행동 바이오메트릭스 : 세계 시장 점유율(2022년)

Quadrant Knowledge Solutions Reveals that Behavioral Biometrics Market is Projected to Register a CAGR of 11.9% by 2027.

Behavioral biometrics is an evolving cybersecurity technology. With the increasing use of internet and IOT devices, organizations are facing the growing need to combat various fraudulent and cybercrime activities. This has given rise to advanced behavioral biometric solutions which are backed by AI and ML technologies. Behavioral Biometrics factors in various digital and cognitive behaviors include keyboard dynamics, typing cadence, touchscreen movement, and device movement for user reauthentication. Unlike traditional authentication methods, including password-based authentication, multi-factor authentication, token-based, certificate-based and biometrics authentication, behavioral biometrics is comparatively simple authentication method as it does not require remembering passwords and prevents users from cyberattacks.

Organizations are continuing to invest in Behavioral Biometrics solutions to add an extra layer of defense to identity authentication to detect high-risk scenarios and enhancing fraud prevention capabilities. The silent authentication characteristic is the key factor in driving the adoption of behavioral biometrics solutions. FIs are focusing on building various security measures and strategies and strengthening the user authentication capabilities to improve online security to prevent their customers from growing fraud attacks. Behavioral Biometrics solutions provide robust and scalable authentication capabilities that aid FIs in fighting growing risks. The solutions focus on analyzing user behavior across online channels to reduce maintaining user database.

Quadrant Knowledge Solutions defines Behavioral Biometrics as "A technology that passively and continuously monitors, analyzes, and authenticates users based on their behavioral, cognitive, and response attributes such as keystroke dynamics, device handling, touchscreen interaction, mouse movements, navigation pattern, form context and fluency, and data familiarity across the entire customer lifecycle. Behavioral Biometrics leverages advanced analytics and machine learning modules to continuously generate behavioral risk scores that helps reduce false positives, minimize risk identification and remediation time and drives frictionless customer experience."

While FIs are increasingly adopting biometrics solutions, they continue to face a challenge in integrating this technology with their existing security systems. These challenges include the need to have a huge biometric data lake for accurate decisioning and the need to provide a secured environment for storing data. Organizations will continue to make advancements in AI and machine learning capabilities and adoption of behavioral profiling in multimodal biometrics will drive improvements in adaptive and predictive capabilities for behavioral biometrics technologies. These improvements would include predicting and rectifying user's mistake and correct allocation of resources based on historical patterns of user's interaction.

Table of Contents

Chapter 01: Research Summary

• 2023 Competition Outlook
• Top Research Findings and Key Takeaways

Chapter 02: Market Overview

• Market Definition and Scope
• Revenue Type
• Geographical Regions
• Industry Verticals

Chapter 03: Market Share Analysis

• Market Share by Total Market
• Market Share by Deployment Type
  • Cloud
  • On-Premises
• Market Share by Geographical Regions
  • Canada
  • Central & Eastern Europe
  • Japan
  • Latin America
  • Middle East & Africa
  • USA
  • Western Europe
  • Asia Ex-Japan China (AxJC)
  • China
• Market Share by Industry Verticals
  • Banking and Financial Services
  • Electronics & Telecom
  • Retail and eCommerce
  • Professional Services
  • Healthcare and Life Sciences
  • Manufacturing
  • Media & Entertainment
  • Government and Public Sectors
  • Education
  • Energy & Utility Others
  • Others
• Market Share by Customer Types
  • SMB
  • Large
  • Enterprise

Chapter 04: Analyst Recommendations

• Analyst Recommendations

Chapter 05: Appendix

• Research Methodologies