The Global Automated Fingerprint Identification Market Size accounted for USD 12.7 Billion in 2022 and is projected to achieve a market size of USD 99.9 Billion by 2032 growing at a CAGR of 23.1% from 2023 to 2032.

Automated Fingerprint Identification Market Report Key Highlights

• Global automated fingerprint identification market revenue is expected to increase by USD 99.9 Billion by 2032, with a 23.1% CAGR from 2023 to 2032
• North America region led with more than 34% of automated fingerprint identification market share in 2022
• According to a NIST report, automated fingerprint recognition systems have an accuracy rate of more than 99%, making them one of the most dependable biometric identification technologies
• According to the NIST, fingerprint recognition accuracy has improved from 1 in 1,000 in 1990 to 1 in 100,000 currently
• According to the FBI's Criminal Justice Information Services Division, the Integrated Automated Fingerprint Identification System (IAFIS) processes an average of 71,000 fingerprint matches every day
• In 2022, the hardware segment accounted for more than 60% of the market share.
• Rising incidence of identity thefts, cyber crimes, and terrorist activities, drives the automated fingerprint identification market size

Automated Fingerprint Identification (AFI) is a biometric identification technology that uses an individual's unique fingerprints for identification and verification purposes. The technology involves capturing the fingerprint image electronically, then analyzing and comparing it against a database of stored fingerprints to identify or verify an individual's identity.

The global automated fingerprint identification market has experienced steady growth over the past few years and is expected to continue growing in the coming years. The market growth is driven by increasing demand for secure and reliable identification systems across various industries such as law enforcement, healthcare, banking, and government. In addition, the growing adoption of biometric technologies for security purposes, rising awareness about the benefits of fingerprint identification, and technological advancements in AFI systems are also contributing to the market growth. Additionally, advancements in artificial intelligence, machine learning, and cloud-based technologies are expected to further fuel the growth of the automated fingerprint identification market in the coming years.

Global Automated Fingerprint Identification Market Trends

Market Drivers

• Increasing demand for advanced security systems and biometric technologies for identification and authentication
• Rising incidence of identity thefts, cyber crimes, and terrorist activities
• Growing need for efficient and accurate fingerprint identification systems in law enforcement and border control applications
• Advancements in artificial intelligence, machine learning, and cloud-based technologies
• Rising adoption of mobile-based biometric authentication solutions

Market Restraints

• High cost of implementation and maintenance of systems
• Concerns regarding privacy and security of personal data

Market Opportunities

• Growing demand for biometric authentication solutions in the banking and financial services sector
• Increasing adoption of automated fingerprint identification systems in healthcare and retail sectors

Automated Fingerprint Identification Market Report Coverage

Market	Automated Fingerprint Identification Market
Automated Fingerprint Identification Market Size 2022	USD 12.7 Billion
Automated Fingerprint Identification Market Forecast 2032	USD 99.9Billion
Automated Fingerprint Identification Market CAGR During 2023 - 2032	23.1%
Automated Fingerprint Identification Market Analysis Period	2020 - 2032
Automated Fingerprint Identification Market Base Year	2022
Automated Fingerprint Identification Market Forecast Data	2023 - 2032
Segments Covered	By Component, By Search Type, By Application, And By Geography
Regional Scope	North America, Europe, Asia Pacific, Latin America, and Middle East & Africa
Key Companies Profiled	NEC Corporation, Morpho (Safran Identity & Security), 3M Cogent, Crossmatch Technologies, Suprema Inc., HID Global, DERMALOG Identification Systems, BioEnable Technologies Pvt. Ltd., Papilon Savunma, and Fujitsu Limited.
Report Coverage	Market Trends, Drivers, Restraints, Competitive Analysis, Player Profiling, Covid-19 Analysis, Regulation Analysis

Automated Fingerprint Identification Market Dynamics

Automated fingerprint identification refers to a procedure that evaluates an unidentified fingerprint with recognized fingerprints saved in the database. These systems are similar to access control systems and conventional attendance systems apart from that they provide time identification of fingerprints. Additionally, these systems facilitate a variety of tasks such as editing, processing, retrieving, searching, and saving fingerprint images. Moreover, law enforcement agencies use fingerprint identification systems for the identification of criminals, personal background check, authentication, and fraud prevention measures. Presently, automated fingerprint identification systems for identification and security purpose are used by several private enterprises and the government. The use of these systems in various applications includes border control, voter registration, national identity cards, latent printing matching, e-passports, public safety, and others.

Global automated fingerprint identification has achieved noteworthy attention attributed to increasing concern for security and unlawful activities. The need for effective investigation and trouble-free suspect identification has led to an increase in the growth of the automated fingerprint identification market. Furthermore, the requirement for automation in the storage of information and criminal identification system owing to the slow conventional process of criminal identification has also increased the market growth. Other factors impacting the market growth positively include developments in digital technology and rising demand for the fast process of fingerprint identification are projected to drive the market in the coming years. However, the accuracy and reliability of fingerprint identification are the key concerns associated with the criminal process. Technological failures related to the deployment of hardware such as scanners, and faults in software algorithms for comparison of the fingerprint are the main challenges hampering the market growth. In addition, the advancements in identification technologies such as facial recognition and palm recognition are anticipated to hinder the market growth for automated fingerprint identification. The increasing adoption of these systems by various private enterprises and government institutions in civil projects offers a potential opportunity for the automated fingerprint identification market.

Automated Fingerprint Identification Market Segmentation                             

The global automated fingerprint identification market segmentation is based on component, search type, application, and geography.

Automated Fingerprint Identification Market By Component

• Software
• Hardware

According to automated fingerprint identification industry analysis, the hardware segment accounted for the largest market share in 2022. The hardware segment includes the physical components that capture, store, and analyze fingerprints, such as fingerprint scanners, cameras, and biometric sensors. In recent years, the automated fingerprint identification market has experienced significant growth due to the increasing demand for biometric identification systems in various applications such as law enforcement, government, banking, and finance. The hardware segment is expected to account for a significant portion of this growth, driven by factors such as the increasing adoption of biometric identification systems, growing use in law enforcement and banking, finance, and technological advancements such as the development of 3D fingerprint scanning technology.

Automated Fingerprint Identification Market By Search Type

• Latent to Latent Searches
• Tenprint to Tenprint Searches

In terms of search type, the tenprint to tenprint searches segment is expected to lead the market in 2022. Tenprint refers to a full set of ten fingerprints, including both hands, which is often used for identification purposes. Tenprint to tenprint searches involves comparing a set of ten fingerprints to a database of other tenprints to identify a match. Tenprint to tenprint searches is commonly used in law enforcement for criminal investigations, background checks, and border control. The market for tenprint to tenprint searches is expected to continue growing as the demand for biometric identification systems increases, particularly in law enforcement and border control applications.

Automated Fingerprint Identification Market By Application

• Governments
• Commercial
• Healthcare
• Hospitality
• Banking & Finance
• Others

According to the automated fingerprint identification market forecast, the government segment is growing significantly in the coming years. This segment includes government agencies at the federal, state, and local levels that use biometric identification systems for various purposes, such as law enforcement, border control, and civil identification. Law enforcement is one of the primary applications of biometric identification systems in the government segment. Automated fingerprint identification systems (AFIS) are used to identify suspects in criminal investigations, match fingerprints found at crime scenes with existing records, and provide background checks for employment in law enforcement agencies. This has led to the widespread adoption of biometric identification systems in law enforcement agencies around the world. As the demand for biometric identification systems continues to grow in the government segment, the market is expected to experience significant growth in the coming years.

Automated Fingerprint Identification Market Regional Outlook

North America

• U.S.
• Canada

Europe

• U.K.
• Germany
• France
• Spain
• Rest of Europe

Asia-Pacific

• India
• Japan
• China
• Australia
• South Korea
• Rest of Asia-Pacific

Latin America

• Brazil
• Mexico
• Rest of Latin America

The Middle East & Africa

• South Africa
• GCC Countries
• Rest of the Middle East & Africa (ME&A)