PUBLISHER: TechSci Research | PRODUCT CODE: 1703313
PUBLISHER: TechSci Research | PRODUCT CODE: 1703313
We offer 8 hour analyst time for an additional research. Please contact us for the details.
Global Agentic AI in healthcare market was valued at USD 176.21 million in 2024 and is projected to reach USD 262.68 million by 2030, growing at a compound annual growth rate (CAGR) of 7.08% during the forecast period. This market is witnessing robust growth, driven by the rising demand for advanced technologies that enhance healthcare delivery, improve patient outcomes, and boost operational efficiency.
Market Overview | |
---|---|
Forecast Period | 2026-2030 |
Market Size 2024 | USD 176.21 Million |
Market Size 2030 | USD 262.68 Million |
CAGR 2025-2030 | 7.08% |
Fastest Growing Segment | Ready-to-Deploy Agents |
Largest Market | North America |
Agentic AI-an advanced subset of artificial intelligence capable of autonomous decision-making and interaction-is transforming healthcare systems globally. By harnessing data-driven insights and sophisticated algorithms, Agentic AI is revolutionizing key aspects of healthcare, including diagnostics, treatment planning, administrative processes, and patient management.
A major catalyst behind this growth is the exponential increase in healthcare data. With the widespread adoption of electronic health records (EHRs), wearable health technologies, and medical imaging, healthcare providers are generating and managing vast volumes of data daily. Agentic AI enables real-time data analysis and interpretation, offering healthcare professionals actionable insights that support more accurate and timely decision-making. For instance, AI-powered diagnostic tools can assess medical images such as X-rays and MRIs to identify anomalies or predict disease risks, thereby significantly enhancing diagnostic accuracy.
Key Market Drivers
Expansion of the Healthcare Sector
The rapid expansion of the global healthcare sector is a primary driver for the Agentic AI market. As healthcare systems continue to evolve, there is a heightened demand for innovative solutions that enhance efficiency, reduce operational costs, and improve clinical outcomes. Agentic AI systems-designed to perform specific tasks autonomously-are being increasingly integrated into healthcare workflows to address these needs.
Another significant factor accelerating adoption is the growing complexity of healthcare delivery, compounded by shifting global demographics. By 2050, approximately 80% of the elderly population will reside in low- and middle-income countries. The pace of population aging is unprecedented: in 2020, the number of individuals aged 60 and above surpassed that of children under five. Between 2015 and 2050, the share of the global population aged 60+ is projected to rise from 12% to 22%. As patient populations expand and age, healthcare providers face increasing pressure to deliver high-quality care while managing costs and maintaining operational efficiency.
Key Market Challenges
High Costs of Development and Implementation
Despite its transformative potential, the adoption of Agentic AI in healthcare faces a significant challenge in terms of high development and implementation costs. The financial burden associated with the research, development, deployment, and ongoing maintenance of Agentic AI technologies presents a major obstacle for many healthcare institutions and technology vendors.
Developing robust Agentic AI systems requires substantial upfront investment in data acquisition, algorithm development, and system integration. These solutions must be exceptionally accurate and dependable, given the high stakes associated with patient care. The complexity and rigor of the research and development process often necessitate large-scale investments and extended development timelines, making the path to commercialization challenging.
Key Market Trends
Growth in Robotic Surgery and AI-Driven Procedures
One of the most prominent trends shaping the Agentic AI in healthcare market is the increasing adoption of robotic surgery and AI-assisted medical procedures. Technological advancements are rapidly redefining clinical and surgical practices, with robotic systems and AI technologies delivering significant gains in precision, efficiency, and patient outcomes.
Robotic surgery, known for its ability to enable minimally invasive and highly precise procedures, is gaining widespread acceptance across multiple medical specialties, including cardiology, orthopedics, neurology, and general surgery. Globally, over 76,000 surgeons have been trained to use da Vinci systems, with more than 14 million procedures performed using this technology. These systems are authorized for a wide range of surgical applications.
When enhanced with AI capabilities, robotic platforms can analyze patient data in real time, support clinical decision-making, and assist surgeons in executing complex procedures. AI-driven systems offer predictive analytics, risk assessments, and customized surgical strategies based on each patient's unique medical profile, significantly optimizing surgical outcomes.
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:
Company Profiles: Detailed analysis of the major companies present in the Global Agentic AI In Healthcare Market.
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: