Global Causal AI Market Size, Trends, By Component (Solution, and Services), By Deployment Platforms (Cloud, and On-premises), By Vertical (Healthcare & Life Sciences, BFSI, Retail & eCommerce, Transportation & Logistics, Manufacturing), By Region (North America, Latin America, Europe, Asia Pacific, and Middle East & Africa): Growth Opportunity Analysis and Industry Forecast, 2023-2030.
Global Causal AI Market
The Global Causal AI Market was valued at USD 5.75 billion in 2022 and is expected to expand to USD 140.5 billion by 2030, at a CAGR of 40.90% during the forecast period 2023-2030.
Causal AI is a type of artificial intelligence system that explains cause and effect. Causal AI technology is used by various organizations to help explain the decision-making process and the causes of a decision. As traditional techniques identify the extent to which many events are related, causal AI identifies the root cause of events by knowing and understanding the effects of any variables that can have led to it, providing a much deeper explanation of their true relationship.
Causal AI is a powerful tool that combines the power of AI with the principles of causal reasoning to help organizations make better decisions and improve outcomes.
Market Drivers
The increase in usage, algorithmic improvements, industry-particular applications, integration with AI systems, ethical issues, changing stringent regulations, and multidisciplinary research are factors that are driving the growth of the causal AI Market. Also, this technology is the future of decision-making, combining AI & causal reasoning to create a more transparent and safer approach to AI.
Further, causal AI will be essential in allowing data-driven decision-making and opening new opportunities across various industries as organizations continue to recognize the significance of understanding causal linkages.
Market Restraints
The high implementation cost of artificial intelligence (AI) solutions shall hamper the global causal AI market growth.
Impact of COVID-19
The COVID-19 pandemic was expected to provide some lucrative opportunities for the growth of the global artificial intelligence industry. This was due to an increase in the digital transformation trends in various business organizations, and rising demand for automation solutions in various SMEs and large enterprises during the period. Now, companies are more likely to concentrate on solutions that assist in improving efficiency and increasing overall production during the post-pandemic period.
Market Segmentation
The global causal AI market is segmented into components (solutions, and services), deployment platforms (cloud, and on-premises), and verticals (healthcare & life sciences, BFSI, retail & e-commerce, transportation & logistics, manufacturing).
Regional Analysis
The global causal AI market is segmented into five regions such as North America, Latin America, Europe, Asia Pacific, and Middle East & Africa.
The North American region is expected to dominate the global causal AI market. Causal AI has been gaining popularity in the North American region, with both the U.S. and Canada making significant investments in AI research & development. The US government launched several initiatives to promote the development of AI, such as the American AI Initiative, which aims to maintain the country's leadership in AI research & development. The private sectors in the region have been investing heavily in AI development, with companies such as Amazon, Google, and Microsoft developing AI technologies for a wide range of applications.
Key Players
Various key players are discussed in the global causal AI market report including; IBM, CausaLens, Microsoft, Causaly, Google, Geminos, AWS, Aitia, INCRMNTAL, Logility, Cognino.ai., Omics Data Automation, and Others.
Market Taxonomy
By Component
- Solution
- Services
- Cloud
- On-premises
- Healthcare & Life Sciences
- BFSI
- Retail & eCommerce
- Transportation & Logistics
- Manufacturing
- Others
- North America
- U.S.
- Canada
- Mexico
- Latin America
- Brazil
- Argentina
- Colombia
- Peru
- Chile
- Venezuela
- Rest of Latin America
- Europe
- Germany
- France
- UK
- Russia
- Italy
- Spain
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- New Zealand
- Singapore
- Malaysia
- Rest of Asia Pacific
- Middle East & Africa
- Saudi Arabia
- UAE
- Egypt
- Kuwait
- South Africa
- Tanzania
- Rest of The Middle East & Africa
· What are the Key Opportunities in the Global Causal AI Market?
· What will be the growth rate from 2023 to 2030?
· Which segment/region will have the highest growth?
· What are the factors that will impact/drive the Market?
· What is the role of key players in the value chain?
- 1 Introduction
- 1.1 Objective of the Study
- 1.2 Market Definition
- 1.3 Market Scope
- 2 Research Methodology
- 2.1 Data Mining
- 2.2 Validation
- 2.3 Primary Interviews
- 2.4 List of Data Sources
- 3 Executive Summary
- 4 Global Causal AI Market Outlook
- 4.1 Overview
- 4.2 Market Dynamics
- 4.2.1 Drivers
- 4.2.2 Restraints
- 4.2.3 Opportunities
- 4.2.4 Cumulative Impact Due To Recent Energy Crisis
- 4.2.5 Cumulative Impact Due To Nearing Economic Downturn
- 4.2.6 Post-Covid-19 World Supply and Demand Conditions
- 4.2.7 Cumulative Impact of Russia-Ukraine Conflict
- 4.3 Porters Five Force Model
- 4.4 Value Chain Analysis
- 5 Global Causal AI Market, By Component
- 5.1 Y-o-Y Growth Comparison, By Component
- 5.2 Global Causal AI Market Share Analysis, By Component
- 5.3 Global Causal AI Market Size and Forecast, By Component
- 5.3.1 Solution
- 5.3.2 Services
- 6 Global Causal AI Market, By Deployment Platforms
- 6.1 Y-o-Y Growth Comparison, By Deployment Platforms
- 6.2 Global Causal AI Market Share Analysis, By Deployment Platforms
- 6.3 Global Causal AI Market Size and Forecast, By Deployment Platforms
- 6.3.1 Cloud
- 6.3.2 On-Premises
- 7 Global Causal AI Market, By Vertical
- 7.1 Y-o-Y Growth Comparison, By Vertical
- 7.2 Global Causal AI Market Share Analysis, By Vertical
- 7.3 Global Causal AI Market Size and Forecast, By Vertical
- 7.3.1 Healthcare & Life Sciences
- 7.3.2 BFSI
- 7.3.3 Retail & eCommerce
- 7.3.4 Transportation & Logistics
- 7.3.5 Manufacturing
- 7.3.6 Others
- 8 Global Causal AI Market, By Region
- 8.1 Global Causal AI Market Share Analysis, By Region
- 8.2 Global Causal AI Market Share Analysis, By Region
- 8.3 Global Causal AI Market Size and Forecast, By Region
- 9 North America Causal AI Market Analysis and Forecast (2023-2030)
- 9.1 Introduction
- 9.2 North America Causal AI Market Share Analysis, By Component
- 9.3 North America Causal AI Market Share Analysis, By Deployment Platforms
- 9.4 North America Causal AI Market Share Analysis, By Vertical
- 9.5 North America Causal AI Market Size and Forecast, By Country
- 9.5.1 U.S
- 9.5.1.1 Market Size and Forecast, By Component
- 9.5.1.2 Market Size and Forecast, By Deployment Platforms
- 9.5.1.3 Market Size and Forecast, By Vertical
- 9.5.2 Canada
- 9.5.2.1 Market Size and Forecast, By Component
- 9.5.2.2 Market Size and Forecast, By Deployment Platforms
- 9.5.2.3 Market Size and Forecast, By Vertical
- 9.5.3 Mexico
- 9.5.3.1 Market Size and Forecast, By Component
- 9.5.3.2 Market Size and Forecast, By Deployment Platforms
- 9.5.3.3 Market Size and Forecast, By Vertical
- 10 Europe Causal AI Market Analysis and Forecast (2023-2030)
- 10.1 Introduction
- 10.2 Europe Causal AI Market Share Analysis, By Component
- 10.3 Europe Causal AI Market Size and Forecast, By Deployment Platforms
- 10.4 Europe Causal AI Market Size and Forecast, By Vertical
- 10.5 Europe Causal AI Market Size and Forecast, By Country
- 10.5.1 Germany
- 10.5.1.1 Market Size and Forecast, By Component
- 10.5.1.2 Market Size and Forecast, By Deployment Platforms
- 10.5.1.3 Market Size and Forecast, By Vertical
- 10.5.2 France
- 10.5.2.1 Market Size and Forecast, By Component
- 10.5.2.2 Market Size and Forecast, By Deployment Platforms
- 10.5.2.3 Market Size and Forecast, By Vertical
- 10.5.3 UK
- 10.5.3.1 Market Size and Forecast, By Component
- 10.5.3.2 Market Size and Forecast, By Deployment Platforms
- 10.5.3.3 Market Size and Forecast, By Vertical
- 10.5.4 Russia
- 10.5.4.1 Market Size and Forecast, By Component
- 10.5.4.2 Market Size and Forecast, By Deployment Platforms
- 10.5.4.3 Market Size and Forecast, By Vertical
- 10.5.5 Italy
- 10.5.5.1 Market Size and Forecast, By Component
- 10.5.5.2 Market Size and Forecast, By Deployment Platforms
- 10.5.5.3 Market Size and Forecast, By Vertical
- 10.5.6 Spain
- 10.5.6.1 Market Size and Forecast, By Component
- 10.5.6.2 Market Size and Forecast, By Deployment Platforms
- 10.5.6.3 Market Size and Forecast, By Vertical
- 10.5.7 Rest of Europe
- 10.5.7.1 Market Size and Forecast, By Component
- 10.5.7.2 Market Size and Forecast, By Deployment Platforms
- 10.5.7.3 Market Size and Forecast, By Vertical
- 11 Asia Pacific Causal AI Market Analysis and Forecast (2023-2030)
- 11.1 Introduction
- 11.2 Asia Pacific Causal AI Market Share Analysis, By Component
- 11.3 Asia Pacific Causal AI Market Size and Forecast, By Deployment Platforms
- 11.4 Asia Pacific Causal AI Market Size and Forecast, By Vertical
- 11.5 Asia Pacific Causal AI Market Size and Forecast, By Country
- 11.5.1 China
- 11.5.1.1 Market Size and Forecast, By Component
- 11.5.1.2 Market Size and Forecast, By Deployment Platforms
- 11.5.1.3 Market Size and Forecast, By Vertical
- 11.5.2 Japan
- 11.5.2.1 Market Size and Forecast, By Component
- 11.5.2.2 Market Size and Forecast, By Deployment Platforms
- 11.5.2.3 Market Size and Forecast, By Vertical
- 11.5.3 India
- 11.5.3.1 Market Size and Forecast, By Component
- 11.5.3.2 Market Size and Forecast, By Deployment Platforms
- 11.5.3.3 Market Size and Forecast, By Vertical
- 11.5.4 South Korea
- 11.5.4.1 Market Size and Forecast, By Component
- 11.5.4.2 Market Size and Forecast, By Deployment Platforms
- 11.5.4.3 Market Size and Forecast, By Vertical
- 11.5.5 Australia
- 11.5.5.1 Market Size and Forecast, By Component
- 11.5.5.2 Market Size and Forecast, By Deployment Platforms
- 11.5.5.3 Market Size and Forecast, By Vertical
- 11.5.6 New Zealand
- 11.5.6.1 Market Size and Forecast, By Component
- 11.5.6.2 Market Size and Forecast, By Deployment Platforms
- 11.5.6.3 Market Size and Forecast, By Vertical
- 11.5.7 Singapore
- 11.5.7.1 Market Size and Forecast, By Component
- 11.5.7.2 Market Size and Forecast, By Deployment Platforms
- 11.5.7.3 Market Size and Forecast, By Vertical
- 11.5.8 Malaysia
- 11.5.8.1 Market Size and Forecast, By Component
- 11.5.8.2 Market Size and Forecast, By Deployment Platforms
- 11.5.8.3 Market Size and Forecast, By Vertical
- 11.5.9. Rest of Asia Pacific
- 11.5.9.1 Market Size and Forecast, By Component
- 11.5.9.2 Market Size and Forecast, By Deployment Platforms
- 11.5.9.3 Market Size and Forecast, By Vertical
- 12 Latin America Causal AI Market Analysis and Forecast (2023-2030)
- 12.1 Introduction
- 12.2 Latin America Causal AI Market Share Analysis, By Component
- 12.3 Latin America Causal AI Market Share Analysis, By Deployment Platforms
- 12.4 Latin America Causal AI Market Share Analysis, By Vertical
- 12.5 Latin America Causal AI Market Size and Forecast, By Country
- 12.5.1. Brazil
- 12.5.1.1 Market Size and Forecast, By Component
- 12.5.1.2 Market Size and Forecast, By Deployment Platforms
- 12.5.1.3 Market Size and Forecast, By Vertical
- 12.5.2 Argentina
- 12.5.2.1 Market Size and Forecast, By Component
- 12.5.2.2 Market Size and Forecast, By Deployment Platforms
- 12.5.2.3 Market Size and Forecast, By Vertical
- 12.5.3 Colombia
- 12.5.3.1 Market Size and Forecast, By Component
- 12.5.3.2 Market Size and Forecast, By Deployment Platforms
- 12.5.3.3 Market Size and Forecast, By Vertical
- 12.5.4 Peru
- 12.5.4.1 Market Size and Forecast, By Component
- 12.5.4.2 Market Size and Forecast, By Deployment Platforms
- 12.5.4.3 Market Size and Forecast, By Vertical
- 12.5.5 Chile
- 12.5.5.1 Market Size and Forecast, By Component
- 12.5.5.2 Market Size and Forecast, By Deployment Platforms
- 12.5.5.3 Market Size and Forecast, By Vertical
- 12.5.6 Venezuela
- 12.5.6.1 Market Size and Forecast, By Component
- 12.5.6.2 Market Size and Forecast, By Deployment Platforms
- 12.5.6.3 Market Size and Forecast, By Vertical
- 12.5.7 Rest of Latin America
- 12.5.7.1 Market Size and Forecast, By Component
- 12.5.7.2 Market Size and Forecast, By Deployment Platforms
- 12.5.7.3 Market Size and Forecast, By Vertical
- 13 Middle East Causal AI Market Analysis and Forecast (2023-2030)
- 13.1 Introduction
- 13.2 Middle East Causal AI Market Share Analysis, By Component
- 13.3 Middle East Causal AI Market Size and Forecast, By Deployment Platforms
- 13.4 Middle East Causal AI Market Size and Forecast, By Vertical
- 13.5 Middle East Causal AI Market Size and Forecast, By Country
- 13.5.1 Saudi Arabia
- 13.5.1.1 Market Size and Forecast, By Component
- 13.5.1.2 Market Size and Forecast, By Deployment Platforms
- 13.5.1.3 Market Size and Forecast, By Vertical
- 13.5.2 UAE
- 13.5.2.1 Market Size and Forecast, By Component
- 13.5.2.2 Market Size and Forecast, By Deployment Platforms
- 13.5.2.3 Market Size and Forecast, By Vertical
- 13.5.3 Egypt
- 13.5.3.1 Market Size and Forecast, By Component
- 13.5.3.2 Market Size and Forecast, By Deployment Platforms
- 13.5.3.3 Market Size and Forecast, By Vertical
- 13.5.4 Kuwait
- 13.5.4.1 Market Size and Forecast, By Component
- 13.5.4.2 Market Size and Forecast, By Deployment Platforms
- 13.5.4.3 Market Size and Forecast, By Vertical
- 13.5.5 South Africa
- 13.5.5.1 Market Size and Forecast, By Component
- 13.5.5.2 Market Size and Forecast, By Deployment Platforms
- 13.5.5.3 Market Size and Forecast, By Vertical
- 13.5.6 Tanzania
- 13.5.6.1 Market Size and Forecast, By Component
- 13.5.6.2 Market Size and Forecast, By Deployment Platforms
- 13.5.6.3 Market Size and Forecast, By Vertical
- 13.5.7 Rest of Middle East & Africa
- 13.5.7.1 Market Size and Forecast, By Component
- 13.5.7.2 Market Size and Forecast, By Deployment Platforms
- 13.5.7.3 Market Size and Forecast, By Vertical
- 14 Competitive Analysis
- 14.1 Competition Dashboard
- 14.2 Market Share Analysis of Top Vendors
- 14.3 Key Development Strategies
- 15 Company Profiles
- 15.1 IBM
- 15.1.1 Overview
- 15.1.2 Offerings
- 15.1.3 Key Financials
- 15.1.4 Business Segment & Geographic Overview
- 15.1.5 Key Market Developments
- 15.1.6 Key Strategies
- 15.2 CausaLens
- 15.2.1 Overview
- 15.2.2 Offerings
- 15.2.3 Key Financials
- 15.2.4 Business Segment & Geographic Overview
- 15.2.5 Key Market Developments
- 15.2.6 Key Strategies
- 15.3 Microsof
- 15.3.1 Overview
- 15.3.2 Offerings
- 15.3.3 Key Financials
- 15.3.4 Business Segment & Geographic Overview
- 15.3.5 Key Market Developments
- 15.3.6 Key Strategies
- 15.4 Causaly
- 15.4.1 Overview
- 15.4.2 Offerings
- 15.4.3 Key Financials
- 15.4.4 Business Segment & Geographic Overview
- 15.4.5 Key Market Developments
- 15.4.6 Key Strategies
- 15.5 Google
- 15.5.1 Overview
- 15.5.2 Offerings
- 15.5.3 Key Financials
- 15.5.4 Business Segment & Geographic Overview
- 15.5.5 Key Market Developments
- 15.5.6 Key Strategies
- 15.6 Geminos
- 15.6.1 Overview
- 15.6.2 Offerings
- 15.6.3 Key Financials
- 15.6.4 Business Segment & Geographic Overview
- 15.6.5 Key Market Developments
- 15.6.6 Key Strategies
- 15.7 AWS
- 15.7.1 Overview
- 15.7.2 Offerings
- 15.7.3 Key Financials
- 15.7.4 Business Segment & Geographic Overview
- 15.7.5 Key Market Developments
- 15.7.6 Key Strategies
- 15.8 Aitia
- 15.8.1 Overview
- 15.8.2 Offerings
- 15.8.3 Key Financials
- 15.8.4 Business Segment & Geographic Overview
- 15.8.5 Key Market Developments
- 15.8.6 Key Strategies
- 15.9 INCRMNTAL
- 15.9.1 Overview
- 15.9.2 Offerings
- 15.9.3 Key Financials
- 15.9.4 Business Segment & Geographic Overview
- 15.9.5 Key Market Developments
- 15.9.6 Key Strategies
- 15.10 Logility
- 15.10.1 Overview
- 15.10.2 Offerings
- 15.10.3 Key Financials
- 15.10.4 Business Segment & Geographic Overview
- 15.10.5 Key Market Developments
- 15.10.6 Key Strategies
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