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市場調查報告書
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1663831

醫療保健領域人工智慧市場規模、佔有率及成長分析(按組件、部署模式、技術、功能、最終用戶和地區)—2025-2032 年產業預測

Artificial Intelligence in Healthcare Market Size, Share, Growth Analysis, By Components, By Deployment Model, By Technology, By Function, By End User, By Region - Industry Forecast 2025-2032

出版日期: | 出版商: SkyQuest | 英文 219 Pages | 商品交期: 3-5個工作天內

價格
簡介目錄

2023 年全球醫療保健人工智慧 (AI) 市場規模價值為 119.3 億美元,預計將從 2024 年的 181.8 億美元成長到 2032 年的 5290.6 億美元,預測期內(2025-2032 年)的複合年成長率為 52.4%。

由於迫切需要降低成本和巨量資料的廣泛使用,醫療保健人工智慧市場正在經歷強勁成長。根據 2021 年 1 月的一項研究,全球超過 60% 的醫院已經實施了物聯網技術,預計到 2026 年,人工智慧每年將為美國醫療保健系統節省高達 1500 億美元。此外,預計到 2021 年,醫院每年將在人工智慧技術上投資 66 億美元。對人工智慧的關注不僅旨在最大限度地降低醫療保健成本,而且還推動了對技術整合日益成長的需求。醫療保健領域巨量資料系統的日益普及進一步推動了這一趨勢,使人工智慧成為該行業未來發展的關鍵要素。

目錄

介紹

  • 研究目標
  • 研究範圍
  • 定義

調查方法

  • 資訊採購
  • 資料和主要資料方法
  • 市場規模估算
  • 市場假設與限制

執行摘要

  • 全球市場展望
  • 供需趨勢分析
  • 細分機會分析

市場動態及展望

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

關鍵市場洞察

  • 成功的關鍵要素
  • 競爭程度
  • 頂級投資和閒置頻段機會
  • 2024 年市場吸引力指數
  • 法規、認證和指南
  • 技術採用、優勢和影響
  • 市場生態系映射
  • 價值鏈分析
  • PESTEL 分析
  • 智慧財產權/專利分析
  • 案例研究
  • Start-Ups分析
  • 總體經濟指標

醫療保健領域人工智慧市場規模(按組成部分和複合年成長率) (2025-2032)

  • 市場概況
  • 軟體解決方案
    • 人工智慧平台
    • 人工智慧解決方案
  • 服務
    • 部署和整合
    • 支援和維護
    • 其他(諮詢、合規管理等)

醫療保健領域人工智慧市場規模(按部署模式和複合年成長率) (2025-2032)

  • 市場概況
  • 本地部署模型
  • 雲端基礎模式
  • 混合模式

醫療保健領域人工智慧市場規模(按技術和複合年成長率) (2025-2032)

  • 市場概況
  • 機器學習
    • 深度學習
    • 監督學習
    • 強化學習
    • 無監督學習
    • 半監督學習
  • 自然語言處理 (NLP)
  • 情境感知計算
  • 生成式人工智慧
  • 影像分析
  • 電腦視覺
  • 其他技術

醫療保健領域人工智慧市場規模(按功能和複合年成長率) (2025-2032)

  • 市場概況
  • 診斷和早期檢測
    • 體外診斷 (IVD)
    • 診斷影像
    • 風險評估和患者分層
    • 藥物過敏警告
    • 其他診斷和早期檢測功能
  • 治療計劃和個性化
    • 個人化治療方案
    • 藥物治療
    • 手術治療
    • 放射治療
    • 其他社區動力治療及心理治療
    • 免疫療法
    • 其他治療計劃和個性化
  • 病人參與和遠端監控
    • 症狀管理和虛擬援助
    • 遠端醫療和遠端患者監護
    • 健康照護援助機器人
    • 藥物提醒
    • 患者教育與賦權
    • 病人參與和遠端監控
  • 治療後監測和生存護理
    • 復發監測
    • 長期結果預測
    • 心理健康與支持系統
  • 藥局管理
    • 電子處方
    • 藥物管理
    • 藥房審核與分析
    • 其他藥局管理功能
  • 資料管理與分析
  • 管理功能
    • 病人登記及安排
    • 患者合格和核准
    • 帳單和索賠管理
    • 人才管理
    • 供應鏈和庫存管理
    • 合規性和文檔
    • 醫療保健工作流程管理
    • 資產管理
    • 客戶關係管理 (CRM)
    • 詐騙偵測和風險管理

醫療保健領域人工智慧市場規模(按最終用戶和複合年成長率) (2025-2032)

  • 市場概況
  • 醫療保健提供者
    • 醫院和診所
    • 門診治療中心
    • 家庭保健機構及養老院
    • 診斷與影像中心
    • 藥局
    • 其他醫療保健提供者
  • 醫療保健付款人
    • 公共付款人
    • 私人保險公司
  • 病人
  • 其他

醫療保健領域人工智慧市場規模及複合年成長率(2025-2032)

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 德國
    • 西班牙
    • 法國
    • 英國
    • 義大利
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 其他亞太地區
  • 拉丁美洲
    • 巴西
    • 其他拉丁美洲國家
  • 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 5 名球員對比
  • 2024 年主要企業的市場定位
  • 一級市場公司採用的策略
  • 近期市場趨勢
  • 2024 年公司市場佔有率分析
  • 主要企業簡介
    • 公司簡介
    • 產品系列分析
    • 按細分市場分析市場佔有率
    • 收益與前一年同期比較對比(2022-2024 年)

公司簡介

  • Microsoft
  • Amazon Web Services
  • Oracle Corporation
  • Koninklijke Philips NV
  • Siemens Healthineers AG
  • NVIDIA Corporation
  • GE Healthcare
  • Medtronic
  • Veradigm LLC
  • Alphabet Inc
  • Cognizant
  • Johnson & Johnson
  • SOPHiA GENETICS
  • 3M
  • Tempus
  • Viz.ai
  • Epic Systems Corporation
  • Merative (IBM)
  • Riverain Technologies
  • Terarecon (ConcertAI)
簡介目錄
Product Code: SQMIG35G2090

Global Artificial Intelligence (AI) in Healthcare Market size was valued at USD 11.93 billion in 2023 and is poised to grow from USD 18.18 billion in 2024 to USD 529.06 billion by 2032, growing at a CAGR of 52.4% during the forecast period (2025-2032)..

The healthcare AI market is experiencing robust growth driven by the urgent need to reduce costs and the increasing utilization of big data. A study from January 2021 indicated that over 60% of global hospitals have embraced IoT technologies, and AI is projected to save the U.S. healthcare system up to USD 150 billion annually by 2026. Moreover, hospitals were expected to invest USD 6.6 billion yearly in AI technologies by 2021. This emphasis on AI not only aims to minimize healthcare costs but also fosters a greater demand for technological integration. The rising adoption of big data systems in healthcare further supports this trend, making AI a pivotal component in the evolution of the industry moving forward.

Top-down and bottom-up approaches were used to estimate and validate the size of the 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.

Artificial Intelligence (Ai) In Healthcare Market Segments Analysis

Global Artificial Intelligence (AI) in Healthcare Market is segmented by Components, Deployment Model, Technology, Function, End User and region. Based on Components, the market is segmented into Software Solutions and Services. 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, Image Analysis, Computer Vision and Other Technologied. 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 Functions. Based on End User, the market is segmented into Healthcare Providers, Healthcare Payers, Patients and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Artificial Intelligence (Ai) In Healthcare Market

The Artificial Intelligence (AI) in healthcare market is significantly driven by its ability to enhance diagnostic precision through the analysis of extensive medical data, such as imaging, genetic information, and patient histories. AI technologies can uncover patterns and anomalies that could easily go unnoticed by human clinicians, resulting in quicker and more accurate diagnoses. Additionally, AI supports the advancement of personalized medicine by tailoring treatment plans to the unique data of each patient, thereby optimizing outcomes and minimizing adverse effects. This remarkable capability finds exceptional application in critical fields like oncology, cardiology, and neurology, further fueling market growth.

Restraints in the Artificial Intelligence (Ai) In Healthcare Market

The integration of AI in healthcare faces notable challenges due to the substantial initial investments needed for technology, infrastructure, and workforce training. The process of developing and incorporating AI solutions into established healthcare systems is often complex and demands significant resources. This can create considerable difficulties for smaller healthcare providers, particularly those located in rural or underserved regions, who may find it hard to overcome the financial and technical obstacles associated with implementing AI technologies. Consequently, these high costs and challenges serve as a deterrent, contributing to the sluggish pace of AI adoption within the healthcare sector.

Market Trends of the Artificial Intelligence (Ai) In Healthcare Market

The increasing prevalence of chronic diseases is significantly influencing the growth of the Artificial Intelligence (AI) in Healthcare market. With projections of nearly 1.9 million new cancer cases in 2022 alone, as reported by the American Cancer Society, the urgency for advanced diagnostic and treatment solutions is more pronounced than ever. This rising incidence of chronic illnesses, including prostate, lung, and breast cancer, necessitates the adoption of AI technologies aimed at enhancing early disease detection and precision medicine. Consequently, industry players are responding with innovative product launches, driving demand for AI solutions that improve patient outcomes and streamline healthcare processes, marking a vital trend in the sector.

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 And White Space Opportunities
  • Market Attractiveness Index, 2024
  • Regulations, Certifications, And Guidelines
  • Technology Adoptions, Benefits And Impacts
  • Market Ecosystem Mapping
  • Value Chain Analysis
  • Pestel Analysis
  • Ip/Patent Analysis
  • Case Studies
  • Start-Up Analysis
  • Macro-Economic Indicators

Global AI in Healthcare Market Size by Components & CAGR (2025-2032)

  • Market Overview
  • Software Solutions
    • AI Platform
    • AI Solutions
  • Services
    • Deployment & Integration
    • Support & Maintenance
    • Others (Consulting, Compliance Management, etc.)

Global AI in Healthcare Market Size by Deployment Model & CAGR (2025-2032)

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

Global AI in Healthcare Market Size by Technology & CAGR (2025-2032)

  • Market Overview
  • Machine Learning
    • Deep Learning
    • Supervised Learning
    • Reinforcement Learning
    • Unsupervised Learning
    • Semi-Supervised Learning
  • Natural Language Processing (NLP)
  • Context-Aware Computing
  • Generative AI
  • Image Analysis
  • Computer Vision
  • Other Technologies

Global AI in Healthcare Market Size by Function & CAGR (2025-2032)

  • Market Overview
  • Diagnosis & Early Detection
    • In Vitro Diagnostics (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
  • Administrative Functions
    • 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 (CRM)
    • Fraud Detection & Risk Management

Global AI in Healthcare Market Size by End User & CAGR (2025-2032)

  • Market Overview
  • Healthcare Providers
    • Hospitals & Clinics
    • Ambulatory Care Centers
    • Home Healthcare Agencies & Assisted Living Facilities
    • Diagnostic & Imaging Centers
    • Pharmacies
    • Other Healthcare Providers
  • Healthcare Payers
    • Public Payers
    • Private Payers
  • Patients
  • Others

Global AI in Healthcare Market Size & CAGR (2025-2032)

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

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2024
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2024
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

  • Microsoft
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Amazon Web Services
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Oracle Corporation
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Koninklijke Philips N.V.
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Siemens Healthineers AG
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • NVIDIA Corporation
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • GE Healthcare
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Medtronic
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Veradigm LLC
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Alphabet Inc
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Cognizant
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Johnson & Johnson
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SOPHiA GENETICS
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • 3M
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Tempus
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Viz.ai
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Epic Systems Corporation
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Merative (IBM)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Riverain Technologies
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Terarecon (ConcertAI)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments