Report: Financial, Healthcare Sectors Will Help Drive Use Of Biometrics

  • Sep 03, 2008
Biometrics is seeing rapid adoption in public and private sectors worldwide as an accurate, reliable and cost-saving way to offer better and advanced security surveillance.

In the past few years, the biometrics  has developed from a new technology used in a narrow band of closed-environment applications to a useful, practical, fit-for-purpose tool used across a range of industries and in a wide variety of applications.

Along with the governments across the world, a growing number of financial services firms are also considering the use of biometric technology strongly as a more efficient and secure method of identifying its potential customers, according to “Global Biometric Forecast to 2012,” a recently released report from Research and Markets.

Key Research Highlights:

  • Propelled by several regulatory compliances and mandates, the global biometric market is expected to grow at a CAGR of more than 20 percent through 2012.
  • Biometric technologies like facial recognition, fingerprint, AFIS and iris are anticipated to account for more than 80 percent of the global biometric market by 2012.
  • Iris recognition technology is projected to grow at a CAGR of nearly 36 percent from 2008 to 2012 followed by hand geometry, voice recognition and face recognition.
  • Financial and healthcare sectors are likely to emerge as the major technology consumers over the forecast period with future CAGR pegged at around 45 percent and over 31 percent respectively.
  • North America and Asia-Pacific together are expected to account for nearly 55 percent of the global biometric market by 2012.
  • The global biometric market offers huge scope for devices/peripheral manufacturers and software developers to offer better quality services at affordable price in order to serve mass market.

Featured

  • Report: 47 Percent of Security Service Providers Are Not Yet Using AI or Automation Tools

    Trackforce, a provider of security workforce management platforms, today announced the launch of its 2025 Physical Security Operations Benchmark Report, an industry-first study that benchmarks both private security service providers and corporate security teams side by side. Based on a survey of over 300 security professionals across the globe, the report provides a comprehensive look at the state of physical security operations. Read Now

    • Guard Services

  • Identity Governance at the Crossroads of Complexity and Scale

    Modern enterprises are grappling with an increasing number of identities, both human and machine, across an ever-growing number of systems. They must also deal with increased operational demands, including faster onboarding, more scalable models, and tighter security enforcement. Navigating these ever-growing challenges with speed and accuracy requires a new approach to identity governance that is built for the future enterprise. Read Now

  • Eagle Eye Networks Launches AI Camera Gun Detection

    Eagle Eye Networks, a provider of cloud video surveillance, recently introduced Eagle Eye Gun Detection, a new layer of protection for schools and businesses that works with existing security cameras and infrastructure. Eagle Eye Networks is the first to build gun detection into its platform. Read Now

  • Report: AI is Supercharging Old-School Cybercriminal Tactics

    AI isn’t just transforming how we work. It’s reshaping how cybercriminals attack, with threat actors exploiting AI to mass produce malicious code loaders, steal browser credentials and accelerate cloud attacks, according to a new report from Elastic. Read Now

  • Pragmatism, Productivity, and the Push for Accountability in 2025-2026

    Every year, the security industry debates whether artificial intelligence is a disruption, an enabler, or a distraction. By 2025, that conversation matured, where AI became a working dimension in physical identity and access management (PIAM) programs. Observations from 2025 highlight this turning point in AI’s role in access control and define how security leaders are being distinguished based on how they apply it. Read Now

Most   Popular

New Products

  • Camden CM-221 Series Switches

    Camden CM-221 Series Switches

    Camden Door Controls is pleased to announce that, in response to soaring customer demand, it has expanded its range of ValueWave™ no-touch switches to include a narrow (slimline) version with manual override. This override button is designed to provide additional assurance that the request to exit switch will open a door, even if the no-touch sensor fails to operate. This new slimline switch also features a heavy gauge stainless steel faceplate, a red/green illuminated light ring, and is IP65 rated, making it ideal for indoor or outdoor use as part of an automatic door or access control system. ValueWave™ no-touch switches are designed for easy installation and trouble-free service in high traffic applications. In addition to this narrow version, the CM-221 & CM-222 Series switches are available in a range of other models with single and double gang heavy-gauge stainless steel faceplates and include illuminated light rings.

  • Connect ONE’s powerful cloud-hosted management platform provides the means to tailor lockdowns and emergency mass notifications throughout a facility – while simultaneously alerting occupants to hazards or next steps, like evacuation.

    Connect ONE®

    Connect ONE’s powerful cloud-hosted management platform provides the means to tailor lockdowns and emergency mass notifications throughout a facility – while simultaneously alerting occupants to hazards or next steps, like evacuation.

  • QCS7230 System-on-Chip (SoC)

    QCS7230 System-on-Chip (SoC)

    The latest Qualcomm® Vision Intelligence Platform offers next-generation smart camera IoT solutions to improve safety and security across enterprises, cities and spaces. The Vision Intelligence Platform was expanded in March 2022 with the introduction of the QCS7230 System-on-Chip (SoC), which delivers superior artificial intelligence (AI) inferencing at the edge.