Report

Global Causal AI Market Size Study, by Offering (Platform, Services), by Vertical (Healthcare & Lifesciences, BFSI, Retail & eCommerce, Transportation & Logistics, Manufacturing, Other Verticals), and Regional Forecasts 2022-2032

  • Publish Date: Sep,2024
  • Report ID: 03-02-1942
  • Page : 200
  • Report Type : PDF (Email)
Table of Contents
Chapter 1. Global Causal AI Market Executive Summary
1.1. Global Causal AI Market Size & Forecast (2022-2032)
1.2. Regional Summary
1.3. Segmental Summary
1.3.1. By Offering
1.3.2. By Vertical
1.4. Key Trends
1.5. Recession Impact
1.6. Analyst Recommendation & Conclusion
Chapter 2. Global Causal AI 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
2.3.3.5. Economic Viability (Consumer's Perspective)
2.3.4. Demand Side Analysis
2.3.4.1. Regulatory frameworks
2.3.4.2. Technological Advancements
2.3.4.3. Environmental Considerations
2.3.4.4. Consumer Awareness & Acceptance
2.4. Estimation Methodology
2.5. Years Considered for the Study
2.6. Currency Conversion Rates
Chapter 3. Global Causal AI Market Dynamics
3.1. Market Drivers
3.1.1. Importance of Causal Inference Models
3.1.2. Emergence of Causal AI
3.1.3. Operationalizing AI Initiatives
3.2. Market Challenges
3.2.1. Causal Inference from Complex Data Sets
3.3. Market Opportunities
3.3.1. Advancements in AI Technologies
3.3.2. Government Initiatives
3.3.3. Growing Investments
Chapter 4. Global Causal AI Market Industry Analysis
4.1. Porter's 5 Force 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
4.1.6. Futuristic Approach to Porter's 5 Force Model
4.1.7. Porter's 5 Force Impact Analysis
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 opportunity
4.4. Top winning strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion
Chapter 5. Global Causal AI Market Size & Forecasts by Offering 2022-2032
5.1. Segment Dashboard
5.2. Global Causal AI Market: Offering Revenue Trend Analysis, 2022 & 2032 (USD Million)
5.2.1. Platform
5.2.2. Services
Chapter 6. Global Causal AI Market Size & Forecasts by Vertical 2022-2032
6.1. Segment Dashboard
6.2. Global Causal AI Market: Vertical Revenue Trend Analysis, 2022 & 2032 (USD Million)
6.2.1. Healthcare & Lifesciences
6.2.2. BFSI
6.2.3. Retail & eCommerce
6.2.4. Transportation & Logistics
6.2.5. Manufacturing
6.2.6. Other Verticals
Chapter 7. Global Causal AI Market Size & Forecasts by Region 2022-2032
7.1. North America Causal AI Market
7.1.1. U.S. Causal AI Market
7.1.1.1. Offering breakdown size & forecasts, 2022-2032
7.1.1.2. Vertical breakdown size & forecasts, 2022-2032
7.1.2. Canada Causal AI Market
7.2. Europe Causal AI Market
7.2.1. U.K. Causal AI Market
7.2.2. Germany Causal AI Market
7.2.3. France Causal AI Market
7.2.4. Spain Causal AI Market
7.2.5. Italy Causal AI Market
7.2.6. Rest of Europe Causal AI Market
7.3. Asia-Pacific Causal AI Market
7.3.1. China Causal AI Market
7.3.2. India Causal AI Market
7.3.3. Japan Causal AI Market
7.3.4. Australia Causal AI Market
7.3.5. South Korea Causal AI Market
7.3.6. Rest of Asia Pacific Causal AI Market
7.4. Latin America Causal AI Market
7.4.1. Brazil Causal AI Market
7.4.2. Mexico Causal AI Market
7.4.3. Rest of Latin America Causal AI Market
7.5. Middle East & Africa Causal AI Market
7.5.1. Saudi Arabia Causal AI Market
7.5.2. South Africa Causal AI Market
7.5.3. Rest of Middle East & Africa Causal AI Market
Chapter 8. Competitive Intelligence
8.1. Key Company SWOT Analysis
8.2. Top Market Strategies
8.3. Company Profiles
8.3.1. IBM
8.3.1.1. Key Information
8.3.1.2. Overview
8.3.1.3. Financial (Subject to Data Availability)
8.3.1.4. Product Summary
8.3.1.5. Market Strategies
8.3.2. CausaLens
8.3.3. Microsoft
8.3.4. Causaly
8.3.5. Google
8.3.6. Geminos
8.3.7. AWS
8.3.8. Aitia
8.3.9. Xplain Data
8.3.10. INCRMNTAL
8.3.11. Logility
8.3.12. Cognino.ai
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes