RELATED SERVICE:
OT Cybersecurity
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.
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.
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?
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.