AI Governance Market Introduction and Overview
According to SPER Market Research, the Global AI Governance Market is estimated to reach USD 4908.68 million by 2034 with a CAGR of 35.95%.
The growing use of AI in critical areas such as banking, healthcare, and transportation presents enormous revenue opportunities for governance solution providers. To deal with the complexities of today's AI systems, organizations are increasingly looking for strong and scalable AI governance platforms rather than outdated ad-hoc compliance methods. Rising regulations, such as the Algorithmic Accountability Act, are driving the growing demand in North America for comprehensive AI governance frameworks. Companies in industries such as finance and healthcare are implementing these frameworks to ensure compliance while also preserving ethical AI deployment and increasing stakeholder confidence.
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- November 2024: The French State made Atos a non-binding bid to buy its Advanced Computing activities for USD 523 million, with potential performance-based earn-outs of up to USD 653 million. The exclusivity period for the negotiation process runs until May 31, 2025, and the Share Purchase Agreement is expected to be completed by then, subject to regulatory approvals.
- February 2023: Atos has announced the debut of its 5Guard security service, a comprehensive security solution that ensures the protection of their assets and customers through integrated, automated, and orchestrated security.
By Component: The solution segment dominates the market. The solution segment dominated the market in 2024. The increasing deployment of artificial intelligence technology in enterprises throughout the world highlights the need for strong governance solutions to ensure ethical, responsible, and compliant AI operations. In addition, growing worries about risk mitigation due to biased decision-making are driving demand for AI governance solutions.
By Deployment Mode: The on-premises sub-segment is leading the market. The growing preference for on premise AI governance solutions in enterprises to keep complete control over data transfers is a major driver of the industry. With the increasing complexity of AI operations, there is a greater need to maintain security, particularly when dealing with sensitive or confidential information, which is driving demand for on-premises deployment for ease of management.
By Enterprise Size: Large enterprise dominated the market with a highest revenue share. The increasing adoption of complex AI settings with various AI models, data sources, and stakeholders in large enterprises is a fundamental factor driving segment growth. Furthermore, major organizations have a greater stake in protecting their brand name and public image, necessitating the use of AI governance solutions to effectively manage and oversee the complexities.
By Industry Vertical: The BFSI is a significant segment in the AI governance market. The BFSI industry is a key area in the AI governance market due to highly regulated rules and the growing requirement to manage sensitive financial data and consumer information. The integration of AI governance solutions helps to ensure compliance with requirements such as data protection, anti-money laundering (AML), and fraud prevention, which is driving the segment's growth.
By Region: North America leads the global AI Governance market with the largest share in 2024. The market is growing quickly due to strong regulations and high AI use across sectors. Businesses are implementing governance solutions to tackle ethical issues, data privacy, and transparency. Canada actively develops AI guidelines and works with industry leaders to support responsible AI use. Major tech companies and research institutions boost the need for strong governance frameworks.
Market Competitive Landscape:
The Global AI Governance Market is highly consolidated. Some of the market players are Atos SE, Dataiku, FICO Inc, Google LLC (Alphabet Inc), H2O.ai Inc, Informatica Inc, International Business Machines Corporation, NTT DATA Corporation (Nippon Telegraph and Telephone Corporation), SAP SE, SAS Institute Inc and others.
Scope of the Report:
Report Metric | Details |
Market size available for years | 2021-2034 |
Base year considered | 2024 |
Forecast period | 2025-2034 |
Segments covered | By Component, By Deployment Mode, By Enterprise Size, By Industry Vertical. |
Regions covered | North America, Latin America, Asia-Pacific, Europe, Middle East & Africa. |
Companies Covered | Atos SE, Dataiku, FICO Inc, Google LLC (Alphabet Inc), H2O.ai Inc, Informatica Inc, International Business Machines Corporation, NTT DATA Corporation (Nippon Telegraph and Telephone Corporation), SAP SE, SAS Institute Inc. and others. |
Key Topics Covered in the Report:
- Global AI Governance Market Size (FY’2021-FY’2034)
- Overview of Global AI Governance Market
- Segmentation of Global AI Governance Market By Component (Solutions, Services)
- Segmentation of Global AI Governance Market By Deployment Mode (On-Premises, Cloud-Based)
- Segmentation of Global AI Governance Market By Enterprise Size (Large Enterprises, Small and Medium – Sized Enterprises)
- Segmentation of Global AI Governance Market By Industry Vertical (BFSI, Government and Defense, Healthcare and Life Sciences, Media and Entertainment, Retail, IT and Telecom, Automotive)
- Statistical Snap of Global AI Governance Market
- Expansion Analysis of Global AI Governance Market
- Problems and Obstacles in Global AI Governance Market
- Competitive Landscape in the Global AI Governance Market
- Details on Current Investment in Global AI Governance Market
- Competitive Analysis of Global AI Governance Market
- Prominent Players in the Global AI Governance Market
- SWOT Analysis of Global AI Governance Market
- Global AI Governance Market Future Outlook and Projections (FY’2025-FY’2034)
- Recommendations from Analyst
1. Introduction
1.1. Scope of the report
1.2. Market segment analysis
2. Research Methodology
2.1. Research data source
2.1.1. Secondary Data
2.1.2. Primary Data
2.1.3. SPERs internal database
2.1.4. Premium insight from KOLs
2.2. Market size estimation
2.2.1. Top-down and Bottom-up approach
2.3. Data triangulation
3. Executive Summary
4. Market Dynamics
4.1. Driver, Restraint, Opportunity and Challenges analysis
4.1.1. Drivers
4.1.2. Restraints
4.1.3. Opportunities
4.1.4. Challenges
5. Market variable and outlook
5.1. SWOT Analysis
5.1.1. Strengths
5.1.2. Weaknesses
5.1.3. Opportunities
5.1.4. Threats
5.2. PESTEL Analysis
5.2.1. Political Landscape
5.2.2. Economic Landscape
5.2.3. Social Landscape
5.2.4. Technological Landscape
5.2.5. Environmental Landscape
5.2.6. Legal Landscape
5.3. PORTERs Five Forces
5.3.1. Bargaining power of suppliers
5.3.2. Bargaining power of buyers
5.3.3. Threat of Substitute
5.3.4. Threat of new entrant
5.3.5. Competitive rivalry
5.4. Heat Map Analysis
6. Competitive Landscape
6.1. Global AI Governance Market Manufacturing Base Distribution, Sales Area, Product Type
6.2. Mergers & Acquisitions, Partnerships, Product Launch, and Collaboration in Global AI Governance Market
7. Global AI Governance Market, By Component (USD Million) 2021-2034
7.1. Solution
7.2. Services
8. Global AI Governance Market, By Deployment Mode (USD Million) 2021-2034
8.1. On-Premises
8.2. Cloud Based
9. Global AI Governance Market, By Enterprise Size (USD Million) 2021-2034
9.1. Large Enterprises
9.2. Small and Medium-sized Enterprises (SMEs)
10. Global AI Governance Market, By Industry Vertical (USD Million) 2021-2034
10.1. BFSI
10.2. Government and Defense
10.3. Healthcare and Life Sciences
10.4. Media and Entertainment
10.5. Retail
10.6. IT and Telecom
10.7. Automotive
11. Global AI Governance Market, (USD Million) 2021-2034
11.1. Global AI Governance Market Size and Market Share
12. Global AI Governance Market, By Region, (USD Million) 2021-2034
12.1. Asia-Pacific
12.1.1. Australia
12.1.2. China
12.1.3. India
12.1.4. Japan
12.1.5. South Korea
12.1.6. Rest of Asia-Pacific
12.2. Europe
12.2.1. France
12.2.2. Germany
12.2.3. Italy
12.2.4. Spain
12.2.5. United Kingdom
12.2.6. Rest of Europe
12.3. Middle East and Africa
12.3.1. Kingdom of Saudi Arabia
12.3.2. United Arab Emirates
12.3.3. Qatar
12.3.4. South Africa
12.3.5. Egypt
12.3.6. Morocco
12.3.7. Nigeria
12.3.8. Rest of Middle-East and Africa
12.4. North America
12.4.1. Canada
12.4.2. Mexico
12.4.3. United States
12.5. Latin America
12.5.1. Argentina
12.5.2. Brazil
12.5.3. Rest of Latin America
13. Company Profile
13.1. Atos SE
13.1.1. Company details
13.1.2. Financial outlook
13.1.3. Product summary
13.1.4. Recent developments
13.2. Dataiku
13.2.1. Company details
13.2.2. Financial outlook
13.2.3. Product summary
13.2.4. Recent developments
13.3. FICO Inc
13.3.1. Company details
13.3.2. Financial outlook
13.3.3. Product summary
13.3.4. Recent developments
13.4. Google LLC (Alphabet Inc)
13.4.1. Company details
13.4.2. Financial outlook
13.4.3. Product summary
13.4.4. Recent developments
13.5. H2O.ai Inc
13.5.1. Company details
13.5.2. Financial outlook
13.5.3. Product summary
13.5.4. Recent developments
13.6. Informatica Inc
13.6.1. Company details
13.6.2. Financial outlook
13.6.3. Product summary
13.6.4. Recent developments
13.7. International Business Machines Corporation
13.7.1. Company details
13.7.2. Financial outlook
13.7.3. Product summary
13.7.4. Recent developments
13.8. NTT DATA Corporation (Nippon Telegraph and Telephone Corporation)
13.8.1. Company details
13.8.2. Financial outlook
13.8.3. Product summary
13.8.4. Recent developments
13.9. SAP SE
13.9.1. Company details
13.9.2. Financial outlook
13.9.3. Product summary
13.9.4. Recent developments
13.10. SAS Institute Inc
13.10.1. Company details
13.10.2. Financial outlook
13.10.3. Product summary
13.10.4. Recent developments
13.11. Others
14. Conclusion
15. List of Abbreviations
16. Reference Links
SPER Market Research’s methodology uses great emphasis on primary research to ensure that the market intelligence insights are up to date, reliable and accurate. Primary interviews are done with players involved in each phase of a supply chain to analyze the market forecasting. The secondary research method is used to help you fully understand how the future markets and the spending patterns look likes.
The report is based on in-depth qualitative and quantitative analysis of the Product Market. The quantitative analysis involves the application of various projection and sampling techniques. The qualitative analysis involves primary interviews, surveys, and vendor briefings. The data gathered as a result of these processes are validated through experts opinion. Our research methodology entails an ideal mixture of primary and secondary initiatives.
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