미국의 인과 AI 시장 - 규모, 점유율, 동향 분석 보고서 : 전개별, 기술별, 최종 용도별, 국가별, 부문별 예측(2025-2033년)

U.S. Causal AI Market Size, Share & Trends Analysis Report By Deployment (Cloud, On-premises, Hybrid), By Technology (Causal Inference Engines, Structural Causal Models (SCM)), By End Use, By Country, And Segment Forecasts, 2025 - 2033

발행일: 2025년 06월 | 리서치사:

Grand View Research | 페이지 정보: 영문 150 Pages | 배송안내 : 2-10일 (영업일 기준)

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미국의 인과 AI 시장 규모 및 동향

미국의 인과 AI 시장 규모는 2024년 109억 7,000만 달러로 추정되었으며, 2025-2033년까지 39.2%의 연평균 복합 성장률(CAGR)을 보일 것으로 예측되고 있습니다. Microsoft, IBM, Amazon 등 미국의 선도적인 하이테크 기업은 특히 금융, 헬스케어, 공급망 등의 부문에서 의사결정의 정확성을 높이기 위해 인과관계 AI 모델을 자사의 플랫폼에 통합하고 있습니다.

스탠포드 대학, 매사추세츠 공과 대학(MIT), 카네기 멜론 대학(Carnegie Mellon) 등의 연구기관은 인과 추론의 프레임워크를 세련시켜 이 나라의 인재 파이프라인을 육성하는데 있어서 큰 역할을 하고 있습니다. 또한, 미국에서는 책임있는 AI와 설명 가능성에 대한 관심이 높아지고 있어 기업은 불투명한 블랙 박스 모델로부터, 투명하고 해석 가능한 인과 관계 시스템에 이행하는 것을 뒷받침하고 있습니다.

미국에서는 상관관계뿐만 아니라 보다 깊은 통찰이나 실용적인 인텔리전스를 요구하는 기업이 늘어나고 있기 때문에 인과 AI가 주목을 받고 있습니다. 위험 완화, 개인화된 의사결정을 개선하기 위해 활용하는 기업이 늘어나고 있습니다. 투명성이 보다 공정하고 설명 가능한 결과를 지원하기 때문에 윤리적인 AI 이니셔티브와 인과 관계 모델 간의 연계도 진행되고 있습니다. 신흥기업은 반사실 분석과 인과관계의 발견에 있어서의 혁신을 추진하고 있으며, AI를 예측 툴에서 추론 엔진으로 이행시키는 데 있어 미국의 리더십을 강화하고 있습니다.

The U.S. Causal AI market size was estimated at USD 10.97 billion in 2024 and is projected to grow at a CAGR of 39.2% from 2025 to 2033. The United States is seeing robust momentum in the causal AI landscape, driven by a unique convergence of deep academic research, strong enterprise adoption, and innovation-centric ecosystems. Major U.S. tech firms such as Microsoft, IBM, and Amazon are integrating causal AI models into their platforms to enhance decision-making accuracy, especially in sectors such as finance, healthcare, and supply chain.

Research institutions such as Stanford, MIT, and Carnegie Mellon are playing a major role in refining causal inference frameworks and nurturing talent pipelines in this country. Government agencies and federal think tanks are also exploring causal reasoning tools for applications in policy testing, economic forecasting, and public health outcomes. Moreover, the growing interest in responsible AI and explainability in the U.S. is pushing companies to move away from opaque black-box models toward transparent, interpretable causal systems.

Causal AI in the U.S. is gaining traction as organizations seek deeper insights and actionable intelligence beyond correlations. Enterprises are increasingly leveraging it to improve diagnostics, risk mitigation, and personalized decision-making across sectors like healthcare, finance, and retail. Academic institutions are spearheading breakthroughs in causal reasoning, while tech giants integrate these models into cloud and analytics platforms. There is also a growing alignment between ethical AI initiatives and causal models, as their transparency supports fairer, explainable outcomes. U.S.-based startups are pushing innovation in counterfactual analysis and causal discovery, reinforcing the country's leadership in transitioning AI from predictive tools to reasoning engines.

U.S. Causal AI Market Report Segmentation

This report forecasts revenue growth in the U.S. 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 U.S. Causal AI market report based on deployment, technology, end use, and country:

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

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. U.S. 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. U.S. Causal AI market Analysis Tools
- 3.3.1. Porter's Analysis
- 3.3.2. PESTEL Analysis

Chapter 4. U.S. Causal AI market: Deployment Estimates & Trend Analysis

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

Chapter 5. U.S. Causal AI market: Technology Estimates & Trend Analysis

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

Chapter 6. U.S. Causal AI market: End Use Estimates & Trend Analysis

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

Chapter 7. Competitive Landscape

7.1. Company Categorization
7.2. Company Market Positioning
7.3. Participant's Overview
7.4. Financial Performance
7.5. Product Benchmarking
7.6. Company Heat Map Analysis
7.7. Strategy Mapping
7.8. Company Profiles/Listing
- 7.8.1. IBM
  - 7.8.1.1. Participant's Overview
  - 7.8.1.2. Financial Performance
  - 7.8.1.3. Product Benchmarking
  - 7.8.1.4. Recent Developments
- 7.8.2. CausaLens
  - 7.8.2.1. Participant's Overview
  - 7.8.2.2. Financial Performance
  - 7.8.2.3. Product Benchmarking
  - 7.8.2.4. Recent Developments
- 7.8.3. Microsoft
  - 7.8.3.1. Participant's Overview
  - 7.8.3.2. Financial Performance
  - 7.8.3.3. Product Benchmarking
  - 7.8.3.4. Recent Developments
- 7.8.4. Dynatrace
  - 7.8.4.1. Participant's Overview
  - 7.8.4.2. Financial Performance
  - 7.8.4.3. Product Benchmarking
  - 7.8.4.4. Recent Developments
- 7.8.5. Causality Link
  - 7.8.5.1. Participant's Overview
  - 7.8.5.2. Financial Performance
  - 7.8.5.3. Product Benchmarking
  - 7.8.5.4. Recent Developments
- 7.8.6. Cognizant
  - 7.8.6.1. Participant's Overview
  - 7.8.6.2. Financial Performance
  - 7.8.6.3. Product Benchmarking
  - 7.8.6.4. Recent Developments
- 7.8.7. Logility
  - 7.8.7.1. Participant's Overview
  - 7.8.7.2. Financial Performance
  - 7.8.7.3. Product Benchmarking
  - 7.8.7.4. Recent Developments
- 7.8.8. DataRobot
  - 7.8.8.1. Participant's Overview
  - 7.8.8.2. Financial Performance
  - 7.8.8.3. Product Benchmarking
  - 7.8.8.4. Recent Developments
- 7.8.9. Google
  - 7.8.9.1. Participant's Overview
  - 7.8.9.2. Financial Performance
  - 7.8.9.3. Product Benchmarking
  - 7.8.9.4. Recent Developments
- 7.8.10. Aitia
  - 7.8.10.1. Participant's Overview
  - 7.8.10.2. Financial Performance
  - 7.8.10.3. Product Benchmarking
  - 7.8.10.4. Recent Developments

미국의 인과 AI 시장 - 규모, 점유율, 동향 분석 보고서 : 전개별, 기술별, 최종 용도별, 국가별, 부문별 예측(2025-2033년)

U.S. Causal AI Market Size, Share & Trends Analysis Report By Deployment (Cloud, On-premises, Hybrid), By Technology (Causal Inference Engines, Structural Causal Models (SCM)), By End Use, By Country, And Segment Forecasts, 2025 - 2033

미국의 인과 AI 시장 규모 및 동향

목차

제1장 조사 방법과 범위

제2장 주요 요약

제3장 미국의 인과 AI 시장의 변수, 동향, 범위

제4장 미국의 인과 AI 시장 : 전개별, 추정 및 동향 분석

제5장 미국의 인과 AI 시장 : 기술별, 추정 및 동향 분석

제6장 미국의 인과 AI 시장 : 최종 용도별, 추정 및 동향 분석

제7장 경쟁 구도

U.S. Causal AI Market Size & Trends:

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