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人工智慧（AI）市場規模、佔有率及成長分析（按組件、應用、技術、最終用戶和地區分類）－醫療保健產業預測（2026-2033年）

市場調查報告書

商品編碼

1895969

人工智慧（AI）市場規模、佔有率及成長分析（按組件、應用、技術、最終用戶和地區分類）－醫療保健產業預測（2026-2033年）

Artificial Intelligence (AI) in Healthcare Market Size, Share, and Growth Analysis, By Component (Hardware, Services), By Application (Robot Assisted Surgery, Virtual Assistants), By Technology, By End User, By Region-Industry Forecast 2026-2033

出版日期: 2025年12月15日 | 出版商:

SkyQuest | 英文 199 Pages | 商品交期: 3-5個工作天內

價格

簡介目錄

預計到 2024 年，全球醫療保健領域的人工智慧 (AI) 市場規模將達到 274.6 億美元，到 2025 年將成長至 377 億美元，到 2033 年將成長至 4761.4 億美元，在預測期（2026-2033 年將成長至 4761.4 億美元，在預測期（2026-2033 年）內複合年成長率為 37.3%。

受對提升患者照護、提高營運效率和降低成本的需求不斷成長的推動，醫療保健領域的人工智慧（AI）市場正經歷強勁成長。醫療保健數據的快速成長、計算能力的提升以及向價值醫療模式的轉變，正推動人工智慧在包括診斷成像、臨床決策支援、藥物研發和病患監測在內的各種應用中得到廣泛應用。人工智慧能夠快速分析大量數據，從而實現疾病的早期發現、個人化治療和更有效率的管理流程。然而，資料隱私、互通性問題和倫理考量等挑戰仍然是人工智慧廣泛應用的障礙。公共和私營部門的持續投資、技術進步和監管改革有望解決這些挑戰，並釋放人工智慧的潛力，從而改變全球醫療保健服務。

全球醫療保健人工智慧 (AI) 市場促進因素

醫療保健數據的快速成長（預計將超過10Zetta位元組）正在推動對超越傳統方法的AI分析的需求。來自電子健康記錄、醫學影像、基因組學、穿戴式裝置和真實世界數據的複雜數據需要先進的分析工具。人工智慧能夠加快診斷速度、增強預測風險評分並實現個人化治療決策，例如梅奧診所與Google健康合作，從而促進疾病的早期發現。透過利用預測分析，人工智慧有望顯著降低醫院再入院率，使不斷成長的數位健康用戶群受益。此外，人工智慧還能提高營運效率，縮短從諮詢到計費的過渡時間。最終，它將醫療保健數據轉化為可執行的洞察，從而有助於改善患者預後和最佳化營運流程。

全球醫療保健人工智慧 (AI) 市場面臨的限制因素

全球醫療保健領域的人工智慧 (AI) 市場面臨著許多挑戰，主要集中在資料隱私和安全方面。人工智慧技術需要大量的患者健康資訊，這使得醫療保健行業更容易遭受網路攻擊，並增加了資料外洩和勒索軟體攻擊的風險。遵守 HIPAA 和 GDPR 等嚴格的法規結構進一步加劇了這個問題，因為這些框架的要求複雜，且資料匿名化技術本身也存在潛在風險，可能導致病患身分被重新識別。此外，患者群體普遍缺乏信任也阻礙了資料共用，許多人由於擔心資訊被濫用而不願提供個人資訊。未來發展需要採用強大的加密技術、區塊鏈解決方案、聯邦學習以及清晰的管治結構來建立倫理準則。人工智慧隱私是未來醫療保健領域創新的基本要求。

全球人工智慧（AI）市場在醫療領域的趨勢

隨著醫療服務提供者加速在包括放射科和病理科在內的各個專科領域採用人工智慧（AI）驅動的診斷工具，全球醫療保健領域的人工智慧市場呈現顯著上升趨勢。對高效、精準診斷的日益重視以及對及時醫療服務持續不斷的壓力，正推動著對旨在早期疾病檢測和改進臨床決策的人工智慧解決方案的投資。從敏捷的Start-Ups到老字型大小企業，隨著市場參與者加速創新，將人工智慧技術融入患者照護的核心，有望重塑醫療服務模式，最大限度地減少診斷錯誤，並最終改善全球患者的治療效果。

診斷和早期檢測
- 體外診斷醫療設備（IVD）
- 診斷影像
- 風險評估和患者分層
- 藥物過敏警報
- 其他診斷和早期檢測功能
治療計劃與個人化
- 個人化治療方案
- 藥物治療
- 手術治療
- 放射治療
- 行為療法和心理療法
- 免疫療法
- 其他治療方案和個人化治療
病人參與和遠端監測
- 症狀管理和遠端醫療支持
- 遠端醫療和遠端患者監護
- 醫療支援機器人
- 服藥提醒
- 患者教育與賦能
- 其他病人參與和遠端監測
治療後後續觀察和復健護理
- 復發監測
- 長期結果預測
- 心理健康支持系統
藥局管理
- 電子處方箋
- 藥物管理
- 藥房審核與分析
- 其他藥局管理功能
數據管理與分析
- 資料整合
- 預測分析
- 即時監控
- 數據視覺化
管理工作
- 病患登記及預約管理
- 患者資格核實和核准
- 帳單和索賠管理
- 人力資源管理
- 供應鏈和庫存管理
- 合規性和文檔
- 醫療工作流程管理
- 資產管理
- 客戶關係管理
- 詐欺偵測和風險管理

全球醫療保健領域人工智慧 (AI) 市場規模（按部署模式和複合年成長率分類）（2026-2033 年）

本地部署模式
雲端基礎模式
混合模式

全球醫療保健領域人工智慧（AI）市場規模（按技術及複合年成長率分類）（2026-2033 年）

機器學習
- 深度學習
- 監督式學習
- 強化學習
- 無監督學習
- 其他機器學習工具
自然語言處理（NLP）
- 情緒分析
- 自動編碼
- 分類與歸類
- 文字分析
- 語音辨識
情境感知計算
- 設備情境
- 使用者情境
- 物理環境
人工智慧世代
模式和影像識別
電腦視覺
影像分析

全球醫療保健領域人工智慧（AI）市場規模（按最終用戶分類）及複合年成長率（2026-2033 年）

醫療保健提供者
醫療保險公司
病人
其他

全球醫療保健領域人工智慧（AI）市場規模（按應用及複合年成長率分類）（2026-2033 年）

機器人輔助手術
虛擬助手
行政工作流程支援系統
互聯醫療設備
醫學影像診斷
臨床試驗
詐欺偵測
網路安全
減少用藥錯誤
精準醫療
藥物發現與開發
生活方式管理和遠端患者監護
穿戴式裝置
其他

全球醫療保健領域人工智慧（AI）市場規模（按地區分類）及複合年成長率（2026-2033）

北美洲
- 美國
- 加拿大
歐洲
- 德國
- 西班牙
- 法國
- 英國
- 義大利
- 其他歐洲地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 亞太其他地區
拉丁美洲
- 巴西
- 墨西哥
- 其他拉丁美洲地區
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

前五大公司對比
主要企業的市場定位（2025 年）
主要市場參與者所採取的策略
近期市場趨勢
公司市佔率分析（2025 年）
主要企業公司簡介
- 公司詳情
- 產品系列分析
- 依業務板塊進行公司股票分析
- 2023-2025年營收年比比較

主要企業簡介

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.

結論與建議

簡介目錄

Product Code: SQMIG35G2090

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.

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