Transformative Horizons: Biometrics in the IoT  Image

Transformative Horizons: Biometrics in the IoT

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Actionable Benefits

  • Determine the key biometric use-cases across the entire IoT market ecosystem.
  • Identify the value proposition, opportunities, and market risks for each biometric IoT application.
  • Understand how to position and frame a biometric IoT strategy that focuses on intelligence and market requirements rather than standard authentication use-cases.

Critical Questions Answered

  • How can an IT-borne security technology like biometrics evolve into the larger IoT landscape?
  • Why should you invest in IoT biometrics? Is a Biometrics-as-a-Service model really an option?
  • Which IoT applications are easier to tackle and monetize? What pushback is expected? Can vendors move past the traditional one-time sale hardware-based model?

Research Highlights

  • All IoT biometric applications can be segmented according to various factors including local or cloud data management, infrastructure and regulatory requirements, IT or OT-focused markets, user experience, and critical functionality among others.
  • From smart home to connected vehicles, government, surveillance, AI systems, casinos, and entertainment all IoT applications and verticals have their own unique requirements and monetization strategies.
  • Increased connectivity and digitization demands along with the prevalence of intelligence-based system management in the IoT are key drivers for the organic evolution of biometrics. 

Who Should Read This?

  • Digital security providers specializing in IoT authorization services.
  • Hardware vendors and IoT players aiming to extend their monetization and pricing model portfolio.
  • C-Level executives, IoT strategy and IT services product managers.
  • Biometric algorithm, software and AI/ML developers.
  • Cloud service providers and centralized database service specialists.

Table of Contents

The Internet of Biometrics—Where Does It Succeed and Where Does It Fail?

The Internet of Things Trap

Value Proposition for the Internet of Biometrics

Examination of Key Biometric Concepts

Monetization and Market Outlook

IoT Application Segmentation

Healthcare

Enterprise and IT

Industrial and OT

Connected Vehicles

Casinos, Entertainment, and Public Events

Government and Civil

Law Enforcement and Border Control

Consumer Applications

Market Challenges

Plan and Frame your IoT Strategy Accordingly

Leveraging a Biometrics-as-a-Service Model

Biometrically Empowered Robotics

Biometric Drones

Brain-Machine Interface and Neuro-Engineering Biometrics