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市場調查報告書
商品編碼
1967857

全球人工智慧（AI）診斷市場規模、佔有率、趨勢和成長分析報告（2026-2034）

Global Artificial Intelligence in Diagnostics Market Size, Share, Trends & Growth Analysis Report 2026-2034
出版日期: | 出版商: Value Market Research | 英文 119 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

預計到 2034 年，診斷人工智慧市場規模將從 2025 年的 26.4 億美元成長至 167.7 億美元，2026 年至 2034 年的複合年成長率為 22.8%。

機器學習和醫學影像技術的進步正推動全球診斷人工智慧市場快速擴張。人工智慧工具正被擴大用於分析放射影像、病理切片和患者數據，以實現疾病的早期檢測。對數位醫療基礎設施投資的增加以及人工智慧驅動的臨床支援系統日益普及，正在加速市場成長。

關鍵成長要素包括熟練醫療專業人員短缺、診斷工作量增加以及對提高準確性和效率的需求。人工智慧演算法能夠增強影像解讀能力、減少診斷錯誤並支援快速臨床決策。與電子健康記錄和雲端平台的整合將進一步加速醫院和診斷中心採用人工智慧技術。

展望未來，監管核准和報銷政策將在人工智慧技術的廣泛應用過程中發揮關鍵作用。演算法透明度、檢驗和互通性的持續改進將增強臨床醫生的信心。隨著醫療系統擁抱數據驅動型醫療，人工智慧在診斷領域的應用有望成為現代臨床工作流程的核心要素。

目錄

第1章：引言

第2章執行摘要

第3章 市場變數、趨勢與框架

  • 市場譜系展望
  • 滲透率和成長前景分析
  • 價值鏈分析
  • 法律規範
    • 標準與合規性
    • 監管影響分析
  • 市場動態
    • 市場促進因素
    • 市場限制因素
    • 市場機遇
    • 市場挑戰
  • 波特五力分析
  • PESTLE分析

第4章 全球人工智慧（AI）診斷市場：按組件分類

  • 市場分析、洞察與預測
  • 軟體
  • 硬體
  • 服務

第5章 全球人工智慧（AI）診斷市場：按診斷類型分類

  • 市場分析、洞察與預測
  • 心臟病學
  • 腫瘤學
  • 病理
  • 放射科
  • 胸部和肺部
  • 神經病學
  • 其他

第6章 全球人工智慧（AI）診斷市場：按地區分類

  • 區域分析
  • 北美市場分析、洞察與預測
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲市場分析、洞察與預測
    • 英國
    • 法國
    • 德國
    • 義大利
    • 俄羅斯
    • 其他歐洲國家
  • 亞太市場分析、洞察與預測
    • 印度
    • 日本
    • 韓國
    • 澳洲
    • 東南亞
    • 其他亞太國家
  • 拉丁美洲市場分析、洞察與預測
    • 巴西
    • 阿根廷
    • 秘魯
    • 智利
    • 其他拉丁美洲國家
  • 中東和非洲市場分析、洞察與預測
    • 沙烏地阿拉伯
    • UAE
    • 以色列
    • 南非
    • 其他中東和非洲國家

第7章 競爭情勢

  • 最新趨勢
  • 公司分類
  • 供應鏈和銷售管道合作夥伴（根據現有資訊）
  • 市場佔有率和市場定位分析（基於現有資訊）
  • 供應商情況（基於現有資訊）
  • 策略規劃

第8章：公司簡介

  • 主要公司的市佔率分析
  • 公司簡介
    • Siemens Healthineers
    • Zebra Technologies Corporation
    • Riverain Technologies
    • Vuno Inc
    • Aidoc
    • NovaSignal Corporation
    • Imagen
    • Digital Diagnostics Inc
    • GE Healthcare
    • AliveCor Inc
    • F. Hoffmann-La Roche Ltd
簡介目錄
Product Code: VMR11218850

The Artificial Intelligence in Diagnostics Market size is expected to reach USD 16.77 Billion in 2034 from USD 2.64 Billion (2025) growing at a CAGR of 22.8% during 2026-2034.

The global artificial intelligence in diagnostics market is expanding rapidly due to advancements in machine learning and medical imaging technologies. AI-powered tools are increasingly used to analyze radiology images, pathology slides, and patient data for early disease detection. Growing investments in digital healthcare infrastructure and rising acceptance of AI-driven clinical support systems are accelerating market growth.

Major growth drivers include shortages of skilled healthcare professionals, increasing diagnostic workloads, and the need for improved accuracy and efficiency. AI algorithms enhance image interpretation, reduce diagnostic errors, and support faster clinical decision-making. Integration with electronic health records and cloud-based platforms further strengthens implementation across hospitals and diagnostic centers.

Looking forward, regulatory approvals and reimbursement policies will play a crucial role in broader adoption. Continued improvements in algorithm transparency, validation, and interoperability will increase clinician trust. As healthcare systems embrace data-driven medicine, AI in diagnostics is expected to become a core component of modern clinical workflows.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Component

  • Software
  • Hardware
  • Services

By Diagnosis

  • Cardiology
  • Oncology
  • Pathology
  • Radiology
  • Chest and Lung
  • Neurology
  • Others

COMPANIES PROFILED

  • Siemens Healthineers, Zebra Technologies Corporation, Riverain Technologies, Vuno Inc, Aidoc, NovaSignal Corporation, Imagen, Digital Diagnostics Inc, GE Healthcare, AliveCor Inc, F HoffmannLa Roche Ltd
  • We can customise the report as per your requirements.

TABLE OF CONTENTS

Chapter 1. PREFACE

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

Chapter 2. EXECUTIVE SUMMARY

  • 2.1. Market Snapshot
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

  • 3.1. Market Lineage Outlook
  • 3.2. Penetration & Growth Prospect Mapping
  • 3.3. Value Chain Analysis
  • 3.4. Regulatory Framework
    • 3.4.1 Standards & Compliance
    • 3.4.2 Regulatory Impact Analysis
  • 3.5. Market Dynamics
    • 3.5.1 Market Drivers
    • 3.5.2 Market Restraints
    • 3.5.3 Market Opportunities
    • 3.5.4 Market Challenges
  • 3.6. Porter's Five Forces Analysis
  • 3.7. PESTLE Analysis

Chapter 4. GLOBAL ARTIFICIAL INTELLIGENCE IN DIAGNOSTICS MARKET: BY COMPONENT 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Component
  • 4.2. Software Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. Hardware Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.4. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL ARTIFICIAL INTELLIGENCE IN DIAGNOSTICS MARKET: BY DIAGNOSIS 2022-2034 (USD MN)

  • 5.1. Market Analysis, Insights and Forecast Diagnosis
  • 5.2. Cardiology Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.3. Oncology Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.4. Pathology Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.5. Radiology Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.6. Chest and Lung Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.7. Neurology Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.8. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL ARTIFICIAL INTELLIGENCE IN DIAGNOSTICS MARKET: BY REGION 2022-2034(USD MN)

  • 6.1. Regional Outlook
  • 6.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 6.2.1 By Component
    • 6.2.2 By Diagnosis
    • 6.2.3 United States
    • 6.2.4 Canada
    • 6.2.5 Mexico
  • 6.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 6.3.1 By Component
    • 6.3.2 By Diagnosis
    • 6.3.3 United Kingdom
    • 6.3.4 France
    • 6.3.5 Germany
    • 6.3.6 Italy
    • 6.3.7 Russia
    • 6.3.8 Rest Of Europe
  • 6.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 6.4.1 By Component
    • 6.4.2 By Diagnosis
    • 6.4.3 India
    • 6.4.4 Japan
    • 6.4.5 South Korea
    • 6.4.6 Australia
    • 6.4.7 South East Asia
    • 6.4.8 Rest Of Asia Pacific
  • 6.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 6.5.1 By Component
    • 6.5.2 By Diagnosis
    • 6.5.3 Brazil
    • 6.5.4 Argentina
    • 6.5.5 Peru
    • 6.5.6 Chile
    • 6.5.7 South East Asia
    • 6.5.8 Rest of Latin America
  • 6.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 6.6.1 By Component
    • 6.6.2 By Diagnosis
    • 6.6.3 Saudi Arabia
    • 6.6.4 UAE
    • 6.6.5 Israel
    • 6.6.6 South Africa
    • 6.6.7 Rest of the Middle East And Africa

Chapter 7. COMPETITIVE LANDSCAPE

  • 7.1. Recent Developments
  • 7.2. Company Categorization
  • 7.3. Supply Chain & Channel Partners (based on availability)
  • 7.4. Market Share & Positioning Analysis (based on availability)
  • 7.5. Vendor Landscape (based on availability)
  • 7.6. Strategy Mapping

Chapter 8. COMPANY PROFILES OF GLOBAL ARTIFICIAL INTELLIGENCE IN DIAGNOSTICS INDUSTRY

  • 8.1. Top Companies Market Share Analysis
  • 8.2. Company Profiles
    • 8.2.1 Siemens Healthineers
    • 8.2.2 Zebra Technologies Corporation
    • 8.2.3 Riverain Technologies
    • 8.2.4 Vuno Inc
    • 8.2.5 Aidoc
    • 8.2.6 NovaSignal Corporation
    • 8.2.7 Imagen
    • 8.2.8 Digital Diagnostics Inc
    • 8.2.9 GE Healthcare
    • 8.2.10 AliveCor Inc
    • 8.2.11 F. Hoffmann-La Roche Ltd