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, 2020-2030F

Market Overview

Global Agentic AI In Healthcare Market was valued at USD 176.21 Million in 2024 and is expected to reach USD 262.68 Million by 2030 with a CAGR of 7.08% during the forecast period. The global Agentic AI in healthcare market is experiencing rapid expansion, driven by the increasing demand for advanced technologies that can optimize healthcare delivery, improve patient outcomes, and enhance operational efficiency. Agentic AI, a branch of artificial intelligence that is capable of performing autonomous decision-making tasks and interactions, is revolutionizing healthcare systems across the globe. By leveraging data-driven insights and sophisticated algorithms, Agentic AI solutions are transforming various aspects of healthcare, from diagnostics and treatment planning to administrative functions and patient management.

One of the most significant drivers of this market is the growing volume of healthcare data generated daily. With the widespread adoption of electronic health records (EHRs), wearable devices, and medical imaging technologies, healthcare systems are collecting vast amounts of patient data. Agentic AI can process and analyze this data in real-time, providing healthcare professionals with actionable insights that help in making more accurate and timely decisions. For instance, AI-driven diagnostic tools can analyze medical images, such as X-rays and MRIs, to detect abnormalities or predict the likelihood of certain diseases, significantly enhancing the diagnostic process.

The adoption of Agentic AI in healthcare, however, does come with its own set of challenges. Data privacy and security remain a primary concern, as the integration of AI into healthcare systems involves handling sensitive patient data. Ensuring compliance with regulations such as the Health Insurance Portability and Accountability Act (HIPAA) in the U.S. or the General Data Protection Regulation (GDPR) in Europe is essential to safeguarding patient information. Additionally, the lack of transparency in some AI algorithms, often referred to as the "black box" problem, poses a challenge to gaining trust from healthcare professionals and patients alike.

Key Market Drivers

Growth in Healthcare Industry

The growth of the healthcare industry is a significant driver of the global Agentic AI in healthcare market. As healthcare systems worldwide continue to evolve, there is a growing demand for innovative technologies that can enhance operational efficiency, improve patient outcomes, and reduce costs. Agentic AI, which refers to AI systems designed to perform specific tasks autonomously, is increasingly being integrated into healthcare workflows to meet these demands, contributing to the rapid expansion of the market.

One of the primary factors fueling the adoption of Agentic AI in healthcare is the increasing complexity of healthcare delivery. All nations are confronted with significant challenges in preparing their healthcare and social systems to effectively respond to the demographic shift. By 2050, 80% of the elderly population will reside in low- and middle-income countries. The rate of population aging is accelerating at an unprecedented pace. In 2020, the number of individuals aged 60 and above surpassed the number of children under five. From 2015 to 2050, the proportion of the global population over 60 will nearly double, increasing from 12% to 22%. As patient populations grow and age, healthcare providers face mounting pressure to deliver high-quality care while managing costs and improving operational efficiency.

Agentic AI systems, capable of performing tasks such as automated diagnostics, treatment planning, and patient management, offer substantial benefits by relieving clinicians of routine, repetitive tasks, allowing them to focus on more complex aspects of care. This is particularly important in managing chronic diseases, such as diabetes and cardiovascular conditions, where AI can monitor patient health data in real time and recommend timely interventions.

Surge in Technological Advancements

The surge in technological advancements is emerging as a pivotal driver of growth in the global agentic AI in healthcare market. As artificial intelligence (AI) continues to evolve, its integration into healthcare systems has expanded dramatically, with agentic AI – a form of AI capable of autonomous decision-making and performing tasks with minimal human intervention – leading the charge. This technology is transforming healthcare by enhancing diagnostic accuracy, optimizing treatment plans, improving patient outcomes, and reducing operational costs, making it a key enabler of innovation in the sector.

One of the primary factors driving the growth of agentic AI in healthcare is the significant advancements in machine learning (ML), deep learning, and natural language processing (NLP) technologies. A key application of Agentic AI in healthcare lies in diagnostics and medical imaging. For instance, AI-driven imaging tools can detect conditions such as cancer at early stages, facilitating prompt intervention. Additionally, these systems continuously evolve by learning from extensive datasets, enhancing their diagnostic precision over time.

These innovations have enhanced the capabilities of AI systems, enabling them to analyze vast amounts of healthcare data, including medical records, imaging, genomics, and real-time patient data, at a speed and accuracy far beyond human capabilities. Agentic AI systems, leveraging these advancements, can autonomously make complex decisions, such as identifying patterns in medical data, diagnosing diseases, and recommending personalized treatment regimens. Chatbots can assist patients in scheduling appointments, assessing symptoms, and receiving medication reminders. They also deliver immediate responses to common inquiries regarding healthcare services, minimizing the need for phone calls or in-person visits. When integrated into a healthcare provider’s system, an AI-powered chatbot can help patients navigate insurance claims, manage prescription refills, and provide post-treatment care instructions. This integration ensures prompt, accurate, and accessible service, enhancing both patient satisfaction and operational efficiency.

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Key Market Challenges

High Development and Implementation Costs

High development and implementation costs represent a significant challenge in the global Agentic AI in healthcare market. While the potential benefits of Agentic AI—such as improved patient outcomes, streamlined operations, and enhanced decision-making—are clear, the financial investment required to develop, deploy, and maintain these technologies remains a substantial barrier for many healthcare providers and technology developers.

The development of Agentic AI solutions requires substantial upfront capital for research, data collection, and the creation of sophisticated algorithms. Building AI systems capable of autonomously making decisions in healthcare settings requires advanced programming, machine learning models, and integration with existing healthcare infrastructure. These systems must be highly accurate and reliable, as errors could have serious consequences for patient care. As a result, the R&D process is both time-consuming and costly, often requiring substantial investments from companies involved in the development of AI technologies.

Key Market Trends

Rise in Robotic Surgery and AI-Assisted Procedures

The rise of robotic surgery and AI-assisted procedures is a defining trend in the global Agentic AI in healthcare market. As technological advancements continue to reshape the healthcare landscape, the integration of robotic systems and AI-driven technologies in surgical and clinical procedures is driving significant improvements in both patient outcomes and operational efficiency. This trend is revolutionizing the way surgeries are performed and is increasingly adopted across a wide range of medical specialties, including cardiology, orthopedics, neurology, and general surgery.

Robotic surgery, which utilizes advanced robotics to assist surgeons in performing highly precise and minimally invasive procedures, is rapidly gaining popularity due to its ability to enhance the accuracy, control, and flexibility of surgical interventions. Over 76,000 surgeons worldwide have been trained on da Vinci systems, performing more than 14 million surgical procedures with this technology. Da Vinci surgical systems are approved by relevant regulatory authorities for use in a variety of surgical procedures. When combined with AI capabilities, robotic systems can perform real-time analysis of the patient’s condition, assist in decision-making, and guide the surgeon through complex procedures. AI algorithms, integrated into robotic surgical platforms, can provide insights such as predictive analytics, risk assessments, and optimal surgical pathways based on the patient’s unique characteristics and medical history.

Segmental Insights

Product Insights

Based on Product, Ready-to-Deploy Agents have emerged as the fastest growing segment in the Global Agentic AI In Healthcare Market in 2024. One of the primary factors driving the growth of ready-to-deploy agents is their ability to address the urgent demand for rapid AI adoption in healthcare environments. Healthcare organizations face increasing pressure to improve patient outcomes, reduce costs, and enhance operational efficiency. Ready-to-deploy agents provide a turnkey solution, offering healthcare providers immediate access to advanced AI capabilities without the need for extensive customization or time-consuming development processes. These agents come with pre-built algorithms and workflows that can be swiftly integrated into existing systems, allowing healthcare organizations to begin realizing the benefits of AI from day one.

Application Insights

Based on Application, Medical Imaging have emerged as the fastest growing segment in the Global Agentic AI In Healthcare Market during the forecast period. AI’s ability to analyze medical images with high accuracy and speed has positioned it as a game-changer in the field of medical imaging. Agentic AI systems can process large volumes of complex imaging data, such as CT scans, MRIs, and X-rays, and provide accurate diagnoses faster than traditional methods. AI algorithms can detect subtle patterns that might be overlooked by human radiologists, which improves diagnostic precision, reduces errors, and ultimately leads to better patient outcomes. This capacity for advanced diagnostic support has fueled the growth of AI in medical imaging.

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Regional Insights

Based on Region, North America have emerged as the dominating region in the Global Agentic AI In Healthcare Market in 2024. North America, particularly the United States and Canada, is home to cutting-edge technology hubs and world-leading research institutions. The region has a strong foundation in AI and machine learning, driving rapid advancements in healthcare AI applications. The availability of high-performance computing resources and AI expertise enables the development and deployment of sophisticated agentic AI solutions in healthcare settings.

Recent Development

• In February 2025, Salesforce introduced a library of pre-built AI tools specifically designed for healthcare. The platform, "Agentforce for Health," utilizes agentic AI, which, in contrast to traditional AI assistants, operates with a higher degree of autonomy. The product offers various functionalities, including patient access and service capabilities such as answering inquiries and verifying patient eligibility with insurers. It also includes public health features to assist organizations in monitoring the spread of infections, as well as clinical capabilities to expedite research and development in the fields of pharmaceuticals and medical devices.
• In February 2025, VoiceCare AI, a healthcare administration general intelligence (HAGI) company, revealed its plans to automate back-office operations and enhance workforce capabilities through the use of generative AI. The company’s agentic architecture platform is designed to streamline administrative tasks and significantly boost operational efficiency. With USD 3.85 million in funding, led by Caduceus Capital Partners and supported by Bread and Butter Ventures, VoiceCare AI aims to enhance patient access, adherence, and outcomes while prioritizing patient engagement within the healthcare sector.
• In March 2025, Firstsource Solutions Limited, a subsidiary of the RP-Sanjiv Goenka Group, announced the launch of its Agentic AI Studio, a solution aimed at reshaping the future of work. As part of the innovative Firstsource relAI suite, which includes AI-powered platforms, solutions, and services, the Agentic AI Studio redefines human work by breaking it down into specialized tasks carried out by AI-driven agents—each with a distinct role and purpose. These intelligent AI task models collaborate seamlessly, optimizing processes for enhanced efficiency and precision. By adopting this integrated approach, organizations can leverage collective intelligence to drive transformative innovation, achieve operational excellence, and deliver superior business outcomes—all while ensuring responsible AI implementation.
• In February 2025, Innovaccer launched a collection of pretrained, voice-activated AI agents designed to engage with patients for appointment scheduling, protocol intake, referral management, and responding to routine patient inquiries. This suite of eight AI agents also addresses functions such as prior authorization, care gap closure, hierarchical condition category coding, and transitional care management. These agents will assist various care teams, including clinicians, care managers, risk coders, patient navigators, and call center agents.

Key Market Players

• NVIDIA Corporation
• Oracle Corporation
• GE HealthCare Technologies Inc.
• Thoughtful Automation Inc.
• Hippocratic AI Inc.
• Cognigy GmbH
• Amelia US LLC
• Beam AI Inc.
• Mindsprint Pte. Ltd.
• Hyro AI Inc.

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:

o   Ready-to-Deploy Agents

o   Multi Agent Systems

• Agentic AI In Healthcare Market, By Application:

o   Medical Imaging

o   Personalized Treatment & Drug Discovery

o   Electronic Health Records (EHR)

o   Remote Patient Care

o   Genomic Data Analysis

o   Chronic Disease Management

o   Others

• Agentic AI In Healthcare Market, By Region:

o   North America

§  United States

§  Canada

§  Mexico

o   Europe

§  France

§  United Kingdom

§  Italy

§  Germany

§  Spain

o   Asia Pacific

§  China

§  India

§  Japan

§  Australia

§  South Korea

o   South America

§  Brazil

§  Argentina

§  Colombia

o   Middle East & Africa

§  South Africa

§  Saudi Arabia

§  UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Agentic AI In Healthcare Market.

Available Customizations:

Global Agentic AI In Healthcare Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

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