Agentic AI In Healthcare Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Product (Ready-to-Deploy Agents, Multi Agent Systems), By Application (Medical Imaging, Personalized Treatment & Drug Discovery, Electronic Health Records (EHR), Remote Patient Care, Genomic Data Analysis, Chronic Disease Management, Others), By Region and Competition, 2021-2031F

Forecast Period	2027-2031
Market Size (2025)	USD 189.23 Million
CAGR (2026-2031)	7.55%
Fastest Growing Segment	Electronic Health Records (EHR)
Largest Market	North America
Market Size (2031)	USD 292.85 Million

Market Overview

The Global Agentic AI In Healthcare Market will grow from USD 189.23 Million in 2025 to USD 292.85 Million by 2031 at a 7.55% CAGR. Agentic AI in healthcare is defined as a class of autonomous systems capable of perceiving clinical environments, reasoning through complex data, and executing goal-oriented tasks such as patient triage or treatment planning with minimal human intervention. The primary drivers supporting this market’s growth are the critical need to alleviate workforce burnout and the imperative to enhance operational throughput within overwhelmed health systems. This accelerating demand for automated support is reflected in recent adoption metrics; according to the American Medical Association, in 2024, 66% of physicians reported using healthcare AI tools, indicating a robust infrastructural readiness for these autonomous capabilities.

However, a significant challenge impeding market expansion is the complex regulatory landscape regarding professional liability and accountability. The ambiguity surrounding legal responsibility for errors committed by autonomous agents creates substantial risk for healthcare providers and technology developers. Without clear governance frameworks distinguishing between machine execution and human oversight, institutional hesitancy regarding patient safety and litigation may delay the widespread integration of agentic systems into sensitive clinical workflows.

Key Market Drivers

The mitigation of critical healthcare workforce shortages and clinician burnout serves as a paramount driver for the deployment of agentic AI systems. These autonomous agents are increasingly utilized to offload cognitive burdens by independently managing electronic health records, coordinating patient triage, and executing administrative workflows, thereby reducing the operational strain that contributes to provider fatigue. The urgency of this application is underscored by the inefficiencies currently plaguing medical staff; according to Philips, May 2025, in the 'Future Health Index 2025' report, over 75% of healthcare professionals report losing clinical time due to incomplete or inaccessible patient data, highlighting the immediate necessity for intelligent systems capable of retrieving and reasoning through information without constant human oversight.

Concurrently, the acceleration of pharmaceutical drug discovery and clinical trial optimization is propelling market growth. Agentic AI moves beyond static analysis to actively hypothesize molecular structures and simulate trial outcomes, significantly compressing the timeline from concept to commercialization. This shift toward autonomous R&D is evidenced by rapid industry uptake; according to NVIDIA, August 2025, in the 'State of AI in Healthcare and Life Sciences: 2025 Trends' report, 69% of pharmaceutical and biotechnology firms are now actively using generative AI technologies to drive innovation. This targeted adoption reflects a broader systemic transition, as noted by SS&C Blue Prism, April 2025, in the 'Global Enterprise AI Survey 2025', where 94% of healthcare organizations now view AI as core to their operations.

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Key Market Challenges

The complex regulatory landscape regarding professional liability and accountability acts as a significant brake on the "Global Agentic AI In Healthcare Market." Because agentic systems operate autonomously to perceive and reason through clinical data, they obscure the traditional lines of malpractice responsibility. When errors occur, the lack of distinct legal frameworks distinguishing between algorithm-induced faults and human oversight failures creates an unacceptable risk profile for healthcare institutions. Consequently, providers are reluctant to integrate these technologies into sensitive workflows, fearing that current laws leave them vulnerable to extensive litigation for decisions made by non-human agents.

This hesitation is quantitatively supported by recent industry sentiment regarding governance. According to the American Medical Association, in 2024, 47% of physicians identified increased regulatory oversight as the top priority required to establish trust in AI-driven healthcare tools. This figure highlights that the market's technological capability is outpacing its governance structures; without the safeguards of clear accountability standards, the workforce remains wary. Until these regulatory ambiguities are resolved to protect providers from undefined liability, the adoption of agentic AI will likely remain stalled at the pilot stage rather than progressing to widespread commercial implementation.

Key Market Trends

The Evolution from Generative Assistants to Autonomous Action Executors represents a fundamental technological shift where systems move beyond passive content generation to independently closing complex operational loops. Unlike early copilot models that required constant human prompting, these advanced agents now possess the agency to navigate domain-specific workflows, such as executing inventory procurements or finalizing diagnostic pre-screenings, with minimal supervision. This transition toward domain-centric autonomy is rapidly gaining traction across the industry; according to Forbes, October 2025, in the 'AI Adoption In Healthcare Is Surging' article, 22% of healthcare organizations have already implemented domain-specific AI tools, marking a seven-fold increase in adoption compared to the previous year.

Simultaneously, the Emergence of Role-Specific Digital Workforce Platforms is transforming how health systems acquire and deploy artificial intelligence. Instead of building custom solutions from scratch, organizations are increasingly subscribing to extensive libraries of pre-trained agents designed to function as specialized digital employees for tasks ranging from supply chain optimization to financial reconciliation. Major technology vendors are aggressively capitalizing on this demand by pivoting from general-purpose toolkits to turnkey agent marketplaces; according to CRN, October 2025, in the 'Analysis: How Oracle Is Differentiating For The Agentic AI Era' article, Oracle now offers more than 400 specialized AI agents within its Fusion application suite, enabling institutions to rapidly scale their autonomous capabilities.

Segmental Insights

The Electronic Health Records (EHR) segment is currently positioning itself as the fastest-growing component of the Global Agentic AI in Healthcare Market. This rapid expansion is primarily driven by the industry-wide imperative to mitigate clinician burnout and resolve substantial administrative inefficiencies. Unlike traditional passive systems, agentic AI empowers EHR platforms to autonomously execute complex multi-step workflows, such as clinical documentation, medical coding, and patient history retrieval, with minimal human oversight. Market analysis indicates that healthcare organizations are prioritizing these autonomous solutions to transform record systems into active operational tools, thereby significantly enhancing productivity and data interoperability.

Regional Insights

North America maintains a leading position in the Global Agentic AI in Healthcare market, driven by substantial investments in artificial intelligence and a strong concentration of technology developers. The United States specifically fosters growth through established infrastructure and the presence of major industry players that drive innovation in autonomous medical systems. Additionally, the United States Food and Drug Administration provides structured regulatory pathways for artificial intelligence and machine learning-based medical devices, which accelerates the commercialization of these technologies. This combination of capital, regulatory clarity, and technological capacity enables the widespread integration of agentic AI solutions across clinical settings.

Recent Developments

• In July 2025, Ambience Healthcare secured a major investment of $243 million in a Series C funding round to expand its AI operating system for healthcare organizations. The company’s platform features a suite of autonomous agents, including an automated medical scribe and a clinical documentation integrity assistant, which listen to clinician-patient conversations and generate specialty-specific notes and codes in real-time. This capital injection, supported by major venture firms and healthcare-focused investors, highlights the growing market reliance on ambient and agentic AI technologies to streamline clinical documentation, improve coding accuracy, and alleviate the administrative burden on hospital systems nationwide.
• In October 2024, Salesforce launched Agentforce, a new layer on its platform that enables healthcare organizations to deploy autonomous AI agents for various patient service and care management tasks. These agents go beyond traditional chatbots by using advanced reasoning to independently perform actions such as scheduling appointments, verifying insurance benefits, and summarizing patient medical history for care coordinators. The launch introduced dedicated agents for healthcare and life sciences, allowing providers to scale their workforce on-demand and resolve patient inquiries more efficiently without constant human intervention, marking a significant shift toward agentic AI in patient engagement.
• In June 2024, Oracle announced the general availability of its Clinical Digital Assistant, a generative AI-powered solution designed to transform ambulatory clinics by automating administrative tasks and clinical workflows. Integrated directly with the Oracle Health Electronic Health Record (EHR), this mobile-enabled tool uses multimodal voice and screen interactions to draft clinical notes, propose follow-up actions, and schedule appointments autonomously during patient visits. By allowing the AI to handle documentation and order entry in real-time, the solution enables healthcare providers to reduce manual data entry significantly and focus their full attention on patient care, thereby mitigating clinician burnout.
• In March 2024, Hippocratic AI and NVIDIA announced a strategic collaboration to develop generative AI-powered healthcare agents capable of outperforming human nurses in specific non-diagnostic tasks. This partnership leverages NVIDIA’s specialized healthcare computing stack to power Hippocratic AI’s safety-focused large language model, which is designed to handle low-risk, patient-facing interactions such as chronic care management and pre-operative outreach. The collaboration aims to address global healthcare staffing shortages by deploying empathetic, voice-enabled digital agents that can engage patients in real-time, delivering super-low-latency conversational responses to improve patient outcomes and operational efficiency.

Key Market Players

• nVIDIA Corporation
• Oracle Corporation
• Microsoft Corporation
• Thoughtful Automation Inc.
• Hippocratic AI Inc.
• Cognigy GmbH
• Amelia US LLC
• Beam AI Inc.
• Momentum AI (Momentum)
• Notable Health

By Product	By Application	By Region
Ready-to-Deploy Agents Multi Agent Systems	Medical Imaging Personalized Treatment & Drug Discovery Electronic Health Records (EHR) Remote Patient Care Genomic Data Analysis Chronic Disease Management Others	North America Europe Asia Pacific South America Middle East & Africa

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