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Global Automated Fingerprint Identification System (AFIS) Market Size, Trends, and Analysis - Forecasts to 2026 By Component (Hardware, Software, Service), By End-Use (Banking & Finance, Consumer Electronics, Defense & Security, Government, Healthcare, Transport/Logistics, Others), By Region (North America, Asia Pacific, CSA, Europe, and the Middle East and Africa); End-User Landscape, Company Market Share Analysis & Competitor Analysis
A biometric identification technique called AFIS (automated fingerprint identification system) is a digital imaging technology that can evaluate and compare fingerprints from a repository. The application for the automated fingerprint identification system also enables real-time database storage, upload, and retrieval.
AFIS is designed to help law enforcement authorities such as police and investigative agencies in solving criminal cases as well as border and immigrant security. However, AFI software has found its way into a variety of private and government organizations that are rapidly expanding. Since each fingerprint is distinctive, fingerprints are regarded as a full-proof technique of detection. Fingerprinting is increasingly being used as a measure for avoiding or preventing any kind of fraudulence as digital technology advances. Automated fingerprint verification is commonly used in a variety of other systems, including access control and attendance.
The market has experienced substantial development over the previous years due to the benefits of AFIS technology, such as the higher degree of protection in public, commercial, and private organizations. It is more effective than standard techniques like tokens and passwords in reducing fraud and security violations.
The market for AFIS technology in law enforcement applications for criminal investigations is anticipated to rise as violent crime increases. The software is used to scan a database of current fingerprints for a sample of identified or latent fingerprints from a place of crime. Traditional detection techniques are less accurate than AFIS in terms of finding, matching, and classifying fingerprints. This is supposed to fuel the market's expansion.
AFIS captures and stores fingerprints using digital imaging technologies, which can then be matched to database reports to better identify a person. The technological progress and transition from the manual to the automated identification process, which offers more reliable outcomes, is anticipated to boost the market for the technology over the estimated timeframe.
The market is anticipated to expand due to the rising demand for advanced AFIS solutions and the widespread implementation of mobile payment systems around the world. Increasing security risks, demand for integrated systems, and an increase in online purchases are all projected to drive business growth.
However, the emergence of alternative identification technologies such as the face, iris, and voice recognition and authentication is estimated to stifle the automated fingerprint identification device market's development over the projected timeframe. Additionally, issues with extracting features and matching strategies, inaccurate sensors, and other difficulties, such as the failure to compare and record fingerprint patterns due to blurred fingerprint patterns, are likely to limit development to some extent.
During the forecast period, the software segment is expected to lead the market. This can be due to the increasing demand for advanced AFIS goods for a person or criminal recognition. Additionally, suppliers of automated fingerprint identification systems are concentrating on designing high-performance, standard-compliant technologies with complete modularity, allowing customers to quickly obtain a solution suited to their particular business operations.
The emergence of an open architecture framework focused on AFIS, that enables users to create a customizable identity management system by selecting components based on their company requirements. Over the projected era, this is supposed to fuel demand for software. The market is also anticipated to be driven by the development of advanced authentication security technologies that enable businesses to embed authentication into current applications and mitigate hardware costs.
As the market is witnessing the increasing use of AFIS to guarantee a unique identification for a person, which also helps eradicate problems such as fake identity and identity fraud, the government segment as per the end-user outlook will be the largest shareholder in the market. The consumer electronics market is anticipated to fuel the demand for advanced authentication and identification technologies in tablets and smartphones.
During the forecast period, the BFSI segment is anticipated to expand significantly. This development could be attributable to the growing adoption of AFIS technologies to enable safe financial transactions. Standard Bank, for example, launched fingerprint identification technology for mobile banking in April 2015 for consumers who use mobile phones or tablets with fingerprint access control. Bank of America filed a patent application in 2013 for biometric ATMs that will use fingerprint biometric data and pin code for depositing and withdrawing money.
In terms of sales, North America led the Automated Fingerprint Identification System (AFIS) market in 2020. Due to the early acceptance of the technology and the involvement of large AFIS suppliers in the area, this pattern is expected to continue over the forthcoming years.
Additionally, the demand is projected to expand due to the rising adoption of AFSI technologies by Education, retail, and BFSI industries. U.S. Customs and Border Protection (CBP), the Federal Bureau of Investigation (FBI), and the Federal Bureau of Prisons, among other influential end-users of AFIS technologies for criminal recognition, are driving the market in North America.
Over the projected era, the Asia Pacific AFIS market is projected to expand significantly. The increase in government policies to develop personal tax IDs, unique identification numbers, and e-passports, among other things, on the basis of biometric details such as fingerprints, iris, and facial recognition, can be attributable to this development. Furthermore, to increase security, policymakers are focused on the introduction of biometric solutions at airports and for border protection. As a result, demand is predicted to rise over the projected timeline.
The prominent market participants competing in the automated fingerprint identification system (AFIS) market are NEC Corporation; SUPREMA; Crossmatch; East Shore Technologies, Inc.; Sonda Technologies; IDEMIA; Fujitsu Limited; Dermalog Identification Systems GmbH; HID Global Corporation; Papillon Systems; Gemalto NV; and AFIX Technologies.
Please note: This is not an exhaustive list of companies profiled in the report.
In April 2018, SUPREMA introduced BioLite N2 at ISC West 2018, a safety and security exhibition in Las Vegas, Nevada. BioLite N2 was created for attendance and time applications and business access control technologies. It has a 1.2 GHz processor, 4 GB of RAM, and an IP67-compliant weatherproof design.
Chapter 1 Methodology
1.1 Market Scope & Definitions
1.2 Estimates & Forecast Calculation
1.3 Historical Data Overview and Validation
1.4 Data Sources
1.4.1 Secondary
1.4.2 Primary
Chapter 2 Report Outlook
2.1 Automated Fingerprint Identification System Industry Overview, 2019-2026
2.1.1 Industry Overview
2.1.2 Component Overview
2.1.3 End-User Overview
2.1.4 Regional Overview
Chapter 3 Automated Fingerprint Identification System Market Trends
3.1 Market Segmentation
3.2 Industry Background, 2019-2026
3.3 Market Key Trends
3.3.1 Positive Trends
3.3.1.1 Technology Advancement in Personal Identification System in Various Industry Verticals
3.3.1.2 The Rising Cases of Fake and Fraud Identification of Persons
3.3.2 Industry Challenges
3.3.2.1 High Cost Associated With the Software for Developing Regions
3.4 Prospective Growth Scenario
3.4.1 Component Growth Scenario
3.4.2 End-User Growth Scenario
3.5 COVID-19 Influence over Industry Growth
3.6 Porter’s Analysis
3.7 PESTEL Analysis
3.8 Value Chain & Supply Chain Analysis
3.9 Regulatory Framework
3.9.1 North America
3.9.2 Europe
3.9.3 APAC
3.9.4 LATAM
3.9.5 MEA
3.10 Technology Overview
3.11 Market Share Analysis, 2020
3.11.1 Company Positioning Overview, 2020
Chapter 4 Automated Fingerprint Identification System Market, By Component
4.1 Component Outlook
4.2 Hardware
4.2.1 Market Size, By Region, 2019-2026 (USD Million)
4.3 Software
4.3.1 Market Size, By Region, 2019-2026 (USD Million)
4.4 Service
4.4.1 Market Size, By Region, 2019-2026 (USD Million)
Chapter 5 Automated Fingerprint Identification System Market, By End-User
5.1 End-User Outlook
5.2 Banking & Finance
5.2.1 Market Size, By Region, 2019-2026 (USD Million)
5.3 Consumer Electronics
5.3.1 Market Size, By Region, 2019-2026 (USD Million)
5.4 Defense & Security
5.4.1 Market Size, By Region, 2019-2026 (USD Million)
5.5 Government
5.5.1 Market Size, By Region, 2019-2026 (USD Million)
5.6 Healthcare
5.6.1 Market Size, By Region, 2019-2026 (USD Million)
5.7 Others
5.7.1 Market Size, By Region, 2019-2026 (USD Million)
Chapter 6 Automated Fingerprint Identification System Market, By Region
6.1 Regional outlook
6.2 North America
6.2.1 Market Size, By Country 2019-2026 (USD Million)
6.2.2 Market Size, By Component, 2019-2026 (USD Million)
6.2.3 Market Size, By End-User, 2019-2026 (USD Million)
6.2.4 U.S.
6.2.4.1 Market Size, By Component, 2019-2026 (USD Million)
6.2.4.2 Market Size, By End-User, 2019-2026 (USD Million)
6.2.5 Canada
6.2.5.1 Market Size, By Component, 2019-2026 (USD Million)
6.2.5.2 Market Size, By End-User, 2019-2026 (USD Million)
6.3 Europe
6.3.1 Market Size, By Country 2019-2026 (USD Million)
6.3.2 Market Size, By Component, 2019-2026 (USD Million)
6.3.3 Market Size, By End-User, 2019-2026 (USD Million)
6.3.4 Germany
6.3.4.1 Market Size, By Component, 2019-2026 (USD Million)
6.3.4.2 Market Size, By End-User, 2019-2026 (USD Million)
6.3.5 UK
6.3.5.1 Market Size, By Component, 2019-2026 (USD Million)
6.3.5.2 Market Size, By End-User, 2019-2026 (USD Million)
6.3.6 France
6.3.6.1 Market Size, By Component, 2019-2026 (USD Million)
6.3.6.2 Market Size, By End-User, 2019-2026 (USD Million)
6.3.7 Italy
6.3.7.1 Market Size, By Component, 2019-2026 (USD Million)
6.3.7.2 Market Size, By End-User, 2019-2026 (USD Million)
6.3.8 Spain
6.3.8.1 Market Size, By Component, 2019-2026 (USD Million)
6.3.8.2 Market Size, By End-User, 2019-2026 (USD Million)
6.3.9 Russia
6.3.9.1 Market Size, By Component, 2019-2026 (USD Million)
6.3.9.2 Market Size, By End-User, 2019-2026 (USD Million)
6.4 Asia Pacific
6.4.1 Market Size, By Country 2019-2026 (USD Million)
6.4.2 Market Size, By Component, 2019-2026 (USD Million)
6.4.3 Market Size, By End-User, 2019-2026 (USD Million)
6.4.4 China
6.4.4.1 Market Size, By Component, 2019-2026 (USD Million)
6.4.4.2 Market Size, By End-User, 2019-2026 (USD Million)
6.4.5 India
6.4.5.1 Market Size, By Component, 2019-2026 (USD Million)
6.4.5.2 Market Size, By End-User, 2019-2026 (USD Million)
6.4.6 Japan
6.4.6.1 Market Size, By Component, 2019-2026 (USD Million)
6.4.6.2 Market Size, By End-User, 2019-2026 (USD Million)
6.4.7 Australia
6.4.7.1 Market Size, By Component, 2019-2026 (USD Million)
6.4.7.2 Market size, By End-User, 2019-2026 (USD Million)
6.4.8 South Korea
6.4.8.1 Market Size, By Component, 2019-2026 (USD Million)
6.4.8.2 Market Size, By End-User, 2019-2026 (USD Million)
6.5 Latin America
6.5.1 Market Size, By Country 2019-2026 (USD Million)
6.5.2 Market Size, By Component, 2019-2026 (USD Million)
6.5.3 Market Size, By End-User, 2019-2026 (USD Million)
6.5.4 Brazil
6.5.4.1 Market Size, By Component, 2019-2026 (USD Million)
6.5.4.2 Market Size, By End-User, 2019-2026 (USD Million)
6.5.5 Mexico
6.5.5.1 Market Size, By Component, 2019-2026 (USD Million)
6.5.5.2 Market Size, By End-User, 2019-2026 (USD Million)
6.5.6 Argentina
6.5.6.1 Market Size, By Component, 2019-2026 (USD Million)
6.5.6.2 Market Size, By End-User, 2019-2026 (USD Million)
6.6 MEA
6.6.1 Market Size, By Country 2019-2026 (USD Million)
6.6.2 Market Size, By Component, 2019-2026 (USD Million)
6.6.3 Market Size, By End-User, 2019-2026 (USD Million)
6.6.4 Saudi Arabia
6.6.4.1 Market Size, By Component, 2019-2026 (USD Million)
6.6.4.2 Market Size, By End-User, 2019-2026 (USD Million)
6.6.5 UAE
6.6.5.1 Market Size, By Component, 2019-2026 (USD Million)
6.6.5.2 Market Size, By End-User, 2019-2026 (USD Million)
6.6.6 South Africa
6.6.6.1 Market Size, By Component, 2019-2026 (USD Million)
6.6.6.2 Market Size, By End-User, 2019-2026 (USD Million)
Chapter 7 Company Landscape
7.1 Competitive Analysis, 2020
7.2 NEC Corporation
7.2.1 Company Overview
7.2.2 Financial Analysis
7.2.3 Strategic Positioning
7.2.4 Info Graphic Analysis
7.3 SUPREMA
7.3.1 Company Overview
7.3.2 Financial Analysis
7.3.3 Strategic Positioning
7.3.4 Info Graphic Analysis
7.4 Crossmatch
7.4.1 Company Overview
7.4.2 Financial Analysis
7.4.3 Strategic Positioning
7.4.4 Info Graphic Analysis
7.5 East Shore Technologies, Inc.
7.5.1 Company Overview
7.5.2 Financial Analysis
7.5.3 Strategic Positioning
7.5.4 Info Graphic Analysis
7.6 Sonda Technologies
7.6.1 Company Overview
7.6.2 Financial Analysis
7.6.3 Strategic Positioning
7.6.4 Info Graphic Analysis
7.7 IDEMIA
7.7.1 Company Overview
7.7.2 Financial Analysis
7.7.3 Strategic Positioning
7.7.4 Info Graphic Analysis
7.8 Fujitsu Limited
7.8.1 Company Overview
7.8.2 Financial Analysis
7.8.3 Strategic Positioning
7.8.4 Info Graphic Analysis
7.9 Dermalog Identification Systems GmbH
7.9.1 Company Overview
7.9.2 Financial Analysis
7.9.3 Strategic Positioning
7.9.4 Info Graphic Analysis
7.10 HID Global Corporation
7.10.1 Company Overview
7.10.2 Financial Analysis
7.10.3 Strategic Positioning
7.10.4 Info Graphic Analysis
7.11 Other Companies
7.11.1 Company Overview
7.11.2 Financial Analysis
7.11.3 Strategic Positioning
7.11.4 Info Graphic Analysis
The Global Automated Fingerprint Identification System (AFIS) Market has been studied from the year 2019 till 2026. However, the CAGR provided in the report is from the year 2021 to 2026. The research methodology involved three stages: Desk research, Primary research, and Analysis & Output from the entire research process.
The desk research involved a robust background study which meant referring to paid and unpaid databases to understand the market dynamics; mapping contracts from press releases; identifying the key players in the market, studying their product portfolio, competition level, annual reports/SEC filings & investor presentations; and learning the demand and supply-side analysis for the Automated Fingerprint Identification System (AFIS) Market.
The primary research activity included telephonic conversations with more than 50 tier 1 industry consultants, distributors, and end-use product manufacturers.
Finally, based on the above thorough research process, an in-depth analysis was carried out considering the following aspects: market attractiveness, current & future market trends, market share analysis, SWOT analysis of the company and customer analytics.
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