医疗保健领域的人工智慧市场机会、成长动力、产业趋势分析及 2024 - 2032 年预测

2024 年全球医疗保健人工智慧市场价值为 187 亿美元，预计 2025 年至 2034 年的复合年增长率为 37.1%。 推动这一增长的关键因素包括人工智慧在医疗保健研究中的广泛应用、多样化应用的出现以及有利的融资环境。人工智慧在提高诊断准确性、优化临床工作流程和加快治疗发展方面的变革性作用使其成为医疗保健产业创新的基石。

医疗保健市场中的人工智慧细分为软体和服务，其中软体类别的复合年增长率为 36.9%，到 2034 年将产生 2529 亿美元的收入。机器学习 (ML) 和自然语言处理 (NLP) 技术在医学影像、电子健康记录 (EHR) 分析和虚拟健康助理等任务中的应用越来越多，这推动了需求。此外，软体即服务 (SaaS) 模式的可扩展性和成本效益进一步增强了吸引力。

在各种应用中，医学影像和诊断在 2024 年成为领先领域，创造 74 亿美元的收入。该领域受益于人工智慧分析大量成像资料集、检测异常和无与伦比的精度识别模式的能力。透过提高诊断准确性并减少放射科医生的工作量，人工智慧工具在现代医疗保健系统中变得不可或缺。

2024 年，北美医疗保健人工智慧市场创造了 77 亿美元的收入，预计 2025 年至 2034 年的复合年增长率为 37.7%。诊断、药物开发和医院工作流程优化等领域的创新技术的早期采用巩固了北美在全球人工智慧医疗保健市场的领导地位。

随着人工智慧的不断发展，其在医疗保健领域的应用不断扩大，为诊断、个人化医疗和营运效率的空前进步铺平了道路。该市场的成长轨迹凸显了其在塑造全球医疗保健未来方面的关键作用。

目录

第 1 章：方法论与范围

第 2 章：执行摘要

第 3 章：产业洞察

• 产业生态系统分析
• 产业衝击力
  • 成长动力
    • 医疗人工智慧在研究领域的应用日益广泛
    • 未来应用范围不断扩大
    • 巨量资料分析的进步
    • 有利的融资环境
  • 产业陷阱与挑战
    • 初始资本要求高
    • 有关患者资料的安全问题
• 成长潜力分析
• 专利分析
• 启动场景
• 医疗保健项目中的人工智慧
• 医疗和技术进步
• 监管格局
• 未来市场趋势
• 波特的分析
• PESTEL 分析

第四章：竞争格局

• 介绍
• 公司矩阵分析
• 主要市场参与者的竞争分析
• 竞争定位矩阵
• 策略仪表板

第五章：市场估计与预测：按供应量，2021 – 2032 年

• 主要趋势
• 软体
• 服务

第 6 章：市场估计与预测：按应用，2021 年至 2032 年

• 主要趋势
• 医学影像和诊断
• 药物研发
• 工作流程管理
• 患者参与解决方案
• 网路安全
• 其他应用

第 7 章：市场估计与预测：依最终用途，2021 年至 2032 年

• 主要趋势
• 医疗保健提供者
  • 医院和诊所
  • 诊断中心
  • 其他医疗保健提供者
• 製药和生命科学公司
• 医疗保健付款人

第 8 章：市场估计与预测：按地区，2021 年至 2032 年

• 主要趋势
• 北美洲
  • 我们
  • 加拿大
• 欧洲
  • 德国
  • 英国
  • 法国
  • 西班牙
  • 义大利
  • 荷兰
• 亚太地区
  • 中国
  • 日本
  • 印度
  • 澳洲
  • 韩国
• 拉丁美洲
  • 巴西
  • 墨西哥
  • 阿根廷
• 中东和非洲
  • 南非
  • 沙乌地阿拉伯
  • 阿联酋

第九章：公司简介

• AiCure
• Aidoc
• Apixio
• Dassault Systemes (Medidata)
• Enlitic
• Insilico Medicine
• International Business Machines
• IQVIA
• Itrex Group
• Koninklijke Philips NV
• Microsoft
• NVIDIA
• Persistent Systems
• Siemens Healthineers
• Sophia Genetics

The Global Artificial Intelligence In Healthcare Market was valued at USD 18.7 billion in 2024 and is projected to grow at a CAGR of 37.1% from 2025 to 2034. Key factors driving this growth include the expanding use of AI in healthcare research, the emergence of diverse applications, and favorable funding environments. The transformative role of AI in enhancing diagnostic accuracy, optimizing clinical workflows, and expediting treatment development has positioned it as a cornerstone of innovation in the healthcare industry.

Artificial intelligence in healthcare market is segmented into software and services, with the software category growing at a CAGR of 36.9% and generating USD 252.9 billion through 2034. AI software solutions enable healthcare providers to improve decision-making, streamline operations, and offer personalized care. Increased adoption of machine learning (ML) and natural language processing (NLP) technologies for tasks such as medical imaging, electronic health record (EHR) analysis, and virtual health assistants is fueling demand. Additionally, the scalability and cost-efficiency of software-as-a-service (SaaS) models further enhance the appeal.

Among various applications, medical imaging and diagnosis emerged as a leading segment in 2024, generating USD 7.4 billion in revenue. This segment benefits from AI's ability to analyze vast imaging datasets, detect anomalies, and identify patterns with unmatched precision. By improving diagnostic accuracy and reducing radiologists' workload, AI-powered tools are becoming indispensable in modern healthcare systems.

North America artificial intelligence in healthcare market generated USD 7.7 billion in 2024 and is forecasted to grow at a CAGR of 37.7% from 2025 to 2034. The region's dominance can be attributed to advanced technological infrastructure, significant healthcare spending, and supportive regulatory policies. Early adoption of innovative technologies across diagnostics, drug development, and hospital workflow optimization has solidified North America's leadership in the global AI healthcare market.

As AI continues to evolve, its applications in healthcare are broadening, paving the way for unprecedented advancements in diagnostics, personalized medicine, and operational efficiency. The market's growth trajectory highlights its critical role in shaping the future of healthcare globally.

Table of Contents

Chapter 1 Methodology and Scope

• 1.1 Market scope and definitions
• 1.2 Research design
  • 1.2.1 Research approach
  • 1.2.2 Data collection methods
• 1.3 Base estimates and calculations
  • 1.3.1 Base year calculation
  • 1.3.2 Key trends for market estimation
• 1.4 Forecast model
• 1.5 Primary research and validation
  • 1.5.1 Primary sources
  • 1.5.2 Data mining sources

Chapter 2 Executive Summary

• 2.1 Industry 360⁰ synopsis

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Industry impact forces
  • 3.2.1 Growth drivers
    • 3.2.1.1 Rising adoption of healthcare artificial intelligence in research areas
    • 3.2.1.2 Increasing range of future applications
    • 3.2.1.3 Advancements in big data analytics
    • 3.2.1.4 Favorable funding scenario
  • 3.2.2 Industry pitfalls AND challenges
    • 3.2.2.1 High initial capital requirement
    • 3.2.2.2 Security concerns regarding patient data
• 3.3 Growth potential analysis
• 3.4 Patent analysis
• 3.5 Start-up scenario
• 3.6 Artificial intelligence in healthcare projects
• 3.7 Medical and technological advancements
• 3.8 Regulatory landscape
• 3.9 Future market trends
• 3.10 Porter’s analysis
• 3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

• 4.1 Introduction
• 4.2 Company matrix analysis
• 4.3 Competitive analysis of major market players
• 4.4 Competitive positioning matrix
• 4.5 Strategy dashboard

Chapter 5 Market Estimates and Forecast, By Offering, 2021 – 2032 ($ Mn)

• 5.1 Key trends
• 5.2 Software
• 5.3 Services

Chapter 6 Market Estimates and Forecast, By Application, 2021 – 2032 ($ Mn)

• 6.1 Key trends
• 6.2 Medical imaging and diagnosis
• 6.3 Drug discovery
• 6.4 Workflow management
• 6.5 Patient engagement solutions
• 6.6 Cybersecurity
• 6.7 Other applications

Chapter 7 Market Estimates and Forecast, By End Use, 2021 – 2032 ($ Mn)

• 7.1 Key trends
• 7.2 Healthcare providers
  • 7.2.1 Hospitals and clinics
  • 7.2.2 Diagnostic centers
  • 7.2.3 Other healthcare providers
• 7.3 Pharmaceutical and life sciences companies
• 7.4 Healthcare payors

Chapter 8 Market Estimates and Forecast, By Region, 2021 – 2032 ($ Mn)

• 8.1 Key trends
• 8.2 North America
  • 8.2.1 U.S.
  • 8.2.2 Canada
• 8.3 Europe
  • 8.3.1 Germany
  • 8.3.2 UK
  • 8.3.3 France
  • 8.3.4 Spain
  • 8.3.5 Italy
  • 8.3.6 Netherlands
• 8.4 Asia Pacific
  • 8.4.1 China
  • 8.4.2 Japan
  • 8.4.3 India
  • 8.4.4 Australia
  • 8.4.5 South Korea
• 8.5 Latin America
  • 8.5.1 Brazil
  • 8.5.2 Mexico
  • 8.5.3 Argentina
• 8.6 Middle East and Africa
  • 8.6.1 South Africa
  • 8.6.2 Saudi Arabia
  • 8.6.3 UAE

Chapter 9 Company Profiles

• 9.1 AiCure
• 9.2 Aidoc
• 9.3 Apixio
• 9.4 Dassault Systemes (Medidata)
• 9.5 Enlitic
• 9.6 Insilico Medicine
• 9.7 International Business Machines
• 9.8 IQVIA
• 9.9 Itrex Group
• 9.10 Koninklijke Philips N.V.
• 9.11 Microsoft
• 9.12 NVIDIA
• 9.13 Persistent Systems
• 9.14 Siemens Healthineers
• 9.15 Sophia Genetics