
AI Governance Market Size- By Component, By Deployment Mode, By Enterprise Size, By Industry Vertical - Regional Outlook, Competitive Strategies and Segment Forecast to 2034
Description
AI Governance Market Introduction and Overview
According to SPER market research, ‘AI Governance Market Size- By Component, By Deployment Mode, By Enterprise Size, By Industry Vertical – Regional Outlook, Competitive Strategies and Segment Forecast to 2034’ state that the Global AI Governance Market is predicted to reach 4908.68 million by 2034 with a CAGR of 35.95%.
AI governance is a set of policies, concepts, and practices aimed to assure the ethical, transparent, and responsible development, deployment, and usage of artificial intelligence technologies. It includes a wide range of factors, such as data privacy, algorithmic fairness, accountability, and adherence to legal and regulatory norms. Effective AI governance attempts to reduce risks such as bias, discrimination, and exploitation of AI while also increasing trust and societal benefits.
Restraints: A significant obstacle is the lack of defined standards and globally acknowledged frameworks, which make it difficult for firms to develop consistent governance processes. The rapid rate of AI progress frequently exceeds regulators’ ability to formulate complete policies, resulting in gaps in supervision. Furthermore, mitigating prejudice and guaranteeing fairness in AI systems remain difficult challenges due to the opaque nature of some machine learning algorithms, also known as “black box” models.
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.
AI Governance Market Segmentation:
By Component: Based on the Component, Global AI Governance Market is segmented as; Solutions, Services.
By Deployment Mode: Based on the Deployment Mode, Global AI Governance Market is segmented as; On-Premises, Cloud-Based.
By Enterprise Size: Based on the Enterprise Size, Global AI Governance Market is segmented as; Large Enterprises, Small and Medium – Sized Enterprises (SMEs).
By Industry Vertical: Based on the Industry Vertical, Global AI Governance Market is segmented as; BFSI, Government and Defense, Healthcare and Life Sciences, Media and Entertainment, Retail, IT and Telecom, Automotive.
By Region: This research also includes data for North America, Latin America, Asia-Pacific, Europe, Middle East & Africa.
According to SPER market research, ‘AI Governance Market Size- By Component, By Deployment Mode, By Enterprise Size, By Industry Vertical – Regional Outlook, Competitive Strategies and Segment Forecast to 2034’ state that the Global AI Governance Market is predicted to reach 4908.68 million by 2034 with a CAGR of 35.95%.
AI governance is a set of policies, concepts, and practices aimed to assure the ethical, transparent, and responsible development, deployment, and usage of artificial intelligence technologies. It includes a wide range of factors, such as data privacy, algorithmic fairness, accountability, and adherence to legal and regulatory norms. Effective AI governance attempts to reduce risks such as bias, discrimination, and exploitation of AI while also increasing trust and societal benefits.
Restraints: A significant obstacle is the lack of defined standards and globally acknowledged frameworks, which make it difficult for firms to develop consistent governance processes. The rapid rate of AI progress frequently exceeds regulators’ ability to formulate complete policies, resulting in gaps in supervision. Furthermore, mitigating prejudice and guaranteeing fairness in AI systems remain difficult challenges due to the opaque nature of some machine learning algorithms, also known as “black box” models.
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.
AI Governance Market Segmentation:
By Component: Based on the Component, Global AI Governance Market is segmented as; Solutions, Services.
By Deployment Mode: Based on the Deployment Mode, Global AI Governance Market is segmented as; On-Premises, Cloud-Based.
By Enterprise Size: Based on the Enterprise Size, Global AI Governance Market is segmented as; Large Enterprises, Small and Medium – Sized Enterprises (SMEs).
By Industry Vertical: Based on the Industry Vertical, Global AI Governance Market is segmented as; BFSI, Government and Defense, Healthcare and Life Sciences, Media and Entertainment, Retail, IT and Telecom, Automotive.
By Region: This research also includes data for North America, Latin America, Asia-Pacific, Europe, Middle East & Africa.
Table of Contents
239 Pages
- 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. H2 O.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
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