Automated Fingerprint Identification System Market Synopsis:

Automated Fingerprint Identification System Market Size Was Valued at USD 8.12 Billion in 2023, and is Projected to Reach USD 38.91 Billion by 2032, Growing at a CAGR of 19.02% From 2024-2032.

Nowadays AFIS is the name for the biometric system designed for the precise identification and verification of individuals based on fingerprint patterns. Fingerprint identification employs unique software and hardware in the process of collecting, storing as well as comparing fingerprints required in criminal investigation, civil identification and security. AFIS systems widely implemented in CJ, BC, banking sectors, and healthcare institutions as a tool to improve security, identity recognition as well as utilization of increased matching accuracy.

The main reason for growth of the AFIS market is an ever-growing need for security and safety measures in government and law enforcement bodies. The incidences of terrorism, cyber criminals and identity fraud are escalating and have made it necessary for countries to adopt AFIS biometric systems to boost up their national security and minimize on upcoming crimes. Today the worlds governments spend millions of dollars to implement AFIS technologies developing the secure national identity systems, strengthening borders and keeping a control over criminal’s records.

Isncreased adoption of digital technologies and automation in business lines such as banking, healthcare and finance is creating a market for AFIS. AFIS is utilized in numerous commercial apps for the reasons such as biometric systems are more accurate and efficient in the process of identification of users than conventional approaches. The advantages of using biometrics by verifying fingerprints in simpler tasks like online banking and health care services are making it adopt as a standard into other industries.

Automated Fingerprint Identification System Market

Automated Fingerprint Identification System Market Trend Analysis:

Increasing popularity of cloud-based systems

  • The following emerging trends are outlined for the AFIS market: increasing popularity of cloud-based systems. Since organizations in both private sectors and governments have increasingly shifted to digital platforms, cloud-based AFIS systems have started to attract attention because of their open, expandable and economic advantages. Cloud computing provides the capability of data storage of a huge amount of finger print data, is easily up gradable and provides greater processing rates and thus makes it suitable for implementations ranging from small to large.

  • Another trend is the evolution of multi modal biometric systems where fingerprint recognition can be integrated with other mode of biometric systems such as face recognition, iris scan and voice recognition. These systems have been specifically created to improve the efficiency of identification methods mainly within applications that require high sensitivity such as smuggling check-points and crime investigation. However, multi-modal systems are more effective since they allow for a reduced likelihood of errors, which could come from misread fingerprints, or other factors.

Rise in the demand for biometric systems

  • The latent demand for AFIS system is another market opportunity that is identified by various analyses; the rise in the demand for biometric systems in developing countries in particular. English speaking nations in the Asia-Pacific, Latin American and Middle Eastern regions are spending on digital infrastructure and the police force. This situation is a potential for AFIS providers to gain a larger market share for offering specific solutions to governments and organizations in these areas where citizens’ acceptance of biometric technology is still increasing.

  • The first opportunity is in the growing market for contactless fingerprint recognition solutions. This has launched biometric authentication through non-contact modalities into popularity due to increased health consciousness ushered in by the COVID-19 pandemic. This change is driving the emergence of improved fingerprint scans with contactless options but with high precision and security.

Automated Fingerprint Identification System Market Segment Analysis:

Automated Fingerprint Identification System Market is Segmented on the basis of Component, Function, Deployment, Application, End User, and Region.

By Component, Hardware segment is expected to dominate the market during the forecast period

  • The AFIS market by components: The AFIS market is divided into three main categories which are hardware, software, and services. This consists of finger print scanner, sensors and any other device that is used to acquire or capture biometric data. Hardware consists of the systems and machines which are used in firmware or software to compare and match fingerprints. It also contains data management software namely fingerprint data for storage and Keeping record.

  • Supports mean the maintenance services offered to guarantee efficient functioning of the AFIS systems. All these components have been adopted due to the increasing need for reliable, fast and scalable fingerprint identification solutions in a variety of industries.

By Application, Law Enforcement segment expected to held the largest share

  • The AFIS market is widely applied in different fields, main of them are categorized in law enforcement, it is applicable for the identification of criminals and investigation of certain crimes. Civil deployment of AFIS is applied in national identity projects and in registration of voters. In forensic investigation AFIS assists the departments of policing to connect the dots with regards to fingerprints and solve crimes.

  • Custom and border control offices employ AFIS to ensure that people crossing borders are eligible to avoid illicit processes. In the field of banking and financial services, AFIS acts as a secure platform for conducting transactions and identity check whereas in healthcare facility, the AFIS is playing and important role for better service delivery by limiting and controlling fraudulent cases and the records of the patients are being managed by the help of AFIS.

Automated Fingerprint Identification System Market Regional Insights:

North America is Expected to Dominate the Market Over the Forecast period

  • The AFIS market in North America is growing steadily in terms of procurement and adoption because of the enhanced security needs across the region and an escalating use of biometrics technologies. The U.S is the leading investor in the region on national security and law enforcement projects such as the fingerprint based criminal identification, border control and Immigration security. The state organizations like the FBI have implemented the high-end AFIS solution for organizing the extensive fingerprint database in its support through criminal cases and public security. In addition, the advanced technological change in all sectors such as banking and health is also increasing the implementation of AFIS for identification of the individuals and to safeguard against frauds.

  • The regions also benefit from presence of AFIS major vendors and technology developers that are constantly enhancing accuracy, processing speeds and other compatibility features inter alia interfaces with many other biometric systems. North America has a stable infrastructure, which is suitable for the installation of both centralized and centralized AFIS. In addition, there is rising worry over cybersecurity and data protection, which in association with more strict rules in AFIS systems, calls for higher usage of new systems to adjust to the rules and necessities for security. As the use of biometric technologies increase in the region and in various commercial and government needs the region will continue to be in the lead of the AFIS market.

Active Key Players in the Automated Fingerprint Identification System Market:

  • 3M Cogent (USA)
  • Ayonix (Japan)
  • Cognitec Systems GmbH (Germany)
  • Cross Match Technologies (USA)
  • Fujitsu Limited (Japan)
  • Gemalto (Netherlands)
  • IDEMIA (France)
  • MorphoTrust USA (now part of IDEMIA) (USA)
  • NEC Corporation (Japan)
  • SecuGen Corporation (USA), and Other Active Players

Automated Fingerprint Identification System Market

Base Year:

2023

Forecast Period:

2024-2032

Historical Data:

2017 to 2023

Market Size in 2023:

USD 8.12 Billion

Forecast Period 2024-32 CAGR:

 19.02%

Market Size in 2032:

USD 38.91 Billion

Segments Covered:

By Component

  • Hardware
  • Software
  • Services

By Function

  • Fingerprint Capture
  • Fingerprint Matching
  • Fingerprint Identification

By Deployment

  • On-Premise
  • Cloud-based

By Application

  • Law Enforcement
  • Civil Identification
  • Forensic Investigation
  • Immigration and Border Control
  • Banking and Financial Services
  • Healthcare

By End User

  • Government
  • Commercial
  • Law Enforcement Agencies
  • Military and Defense

By Region

  • North America (U.S., Canada, Mexico)
  • Eastern Europe (Russia, Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
  • Western Europe (Germany, UK, France, Netherlands, Italy, Spain, Rest of Western Europe)
  • Asia Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New-Zealand, Rest of APAC)
  • Middle East & Africa (Turkiye, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
  • South America (Brazil, Argentina, Rest of SA)

Key Market Drivers:

  • Increasing Demand for Enhanced Security Solutions

Key Market Restraints:

  • Privacy Concerns and Data Security Issues

Key Opportunities:

  • Rising Demand for Contactless Fingerprint Recognition Systems

Companies Covered in the report:

  • 3M Cogent (USA), Ayonix (Japan), Cognitec Systems GmbH (Germany), Cross Match Technologies (USA), Fujitsu Limited (Japan), and Other Active Players.

Chapter 1: Introduction
 1.1 Scope and Coverage

Chapter 2:Executive Summary

Chapter 3: Market Landscape
 3.1 Market Dynamics
  3.1.1 Drivers
  3.1.2 Restraints
  3.1.3 Opportunities
  3.1.4 Challenges
 3.2 Market Trend Analysis
 3.3 PESTLE Analysis
 3.4 Porter's Five Forces Analysis
 3.5 Industry Value Chain Analysis
 3.6 Ecosystem
 3.7 Regulatory Landscape
 3.8 Price Trend Analysis
 3.9 Patent Analysis
 3.10 Technology Evolution
 3.11 Investment Pockets
 3.12 Import-Export Analysis

Chapter 4: Automated Fingerprint Identification System Market by Component
 4.1 Automated Fingerprint Identification System Market Snapshot and Growth Engine
 4.2 Automated Fingerprint Identification System Market Overview
 4.3 Hardware
  4.3.1 Introduction and Market Overview
  4.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  4.3.3 Key Market Trends, Growth Factors and Opportunities
  4.3.4 Hardware: Geographic Segmentation Analysis
 4.4 Software
  4.4.1 Introduction and Market Overview
  4.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  4.4.3 Key Market Trends, Growth Factors and Opportunities
  4.4.4 Software: Geographic Segmentation Analysis
 4.5 Services
  4.5.1 Introduction and Market Overview
  4.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  4.5.3 Key Market Trends, Growth Factors and Opportunities
  4.5.4 Services: Geographic Segmentation Analysis

Chapter 5: Automated Fingerprint Identification System Market by Function
 5.1 Automated Fingerprint Identification System Market Snapshot and Growth Engine
 5.2 Automated Fingerprint Identification System Market Overview
 5.3 Fingerprint Capture
  5.3.1 Introduction and Market Overview
  5.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.3.3 Key Market Trends, Growth Factors and Opportunities
  5.3.4 Fingerprint Capture: Geographic Segmentation Analysis
 5.4 Fingerprint Matching
  5.4.1 Introduction and Market Overview
  5.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.4.3 Key Market Trends, Growth Factors and Opportunities
  5.4.4 Fingerprint Matching: Geographic Segmentation Analysis
 5.5 Fingerprint Identification
  5.5.1 Introduction and Market Overview
  5.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.5.3 Key Market Trends, Growth Factors and Opportunities
  5.5.4 Fingerprint Identification: Geographic Segmentation Analysis

Chapter 6: Automated Fingerprint Identification System Market by Application
 6.1 Automated Fingerprint Identification System Market Snapshot and Growth Engine
 6.2 Automated Fingerprint Identification System Market Overview
 6.3 Law Enforcement
  6.3.1 Introduction and Market Overview
  6.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.3.3 Key Market Trends, Growth Factors and Opportunities
  6.3.4 Law Enforcement: Geographic Segmentation Analysis
 6.4 Civil Identification
  6.4.1 Introduction and Market Overview
  6.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.4.3 Key Market Trends, Growth Factors and Opportunities
  6.4.4 Civil Identification: Geographic Segmentation Analysis
 6.5 Forensic Investigation
  6.5.1 Introduction and Market Overview
  6.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.5.3 Key Market Trends, Growth Factors and Opportunities
  6.5.4 Forensic Investigation: Geographic Segmentation Analysis
 6.6 Immigration and Border Control
  6.6.1 Introduction and Market Overview
  6.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.6.3 Key Market Trends, Growth Factors and Opportunities
  6.6.4 Immigration and Border Control: Geographic Segmentation Analysis
 6.7 Banking and Financial Services
  6.7.1 Introduction and Market Overview
  6.7.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.7.3 Key Market Trends, Growth Factors and Opportunities
  6.7.4 Banking and Financial Services: Geographic Segmentation Analysis
 6.8 Healthcare
  6.8.1 Introduction and Market Overview
  6.8.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.8.3 Key Market Trends, Growth Factors and Opportunities
  6.8.4 Healthcare: Geographic Segmentation Analysis

Chapter 7: Automated Fingerprint Identification System Market by Deployment Mode
 7.1 Automated Fingerprint Identification System Market Snapshot and Growth Engine
 7.2 Automated Fingerprint Identification System Market Overview
 7.3 On-Premise
  7.3.1 Introduction and Market Overview
  7.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  7.3.3 Key Market Trends, Growth Factors and Opportunities
  7.3.4 On-Premise: Geographic Segmentation Analysis
 7.4 Cloud-based
  7.4.1 Introduction and Market Overview
  7.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  7.4.3 Key Market Trends, Growth Factors and Opportunities
  7.4.4 Cloud-based: Geographic Segmentation Analysis

Chapter 8: Automated Fingerprint Identification System Market by End-User
 8.1 Automated Fingerprint Identification System Market Snapshot and Growth Engine
 8.2 Automated Fingerprint Identification System Market Overview
 8.3 Government
  8.3.1 Introduction and Market Overview
  8.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  8.3.3 Key Market Trends, Growth Factors and Opportunities
  8.3.4 Government: Geographic Segmentation Analysis
 8.4 Commercial
  8.4.1 Introduction and Market Overview
  8.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  8.4.3 Key Market Trends, Growth Factors and Opportunities
  8.4.4 Commercial: Geographic Segmentation Analysis
 8.5 Law Enforcement Agencies
  8.5.1 Introduction and Market Overview
  8.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  8.5.3 Key Market Trends, Growth Factors and Opportunities
  8.5.4 Law Enforcement Agencies: Geographic Segmentation Analysis
 8.6 Military and Defense
  8.6.1 Introduction and Market Overview
  8.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  8.6.3 Key Market Trends, Growth Factors and Opportunities
  8.6.4 Military and Defense: Geographic Segmentation Analysis

Chapter 9: Company Profiles and Competitive Analysis
 9.1 Competitive Landscape
  9.1.1 Competitive Benchmarking
  9.1.2 Automated Fingerprint Identification System Market Share by Manufacturer (2023)
  9.1.3 Industry BCG Matrix
  9.1.4 Heat Map Analysis
  9.1.5 Mergers and Acquisitions  
 9.2 3M COGENT (USA)
  9.2.1 Company Overview
  9.2.2 Key Executives
  9.2.3 Company Snapshot
  9.2.4 Role of the Company in the Market
  9.2.5 Sustainability and Social Responsibility
  9.2.6 Operating Business Segments
  9.2.7 Product Portfolio
  9.2.8 Business Performance
  9.2.9 Key Strategic Moves and Recent Developments
  9.2.10 SWOT Analysis
 9.3 NEC CORPORATION (JAPAN)
 9.4 FUJITSU LIMITED (JAPAN)
 9.5 IDEMIA (FRANCE)
 9.6 MORPHOTRUST USA (NOW PART OF IDEMIA) (USA)
 9.7 GEMALTO (NETHERLANDS)
 9.8 SECUGEN CORPORATION (USA)
 9.9 AYONIX (JAPAN)
 9.10 COGNITEC SYSTEMS GMBH (GERMANY)
 9.11 CROSS MATCH TECHNOLOGIES (USA)
 9.12 OTHER ACTIVE PLAYERS

Chapter 10: Global Automated Fingerprint Identification System Market By Region
 10.1 Overview
10.2. North America Automated Fingerprint Identification System Market
  10.2.1 Key Market Trends, Growth Factors and Opportunities
  10.2.2 Top Key Companies
  10.2.3 Historic and Forecasted Market Size by Segments
  10.2.4 Historic and Forecasted Market Size By Component
  10.2.4.1 Hardware
  10.2.4.2 Software
  10.2.4.3 Services
  10.2.5 Historic and Forecasted Market Size By Function
  10.2.5.1 Fingerprint Capture
  10.2.5.2 Fingerprint Matching
  10.2.5.3 Fingerprint Identification
  10.2.6 Historic and Forecasted Market Size By Application
  10.2.6.1 Law Enforcement
  10.2.6.2 Civil Identification
  10.2.6.3 Forensic Investigation
  10.2.6.4 Immigration and Border Control
  10.2.6.5 Banking and Financial Services
  10.2.6.6 Healthcare
  10.2.7 Historic and Forecasted Market Size By Deployment Mode
  10.2.7.1 On-Premise
  10.2.7.2 Cloud-based
  10.2.8 Historic and Forecasted Market Size By End-User
  10.2.8.1 Government
  10.2.8.2 Commercial
  10.2.8.3 Law Enforcement Agencies
  10.2.8.4 Military and Defense
  10.2.9 Historic and Forecast Market Size by Country
  10.2.9.1 US
  10.2.9.2 Canada
  10.2.9.3 Mexico
10.3. Eastern Europe Automated Fingerprint Identification System Market
  10.3.1 Key Market Trends, Growth Factors and Opportunities
  10.3.2 Top Key Companies
  10.3.3 Historic and Forecasted Market Size by Segments
  10.3.4 Historic and Forecasted Market Size By Component
  10.3.4.1 Hardware
  10.3.4.2 Software
  10.3.4.3 Services
  10.3.5 Historic and Forecasted Market Size By Function
  10.3.5.1 Fingerprint Capture
  10.3.5.2 Fingerprint Matching
  10.3.5.3 Fingerprint Identification
  10.3.6 Historic and Forecasted Market Size By Application
  10.3.6.1 Law Enforcement
  10.3.6.2 Civil Identification
  10.3.6.3 Forensic Investigation
  10.3.6.4 Immigration and Border Control
  10.3.6.5 Banking and Financial Services
  10.3.6.6 Healthcare
  10.3.7 Historic and Forecasted Market Size By Deployment Mode
  10.3.7.1 On-Premise
  10.3.7.2 Cloud-based
  10.3.8 Historic and Forecasted Market Size By End-User
  10.3.8.1 Government
  10.3.8.2 Commercial
  10.3.8.3 Law Enforcement Agencies
  10.3.8.4 Military and Defense
  10.3.9 Historic and Forecast Market Size by Country
  10.3.9.1 Russia
  10.3.9.2 Bulgaria
  10.3.9.3 The Czech Republic
  10.3.9.4 Hungary
  10.3.9.5 Poland
  10.3.9.6 Romania
  10.3.9.7 Rest of Eastern Europe
10.4. Western Europe Automated Fingerprint Identification System Market
  10.4.1 Key Market Trends, Growth Factors and Opportunities
  10.4.2 Top Key Companies
  10.4.3 Historic and Forecasted Market Size by Segments
  10.4.4 Historic and Forecasted Market Size By Component
  10.4.4.1 Hardware
  10.4.4.2 Software
  10.4.4.3 Services
  10.4.5 Historic and Forecasted Market Size By Function
  10.4.5.1 Fingerprint Capture
  10.4.5.2 Fingerprint Matching
  10.4.5.3 Fingerprint Identification
  10.4.6 Historic and Forecasted Market Size By Application
  10.4.6.1 Law Enforcement
  10.4.6.2 Civil Identification
  10.4.6.3 Forensic Investigation
  10.4.6.4 Immigration and Border Control
  10.4.6.5 Banking and Financial Services
  10.4.6.6 Healthcare
  10.4.7 Historic and Forecasted Market Size By Deployment Mode
  10.4.7.1 On-Premise
  10.4.7.2 Cloud-based
  10.4.8 Historic and Forecasted Market Size By End-User
  10.4.8.1 Government
  10.4.8.2 Commercial
  10.4.8.3 Law Enforcement Agencies
  10.4.8.4 Military and Defense
  10.4.9 Historic and Forecast Market Size by Country
  10.4.9.1 Germany
  10.4.9.2 UK
  10.4.9.3 France
  10.4.9.4 The Netherlands
  10.4.9.5 Italy
  10.4.9.6 Spain
  10.4.9.7 Rest of Western Europe
10.5. Asia Pacific Automated Fingerprint Identification System Market
  10.5.1 Key Market Trends, Growth Factors and Opportunities
  10.5.2 Top Key Companies
  10.5.3 Historic and Forecasted Market Size by Segments
  10.5.4 Historic and Forecasted Market Size By Component
  10.5.4.1 Hardware
  10.5.4.2 Software
  10.5.4.3 Services
  10.5.5 Historic and Forecasted Market Size By Function
  10.5.5.1 Fingerprint Capture
  10.5.5.2 Fingerprint Matching
  10.5.5.3 Fingerprint Identification
  10.5.6 Historic and Forecasted Market Size By Application
  10.5.6.1 Law Enforcement
  10.5.6.2 Civil Identification
  10.5.6.3 Forensic Investigation
  10.5.6.4 Immigration and Border Control
  10.5.6.5 Banking and Financial Services
  10.5.6.6 Healthcare
  10.5.7 Historic and Forecasted Market Size By Deployment Mode
  10.5.7.1 On-Premise
  10.5.7.2 Cloud-based
  10.5.8 Historic and Forecasted Market Size By End-User
  10.5.8.1 Government
  10.5.8.2 Commercial
  10.5.8.3 Law Enforcement Agencies
  10.5.8.4 Military and Defense
  10.5.9 Historic and Forecast Market Size by Country
  10.5.9.1 China
  10.5.9.2 India
  10.5.9.3 Japan
  10.5.9.4 South Korea
  10.5.9.5 Malaysia
  10.5.9.6 Thailand
  10.5.9.7 Vietnam
  10.5.9.8 The Philippines
  10.5.9.9 Australia
  10.5.9.10 New Zealand
  10.5.9.11 Rest of APAC
10.6. Middle East & Africa Automated Fingerprint Identification System Market
  10.6.1 Key Market Trends, Growth Factors and Opportunities
  10.6.2 Top Key Companies
  10.6.3 Historic and Forecasted Market Size by Segments
  10.6.4 Historic and Forecasted Market Size By Component
  10.6.4.1 Hardware
  10.6.4.2 Software
  10.6.4.3 Services
  10.6.5 Historic and Forecasted Market Size By Function
  10.6.5.1 Fingerprint Capture
  10.6.5.2 Fingerprint Matching
  10.6.5.3 Fingerprint Identification
  10.6.6 Historic and Forecasted Market Size By Application
  10.6.6.1 Law Enforcement
  10.6.6.2 Civil Identification
  10.6.6.3 Forensic Investigation
  10.6.6.4 Immigration and Border Control
  10.6.6.5 Banking and Financial Services
  10.6.6.6 Healthcare
  10.6.7 Historic and Forecasted Market Size By Deployment Mode
  10.6.7.1 On-Premise
  10.6.7.2 Cloud-based
  10.6.8 Historic and Forecasted Market Size By End-User
  10.6.8.1 Government
  10.6.8.2 Commercial
  10.6.8.3 Law Enforcement Agencies
  10.6.8.4 Military and Defense
  10.6.9 Historic and Forecast Market Size by Country
  10.6.9.1 Turkiye
  10.6.9.2 Bahrain
  10.6.9.3 Kuwait
  10.6.9.4 Saudi Arabia
  10.6.9.5 Qatar
  10.6.9.6 UAE
  10.6.9.7 Israel
  10.6.9.8 South Africa
10.7. South America Automated Fingerprint Identification System Market
  10.7.1 Key Market Trends, Growth Factors and Opportunities
  10.7.2 Top Key Companies
  10.7.3 Historic and Forecasted Market Size by Segments
  10.7.4 Historic and Forecasted Market Size By Component
  10.7.4.1 Hardware
  10.7.4.2 Software
  10.7.4.3 Services
  10.7.5 Historic and Forecasted Market Size By Function
  10.7.5.1 Fingerprint Capture
  10.7.5.2 Fingerprint Matching
  10.7.5.3 Fingerprint Identification
  10.7.6 Historic and Forecasted Market Size By Application
  10.7.6.1 Law Enforcement
  10.7.6.2 Civil Identification
  10.7.6.3 Forensic Investigation
  10.7.6.4 Immigration and Border Control
  10.7.6.5 Banking and Financial Services
  10.7.6.6 Healthcare
  10.7.7 Historic and Forecasted Market Size By Deployment Mode
  10.7.7.1 On-Premise
  10.7.7.2 Cloud-based
  10.7.8 Historic and Forecasted Market Size By End-User
  10.7.8.1 Government
  10.7.8.2 Commercial
  10.7.8.3 Law Enforcement Agencies
  10.7.8.4 Military and Defense
  10.7.9 Historic and Forecast Market Size by Country
  10.7.9.1 Brazil
  10.7.9.2 Argentina
  10.7.9.3 Rest of SA

Chapter 11 Analyst Viewpoint and Conclusion
11.1 Recommendations and Concluding Analysis
11.2 Potential Market Strategies

Chapter 12 Research Methodology
12.1 Research Process
12.2 Primary Research
12.3 Secondary Research
 

Automated Fingerprint Identification System Market

Base Year:

2023

Forecast Period:

2024-2032

Historical Data:

2017 to 2023

Market Size in 2023:

USD 8.12 Billion

Forecast Period 2024-32 CAGR:

 19.02%

Market Size in 2032:

USD 38.91 Billion

Segments Covered:

By Component

  • Hardware
  • Software
  • Services

By Function

  • Fingerprint Capture
  • Fingerprint Matching
  • Fingerprint Identification

By Deployment

  • On-Premise
  • Cloud-based

By Application

  • Law Enforcement
  • Civil Identification
  • Forensic Investigation
  • Immigration and Border Control
  • Banking and Financial Services
  • Healthcare

By End User

  • Government
  • Commercial
  • Law Enforcement Agencies
  • Military and Defense

By Region

  • North America (U.S., Canada, Mexico)
  • Eastern Europe (Russia, Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
  • Western Europe (Germany, UK, France, Netherlands, Italy, Spain, Rest of Western Europe)
  • Asia Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New-Zealand, Rest of APAC)
  • Middle East & Africa (Turkiye, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
  • South America (Brazil, Argentina, Rest of SA)

Key Market Drivers:

  • Increasing Demand for Enhanced Security Solutions

Key Market Restraints:

  • Privacy Concerns and Data Security Issues

Key Opportunities:

  • Rising Demand for Contactless Fingerprint Recognition Systems

Companies Covered in the report:

  • 3M Cogent (USA), Ayonix (Japan), Cognitec Systems GmbH (Germany), Cross Match Technologies (USA), Fujitsu Limited (Japan), and Other Active Players.

Frequently Asked Questions :

What would be the forecast period in the Automated Fingerprint Identification System Market research report?
The forecast period in the Automated Fingerprint Identification System Market research report is 2024-2032.
Who are the key players in the Automated Fingerprint Identification System Market?
3M Cogent (USA), Ayonix (Japan), Cognitec Systems GmbH (Germany), Cross Match Technologies (USA), Fujitsu Limited (Japan), Gemalto (Netherlands), IDEMIA (France), MorphoTrust USA (now part of IDEMIA) (USA), NEC Corporation (Japan), SecuGen Corporation (USA), and Other Active Players.
What are the segments of the Automated Fingerprint Identification System Market?
The Automated Fingerprint Identification System Market is segmented into Component, Function, Deployment, Application, End User, and Region. By Component, the market is categorized into Hardware, Software, and Services. By Function, the market is categorized into Fingerprint Capture, Fingerprint Matching, and Fingerprint Identification. By Application, the market is categorized into Law Enforcement, Civil Identification, Forensic Investigation, Immigration and Border Control, Banking and Financial Services, Healthcare. By Deployment Mode, the market is categorized into On-Premise, Cloud-based. By End-User, the market is categorized into Government, Commercial, Law Enforcement Agencies, Military and Defense. By region, it is analyzed across North America (U.S., Canada, Mexico), Eastern Europe (Russia, Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe), Western Europe (Germany, UK, France, Netherlands, Italy, Spain, Rest of Western Europe), Asia Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New Zealand, Rest of APAC), Middle East & Africa (Turkiye, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa), South America (Brazil, Argentina, Rest of SA).
What is the Automated Fingerprint Identification System Market?
Nowadays AFIS is the name for the biometric system designed for the precise identification and verification of individuals based on fingerprint patterns. Fingerprint identification employs unique software and hardware in the process of collecting, storing as well as comparing fingerprints required in criminal investigation, civil identification and security. AFIS systems widely implemented in CJ, BC, banking sectors, and healthcare institutions as a tool to improve security, identity recognition as well as utilization of increased matching accuracy.
How big is the Automated Fingerprint Identification System Market?
Automated Fingerprint Identification System Market Size Was Valued at USD 8.12 Billion in 2023, and is Projected to Reach USD 38.91 Billion by 2032, Growing at a CAGR of 19.02% From 2024-2032.