AI product management · Industry brief

The agentic AI governance and policy management market was valued at USD 11.5 billion in 2025 and is projected to reach USD 153.4 billion by 2033, growing at a CAGR of 38.3%. Enterprise adoption of autonomous AI agents is driving demand for governance solutions, with North America holding 38.2% market share in 2025. The software segment dominates with 71.7% revenue share, while policy management and compliance represents the largest governance function segment. Key industry developments include Palo Alto Networks launching Prisma AIRS 3.0 in March 2026 for comprehensive agentic AI lifecycle security, IBM enhancing watsonx.governance in October 2025 with agent monitoring and Guardium AI Security integration, and AWS introducing Amazon Bedrock AgentCore in July 2025 for secure AI agent deployment and management. Rising regulatory compliance requirements, AI security concerns, and the need for runtime monitoring and identity management are primary growth drivers, with BFSI holding the largest end-use segment at 24.7% due to stringent regulatory obligations.

The EU AI Act, which entered into force August 1, 2024, classifies AI systems into four risk tiers—unacceptable, high-risk, limited-risk, and minimal-risk—with high-risk systems (including medical devices and diagnostics) facing the most stringent requirements. For medical device manufacturers, high-risk AI systems must satisfy six core requirements: risk management and governance throughout the product lifecycle, data quality and governance, technical documentation, record keeping and logging, transparency and disclosure, human oversight, and accuracy/robustness/cybersecurity standards. Key compliance deadlines include February 2025 for unacceptable-risk prohibitions, August 2025 for general-purpose AI model provider obligations, August 2026 for high-risk systems in Annex III, and August 2028 for AI safety components of regulated products including medical devices under MDR and IVDR—with the latter representing a hard operational deadline for device organizations. Non-compliance carries significant penalties: up to 35 million euros or 7% of global annual turnover for prohibited AI practices, up to 15 million euros or 3% of turnover for other violations, and up to 7.5 million euros or 1.5% of turnover for providing incorrect information to authorities. The regulation applies to providers developing or placing AI systems on the EU market, deployers using AI systems professionally, importers, distributors, and authorized representatives, with overlapping obligations between the EU AI Act and existing Medical Device Regulation frameworks requiring manufacturers to integrate AI-specific risks into existing quality management systems and maintain end-to-end traceability and change control throughout the product lifecycle.

Artificial intelligence adoption is reshaping enterprise digital payments and E-Commerce, with a ResearchAndMarkets.com report showing that while 77% of employees globally used AI at work in 2025, only 25% of North American firms achieved full enterprise integration. The global AI in fintech market is forecast to expand from USD 18 billion in 2025 to nearly USD 55 billion by 2030, driven by automation, fraud prevention, and intelligent payment infrastructure. Enterprise deployment is increasingly focused on scalable infrastructure, automated workflows, cybersecurity, and organizational resilience, though governance frameworks and workforce capabilities remain inconsistent barriers to enterprise-wide transformation.