人工智慧（AI）在醫療診斷領域的市場規模、佔有率和成長分析（按組件、技術、應用和最終用戶分類）—產業預測（2026-2033 年）

全球醫療診斷人工智慧 (AI) 市場預計到 2024 年將達到 14.2 億美元，到 2025 年將達到 18.2 億美元，到 2033 年將達到 130 億美元，預測期（2026-2033 年）的複合年成長率為 27.9%。

由於對提高診斷準確性的需求、合格醫療專業人員短缺以及慢性病發病率的上升，全球醫療診斷領域人工智慧（AI）市場預計將顯著成長。人工智慧軟體和服務透過分析數據，並基於醫學影像支援知情決策和患者分診，正在變革診斷流程。這些技術利用深度學習、先進演算法和數據洞察，簡化了診斷工作流程，同時減輕了醫護人員的負擔。此外，新興經濟體的巨大成長潛力以及跨產業夥伴關係的激增，進一步鞏固了人工智慧作為現代醫療診斷關鍵組成部分的地位。

全球醫療診斷人工智慧 (AI) 市場按組件、技術、應用、最終用戶和地區進行細分。按組件分類，市場分為軟體、硬體和服務。依技術分類，市場分為機器學習、自然語言處理和電腦視覺。按應用分類，市場分為放射學、病理學、心臟病學、神經病學和腫瘤學。依最終用戶分類，市場分為醫院、診斷檢查室、研究機構和診所。按地區分類，分析涵蓋北美、歐洲、亞太地區、拉丁美洲以及中東和非洲。

全球醫療診斷人工智慧（AI）市場成長要素

巨量資料在醫療診斷領域的應用預計將顯著推動全球人工智慧（AI）在醫療診斷市場的成長。透過利用大量的健康相關數據，人工智慧技術可以提高診斷的準確性和效率，從而實現更個人化的患者照護。資訊的湧入將使醫療專業人員能夠識別出以前可能被忽略的模式和關聯，從而帶來更好的治療效果和更快的決策流程。因此，巨量資料和人工智慧的整合有望徹底改變診斷產業，並從根本上改變醫療服務的提供方式和病患的管理方式。

全球醫療診斷人工智慧 (AI) 市場限制因素

全球人工智慧（AI）在醫療診斷市場面臨的主要挑戰之一是醫療專業人員對AI系統準確性的質疑。許多醫療專業人員對AI產生的診斷結果的可靠性和準確性表示擔憂，導致他們在臨床應用中猶豫不決。這種擔憂通常源於對AI的能力和限制缺乏全面了解，以及對誤診可能性的擔憂。因此，這種質疑可能會阻礙AI解決方案在診斷領域的應用，最終減緩市場成長，並限制其在醫療界的廣泛接受度。

全球人工智慧市場在醫療診斷領域的趨勢

受醫療機構對更高診斷準確性和效率需求的不斷成長的推動，全球醫療診斷人工智慧（AI）市場正經歷顯著成長。創新AI解決方案正日益融入臨床工作流程，進而改善患者預後並提高流程效率。然而，挑戰依然存在，例如需要建立能夠更好地理解人類認知並有效解讀複雜數據的模型。隨著相關人員尋求改進機器學習技術，建構使用者友善介面和強大的回饋機制的重要性日益凸顯。這種情況為AI開發者提供了一個絕佳的機會，讓他們能夠開發出感知人類需求的系統，彌合技術與臨床應用之間的鴻溝，最終變革醫療診斷。

目錄

介紹

• 調查目標
• 調查範圍
• 定義

調查方法

• 資訊收集
• 二手資料和一手資料方法
• 市場規模預測
• 市場假設與限制

執行摘要

• 全球市場展望
• 供需趨勢分析
• 細分市場機會分析

市場動態與展望

• 市場規模
• 市場動態
  • 促進因素和機遇
  • 限制與挑戰
• 波特分析

關鍵市場考察

• 關鍵成功因素
• 競爭程度
• 關鍵投資機會
• 市場生態系統
• 市場吸引力指數（2025）
• PESTEL 分析
• 總體經濟指標
• 價值鏈分析
• 定價分析

全球醫療診斷人工智慧（AI）市場規模（按組成部分及複合年成長率分類）（2026-2033 年）

• 硬體
  • 處理器
  • MPU
  • GPU
  • FPGA
  • ASIC
  • 記憶
  • 網路
• 軟體
  • 影像處理軟體
  • 預測分析軟體
  • 診斷軟體
• 服務

全球醫療診斷人工智慧（AI）市場規模（按模式和複合年成長率分類）（2026-2033 年）

• 診斷影像方式
  • 電腦斷層掃描（CT）
  • X光
  • 磁振造影（MRI）
  • 超音波
  • 乳房X光檢查
  • 其他
• 診斷方式
  • 免疫檢測
  • 臨床化學
  • 血液學
  • 微生物學
  • 其他

全球醫療診斷人工智慧（AI）市場規模（按應用及複合年成長率分類）（2026-2033 年）

• 體內診斷
  • 診斷放射學
  • 腫瘤學
  • 循環系統
  • 神經病學
  • 婦科
  • 眼科
  • 其他
• 體外診斷
  • 感染疾病
  • 內分泌學
  • 自體免疫檢測
  • 血液篩檢和血液凝固檢驗
  • 其他

全球醫療診斷人工智慧（AI）市場規模（按最終用途和複合年成長率分類）（2026-2033 年）

• 醫院
• 診斷影像中心
• 診斷檢查室
• 其他

全球醫療診斷人工智慧（AI）市場規模及複合年成長率（2026-2033）

• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 德國
  • 西班牙
  • 法國
  • 英國
  • 義大利
  • 其他歐洲地區
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 亞太其他地區
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲地區
• 中東和非洲
  • 海灣合作理事會國家
  • 南非
  • 其他中東和非洲地區

競爭資訊

• 前五大公司對比
• 主要企業的市場定位（2025 年）
• 主要市場參與者所採取的策略
• 近期市場趨勢
• 公司市佔率分析（2025 年）
• 主要企業公司簡介
  • 公司詳情
  • 產品系列分析
  • 依業務板塊進行公司股票分析
  • 2023-2025年營收年比比較

主要企業簡介

• IBM Corporation（US）
• Google（US）
• Microsoft（US）
• Intel Corporation（US）
• NVIDIA Corporation（US）
• Siemens Healthineers AG（Germany）
• GE Healthcare（US）
• Philips（Netherlands）
• Aidoc（Israel）
• Enlitic, Inc.（US）
• HeartFlow, Inc.（US）
• Imagen Technologies（US）
• Lunit Inc.（South Korea）
• Qure.ai（India）
• Zebra Medical Vision（Israel）
• Paige.AI（US）
• icometrix（Belgium）

結論與建議

Global Artificial Intelligence In Medical Diagnostics Market size was valued at USD 1.42 Billion in 2024 and is poised to grow from USD 1.82 Billion in 2025 to USD 13 Billion by 2033, growing at a CAGR of 27.9% during the forecast period (2026-2033).

The global market for artificial intelligence in medical diagnostics is poised for significant expansion, driven by the increasing need for enhanced accuracy in diagnoses, a shortage of qualified healthcare professionals, and a rising prevalence of chronic diseases. AI software and services are transforming diagnostic processes by analyzing data and assisting practitioners in making informed decisions or triaging patients based on medical imaging. Leveraging deep learning, advanced algorithms, and data insights, these technologies streamline the diagnostic workflow while alleviating the burden on medical staff. Additionally, emerging economies present substantial growth potential, alongside a surge in cross-industry partnerships and collaborations, further positioning AI as a critical component in modern healthcare diagnostics.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Artificial Intelligence In Medical Diagnostics market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Artificial Intelligence In Medical Diagnostics Market Segments Analysis

Global Artificial Intelligence In Medical Diagnostics Market is segmented into component, technology, application, end User, and region. By component the market is classified into Software, hardware and services. By technology, it is divided into machine learning, natural Language processing and computer vision. According to the application, the market is categorized into Radiology, Pathology, cardiology, neurology and oncology. As per the end user, it is segregated into hospitals, diagnostic labs, research institutes, and clinics. Regionally, it is analyzed across North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa.

Driver of the Global Artificial Intelligence In Medical Diagnostics Market

The integration of Big Data into the medical diagnostics sector is poised to significantly propel the growth of the Global Artificial Intelligence in Medical Diagnostics market. By harnessing vast amounts of health-related data, AI technologies can enhance diagnostic accuracy and efficiency, allowing for more personalized patient care. This influx of information enables healthcare professionals to identify patterns and correlations that may have previously gone unnoticed, leading to better outcomes and faster decision-making processes. As a result, the combination of Big Data with artificial intelligence stands to revolutionize diagnostics, ultimately transforming the landscape of healthcare delivery and patient management.

Restraints in the Global Artificial Intelligence In Medical Diagnostics Market

One of the significant challenges facing the Global Artificial Intelligence in Medical Diagnostics market is the skepticism surrounding the accuracy of AI systems among medical professionals. Many healthcare practitioners express concerns about the reliability and precision of AI-generated diagnoses, which can lead to hesitancy in adopting these technologies in clinical settings. This apprehension is often rooted in a lack of comprehensive understanding of AI capabilities and limitations, as well as apprehensions about the potential for misdiagnosis. Consequently, this doubt can hinder the integration of AI solutions in diagnostics, ultimately slowing market growth and limiting widespread acceptance within the medical community.

Market Trends of the Global Artificial Intelligence In Medical Diagnostics Market

The Global Artificial Intelligence in Medical Diagnostics market is witnessing significant growth driven by the rising demand for enhanced diagnostic accuracy and efficiency in healthcare. Innovative AI solutions are progressively being integrated into clinical workflows, facilitating improved patient outcomes and streamlined processes. Challenges persist, including the need for models to better understand human cognition and to effectively interpret complex data. As stakeholders seek to enhance machine learning methodologies, there is a growing emphasis on creating user-friendly interfaces and robust feedback mechanisms. This landscape presents an exceptional opportunity for AI developers to advance human-aware systems that bridge the gap between technology and clinical application, ultimately transforming medical diagnostics.

Table of Contents

Introduction

• Objectives of the Study
• Scope of the Report
• Definitions

Research Methodology

• Information Procurement
• Secondary & Primary Data Methods
• Market Size Estimation
• Market Assumptions & Limitations

Executive Summary

• Global Market Outlook
• Supply & Demand Trend Analysis
• Segmental Opportunity Analysis

Market Dynamics & Outlook

• Market Overview
• Market Size
• Market Dynamics
  • Drivers & Opportunities
  • Restraints & Challenges
• Porters Analysis
  • Competitive rivalry
  • Threat of substitute
  • Bargaining power of buyers
  • Threat of new entrants
  • Bargaining power of suppliers

Key Market Insights

• Key Success Factors
• Degree of Competition
• Top Investment Pockets
• Market Ecosystem
• Market Attractiveness Index, 2025
• PESTEL Analysis
• Macro-Economic Indicators
• Value Chain Analysis
• Pricing Analysis

Global Artificial Intelligence In Medical Diagnostics Market Size by Component & CAGR (2026-2033)

• Market Overview
• Hardware
  • Processors
  • MPU
  • GPU
  • FPGA
  • ASIC
  • Memory
  • Networks
• Software
  • Imaging Software
  • Predictive Analysis Software
  • Diagnostic Software
• Services

Global Artificial Intelligence In Medical Diagnostics Market Size by Modality & CAGR (2026-2033)

• Market Overview
• Imaging Modalities
  • Computed Tomography
  • X-Ray
  • Magnetic Resonance Imaging (MRI)
  • Ultrasound
  • Mammography
  • Others
• Diagnostic Modalities
  • Immunoassay
  • Clinical Chemistry
  • Hematology
  • Microbiology
  • Others

Global Artificial Intelligence In Medical Diagnostics Market Size by Application & CAGR (2026-2033)

• Market Overview
• In Vivo Diagnostics
  • Radiology
  • Oncology
  • Cardiology
  • Neurology
  • Gynecology
  • Ophthalmology
  • Others
• In Vitro Diagnostics
  • Infectious Diseases
  • Endocrinology
  • Autoimmune Testing
  • Blood Screening And Coagulation Testing
  • Others

Global Artificial Intelligence In Medical Diagnostics Market Size by End Use & CAGR (2026-2033)

• Market Overview
• Hospitals
• Diagnostic Imaging Centers
• Diagnostic Laboratories
• Others

Global Artificial Intelligence In Medical Diagnostics Market Size & CAGR (2026-2033)

• North America (Component, Modality, Application, End Use)
  • US
  • Canada
• Europe (Component, Modality, Application, End Use)
  • Germany
  • Spain
  • France
  • UK
  • Italy
  • Rest of Europe
• Asia Pacific (Component, Modality, Application, End Use)
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia-Pacific
• Latin America (Component, Modality, Application, End Use)
  • Brazil
  • Rest of Latin America
• Middle East & Africa (Component, Modality, Application, End Use)
  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Competitive Intelligence

• Top 5 Player Comparison
• Market Positioning of Key Players, 2025
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2025
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2023-2025)

Key Company Profiles

• IBM Corporation (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Google (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Microsoft (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Intel Corporation (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• NVIDIA Corporation (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Siemens Healthineers AG (Germany)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• GE Healthcare (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Philips (Netherlands)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Aidoc (Israel)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Enlitic, Inc. (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• HeartFlow, Inc. (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Imagen Technologies (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Lunit Inc. (South Korea)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Qure.ai (India)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Zebra Medical Vision (Israel)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Paige.AI (US)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• icometrix (Belgium)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendations