[250 Pages Report] The rise in criminal and terrorist activity has increased the value of automatic fingerprint identification systems. The automated fingerprint identification system is a biometric identification method that employs digital imaging technology to collect, store, and analyse fingerprint data.
Competitors in the automated fingerprint identification systems market are developing multimodal capture solutions to aid law enforcement and public safety. This tendency is converging with biometrics, which is reshaping the worldwide automated fingerprint identification systems market.
| Report Attributes | Details |
|---|---|
| Global Automated Fingerprint Identification System Market Size (2021A) | US$ 10.3 Billion |
| Global Automated Fingerprint Identification System Estimated Market Value (2022E) | US$ 12.6 Billion |
| Global Automated Fingerprint Identification System Forecasted Market Value (2032F) | US$ 85 Billion |
| Global Automated Fingerprint Identification System Market Growth Rate (2022 to 2032) | 21% CAGR |
| United States Automated Fingerprint Identification System Growth Rate (2022 to 2032) | 19% CAGR |
| Key Companies Covered |
|
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In terms of revenue, North America dominated the Automated Fingerprint Identification System (AFIS) sector. This trend is projected to continue throughout the projection period due to the early adoption of the technology and the existence of prominent AFIS providers in the area.
Furthermore, the market is predicted to expand due to increased use in the BFSI, retail, and education sectors. In North America, the Federal Bureau of Prisons, U.S. Customs and Border Protection (CBP), and the Federal Bureau of Investigation (FBI), among others, are pushing the demand for AFIS technology for criminal identification.
People in the United States are becoming increasingly conscious of their privacy rights and the proper use of surveillance technology. As a result, face recognition technology has limits in terms of guaranteeing national security since video cameras can be utilized for constant monitoring, putting people's privacy at risk.
The Asia Pacific AFIS market is likely to grow rapidly. This expansion can be attributed to an increase in government programmers who construct personal tax IDs, unique identity numbers, and e-passports, among other things, based on biometric information such as fingerprint, iris, and face recognition.
Moreover, governments are focusing on the implementation of biometric technologies at airports and border control in order to boost safety. As a result, usage has increased throughout the projection period.
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Manufacturing experts in biometrics are working on a device that can enroll, validate (through the AFIS algorithm), and verify the user's biometric information (fingerprints, face, and iris) of any user regardless of their location, connectivity, and environment. It can be connected to the internet through WiFi, BLE, LAN (with its RJ45 jack), or Global GSM capability.
Makers offer a new scalable and flexible automated fingerprint identification system (AFIS) that enables them to perform, edit, search, retrieve, and store biometric templates and subject information. Additionally, they provide a multi-modal automated biometric identification system that may integrate fingerprint identification with an iris or face recognition modality.
Furthermore, market players are designed to satisfy government agency requirements and offer fast, secure, and reliable outcomes, as seen by the ability to modify deployment models depending on particular demands and market conditions. They provide speedy and effective service while protecting data with fault-tolerant design, disc mirroring, automatic database backups, and disaster recovery solutions.
Industries are constantly experimenting with new ideas in automated fingerprint identification systems. When a startup firm develops a new generation of access control products that focuses largely on contactless solutions, it delivers an all-in-one access control solution that enables several credential alternatives, ranging from face recognition and mobile access to QR codes, barcodes, and RFID cards.
Future Market Insights’ analysis reveals that in 2022 revenue through the Automated Fingerprint Identification System Market is estimated at US$ 12.6 Bn.
Worldwide, Future growth of the automated fingerprint identification systems (AFIS) market is anticipated to be fueled by factors such as increasing demand for automated fingerprint identification systems in the banking and finance, government, and private sectors, growing advantages of AFIS over traditional methods, and increasing adoption of Automated Fingerprint Identification System in smartphones and automated teller machines.
The global market for the Automated Fingerprint Identification System Market expanded at a CAGR of 22.2% over the last four years (2015-2021). The market for automated fingerprint identification systems is extremely fragmented, with only five large companies holding more than 16% of the overall market share.
For instance, through its partner AqTronics Technologies and few other local suppliers, Crossmatch has sold over 1.5 Mn units of its U.are.U and TouchChip fingerprint solutions throughout the South Asia region. The United States will continue to be the largest user of Automated Fingerprint Identification System throughout the analysis period accounting for over US$ 24.7 Bn absolute dollar opportunity in the coming 10-year period.
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The demand for secure financial transactions is rising, and investments in the banking, finance and government sectors are increasing. To conduct quick, secure financial transactions and uphold privacy and security, automated fingerprint identification system technology is becoming more widely accepted in the government and banking sectors.
For instance, for consumers who utilize mobile phones with fingerprint access control, banks have recently adopted fingerprint verification technology. Additionally, fingerprinting is heavily utilized in the government sector for fraud prevention and criminal investigation.
Additionally, Automated Fingerprint Identification System is widely used by government organizations as it enhances crime-solving efficiency. Additionally, it is utilized for identification and attendance in these industries. As a result, these factors are fueling market expansion.
An upsurge in criminal and terrorist activities worldwide is driving the demand for automatic fingerprint identification systems to identify people for security purposes. Over the past 20 years, crime and terrorism have substantially escalated on a global scale. Numerous of these occurrences have led to both fatalities and huge financial losses.
The interoperability of the devices prevents the market from expanding. A significant barrier to the market's growth has been the sharing of data and algorithmic performance. To enable the Automated Fingerprint Identification System market's continued expansion, certain technological interoperability concerns must be solved.
Currently, high export tariffs on monitoring products to other countries are impeding the expansion of the automated fingerprint identification system market across emerging nations.
The market for automated fingerprint identification systems is likely to witness significant growth restraints due to the high cost of fingerprint sensors relative to the benefits they provide. However, research and development for this technology in emerging nations will provide it with a boost.
North America dominated the Automated Fingerprint Identification System (AFIS) industry. Due to early acceptance of the technology and the presence of significant Automated Fingerprint Identification System manufacturers in the region, this trend is expected to continue over the forecast period. In addition, the market is expected to grow due to the rising use in the BFSI, retail, and education sectors.
The Federal Bureau of Prisons, USA Customs and Border Protection (CBP), and the Federal Bureau of Investigation (FBI), among other important end-users of AFIS technology for criminal identification, are driving the market in North America.
The United States will account for over 29.1 Billion of the global Automated Fingerprint Identification System Market by 2032. Automatic Fingerprint Identification System Market growth was projected to average 22.2% CAGR from 2015 to 2021. USA citizens are becoming more aware of their rights to privacy and the appropriate use of monitoring technologies.
Therefore, facial recognition technology has limitations in terms of ensuring public safety as body cameras can be used as means for continuous surveillance, endangering people's privacy.
The Automated Fingerprint Identification System Market growth through the Software segment expanded at a CAGR of 21.6% during 2015 to 2021. For research purposes in real-time at national institutions like the FBI, CBI, and DAE, the fingerprint pattern-matching algorithm of software enables it for a considerably faster and more precise search of prints kept in databases.
According to Traxler, a more modern Automated Fingerprint Identification System has been benchmarked for at least 99% accuracy, the older Automated Fingerprint Identification System was only around 92% accurate in matching fingerprint patterns. Now the advanced Automated Fingerprint Identification System is operational with significant institutions worldwide.
Automated Fingerprint Identification System manufacturing companies are largely aiming for mergers/partnerships and launching new products that cater to different domains. The key companies operating in the Automated Fingerprint Identification System Market Include Biometrics4ALL Inc., Suprema, Gemalto NV, Crossmatch (HID Global), DERMALOG Identification Systems GmbH, M2SYS Technology, Morpho SA, 3M Cogent, Safran Identity and Security, NEC Corporation, Afix Technologies Inc., Biometrics4ALL, Fujitsu, Cross Match Technologies, HID Global Corporation, Morpho SA, The PU HIGH-TECH, IDEMIA, Suprema Incorporation, Papillon Systems, East Shore Technologies, Inc., AFIX Technologies, Sonda Technologies Ltd., ABC Inc., Accurate Biometrics, Inc., ACTAtek, Amadale Global Systems, Analogics Tech India Ltd., Anixter, Antheus Tecnologia LTDA, Aratek, Bio-Metrica LLC, BioRugged, BioRugged, Cognitec, Creative Time Solutions, Fingerprint Cards AB, Giesecke+Devrient Mobile Security GmbH, The Fingerprint Room Inc., ThreatMark, Veridas, UNION COMMUNITY Co., Ltd., IrisGuard, JENETRIC GmbH.
Some of the recent developments by key providers of the Automated Fingerprint Identification System Market are as follows:
Similarly, recent developments related to companies providing services for Automated Fingerprint Identification System Market have been tracked by the team at Future Market Insights, which is available in the full report.
The global Automated Fingerprint Identification System Market was valued at US$ 10.3 Bn in 2021.
The Automated Fingerprint Identification System Market is set to witness a growth rate of 21% over the forecast period and be valued at US$ 85 Bn by 2032.
The Automated Fingerprint Identification System Market expanded by a CAGR of 22.2% from 2015 through 2021.
The key players operating in the Automated Fingerprint Identification System Market are NEC Corporation, Crossmatch, IDEMIA, Dermalog Identification Systems GmbH, SUPREMA, and Sonda Technologies.
United States, United Kingdom, China, Japan, and South Korea are expected to drive the sales growth in the Automated Fingerprint Identification System Market.
The automated Fingerprint Identification System Market in China is expected to account for US$ 5.8 Bn by the end of the forecast year.
The United States accounts for the largest absolute dollar opportunity of US$ 24.7 Bn in the Automated Fingerprint Identification System Market.
1. Executive Summary
1.1. Global Market Outlook
1.2. Summary of Statistics
1.3. Key Market Characteristics & Attributes
1.4. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Risks and Trends Assessment
3.1. Risk Assessment
3.1.1. COVID-19 Crisis and Impact on Demand
3.1.2. COVID-19 Impact Benchmark with Previous Crisis
3.1.3. Impact on Market Value (US$ Mn)
3.1.4. Assessment by Key Countries
3.1.5. Assessment by Key Market Segments
3.1.6. Action Points and Recommendation for Suppliers
3.2. Key Trends Impacting the Market
3.3. Formulation and Product Development Trends
4. Market Background and Foundation Data Points
4.1. Global Market (US$ Mn)
4.2. Market Opportunity Assessment (US$ Mn)
4.2.1. Total Available Market
4.2.2. Serviceable Addressable Market
4.2.3. Serviceable Obtainable Market
4.3. Market Scenario Forecast
4.3.1. Demand in optimistic Scenario
4.3.2. Demand in Likely Scenario
4.3.3. Demand in Conservative Scenario
4.4. Investment Feasibility Analysis
4.4.1. Investment in Established Markets
4.4.1.1. In Short Term
4.4.1.2. In Long Term
4.4.2. Investment in Emerging Markets
4.4.2.1. In Short Term
4.4.2.2. In Long Term
4.5. Forecast Factors - Relevance & Impact
4.5.1. Top Companies Historical Growth
4.5.2. Global Market Growth
4.5.3. Adoption Rate, By Country
4.6. Market Dynamics
4.6.1. Market Driving Factors and Impact Assessment
4.6.2. Prominent Market Challenges and Impact Assessment
4.6.3. Market Opportunities
4.6.4. Prominent Trends in the Global Market & Their Impact Assessment
5. Key Success Factors
5.1. Manufacturers’ Focus on Low Penetration High Growth Markets
5.2. Banking on with Segments High Incremental Opportunity
5.3. Peer Benchmarking
6. Global Market Demand Analysis 2015-2021 and Forecast, 2022-2032
6.1. Historical Market Analysis, 2015-2021
6.2. Current and Future Market Projections, 2022-2032
6.3. Y-o-Y Growth Trend Analysis
7. Global Market Value Analysis 2015-2021 and Forecast, 2022-2032
7.1. Historical Market Value (US$ Mn) Analysis, 2015-2021
7.2. Current and Future Market Value (US$ Mn) Projections, 2022-2032
7.2.1. Y-o-Y Growth Trend Analysis
7.2.2. Absolute $ Opportunity Analysis
8. Global Market Analysis 2015-2021 and Forecast 2022-2032, By Component
8.1. Introduction / Key Findings
8.2. Historical Market Size (US$ Mn) Analysis By Component, 2015-2021
8.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Component, 2022-2032
8.3.1. Hardware
8.3.2. Software
8.3.3. Service
8.4. Market Attractiveness Analysis By Component
9. Global Market Analysis 2015-2021 and Forecast 2022-2032, By End-use
9.1. Introduction / Key Findings
9.2. Historical Market Size (US$ Mn) Analysis By End-use, 2015-2021
9.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By End-use, 2022-2032
9.3.1. Banking & Finance
9.3.2. Consumer Electronics
9.3.3. Defense & Security
9.3.4. Government
9.3.5. Healthcare
9.3.6. Transport/Logistics
9.3.7. Others
9.4. Market Attractiveness Analysis By End-use
10. Global Market Analysis 2015-2021 and Forecast 2022-2032, By Region
10.1. Introduction
10.2. Historical Market Size (US$ Mn) Analysis By Region, 2015-2021
10.3. Current Market Size (US$ Mn) & Analysis and Forecast By Region, 2022-2032
10.3.1. North America
10.3.2. Latin America
10.3.3. Europe
10.3.4. Asia Pacific
10.3.5. Middle East and Africa (MEA)
10.4. Market Attractiveness Analysis By Region
11. North America Market Analysis 2015-2021 and Forecast 2022-2032
11.1. Introduction
11.2. Pricing Analysis
11.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2015-2021
11.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032
11.4.1. By Country
11.4.1.1. U.S.
11.4.1.2. Canada
11.4.1.3. Rest of North America
11.4.2. By Component
11.4.3. By End-use
11.5. Market Attractiveness Analysis
11.5.1. By Country
11.5.2. By Component
11.5.3. By End-use
12. Latin America Market Analysis 2015-2021 and Forecast 2022-2032
12.1. Introduction
12.2. Pricing Analysis
12.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2015-2021
12.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032
12.4.1. By Country
12.4.1.1. Brazil
12.4.1.2. Mexico
12.4.1.3. Rest of Latin America
12.4.2. By Component
12.4.3. By End-use
12.5. Market Attractiveness Analysis
12.5.1. By Country
12.5.2. By Component
12.5.3. By End-use
13. Europe Market Analysis 2015-2021 and Forecast 2022-2032
13.1. Introduction
13.2. Pricing Analysis
13.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2015-2021
13.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032
13.4.1. By Country
13.4.1.1. Germany
13.4.1.2. France
13.4.1.3. U.K.
13.4.1.4. Italy
13.4.1.5. Benelux
13.4.1.6. Nordic Countries
13.4.1.7. Rest of Europe
13.4.2. By Component
13.4.3. By End-use
13.5. Market Attractiveness Analysis
13.5.1. By Country
13.5.2. By Component
13.5.3. By End-use
14. Asia Pacific Market Analysis 2015-2021 and Forecast 2022-2032
14.1. Introduction
14.2. Pricing Analysis
14.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2015-2021
14.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032
14.4.1. By Country
14.4.1.1. China
14.4.1.2. Japan
14.4.1.3. South Korea
14.4.1.4. Rest of Asia Pacific
14.4.2. By Component
14.4.3. By End-use
14.5. Market Attractiveness Analysis
14.5.1. By Country
14.5.2. By Component
14.5.3. By End-use
15. Middle East and Africa Market Analysis 2015-2021 and Forecast 2022-2032
15.1. Introduction
15.2. Pricing Analysis
15.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2015-2021
15.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032
15.4.1. By Country
15.4.1.1. GCC Countries
15.4.1.2. South Africa
15.4.1.3. Turkey
15.4.1.4. Rest of Middle East and Africa
15.4.2. By Component
15.4.3. By End-use
15.5. Market Attractiveness Analysis
15.5.1. By Country
15.5.2. By Component
15.5.3. By End-use
16. Key Countries Market Analysis 2015-2021 and Forecast 2022-2032
16.1. Introduction
16.1.1. Market Value Proportion Analysis, By Key Countries
16.1.2. Global Vs. Country Growth Comparison
16.2. US Market Analysis
16.2.1. Value Proportion Analysis by Market Taxonomy
16.2.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.2.2.1. By Component
16.2.2.2. By End-use
16.3. Canada Market Analysis
16.3.1. Value Proportion Analysis by Market Taxonomy
16.3.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.3.2.1. By Component
16.3.2.2. By End-use
16.4. Mexico Market Analysis
16.4.1. Value Proportion Analysis by Market Taxonomy
16.4.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.4.2.1. By Component
16.4.2.2. By End-use
16.5. Brazil Market Analysis
16.5.1. Value Proportion Analysis by Market Taxonomy
16.5.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.5.2.1. By Component
16.5.2.2. By End-use
16.6. Germany Market Analysis
16.6.1. Value Proportion Analysis by Market Taxonomy
16.6.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.6.2.1. By Component
16.6.2.2. By End-use
16.7. France Market Analysis
16.7.1. Value Proportion Analysis by Market Taxonomy
16.7.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.7.2.1. By Component
16.7.2.2. By End-use
16.8. Italy Market Analysis
16.8.1. Value Proportion Analysis by Market Taxonomy
16.8.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.8.2.1. By Component
16.8.2.2. By End-use
16.9. BENELUX Market Analysis
16.9.1. Value Proportion Analysis by Market Taxonomy
16.9.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.9.2.1. By Component
16.9.2.2. By End-use
16.10. UK Market Analysis
16.10.1. Value Proportion Analysis by Market Taxonomy
16.10.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.10.2.1. By Component
16.10.2.2. By End-use
16.11. Nordic Countries Market Analysis
16.11.1. Value Proportion Analysis by Market Taxonomy
16.11.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.11.2.1. By Component
16.11.2.2. By End-use
16.12. China Market Analysis
16.12.1. Value Proportion Analysis by Market Taxonomy
16.12.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.12.2.1. By Component
16.12.2.2. By End-use
16.13. Japan Market Analysis
16.13.1. Value Proportion Analysis by Market Taxonomy
16.13.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.13.2.1. By Component
16.13.2.2. By End-use
16.14. South Korea Market Analysis
16.14.1. Value Proportion Analysis by Market Taxonomy
16.14.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.14.2.1. By Component
16.14.2.2. By End-use
16.15. GCC Countries Market Analysis
16.15.1. Value Proportion Analysis by Market Taxonomy
16.15.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.15.2.1. By Component
16.15.2.2. By End-use
16.16. South Africa Market Analysis
16.16.1. Value Proportion Analysis by Market Taxonomy
16.16.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.16.2.1. By Component
16.16.2.2. By End-use
16.17. Turkey Market Analysis
16.17.1. Value Proportion Analysis by Market Taxonomy
16.17.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032
16.17.2.1. By Component
16.17.2.2. By End-use
16.17.3. Competition Landscape and Player Concentration in the Country
17. Market Structure Analysis
17.1. Market Analysis by Tier of Companies
17.2. Market Concentration
17.3. Market Share Analysis of Top Players
17.4. Market Presence Analysis
17.4.1. By Regional footprint of Players
17.4.2. Product footprint by Players
18. Competition Analysis
18.1. Competition Dashboard
18.2. Competition Benchmarking
18.3. Competition Deep Dive
18.3.1. NEC Corporation
18.3.1.1. Overview
18.3.1.2. Product Portfolio
18.3.1.3. Sales Footprint
18.3.1.4. Strategy Overview
18.3.2. Crossmatch
18.3.2.1. Overview
18.3.2.2. Product Portfolio
18.3.2.3. Sales Footprint
18.3.2.4. Strategy Overview
18.3.3. IDEMIA
18.3.3.1. Overview
18.3.3.2. Product Portfolio
18.3.3.3. Sales Footprint
18.3.3.4. Strategy Overview
18.3.4. Dermalog Identification Systems GmbH
18.3.4.1. Overview
18.3.4.2. Product Portfolio
18.3.4.3. Sales Footprint
18.3.4.4. Strategy Overview
18.3.5. SUPREMA
18.3.5.1. Overview
18.3.5.2. Product Portfolio
18.3.5.3. Sales Footprint
18.3.5.4. Strategy Overview
18.3.6. Fujitsu Limited
18.3.6.1. Overview
18.3.6.2. Product Portfolio
18.3.6.3. Sales Footprint
18.3.6.4. Strategy Overview
18.3.7. Sonda Technologies
18.3.7.1. Overview
18.3.7.2. Product Portfolio
18.3.7.3. Sales Footprint
18.3.7.4. Strategy Overview
18.3.8. HID Global Corporation
18.3.8.1. Overview
18.3.8.2. Product Portfolio
18.3.8.3. Sales Footprint
18.3.8.4. Strategy Overview
18.3.9. Papillon Systems
18.3.9.1. Overview
18.3.9.2. Product Portfolio
18.3.9.3. Sales Footprint
18.3.9.4. Strategy Overview
18.3.10. East Shore Technologies, Inc.
18.3.10.1. Overview
18.3.10.2. Product Portfolio
18.3.10.3. Sales Footprint
18.3.10.4. Strategy Overview
18.3.11. AFIX Technologies
18.3.11.1. Overview
18.3.11.2. Product Portfolio
18.3.11.3. Sales Footprint
18.3.11.4. Strategy Overview
19. Assumptions and Acronyms Used
20. Research Methodology
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Automated Fingerprint Identification System (AFIS) Market
