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市場調查報告書
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1666902

醫療保健領域的人工智慧市場機會、成長動力、產業趨勢分析及 2024 - 2032 年預測

Artificial Intelligence in Healthcare Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2024 - 2032

出版日期: | 出版商: Global Market Insights Inc. | 英文 130 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2024 年全球醫療保健人工智慧市場價值為 187 億美元,預計 2025 年至 2034 年的複合年成長率為 37.1%。 推動這一成長的關鍵因素包括人工智慧在醫療保健研究中的廣泛應用、多樣化應用的出現以及有利的融資環境。人工智慧在提高診斷準確性、最佳化臨床工作流程和加快治療發展方面的變革性作用使其成為醫療保健產業創新的基石。

醫療保健市場中的人工智慧 - IMG1

醫療保健市場中的人工智慧細分為軟體和服務,其中軟體類別的複合年成長率為 36.9%,到 2034 年將產生 2529 億美元的收入。機器學習 (ML) 和自然語言處理 (NLP) 技術在醫學影像、電子健康記錄 (EHR) 分析和虛擬健康助理等任務中的應用越來越多,這推動了需求。此外,軟體即服務 (SaaS) 模式的可擴展性和成本效益進一步增強了吸引力。

市場範圍
起始年份 2023
預測年份 2024-2032
起始值 187億美元
預測值 3171億美元
複合年成長率 37.1%

在各種應用中,醫學影像和診斷在 2024 年成為領先領域,創造 74 億美元的收入。該領域受益於人工智慧分析大量成像資料集、檢測異常和無與倫比的精度識別模式的能力。透過提高診斷準確性並減少放射科醫生的工作量,人工智慧工具在現代醫療保健系統中變得不可或缺。

2024 年,北美醫療保健人工智慧市場創造了 77 億美元的收入,預計 2025 年至 2034 年的複合年成長率為 37.7%。診斷、藥物開發和醫院工作流程最佳化等領域的創新技術的早期採用鞏固了北美在全球人工智慧醫療保健市場的領導地位。

隨著人工智慧的不斷發展,其在醫療保健領域的應用不斷擴大,為診斷、個人化醫療和營運效率的空前進步鋪平了道路。該市場的成長軌跡凸顯了其在塑造全球醫療保健未來方面的關鍵作用。

目錄

第 1 章:方法論與範圍

第 2 章:執行摘要

第 3 章:產業洞察

  • 產業生態系統分析
  • 產業衝擊力
    • 成長動力
      • 醫療人工智慧在研究領域的應用日益廣泛
      • 未來應用範圍不斷擴大
      • 巨量資料分析的進步
      • 有利的融資環境
    • 產業陷阱與挑戰
      • 初始資本要求高
      • 有關患者資料的安全問題
  • 成長潛力分析
  • 專利分析
  • 啟動場景
  • 醫療保健項目中的人工智慧
  • 醫療和技術進步
  • 監管格局
  • 未來市場趨勢
  • 波特的分析
  • PESTEL 分析

第4章:競爭格局

  • 介紹
  • 公司矩陣分析
  • 主要市場參與者的競爭分析
  • 競爭定位矩陣
  • 策略儀表板

第5章:市場估計與預測:按供應量,2021 – 2032 年

  • 主要趨勢
  • 軟體
  • 服務

第 6 章:市場估計與預測:按應用,2021 年至 2032 年

  • 主要趨勢
  • 醫學影像和診斷
  • 藥物研發
  • 工作流程管理
  • 患者參與解決方案
  • 網路安全
  • 其他應用

第 7 章:市場估計與預測:依最終用途,2021 年至 2032 年

  • 主要趨勢
  • 醫療保健提供者
    • 醫院和診所
    • 診斷中心
    • 其他醫療保健提供者
  • 製藥和生命科學公司
  • 醫療保健付款人

第 8 章:市場估計與預測:按地區,2021 年至 2032 年

  • 主要趨勢
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 西班牙
    • 義大利
    • 荷蘭
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 澳洲
    • 韓國
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • 中東和非洲
    • 南非
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國

第9章:公司簡介

  • 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
簡介目錄
Product Code: 1557

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 - IMG1

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.

Market Scope
Start Year2023
Forecast Year2024-2032
Start Value$18.7 Billion
Forecast Value$317.1 Billion
CAGR37.1%

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