인과 AI 시장 : 규모, 점유율, 동향 분석, 전개별, 기술별, 최종 용도별, 지역별, 부문 예측(2025-2033년)

Causal AI Market Summary

The global causal AI market size was estimated at USD 40.55 billion in 2024 and is projected to reach USD 757.74 billion by 2033, growing at a CAGR of 39.4% from 2025 to 2033. Causal AI is experiencing significant growth as organizations increasingly demand more explainable, reliable, and decision-centric artificial intelligence systems.

Unlike traditional AI models that focus on correlations, Causal AI identifies cause-and-effect relationships, enabling deeper insights, better decision-making, and improved policy interventions. The paradigm shift is gaining momentum across sectors such as healthcare, finance, supply chain, and public policy, where understanding the impact of specific actions is critical. In healthcare, Causal AI supports precision medicine by determining the actual impact of treatments on patient outcomes. At the same time, in finance, it enhances risk modeling and regulatory compliance by identifying drivers behind market movements or credit risks. The growing emphasis on ethical AI, accountability, and compliance, especially under evolving regulatory frameworks like the EU AI Act, is also accelerating the demand for Causal AI due to its transparency and interpretability. Furthermore, integration with generative AI and large language models (LLMs) is creating new synergies, where causality improves the reasoning, planning, and simulation capabilities of generative agents.

Technological advancements, including the availability of causal inference libraries, open-source tools, and low-code/no-code platforms, are reducing the entry barrier for enterprises. Consequently, both startups and established tech companies are investing in causal AI platforms to set their solutions apart and provide powerful AI applications. The market remains in a nascent yet rapidly evolving phase, with early adopters experiencing measurable ROI through enhanced operational efficiency and improved decision accuracy. Overall, the growth of Causal AI is influenced by increasing complexity in data environments and a fundamental shift toward more intelligent, explainable systems.

Moreover, the rising need for explainable and trustworthy AI, growing regulatory pressures for transparency, and increasing demand for data-driven decision-making. Businesses seek more than just predictive outputs, as they want to understand the "why" behind outcomes. Additionally, advancements in machine learning algorithms, access to richer datasets, and integration with generative AI and LLMs are accelerating adoption across sectors like healthcare, finance, logistics, and policy planning.

Global Causal AI Market Report Segmentation

This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global causal AI market report based on deployment, technology, end use, and region:

• Deployment Outlook (Revenue, USD Million, 2021 - 2033)
• Cloud
• On-premises
• Hybrid
• Technology Outlook (Revenue, USD Million, 2021 - 2033)
• Causal Inference Engines
• Structural Causal Models (SCM)
• Counterfactual Simulation Tools
• Graph-Based Causal Modeling
• Others
• End Use Outlook (Revenue, USD Million, 2021 - 2033)
• Healthcare & Life Sciences
• Financial Services
• Retail & E-commerce
• Manufacturing
• Government & Public Sector
• Technology & IT Services
• Others
• Regional Outlook (Revenue, USD Million, 2021 - 2033)
• North America
  • U.S.
  • Canada
  • Mexico
• Europe
  • UK
  • Germany
  • France
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
• Latin America
  • Brazil
• Middle East and Africa (MEA)
  • KSA
  • UAE
  • South Africa

Table of Contents

Chapter 1. Methodology and Scope

• 1.1. Market Segmentation and Scope
• 1.2. Market Definition
• 1.3. Research Methodology
  • 1.3.1. Information Procurement
  • 1.3.2. Information or Data Analysis
  • 1.3.3. Market Formulation & Data Visualization
  • 1.3.4. Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

• 2.1. Market Outlook
• 2.2. Segment Outlook
• 2.3. Competitive Insights

Chapter 3. Causal AI Market Variables, Trends, & Scope

• 3.1. Market Introduction/Lineage Outlook
• 3.2. Market Dynamics
  • 3.2.1. Market Driver Analysis
  • 3.2.2. Market Restraint Analysis
  • 3.2.3. Industry Challenge
• 3.3. Causal AI Market Analysis Tools
  • 3.3.1. Porter's Analysis
  • 3.3.2. PESTEL Analysis

Chapter 4. Causal AI Market: Deployment Estimates & Trend Analysis

• 4.1. Segment Dashboard
• 4.2. Causal AI market: Deployment Movement Analysis, 2024 & 2033 (USD Million)
• 4.3. Cloud
  • 4.3.1. Cloud Causal AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 4.4. On-premises
  • 4.4.1. On-premises Causal AI market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 4.5. Hybrid
  • 4.5.1. Hybrid Causal AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 4.6. On-premises
  • 4.6.1. On-premises Causal AI market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 5. Causal AI Market: Technology Estimates & Trend Analysis

• 5.1. Segment Dashboard
• 5.2. Causal AI market: Technology Movement Analysis, 2024 & 2033 (USD Million)
• 5.3. Causal Inference Engines
  • 5.3.1. Causal Inference Engines Causal AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 5.4. Structural Causal Models (SCM)
  • 5.4.1. Structural Causal Models (SCM) Causal AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 5.5. Counterfactual Simulation Tools
  • 5.5.1. Counterfactual Simulation Tools Causal AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 5.6. Graph-Based Causal Modeling
  • 5.6.1. Graph-Based Causal Modeling Causal AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 5.7. Others
  • 5.7.1. Others Causal AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 6. Causal AI Market: End Use Estimates & Trend Analysis

• 6.1. Segment Dashboard
• 6.2. Causal AI Market: End Use Movement Analysis, 2024 & 2033 (USD Million)
• 6.3. Healthcare & Life Sciences
  • 6.3.1. Healthcare & Life Sciences Causal AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 6.4. Financial Services
  • 6.4.1. Financial Services Causal AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 6.5. Retail & E-commerce
  • 6.5.1. Retail & E-commerce Causal AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 6.6. Manufacturing
  • 6.6.1. Manufacturing Causal AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 6.7. Government & Public Sector
  • 6.7.1. Government & Public Sector Causal AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 6.8. Technology & IT Services
  • 6.8.1. Technology & IT Services Causal AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 6.9. Others
  • 6.9.1. Others Causal AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 7. Causal AI Market: Regional Estimates & Trend Analysis

• 7.1. Causal AI Market Share, By Region, 2024 & 2033 (USD Million)
• 7.2. North America
  • 7.2.1. North America Causal AI Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.2.2. U.S.
    • 7.2.2.1. U.S. Causal AI Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.2.3. Canada
    • 7.2.3.1. Canada Causal AI Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.2.4. Mexico
    • 7.2.4.1. Mexico Causal AI Market Estimates and Forecasts, 2021 - 2033 (USD Million)
• 7.3. Europe
  • 7.3.1. Europe Causal AI Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.3.2. UK
    • 7.3.2.1. UK Causal AI Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.3.3. Germany
    • 7.3.3.1. Germany Causal AI Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.3.4. France
    • 7.3.4.1. France Causal AI Market Estimates and Forecasts, 2021 - 2033 (USD Million)
• 7.4. Asia Pacific
  • 7.4.1. Asia Pacific Causal AI Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.4.2. China
    • 7.4.2.1. China Causal AI Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.4.3. Japan
    • 7.4.3.1. Japan Causal AI Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.4.4. India
    • 7.4.4.1. India Causal AI Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.4.5. South Korea
    • 7.4.5.1. South Korea Causal AI Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.4.6. Australia
    • 7.4.6.1. Australia Causal AI Market Estimates and Forecasts, 2021 - 2033 (USD Million)
• 7.5. Latin America
  • 7.5.1. Latin America Causal AI Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.5.2. Brazil
    • 7.5.2.1. Brazil Causal AI Market Estimates and Forecasts, 2021 - 2033 (USD Million)
• 7.6. Middle East and Africa
  • 7.6.1. Middle East and Africa Causal AI Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.6.2. KSA
    • 7.6.2.1. KSA Causal AI Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.6.3. UAE
    • 7.6.3.1. UAE Causal AI Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.6.4. South Africa
    • 7.6.4.1. South Africa Causal AI Market Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 8. Competitive Landscape

• 8.1. Company Categorization
• 8.2. Company Market Positioning
• 8.3. Participant's Overview
• 8.4. Financial Performance
• 8.5. Product Benchmarking
• 8.6. Company Heat Map Analysis
• 8.7. Strategy Mapping
• 8.8. Company Profiles/Listing
  • 8.8.1. IBM
    • 8.8.1.1. Participant's Overview
    • 8.8.1.2. Financial Performance
    • 8.8.1.3. Product Benchmarking
    • 8.8.1.4. Recent Developments
  • 8.8.2. CausaLens
    • 8.8.2.1. Participant's Overview
    • 8.8.2.2. Financial Performance
    • 8.8.2.3. Product Benchmarking
    • 8.8.2.4. Recent Developments
  • 8.8.3. Microsoft
    • 8.8.3.1. Participant's Overview
    • 8.8.3.2. Financial Performance
    • 8.8.3.3. Product Benchmarking
    • 8.8.3.4. Recent Developments
  • 8.8.4. Dynatrace
    • 8.8.4.1. Participant's Overview
    • 8.8.4.2. Financial Performance
    • 8.8.4.3. Product Benchmarking
    • 8.8.4.4. Recent Developments
  • 8.8.5. Causality Link
    • 8.8.5.1. Participant's Overview
    • 8.8.5.2. Financial Performance
    • 8.8.5.3. Product Benchmarking
    • 8.8.5.4. Recent Developments
  • 8.8.6. Cognizant
    • 8.8.6.1. Participant's Overview
    • 8.8.6.2. Financial Performance
    • 8.8.6.3. Product Benchmarking
    • 8.8.6.4. Recent Developments
  • 8.8.7. Logility
    • 8.8.7.1. Participant's Overview
    • 8.8.7.2. Financial Performance
    • 8.8.7.3. Product Benchmarking
    • 8.8.7.4. Recent Developments
  • 8.8.8. DataRobot
    • 8.8.8.1. Participant's Overview
    • 8.8.8.2. Financial Performance
    • 8.8.8.3. Product Benchmarking
    • 8.8.8.4. Recent Developments
  • 8.8.9. Google
    • 8.8.9.1. Participant's Overview
    • 8.8.9.2. Financial Performance
    • 8.8.9.3. Product Benchmarking
    • 8.8.9.4. Recent Developments
  • 8.8.10. Aitia
    • 8.8.10.1. Participant's Overview
    • 8.8.10.2. Financial Performance
    • 8.8.10.3. Product Benchmarking
    • 8.8.10.4. Recent Developments
  • 8.8.11. Causaly
    • 8.8.11.1. Participant's Overview
    • 8.8.11.2. Financial Performance
    • 8.8.11.3. Product Benchmarking
    • 8.8.11.4. Recent Developments