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Market Size
The global agentic AI in healthcare market, valued at USD 0.80 billion in 2025, is projected to reach USD 1.17 billion in 2026 and USD 32.76 billion by 2035, with a CAGR of 44.9% during the forecast period 2026 to 2035.
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Market Report: Key Takeaways
- The global market for agentic AI in healthcare is growing immensely, driven by the growing demand for automation software to improve administrative workflow and clinical decision-making process.
- In terms of agent system type, the single agent systems segment holds 60% of the market share.
- Based on the type of product, the ready-to-deploy agents segment dominates by securing nearly 65% of the overall revenue share.
- With regards to application area, the medical imaging segment dominates the market by holding nearly 20% of the market share.
- According to the regional analysis, North America holds nearly 55% of the market share.
Market Introduction
Agent AI is a form of component within AI model that has been designed to handle repetitive tasks and processes. It is important to highlight here that healthcare personnel are required to process healthcare claims, patient scheduling, clinical decisions and other datasets. These tasks demand time and also prone to human errors. Owing to the ongoing concern, healthcare professionals are leveraging Agent AI to streamline data processing, resource optimization and automating repetitive tasks to streamline workflow.
The introduction of agentic AI for hospital operations has streamlined the process by automating the repetitive task. It reduces time and improve accuracy so staff can focus on other vital operations. Beyond autonomous healthcare task management, Agent AI is also gaining traction in disease diagnosis, and drug development, allowing researchers to develop targeted therapies faster by screening compounds and identifying which compounds will be effective.
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Driven by the increasing demand, several market players are undertaking initiatives to agent AI that are more proactive and efficient. In order to leverage competitive edge, the market players are leveraging partnerships and collaborations. For instance, in October 2025, IBM (US), and Groq (US) entered into a strategic go-to-market and technology partnership to provide clients from healthcare, finance other sectors immediate access to GroqCloud on wtasonx Orchestrate (high speed AI inference) to accelerate agentic AI deployment. Overall, the agentic AI in healthcare market is likely to grow at the fastest pace during the forecast period due to the ongoing initiatives and heightened demand.
Recent Developments in Agentic AI in Healthcare Market
- In October 2025, Accenture (US) and Google Cloud (US) announced that their strategic alliance is accelerating reinvention with Gemini enterprise agentic AI solution. Moreover, Accenture (US) is also advancing agentic AI with support for Gemini Enterprise, latest agentic AI platform designed to harness the Google’s AI power to enhance workflow.
- In October 2025, John Snow Labs (US) entered into a strategic partnership with Lunar Analytics (US) to deliver agentic AI solutions that has the ability to address the inefficiencies in medical prior authorization and pharmacy.
- In August 2025, Wipro (India) announced the completion of its generative AI agent-building initiative with Google Cloud. The company has delivered 200 production-ready AI agents across healthcare, IT industries and other sectors.
- In July 2025, Agilisium (US) signed a Memorandum of Understanding (MoU) with Sri Ramachandra Institute of Higher Education and Research (SRIHER) to establish the India’s first agentic AI-powered digital health & research center.
Market Trends
- Multi-Modal Data Integration by Agentic AI in Health Informatics: Integration of multi-modal with agentic AI for real-time patient monitoring and intervention is one of the key trends of the market. This integration is essential because healthcare data has heterogeneous nature and clinicians are required to extract data from multiple sources, including wearable medical devices, medical images, lab results, genomic data, and electronic health records. Multi-modal data integration by Agent AI help to process different form of data to provide a collective report, which is crucial for making a clinical decision.
- Increasing Adoption in Personalized Healthcare: Personalized medicine enabled by agentic healthcare AI is another key market trend. Notably, the Agentic AI technology can process lifestyle data, genetic information and environmental factor to tailor the treatment based on individual patient requirement. This shift towards personalized medicine has further bolstered the demand for agentic AI-enabled personalized treatment.
- Increasing Partnerships and Collaborations: The agentic AI in healthcare market is witnessing several partnerships and collaborations, which is expected to propel the growth in this market. For instance, the market players, such as Google (US), Accenture (US) and Microsoft (US) are leveraging partnerships to enhance the acceptance of AI operations as-a-service and agentic AI across small to large healthcare systems lacking in-house technical capabilities.
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Industry Experts on Agentic AI in Healthcare Market
Experts believe that AI in healthcare workflow optimization is a game changer tool for the healthcare industry and is likely to be one of the crucial factor in the upcoming years for clinical decisions.
Amanda Saunders (director of generative AI software marketing at NVIDIA, US) says that “Agentic AI will change the way we work in ways that parallel how different work became with the arrival of the internet,”. She further added that, “Agentic AI is already transforming enterprises and is likely to be a multitrillion-dollar opportunity,”.
Agentic AI in Healthcare Market Drivers
- Increasing Healthcare Administrative Burden: One of the significant market driver is increasing administrative burden in healthcare industry. It is worth mentioning that hospitals administrative staff are required to manage multiple datasets, including scheduling, patient engagement, treatment plans, and documentations. The manual data entry is error prone and require a lot of time. This significant challenge has indeed increased the demand for AI clinical workflow automation tools to automate the repetitive tasks and reduce the administrative burden.
- Agentic AI Applications in Remote Diagnostics and Telemedicine: The growing shift towards remote diagnostics and telehealth services has further accelerated the adoption of agentic AI in healthcare. This integration of agentic Ai with remote diagnostics technologies can help in analyzing data in real-time, which further helps in making informed clinical decisions.
- Agentic AI-Powered Drug Discovery and Trial Management: Agentic AI is currently widely being adopted in pharmaceutical and healthcare to accelerate the research on advanced drugs. It is worth mentioning that the agentic AI is used to screen billions of therapeutic compounds, analyze scientific information and helps to optimize the clinical trial designs to speed up the process.
Market Segmentation Analysis
Software will Remain Dominant in the Future
- Based on the type of component, the global market is sub-divided into software (AI platforms and agentic algorithms), services (consulting, and integration), and hardware (AI chips and computer infrastructure). According to the agentic AI in healthcare market forecast, the software segment is dominating the market and is likely to remain dominant in the future. This dominance stems from its simplicity, and capabilities to operate independently without requiring support from other autonomous agents healthcare. Healthcare professionals can use software for making clinical decision and data management.
- It is worth noting that the software segment is likely to register higher CAGR in the future. The software, such as AI platforms and agentic algorithms, can help to perform complex tasks within healthcare industry. Moreover, software can be integrated with multi-agent systems to enhance overall working efficiency and improve problem-solving abilities.
Ready-to-Deploy Agents are Mostly Preferred by the Healthcare
- This segment is categorized based on the type of product into ready-to-deploy agents and build-your-own agents. According to the agentic AI in healthcare market report, the ready-to-deploy agents segment dominates the market by securing 65% of the overall revenue share. This growth can be ascribed to the fact that ready-to-deploy agents are cost-efficient, easy to implement, and enhance healthcare operation scalability. In addition, the ability to analyze massive data with higher accuracy can help clinicians in making informed decision and allow enabling better interoperability for easy data exchange.
- Notably, the build-your-own agents segment is likely to grow at a higher CAGR during the forecast period. This can be attributed to the increasing need for customized agentic AI functionalities to meet unique operational demand of different healthcare facilities. Moreover, build-your-own agents allow healthcare organizations to align with their patient engagement goals and streamline administrative tasks.
Market Regional Analysis
North America Dominates the Agentic AI in Healthcare Market
Based on our projection, North America is dominating the market, accounting for nearly 55% of the agentic AI in healthcare market share. This dominance is due to the increasing investment in healthcare infrastructure to improve operational efficiency, and the heightened demand for medical agentic AI for scheduling and workflow optimization. Additionally, the increasing shift towards personalized healthcare and integration of AI technology with telemedicine has further fueled the demand for agentic AI in this region.
US Agentic AI in Healthcare Market
The market for agentic AI in healthcare is likely to grow at a substantial pace in the US. This is due to the presence of well-established industrial players, such as Google (US), Microsoft (US), and Accenture (US) who are consistently driving innovation in agentic AI. In addition, the increasing usage of agentic AI in drug discovery and personalized medicine along with favorable regulatory framework is supporting the growth of the market in this region.
Agentic AI in Healthcare Adoption Trend in Asia-Pacific
In Asia-Pacific, the market for agentic AI in healthcare is expected to grow at a higher CAGR during the forecast period. This lucrative growth is due to the increasing partnerships to strengthen the adoption of agentic AI in this regions and increasing investment from government and private investors to enhance healthcare infrastructure.
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It is important to note here that the Indian Apollo hospitals plans to double its investment in artificial intelligence models over the next two or three years to enhance operational efficiency. Additionally, the ongoing technological innovations to accept decision-making AI in healthcare is likely to fuel the agentic AI in healthcare market growth in this region.
Agentic AI in Healthcare Market: Report Attributes / Market Segmentation
| Key Report Attribute | Details | |
| Historical Trend | Since 2020 | |
| Forecast Period | Till 2035 | |
| Market Size 2026 | 1.17 Billion | |
| Market Size 2035 | 32.76 Billion | |
| CAGR (Till 2035) | 44.9% | |
| Segments Covered |
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| Key Players Profiled |
(A complete list of companies captured is available in the report) |
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| PowerPoint Presentation (Complimentary) | Available | |
| Customization Scope | 15% Free Customization | |
| Excel Data Packs (Complimentary) | Available | |
Market Segmentation
Based on the agentic AI in healthcare industry analysis, we have segmented the agentic AI in healthcare market into type of agents, product type, technology type, application area, end user, geographical regions, and leading players.
Agentic AI in Healthcare Market, by Type of Agent
- Single Agent Systems
- Multi Agent Systems
Agentic AI in Healthcare Market, by Type of Product
- Ready-to-Deploy Agents
- Build-Your Own Agents
Agentic AI in Healthcare Market, by Type of Component
- Software
- AI Platforms
- Agentic Algorithms
- Services
- Consulting
- Integration
- Hardware
- AI Chips
- Computer Infrastructure
Agentic AI in Healthcare Market, by Type of Technology
- Machine Learning
- Deep Learning
- Supervised
- 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
Agentic AI in Healthcare Market, by Application Area
- 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
Agentic AI in Healthcare Market, by End User
- Healthcare Providers
- Healthcare Companies
- Academic & Research Institutes
- Healthcare Payers
- Others
Agentic AI in Healthcare Market, by Geographical Regions
- North America
- US
- Canada
- Mexico
- Europe
- France
- Germany
- Italy
- Spain
- UK
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- New Zealand
- Rest of the Asia-Pacific
- Middle East & Africa
- Egypt
- Iran
- Iraq
- Israel
- Saudi Arabia
- South Africa
- United Arab Emirates
- Latin America
- Argentina
- Brazil
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