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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

Publisher QualiKet Research
Published Mar 02, 2025
Length 210 Pages
SKU # QUA19750680

Description

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
By Deployment Platforms
  • Cloud
  • On-premises
By Vertical
  • Healthcare & Life Sciences
  • BFSI
  • Retail & eCommerce
  • Transportation & Logistics
  • Manufacturing
  • Others
By Region
  • 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
Key Question Addressed by the Report

· 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?

Table of Contents

210 Pages
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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