人工智慧（AI）在医疗诊断领域的市场规模、份额和成长分析（按组件、技术、应用和最终用户划分）—产业预测（2026-2033 年）

全球医疗诊断人工智慧 (AI) 市场预计到 2024 年将达到 14.2 亿美元，到 2025 年将达到 18.2 亿美元，到 2033 年将达到 130 亿美元，预测期（2026-2033 年）的复合年增长率为 27.9%。

由于对提高诊断准确性的需求、合格医疗专业人员短缺以及慢性病发病率的上升，全球医疗诊断领域人工智慧（AI）市场预计将显着增长。人工智慧软体和服务透过分析数据，并基于医学影像支援知情决策和患者分诊，正在变革诊断流程。这些技术利用深度学习、先进演算法和数据洞察，简化了诊断工作流程，同时减轻了医护人员的负担。此外，新兴经济体的巨大成长潜力以及跨产业伙伴关係的激增，进一步巩固了人工智慧作为现代医疗诊断关键组成部分的地位。

全球医疗诊断人工智慧 (AI) 市场按组件、技术、应用、最终用户和地区进行细分。按组件划分，市场分为软体、硬体和服务。依技术划分，市场分为机器学习、自然语言处理和电脑视觉。按应用划分，市场分为放射学、病理学、心臟病学、神经病学和肿瘤学。依最终用户划分，市场分为医院、诊断检查室、研究机构和诊所。按地区划分，分析涵盖北美、欧洲、亚太地区、拉丁美洲以及中东和非洲。

全球医疗诊断人工智慧（AI）市场成长要素

巨量资料在医疗诊断领域的应用预计将显着推动全球人工智慧（AI）在医疗诊断市场的成长。透过利用大量的健康相关数据，人工智慧技术可以提高诊断的准确性和效率，从而实现更个人化的患者照护。资讯的涌入将使医疗专业人员能够识别出以前可能被忽略的模式和关联，从而带来更好的治疗效果和更快的决策流程。因此，巨量资料和人工智慧的整合有望彻底改变诊断产业，并从根本上改变医疗服务的提供方式和病患的管理方式。

全球医疗诊断人工智慧 (AI) 市场限制因素

全球人工智慧（AI）在医疗诊断市场面临的主要挑战之一是医疗专业人员对AI系统准确性的质疑。许多医疗专业人员对AI产生的诊断结果的可靠性和准确性表示担忧，导致他们在临床应用中犹豫不决。这种担忧通常源于对AI的能力和限制缺乏全面了解，以及对误诊可能性的担忧。因此，这种质疑可能会阻碍AI解决方案在诊断领域的应用，最终减缓市场成长，并限制其在医疗界的广泛接受度。

全球人工智慧市场在医疗诊断领域的趋势

受医疗机构对更高诊断准确性和效率需求的不断增长的推动，全球医疗诊断人工智慧（AI）市场正经历显着增长。创新AI解决方案正日益融入临床工作流程，进而改善患者预后并提高流程效率。然而，挑战依然存在，例如需要建立能够更好地理解人类认知并有效解读复杂数据的模型。随着相关人员寻求改进机器学习技术，建构使用者友善介面和强大的回馈机制的重要性日益凸显。这种情况为AI开发者提供了一个绝佳的机会，让他们能够开发出感知人类需求的系统，弥合技术与临床应用之间的鸿沟，最终变革医疗诊断。

目录

介绍

• 调查目标
• 调查范围
• 定义

调查方法

• 资讯收集
• 二手资料和一手资料方法
• 市场规模预测
• 市场假设与限制

执行摘要

• 全球市场展望
• 供需趋势分析
• 细分市场机会分析

市场动态与展望

• 市场规模
• 市场动态
  • 驱动因素和机会
  • 限制与挑战
• 波特分析

关键市场考察

• 关键成功因素
• 竞争程度
• 关键投资机会
• 市场生态系统
• 市场吸引力指数（2025）
• PESTEL 分析
• 总体经济指标
• 价值链分析
• 定价分析

全球医疗诊断人工智慧（AI）市场规模（按组成部分及复合年增长率划分）（2026-2033 年）

• 硬体
  • 处理器
  • MPU
  • GPU
  • FPGA
  • ASIC
  • 记忆
  • 网路
• 软体
  • 影像处理软体
  • 预测分析软体
  • 诊断软体
• 服务

全球医疗诊断人工智慧（AI）市场规模（按模式和复合年增长率划分）（2026-2033 年）

• 诊断影像方式
  • 电脑断层扫描（CT）
  • X射线
  • 磁振造影（MRI）
  • 超音波
  • 乳房X光检查
  • 其他的
• 诊断方式
  • 免疫检测
  • 临床化学
  • 血液学
  • 微生物学
  • 其他的

全球医疗诊断人工智慧（AI）市场规模（按应用及复合年增长率划分）（2026-2033 年）

• 体内诊断
  • 诊断放射学
  • 肿瘤学
  • 循环系统
  • 神经病学
  • 妇科
  • 眼科
  • 其他的
• 体外诊断
  • 感染疾病
  • 内分泌学
  • 自体免疫检测
  • 血液筛检和血液凝固检验
  • 其他的

全球医疗诊断人工智慧（AI）市场规模（按最终用途和复合年增长率划分）（2026-2033 年）

• 医院
• 诊断影像中心
• 诊断检查室
• 其他的

全球医疗诊断人工智慧（AI）市场规模及复合年增长率（2026-2033）

• 北美洲
  • 美国
  • 加拿大
• 欧洲
  • 德国
  • 西班牙
  • 法国
  • 英国
  • 义大利
  • 其他欧洲地区
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 亚太其他地区
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲地区
• 中东和非洲
  • 海湾合作委员会国家
  • 南非
  • 其他中东和非洲地区

竞争资讯

• 前五大公司对比
• 主要企业的市场定位（2025 年）
• 主要市场参与者所采取的策略
• 近期市场趋势
• 公司市占率分析（2025 年）
• 主要企业公司简介
  • 公司详情
  • 产品系列分析
  • 依业务板块进行公司股票分析
  • 2023-2025年营收年比比较

主要企业简介

• 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）

结论与建议

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