The global agentic AI in healthcare market size is anticipated to reach USD 4.96 billion by 2030 and is projected to grow at a CAGR of 45.56% from 2025 to 2030. Growing focus on personalized treatments, increasing shift to proactive care promoting better health outcomes, rising need for diagnostic accuracy, and growing focus on cost reduction are some of the factors contributing to market growth.
AI agents enable personalized medicine by analyzing patient history and real-time metrics. Remote monitoring through wearables alerts providers to potential emergencies. Moreover, AI agents drive cardiology, radiology, neurology, and dermatology advancements. These tools analyze ECGs, automate imaging diagnostics, and monitor EEGs, driving improvements in precision diagnostics and innovative research.
In addition, they analyze large volumes of medical data, such as medical imaging, genetic information, and patient history, to detect patterns that may be missed by human doctors. For instance, in February 2025, Thoughtful AI partnered with Hopebridge Autism Therapy Centers to enhance autism care through advanced AI technology. This collaboration aims to improve patient outcomes by utilizing AI-driven insights and tools, enabling therapists to provide more personalized and effective treatment plans for children with autism.
Furthermore, the integration of Agentic AI into healthcare revenue cycle management (RCM) is driving significant transformation in the healthcare industry, enhancing both financial performance and operational efficiency. AI agents in revenue cycle management assist by automating medical billing and coding, ensuring that claims are submitted quickly and accurately. These AI tools analyze medical records and automatically assign the correct codes, reducing errors that often lead to claim denials. AI agents effectively enhance patient interactions by delivering transparent billing information, sending reminders, and providing support through chatbots or virtual assistants. They also assist patients in navigating insurance coverage, payment options, and financial assistance programs, thereby improving patient satisfaction and expediting payments.
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AI agents enable personalized medicine by analyzing patient history and real-time metrics. Remote monitoring through wearables alerts providers to potential emergencies. Moreover, AI agents drive cardiology, radiology, neurology, and dermatology advancements. These tools analyze ECGs, automate imaging diagnostics, and monitor EEGs, driving improvements in precision diagnostics and innovative research.
In addition, they analyze large volumes of medical data, such as medical imaging, genetic information, and patient history, to detect patterns that may be missed by human doctors. For instance, in February 2025, Thoughtful AI partnered with Hopebridge Autism Therapy Centers to enhance autism care through advanced AI technology. This collaboration aims to improve patient outcomes by utilizing AI-driven insights and tools, enabling therapists to provide more personalized and effective treatment plans for children with autism.
Furthermore, the integration of Agentic AI into healthcare revenue cycle management (RCM) is driving significant transformation in the healthcare industry, enhancing both financial performance and operational efficiency. AI agents in revenue cycle management assist by automating medical billing and coding, ensuring that claims are submitted quickly and accurately. These AI tools analyze medical records and automatically assign the correct codes, reducing errors that often lead to claim denials. AI agents effectively enhance patient interactions by delivering transparent billing information, sending reminders, and providing support through chatbots or virtual assistants. They also assist patients in navigating insurance coverage, payment options, and financial assistance programs, thereby improving patient satisfaction and expediting payments.
Agentic AI In Healthcare Market Report Highlights
- Based on agent system, the single agent systems dominated the market in terms of revenue in 2024, as these systems operate independently without needing to coordinate with other agents.
- Based on product, the ready-to-deploy agents segment dominated the market with the largest revenue share in 2024, as these agents allow organizations to implement solutions quickly without the need for extensive customization or development time.
- Based on technology, the machine learning segment held the largest revenue share in 2024. Moreover, the context-aware computing segment is expected to grow at the fastest CAGR during the forecast period.
- Based on application, the medical imaging segment held the largest revenue share in 2024, as AI agents analyze vast amounts of imaging data quickly and with high precision. For instance, they are able to identify patterns indicative of diseases such as cancer or cardiovascular conditions by comparing new images against extensive databases of previously analyzed cases.
- Based on end use, the healthcare companies segment dominated the market with the largest share in 2024, owing to the ability of AI agents to assist these companies in drug discovery & development, clinical trial design and management, regulatory compliance, pharmacovigilance, etc.
- North America region held the largest market share in 2024, owing to the presence of major market players, widespread adoption of artificial intelligence in healthcare, and technological advancements.
- In September 2024, Thoughtful AI launched PAULA, an AI Agent that automates prior authorization processes in healthcare revenue cycle management. PAULA significantly reduces administrative time by 80% and boasts a 98% first-pass resolution rate, streamlining submissions, tracking, and appeals. This ultimately enhances patient care and improves provider claims approval rates.
Why should you buy this report?
- Comprehensive Market Analysis: Gain detailed insights into the global market across major regions and segments.
- Competitive Landscape: Explore the market presence of key players worldwide.
- Future Trends: Discover the pivotal trends and drivers shaping the future of the global market.
- Actionable Recommendations: Utilize insights to uncover new revenue streams and guide strategic business decisions.
This Report Addresses:
- Market intelligence to enable effective decision-making
- Market estimates and forecasts from 2018 to 2030
- Growth opportunities and trend analyses
- Segment and regional revenue forecasts for market assessment
- Competition strategy and market share analysis
- Product innovation listing for you to stay ahead of the curve
- COVID-19's impact and how to sustain in these fast-evolving markets
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Table of Contents
Chapter 1. Methodology and Scope
Chapter 2. Executive Summary
Chapter 3. Agentic AI in Healthcare Market Variables, Trends & Scope
Chapter 4. Agentic AI in Healthcare Market: Agent Systems Estimates & Trend Analysis
Chapter 5. Agentic AI in Healthcare Market: Product Estimates & Trend Analysis
Chapter 6. Agentic AI in Healthcare Market: Technology Estimates & Trend Analysis
Chapter 7. Agentic AI in Healthcare Market: Application Estimates & Trend Analysis
Chapter 8. Agentic AI in Healthcare Market: End Use Estimates & Trend Analysis
Chapter 9. Agentic AI in Healthcare Market: Regional Estimates & Trend Analysis
Chapter 10. Competitive Landscape
List of Tables
List of Figures
Companies Mentioned
- nVIDIA
- Oracle
- Microsoft
- Thoughtful Automation Inc.
- Hippocratic AI Inc.
- Cognigy
- Amelia US LLC
- Beam AI.
- Momentum
- Notable
- Springs
Methodology
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