人工智慧（AI）市场规模、份额及成长分析（按组件、应用、技术、最终用户和地区划分）－医疗保健产业预测（2026-2033年）

预计到 2024 年，全球医疗保健领域的人工智慧 (AI) 市场规模将达到 274.6 亿美元，到 2025 年将成长至 377 亿美元，到 2033 年将成长至 4761.4 亿美元，在预测期（2026-2033 年将成长至 4761.4 亿美元，在预测期（2026-2033 年）内复合年增长率为 37.3%。

受对提升患者照护、提高营运效率和降低成本的需求不断增长的推动，医疗保健领域的人工智慧（AI）市场正经历强劲成长。医疗保健数据的快速增长、计算能力的提升以及向价值医疗模式的转变，正推动人工智慧在包括诊断成像、临床决策支援、药物研发和病患监测在内的各种应用中得到广泛应用。人工智慧能够快速分析大量数据，从而实现疾病的早期发现、个人化治疗和更有效率的管理流程。然而，资料隐私、互通性问题和伦理考量等挑战仍然是人工智慧广泛应用的障碍。公共和私营部门的持续投资、技术进步和监管改革有望解决这些挑战，并释放人工智慧的潜力，从而改变全球医疗保健服务。

全球医疗保健人工智慧 (AI) 市场驱动因素

医疗保健数据的快速增长（预计将超过10Zetta位元组）正在推动对超越传统方法的AI分析的需求。来自电子健康记录、医学影像、基因组学、穿戴式装置和真实世界数据的复杂数据需要先进的分析工具。人工智慧能够加快诊断速度、增强预测风险评分并实现个人化治疗决策，例如梅奥诊所与Google健康合作，从而促进疾病的早期发现。透过利用预测分析，人工智慧有望显着降低医院再入院率，使不断增长的数位健康用户群受益。此外，人工智慧还能提高营运效率，缩短从咨询到计费的过渡时间。最终，它将医疗保健数据转化为可执行的洞察，从而有助于改善患者预后和优化营运流程。

全球医疗保健人工智慧 (AI) 市场面临的限制因素

全球医疗保健领域的人工智慧 (AI) 市场面临着许多挑战，主要集中在资料隐私和安全方面。人工智慧技术需要大量的患者健康信息，这使得医疗保健行业更容易遭受网路攻击，并增加了资料外洩和勒索软体攻击的风险。遵守 HIPAA 和 GDPR 等严格的法规结构进一步加剧了这个问题，因为这些框架的要求复杂，且资料匿名化技术本身也存在潜在风险，可能导致病患身分被重新识别。此外，患者群体普遍缺乏信任也阻碍了资料共用，许多人由于担心资讯被滥用而不愿提供个人资讯。未来发展需要采用强大的加密技术、区块链解决方案、联邦学习以及清晰的管治结构来建立伦理准则。人工智慧隐私是未来医疗保健领域创新的基本要求。

全球人工智慧（AI）市场在医疗领域的趋势

随着医疗服务提供者加速在包括放射科和病理科在内的各个专科领域采用人工智慧（AI）驱动的诊断工具，全球医疗保健领域的人工智慧市场呈现显着上升趋势。对高效、精准诊断的日益重视以及对及时医疗服务持续不断的压力，正推动着对旨在早期疾病检测和改进临床决策的人工智慧解决方案的投资。从敏捷的Start-Ups到老字型大小企业，随着市场参与者加速创新，将人工智慧技术融入患者照护的核心，有望重塑医疗服务模式，最大限度地减少诊断错误，并最终改善全球患者的治疗效果。

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
• 细分市场机会分析

市场动态与展望

• 供需趋势分析
• 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
• 市场影响因素
• 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
• 案例研究分析
• Start-Ups分析
• 技术分析
• 监管分析

全球医疗保健领域人工智慧（AI）市场规模（按组件和复合年增长率划分）（2026-2033 年）

• 硬体
  • 处理器
  • 记忆
  • 网路
• 软体解决方案
  • 人工智慧平台
  • 人工智慧解决方案
• 服务
  • 实施与集成
  • 支援与维护
  • 其他的

全球医疗保健领域人工智慧（AI）市场规模（按功能和复合年增长率划分）（2026-2033 年）

• 诊断和早期检测
  • 体外诊断医疗设备（IVD）
  • 诊断影像
  • 风险评估和患者分层
  • 药物过敏警报
  • 其他诊断和早期检测功能
• 治疗计划与个人化
  • 个人化治疗方案
  • 药物治疗
  • 手术治疗
  • 放射治疗
  • 行为疗法和心理疗法
  • 免疫疗法
  • 其他治疗方案和个人化治疗
• 病人参与和远端监测
  • 症状管理和远端医疗支持
  • 远端医疗和远端患者监护
  • 医疗支援机器人
  • 服药提醒
  • 患者教育与赋能
  • 其他病人参与和远端监测
• 治疗后后续观察和復健护理
  • 復发监测
  • 长期结果预测
  • 心理健康支持系统
• 药局管理
  • 电子处方笺
  • 药物管理
  • 药房审核与分析
  • 其他药局管理功能
• 数据管理与分析
  • 数据集成
  • 预测分析
  • 即时监控
  • 数据视觉化
• 管理工作
  • 病患登记及预约管理
  • 患者资格核实和核准
  • 帐单和索赔管理
  • 人力资源管理
  • 供应链和库存管理
  • 合规性和文檔
  • 医疗工作流程管理
  • 资产管理
  • 客户关係管理
  • 诈欺侦测和风险管理

全球医疗保健领域人工智慧 (AI) 市场规模（按部署模式和复合年增长率划分）（2026-2033 年）

• 本地部署模式
• 云端基础模式
• 混合模式

全球医疗保健领域人工智慧（AI）市场规模（按技术及复合年增长率划分）（2026-2033 年）

• 机器学习
  • 深度学习
  • 监督式学习
  • 强化学习
  • 无监督学习
  • 其他机器学习工具
• 自然语言处理（NLP）
  • 情绪分析
  • 自动编码
  • 分类与归类
  • 文字分析
  • 语音辨识
• 情境感知计算
  • 设备情境
  • 使用者情境
  • 物理环境
• 人工智慧世代
• 模式和影像识别
• 电脑视觉
• 影像分析

全球医疗保健领域人工智慧（AI）市场规模（按最终用户划分）及复合年增长率（2026-2033 年）

• 医疗保健提供者
• 医疗保险公司
• 病人
• 其他的

全球医疗保健领域人工智慧（AI）市场规模（按应用及复合年增长率划分）（2026-2033 年）

• 机器人辅助手术
• 虚拟助手
• 行政工作流程支援系统
• 互联医疗设备
• 医学影像诊断
• 临床试验
• 诈欺侦测
• 网路安全
• 减少用药错误
• 精准医疗
• 药物发现与开发
• 生活方式管理和远端患者监护
• 穿戴式装置
• 其他的

全球医疗保健领域人工智慧（AI）市场规模（按地区划分）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
  • 墨西哥
  • 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

• Microsoft
• Alphabet Inc.
• NVIDIA Corporation
• Oracle Corporation
• Amazon Web Services Inc（AWS）
• Koninklijke Philips NV
• Johnson & Johnson
• Medtronic
• Siemens Healthineers AG
• Cognizant Technology Solutions Corporation
• Solventum Corporation
• Sophia Genetics
• Epic Systems Corporation
• Tempus AI Inc.
• Veradigm Inc.
• Merative
• Riverain Technologies
• ConcertAI
• Viz.ai, Inc.
• GE HealthCare Technologies Inc.

结论与建议

Global Artificial Intelligence (AI) in Healthcare Market size was valued at USD 27.46 Billion in 2024 and is poised to grow from USD 37.7 Billion in 2025 to USD 476.14 Billion by 2033, growing at a CAGR of 37.3% during the forecast period (2026-2033).

The market for Artificial Intelligence (AI) in healthcare is experiencing robust growth driven by the increasing demand for enhanced patient care, operational efficiency, and cost savings. The surge in healthcare data and advancements in computing power, coupled with a shift toward value-based care, have amplified the utilization of AI across various applications, including diagnostic imaging, clinical decision support, drug discovery, and patient monitoring. AI's ability to swiftly analyze large datasets allows for early disease detection, personalized treatments, and improved administrative efficiency. However, challenges such as data privacy, interoperability issues, and ethical concerns pose obstacles to widespread adoption. Ongoing investments from public and private sectors, alongside evolving technologies and regulatory reforms, may address these challenges and unlock AI's potential to transform healthcare delivery globally.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Artificial Intelligence (AI) in Healthcare 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 (AI) in Healthcare Market Segments Analysis

Global Artificial Intelligence (AI) in Healthcare Market is segmented by Component, Function, Deployment Model, Technology, End User, Application and region. Based on Component, the market is segmented into Hardware, Software Solutions and Services. Based on Function, the market is segmented into Diagnosis & Early Detection, Treatment Planning & Personalization, Patient Engagement & Remote Monitoring, Post-Treatment Surveillance & Survivorship Care, Pharmacy Management, Data Management & Analytics and Administrative. Based on Deployment Model, the market is segmented into On-Premises Model, Cloud Based Model and Hybrid Model. Based on Technology, the market is segmented into Machine Learning, Natural Language Processing (NlP), Context-Aware Computing, Generative Ai, Pattern & Image Recognition, Computer Vision and Image Analysis. Based on End User, the market is segmented into Healthcare Providers, Healthcare Payers, Patients and Others. Based on Application, the market is segmented into Robot-assisted Surgery, Virtual Assistants, Administrative Workflow Assistants, Connected Medical Devices, Medical Imaging & Diagnostics, Clinical Trials,Fraud Detection, Cybersecurity, Dosage Error Reduction, Precision Medicine, Drug Discovery & Development, Lifestyle Management & Remote Patient Monitoring, Wearables and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Artificial Intelligence (AI) in Healthcare Market

The burgeoning volume of healthcare data, projected to reach over 10 zettabytes, is driving the demand for AI-enabled analytics that surpass traditional methods. The complexity of data derived from electronic health records, medical imaging, genomics, wearables, and real-world evidence necessitates advanced analytical tools. AI enhances diagnostic speed, boosts predictive risk scoring, and personalizes treatment decisions, exemplified by partnerships such as Mayo Clinic and Google Health, improving early disease detection. By leveraging predictive analytics, AI has significantly reduced hospital readmissions and is set to benefit an expanding digital health user base. Additionally, AI streamlines operational efficiency, cutting the transition time from care to billing, ultimately converting healthcare data into actionable insights that enhance patient outcomes and operational workflows.

Restraints in the Global Artificial Intelligence (AI) in Healthcare Market

The Global Artificial Intelligence (AI) in Healthcare market faces considerable obstacles primarily related to data privacy and security. As AI technologies require extensive patient health information, the healthcare sector becomes increasingly vulnerable to cyberattacks, resulting in heightened risks such as data breaches and ransomware incidents. Compliance with stringent regulatory frameworks, such as HIPAA and GDPR, complicates the landscape due to complex requirements, along with potential risks associated with data anonymization techniques that may lead to re-identification. Additionally, a pervasive lack of trust within the patient community hinders data sharing, as many individuals hesitate to contribute their information out of concern for misuse. The path forward necessitates the implementation of robust encryption, blockchain solutions, federated learning, and well-defined governance structures to establish ethical guidelines, making AI privacy a fundamental requirement for future innovation in healthcare.

Market Trends of the Global Artificial Intelligence (AI) in Healthcare Market

The Global Artificial Intelligence (AI) in Healthcare market is experiencing a significant upward trend as healthcare providers increasingly adopt AI-powered diagnostic tools across various specialties, notably in radiology and pathology. The heightened focus on delivering efficient and accurate diagnostics, compounded by ongoing pressures for timely healthcare delivery, is propelling investments in AI-driven solutions aimed at enhancing early disease detection and clinical decision-making. As market players, ranging from agile startups to established corporations, accelerate innovation, the integration of AI technologies at the forefront of patient care is set to reshape healthcare delivery, minimize diagnostic errors, and ultimately improve patient outcomes on a global scale.

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
• Segmental Opportunity Analysis

Market Dynamics & Outlook

• Market Overview
• Supply & Demand Trend Analysis
• 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
• Market Impact Factor
• Top Investment Pockets
• Market Ecosystem
• Market Attractiveness Index, 2025
• PESTEL Analysis
• Macro-Economic Indicators
• Case Study Analysis
• Startup Analysis
• Technology Analysis
• Regulatory Analysis

Global Artificial Intelligence (AI) in Healthcare Market Size by Component & CAGR (2026-2033)

• Market Overview
• Hardware
  • Processor
  • Memory
  • Network
• Software Solutions
  • AI platform
  • AI Solutions
• Services
  • Deployment & Integration
  • Support & Maintenance
  • Others

Global Artificial Intelligence (AI) in Healthcare Market Size by Function & CAGR (2026-2033)

• Market Overview
• Diagnosis & Early Detection
  • IVD
  • Diagnostic Imaging
  • Risk Assessment & Patient Stratification
  • Drug Allergy Alerting
  • Other Diagnosis & Early Detection Functions
• Treatment Planning & Personalization
  • Personalized Treatment Planning
  • Pharmacological Therapy
  • Surgical Therapy
  • Radiation Therapy
  • Behavioral Therapy & Psychotherapy
  • Immunotherapy
  • Other Treatment Planning & Personalization
• Patient Engagement & Remote Monitoring
  • Symptom Management & Virtual Assistance
  • Telehealth & Remote Patient Monitoring
  • Healthcare Assistance Robots
  • Medication Reminders
  • Patient Education & Empowerment
  • Other Patient Engagement & Remote Monitoring
• Post-Treatment Surveillance & Survivorship Care
  • Recurrence Monitoring
  • Long-Term Outcome Prediction
  • Mental Health & Support Systems
• Pharmacy Management
  • E-prescribing
  • Medication Management
  • Pharmacy Audit & Analysis
  • Other Pharmacy Management Functions
• Data Management & Analytics
  • Data Integration
  • Predictive Analytics
  • Real-time Monitoring
  • Data Visualization
• Administrative
  • Patient Registration & Scheduling
  • Patient Eligibility & Authorization
  • Billing & Claims Management
  • Workforce Management
  • Supply Chain & Inventory Management
  • Compliance & Documentation
  • Healthcare Workflow Management
  • Asset Management
  • Customer Relationship Management
  • Fraud Detection & Risk Management

Global Artificial Intelligence (AI) in Healthcare Market Size by Deployment Model & CAGR (2026-2033)

• Market Overview
• On-Premises Model
• Cloud Based Model
• Hybrid Model

Global Artificial Intelligence (AI) in Healthcare Market Size by Technology & CAGR (2026-2033)

• Market Overview
• Machine Learning
  • Deep Learning
  • Supervised Learning
  • Reinforcement Learning
  • Unsupervised Learning
  • Other Machine Learning Tools
• Natural Language Processing (NlP)
  • Sentiment Analysis
  • Auto Coding
  • Classification & Categorization
  • Text Analytics
  • Speech Recognition
• Context-Aware Computing
  • Device Context
  • User Context
  • Physical Context
• Generative Ai
• Pattern & Image Recognition
• Computer Vision
• Image Analysis

Global Artificial Intelligence (AI) in Healthcare Market Size by End User & CAGR (2026-2033)

• Market Overview
• Healthcare Providers
• Healthcare Payers
• Patients
• Others

Global Artificial Intelligence (AI) in Healthcare Market Size by Application & CAGR (2026-2033)

• Market Overview
• Robot-assisted Surgery
• Virtual Assistants
• Administrative Workflow Assistants
• Connected Medical Devices
• Medical Imaging & Diagnostics
• Clinical Trials
• Fraud Detection
• Cybersecurity
• Dosage Error Reduction
• Precision Medicine
• Drug Discovery & Development
• Lifestyle Management & Remote Patient Monitoring
• Wearables
• Others

Global Artificial Intelligence (AI) in Healthcare Market Size & CAGR (2026-2033)

• North America (Component, Function, Deployment Model, Technology, End User, Application)
  • US
  • Canada
• Europe (Component, Function, Deployment Model, Technology, End User, Application)
  • Germany
  • Spain
  • France
  • UK
  • Italy
  • Rest of Europe
• Asia Pacific (Component, Function, Deployment Model, Technology, End User, Application)
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia-Pacific
• Latin America (Component, Function, Deployment Model, Technology, End User, Application)
  • Brazil
  • Mexico
  • Rest of Latin America
• Middle East & Africa (Component, Function, Deployment Model, Technology, End User, Application)
  • 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

• Microsoft
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Alphabet Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• NVIDIA Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Oracle Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Amazon Web Services Inc (AWS)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Koninklijke Philips NV
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Johnson & Johnson
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Medtronic
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Siemens Healthineers AG
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Cognizant Technology Solutions Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Solventum Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Sophia Genetics
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Epic Systems Corporation
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Tempus AI Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Veradigm Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Merative
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Riverain Technologies
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• ConcertAI
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Viz.ai, Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• GE HealthCare Technologies Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendations