Global Automated Fingerprint Identification Systems Market Size, Trends & Growth Opportunity By Components (Software, Hardware, Services, and Other), By End-Use Industry (Health Care, BFSI, Retail, Government, and Others) and By Region and Forecast till 2027.

Global Automated Fingerprint Identification Systems Market

The Global Automated Fingerprint Identification Systems Market is expected to grow from US$ 9.42 Billion in 2021 to US$ 21.76 Billion by 2027; it is estimated to grow at a CAGR of % from 2021 to 2027.

The AFIS (Automated Fingerprint Identification System) is a biometric identification system that analyses and compares fingerprints from a database using digital imaging technology. Real-time database acquisition, uploading, and storage are also made possible by the software used by automatic fingerprint identification systems. For the purpose of resolving criminal cases, border and immigration control, as well as police and investigative agencies, AFIS was created.

Drivers: An upsurge in criminal and terrorist activities worldwide is driving 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. These actions might slow a country's economic development in the near future.

Restraints: Inaccurate sensors, problems with extracting features and matching techniques, and other challenges, such as the inability to compare and record fingerprint patterns because of blurring fingerprint patterns, are also likely to have an impact on development.

Opportunities: The second-largest global adoption of automated fingerprint identification technologies is the telecommunications sector. The AFIS industry is anticipated to grow exponentially in the future thanks to the widespread usage of AFIS technology to maintain security. Additionally, it is projected that increased border management actions will accelerate market expansion. In the approaching years, there are anticipated to be considerable prospects due to the rising need for AFIS across government sectors for use in global governance.

The market for automated fingerprint identification systems (AFIS) will expand as a result of numerous factors, including the expanding use of access control systems in the public sector and the acceptance of biometric services.

Impact of Covid-19

Nearly every business has been impacted by the unmatched worldwide public health emergency known as COVID-19, and the long-term impacts are expected to have an influence on industry growth throughout the course of the forecast period. In order to assure the inclusion of the underlying COVID-19 concerns and potential future directions, the ongoing research strengthens our research framework. The paper provides information on COVID-19 taking into account changes in consumer demand and behaviour, buying habits, supply chain rerouting, dynamics of contemporary market forces, and significant government initiatives.

Segmentation By Components: Automated Fingerprint Identification Systems Market is classified on the basis of Components into Software, Hardware, Services, and Other. Companies in the automatic fingerprint recognition systems sector are creating the software that combines AI and IoT. As a result, the software segment of the Automated Fingerprint Identification System Market has the greatest revenue.

Segmentation By End-Use Industry: Automated Fingerprint Identification Systems Market is classified on the basis of End-Use Industry into Health Care, BFSI, Retail, Government, and Others. Due to accelerated digitalization in the BFSI and rising use of AFIS solutions to have reliable customer and employee identification processes to prevent identity theft and fraud, the government segment currently holds the largest market share, followed by the BFSI.

Segmentation By Region: Automated Fingerprint Identification Systems Market is classified on the basis of Region into North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. Over the course of the projection year, the AFIS market in Asia and the Pacific is anticipated to grow significantly. Government endeavours to develop personal tax IDs, unique identity numbers, and electronic passports, among others, based on biometric data like fingerprint, iris, and facial recognition, are to blame for this growth.

Competitive Landscape: The key players of Automated Fingerprint Identification Systems Market are Safran (France), NEC Technologies India Private Limited (India), FUJITSU (Japan), Aware, Inc. (U.S.), Gemalto Cogent, Inc. (U.S.), BIO-key International, Inc. (U.S.), Precise Biometrics AB (Sweden), secunet Security Networks AG. (Germany), and Thales Group (France).

Industrial Development

• A new generation of access control systems from Suprema that strongly emphasises contactless options was introduced in March 2022. The BioStation 3 all-in-one access control solution, which offers a variety of credential alternatives from facial recognition and mobile access to QR codes, barcodes, and RFID cards, was the highlight of Suprema's show. The second half of the year will see the introduction of BioStation 3.
• An automatic fingerprint identification system (AFIS) powered by artificial intelligence was made public by FingerID in November 2019. It offers precise results for criminal investigations and immigration services.

Market Taxonomy

By Components

• Software
• Hardware
• Services
• Other

By End-Use Industry

• Health Care
• BFSI
• Retail
• Government
• Others

By Region

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa

Key Questions Addressed by the Report

• What are the Key Opportunities in Automated Fingerprint Identification Systems Market?
• What will be the growth rate from 2021 to 2027?
• Which segment/region will have highest growth?
• What are the factors that will impact/drive the Market?
• What is the competitive Landscape in the Industry?
• What is the role of key players in the value chain?