The market for AI vulnerability scanning is expected to grow to $7.57 billion USD by 2030.

The AI Vulnerability Scanning market is poised for substantial growth, driven by increasing cybersecurity needs, regulatory compliance, and the adoption of advanced AI and ML methods. Market segmentation by type includes on-premises and cloud-based solutions, while applications span SMEs and large enterprises. Key growth drivers include the rising complexity of cyber threats and AI-specific vulnerabilities, necessitating advanced scanning solutions to detect and mitigate security flaws. Key market trends highlight the shift towards scalable, cloud-based security solutions that offer real-time monitoring and integration with existing frameworks, as well as the importance of adhering to strict data protection regulations like GDPR and HIPAA. North America dominates the market due to its strong focus on cybersecurity, technological advancements, and stringent regulatory requirements. Expert commentary from Norman Poh emphasizes the critical need for advanced liveness detection technologies to combat injection attacks and deep fakes. As organizations prioritize robust security measures, the demand for AI-powered vulnerability scanning solutions will continue to rise, ensuring protection against evolving cyber threats.