封面
市场调查报告书
商品编码
1772425

美国因果人工智慧市场规模、份额和趋势分析报告:按部署、技术、最终用途、国家和细分市场进行预测,2025 年至 2033 年

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

出版日期: | 出版商: Grand View Research | 英文 150 Pages | 商品交期: 2-10个工作天内

价格

美国因果人工智慧市场规模与趋势

预计 2024 年美国因果人工智慧市场规模将达到 109.7 亿美元,2025 年至 2033 年的复合年增长率将达到 39.2%。

美国在因果人工智慧领域正呈现强劲发展势头,这得益于其深厚的学术研究、强大的企业应用以及以创新为中心的生态系统的独特融合。微软、IBM 和亚马逊等领先的美国科技公司正在将因果人工智慧模型整合到其平台中,以提高决策准确性,尤其是在金融、医疗保健和供应炼等领域。

史丹佛大学、麻省理工学院 (MIT) 和卡内基美隆大学等研究机构正在完善因果推理框架,并在培养国家人才队伍方面发挥重要作用。政府机构和联邦智库也正在探索因果推理工具在政策测试、经济预测和公共卫生成果中的应用。此外,美国对负责任的人工智慧和可解释性日益增长的兴趣,正促使企业从不透明的黑箱模型转向透明、可解释的因果关係系统。

随着越来越多的企业寻求超越相关性的更深入洞察和可操作情报,因果人工智慧在美国正日益受到关注。越来越多的公司利用它来改善医疗、金融和零售等领域的诊断、风险缓解和个人化决策。学术机构在因果推理方面不断取得突破,而科技巨头则将这些模型整合到他们的云端和分析平台中。道德人工智慧计画与因果关係模型之间的一致性也日益增强,因为它们的透明度支持更公平、更易于解释的结果。美国的新兴企业正在推动反事实分析和因果关係发现的创新,加强美国在将人工智慧从预测工具转变为推理引擎方面的领导地位。

目录

第一章调查方法与范围

第二章执行摘要

第三章美国因果人工智慧市场变数、趋势与范围

  • 市场介绍/系统展望
  • 市场动态
    • 市场驱动因素分析
    • 市场限制因素分析
    • 产业挑战
  • 美国因果人工智慧市场分析工具
    • 波特分析
    • PESTEL分析

第四章美国因果人工智慧市场:部署、估算与趋势分析

  • 细分仪表板
  • 美国因果人工智慧市场:部署趋势分析(百万美元,2024 年和 2033 年)
  • 本地
  • 杂交种
  • 本地

第五章美国因果人工智慧市场:按技术、估算和趋势分析

  • 细分仪表板
  • 美国因果人工智慧市场:技术变革分析,百万美元,2024 年对比 2033 年
  • 因果推理引擎
  • 结构因果模型(SCM)
  • 反事实模拟工具
  • 基于图的因果建模
  • 其他的

第六章:美国因果人工智慧市场(按最终用途、估算和趋势分析)

  • 细分仪表板
  • 美国因果人工智慧市场:最终用途变化分析,百万美元,2024 年对比 2033 年
  • 医疗保健和生命科学
  • 金融服务
  • 零售与电子商务
  • 製造业
  • 政府和公共部门
  • 技术和IT服务
  • 其他的

第七章 竞争态势

  • 公司分类
  • 公司市场定位
  • 参与企业概况
  • 公司热图分析
  • 战略地图
  • 公司简介/上市公司
    • IBM
    • CausaLens
    • Microsoft
    • Dynatrace
    • Causality Link
    • Cognizant
    • Logility
    • DataRobot
    • Google
    • Aitia
Product Code: GVR-4-68040-623-6

U.S. Causal AI Market Size & Trends:

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

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. 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

List of Tables

  • Table 1 U.S. Causal AI - Industry Snapshot & Key Buying Criteria, 2021 - 2033
  • Table 2 U.S. Causal AI Market, 2021 - 2033 (USD Million)
  • Table 3 U.S. Causal AI Market Estimates and Forecast by Type, 2021 - 2033 (USD Million)
  • Table 4 U.S. Causal AI Market Estimates and Forecast by Technology, 2021 - 2033 (USD Million)
  • Table 5 U.S. Causal AI Market Estimates and Forecast by End Use, 2021 - 2033 (USD Million)

List of Figures

  • Fig. 1 U.S. Causal AI Market segmentation
  • Fig. 2 Market research process
  • Fig. 3 Information procurement
  • Fig. 4 Primary research pattern
  • Fig. 5 Market research approaches
  • Fig. 6 Market formulation & validation
  • Fig. 7 U.S. Causal AI Market snapshot
  • Fig. 8 U.S. Causal AI Market segment snapshot
  • Fig. 9 U.S. Causal AI Market competitive landscape snapshot
  • Fig. 10 Market driver impact analysis
  • Fig. 11 Market restraint impact analysis
  • Fig. 12 U.S. Causal AI Market: Deployment outlook key takeaways (USD million)
  • Fig. 13 U.S. Causal AI Market: Deployment movement analysis 2024 & 2033 (USD million)
  • Fig. 14 Cloud market revenue estimates and forecasts, 2021 - 2033 (USD million)
  • Fig. 15 On-premises market revenue estimates and forecasts, 2021 - 2033 (USD million)
  • Fig. 16 Hybrid market revenue estimates and forecasts, 2021 - 2033 (USD million)
  • Fig. 17 U.S. Causal AI Market: Technology outlook key takeaways (USD million)
  • Fig. 18 U.S. Causal AI Market: Technology movement analysis 2024 & 2033 (USD million)
  • Fig. 19 Causal Inference Engines market revenue estimates and forecasts, 2021 - 2033 (USD million)
  • Fig. 20 Counterfactual Simulation Tools market revenue estimates and forecasts, 2021 - 2033 (USD million)
  • Fig. 21 Graph-Based Causal Modeling market revenue estimates and forecasts, 2021 - 2033 (USD million)
  • Fig. 22 Others market revenue estimates and forecasts, 2021 - 2033 (USD million)
  • Fig. 23 U.S. Causal AI Market: End Use outlook key takeaways (USD million)
  • Fig. 24 U.S. Causal AI Market: End Use movement analysis 2024 & 2033 (USD million)
  • Fig. 25 Healthcare & Life Sciences market revenue estimates and forecasts, 2021 - 2033 (USD million)
  • Fig. 26 Financial Services market revenue estimates and forecasts, 2021 - 2033 (USD million)
  • Fig. 27 Retail & E-commerce market revenue estimates and forecasts, 2021 - 2033 (USD million)
  • Fig. 28 Manufacturing market revenue estimates and forecasts, 2021 - 2033 (USD million)
  • Fig. 29 Government & Public Sector market revenue estimates and forecasts, 2021 - 2033 (USD million)
  • Fig. 30 Technology & IT Services market revenue estimates and forecasts, 2021 - 2033 (USD million)
  • Fig. 31 Others market revenue estimates and forecasts, 2021 - 2033 (USD million)
  • Fig. 32 Company Categorization
  • Fig. 33 Company Market Positioning
  • Fig. 34 Strategy framework