Global AI Governance Market Size Study, by Component (Solution, Services), Deployment (On-Premises, Cloud), Organization Size, Vertical (BFSI, Government & Defense, Healthcare and Life Sciences, Others), and Regional Forecasts 2022-2032
The Global AI Governance Market was valued at approximately USD 612.94 million in 2023 and is poised to experience an extraordinary CAGR of 45.3% during the forecast period of 2024-2032, culminating in an estimated market size of USD 17693.29 million by 2032. This growth is attributed to the increasing necessity of governing artificial intelligence responsibly, fueled by ethical, legal, and regulatory challenges arising from AI's widespread integration across sectors like BFSI, healthcare, government, and defense.
AI governance frameworks are becoming critical to address concerns related to bias, transparency, accountability, and privacy in AI applications. Companies are proactively adopting AI audit tools, explainability frameworks, and compliance monitoring systems to ensure their AI models align with international standards. This growing emphasis on AI ethics has led to a surge in investments from both established firms and innovative startups.
The solution segment currently dominates the market due to its comprehensive offerings, which tackle key governance issues. Meanwhile, the cloud deployment segment is gaining traction, particularly among SMEs, for its scalability and cost-effectiveness. Geographically, North America leads the market, driven by strong regulatory frameworks and rapid AI adoption. However, Asia Pacific is expected to exhibit the highest growth rate during the forecast period due to increasing AI investments and government initiatives.
Major Market Players Included in This Report
1. IBM Corporation
2. Microsoft Corporation
3. SAP SE
4. Oracle Inc.
5. ABB Ltd
6. Infosys Ltd
7. DXC Technology Company
8. Siemens SA
9. NTT Data
10. Tata Consultancy Services Ltd (TCS)
11. TIBCO Software Inc.
12. Amazon Web Services (AWS)
13. NVIDIA Corporation
14. Hewlett Packard Enterprise
15. Alibaba Cloud
The Detailed Segments and Sub-Segments of the Market Are Explained Below
By Component
• Solution
• Services
By Deployment
• On-Premises
• Cloud
By Organization Size
• Large Enterprises
• SMEs
By Vertical
• BFSI
• Government and Defense
• Healthcare and Life Sciences
• Media and Entertainment
• Retail
• IT and Telecommunication
• Automotive
• Others
By Region
North America
• U.S.
• Canada
• Mexico
Europe
• UK
• Germany
• France
• Rest of Europe
Asia Pacific
• China
• Japan
• India
• Australia
• South Korea
• Rest of Asia Pacific
Latin America
• Brazil
• Mexico
• Rest of Latin America
Middle East & Africa (MEA)
• UAE
• Saudi Arabia
• South Africa
• Rest of MEA
Years Considered for the Study Are as Follows:
• Historical Year – 2022
• Base Year – 2023
• Forecast Period – 2024 to 2032
Key Takeaways
• Market estimates and forecasts for 10 years (2022-2032).
• Annualized revenues and regional-level analysis for each market segment.
• Detailed geographical analysis with country-level breakdowns.
• Competitive landscape including market share analysis for major players.
• Strategic insights and recommendations for market participants.
• Comprehensive demand and supply-side analysis.
Please note:The single user license is non-downloadable and non-printable. Global Site license allows these actions.
- Chapter 1. Global AI Governance Market Executive Summary
- 1.1. Global AI Governance Market Size & Forecast (2022-2032)
- 1.2. Regional Summary
- 1.3. Segmental Summary
- 1.3.1. By Component
- 1.3.2. By Deployment
- 1.3.3. By Organization Size
- 1.3.4. By Vertical
- 1.4. Key Trends
- 1.5. Recession Impact Analysis
- 1.6. Analyst Recommendations & Conclusion
- Chapter 2. Global AI Governance Market Definition and Research Assumptions
- 2.1. Research Objective
- 2.2. Market Definition
- 2.3. Research Assumptions
- 2.3.1. Inclusion & Exclusion
- 2.3.2. Limitations
- 2.3.3. Supply Side Analysis
- 2.3.3.1. Availability
- 2.3.3.2. Infrastructure
- 2.3.3.3. Regulatory Environment
- 2.3.3.4. Market Competition
- 2.3.4. Demand Side Analysis
- 2.3.4.1. Technological Advancements
- 2.3.4.2. Consumer Awareness & Acceptance
- 2.4. Estimation Methodology
- 2.5. Years Considered for the Study
- 2.6. Currency Conversion Rates
- Chapter 3. Global AI Governance Market Dynamics
- 3.1. Market Drivers
- 3.1.1. Rising Awareness of AI Governance Challenges
- 3.1.2. Increasing AI Adoption Across Verticals
- 3.1.3. Government Regulations Promoting Ethical AI
- 3.2. Market Challenges
- 3.2.1. High Implementation Costs
- 3.2.2. Lack of Standardization
- 3.3. Market Opportunities
- 3.3.1. Development of Explainable AI Models
- 3.3.2. Integration of AI Governance with Emerging Technologies
- 3.3.3. Expanding Use Cases in SMEs
- Chapter 4. Global AI Governance Market Industry Analysis
- 4.1. Porter’s Five Forces Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.2. PESTEL Analysis
- 4.2.1. Political
- 4.2.2. Economical
- 4.2.3. Social
- 4.2.4. Technological
- 4.2.5. Environmental
- 4.2.6. Legal
- 4.3. Top Investment Opportunities
- 4.4. Top Winning Strategies
- 4.5. Industry Expert Perspective
- 4.6. Analyst Recommendations & Conclusion
- Chapter 5. Global AI Governance Market Size & Forecast by Component (2022-2032)
- 5.1. Segment Dashboard
- 5.2. Global AI Governance Market: Component Revenue Trend Analysis (2022 & 2032)
- 5.2.1. Solution
- 5.2.2. Services
- Chapter 6. Global AI Governance Market Size & Forecast by Deployment (2022-2032)
- 6.1. Segment Dashboard
- 6.2. Global AI Governance Market: Deployment Revenue Trend Analysis (2022 & 2032)
- 6.2.1. On-Premises
- 6.2.2. Cloud
- Chapter 7. Global AI Governance Market Size & Forecast by Organization Size (2022-2032)
- 7.1. Segment Dashboard
- 7.2. Global AI Governance Market: Organization Size Revenue Trend Analysis (2022 & 2032)
- 7.2.1. Large Enterprises
- 7.2.2. SMEs
- Chapter 8. Global AI Governance Market Size & Forecast by Vertical (2022-2032)
- 8.1. Segment Dashboard
- 8.2. Global AI Governance Market: Vertical Revenue Trend Analysis (2022 & 2032)
- 8.2.1. BFSI
- 8.2.2. Government and Defense
- 8.2.3. Healthcare and Life Sciences
- 8.2.4. Media and Entertainment
- 8.2.5. Retail
- 8.2.6. IT and Telecommunication
- 8.2.7. Automotive
- 8.2.8. Others
- Chapter 9. Global AI Governance Market Size & Forecast by Region (2022-2032)
- 9.1. North America AI Governance Market
- 9.1.1. U.S. AI Governance Market
- 9.1.2. Canada AI Governance Market
- 9.1.3. Mexico AI Governance Market
- 9.2. Europe AI Governance Market
- 9.2.1. UK AI Governance Market
- 9.2.2. Germany AI Governance Market
- 9.2.3. France AI Governance Market
- 9.3. Asia Pacific AI Governance Market
- 9.3.1. China AI Governance Market
- 9.3.2. Japan AI Governance Market
- 9.3.3. India AI Governance Market
- 9.3.4. Australia AI Governance Market
- 9.3.5. South Korea AI Governance Market
- 9.4. Latin America AI Governance Market
- 9.4.1. Brazil AI Governance Market
- 9.4.2. Mexico AI Governance Market
- 9.5. Middle East & Africa AI Governance Market
- 9.5.1. UAE AI Governance Market
- 9.5.2. Saudi Arabia AI Governance Market
- 9.5.3. South Africa AI Governance Market
- Chapter 10. Competitive Intelligence
- 10.1. Key Company SWOT Analysis
- 10.1.1. IBM Corporation
- 10.1.2. Microsoft Corporation
- 10.1.3. SAP SE
- 10.2. Top Market Strategies
- 10.3. Company Profiles
- 10.3.1. ABB Ltd
- 10.3.2. DXC Technology Company
- 10.3.3. Infosys Ltd
- 10.3.4. Oracle Inc.
- 10.3.5. Tata Consultancy Services Ltd
- 10.3.6. Siemens SA
- Chapter 11. Research Process
- 11.1. Research Process
- 11.1.1. Data Mining
- 11.1.2. Analysis
- 11.1.3. Market Estimation
- 11.1.4. Validation
- 11.1.5. Publishing
- 11.2. Research Attributes
Research Assistance
Download our eBook: How to Succeed Using Market Research
Learn how to effectively navigate the market research process to help guide your organization on the journey to success.
Download eBook