Global Agentic AI In Healthcare Market Size is valued at USD 493.9 Million in 2024 and is predicted to reach USD 21.1 Billion by the year 2034 at an 46.1% CAGR during the forecast period for 2025-2034.
Agentic AI, in the context of healthcare, is self-governing AI systems that can make decisions and execute tasks independently. Such systems are programmed to evaluate intricate medical information, forecast outcomes, and offer recommendations or actions in real-time. Agentic AI, unlike traditional AI, can perform actions like resource management, treatment plan optimization, and precision diagnostics alongside offering insights. Personalized medicine, drug development, diagnostics, and remote patient monitoring are some of its uses.
Agentic AI aims to enhance patient outcomes as well as healthcare staff shortages through the use of machine learning and advanced algorithms to enhance accessibility, accuracy, and efficiency. Among the prime drivers of the agentic AI in healthcare industry are the increased need for customized healthcare solutions, the rapid pace of development in AI technology, the trend towards preventative care within the healthcare sector, and the incorporation of AI in diagnosis. Other drivers of market growth are the rising automation of repetitive tasks, the rising focus on resource and cost efficiency, and the increasing adoption of enhanced patient care solutions. AI agents also accelerate the research and development processes of the pharmaceutical industry.
Some of the Key Players in Agentic AI In Healthcare Market:
The Agentic AI In Healthcare market is segmented based on Agent System, product, technology, application, and end-use. Based on Agent System, the market is segmented into Single Agent Systems and Multi Agent Systems. By product, the market is segmented into Ready-to-Deploy Agents and Build-Your-Own Agents. By technology, the market is segmented into 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, and Computer Vision.
By application, the market is segmented into Medical Imaging, Risk Prediction & Pandemic Preparedness, Genomic Data Analysis, Chronic Disease Management, Personalized Treatment & Drug Discovery, Electronic Health Records (EHRs), Medical Research & Data analysis, Remote Patient Care, Clinical Decision-Making, Hospital Resource Optimization, and Others. Based on end-use, the market is segmented into Healthcare Providers, Healthcare Companies, Academic & Research Institutes, Healthcare Payers, and Others.
The Ready-to-Deploy Agents segment is poised to capture a significant global market share due to their ability to be rapidly installed, save costs, possess better scalability, and make decisions. Ready-to-deploy AI agents equipped with advanced algorithms and machine learning capability enhance decision-making processes in healthcare environments. They rapidly and accurately assess vast amounts of information, providing insights that guide doctors in making informed decisions regarding patient care, resource utilization, and treatment regimens. Additionally, these agents enable interoperability for more smooth data exchange among different platforms, such as billing systems and electronic health records (EHRs), which reduces data silos and enhances overall workflow efficiency.
The medical imaging segment had the highest market share. The ability of AI agents to enhance image processing, enhance the accuracy of diagnosis, and reduce interpretation times is accountable for this growth, which sustains the radiologists' workflows. Medical image interpretation, such as MRIs, CT scans, X-rays, and mammograms, is quickly being automated using AI agents. AI is able to detect patterns and abnormalities that might be hard for human radiologists to detect. The device has shown some promise in accurately diagnosing diseases, including cancer and fractures. Through this capability, it is expected to increase diagnostic confidence by providing a second opinion and assisting radiologists better in their diagnosis.
The North American Agentic AI In Healthcare industry is likely to hold the maximum market share in terms of revenue in the foreseeable future. Extensive use of AI/ML technologies, encouraging government policies, profitable funding possibilities, developments in healthcare IT infrastructure, increasing healthcare costs, and the availability of a number of major businesses are some of the reasons for this. Ageing populace, shifting lifestyle, growing incidence of chronic diseases, need for value-based care, and improving awareness about the use of AI-based technologies are a few factors propelling the market growth in North America. Asia Pacific is also expected to expand at a very high rate in the international Agentic AI In Healthcare market.
The adoption rates in the region are being fueled by an increase in investments from venture capitalists, private investors, and non-profits that aim to enhance healthcare outcomes, enhance data security and analytics, and reduce expenditure. Further, the market is expected to grow with the help of favorable government initiatives that drive healthcare providers and organizations to adopt AI-based technology. Additionally, the market is expanding as a result of higher healthcare spending and technological advancements in healthcare IT.
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Report Attribute |
Specifications |
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Market Size Value In 2024 |
USD 493.9 Million |
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Revenue Forecast In 2034 |
USD 21.1 Billion |
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Growth Rate CAGR |
CAGR of 46.1% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Mn and CAGR from 2025 to 2034 |
|
Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Agent System, Product, Technology, Application, End-Use, and By Region |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; The UK; France; Italy; Spain; China; Japan; India; South Korea; Southeast Asia; South Korea; Southeast Asia |
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Competitive Landscape |
nVIDIA, Oracle, Microsoft, Thoughtful Automation Inc., Hippocratic AI Inc., Cognigy, Amelia US LLC, Beam AI., Momentum, Notable, Springs |
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Customization Scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. Geographic competitive landscape. |
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Pricing and Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Agentic AI In Healthcare Market Snapshot
Chapter 4. Global Agentic AI In Healthcare Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2024-2034
4.8. Competitive Landscape & Market Share Analysis, By Key Player (2024)
4.9. Use/impact of AI on Agentic AI In Healthcare Market Industry Trends
4.10. Global Agentic AI In Healthcare Market Penetration & Growth Prospect Mapping (US$ Mn), 2021-2034
Chapter 5. Agentic AI In Healthcare Market Segmentation 1: By System, Estimates & Trend Analysis
5.1. Market Share by System, 2024 & 2034
5.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following System:
5.2.1. Single Agent Systems
5.2.2. Multi Agent Systems
Chapter 6. Agentic AI In Healthcare Market Segmentation 2: By Product, Estimates & Trend Analysis
6.1. Market Share by Product, 2024 & 2034
6.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Product:
6.2.1. Ready-to-Deploy Agents
6.2.2. Build-Your-Own Agents
Chapter 7. Agentic AI In Healthcare Market Segmentation 3: By Technology, Estimates & Trend Analysis
7.1. Market Share by Technology, 2024 & 2034
7.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Technology:
7.2.1. Machine Learning
7.2.1.1. Deep Learning
7.2.1.2. Supervised
7.2.1.3. Unsupervised
7.2.1.4. Others (Reinforcement Learning, Semi-supervised)
7.2.2. Natural Language Processing
7.2.2.1. Smart Assistance
7.2.2.2. OCR (Optical Character Recognition)
7.2.2.3. Auto Coding
7.2.2.4. Text Analytics
7.2.2.5. Speech Analytics
7.2.2.6. Classification & Categorization
7.2.3. Context-aware Computing
7.2.4. Computer Vision
Chapter 8. Agentic AI In Healthcare Market Segmentation 4: By Application, Estimates & Trend Analysis
8.1. Market Share by Application, 2024 & 2034
8.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Application:
8.2.1. Medical Imaging
8.2.2. Personalized Treatment & Drug Discovery
8.2.3. Electronic Health Records (EHRs)
8.2.4. Remote Patient Care
8.2.5. Clinical Decision-Making
8.2.6. Risk Prediction & Pandemic Preparedness
8.2.7. Genomic Data Analysis
8.2.8. Chronic Disease Management
8.2.9. Hospital Resource Optimization
8.2.10. Medical Research and Data Analysis
8.2.11. Others
Chapter 9. Agentic AI In Healthcare Market Segmentation 4: By End Use, Estimates & Trend Analysis
9.1. Market Share by End Use, 2024 & 2034
9.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following End Use:
9.2.1. Healthcare Providers
9.2.2. Healthcare Companies
9.2.3. Academic and Research Institutes
9.2.4. Others
Chapter 10. Agentic AI In Healthcare Market Segmentation 5: Regional Estimates & Trend Analysis
10.1. Global Agentic AI In Healthcare Market, Regional Snapshot 2024 & 2034
10.2. North America
10.2.1. North America Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.2.1.1. US
10.2.1.2. Canada
10.2.2. North America Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by System, 2021-2034
10.2.3. North America Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
10.2.4. North America Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
10.2.5. North America Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.2.6. North America Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by End Use, 2021-2034
10.3. Europe
10.3.1. Europe Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.3.1.1. Germany
10.3.1.2. U.K.
10.3.1.3. France
10.3.1.4. Italy
10.3.1.5. Spain
10.3.1.6. Rest of Europe
10.3.2. Europe Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by System, 2021-2034
10.3.3. Europe Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
10.3.4. Europe Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
10.3.5. Europe Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.3.6. Europe Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by End Use, 2021-2034
10.4. Asia Pacific
10.4.1. Asia Pacific Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.4.1.1. India
10.4.1.2. China
10.4.1.3. Japan
10.4.1.4. Australia
10.4.1.5. South Korea
10.4.1.6. Hong Kong
10.4.1.7. Southeast Asia
10.4.1.8. Rest of Asia Pacific
10.4.2. Asia Pacific Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by System, 2021-2034
10.4.3. Asia Pacific Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
10.4.4. Asia Pacific Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
10.4.5. Asia Pacific Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.4.6. Asia Pacific Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by End Use, 2021-2034
10.5. Latin America
10.5.1. Latin America Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.5.1.1. Brazil
10.5.1.2. Mexico
10.5.1.3. Rest of Latin America
10.5.2. Latin America Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by System, 2021-2034
10.5.3. Latin America Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
10.5.4. Latin America Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
10.5.5. Latin America Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.5.6. Latin America Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by End Use, 2021-2034
10.6. Middle East & Africa
10.6.1. Middle East & Africa Wind Turbine Rotor Blade Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
10.6.1.1. GCC Countries
10.6.1.2. South Africa
10.6.1.3. Rest of Middle East and Africa
10.6.2. Middle East & Africa Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by System, 2021-2034
10.6.3. Middle East & Africa Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Product, 2021-2034
10.6.4. Middle East & Africa Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
10.6.5. Middle East & Africa Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.6.6. Middle East & Africa Agentic AI In Healthcare Market Revenue (US$ Million) Estimates and Forecasts by End Use, 2021-2034
Chapter 11. Competitive Landscape
11.1. Major Mergers and Acquisitions/Strategic Alliances
11.2. Company Profiles
11.2.1. nVIDIA
11.2.1.1. Business Overview
11.2.1.2. Key System/Service Overview
11.2.1.3. Financial Performance
11.2.1.4. Geographical Presence
11.2.1.5. Recent Developments with Business Strategy
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
Segmentation of Agentic AI In Healthcare Market-
Agentic AI In Healthcare Market By Agent System-
Agentic AI In Healthcare Market By Product-
Agentic AI In Healthcare Market By Technology-
Agentic AI In Healthcare Market By Application-
Agentic AI In Healthcare Market By End-use-
Agentic AI In Healthcare Market By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
