The AI Governance Market is estimated to be valued at US$ 131.9 million in 2023 and is expected to exhibit a CAGR of 46.60% over the forecast period 2023-2030, as highlighted in a new report published by Coherent Market Insights.
The AI Governance market deals with products and solutions that help oversee the development and application of AI technologies to ensure their safe, ethical, and aligned performance. This includes techniques for designing AI and machine learning models, monitoring AI decisions and outcomes, as well as addressing risks related to data bias, privacy issues, safety concerns, and more. The growing complexities involved in applying advanced AI at scale have boosted demand for tools and processes that can help govern and guide AI development according to organizational and societal priorities.
The growing instances of unintended and harmful outcomes from AI applications is driving increased investment in AI governance solutions by companies and institutions. As AI systems take over more critical decision making roles across various domains, the need to ensure accountability, responsibility and alignment is becoming imperative. Furthermore, stricter regulations around fair and transparent use of AI is forcing players to focus on model documentation, impact assessments and oversight, thereby fueling market growth. However, lack of common standards for governance and difficulty in accurately simulating human values pose challenges for widespread adoption.
The AI Governance Market Size can be segmented based on component, type, technology, organization size, deployment mode, vertical, and region. The services segment is expected to dominate the market during the forecast period as organizations are increasingly adopting AI Governance solutions and services to streamline their AI projects and manage risks. The services segment includes professional and managed services that help in deploying protocols, developing policies and standards, and assisting with ongoing maintenance and improvement processes.
Political: Governments across the globe are introducing new regulations around the deployment and use of AI systems to protect data privacy and promote fair decision making. This is driving greater demand for tools that help organizations ensure compliance.
Economic: Rapid economic growth is boosting technology spending. As AI adoption accelerates in industries, risks also increase which is fueling investment in AI governance solutions to maximize the benefits of new technologies while minimizing any harm.
Social: Issues around AI bias, lack of transparency, and other social impacts are leading to increased scrutiny of technology companies. This is creating pressure on organizations to establish strong governance practices to build public trust.
Technological: Advancements in AI, machine learning, and cloud computing are automating more business processes but also introducing new risks around operations, ethics, and safety. Strong governance is needed to manage emerging risks from new and evolving technologies.
The global AI governance market size is expected to witness high growth, exhibiting a CAGR of 46.60% over the forecast period of 2023-2030, due to increasing regulatory pressures around AI adoption. The market size was valued at US$ 131.9 million in 2023 and is projected to reach US$ 2,636.10 million by 2030.
North America dominated the market in 2023 with over 40% share owing to stringent data privacy laws and active government partnerships to develop AI governance best practices in sectors like healthcare and autonomous vehicles across the US and Canada. However, Asia Pacific is expected to be the fastest growing regional market exhibiting a CAGR of over 49% during the forecast period due to rapidly increasing technology investments from China, India and other developing Asian countries.
Key players operating in the AI governance market are Facebook, Inc. (Meta Platforms Inc), IBM Corporation, Integrate.ai Inc., Google LLC (Alphabet Inc.), H2O.ai, Inc., SAP SE, SAS Institute Inc., Microsoft Corporation, Pymetrics Inc., FICO Inc., and Salesforce.com, Inc. Major players are focusing on partnerships, collaborations, and mergers & acquisitions to expand their presence and offerings across various sectors like finance, healthcare, transportation etc. For instance, in 2021, IBM acquired Envizi to strengthen its AI governance and compliance capabilities for industrial applications.