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市場調查報告書
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2102676

2034 年醫療保健領域基於代理的人工智慧市場預測—全球分析：按組件、技術、應用、連接方式、醫院類型、部署模式、最終用戶和地區分類

Agentic AI in Healthcare Market Forecasts To 2034 - Global Analysis Component (Hardware, Software, Services), Technology, Application, Connectivity, Hospital Type, Deployment Mode, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球醫療保健領域基於代理的 AI 市場規模將達到 9 億美元，在預測期內以 6.2% 的複合年成長率成長，到 2034 年將達到 14 億美元。

隨著醫療服務提供者採用自主人工智慧解決方案來簡化醫療運作、輔助臨床決策並提供更有效率的患者照護，醫療保健領域的基於代理的人工智慧市場正在迅速擴張。智慧人工智慧代理擴大用於記錄保存、遠端監控、日程安排、治療建議和自動化行政任務，從而減輕醫療專業人員的手動工作量。人工智慧技術、數位醫療平台和雲端基礎設施的持續進步正在推動整個產業的更廣泛應用。對精準醫療、營運效率和智慧醫療管理日益成長的需求預計將進一步推動全球醫療保健生態系統中該市場的長期成長。

個別化患者照護的廣泛應用

在醫療產業，基於代理的人工智慧（AI）的應用正在不斷擴展，以支持根據患者個別特徵（包括病歷、基因資訊、生活方式和持續健康數據）制定個人化治療方案。 AI代理能夠處理複雜的資料集並產生建議，幫助臨床醫生提供更精準的治療。這種個人化方法可以提高患者滿意度，提升治療成功率，並促進更好的疾病管理。隨著醫療服務提供者優先考慮精準醫療和以結果為導向的照護模式，對能夠根據每位患者需求調整建議的智慧系統的需求持續成長，從而推動了基於代理的AI醫療保健市場的擴張。

高昂的實施和整合成本

實施基於代理的人工智慧的高昂成本對醫療機構構成了重大障礙。成功實施需要對運算基礎設施、人工智慧軟體、網路安全措施、系統整合和員工培訓進行投資。將智慧平台與現有醫療技術（例如電子健康記錄和醫院管理系統）整合通常涉及複雜的技術工作和額外的成本。小規模的醫療機構可能難以撥出足夠的資源來進行這些工作。持續的維護、升級和合規性要求也會增加總成本，這限制了技術預算有限的機構採用該技術，儘管它具有提高效率的潛力。

新興市場醫療人工智慧的擴展

開發中國家醫療保健的快速數位化為基於代理的人工智慧醫療保健市場帶來了巨大的機會。隨著各國政府致力於提高醫療保健服務的可近性和質量，對數位化醫院、遠端醫療平台、電子健康記錄和智慧醫療技術的投資也在穩步成長。基於代理的人工智慧可以支援更恰當的臨床決策，緩解勞動力短缺問題，並提升醫療資源匱乏地區的醫療保健服務水準。公共和私營部門資金籌措的增加，加上不斷擴展的數位基礎設施和支援性醫療保健政策，預計將加速全球新興醫療保健市場對自主人工智慧解決方案的採用。

激烈的市場競爭和技術過時

人工智慧開發商、醫療技術公司和新興創業公司之間日益激烈的競爭，對基於代理的人工智慧醫療保健市場構成了重大挑戰。隨著技術的快速發展，各機構必須不斷改進產品才能保持競爭力。未能跟上創新步伐的公司可能會面臨市場佔有率下降和​​客戶信任度喪失的風險。此外，醫療保健提供者可能需要更換或升級過時的人工智慧平台以維持效能和合規性，從而增加成本。快速創新和競爭壓力持續威脅著全球基於代理的人工智慧醫療產業的長期盈利和永續成長。

新型冠狀病毒（COVID-19）的影響：

疫情迫使醫療系統依賴智慧技術來應對前所未有的臨床和營運壓力，從而顯著提升了對基於代理的人工智慧的需求。人工智慧解決方案被廣泛應用於遠端患者監護、虛擬護理、自動化文件記錄、病患優先排序和醫療工作流程管理，減輕了醫護人員的負擔。數位醫療服務的普及進一步推動了醫院和診所採用自主人工智慧平台。在此期間，對預測分析和臨床決策支援的投資也大幅成長。這些經驗凸顯了人工智慧驅動的自動化技術的戰略重要性，並支撐著全球基於代理的人工智慧醫療市場的持續成長。

在預測期內，軟體領域預計將佔據最大的市場佔有率。

預計在預測期內，軟體領域將佔據最大的市場佔有率，因為它構成了支援智慧自動化、臨床決策和醫療工作流程最佳化的核心平台。先進的軟體解決方案可與電子健康記錄、診斷應用、影像平台和病患監測系統無縫整合，從而實現高效的數據分析和營運管理。人工智慧、雲端運算技術和機器學習領域的持續創新正在推動軟體效能、擴充性和互通性的提升。這些能力有助於醫療機構提高效率、支持個人化護理並加速數位轉型，從而鞏固軟體在基於代理的人工智慧醫療市場中的主導地位。

預計在預測期內，藥物發現和臨床研究領域將呈現最高的複合年成長率。

在預測期內，「藥物發現與臨床研究」領域預計將呈現最高的成長率，這主要得益於市場對加速藥物創新和簡化臨床開發流程日益成長的需求。基於智慧體的AI能夠自主分析大規模生物醫學資料集，識別有前景的候選藥物，最佳化臨床試驗設計，並實現研究工作流程的自動化。這些功能有助於縮短研發週期，同時提高研究的準確性和營運效率。對精準醫療、生物技術和生命科學研究投入的增加，進一步推動了智慧AI代理的應用。隨著製藥公司致力於加速治療創新，預計該領域在整個預測期內將快速成長。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這得益於其完善的醫療保健系統、強大的AI（人工智慧）能力以及數位醫療技術的高普及率。對AI研發的大力投入、電子健康記錄的廣泛應用以及對雲端醫療平台的持續投資，都推動了自主AI解決方案的廣泛採用。該地區的醫療服務提供者正積極採用智慧系統來提高營運效率、臨床決策能力和患者照護。科技公司、醫療機構和研究機構之間持續不斷的合作，進一步鞏固了該地區在全球基於代理商的AI醫療保健市場的主導地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於醫療保健系統數位轉型加速以及對智慧技術投資的不斷成長。該地區人工智慧驅動的醫療保健平台、智慧醫療設施、雲端解決方案和數位化患者管理系統的應用日益普及。政府的支持、不斷擴大的醫療基礎設施以及人們對人工智慧臨床應用的日益關注，都推動了這些技術的廣泛應用。經濟的快速發展、醫療保健支出的成長以及科技公司與醫療服務提供者之間合作的加強，進一步推動了市場需求，使亞太地區成為醫療保健領域基於代理的人工智慧成長最快的區域市場。

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  • 區域分類
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    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章：全球醫療保健領域基於代理的人工智慧市場：按組件分類

  • 軟體
  • 服務

第6章：全球醫療保健領域以代理為基礎的人工智慧市場：按代理類型分類

  • 臨床藥物
  • 管理代理
  • 病人參與代理
  • 調查員
  • 多智慧體系統

第7章：全球醫療保健領域基於代理的人工智慧市場：按部署模式分類

  • 基於雲端的
  • 現場
  • 混合

第8章：全球醫療保健領域基於代理的人工智慧市場：按技術分類

  • 大規模語言模型（LLM）
  • 機器學習
  • 自然語言處理（NLP）
  • 電腦視覺
  • 知識圖譜
  • 強化學習

第9章：全球醫療保健領域基於代理的人工智慧市場：按應用領域分類

  • 臨床決策支持
  • 醫學診斷
  • 醫療文件
  • 病患監測
  • 護理協調
  • 藥物發現與臨床研究
  • 醫院工作流程自動化
  • 收入周期管理

第10章：全球醫療保健領域基於代理的人工智慧市場：按最終用戶分類

  • 醫院和醫療保健系統
  • 診所和私人診所
  • 製藥和生物技術公司
  • 診斷檢查室
  • 健康保險公司
  • 研究和學術機構

第11章：全球醫療保健領域基於代理的人工智慧市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第12章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第13章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第14章：公司簡介

  • Microsoft Corporation
  • Google LLC
  • Amazon Web Services, Inc.
  • Oracle Corporation
  • IBM Corporation
  • NVIDIA Corporation
  • GE HealthCare
  • Siemens Healthineers AG
  • Koninklijke Philips NV
  • Epic Systems Corporation
  • Aidoc
  • Abridge AI, Inc.
  • Hippocratic AI
  • Innovaccer Inc.
  • Tempus AI, Inc.
  • PathAI
  • Nabla Technologies
  • CodaMetrix
Product Code: SMRC38434

According to Stratistics MRC, the Global Agentic AI in Healthcare Market is accounted for $0.9 billion in 2026 and is expected to reach $1.4 billion by 2034 growing at a CAGR of 6.2% during the forecast period. The Agentic AI in Healthcare market is expanding rapidly as healthcare providers integrate autonomous artificial intelligence solutions to streamline medical operations, support clinical decisions, and deliver more efficient patient care. Intelligent AI agents are increasingly used for documentation, remote monitoring, scheduling, treatment recommendations, and administrative automation, reducing manual workloads for healthcare professionals. Continuous advancements in AI technologies, digital healthcare platforms, and cloud infrastructure are driving broader adoption across the industry. Increasing demand for precision medicine, operational efficiency, and intelligent healthcare management is expected to reinforce the market's long-term growth across global healthcare ecosystems.

Market Dynamics:

Driver:

Increasing Adoption of Personalized Patient Care

The healthcare industry is increasingly using agentic AI to support customized treatment plans based on individual patient characteristics, including medical history, genetic information, lifestyle habits, and ongoing health data. AI agents process complex datasets to generate recommendations that assist clinicians in delivering more targeted therapies. This personalized approach enhances patient satisfaction, improves treatment success, and encourages better disease management. As healthcare providers prioritize precision medicine and outcome-focused care models, demand for intelligent systems capable of adapting recommendations to each patient's needs continues to grow, strengthening the expansion of the agentic AI healthcare market.

Restraint:

High Implementation and Integration Costs

The significant expense associated with implementing agentic AI represents a major barrier for healthcare organizations. Successful deployment requires investments in computing infrastructure, AI software, cybersecurity measures, system integration, and employee training. Connecting intelligent platforms with existing healthcare technologies, including electronic medical records and hospital management systems, often involves complex technical work and additional costs. Smaller providers may struggle to allocate sufficient financial resources for these initiatives. Continuous maintenance, upgrades, and regulatory compliance also contribute to overall expenses, limiting adoption among organizations with restricted technology budgets despite the potential efficiency benefits.

Opportunity:

Expansion of Healthcare AI in Emerging Markets

Rapid healthcare digitization across developing economies presents substantial opportunities for the agentic AI healthcare market. Investments in digital hospitals, telehealth platforms, electronic health records, and intelligent healthcare technologies are increasing steadily as governments seek to improve healthcare access and quality. Agentic AI can support better clinical decision-making, reduce workforce shortages, and strengthen healthcare services in regions with limited medical resources. Growing public and private sector funding, combined with expanding digital infrastructure and supportive healthcare policies, is expected to accelerate adoption of autonomous AI solutions throughout emerging healthcare markets globally.

Threat:

Intense Market Competition and Technology Obsolescence

Growing competition among AI developers, healthcare technology companies, and emerging startups presents a considerable challenge for the agentic AI healthcare market. Frequent technological advancements require organizations to continuously improve their products to remain competitive. Companies that cannot keep pace with innovation may experience declining market presence and reduced customer confidence. Healthcare providers may also face additional expenses when replacing or upgrading older AI platforms to maintain performance and compliance. Rapid innovation and competitive pressure continue to threaten long-term profitability and sustainable growth across the global agentic AI healthcare industry.

Covid-19 Impact:

The pandemic significantly increased demand for agentic AI as healthcare systems relied on intelligent technologies to address unprecedented clinical and operational pressures. AI-driven solutions were widely adopted for remote patient monitoring, virtual care, automated documentation, patient prioritization, and healthcare workflow management, reducing the burden on medical professionals. The widespread adoption of digital healthcare services further encouraged the implementation of autonomous AI platforms across hospitals and clinics. Investments in predictive analytics and clinical decision support also expanded during this period. The experience highlighted the strategic importance of AI-enabled automation, supporting sustained growth in the global agentic AI healthcare market.

The Software segment is expected to be the largest during the forecast period

The Software segment is expected to account for the largest market share during the forecast period, because it forms the core platform that powers intelligent automation, clinical decision-making, and healthcare workflow optimization. Advanced software solutions seamlessly connect with electronic health records, diagnostic applications, imaging platforms, and patient monitoring systems, enabling efficient data analysis and operational management. Ongoing innovations in artificial intelligence, cloud technologies, and machine learning continue to improve software performance, scalability, and interoperability. These capabilities help healthcare organizations enhance efficiency, support personalized treatment, and accelerate digital transformation, reinforcing software as the leading segment within the agentic AI healthcare market.

The Drug Discovery & Clinical Research segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the Drug Discovery & Clinical Research segment is predicted to witness the highest growth rate, due to increasing demand for faster pharmaceutical innovation and more efficient clinical development processes. Agentic AI enables autonomous analysis of large biomedical datasets, identification of promising drug candidates, optimization of clinical trial design, and automation of research workflows. These capabilities reduce development timelines while improving research accuracy and operational efficiency. Growing investments in precision medicine, biotechnology, and life sciences research further support adoption of intelligent AI agents. As pharmaceutical companies seek to accelerate therapeutic innovation, this segment is expected to experience rapid expansion throughout the forecast period.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, because of its well-established healthcare systems, robust artificial intelligence capabilities, and high adoption of digital healthcare technologies. Strong funding for AI development, extensive use of electronic health records, and continuous investments in cloud-based healthcare platforms support widespread implementation of autonomous AI solutions. Healthcare providers across the region are actively integrating intelligent systems to improve operational efficiency, clinical decision-making, and patient care. Ongoing partnerships between technology companies, healthcare institutions, and research organizations continue to reinforce the region's leadership in the global Agentic AI in Healthcare market.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to accelerating digital transformation across healthcare systems and growing investments in intelligent technologies. The region is experiencing increasing adoption of AI-powered healthcare platforms, smart medical facilities, cloud-based solutions, and digital patient management systems. Supportive government initiatives, expanding healthcare infrastructure, and greater awareness of AI-driven clinical applications are encouraging widespread implementation. Rapid economic development, rising healthcare expenditure, and stronger partnerships between technology companies and healthcare organizations are further driving demand, positioning Asia Pacific as the fastest-growing regional market for agentic AI in healthcare.

Key players in the market

Some of the key players in Agentic AI in Healthcare Market include Microsoft Corporation, Google LLC, Amazon Web Services, Inc., Oracle Corporation, IBM Corporation, NVIDIA Corporation, GE HealthCare, Siemens Healthineers AG, Koninklijke Philips N.V., Epic Systems Corporation, Aidoc, Abridge AI, Inc., Hippocratic AI, Innovaccer Inc., Tempus AI, Inc., PathAI, Nabla Technologies, and CodaMetrix.

Key Developments:

In June 2026, Lloyds Banking Group has expanded its partnership with Microsoft to scale agentic AI across the organisation and deliver more personalised services to its 28 million customers.

In April 2026, Accenture (NYSE: ACN) and Google Cloud announced a significant expansion of their partnership, with the launch of a first-of-its-kind program focused on helping enterprises drive AI-powered reinvention and business value faster and at scale.

Components Covered:

  • Software
  • Services

Agent Types Covered:

  • Clinical Agents
  • Administrative Agents
  • Patient Engagement Agents
  • Research Agents
  • Multi-Agent Systems

Deployment Modes Covered:

  • Cloud-Based
  • On-Premises
  • Hybrid

Technologies Covered:

  • Large Language Models (LLMs)
  • Machine Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Knowledge Graphs
  • Reinforcement Learning

Applications Covered:

  • Clinical Decision Support
  • Medical Diagnosis
  • Medical Documentation
  • Patient Monitoring
  • Care Coordination
  • Drug Discovery & Clinical Research
  • Hospital Workflow Automation
  • Revenue Cycle Management

End Users Covered:

  • Hospitals & Health Systems
  • Clinics & Physician Practices
  • Pharmaceutical & Biotechnology Companies
  • Diagnostic Laboratories
  • Health Insurance Companies
  • Research & Academic Institutes

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Agentic AI in Healthcare Market, By Component

  • 5.1 Software
  • 5.2 Services

6 Global Agentic AI in Healthcare Market, By Agent Type

  • 6.1 Clinical Agents
  • 6.2 Administrative Agents
  • 6.3 Patient Engagement Agents
  • 6.4 Research Agents
  • 6.5 Multi-Agent Systems

7 Global Agentic AI in Healthcare Market, By Deployment Mode

  • 7.1 Cloud-Based
  • 7.2 On-Premises
  • 7.3 Hybrid

8 Global Agentic AI in Healthcare Market, By Technology

  • 8.1 Large Language Models (LLMs)
  • 8.2 Machine Learning
  • 8.3 Natural Language Processing (NLP)
  • 8.4 Computer Vision
  • 8.5 Knowledge Graphs
  • 8.6 Reinforcement Learning

9 Global Agentic AI in Healthcare Market, By Application

  • 9.1 Clinical Decision Support
  • 9.2 Medical Diagnosis
  • 9.3 Medical Documentation
  • 9.4 Patient Monitoring
  • 9.5 Care Coordination
  • 9.6 Drug Discovery & Clinical Research
  • 9.7 Hospital Workflow Automation
  • 9.8 Revenue Cycle Management

10 Global Agentic AI in Healthcare Market, By End User

  • 10.1 Hospitals & Health Systems
  • 10.2 Clinics & Physician Practices
  • 10.3 Pharmaceutical & Biotechnology Companies
  • 10.4 Diagnostic Laboratories
  • 10.5 Health Insurance Companies
  • 10.6 Research & Academic Institutes

11 Global Agentic AI in Healthcare Market, By Geography

  • 11.1 North America
    • 11.1.1 United States
    • 11.1.2 Canada
    • 11.1.3 Mexico
  • 11.2 Europe
    • 11.2.1 United Kingdom
    • 11.2.2 Germany
    • 11.2.3 France
    • 11.2.4 Italy
    • 11.2.5 Spain
    • 11.2.6 Netherlands
    • 11.2.7 Belgium
    • 11.2.8 Sweden
    • 11.2.9 Switzerland
    • 11.2.10 Poland
    • 11.2.11 Rest of Europe
  • 11.3 Asia Pacific
    • 11.3.1 China
    • 11.3.2 Japan
    • 11.3.3 India
    • 11.3.4 South Korea
    • 11.3.5 Australia
    • 11.3.6 Indonesia
    • 11.3.7 Thailand
    • 11.3.8 Malaysia
    • 11.3.9 Singapore
    • 11.3.10 Vietnam
    • 11.3.11 Rest of Asia Pacific
  • 11.4 South America
    • 11.4.1 Brazil
    • 11.4.2 Argentina
    • 11.4.3 Colombia
    • 11.4.4 Chile
    • 11.4.5 Peru
    • 11.4.6 Rest of South America
  • 11.5 Rest of the World (RoW)
    • 11.5.1 Middle East
      • 11.5.1.1 Saudi Arabia
      • 11.5.1.2 United Arab Emirates
      • 11.5.1.3 Qatar
      • 11.5.1.4 Israel
      • 11.5.1.5 Rest of Middle East
    • 11.5.2 Africa
      • 11.5.2.1 South Africa
      • 11.5.2.2 Egypt
      • 11.5.2.3 Morocco
      • 11.5.2.4 Rest of Africa

12 Strategic Market Intelligence

  • 12.1 Industry Value Network and Supply Chain Assessment
  • 12.2 White-Space and Opportunity Mapping
  • 12.3 Product Evolution and Market Life Cycle Analysis
  • 12.4 Channel, Distributor, and Go-to-Market Assessment

13 Industry Developments and Strategic Initiatives

  • 13.1 Mergers and Acquisitions
  • 13.2 Partnerships, Alliances, and Joint Ventures
  • 13.3 New Product Launches and Certifications
  • 13.4 Capacity Expansion and Investments
  • 13.5 Other Strategic Initiatives

14 Company Profiles

  • 14.1 Microsoft Corporation
  • 14.2 Google LLC
  • 14.3 Amazon Web Services, Inc.
  • 14.4 Oracle Corporation
  • 14.5 IBM Corporation
  • 14.6 NVIDIA Corporation
  • 14.7 GE HealthCare
  • 14.8 Siemens Healthineers AG
  • 14.9 Koninklijke Philips N.V.
  • 14.10 Epic Systems Corporation
  • 14.11 Aidoc
  • 14.12 Abridge AI, Inc.
  • 14.13 Hippocratic AI
  • 14.14 Innovaccer Inc.
  • 14.15 Tempus AI, Inc.
  • 14.16 PathAI
  • 14.17 Nabla Technologies
  • 14.18 CodaMetrix

List of Tables

  • Table 1 Global Agentic AI in Healthcare Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Agentic AI in Healthcare Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global Agentic AI in Healthcare Market Outlook, By Software (2023-2034) ($MN)
  • Table 4 Global Agentic AI in Healthcare Market Outlook, By Services (2023-2034) ($MN)
  • Table 5 Global Agentic AI in Healthcare Market Outlook, By Agent Type (2023-2034) ($MN)
  • Table 6 Global Agentic AI in Healthcare Market Outlook, By Clinical Agents (2023-2034) ($MN)
  • Table 7 Global Agentic AI in Healthcare Market Outlook, By Administrative Agents (2023-2034) ($MN)
  • Table 8 Global Agentic AI in Healthcare Market Outlook, By Patient Engagement Agents (2023-2034) ($MN)
  • Table 9 Global Agentic AI in Healthcare Market Outlook, By Research Agents (2023-2034) ($MN)
  • Table 10 Global Agentic AI in Healthcare Market Outlook, By Multi-Agent Systems (2023-2034) ($MN)
  • Table 11 Global Agentic AI in Healthcare Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 12 Global Agentic AI in Healthcare Market Outlook, By Cloud-Based (2023-2034) ($MN)
  • Table 13 Global Agentic AI in Healthcare Market Outlook, By On-Premises (2023-2034) ($MN)
  • Table 14 Global Agentic AI in Healthcare Market Outlook, By Hybrid (2023-2034) ($MN)
  • Table 15 Global Agentic AI in Healthcare Market Outlook, By Technology (2023-2034) ($MN)
  • Table 16 Global Agentic AI in Healthcare Market Outlook, By Large Language Models (LLMs) (2023-2034) ($MN)
  • Table 17 Global Agentic AI in Healthcare Market Outlook, By Machine Learning (2023-2034) ($MN)
  • Table 18 Global Agentic AI in Healthcare Market Outlook, By Natural Language Processing (NLP) (2023-2034) ($MN)
  • Table 19 Global Agentic AI in Healthcare Market Outlook, By Computer Vision (2023-2034) ($MN)
  • Table 20 Global Agentic AI in Healthcare Market Outlook, By Knowledge Graphs (2023-2034) ($MN)
  • Table 21 Global Agentic AI in Healthcare Market Outlook, By Reinforcement Learning (2023-2034) ($MN)
  • Table 22 Global Agentic AI in Healthcare Market Outlook, By Application (2023-2034) ($MN)
  • Table 23 Global Agentic AI in Healthcare Market Outlook, By Clinical Decision Support (2023-2034) ($MN)
  • Table 24 Global Agentic AI in Healthcare Market Outlook, By Medical Diagnosis (2023-2034) ($MN)
  • Table 25 Global Agentic AI in Healthcare Market Outlook, By Medical Documentation (2023-2034) ($MN)
  • Table 26 Global Agentic AI in Healthcare Market Outlook, By Patient Monitoring (2023-2034) ($MN)
  • Table 27 Global Agentic AI in Healthcare Market Outlook, By Care Coordination (2023-2034) ($MN)
  • Table 28 Global Agentic AI in Healthcare Market Outlook, By Drug Discovery & Clinical Research (2023-2034) ($MN)
  • Table 29 Global Agentic AI in Healthcare Market Outlook, By Hospital Workflow Automation (2023-2034) ($MN)
  • Table 30 Global Agentic AI in Healthcare Market Outlook, By Revenue Cycle Management (2023-2034) ($MN)
  • Table 31 Global Agentic AI in Healthcare Market Outlook, By Hospitals & Health Systems (2023-2034) ($MN)
  • Table 32 Global Agentic AI in Healthcare Market Outlook, By Clinics & Physician Practices (2023-2034) ($MN)
  • Table 33 Global Agentic AI in Healthcare Market Outlook, By Pharmaceutical & Biotechnology Companies (2023-2034) ($MN)
  • Table 34 Global Agentic AI in Healthcare Market Outlook, By Diagnostic Laboratories (2023-2034) ($MN)
  • Table 35 Global Agentic AI in Healthcare Market Outlook, By Health Insurance Companies (2023-2034) ($MN)
  • Table 36 Global Agentic AI in Healthcare Market Outlook, By Research & Academic Institutes (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.