Agentic AI In Healthcare Market Size, Share & Trends Analysis Report By Agent System (Single Agent Systems, Multi Agent Systems), By Technology (Machine Learning, NLP), By Product, By Application, By End-use, By Region, And Segment Forecasts, 2025 - 2030

Agentic AI In Healthcare Market Trends

The global agentic AI in healthcare market size was estimated at USD 538.51 million in 2024 and is projected to grow at a CAGR of 45.56% from 2025 to 2030. The rising automation of repetitive tasks, growing focus on cost and resource optimization, and increasing adoption of enhanced patient care solutions are factors contributing to market growth. In addition, AI agents help accelerate research and drug development processes in healthcare.

The adoption of Agentic AI in healthcare is accelerating, driven by its ability to automate repetitive tasks and enhance operational efficiency. Administrative processes such as data entry, claims processing, and patient scheduling often demand significant time and are prone to human errors. AI-driven agents are streamlining these functions, reducing manual effort and enabling healthcare staff to focus on higher-value tasks. For instance, in February 2025, VoiceCare AI launched a pilot program with the Mayo Clinic to automate back-office operations using agentic AI technology. This initiative aims to optimize administrative workflows, minimize errors, and improve efficiency, allowing healthcare providers to dedicate more time to patient care.

Automation also enhances accuracy, lowers operational costs, and speeds up processes. A key area benefiting from AI-driven efficiency is insurance claims processing, where AI can automatically assess and approve claims, minimizing delays and financial losses. In November 2024, Thoughtful AI introduced a specialized team of AI agents for revenue cycle management (RCM), streamlining workflows for tasks like eligibility verification and claims processing while improving accuracy and cost-effectiveness.

Furthermore, agentic AI is transforming patient care by delivering personalized, data-driven insights that support clinical decision-making. AI-powered tools analyze vast datasets from electronic health records (EHRs), diagnostic devices, and wearables to predict health conditions and recommend tailored treatments. In fields like oncology and cardiology, AI-driven decision support systems assist in early disease detection, improving patient outcomes. AI agents are also expected to monitor patients in real-time, identifying potential health risks and enabling timely interventions.

For instance, in September 2024, Revitalist Lifestyle and Wellness Ltd. partnered with Sama Therapeutics to advance mental health care through a proprietary Digital Human AI Agent, enhancing mental health assessments worldwide.

In addition, AI is revolutionizing research and drug development by analyzing clinical trial data, genetic information, and real-world evidence. AI-driven insights help pharmaceutical companies identify promising drug candidates, predict their efficacy, and streamline clinical trial processes. AI models also simulate biological interactions to accelerate drug discovery. In January 2025, NVIDIA partnered with IQVIA, Illumina, Mayo Clinic, and Arc Institute to enhance drug discovery, advance genomic research, and drive innovation in healthcare through agentic and generative AI.

Agentic AI is rapidly reshaping the healthcare landscape, optimizing operations, enhancing patient care, and accelerating medical breakthroughs. Its integration into various healthcare processes is setting new standards for efficiency, precision, and innovation.

The integration of agentic AI in healthcare is revolutionizing medical services, enhancing diagnostic precision, optimizing operational efficiency, and enabling mass customization of treatments. As healthcare systems evolve, Agentic AI is expected to play a crucial role in autonomous clinical decision-making, real-time patient monitoring, and AI-driven drug discovery, leading to improved patient outcomes and reduced physician workload.

Despite challenges related to data privacy, ethical concerns, and system interoperability, the adoption of responsible AI governance and regulatory frameworks is expected to ensure its seamless and ethical integration. In the coming years, Agentic AI is expected to redefine healthcare workflows, making them more intelligent, predictive, and personalized, ultimately transforming the industry into a more efficient, proactive, and patient-centric ecosystem.

Market Concentration & Characteristics

The chart below illustrates the relationship between industry concentration, industry characteristics, and industry participants. The x-axis represents the level of industry concentration, ranging from low to high. The y-axis represents various industry characteristics, including industry competition, level of partnerships & collaboration activities, degree of innovation, impact of regulations, and regional expansion. The agentic AI in healthcare industry is fragmented, with the presence of several emerging solution providers dominating the market. The degree of innovation is high, and the level of partnerships & collaboration activities is moderate. The impact of regulations on industry and the regional expansion of the industry is high.

The agentic AI in healthcare industry experiences a high degree of innovation driven by technological advancements. The increasing adoption of healthcare IT solutions in revenue cycle management, drug discovery, personalized treatments, and hospital administration supports new innovations in the market. For instance, in February 2025, Innovaccer launched Agents of Care-a suite of pre-trained AI Agents. This suite is expected to alleviate the strain of administrative overload in healthcare.

“Healthcare needs more than fragmented, point solutions. It needs a unified, intelligent orchestration of AI capabilities,”

-Abhinav Shashank, Co-founder and CEO of Innovaccer.

“With Agents of Care, we’re redefining what AI can do for healthcare - delivering human-like efficiency while allowing care teams to focus on what truly matters: their patients.”

The industry is experiencing a moderate level of merger and acquisition activities undertaken by several key players. This is due to the desire to gain a competitive advantage in the industry, enhance technological capabilities, and consolidate in a rapidly growing market.

Regulations, such as the HIPAA in the U.S. and the GDPR in Europe, establish standards for safeguarding patient data privacy and security. Compliance with these regulations is crucial for AI applications in healthcare to ensure the safe and secure handling of patient information, reducing the risk of data breaches and unauthorized access.

Companies within the agentic AI sector seek geographic expansion strategies to maintain their foothold in emerging markets and attract customers from these regions.Moreover, the industry is witnessing moderate geographical expansion, driven by an increasing customer base for agentic AI software. With the growing adoption of digital healthcare solutions, the market is expected to grow significantly in the coming years, especially in developing countries.

Agent System Insights

Based on agent systems, the single agent systems segment dominated the market with the largest revenue share of 60.04% in 2024, as these systems are simpler to design and implement compared to multi-agent systems. They are a single autonomous AI entity that operates independently and is designed to handle responsibilities without the need for collaboration with other agents. They are programmed to execute predefined actions based on input data, making decisions and taking actions autonomously within their designated scope.

Furthermore, the multi-agent system segment is expected to grow at the fastest CAGR from 2025 to 2030. Multi-agent systems (MAS) are computational frameworks composed of several independent agents collaborating to address complex challenges. Each MAS agent makes decisions, communicates with other agents, and performs tasks independently or collaboratively. This architecture allows for the distribution of tasks among various specialized agents, enhancing the overall efficiency and effectiveness of problem-solving processes. For instance, in January 2025, Cognizant introduced the Neuro AI Multi-Agent Accelerator and Multi-Agent Service Suite, allowing healthcare organizations to optimize their business processes, improve operational efficiency, and provide personalized customer experiences.

Product Insights

Based on product, the ready-to-deploy agents segment held the largest revenue share of 64.18% in 2024. This growth is attributed to their rapid implementation ability, cost efficiency, enhanced scalability, and decision-making ability. Equipped with advanced algorithms and machine learning capabilities, ready-to-deploy AI agents enhance decision-making processes within healthcare settings. They analyze vast amounts of data quickly and accurately, providing insights that help clinicians make informed choices regarding patient care, resource allocation, and treatment protocols. In addition, these agents allow interoperability for smoother data exchange between different platforms, such as electronic health records (EHRs) and billing systems, thereby reducing data silos and enhancing overall workflow efficiency.

The build-your-own agents segment is expected to register the fastest CAGR over the forecast period. These agents enable healthcare providers to customize AI functionalities based on their unique operational workflows, patient demographics, and clinical practices. This flexibility allows organizations to develop solutions precisely aligned with their goals, improving patient engagement or streamlining administrative processes.

Technology Insights

Based on technology, the machine learning segment held the largest revenue share of 35.75% in 2024. Healthcare systems generate vast amounts of data from various sources, such as patient records, clinical trials, wearable devices, and medical imaging. ML algorithms are able to process and analyze this data to discover hidden patterns, detect diseases early, and assist in personalized treatment plans. In addition, ML can predict patient outcomes, detect the risk of diseases (like cancer, diabetes, or heart disease), and anticipate complications before they occur, allowing healthcare providers to intervene early, improving patient outcomes, and reducing treatment costs.

The context-aware computing segment is anticipated to grow at the fastest CAGR from 2025 to 2030, driven by its ability to adapt to the dynamic needs of patients and healthcare professionals in real time. By leveraging real-time data from various sources like wearable devices, sensors, and environmental inputs, context-aware computing in healthcare is anticipated to deliver more personalized, efficient, and proactive care.

Application Insights

Based on application, the medical imaging segment held the largest market share of 19.13% in terms of revenue in 2024. This growth is attributed to the ability of AI agents in enhanced image analysis, increased diagnostic accuracy, and reduced interpretation times, thereby supporting radiologist workflows. AI agents are increasingly being used to automate the interpretation of medical images like X-rays, CT scans, MRIs, and mammograms. AI has the capability to recognize patterns and anomalies that might be challenging for human radiologists to observe. It has shown potential in accurately identifying conditions such as tumors and fractures. This capability is anticipated to aid radiologists in making more accurate diagnoses and serve as a second opinion, increasing diagnostic confidence.

Moreover, personalized treatment & drug discovery segment is expected to grow at the fastest CAGR over the forecast period. AI agents are increasingly used to analyze large-scale genomic data, identifying specific genetic mutations that could influence a patient’s susceptibility to diseases or their response to certain medications. AI’s ability to analyze vast amounts of data, predict outcomes, and tailor treatments to individual patients improves healthcare outcomes and accelerates the development of new therapies.

End Use Insights

Based on end use, the healthcare companies segment held the largest market share of 31.16% in 2024. Healthcare companies are increasingly adopting agentic AI tools and platforms to enhance operational efficiency, improve patient care, and streamline administrative processes. Agentic AI tools help analyze large datasets, including genetic data, protein structures, and chemical properties, to identify potential drug candidates. These tools help predict which compounds might be effective in treating certain diseases, significantly reducing the time and costs of early-stage drug discovery.

The healthcare payers segment is anticipated to grow at the fastest CAGR from 2025 to 2030. Healthcare payers are increasingly adopting agentic AI tools to optimize operations, reduce costs, improve customer experience, and enhance decision-making processes. AI agents are anticipated to detect patterns in claims data that indicate potential fraud and autonomously flag suspicious claims for further review, reducing financial losses from fraud. In addition, they have the ability to analyze historical claims, health records, and lifestyle factors to categorize members based on their health risks. This allows insurers to adjust premiums or offer more tailored plans to individuals based on their specific needs.

Regional Insights

North America agentic AI in healthcare industry held the largest revenue share of 54.85% in 2024. This is attributed to advancements in healthcare IT infrastructure, growing care expenditures, widespread adoption of AI/ML technologies, favorable government initiatives, lucrative funding options, and the presence of several key players. Factors such as the growing geriatric population, changing lifestyles, increasing prevalence of chronic disorders, growing demand for value-based care, and rising awareness levels about the implementation of AI-based technologies are further propelling market growth in North America.

U.S. Agentic AI In Healthcare Market Trends

The Agentic AI in healthcare industry in the U.S. held the largest market share in 2024 in the North America region due to the advancements in medical technology, drug discovery, and increasing demand for efficient and personalized healthcare solutions, coupled with regulatory initiatives and supportive government policies. Moreover, the presence of robust healthcare infrastructure and an increasing use of AI in healthcare fraud analytics propel market growth further.

Europe Agentic AI In Healthcare Market Trends

Europe Agentic AI in healthcare industry is anticipated to witness significant growth during the forecast period. This is attributed to the widespread adoption of AI technologies and increasing investments by government and private organizations. For instance, in February 2025, the European Union announced an investment of approximately USD 200 billion in artificial intelligence at the AI Action Summit in Paris.

“AI will improve our healthcare, spur our research and innovation, and boost our competitiveness.”

-EU Commission President Ursula von der Leyen

Agentic AI in healthcare industry in the UK is expected to grow over the forecast period, owing to the robust healthcare infrastructure and increasing investments in AI technologies to enhance patient care, optimize operations, and tackle various healthcare challenges. For instance, according to gov.uk, private firms invested around USD 250 million investments in AI from July 2024 to January 2025. Similarly, in January 2025, the government introduced the AI Opportunities Action Plan, which includes the creation of AI Growth Zones and an investment of USD 9 billion in the coming five years.

Agentic AI in healthcare industry in Germany held the largest market share in 2024 in the European market, attributed to the increasing investments in healthcare technology and robust R&D infrastructure. In addition, favorable government initiatives propel market growth further.

Asia Pacific Agentic AI In Healthcare Market Trends

Asia Pacific agentic AI in the healthcare industry is projected to experience significant growth in the coming years. Increasing investments from private investors, venture capitalists, and non-profit organizations aimed at enhancing clinical outcomes, improving data analysis and security, and reducing costs are driving adoption rates in the region. In addition, favorable government initiatives that support and promote the adoption of AI-based technologies by healthcare organizations and providers are anticipated to boost market growth. Moreover, rising healthcare expenditure and technological advancements in healthcare IT contribute to market growth.

Japan agentic AI in healthcare industry is expected to grow significantly over the forecast period. Increasing demand for personalized healthcare solutions and the growing adoption of artificial intelligence in healthcare contribute to market growth. In addition, technological advancements and growing government support and initiatives further fuel market growth.

Agentic AI in healthcare industry in China is expected to grow rapidly, owing to the increasing healthcare expenditure and rapid adoption of healthcare IT solutions. Moreover, increasing public and private funding and initiatives propel market growth further. For instance, in December 2024, Fangzhou Inc. hosted an AI summit in Chengdu, strengthening partnerships with Tencent and Baidu. They unveiled the "AI Agent Solution," enhancing healthcare access for consumers and professionals. This collaboration aims to revolutionize Internet healthcare, combining Fangzhou's expertise with Tencent and Baidu's strengths in digital marketing and AI.

Latin America Agentic AI in Healthcare Market Trends

Latin America agentic AI in healthcare industry is anticipated to grow at a significant CAGR over the forecast period, This is attributed to the growing awareness about AI technologies, increasing government spending, and collaboration activities.

Middle East & Africa Agentic AI In Healthcare Market Trends

Middle East and Africa agentic AI in healthcare industry is expected to grow at a significant CAGR over the forecast period. The market is characterized by a dynamic landscape driven by the growing adoption of healthcare IT solutions, increasing healthcare expenditures, and supportive government policies.

Key Agentic AI In Healthcare Company Insights

Key players operating in the agentic AI in healthcare industry are undertaking various initiatives to strengthen their market presence and increase the reach of their products and services. Strategies such as new product launches and partnerships are playing a key role in propelling market growth. Moreover, key players in the healthcare industry, such as GE HealthCare, are developing multi-agent systems in collaboration with Amazon Bedrock to enhance patient care and personalized experiences.

Recent Developments

• In March 2025 Microsoft has the launched of Microsoft Dragon Copilot, innovative-edge AI-powered assistant designed to streamline clinical workflows and enhance patient care. Built on technology from Nuance Communications, a speech recognition and AI leader Microsoft acquired for USD 19.7 billion in 2022, this new solution marks a significant step in healthcare AI innovation.

• In January 2025, Hippocratic AI launched a Healthcare AI Agent App Store, allowing clinicians to create AI agents for patient care and operational efficiency.

• In October 2024, Microsoft launched new AI features in its Microsoft Cloud for Healthcare, designed to improve care experiences. These offerings consist of healthcare AI models for data integration and analysis and a public preview of a healthcare agent service that assists with appointment scheduling and patient triage.

• In March 2024, Hippocratic AI partnered with NVIDIA to create empathetic AI healthcare agents that enable super-low-latency conversational interactions. This collaboration focuses on developing "Empathy Inference," which enhances emotional connections between patients and AI. The agents will assist healthcare providers in non-diagnostic tasks, improving access and patient outcomes through advanced technology.

Agentic AI In Healthcare Market Report Scope

Global Agentic AI In Healthcare Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global agentic AI in healthcare market report based on agent system, product, technology, application, end use, and region:

• Agent System Outlook (Revenue, USD Million, 2018 - 2030)

  • Single Agent Systems

  • Multi Agent Systems

• Product Outlook (Revenue, USD Million, 2018 - 2030)

  • Ready-to-Deploy Agents

  • Build-Your-Own Agents

• Technology Outlook (Revenue, USD Million, 2018 - 2030)

  • 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

  • Computer Vision

• Application Outlook (Revenue, USD Million, 2018 - 2030)

  • 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

• End Use Outlook (Revenue, USD Million, 2018 - 2030)

  • Healthcare Providers

  • Healthcare Companies

  • Academic & Research Institutes

  • Healthcare Payers

  • Others

• Regional Outlook (Revenue, USD Million, 2018 - 2030)

  • North America

    • U.S.

    • Canada

    • Mexico

  • Europe

    • Germany

    • UK

    • France

    • Italy

    • Spain

    • Denmark

    • Sweden

    • Norway

  • Asia Pacific

    • China

    • Japan

    • India

    • South Korea

    • Australia

    • Thailand

  • Latin America

    • Brazil

    • Argentina

  • MEA

    • South Africa

    • Saudi Arabia

    • UAE

    • Kuwait