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AI-Enabled Biometrics Market to Reach US$ 36.1 Billion by 2030 at 16.5% CAGR, Face Recognition Leads with 35% Share, Driven by NEC, IDEMIA & Thales

02-10-2026 10:58 AM CET | IT, New Media & Software

Press release from: DataM Intelligence 4Market Research LLP

AI-Enabled Biometrics Market

AI-Enabled Biometrics Market

The AI-Enabled Biometrics Market reached US$ 12.7 billion in 2022 and is expected to grow to around US$ 36.1 billion by 2030, expanding with a CAGR of approximately 16.5 % from 2024 to 2031 as demand for intelligent identity verification and security solutions continues to rise globally.

Growth is supported by increasing demand across key applications such as face recognition, fingerprint recognition, iris scanning, voice recognition, and behavioral biometrics used in mobile devices, security & surveillance, identity verification, access control, and government & defense, driven by rising cybersecurity threats, growing digital transformation initiatives, and the need for accurate, contactless authentication technologies. AI integration enhances biometric accuracy, speed, and adaptability, enabling broader adoption across sectors including BFSI, healthcare, public safety, and consumer electronics. Expansion of IoT, cloud computing, and machine learning platforms further accelerates deployment, fostering broad market adoption globally.

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AI-Enabled Biometrics Market: Competitive Intelligence
NEC Corporation, IDEMIA (OT-Mobility & Identity), Thales Group, Cognitec Systems GmbH, Suprema Inc., Aware Inc., Daon Inc., Gemalto (a Thales company), IDEGroup Inc., and Fingerprint Cards AB, and others.

The AI-Enabled Biometrics Market is strongly driven by leading players such as NEC Corporation, IDEMIA, Thales Group, Cognitec Systems, and Suprema, who develop advanced biometric identification and authentication solutions powered by artificial intelligence and machine learning. Their technologies including facial recognition, fingerprint scanning, iris recognition, voice biometrics, and behavioral analytics provide secure, accurate and real-time identity validation across applications in government & defense, banking and finance, healthcare, travel & immigration, and enterprise security. Increasing digital transformation across industries, stringent regulatory and compliance requirements for identity assurance, and rising demand for secure access control and fraud prevention are key factors fueling the market's growth.
These companies' complementary strengths robust AI and deep learning algorithms from NEC and Thales; integrated multi-modal biometric platforms from IDEMIA and Suprema; specialized facial and voice recognition engines from Cognitec and Daon; and flexible biometric software solutions from Aware and Fingerprint Cards are enhancing competitive positioning worldwide. Strategic focus areas include cloud-based biometric services, frictionless authentication experiences, privacy-preserving AI, mobile biometric integration, partnerships with system integrators and public sector agencies, and continuous advancement in anti-spoofing and liveness detection technologies to strengthen market competitiveness across security and identity management applications.

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Recent Key Developments - United States & North America
✅ January 2026: Ping Identity acquired Keyless, integrating advanced zero-knowledge biometric authentication to bolster identity security and passwordless multi-factor authentication, addressing rising AI-powered fraud threats.
✅ Early 2026: authID integrated its biometric identity solutions with ServiceNow, extending secure, AI-driven verification and authentication capabilities to contact centers and enterprise workflows globally.
✅ Late 2025: authID's PrivacyKeyTM product was named Best Digital Trust Solution ID Verification & Authentication at the 2025 PayTech Awards, highlighting industry leadership in fast, privacy-first biometric authentication.

Recent Key Developments - Global
✅ March 2025: AuthID partnered with Prove to co-develop deepfake-resistant biometric authentication by combining facial and voice recognition with mobile identity verification, strengthening global fraud prevention.
✅ 2025: Major system deployments at airports and transit systems introduced AI-enabled biometric boarding and hands-free turnstiles, improving passenger processing times and contactless identity verification in transport hubs.
✅ Mid-2025: Hyundai Motor Group signed an MoU with Suprema to co-develop AI-powered biometric access systems for smart buildings and robotics applications, reflecting cross-industry adoption.

Recent Key Developments - Product & Technology Innovation
✅ 2025: AI-powered liveness detection solutions such as "Intelligent Liveness" featuring passive plus active checks were introduced to significantly reduce false negatives and speed up capture times, enhancing anti-spoofing defenses.
✅ Ongoing: Behavioral biometric systems analyzing thousands of contextual signals are being deployed to detect sophisticated fraud in real time without relying solely on physical traits like fingerprints or facial prints.
✅ 2026: AI biometrics continue to expand into multi-modal authentication, integrating face, fingerprint, iris, voice, and behavioral analytics to provide stronger, seamless identity verification across devices and sectors.

Recent Regional & Industry Highlights
✅ 2026 (India): AI-powered biometric debit cards and dynamic CVV biometric authentication technologies were showcased at Pune's Maha-Tech expo, highlighting innovation in secure payment authentication.
✅ Cross-Sector AI Adoption: Financial services, healthcare, travel, and government sectors are increasingly deploying AI-enhanced biometrics for identity verification, fraud prevention, and access control.
✅ Behavioral Biometrics Emergence: Behavioral and context-aware biometric systems are gaining traction, offering continuous authentication and risk-based access decisions in real-time.

✅ 1. M&A / Strategic Developments
Biometrics consolidation driven by AI & fraud pressures
The biometrics industry has seen a significant wave of mergers and acquisitions in 2025, driven by rising AI-enabled fraud threats, digital identity convergence, and the need for deeper integration of AI into verification stacks. Analysts expect this consolidation pressure to continue into early 2026.
Multiple digital ID and biometrics technology providers have combined offerings (e.g., facial recognition, document verification, behavioral biometrics) to build more resilient authentication platforms in response to sophisticated AI threats.
This trend reflects a shift toward full-stack identity and fraud solutions integrating biometrics, AI, and compliance capabilities.

✅ 2. New Product Launches & Technology Developments
AI-Driven biometric authentication on cloud marketplaces
May 2025 Facephi announced availability of its AI-Driven Biometric ID Verification and Fraud Protection suite on the AWS Marketplace, expanding access to scalable enterprise-ready biometric solutions with facial biometrics, liveness detection, and fraud prevention.
The offering supports automated onboarding, passwordless authentication, and real-time fraud detection, emphasizing performance and compliance standards.

Biometric product portfolio expansion for payments and access
» September 2025 IDEX Biometrics ASA launched a new product portfolio focused on payment and access solutions with advanced biometric authentication capabilities.
»This shift marks a strategic transformation toward becoming a full product company, targeting passwordless authentication, secure payments, and access control markets.

AI-Powered facial biometric authentication to fight fraud
» January 2025 Entrust introduced an AI-powered facial biometric authentication capability for its Identity as a Service (IDaaS) platform, enabling encrypted, on-device biometric verification to enhance security and reduce fraud risk.
»The feature supports passwordless multi-factor authentication and adaptive risk-based access control.

✅ 3. R&D & Innovation Trends
Multimodal & age-independent biometrics
AI is enabling multi-modal biometric systems that combine multiple biometric signals (e.g., facial, iris, voice, behavioral) to improve accuracy, resilience, and adaptability over traditional single-modal approaches.
Emerging age-independent biometric techniques aim to maintain high accuracy over long durations, addressing issues such as changes in appearance over time - critical for secure, lifelong identity verification.

AI-Facilitated Identity Verification Platforms
» 2025 industry innovations also include AI-based identity verification platforms that combine biometric checks with document and KYC/KYB compliance checks for automated onboarding at scale.
»These solutions leverage advanced machine learning classifiers and automated decision engines, enabling faster verification workflows across financial services, travel, and government applications.

Technology Adoption Patterns
» Key biometric technologies shaping the market include:
Fingerprint recognition currently the largest share due to broad hardware integration and ease of deployment.
» Voice recognition projected to be one of the fastest-growing segments as it enhances seamless, hands-free authentication.
» AI-Driven Behavioral Biometrics increasingly used for continuous authentication and fraud prevention.

High-Value Use Cases
Major use cases driving adoption include:
» Fraud prevention and risk management AI techniques detect anomalies and adversarial behavior in real time.
» Digital onboarding across BFSI biometric verification accelerates KYC/AML workflows.
» Security and surveillance AI biometrics supports public safety and asset protection.

Segments Covered in the AI-enabled Biometrics Market:
By Modalities
The market is segmented into Face Recognition 35%, Fingerprint Recognition 30%, Iris Recognition 15%, Voice Recognition 12%, and Others 8%, with face recognition dominating due to rapid adoption across smartphones, surveillance systems, and access control applications. Fingerprint recognition remains widely used because of its reliability, cost-effectiveness, and legacy integration across devices. Iris recognition is gaining traction in high-security and government applications due to superior accuracy. Voice recognition adoption is increasing in mobile authentication and smart devices. Continuous AI-driven improvements in accuracy and anti-spoofing technologies support market growth.
By End-User
End-users include Mobile Biometrics & Smart Devices 40%, Identity Verification & Authentication 25%, Biometric Access Control Systems 15%, Surveillance & Security 15%, and Others 5%, with mobile biometrics and smart devices leading due to widespread smartphone penetration and demand for seamless user authentication. Identity verification and authentication solutions are growing rapidly with expansion of digital banking and online services. Biometric access control systems are increasingly deployed in enterprises and public infrastructure. Surveillance and security adoption is driven by smart city initiatives and public safety requirements.
By Application
Applications include Government 30%, BFSI 25%, Defense 15%, Home Security 10%, Healthcare 10%, and Others 10%, with government applications dominating due to national ID programs, e-passports, border control, and public security initiatives. BFSI adoption is driven by the need for fraud prevention, digital onboarding, and regulatory compliance. Defense applications leverage AI-enabled biometrics for secure access and intelligence operations. Home security and healthcare are growing steadily with increased use of smart locks, patient identification, and contactless authentication systems.

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Regional Analysis
North America - 35% Share
North America leads with 35% share, driven by early adoption of AI technologies, strong presence of biometric solution providers, and high demand from government, BFSI, and defense sectors. Face and fingerprint recognition dominate. Identity verification and mobile biometrics are widely adopted. Strong regulatory frameworks and cybersecurity investments support market leadership.
Europe - 25% Share
Europe holds 25% share, supported by government ID initiatives, border security programs, and growing adoption in BFSI and healthcare sectors. Face and fingerprint recognition are widely used. Data protection regulations drive demand for secure and compliant biometric solutions. Smart city and digital identity projects fuel growth.
Asia Pacific - 20% Share
Asia Pacific accounts for 20% share, driven by large-scale population, rapid smartphone adoption, and extensive government-led biometric programs in countries such as China, India, and Japan. Mobile biometrics dominate end-user adoption. Face and fingerprint recognition lead modalities. Expanding fintech and e-governance initiatives accelerate market growth.

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✅ Competitive Landscape
✅ Technology Roadmap Analysis
✅ Sustainability Impact Analysis
✅ KOL / Stakeholder Insights
✅ Consumer Behavior & Demand Analysis
✅ Import-Export Data Monitoring
✅ Live Market & Pricing Trends

Contact Us -
Company Name: DataM Intelligence
Contact Person: Sai Kiran
Email: Sai.k@datamintelligence.com
Phone: +1 877 441 4866
Website: https://www.datamintelligence.com

About Us -
DataM Intelligence is a Market Research and Consulting firm that provides end-to-end business solutions to organizations from Research to Consulting. We, at DataM Intelligence, leverage our top trademark trends, insights and developments to emancipate swift and astute solutions to clients like you. We encompass a multitude of syndicate reports and customized reports with a robust methodology.

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