In an era marked by rapid generative AI adoption, AI governance is emerging as an essential safeguard for enterprises striving to balance innovation with responsibility. As AI systems become more autonomous and complex, bias risks, obscurity, regulatory noncompliance, and ethical misuse grow substantially. AI governance provides a structured framework to mitigate these challenges by embedding explainability, accountability, privacy, fairness, and security into AI-driven decision-making. This report examines AI governance’s growing importance in the enterprise landscape, analyzing its evolution from data governance to formal regulatory frameworks. It highlights how AI governance solutions offered as integrated platforms help organizations ensure compliance, reduce risk, and foster trust in AI systems. The report also assesses 16 key providers in the AI governance space and explores the emerging trends, including regulatory convergence, AI governance as a service, and the rise of specialized AI oversight roles, shaping the future of responsible AI deployment. Scope All industries and geographies Contents In this report, we examine: AI governance Key evolving trends and imperatives shaping the industry Key business challenges in AI systems’ implementation AI governance as a solution to address business challenges AI governance evolution AI governance solutions’ core components Important considerations when selecting AI governance providers Key AI governance providers