume and projected volume growth through 2033
We allocate weights to these variables and use weighted average analysis to determine the estimated market growth rate.
Primary Validation
This is the final step in our report’s estimating and forecasting process. Extensive primary interviews are carried out, both in-person and over the phone, to validate our findings and the assumptions that led to them.
Leading companies from across the supply chain, including suppliers, technology companies, subject matter experts, and buyers, use techniques like interviewing to ensure a comprehensive and non-biased overview of the business. These interviews are conducted all over the world, with the help of local staff and translators, to overcome language barriers.
Primary interviews not only aid with data validation, but also offer additional important insight into the industry, existing business scenario, and future projections, thereby improving the quality of our reports.
All of our estimates and forecasts are validated through extensive research work with key industry participants (KIPs), which typically include:
• Market leaders
• Suppliers of raw materials
• Suppliers of raw materials
• Buyers.
The following are the primary research objectives:
• To ensure the accuracy and acceptability of our data.
• Gaining an understanding of the current market and future projections.
Data Collection Matrix
| Perspective | Primary research | Secondary research |
| Supply-side |
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| Demand-side |
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Market Analysis Matrix
| Qualitative analysis | Quantitative analysis |
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Prominent Player
- NEC Corporation
- Gemalto
- IDEMIA
- Aware Inc.
- FaceFirst Inc.
- Cognitec Systems GmbH
- BIO-key International Inc.
- Fujitsu Limited
- Nuance Communications Inc.
- Leidos Holdings Inc.
- Precise Biometrics AB
- HID Global Corporation
- Morpho
- Thales Group
- Veridium Ltd.
- Crossmatch
- Fingerprint Cards AB
- IDEX Biometrics ASA
- M2SYS Technology
- Biocryptology
- Others
FAQs
The restraints of the AI-Enabled Biometric market is concerns about data privacy.
The major driver for the AI-Enabled Biometric market is proliferation of AI-enabled biometrics for security threat prevention and integration of machine learning capabilities with AI algorithms.
The “Mobile Biometrics and Smart Devices” had the largest share in the global market for AI-Enabled Biometric.
The key players in the market are NEC Corporation, Gemalto , IDEMIA, Aware Inc., FaceFirst Inc., Cognitec Systems GmbH, BIO-key International Inc., Fujitsu Limited, Nuance Communications Inc., Leidos Holdings Inc., Precise Biometrics AB, HID Global Corporation, Morpho, Thales Group, Veridium Ltd., Crossmatch, Fingerprint Cards AB, IDEX Biometrics ASA, M2SYS Technology, Biocryptology, Others.
“North America” had the largest share in the AI-Enabled Biometric Market.
The global market is projected to grow at a CAGR of 15.4% during the forecast period, 2024-2033.
The AI-Enabled Biometric Market size was valued at USD 13.3 Billion in 2024.
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