封面
市场调查报告书
商品编码
1663831

医疗保健领域人工智慧市场规模、份额及成长分析(按组件、部署模式、技术、功能、最终用户和地区)—2025-2032 年产业预测

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个工作天内

价格
简介目录

2023 年全球医疗保健人工智慧 (AI) 市场规模价值为 119.3 亿美元,预计将从 2024 年的 181.8 亿美元增长到 2032 年的 5290.6 亿美元,预测期内(2025-2032 年)的复合年增长率为 52.4%。

由于迫切需要降低成本和巨量资料的广泛使用,医疗保健人工智慧市场正在经历强劲成长。根据 2021 年 1 月的一项研究,全球超过 60% 的医院已经实施了物联网技术,预计到 2026 年,人工智慧每年将为美国医疗保健系统节省高达 1500 亿美元。此外,预计到 2021 年,医院每年将在人工智慧技术上投资 66 亿美元。对人工智慧的关注不仅旨在最大限度地降低医疗保健成本,而且还推动了对技术整合日益增长的需求。医疗保健领域巨量资料系统的日益普及进一步推动了这一趋势,使人工智慧成为该行业未来发展的关键要素。

目录

介绍

  • 研究目标
  • 研究范围
  • 定义

调查方法

  • 资讯采购
  • 资料和主要资料方法
  • 市场规模估算
  • 市场假设与限制

执行摘要

  • 全球市场展望
  • 供需趋势分析
  • 细分机会分析

市场动态及展望

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

关键市场洞察

  • 成功的关键要素
  • 竞争程度
  • 顶级投资和閒置频段机会
  • 2024 年市场吸引力指数
  • 法规、认证和指南
  • 技术采用、优势和影响
  • 市场生态系映射
  • 价值链分析
  • PESTEL 分析
  • 智慧财产权/专利分析
  • 案例研究
  • Start-Ups分析
  • 总体经济指标

医疗保健领域人工智慧市场规模(按组成部分和复合年增长率) (2025-2032)

  • 市场概况
  • 软体解决方案
    • 人工智慧平台
    • 人工智慧解决方案
  • 服务
    • 部署和集成
    • 支援和维护
    • 其他(咨询、合规管理等)

医疗保健领域人工智慧市场规模(按部署模式和复合年增长率) (2025-2032)

  • 市场概况
  • 本地部署模型
  • 云端基础模式
  • 混合模式

医疗保健领域人工智慧市场规模(按技术和复合年增长率) (2025-2032)

  • 市场概况
  • 机器学习
    • 深度学习
    • 监督学习
    • 强化学习
    • 无监督学习
    • 半监督学习
  • 自然语言处理 (NLP)
  • 情境感知计算
  • 生成式人工智慧
  • 影像分析
  • 电脑视觉
  • 其他技术

医疗保健领域人工智慧市场规模(按功能和复合年增长率) (2025-2032)

  • 市场概况
  • 诊断和早期检测
    • 体外诊断 (IVD)
    • 诊断影像
    • 风险评估和患者分层
    • 药物过敏警告
    • 其他诊断和早期检测功能
  • 治疗计划和个性化
    • 个人化治疗方案
    • 药物治疗
    • 手术治疗
    • 放射治疗
    • 其他社区动力治疗及心理治疗
    • 免疫疗法
    • 其他治疗计划和个性化
  • 病人参与和远端监控
    • 症状管理和虚拟援助
    • 远端医疗和远端患者监护
    • 健康照护援助机器人
    • 药物提醒
    • 患者教育与赋权
    • 病人参与和远端监控
  • 治疗后监测和生存护理
    • 復发监测
    • 长期结果预测
    • 心理健康与支持系统
  • 药局管理
    • 电子处方
    • 药物管理
    • 药房审核与分析
    • 其他药局管理功能
  • 资料管理与分析
  • 管理功能
    • 病人登记及安排
    • 患者合格和核准
    • 帐单和索赔管理
    • 人才管理
    • 供应链和库存管理
    • 合规性和文檔
    • 医疗保健工作流程管理
    • 资产管理
    • 客户关係管理 (CRM)
    • 诈骗侦测和风险管理

医疗保健领域人工智慧市场规模(按最终用户和复合年增长率) (2025-2032)

  • 市场概况
  • 医疗保健提供者
    • 医院和诊所
    • 门诊治疗中心
    • 家庭保健机构及养老院
    • 诊断与影像中心
    • 药局
    • 其他医疗保健提供者
  • 医疗保健付款人
    • 公共付款人
    • 私人保险公司
  • 病人
  • 其他的

医疗保健领域人工智慧市场规模及复合年增长率(2025-2032)

  • 北美洲
    • 美国
    • 加拿大
  • 欧洲
    • 德国
    • 西班牙
    • 法国
    • 英国
    • 义大利
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 其他亚太地区
  • 拉丁美洲
    • 巴西
    • 其他拉丁美洲国家
  • 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 5 名球员对比
  • 2024 年主要企业的市场定位
  • 一级市场公司采用的策略
  • 近期市场趋势
  • 2024 年公司市场占有率分析
  • 主要企业简介
    • 公司简介
    • 产品系列分析
    • 按细分市场分析市场份额
    • 收益与前一年同期比较对比(2022-2024 年)

公司简介

  • 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)
简介目录
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