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Convenient Security Solutions Gain Ground
The trend of digitalization has created a lucrative revenue stream for the biometrics middleware market, where data privacy, security, and access continues to be a key agenda among all digitally-driven businesses. These businesses are in constant search for convenient yet intelligent security solutions for avoiding fraudulent activities, market reputation and financial losses, as password security becomes more and more vulnerable to breaches. Various biometric technologies that range from signature to fingerprint verification continue to witness widespread acceptance across industries, in light of their cost-efficiency, reliability and accuracy. Biometrics middleware will witness high demand with growing reliance of enterprises on the biometric technologies for security.
Impact of Real-Time Data Processing on End-to-End Biometric Services Landscape
The need for data processing has been increasing significantly, as data monitoring services become more vulnerable to data concentration risks, devoid of location where data is stored – on cloud or remote server. Biometrics middleware providers have been developing peer-to-peer self-monitoring middleware solutions, for enabling real-time data management and processing. Growing demand for end-to-end solutions has created the requirement for integration of different middleware and software services. Leading biometric devices manufacturers are collaborating with middleware providers for establishing an integrated supply chain to deliver end-to-end solutions.
Multimodal Middleware Deems Biometrics as Fallback Security Solution
Reliance on biometric technologies has increased among enterprises in various industrial domains, which in turn has underpinned demand for multimodal biometric system. Multimodal biometric systems have now become ubiquitous, despite comparatively greater requirement for resources and time than monomodal systems. Additional modalities of the multimodal biometric systems enhance the de-duplication process, which in turn delivers greater accuracy. In light of the rising incorporation of multimodal biometric systems, the marketplace is booming with biometrics middleware vendors that deliver convenient multimodal middleware architectures unconstrained to single-core technology deployment.
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Growing Demand from Governments Creating New Opportunities
Biometrics middleware developers continue to tap opportunities created by adoption of biometrics in the government sector. Increasing emphasis on security alludes rapid adoption of biometric systems at airports, along with growing reliance of institutions such as Transportation Security Administration, and Customs and Border Protection Agency, on the biometrics for revving up their security. Biometrics middleware will also witness high demand as adoption of biometrics gains ground in military and law enforcement sectors. With advancements in the facial recognition technology that provides more efficient policing, biometric authentication is expected to gain high traction in the near future, thereby creating demand for biometrics middleware.
Integration of AI in Biometrics to Pave New Avenues
Artificial intelligence, machine learning and deep learning are likened to hand-in-glove in the area of biometrics. AI-driven biometrics has been primarily employed for fraud prevention in the financial services sector. Massive data breaches and requirement for enabling risk-based payment app authentication has extended the application of AI in biometrics to identity proofing for providing a new dimension to the online applications’ validity. Advances in AI are envisaged to drive more capabilities of biometrics, and with constant adoption, further refinement in approach of AI implementation in biometrics are expected to be realized. Concerns about privacy that include possible ways of using AI-driven biometrics by various law-enforcement agencies for violating civil liberties have been impeding penetration of the technology. Key companies such as Camvi have been taking efforts to bring biometrics integrated with AI into spotlight, by emphasizing on AI-powered solutions for the next-generation biometric systems. Leveraging artificial intelligence, next-generation systems are expected to demonstrate the level of autonomy and form of adaptiveness. This will enable users in overcoming challenges presented by the real-world scenarios, such as sub-standard and poor biometric collection, and long-range facial recognition.
Competition Landscape
Fact.MR’s report offers a comprehensive assessment of the biometrics middleware market’s competition landscape, and identified and profiles key biometrics middleware manufacturers. Presence of the biometrics middleware market players has been tracked and portrayed via an intensity map. A dashboard view of the biometrics middleware market players has also been offered in the report.
The report offers a detailed analysis on the company overview, product overview, recent development and key financial of the biometrics middleware market players. A SWOT analysis has also been offered on each biometrics middleware market player profiled in the report. Key biometrics middleware market players profiled in the report include Fischer International Identity, LLC, Crossmatch Technologies Inc., Precise Biometrics Ab, Daon Inc., Imageware Systems Inc., Centrify Corporation, and Identity Automation.
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Key Developments of Biometrics Middleware Market Players
- Aware Inc. has recently won a huge biometric contract with the government of United Kingdom. The company would assist in implementation of biometric services with applications in law enforcement, immigration, and border control.
- Daon recently announced its success of biometric authentication solution, which is based on the FIDO Alliance standards, for customers of one of the largest Hong Kong banks. This success was from a combined effort of Daon and subsidiary of Tradelink, called Digi-Sign.
- Aerendir is taking a novel approach toward mobile biometric authentication, called "proprioceptive neurophysiology." This concept emphasizes on signals generated within individuals, and shaped uniquely by their brain. Aerendir’s system detects these signals through hardware, which is commonly available in mobile devices, enhancing the standard concept of fingerprint scan.
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