Automated Fingerprint Identification Systems Market Size and Growth Rate: As per the latest reports published by Research Cosmos, Automated Fingerprint Identification Systems Market was valued at USD 5.61 billion in 2017 and projected to reach USD 25.49 billion by 2026 growing at a CAGR of 17.5% during 2017 to 2021. Browse details of 150 number of pages research report developed on Automated Fingerprint Identification Systems Market @ https://www.researchcosmos.com/reports/automated-fingerprintidentification-systems-market/1252246935 Automated Fingerprint Identification Systems Market Overview: The automated fingerprint identification is a method which traces an unknown finger impression toward recognized fingerprints that are available in a database. Automatic fingerprint classification methods are commonly employed with law implementation services for validation, criminal distinguishing proof, individual historical verification, and as a standard next fraud blocking. Automated Fingerprint Identification Systems Market Growth Drivers and Restraints: Automatic fingerprint classification has considerable attention across the world, due to developing security concerns and unlawful activities. The requirement for effective investigation and obvious suspect description should expand to solve crime. Furthermore, this desire for industrialization in criminal classification system and storage of information is increasing due to sluggish conventional criminal classification process. Moreover, the improvements in digital electronics technology and growing need for more active fingerprint identification are anticipated to drive the automated fingerprint identification business. Furthermore, the reliability, and accuracy of fingerprint classification is a significant concern in the criminal classification process. The mechanical breakdowns in the integration of hardware such as fingerprint scanner, and defects in software algorithm for fingerprint comparison are the important challenges holding this business. Moreover, with developing community in identification technologies such as palm recognition, and facial recognition, are likely to restraint the adoption of automated fingerprint identification market. The expanding adoption of this technology by government, and individual enterprises in civil identification schemes present opportunity for world market. Moreover, advancements in cloud based automatic fingerprint classification systems offer added increase chances.