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Global Automated Fingerprint Identification System Market by Component (Hardware, Software), Search Type (Latent Print to Latent Print Search, Tenprint to Tenprint Search), Application - Forecast 2023-2030

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  • 192 Pages
  • March 2024
  • Region: Global
  • 360iResearch™
  • ID: 4857994
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The Automated Fingerprint Identification System Market size was estimated at USD 8.92 billion in 2022, USD 10.42 billion in 2023, and is expected to grow at a CAGR of 17.09% to reach USD 31.55 billion by 2030.

An automated fingerprint identification system (AFIS) is a sophisticated biometric system used primarily to identify individuals through the analysis and comparison of their fingerprint patterns. Most commonly deployed by law enforcement agencies, this technology enhances the identification process by rapidly matching fingerprints against a database of known prints. The deployment of AFIS is expanding due to the increasing emphasis on security and identity verification, government initiatives for public safety, the integration of AFIS in consumer electronics, such as smartphones and laptops for access control, and the adaptation of this technology for voter registration and fraud prevention in banking and financial services. Moreover, technological advancements allow for the development of AFIS that are more user-friendly and accessible, contributing to their widespread adoption. However, concerns over privacy rights, the potential misuse of data, and the system's susceptibility to errors, which could result in false positives or false negatives, impact their widespread usage. To address these issues, continuous refinement of algorithms and error-checking protocols is necessary to reduce inaccuracies. Innovations such as the integration of AFIS with other biometric modalities, including facial recognition and iris scans, advancements in 3D fingerprint technology, and the development of portable AFIS devices are expected to enhance capabilities and drive market growth.

Regional Insights

In the Americas, particularly in North America, there is a high adoption rate for AFIS, driven by government initiatives for national security, law enforcement, and border control measures. The production is often backed by robust technology infrastructures and significant investment in research and development, with the United States leading in both innovation and deployment. In the APAC region, the use of AFIS is rapidly growing, largely due to the increasing need for sophisticated identification systems amidst the population surge and digital transformation initiatives. There is an emphasis on scaling AFIS for large-scale civil projects and integrating them with other biometric technologies. Europe emphasizes regulatory compliance with stringent privacy laws such as the GDPR, which affects the deployment of AFIS. Consequently, the use is more cautious but continues to grow in the law enforcement and public security sectors. The Middle East and Africa areas are increasingly adopting AFIS, attributed to the need for improved security systems to combat identity fraud and terrorism. Major players have made significant inroads into the Middle Eastern market, while local companies strive to meet the unique demands of the African markets.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Automated Fingerprint Identification System Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Automated Fingerprint Identification System Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Automated Fingerprint Identification System Market, highlighting leading vendors and their innovative profiles. These include 3M Company, Aratek Biometrics, Aware, Inc., BIO-key International, Dermalog Identification Systems GmbH, East Shore Technology, LLC, Fujitsu Limited, HID Global Corporation by Assa Abloy AB, Horiba Limited, id3 Technologies, IDEMIA, Innovatrics, s.r.o., Iritech, Inc., M2SYS Technology, Maxar Technologies Inc., NEC Corporation, Neurotechnology, Papillon Systems, Precise Biometrics AB, Safran Group, SecuGen Corporation, secunet Security Networks AG, Sonda Technologies Ltd., Suprema Inc., Synaptics Incorporated, and Thales Group.

Market Segmentation & Coverage

This research report categorizes the Automated Fingerprint Identification System Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Component
    • Hardware
      • Displays
      • Fingerprint Input Modules
      • Microprocessors/Microcontrollers
      • Sensors
        • Capacitive Sensors
        • Optical Sensors
        • Thermal Sensors
        • Ultrasound Sensors
    • Software
      • Database Fingerprints
      • Matchers
        • Miniature-Based Matching
        • Pattern Matching
  • Search Type
    • Latent Print to Latent Print Search
    • Tenprint to Tenprint Search
  • Application
    • Banking & Finance
    • Government
    • Healthcare
    • Hospitality
    • Institutional
    • Transportation
  • Region
    • Americas
      • Argentina
      • Brazil
      • Canada
      • Mexico
      • United States
        • California
        • Florida
        • Illinois
        • New York
        • Ohio
        • Pennsylvania
        • Texas
    • Asia-Pacific
      • Australia
      • China
      • India
      • Indonesia
      • Japan
      • Malaysia
      • Philippines
      • Singapore
      • South Korea
      • Taiwan
      • Thailand
      • Vietnam
    • Europe, Middle East & Africa
      • Denmark
      • Egypt
      • Finland
      • France
      • Germany
      • Israel
      • Italy
      • Netherlands
      • Nigeria
      • Norway
      • Poland
      • Qatar
      • Russia
      • Saudi Arabia
      • South Africa
      • Spain
      • Sweden
      • Switzerland
      • Turkey
      • United Arab Emirates
      • United Kingdom

The report offers valuable insights on the following aspects

  1. Market Penetration: It presents comprehensive information on the market provided by key players.
  2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
  3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
  4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
  5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as

  1. What is the market size and forecast of the Automated Fingerprint Identification System Market?
  2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Automated Fingerprint Identification System Market?
  3. What are the technology trends and regulatory frameworks in the Automated Fingerprint Identification System Market?
  4. What is the market share of the leading vendors in the Automated Fingerprint Identification System Market?
  5. Which modes and strategic moves are suitable for entering the Automated Fingerprint Identification System Market?

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Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Automated Fingerprint Identification System Market, by Region
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Transformation and technology evolution from a manual process to a digital process
5.1.1.2. Growing investments in government and enterprise sectors to support e-governance applications
5.1.1.3. Increasing online transactions along with rising national and network security threats
5.1.2. Restraints
5.1.2.1. Inconvenience and fear of privacy and intrusion
5.1.2.2. Availability of substitutes such as iris and face recognition technologies
5.1.3. Opportunities
5.1.3.1. High demand for access control systems in the government and civil sectors
5.1.3.2. Increasing demand for biometric systems as a service
5.1.3.3. Growth in the mobile solutions market
5.1.4. Challenges
5.1.4.1. Data security and rapid processing
5.1.4.2. Pricing and entry barriers in the large-sized markets
5.2. Market Segmentation Analysis
5.2.1. Component: Increasing use of fingerprint software for interpretation and analysis of this data
5.2.2. Search Type: High accuracy of tenprint to tenprint searches in automated fingerprint identification system
5.2.3. Application: Need for accurate and precise fingerprint identification in banking & finance sector
5.3. Market Trend Analysis
5.4. Cumulative Impact of COVID-19
5.5. Cumulative Impact of Russia-Ukraine Conflict
5.6. Cumulative Impact of High Inflation
5.7. Porter’s Five Forces Analysis
5.7.1. Threat of New Entrants
5.7.2. Threat of Substitutes
5.7.3. Bargaining Power of Customers
5.7.4. Bargaining Power of Suppliers
5.7.5. Industry Rivalry
5.8. Value Chain & Critical Path Analysis
5.9. Regulatory Framework
5.10. Client Customization
6. Automated Fingerprint Identification System Market, by Component
6.1. Introduction
6.2. Hardware
6.3.1. Displays
6.3.2. Fingerprint Input Modules
6.3.3. Microprocessors/Microcontrollers
6.3.4. Sensors
6.3.5.1. Capacitive Sensors
6.3.5.2. Optical Sensors
6.3.5.3. Thermal Sensors
6.3.5.4. Ultrasound Sensors
6.3. Software
6.4.1. Database Fingerprints
6.4.2. Matchers
6.4.3.1. Miniature-Based Matching
6.4.3.2. Pattern Matching
7. Automated Fingerprint Identification System Market, by Search Type
7.1. Introduction
7.2. Latent Print to Latent Print Search
7.3. Tenprint to Tenprint Search
8. Automated Fingerprint Identification System Market, by Application
8.1. Introduction
8.2. Banking & Finance
8.3. Government
8.4. Healthcare
8.5. Hospitality
8.6. Institutional
8.7. Transportation
9. Americas Automated Fingerprint Identification System Market
9.1. Introduction
9.2. Argentina
9.3. Brazil
9.4. Canada
9.5. Mexico
9.6. United States
10. Asia-Pacific Automated Fingerprint Identification System Market
10.1. Introduction
10.2. Australia
10.3. China
10.4. India
10.5. Indonesia
10.6. Japan
10.7. Malaysia
10.8. Philippines
10.9. Singapore
10.10. South Korea
10.11. Taiwan
10.12. Thailand
10.13. Vietnam
11. Europe, Middle East & Africa Automated Fingerprint Identification System Market
11.1. Introduction
11.2. Denmark
11.3. Egypt
11.4. Finland
11.5. France
11.6. Germany
11.7. Israel
11.8. Italy
11.9. Netherlands
11.10. Nigeria
11.11. Norway
11.12. Poland
11.13. Qatar
11.14. Russia
11.15. Saudi Arabia
11.16. South Africa
11.17. Spain
11.18. Sweden
11.19. Switzerland
11.20. Turkey
11.21. United Arab Emirates
11.22. United Kingdom
12. Competitive Landscape
12.1. FPNV Positioning Matrix
12.2. Market Share Analysis, By Key Player
12.3. Competitive Scenario Analysis, By Key Player
12.3.1. Agreement, Collaboration, & Partnership
12.3.1.1. IDEMIA Provides Interpol With An Enhanced Multibiometric Identification System To Support Its 196 Member Countries
12.3.1.2. Brookhaven Police Will Purchase Fingerprint Id System With Ossoff Grant
12.3.2. New Product Launch & Enhancement
12.3.2.1. Fingerprint Matching System Developed In-House By NADRA Reaches Market Launch
13. Competitive Portfolio
13.1. Key Company Profiles
13.1.1. 3M Company
13.1.2. Aratek Biometrics
13.1.3. Aware, Inc.
13.1.4. BIO-key International
13.1.5. Dermalog Identification Systems GmbH
13.1.6. East Shore Technology, LLC
13.1.7. Fujitsu Limited
13.1.8. HID Global Corporation by Assa Abloy AB
13.1.9. Horiba Limited
13.1.10. id3 Technologies
13.1.11. IDEMIA
13.1.12. Innovatrics, s.r.o.
13.1.13. Iritech, Inc.
13.1.14. M2SYS Technology
13.1.15. Maxar Technologies Inc.
13.1.16. NEC Corporation
13.1.17. Neurotechnology
13.1.18. Papillon Systems
13.1.19. Precise Biometrics AB
13.1.20. Safran Group
13.1.21. SecuGen Corporation
13.1.22. secunet Security Networks AG
13.1.23. Sonda Technologies Ltd.
13.1.24. Suprema Inc.
13.1.25. Synaptics Incorporated
13.1.26. Thales Group
13.2. Key Product Portfolio
14. Appendix
14.1. Discussion Guide
14.2. License & Pricing
List of Figures
FIGURE 1. AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM MARKET RESEARCH PROCESS
FIGURE 2. AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM MARKET SIZE, 2022 VS 2030
FIGURE 3. AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 4. AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM MARKET SIZE, BY REGION, 2022 VS 2030 (%)
FIGURE 5. AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM MARKET SIZE, BY REGION, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 6. AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM MARKET DYNAMICS
FIGURE 7. AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM MARKET SIZE, BY COMPONENT, 2022 VS 2030 (%)
FIGURE 8. AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM MARKET SIZE, BY COMPONENT, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 9. AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM MARKET SIZE, BY SEARCH TYPE, 2022 VS 2030 (%)
FIGURE 10. AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM MARKET SIZE, BY SEARCH TYPE, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 11. AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM MARKET SIZE, BY APPLICATION, 2022 VS 2030 (%)
FIGURE 12. AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM MARKET SIZE, BY APPLICATION, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 13. AMERICAS AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM MARKET SIZE, BY COUNTRY, 2022 VS 2030 (%)
FIGURE 14. AMERICAS AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM MARKET SIZE, BY COUNTRY, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 15. UNITED STATES AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM MARKET SIZE, BY STATE, 2022 VS 2030 (%)
FIGURE 16. UNITED STATES AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM MARKET SIZE, BY STATE, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 17. ASIA-PACIFIC AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM MARKET SIZE, BY COUNTRY, 2022 VS 2030 (%)
FIGURE 18. ASIA-PACIFIC AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM MARKET SIZE, BY COUNTRY, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 19. EUROPE, MIDDLE EAST & AFRICA AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM MARKET SIZE, BY COUNTRY, 2022 VS 2030 (%)
FIGURE 20. EUROPE, MIDDLE EAST & AFRICA AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM MARKET SIZE, BY COUNTRY, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 21. AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM MARKET, FPNV POSITIONING MATRIX, 2022
FIGURE 22. AUTOMATED FINGERPRINT IDENTIFICATION SYSTEM MARKET SHARE, BY KEY PLAYER, 2022

Companies Mentioned

  • 3M Company
  • Aratek Biometrics
  • Aware, Inc.
  • BIO-key International
  • Dermalog Identification Systems GmbH
  • East Shore Technology, LLC
  • Fujitsu Limited
  • HID Global Corporation by Assa Abloy AB
  • Horiba Limited
  • id3 Technologies
  • IDEMIA
  • Innovatrics, s.r.o.
  • Iritech, Inc.
  • M2SYS Technology
  • Maxar Technologies Inc.
  • NEC Corporation
  • Neurotechnology
  • Papillon Systems
  • Precise Biometrics AB
  • Safran Group
  • SecuGen Corporation
  • secunet Security Networks AG
  • Sonda Technologies Ltd.
  • Suprema Inc.
  • Synaptics Incorporated
  • Thales Group

Methodology

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Table Information