Automated fingerprint identification captures fingerprint as digital images and stored in the databases. Automated fingerprint identification is one of the major type of biometric identification that helps in general identification and fraud prevention. This identification system is used by organizations to let employees log in or logout at their workplaces. Automated fingerprint identification system is based on two major components such as hardware and software.

Increasing adoption of advance biometric technology i.e. automated fingerprint identification in the government sector is one of the key factor increases demand for automated fingerprint identification system. Automated fingerprint identification system demand is also rising in maintenance of law and enforcement services such as tracking criminals’ records. Automated fingerprint identification system has two major types such as inked prints and latent fingerprints. Inked fingerprints obtained by inking fingers’ one edge to another edge on the paper whereas in latent fingerprint is obtained by using powder to visible the fingerprint.

The automated fingerprint identification is also used for safety transactions across banking and finance sector. In addition, usage of automated fingerprint identification system is also increasing in several applications such as banking & finance, consumer electronics, defense & security, government, healthcare, transport which improves efficiency and save time for the identification process.

However, performance failure owing to inaccurate detection of fingerprint, fear of and interruption of privacy and availability of substitutes are some of the restraining factors of the automated fingerprint identification system.

The major opportunities recognized in the global automated fingerprint identification system market are integration of various advance technologies in automated fingerprint identification system which resulted into increasing preference for mobile payments and it also ensure safe transactions instead of using password as a safety tool. In addition, increasing fingerprint verification technology for mobile banking for customers who use mobile phone or tablet enabled with fingerprint access control. Rising usage of automated fingerprint identification system in healthcare sector as a better security solution in patient data management system.

The global automated fingerprint identification system market is segmented into component, end user and region. The component segment is further bifurcated into hardware, software and services. Software provides biometric platform for payment which provide high image quality and it takes more than 1 second time for verification procedure. Hardware component provides fingerprint touch sensor which provides less power consumption and user flexibility. On the basis of end user, the target market is segmented into government banking, Financial Services and Insurance (BFSI), consumer electronics, defense & security, education, healthcare, hospitality, retail and transport/logistics. The government banking has the maximum usage of automated fingerprint identification system due to security purpose. In financial services and insurance (BFSI), identification system protects company’s revenue and financial information and background of employ for security purpose of company.

North America has the largest adoption for the automated fingerprint identification system owing to increasing usage of highly advanced verification mechanism for secure identification in various applications. Asia Pacific market also has the significant share due to increasing awareness about security of defense, government banking, and healthcare data.