의료용 에이전트형 AI 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

The global agentic AI in healthcare market report size is expected to reach USD 17861.24 Million in 2034 from USD 538.51 Million in 2025, growing at a CAGR of 47.56 during 2026-2034.This market is witnessing rapid growth as providers seek smarter systems to improve patient care and operational efficiency. Agentic AI can autonomously schedule appointments, support diagnostics, monitor patients, and streamline hospital workflows. Rising healthcare costs, aging populations, and increasing digital health adoption are contributing to market expansion.

Key growth drivers include the need for faster diagnosis and better resource utilization. Agentic AI can analyze medical records, imaging scans, and patient histories to assist clinicians in making informed decisions. Hospitals also use AI agents for bed management, claims processing, and remote patient monitoring. These capabilities help reduce administrative burden and improve service quality.

The future outlook is highly promising as healthcare systems continue modernizing globally. Agentic AI is expected to enable personalized treatment planning, predictive disease management, and virtual care coordination. With stronger regulations and trust in AI systems, adoption across hospitals, insurers, and pharmaceutical companies is likely to accelerate significantly in the years ahead.

Our reports are carefully developed to deliver comprehensive and actionable insights across a wide range of industries and markets. Each report includes several essential components designed to provide a complete understanding of the market environment:

Market Overview: This section provides a clear introduction to the market, including key definitions, classifications, and an overview of the current industry landscape.

Market Dynamics: A detailed evaluation of the primary drivers, restraints, opportunities, and challenges shaping market growth. It covers factors such as technological developments, regulatory frameworks, and evolving industry trends.

Segmentation Analysis: A structured breakdown of the market into key segments based on product type, application, end-user, and geographic region. This section highlights the performance, growth potential, and contribution of each segment.

Competitive Landscape: An in-depth assessment of leading market participants, including their market positioning, product portfolios, strategic initiatives, and financial performance. It provides valuable insights into competitive dynamics and the strategies adopted by key players.

Market Forecast: Data-driven projections of market size and growth patterns over a defined forecast period. This section incorporates historical trends, current market conditions, and quantitative analysis to illustrate expected future developments.

Regional Analysis: A comprehensive review of market performance across major geographic regions, identifying high-growth areas and regional trends to better understand localized market opportunities.

Emerging Trends and Opportunities: Identification of significant market trends, technological advancements, and new investment opportunities. This section highlights potential growth areas and future industry developments.

Customization Options: We offer flexible customization services to tailor reports according to specific client requirements. This may include additional segmentation, country-level analysis, competitor profiling, customized data points, or focused insights on particular market segments to better support strategic decision-making.

MARKET SEGMENTATION

By Agent System

• Single Agent Systems
• Multi Agent Systems

By Product

• Ready-to-Deploy Agents
• Build-Your-Own Agents

By Technology

• Machine Learning (Deep Learning, Supervised, Unsupervised, Others (Reinforcement Learning, Semi-supervised))
• Natural Language Processing (Smart Assistance, OCR (Optical Character Recognition), Auto Coding, Text Analytics, Speech Analytics, Classification & Categorization)
• Context-aware Computing
• Computer Vision

By Application

• Medical Imaging
• Personalized Treatment & Drug Discovery
• Electronic Health Records (EHRs)
• Remote Patient Care
• Clinical Decision-Making
• Risk Prediction & Pandemic Preparedness
• Genomic Data Analysis
• Chronic Disease Management
• Hospital Resource Optimization
• Medical Research & Data Analysis
• Others

By End Use

• Healthcare Providers
• Healthcare Companies
• Academic & Research Institutes
• Healthcare Payers
• Others

COMPANIES PROFILED

• nVIDIA, Oracle, Microsoft, Thoughtful Automation Inc., Hippocratic AI Inc., Cognigy, Amelia US LLC, Beam AI., Momentum, Notable, Springs

TABLE OF CONTENTS

Chapter 1. PREFACE

• 1.1. Market Segmentation & Scope
• 1.2. Market Definition
• 1.3. Information Procurement
  • 1.3.1 Information Analysis
  • 1.3.2 Market Formulation & Data Visualization
  • 1.3.3 Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

• 2.1. Market Snapshot
• 2.2. Segmental Outlook
• 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

• 3.1. Market Lineage Outlook
• 3.2. Penetration & Growth Prospect Mapping
• 3.3. Value Chain Analysis
• 3.4. Regulatory Framework
  • 3.4.1 Standards & Compliance
  • 3.4.2 Regulatory Impact Analysis
• 3.5. Market Dynamics
  • 3.5.1 Market Drivers
  • 3.5.2 Market Restraints
  • 3.5.3 Market Opportunities
  • 3.5.4 Market Challenges
• 3.6. Porter's Five Forces Analysis
• 3.7. PESTLE Analysis

Chapter 4. GLOBAL AGENTIC AI IN HEALTHCARE MARKET: BY AGENT SYSTEM 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Agent System
• 4.2. Single Agent Systems Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Multi Agent Systems Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL AGENTIC AI IN HEALTHCARE MARKET: BY PRODUCT 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Product
• 5.2. Ready-to-Deploy Agents Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Build-Your-Own Agents Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL AGENTIC AI IN HEALTHCARE MARKET: BY TECHNOLOGY 2022-2034 (USD MN)

• 6.1. Market Analysis, Insights and Forecast Technology
• 6.2. Machine Learning (Deep Learning, Supervised, Unsupervised, Others (Reinforcement Learning, Semi-supervised)) Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. Natural Language Processing (Smart Assistance, OCR (Optical Character Recognition), Auto Coding, Text Analytics, Speech Analytics, Classification & Categorization) Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.4. Context-aware Computing Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.5. Computer Vision Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL AGENTIC AI IN HEALTHCARE MARKET: BY APPLICATION 2022-2034 (USD MN)

• 7.1. Market Analysis, Insights and Forecast Application
• 7.2. Medical Imaging Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.3. Personalized Treatment & Drug Discovery Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.4. Electronic Health Records (EHRs) Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.5. Remote Patient Care Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.6. Clinical Decision-Making Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.7. Risk Prediction & Pandemic Preparedness Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.8. Genomic Data Analysis Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.9. Chronic Disease Management Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.10. Hospital Resource Optimization Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.11. Medical Research & Data Analysis Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.12. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL AGENTIC AI IN HEALTHCARE MARKET: BY END USE 2022-2034 (USD MN)

• 8.1. Market Analysis, Insights and Forecast End Use
• 8.2. Healthcare Providers Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.3. Healthcare Companies Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.4. Academic & Research Institutes Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.5. Healthcare Payers Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 8.6. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 9. GLOBAL AGENTIC AI IN HEALTHCARE MARKET: BY REGION 2022-2034 (USD MN)

• 9.1. Regional Outlook
• 9.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.2.1 By Agent System
  • 9.2.2 By Product
  • 9.2.3 By Technology
  • 9.2.4 By Application
  • 9.2.5 By End Use
  • 9.2.6 United States
  • 9.2.7 Canada
  • 9.2.8 Mexico
• 9.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.3.1 By Agent System
  • 9.3.2 By Product
  • 9.3.3 By Technology
  • 9.3.4 By Application
  • 9.3.5 By End Use
  • 9.3.6 United Kingdom
  • 9.3.7 France
  • 9.3.8 Germany
  • 9.3.9 Italy
  • 9.3.10 Russia
  • 9.3.11 Rest Of Europe
• 9.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.4.1 By Agent System
  • 9.4.2 By Product
  • 9.4.3 By Technology
  • 9.4.4 By Application
  • 9.4.5 By End Use
  • 9.4.6 India
  • 9.4.7 Japan
  • 9.4.8 South Korea
  • 9.4.9 Australia
  • 9.4.10 South East Asia
  • 9.4.11 Rest Of Asia Pacific
• 9.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.5.1 By Agent System
  • 9.5.2 By Product
  • 9.5.3 By Technology
  • 9.5.4 By Application
  • 9.5.5 By End Use
  • 9.5.6 Brazil
  • 9.5.7 Argentina
  • 9.5.8 Peru
  • 9.5.9 Chile
  • 9.5.10 Rest of Latin America
• 9.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 9.6.1 By Agent System
  • 9.6.2 By Product
  • 9.6.3 By Technology
  • 9.6.4 By Application
  • 9.6.5 By End Use
  • 9.6.6 Saudi Arabia
  • 9.6.7 UAE
  • 9.6.8 Israel
  • 9.6.9 South Africa
  • 9.6.10 Rest of the Middle East And Africa

Chapter 10. COMPETITIVE LANDSCAPE

• 10.1. Recent Developments
• 10.2. Company Categorization
• 10.3. Supply Chain & Channel Partners (based on availability)
• 10.4. Market Share & Positioning Analysis (based on availability)
• 10.5. Vendor Landscape (based on availability)
• 10.6. Strategy Mapping

Chapter 11. COMPANY PROFILES OF GLOBAL AGENTIC AI IN HEALTHCARE INDUSTRY

• 11.1. Top Companies Market Share Analysis
• 11.2. Company Profiles
  • 11.2.1 NVIDIA
  • 11.2.2 Oracle
  • 11.2.3 Microsoft
  • 11.2.4 Thoughtful Automation Inc
  • 11.2.5 Hippocratic AI Inc
  • 11.2.6 Cognigy
  • 11.2.7 Amelia US LLC
  • 11.2.8 Beam AI
  • 11.2.9 Momentum
  • 11.2.10 Notable
  • 11.2.11 Springs