한글목차

헬스케어 분야 에이전트 AI 세계 시장 규모는 2024년 1억 7,621만 달러에서 2030년에는 2억 6,268만 달러에 달할 것으로 예상되며, 예측 기간 동안 연평균 성장률(CAGR)은 7.08%를 보일 것으로 예측됩니다.

이 시장은 의료 서비스 제공 강화, 환자 결과 개선, 업무 효율성 향상을 위한 첨단 기술에 대한 수요 증가에 힘입어 강력한 성장세를 보이고 있습니다.

자율적인 의사결정과 상호작용이 가능한 인공지능의 고도화된 하위 집합인 에이전트형 AI는 전 세계적으로 헬스케어 시스템을 변화시키고 있습니다. 데이터에 기반한 통찰력과 정교한 알고리즘을 활용하여 에이전트형 AI는 진단, 치료 계획, 관리 프로세스, 환자 관리 등 헬스케어의 주요 측면에 혁명을 일으키고 있습니다.

이러한 성장의 배경에는 헬스케어 데이터의 급격한 증가가 있습니다. 전자의무기록(EHR), 웨어러블 헬스 기술, 의료용 영상의 보급으로 의료 서비스 제공업체들은 매일 방대한 양의 데이터를 생성하고 관리하고 있습니다. 에이전트 AI는 실시간 데이터 분석 및 해석을 통해 의료진에게 보다 정확하고 시기적절한 의사결정을 지원할 수 있는 실용적인 통찰력을 제공합니다. 예를 들어, AI가 탑재된 진단 도구는 엑스레이나 MRI와 같은 의료 영상을 평가하여 이상을 식별하고 질병의 위험을 예측할 수 있기 때문에 진단 정확도를 크게 향상시킬 수 있습니다.

주요 시장 성장 촉진요인

헬스케어 분야 확대

주요 시장 이슈

높은 개발 및 도입 비용

주요 시장 동향

로봇 수술과 AI 주도 수술의 성장

목차

제1장 개요

제2장 조사 방법

제3장 주요 요약

제4장 COVID-19가 세계의 헬스케어 분야 에이전트 AI 시장에 미치는 영향

제5장 세계의 헬스케어 분야 에이전트 AI 시장 전망

• 시장 규모와 예측
  • 금액별
• 시장 점유율과 예측
  • 제품별(Ready-to-Deploy Agents, Multi Agent Systems)
  • 용도별(의료 영상, 맞춤형 치료 및 Drug Discovery, 전자건강기록(EHR), 원격 환자 케어, 유전체 데이터 분석, 만성질환 관리, 기타)
  • 지역별
  • 기업별(2024년)
• 시장 맵

제6장 북미의 헬스케어 분야 에이전트 AI 시장 전망

• 시장 규모와 예측
• 시장 점유율과 예측
• 북미 : 국가별 분석
  • 미국
  • 멕시코
  • 캐나다

제7장 유럽의 헬스케어 분야 에이전트 AI 시장 전망

• 시장 규모와 예측
• 시장 점유율과 예측
• 유럽 : 국가별 분석
  • 프랑스
  • 독일
  • 영국
  • 이탈리아
  • 스페인

제8장 아시아태평양의 헬스케어 분야 에이전트 AI 시장 전망

• 시장 규모와 예측
• 시장 점유율과 예측
• 아시아태평양 : 국가별 분석
  • 중국
  • 인도
  • 한국
  • 일본
  • 호주

제9장 남미의 헬스케어 분야 에이전트 AI 시장 전망

• 시장 규모와 예측
• 시장 점유율과 예측
• 남미 : 국가별 분석
  • 브라질
  • 아르헨티나
  • 콜롬비아

제10장 중동 및 아프리카의 헬스케어 분야 에이전트 AI 시장 전망

• 시장 규모와 예측
• 시장 점유율과 예측
• 중동 및 아프리카 : 국가별 분석
  • 남아프리카공화국
  • 사우디아라비아
  • 아랍에미리트(UAE)

제11장 시장 역학

• 성장 촉진요인
• 과제

제12장 시장 동향과 발전

• 인수합병(M&A)
• 제품 출시
• 최근 동향

제13장 세계의 헬스케어 분야 에이전트 AI 시장 : SWOT 분석

제14장 Porter의 Five Forces 분석

• 업계내 경쟁
• 신규 참여 가능성
• 공급업체의 힘
• 고객의 힘
• 대체품의 위협

제15장 경쟁 구도

• NVIDIA Corporation
• Oracle Corporation
• GE HealthCare Technologies Inc.
• Thoughtful Automation Inc.
• Hippocratic AI Inc.
• Cognigy GmbH
• Amelia US LLC
• Beam AI Inc.
• Mindsprint Pte. Ltd.
• Hyro AI Inc.

제16장 전략적 제안

제17장 리서치사에 대해 & 면책사항

영문목차

Global Agentic AI in healthcare market was valued at USD 176.21 million in 2024 and is projected to reach USD 262.68 million by 2030, growing at a compound annual growth rate (CAGR) of 7.08% during the forecast period. This market is witnessing robust growth, driven by the rising demand for advanced technologies that enhance healthcare delivery, improve patient outcomes, and boost operational efficiency.

Agentic AI-an advanced subset of artificial intelligence capable of autonomous decision-making and interaction-is transforming healthcare systems globally. By harnessing data-driven insights and sophisticated algorithms, Agentic AI is revolutionizing key aspects of healthcare, including diagnostics, treatment planning, administrative processes, and patient management.

A major catalyst behind this growth is the exponential increase in healthcare data. With the widespread adoption of electronic health records (EHRs), wearable health technologies, and medical imaging, healthcare providers are generating and managing vast volumes of data daily. Agentic AI enables real-time data analysis and interpretation, offering healthcare professionals actionable insights that support more accurate and timely decision-making. For instance, AI-powered diagnostic tools can assess medical images such as X-rays and MRIs to identify anomalies or predict disease risks, thereby significantly enhancing diagnostic accuracy.

Key Market Drivers

Expansion of the Healthcare Sector

The rapid expansion of the global healthcare sector is a primary driver for the Agentic AI market. As healthcare systems continue to evolve, there is a heightened demand for innovative solutions that enhance efficiency, reduce operational costs, and improve clinical outcomes. Agentic AI systems-designed to perform specific tasks autonomously-are being increasingly integrated into healthcare workflows to address these needs.

Another significant factor accelerating adoption is the growing complexity of healthcare delivery, compounded by shifting global demographics. By 2050, approximately 80% of the elderly population will reside in low- and middle-income countries. The pace of population aging is unprecedented: in 2020, the number of individuals aged 60 and above surpassed that of children under five. Between 2015 and 2050, the share of the global population aged 60+ is projected to rise from 12% to 22%. As patient populations expand and age, healthcare providers face increasing pressure to deliver high-quality care while managing costs and maintaining operational efficiency.

Key Market Challenges

High Costs of Development and Implementation

Despite its transformative potential, the adoption of Agentic AI in healthcare faces a significant challenge in terms of high development and implementation costs. The financial burden associated with the research, development, deployment, and ongoing maintenance of Agentic AI technologies presents a major obstacle for many healthcare institutions and technology vendors.

Developing robust Agentic AI systems requires substantial upfront investment in data acquisition, algorithm development, and system integration. These solutions must be exceptionally accurate and dependable, given the high stakes associated with patient care. The complexity and rigor of the research and development process often necessitate large-scale investments and extended development timelines, making the path to commercialization challenging.

Key Market Trends

Growth in Robotic Surgery and AI-Driven Procedures

One of the most prominent trends shaping the Agentic AI in healthcare market is the increasing adoption of robotic surgery and AI-assisted medical procedures. Technological advancements are rapidly redefining clinical and surgical practices, with robotic systems and AI technologies delivering significant gains in precision, efficiency, and patient outcomes.

Robotic surgery, known for its ability to enable minimally invasive and highly precise procedures, is gaining widespread acceptance across multiple medical specialties, including cardiology, orthopedics, neurology, and general surgery. Globally, over 76,000 surgeons have been trained to use da Vinci systems, with more than 14 million procedures performed using this technology. These systems are authorized for a wide range of surgical applications.

When enhanced with AI capabilities, robotic platforms can analyze patient data in real time, support clinical decision-making, and assist surgeons in executing complex procedures. AI-driven systems offer predictive analytics, risk assessments, and customized surgical strategies based on each patient's unique medical profile, significantly optimizing surgical outcomes.

Key Market Players

• NVIDIA Corporation
• Oracle Corporation
• GE HealthCare Technologies Inc.
• Thoughtful Automation Inc.
• Hippocratic AI Inc.
• Cognigy GmbH
• Amelia US LLC
• Beam AI Inc.
• Mindsprint Pte. Ltd.
• Hyro AI Inc.

Report Scope

In this report, the Global Agentic AI In Healthcare Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Agentic AI In Healthcare Market, By Product:

• Ready-to-Deploy Agents
• Multi Agent Systems

Agentic AI In Healthcare Market, By Application:

• Medical Imaging
• Personalized Treatment & Drug Discovery
• Electronic Health Records (EHR)
• Remote Patient Care
• Genomic Data Analysis
• Chronic Disease Management
• Others

Agentic AI In Healthcare Market, By Region:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Agentic AI In Healthcare Market.

Available Customizations:

Global Agentic AI In Healthcare Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, and Trends

4. Impact of COVID-19 on Global Agentic AI In Healthcare Market

5. Global Agentic AI In Healthcare Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Product (Ready-to-Deploy Agents, Multi Agent Systems)
  • 5.2.2. By Application (Medical Imaging, Personalized Treatment & Drug Discovery, Electronic Health Records (EHR), Remote Patient Care, Genomic Data Analysis, Chronic Disease Management, Others)
  • 5.2.3. By Region
  • 5.2.4. By Company (2024)
• 5.3. Market Map

6. North America Agentic AI In Healthcare Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Product
  • 6.2.2. By Application
  • 6.2.3. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Agentic AI In Healthcare Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Product
      • 6.3.1.2.2. By Application
  • 6.3.2. Mexico Agentic AI In Healthcare Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Product
      • 6.3.2.2.2. By Application
  • 6.3.3. Canada Agentic AI In Healthcare Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Product
      • 6.3.3.2.2. By Application

7. Europe Agentic AI In Healthcare Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Product
  • 7.2.2. By Application
  • 7.2.3. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. France Agentic AI In Healthcare Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Product
      • 7.3.1.2.2. By Application
  • 7.3.2. Germany Agentic AI In Healthcare Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Product
      • 7.3.2.2.2. By Application
  • 7.3.3. United Kingdom Agentic AI In Healthcare Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Product
      • 7.3.3.2.2. By Application
  • 7.3.4. Italy Agentic AI In Healthcare Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Product
      • 7.3.4.2.2. By Application
  • 7.3.5. Spain Agentic AI In Healthcare Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Product
      • 7.3.5.2.2. By Application

8. Asia Pacific Agentic AI In Healthcare Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Product
  • 8.2.2. By Application
  • 8.2.3. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Agentic AI In Healthcare Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Product
      • 8.3.1.2.2. By Application
  • 8.3.2. India Agentic AI In Healthcare Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Product
      • 8.3.2.2.2. By Application
  • 8.3.3. South Korea Agentic AI In Healthcare Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Product
      • 8.3.3.2.2. By Application
  • 8.3.4. Japan Agentic AI In Healthcare Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Product
      • 8.3.4.2.2. By Application
  • 8.3.5. Australia Agentic AI In Healthcare Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Product
      • 8.3.5.2.2. By Application

9. South America Agentic AI In Healthcare Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Product
  • 9.2.2. By Application
  • 9.2.3. By Country
• 9.3. South America: Country Analysis
  • 9.3.1. Brazil Agentic AI In Healthcare Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Product
      • 9.3.1.2.2. By Application
  • 9.3.2. Argentina Agentic AI In Healthcare Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Product
      • 9.3.2.2.2. By Application
  • 9.3.3. Colombia Agentic AI In Healthcare Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Product
      • 9.3.3.2.2. By Application

10. Middle East and Africa Agentic AI In Healthcare Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Product
  • 10.2.2. By Application
  • 10.2.3. By Country
• 10.3. MEA: Country Analysis
  • 10.3.1. South Africa Agentic AI In Healthcare Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Product
      • 10.3.1.2.2. By Application
  • 10.3.2. Saudi Arabia Agentic AI In Healthcare Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Product
      • 10.3.2.2.2. By Application
  • 10.3.3. UAE Agentic AI In Healthcare Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Product
      • 10.3.3.2.2. By Application

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Global Agentic AI In Healthcare Market: SWOT Analysis

14. Porters Five Forces Analysis

• 14.1. Competition in the Industry
• 14.2. Potential of New Entrants
• 14.3. Power of Suppliers
• 14.4. Power of Customers
• 14.5. Threat of Substitute Products

15. Competitive Landscape

• 15.1. NVIDIA Corporation
  • 15.1.1. Business Overview
  • 15.1.2. Company Snapshot
  • 15.1.3. Products & Services
  • 15.1.4. Financials (As Reported)
  • 15.1.5. Recent Developments
  • 15.1.6. Key Personnel Details
  • 15.1.7. SWOT Analysis
• 15.2. Oracle Corporation
• 15.3. GE HealthCare Technologies Inc.
• 15.4. Thoughtful Automation Inc.
• 15.5. Hippocratic AI Inc.
• 15.6. Cognigy GmbH
• 15.7. Amelia US LLC
• 15.8. Beam AI Inc.
• 15.9. Mindsprint Pte. Ltd.
• 15.10. Hyro AI Inc.

16. Strategic Recommendations

17. About Us & Disclaimer