The global market for Artificial Intelligence-Enabled Biometrics was valued at US$18.7 Billion in 2024 and is projected to reach US$49.0 Billion by 2030, growing at a CAGR of 17.5% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions. The report includes the most recent global tariff developments and how they impact the Artificial Intelligence-Enabled Biometrics market.
This intelligence layer allows biometric systems to perform complex recognition tasks with greater resilience to noise, partial inputs, or disguises. AI also enables contextual awareness by correlating multiple biometric and behavioral parameters (e.g., typing patterns, gait, eye movements) to verify identity or detect anomalies in real time. As cybersecurity threats escalate and digital transformation deepens, AI-enabled biometrics are becoming vital tools in sectors such as border control, banking, healthcare, law enforcement, enterprise IT, and smart city infrastructure - offering scalable, touchless, and frictionless security solutions.
Multimodal biometrics - where AI fuses multiple types of biometric data such as facial features combined with voice or fingerprints - are gaining traction due to their ability to compensate for the limitations of single-modality systems. These hybrid systems improve authentication confidence and user experience, especially in high-security contexts like airports, military installations, and financial services. Additionally, AI is enabling liveness detection to counter spoofing attacks using masks, photos, or deepfakes, ensuring the person being authenticated is physically present. This capability is increasingly important as identity fraud and biometric spoofing threats become more sophisticated.
In financial services, biometric authentication is being used for mobile banking access, ATM security, and fraud prevention - often replacing or complementing PINs and passwords. The healthcare sector is deploying biometric identity management to ensure accurate patient matching, secure medical record access, and authorized staff entry. Enterprises are using biometric authentication for zero-trust network access, time and attendance management, and secure remote logins. In consumer electronics, smartphones and wearables now routinely incorporate AI-enabled facial or fingerprint recognition, voice command personalization, and gesture-based interactions - embedding biometrics into everyday life.
Advancements in edge AI chips, mobile computing, and 5G connectivity are enabling biometric processing directly on devices, preserving user privacy while reducing latency and reliance on cloud infrastructure. Cross-industry partnerships between biometric vendors, AI platform providers, and system integrators are also fostering scalable solutions for both public and private sectors. Additionally, rising public acceptance of biometrics in daily transactions - combined with enhanced liveness detection, encryption, and privacy-preserving techniques such as federated learning - is reinforcing market momentum. As AI transforms identity management into a smarter, frictionless, and adaptive process, a key question now arises:Can AI-enabled biometrics strike the balance between ubiquitous convenience, high-security standards, and ethical data governance in an increasingly digitized world?
Segments: End-Use (Healthcare, BFSI, Transportation & Logistics, Government & Law Enforcement, Other End-Uses).
Geographic Regions/Countries: World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.
The analysts continuously track trade developments worldwide, drawing insights from leading global economists and over 200 industry and policy institutions, including think tanks, trade organizations, and national economic advisory bodies. This intelligence is integrated into forecasting models to provide timely, data-driven analysis of emerging risks and opportunities.
Global Artificial Intelligence-Enabled Biometrics Market - Key Trends & Drivers Summarized
Why Is AI Enhancing the Capabilities of Biometric Technologies Across Security and Identity Management?
Artificial Intelligence (AI)-enabled biometrics are revolutionizing identity verification and access control by improving accuracy, adaptability, and decision-making across biometric modalities such as facial recognition, iris scanning, fingerprint analysis, voice recognition, and behavioral biometrics. Traditional biometric systems depend on static pattern-matching techniques that can be limited by poor image quality, aging, spoofing attacks, or environmental variability. By integrating AI - especially deep learning and neural networks - modern biometric systems can dynamically learn from large datasets, continuously refine matching algorithms, and adapt to evolving patterns, thus significantly enhancing authentication robustness and reliability.This intelligence layer allows biometric systems to perform complex recognition tasks with greater resilience to noise, partial inputs, or disguises. AI also enables contextual awareness by correlating multiple biometric and behavioral parameters (e.g., typing patterns, gait, eye movements) to verify identity or detect anomalies in real time. As cybersecurity threats escalate and digital transformation deepens, AI-enabled biometrics are becoming vital tools in sectors such as border control, banking, healthcare, law enforcement, enterprise IT, and smart city infrastructure - offering scalable, touchless, and frictionless security solutions.
How Are Deep Learning Models and Multimodal Systems Expanding Biometric Performance and Applications?
Deep learning models - particularly convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers - are at the heart of AI-enabled biometric systems, driving breakthroughs in pattern recognition and feature extraction. These models can process high-dimensional inputs, such as 3D facial maps, thermal imaging, or audio signals, to achieve superior precision in identity matching even under challenging conditions like low lighting, varied angles, or noisy environments. Continuous model training using real-world datasets enhances system resilience and reduces error rates, false acceptances, and rejections.Multimodal biometrics - where AI fuses multiple types of biometric data such as facial features combined with voice or fingerprints - are gaining traction due to their ability to compensate for the limitations of single-modality systems. These hybrid systems improve authentication confidence and user experience, especially in high-security contexts like airports, military installations, and financial services. Additionally, AI is enabling liveness detection to counter spoofing attacks using masks, photos, or deepfakes, ensuring the person being authenticated is physically present. This capability is increasingly important as identity fraud and biometric spoofing threats become more sophisticated.
Where Is Adoption of AI-Enabled Biometrics Accelerating and Which Sectors Are Leading Deployment?
AI-enabled biometric systems are experiencing rapid adoption across North America, Europe, and Asia-Pacific, with the U.S., China, India, the U.K., and South Korea among the most active markets. Government and defense sectors lead in deployment for border security, national ID programs, and forensic analysis. Airports, for instance, are implementing facial recognition gates for automated immigration and boarding, significantly reducing wait times and human error. Law enforcement agencies use AI biometrics for surveillance, suspect identification, and forensic investigations, leveraging real-time facial analysis and crowd behavior analytics.In financial services, biometric authentication is being used for mobile banking access, ATM security, and fraud prevention - often replacing or complementing PINs and passwords. The healthcare sector is deploying biometric identity management to ensure accurate patient matching, secure medical record access, and authorized staff entry. Enterprises are using biometric authentication for zero-trust network access, time and attendance management, and secure remote logins. In consumer electronics, smartphones and wearables now routinely incorporate AI-enabled facial or fingerprint recognition, voice command personalization, and gesture-based interactions - embedding biometrics into everyday life.
What Is Driving the Global Growth of AI-Enabled Biometrics?
The growth in the AI-enabled biometrics market is driven by several converging trends, including the global shift toward contactless security, rising cyber and identity fraud threats, and increasing demand for seamless user authentication. A key driver is the maturity of AI technologies, which now allow biometric systems to operate at scale, in real-time, and with enhanced accuracy across diverse user populations and environments. Regulatory pressures for stronger data protection and identity assurance - such as GDPR, PSD2, and eIDAS in Europe, and KYC/AML mandates worldwide - are further accelerating enterprise investment in biometric solutions.Advancements in edge AI chips, mobile computing, and 5G connectivity are enabling biometric processing directly on devices, preserving user privacy while reducing latency and reliance on cloud infrastructure. Cross-industry partnerships between biometric vendors, AI platform providers, and system integrators are also fostering scalable solutions for both public and private sectors. Additionally, rising public acceptance of biometrics in daily transactions - combined with enhanced liveness detection, encryption, and privacy-preserving techniques such as federated learning - is reinforcing market momentum. As AI transforms identity management into a smarter, frictionless, and adaptive process, a key question now arises:Can AI-enabled biometrics strike the balance between ubiquitous convenience, high-security standards, and ethical data governance in an increasingly digitized world?
Report Scope
The report analyzes the Artificial Intelligence-Enabled Biometrics market, presented in terms of market value (US$ Thousand). The analysis covers the key segments and geographic regions outlined below.Segments: End-Use (Healthcare, BFSI, Transportation & Logistics, Government & Law Enforcement, Other End-Uses).
Geographic Regions/Countries: World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.
Key Insights:
- Market Growth: Understand the significant growth trajectory of the Healthcare End-Use segment, which is expected to reach US$21.2 Billion by 2030 with a CAGR of a 17.4%. The BFSI End-Use segment is also set to grow at 19.2% CAGR over the analysis period.
- Regional Analysis: Gain insights into the U.S. market, valued at $4.9 Billion in 2024, and China, forecasted to grow at an impressive 16.5% CAGR to reach $7.6 Billion by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.
Why You Should Buy This Report:
- Detailed Market Analysis: Access a thorough analysis of the Global Artificial Intelligence-Enabled Biometrics Market, covering all major geographic regions and market segments.
- Competitive Insights: Get an overview of the competitive landscape, including the market presence of major players across different geographies.
- Future Trends and Drivers: Understand the key trends and drivers shaping the future of the Global Artificial Intelligence-Enabled Biometrics Market.
- Actionable Insights: Benefit from actionable insights that can help you identify new revenue opportunities and make strategic business decisions.
Key Questions Answered:
- How is the Global Artificial Intelligence-Enabled Biometrics Market expected to evolve by 2030?
- What are the main drivers and restraints affecting the market?
- Which market segments will grow the most over the forecast period?
- How will market shares for different regions and segments change by 2030?
- Who are the leading players in the market, and what are their prospects?
Report Features:
- Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ Million from 2024 to 2030.
- In-Depth Regional Analysis: Detailed insights into key markets, including the U.S., China, Japan, Canada, Europe, Asia-Pacific, Latin America, Middle East, and Africa.
- Company Profiles: Coverage of players such as Aware Inc., Ayonix Pty Ltd, Biocube Technologies Inc., BIODIT Global Technology Ltd., BioEnable Technologies Pvt. Ltd. and more.
- Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.
Some of the 32 companies featured in this Artificial Intelligence-Enabled Biometrics market report include:
- Aware Inc.
- Ayonix Pty Ltd
- Biocube Technologies Inc.
- BIODIT Global Technology Ltd.
- BioEnable Technologies Pvt. Ltd.
- Camvi Technologies Inc.
- Clearview AI
- Cognitec Systems GmbH
- Facephi Biometria S.A.
- Fujitsu Limited
- Herta Security
- IDEMIA
- IDfy
- Incode Technologies Inc.
- Leidos Holdings Inc.
- M2SYS Technology
- NEC Corporation
- Neurotechnology
- Nuance Communications
- Onfido
Tariff Impact Analysis: Key Insights for 2025
Global tariff negotiations across 180+ countries are reshaping supply chains, costs, and competitiveness. This report reflects the latest developments as of April 2025 and incorporates forward-looking insights into the market outlook.The analysts continuously track trade developments worldwide, drawing insights from leading global economists and over 200 industry and policy institutions, including think tanks, trade organizations, and national economic advisory bodies. This intelligence is integrated into forecasting models to provide timely, data-driven analysis of emerging risks and opportunities.
What's Included in This Edition:
- Tariff-adjusted market forecasts by region and segment
- Analysis of cost and supply chain implications by sourcing and trade exposure
- Strategic insights into geographic shifts
Buyers receive a free July 2025 update with:
- Finalized tariff impacts and new trade agreement effects
- Updated projections reflecting global sourcing and cost shifts
- Expanded country-specific coverage across the industry
Table of Contents
I. METHODOLOGYII. EXECUTIVE SUMMARY2. FOCUS ON SELECT PLAYERSIII. MARKET ANALYSISIV. COMPETITION
1. MARKET OVERVIEW
3. MARKET TRENDS & DRIVERS
4. GLOBAL MARKET PERSPECTIVE
UNITED STATES
CANADA
JAPAN
CHINA
EUROPE
FRANCE
GERMANY
ITALY
UNITED KINGDOM
REST OF EUROPE
ASIA-PACIFIC
REST OF WORLD
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Aware Inc.
- Ayonix Pty Ltd
- Biocube Technologies Inc.
- BIODIT Global Technology Ltd.
- BioEnable Technologies Pvt. Ltd.
- Camvi Technologies Inc.
- Clearview AI
- Cognitec Systems GmbH
- Facephi Biometria S.A.
- Fujitsu Limited
- Herta Security
- IDEMIA
- IDfy
- Incode Technologies Inc.
- Leidos Holdings Inc.
- M2SYS Technology
- NEC Corporation
- Neurotechnology
- Nuance Communications
- Onfido
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 104 |
| Published | May 2025 |
| Forecast Period | 2024 - 2030 |
| Estimated Market Value ( USD | $ 18.7 Billion |
| Forecasted Market Value ( USD | $ 49 Billion |
| Compound Annual Growth Rate | 17.5% |
| Regions Covered | Global |
