Biometric authentication is a security measure that relies on the unique biological characteristics of an individual to verify credentials. They capture the physiological and behavioral aspects. Iris, fingerprint and DNA are physiological biometric identifiers and rhythm, gait, voice and writing are behavioral identifiers. Biometric systems are based on facial features, fingerprints, handwriting, voice, hand geometry, retina, iris, etc. Biometric authentication systems match the biometric data that is captured with the authentic data confirmed in the database. The two sets of data are compared, namely the one preset by the device owner and the second one from the device visitor. If both samples match, authentication is confirmed. The match must be exactly identical and not almost identical. Biometric authentication is used to manage access to physical and digital resources, namely buildings, computing devices and rooms. Biometric authentication is gradually becoming a common place. Biological traits cannot be easily falsified, and it also offers an additional benefit of convenience.
The world's population is becoming increasingly aware of security and, therefore, biometric authentication devices are being widely adopted in governments, health care institutions, financial institutions, consumer electronics, commercial and retail vehicles, and Business. In the last decade, the world has witnessed several technological innovations that have made biometrics technically and commercially feasible. Contactless biometrics and portable biometric devices are some of those innovations. The convergence of market forces and parallel technologies that allow innovation are encouraging the emergence of innovative products at an unprecedented rate. The cost of high-end products will be greatly reduced in the coming years due to technological advances and the introduction of new devices in the market. Future market growth would be driven by the rapid adoption by the government and the use of biometrics in criminal identification.
Iris recognition The technology is combined with other technologies such as computer vision, statistical inferences, optics and pattern recognition. The areas of application for iris recognition are varied, and consumer electronics is an important area. Recently, iris scanners are used in various mobile devices; Samsung's Galaxy Note 7 features an iris scanner and is also found on Lumia 950 and Lumia 950 XL phones with Windows. It is being used in multiple editions of Fujitsu Arrow Devices, available through NTT Docomo, pioneer in smartphone iris biometrics. Iris recognition is most commonly used in physical access control in government and private companies, but the versatility of technology is expanding its use in other sectors of the economy, namely, transportation, national identification programs and medical care. The technology is also used in prisons, work areas, data centers, immigration centers, etc. Security is the main prerogative for organizations that use this technology, but it also offers the additional advantage of applications that improve productivity, including time and assistance. Companies and the government admit that there is a convergence of physical and information security environments, and that it will pose unique security challenges in the future, such as just-in-time inventory control, sophisticated supply chain management and a phenomenon called "cooperation" in which companies cooperate in some areas and compete in others. The design and implementation of the security system architecture are driven by the fact that the convergence of physical and information security requirements must converge, and this also determines the selection of biometric technology. Convergence management is becoming even more challenging as IT and communication become increasingly wireless and the need for strong identity management is becoming essential. Iris recognition technology can be used advantageously in the elimination of fraud, non-repudiation of sales, authentication of funds transfer, signature verification, credit card authorization, intellectual property and authorized access to Health care records.
According to Infoholic Research, the global iris recognition market is expected to grow at a compound annual rate of 21.8% during the 2017–2023 forecast period. The market is driven by factors such as the integration of iris scanners into smartphones, greater use in government projects, a greater incidence of fraudulent activities and security concerns, and a greater demand for the consumer electronics segment. The future potential of the market is promising due to opportunities such as R&D initiatives, a greater number of distribution channels, a greater demand from the travel / immigration industry and greater adoption in companies. Market growth is slowed by restrictive factors such as high costs, the gap in the user's understanding of the device, the vulnerability of iris recognition systems and the intrusion of privacy.
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The market has been segmented and analyzed by the following components: software and hardware.
Segmentation by end users
The market has been segmented and analyzed by the following end users: government, transportation, health, finance, NGOs, law enforcement and defense sectors.
Segmentation by Regions
The market has been segmented and analyzed by the following regions: North America, Europe, Latin America, APAC and MEA.
The market has been segmented and analyzed by the following applications: authentication of consumer devices, dispensing of pharmacies, ATM / ATM, border control (entry / exit) and others.
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The study covers and analyzes the "Global Iris Recognition" market. By presenting the full key knowledge of the industry, the report aims to provide an opportunity for players to understand the latest trends, the current market scenario, government initiatives and market-related technologies. In addition, it helps venture capitalists to better understand companies and make informed decisions.
• The report covers the drivers, restrictions and opportunities (DRO) that affect market growth during the forecast period (2017–2023).
• It also contains an analysis of provider profiles, which includes financial health, business units, key business priorities, SWOT, strategies and views.
• The report covers the competitive landscape, which includes mergers and acquisitions, joint ventures and collaborations, and competitor comparison analysis.
• In the profile section of the supplier, for companies that are privately owned, financial information and income of the segments will be limited.
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