AI Governance Market size was estimated at US$ 0.16 Billion in 2022 it is predicted to grow at a CAGR of 35.65% from 2023 to 2032 to reach around US$ 3.38 Billion by the end of 2032.
The AI Governance Market report offers an exclusive study of the present state expected at the market dynamics, opportunities, market scheme, growth analysis and regional outlook. The report presents energetic visions to conclude and study the market size, market aspiration, and competitive environment. The research also focuses on the important achievements of the market, research & development, and regional (country by country) growth of the leading vendors operating in the market
The study offers intricate dynamics about different aspects of the global AI Governance Market, which aids companies operating in the market in making strategies development decisions. The study also elaborates on remarkable changes that are highly anticipated to configure growth of the global AI Governance Market during the forecast period. It also includes a key indicator analysis that highlights growth prospects of this market and approximate statistics related to growth of the market in terms of value (US$ Bn) and volume (tons).
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Report Scope of the AI Governance Market
| Report Coverage | Details |
| Revenue Share of North America in 2022 | 32% |
| Revenue Forecast by 2032 | USD 3.38 billion |
| Growth Rate from 2023 to 2032 | CAGR of 35.65% |
| Base Year | 2022 |
| Forecast Period | 2023 to 2032 |
| Market Analysis (Terms Used) | Value (US$ Million/Billion) or (Volume/Units) |
| Companies Covered | ABB, DXC Technology Company, Infosys, Microsoft, NTT Data, Oracle, SAP SE, Siemens, Tata Communication Services (TCS), TIBCO |
This study covers an elaborate segmentation of the global AI Governance Market, along with important information and a competition outlook. The report mentions company profiles of players that are currently influence the global AI Governance Market, wherein various developments, expansions, and winning strategies practiced and execute by leading players have been presented in detail.
Key Players
ABB, DXC Technology Company, Infosys, Microsoft, NTT Data, Oracle, SAP SE, Siemens, Tata Communication Services (TCS), TIBCO
Market Segmentation
By Component
- Solution
- Services
By Deployment Type
- On-Premises
- Cloud
By Organization Size
- Large Enterprise
- SMEs
By Vertical
- BFSI
- Government and Defense
- Healthcare and life sciences
- Media and Entertainment
- Retail
- IT and Telecommunication
- Automotive
- Others (Education, Travel and Tourism, Manufacturing and Etc)
By Regional
- North America
- U.S.
- Canada
- Europe
- Germany
- U.K.
- France
- Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Latin America
- Mexico
- Brazil
- Middle East and Africa
- Kingdom of Saudi Arabia (KSA)
- UAE
- South Africa
Research Methodology
The research methodology acquire by analysts for assemble the global AI Governance Market report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.
During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.
For secondary research, analysts study numerous annual report declaration, white papers, market association declaration, and company websites to obtain the necessary understanding of the global AI Governance Market.
TABLE OF CONTENT
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on AI Governance Market
5.1. COVID-19 Landscape: AI Governance Industry Impact
5.2. COVID 19 – Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global AI Governance Market, By Component
8.1. AI Governance Market, by Component, 2023-2032
8.1.1. Solution
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Services
8.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global AI Governance Market, By Deployment
9.1. AI Governance Market, by Deployment, 2023-2032
9.1.1. On-Premises
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Cloud
9.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global AI Governance Market, By Organization Size
10.1. AI Governance Market, by Organization Size, 2023-2032
10.1.1. Large Enterprise
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. SMEs
10.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global AI Governance Market, By Vertical
11.1. AI Governance Market, by Vertical, 2023-2032
11.1.1. BFSI
11.1.1.1. Market Revenue and Forecast (2020-2032)
11.1.2. Government and Defense
11.1.2.1. Market Revenue and Forecast (2020-2032)
11.1.3. Healthcare and life sciences
11.1.3.1. Market Revenue and Forecast (2020-2032)
11.1.4. Media and Entertainment
11.1.4.1. Market Revenue and Forecast (2020-2032)
11.1.5. Retail
11.1.5.1. Market Revenue and Forecast (2020-2032)
11.1.6. IT and Telecommunication
11.1.6.1. Market Revenue and Forecast (2020-2032)
11.1.7. Automotive
11.1.7.1. Market Revenue and Forecast (2020-2032)
11.1.8. Others (Education, Travel and Tourism, Manufacturing and Etc)
11.1.8.1. Market Revenue and Forecast (2020-2032)
Chapter 12. Global AI Governance Market, Regional Estimates and Trend Forecast
12.1. North America
12.1.1. Market Revenue and Forecast, by Component (2020-2032)
12.1.2. Market Revenue and Forecast, by Deployment (2020-2032)
12.1.3. Market Revenue and Forecast, by Organization Size (2020-2032)
12.1.4. Market Revenue and Forecast, by Vertical (2020-2032)
12.1.5. U.S.
12.1.5.1. Market Revenue and Forecast, by Component (2020-2032)
12.1.5.2. Market Revenue and Forecast, by Deployment (2020-2032)
12.1.5.3. Market Revenue and Forecast, by Organization Size (2020-2032)
12.1.5.4. Market Revenue and Forecast, by Vertical (2020-2032)
12.1.6. Rest of North America
12.1.6.1. Market Revenue and Forecast, by Component (2020-2032)
12.1.6.2. Market Revenue and Forecast, by Deployment (2020-2032)
12.1.6.3. Market Revenue and Forecast, by Organization Size (2020-2032)
12.1.6.4. Market Revenue and Forecast, by Vertical (2020-2032)
12.2. Europe
12.2.1. Market Revenue and Forecast, by Component (2020-2032)
12.2.2. Market Revenue and Forecast, by Deployment (2020-2032)
12.2.3. Market Revenue and Forecast, by Organization Size (2020-2032)
12.2.4. Market Revenue and Forecast, by Vertical (2020-2032)
12.2.5. UK
12.2.5.1. Market Revenue and Forecast, by Component (2020-2032)
12.2.5.2. Market Revenue and Forecast, by Deployment (2020-2032)
12.2.5.3. Market Revenue and Forecast, by Organization Size (2020-2032)
12.2.5.4. Market Revenue and Forecast, by Vertical (2020-2032)
12.2.6. Germany
12.2.6.1. Market Revenue and Forecast, by Component (2020-2032)
12.2.6.2. Market Revenue and Forecast, by Deployment (2020-2032)
12.2.6.3. Market Revenue and Forecast, by Organization Size (2020-2032)
12.2.6.4. Market Revenue and Forecast, by Vertical (2020-2032)
12.2.7. France
12.2.7.1. Market Revenue and Forecast, by Component (2020-2032)
12.2.7.2. Market Revenue and Forecast, by Deployment (2020-2032)
12.2.7.3. Market Revenue and Forecast, by Organization Size (2020-2032)
12.2.7.4. Market Revenue and Forecast, by Vertical (2020-2032)
12.2.8. Rest of Europe
12.2.8.1. Market Revenue and Forecast, by Component (2020-2032)
12.2.8.2. Market Revenue and Forecast, by Deployment (2020-2032)
12.2.8.3. Market Revenue and Forecast, by Organization Size (2020-2032)
12.2.8.4. Market Revenue and Forecast, by Vertical (2020-2032)
12.3. APAC
12.3.1. Market Revenue and Forecast, by Component (2020-2032)
12.3.2. Market Revenue and Forecast, by Deployment (2020-2032)
12.3.3. Market Revenue and Forecast, by Organization Size (2020-2032)
12.3.4. Market Revenue and Forecast, by Vertical (2020-2032)
12.3.5. India
12.3.5.1. Market Revenue and Forecast, by Component (2020-2032)
12.3.5.2. Market Revenue and Forecast, by Deployment (2020-2032)
12.3.5.3. Market Revenue and Forecast, by Organization Size (2020-2032)
12.3.5.4. Market Revenue and Forecast, by Vertical (2020-2032)
12.3.6. China
12.3.6.1. Market Revenue and Forecast, by Component (2020-2032)
12.3.6.2. Market Revenue and Forecast, by Deployment (2020-2032)
12.3.6.3. Market Revenue and Forecast, by Organization Size (2020-2032)
12.3.6.4. Market Revenue and Forecast, by Vertical (2020-2032)
12.3.7. Japan
12.3.7.1. Market Revenue and Forecast, by Component (2020-2032)
12.3.7.2. Market Revenue and Forecast, by Deployment (2020-2032)
12.3.7.3. Market Revenue and Forecast, by Organization Size (2020-2032)
12.3.7.4. Market Revenue and Forecast, by Vertical (2020-2032)
12.3.8. Rest of APAC
12.3.8.1. Market Revenue and Forecast, by Component (2020-2032)
12.3.8.2. Market Revenue and Forecast, by Deployment (2020-2032)
12.3.8.3. Market Revenue and Forecast, by Organization Size (2020-2032)
12.3.8.4. Market Revenue and Forecast, by Vertical (2020-2032)
12.4. MEA
12.4.1. Market Revenue and Forecast, by Component (2020-2032)
12.4.2. Market Revenue and Forecast, by Deployment (2020-2032)
12.4.3. Market Revenue and Forecast, by Organization Size (2020-2032)
12.4.4. Market Revenue and Forecast, by Vertical (2020-2032)
12.4.5. GCC
12.4.5.1. Market Revenue and Forecast, by Component (2020-2032)
12.4.5.2. Market Revenue and Forecast, by Deployment (2020-2032)
12.4.5.3. Market Revenue and Forecast, by Organization Size (2020-2032)
12.4.5.4. Market Revenue and Forecast, by Vertical (2020-2032)
12.4.6. North Africa
12.4.6.1. Market Revenue and Forecast, by Component (2020-2032)
12.4.6.2. Market Revenue and Forecast, by Deployment (2020-2032)
12.4.6.3. Market Revenue and Forecast, by Organization Size (2020-2032)
12.4.6.4. Market Revenue and Forecast, by Vertical (2020-2032)
12.4.7. South Africa
12.4.7.1. Market Revenue and Forecast, by Component (2020-2032)
12.4.7.2. Market Revenue and Forecast, by Deployment (2020-2032)
12.4.7.3. Market Revenue and Forecast, by Organization Size (2020-2032)
12.4.7.4. Market Revenue and Forecast, by Vertical (2020-2032)
12.4.8. Rest of MEA
12.4.8.1. Market Revenue and Forecast, by Component (2020-2032)
12.4.8.2. Market Revenue and Forecast, by Deployment (2020-2032)
12.4.8.3. Market Revenue and Forecast, by Organization Size (2020-2032)
12.4.8.4. Market Revenue and Forecast, by Vertical (2020-2032)
12.5. Latin America
12.5.1. Market Revenue and Forecast, by Component (2020-2032)
12.5.2. Market Revenue and Forecast, by Deployment (2020-2032)
12.5.3. Market Revenue and Forecast, by Organization Size (2020-2032)
12.5.4. Market Revenue and Forecast, by Vertical (2020-2032)
12.5.5. Brazil
12.5.5.1. Market Revenue and Forecast, by Component (2020-2032)
12.5.5.2. Market Revenue and Forecast, by Deployment (2020-2032)
12.5.5.3. Market Revenue and Forecast, by Organization Size (2020-2032)
12.5.5.4. Market Revenue and Forecast, by Vertical (2020-2032)
12.5.6. Rest of LATAM
12.5.6.1. Market Revenue and Forecast, by Component (2020-2032)
12.5.6.2. Market Revenue and Forecast, by Deployment (2020-2032)
12.5.6.3. Market Revenue and Forecast, by Organization Size (2020-2032)
12.5.6.4. Market Revenue and Forecast, by Vertical (2020-2032)
Chapter 13. Company Profiles
13.1. ABB
13.1.1. Company Overview
13.1.2. Product Offerings
13.1.3. Financial Performance
13.1.4. Recent Initiatives
13.2. DXC Technology Company
13.2.1. Company Overview
13.2.2. Product Offerings
13.2.3. Financial Performance
13.2.4. Recent Initiatives
13.3. Infosys
13.3.1. Company Overview
13.3.2. Product Offerings
13.3.3. Financial Performance
13.3.4. Recent Initiatives
13.4. Microsoft
13.4.1. Company Overview
13.4.2. Product Offerings
13.4.3. Financial Performance
13.4.4. Recent Initiatives
13.5. NTT Data
13.5.1. Company Overview
13.5.2. Product Offerings
13.5.3. Financial Performance
13.5.4. Recent Initiatives
13.6. Oracle
13.6.1. Company Overview
13.6.2. Product Offerings
13.6.3. Financial Performance
13.6.4. Recent Initiatives
13.7. SAP SE
13.7.1. Company Overview
13.7.2. Product Offerings
13.7.3. Financial Performance
13.7.4. Recent Initiatives
13.8. Siemens
13.8.1. Company Overview
13.8.2. Product Offerings
13.8.3. Financial Performance
13.8.4. Recent Initiatives
13.9. Tata Communication Services (TCS)
13.9.1. Company Overview
13.9.2. Product Offerings
13.9.3. Financial Performance
13.9.4. Recent Initiatives
13.10. TIBCO
13.10.1. Company Overview
13.10.2. Product Offerings
13.10.3. Financial Performance
13.10.4. Recent Initiatives
Chapter 14. Research Methodology
14.1. Primary Research
14.2. Secondary Research
14.3. Assumptions
Chapter 15. Appendix
15.1. About Us
15.2. Glossary of Terms
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