Global AI-Enabled Biometric Market 2024–2033

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.

To learn more about this report - request a sample report PDF

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

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