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市場調查報告書
商品編碼
1772425

美國因果人工智慧市場規模、佔有率和趨勢分析報告：按部署、技術、最終用途、國家和細分市場進行預測，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個工作天內

價格

美國因果人工智慧市場規模與趨勢

預計 2024 年美國因果人工智慧市場規模將達到 109.7 億美元，2025 年至 2033 年的複合年成長率將達到 39.2%。

美國在因果人工智慧領域正呈現強勁發展勢頭，這得益於其深厚的學術研究、強大的企業應用以及以創新為中心的生態系統的獨特融合。微軟、IBM 和亞馬遜等領先的美國科技公司正在將因果人工智慧模型整合到其平台中，以提高決策準確性，尤其是在金融、醫療保健和供應鍊等領域。

史丹佛大學、麻省理工學院 (MIT) 和卡內基美隆大學等研究機構正在完善因果推理框架，並在培養國家人才隊伍方面發揮重要作用。政府機構和聯邦智庫也正在探索因果推理工具在政策測試、經濟預測和公共衛生成果中的應用。此外，美國對負責任的人工智慧和可解釋性日益成長的興趣，正促使企業從不透明的黑箱模型轉向透明、可解釋的因果關係系統。

隨著越來越多的企業尋求超越相關性的更深入洞察和可操作情報，因果人工智慧在美國正日益受到關注。越來越多的公司利用它來改善醫療、金融和零售等領域的診斷、風險緩解和個人化決策。學術機構在因果推理方面不斷取得突破，而科技巨頭則將這些模型整合到他們的雲端和分析平台中。道德人工智慧計畫與因果關係模型之間的一致性也日益增強，因為它們的透明度支持更公平、更易於解釋的結果。美國的新興企業正在推動反事實分析和因果關係發現的創新，加強美國在將人工智慧從預測工具轉變為推理引擎方面的領導地位。

目錄

第1章調查方法與範圍

第2章執行摘要

第3章美國因果人工智慧市場變數、趨勢與範圍

  • 市場介紹/系統展望
  • 市場動態
    • 市場促進因素分析
    • 市場限制因素分析
    • 產業挑戰
  • 美國因果人工智慧市場分析工具
    • 波特分析
    • PESTEL分析

第4章美國因果人工智慧市場：部署、估算與趨勢分析

  • 細分儀表板
  • 美國因果人工智慧市場：部署趨勢分析（百萬美元，2024 年和 2033 年）
  • 雲
  • 本地
  • 混合
  • 本地

第5章美國因果人工智慧市場：按技術、估算和趨勢分析

  • 細分儀表板
  • 美國因果人工智慧市場：技術變革分析，百萬美元，2024 年對比 2033 年
  • 因果推理引擎
  • 結構因果模型（SCM）
  • 反事實模擬工具
  • 基於圖的因果建模
  • 其他

第6章：美國因果人工智慧市場（按最終用途、估算和趨勢分析）

  • 細分儀表板
  • 美國因果人工智慧市場：最終用途變化分析，百萬美元，2024 年對比 2033 年
  • 醫療保健和生命科學
  • 金融服務
  • 零售與電子商務
  • 製造業
  • 政府和公共部門
  • 技術和IT服務
  • 其他

第7章 競爭態勢

  • 公司分類
  • 公司市場定位
  • 參與企業概況
  • 公司熱圖分析
  • 戰略地圖
  • 公司簡介/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