AI Agents in Healthcare Market worth $6.92 billion by 2030
The report "AI Agents in Healthcare Market by Function (Scheduling, Billing, Diagnostic, Treatment, RPM, Telehealth), Offering (Multi-Agent), Architecture (Contextual, Conversational), End User (Hospital, ACS, Imaging Center), Trends, Growth - Global Forecast to 2030" is projected to grow from USD 1.11 billion in 2025 and to reach USD 6.92 billion by 2030, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.
Browse 550 market data Tables and 61 Figures spread through 530 Pages and in-depth TOC on "AI Agents in Healthcare Market by Function (Scheduling, Billing, Diagnostic, Treatment, RPM, Telehealth), Offering (Multi-Agent), Architecture (Contextual, Conversational), End User (Hospital, ACS, Imaging Center), Trends, Growth - Global Forecast to 2030"
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AI agents in healthcare are expanding rapidly as payers, providers, and life sciences firms use autonomous AI systems more frequently to handle growing patient loads, staffing shortages, and operational inefficiencies. Ongoing developments in generative AI, natural language processing, and real-time interaction with EHRs are enabling AI agents to be used in patient engagement, administrative automation, clinical decision support, and care coordination. To lessen the administrative burden on clinicians and increase workflow efficiency, Epic Systems has integrated AI agents into its EHR platform to automate patient message answers, support clinical documentation, and summarize charts.
“Clinical applications are growing at the fastest rate during the forecast period, by application.”
By application, the clinical applications segment is growing at the fastest rate during the forecast period, as it directly affects clinical effectiveness and patient care. To support tasks such as early illness identification, diagnostic prioritization, clinical decision support, and care coordination, AI agents are becoming increasingly integrated into clinical processes. Strong adoption of AI agents across clinical use cases is facilitated by these agents' ability to autonomously carry out multi-step clinical activities, improve turnaround times, and enable more prompt treatments by interfacing with core healthcare systems.
“The multi-agent system is growing at the fastest rate during the forecast period, by offering.”
By offering, the multi-agent system is expected to grow at the fastest rate during the forecast period, driven by its ability to coordinate multiple AI agents across clinical, operational, and analytical workflows. As healthcare organizations move beyond single-task automation toward more complex, end-to-end use cases, multi-agent architectures enable seamless collaboration between pattern recognition, contextual, conversational, and analytical agents. Their flexibility, scalability, and capacity to deliver integrated decision support are accelerating adoption across hospitals, diagnostic centers, and healthcare enterprises, positioning multi-agent systems as the fastest-growing segment in this market.
“Healthcare providers form the fastest-growing end-user segment.”
By end user, healthcare providers are growing at the fastest rate during the forecast period as agentic AI is being used by hospitals, clinics, and integrated delivery networks to support operational and clinical procedures. In order to automate patient intake, triage, diagnostic priority, care coordination, and clinical recording, providers link AI agents with key systems like EHRs, imaging platforms, and scheduling tools. Healthcare providers are positioned as the primary drivers of demand and utilization within the AI agent in healthcare market due to their direct engagement in care delivery, the need to increase efficiency, manage workforce restrictions, and improve patient outcomes.
The key players functioning in the AI agent in healthcare market include Oracle (US), Microsoft (US), IBM (US) Google (US), Amazon Web Services, Inc. (US), NVIDIA Corporation (US), NextGen Invent Corp (US), Automation Anywhere, Inc. (US), Innovaccer (US), SoundHound AI Inc. (US), CitiusTech Inc. (US), Databricks (US), Salesforce, Inc. (US), Kore.ai Inc. (US), LivePerson (US), LeewayHertz (US), Gupshup (US), and Irisity AB (Sweden).
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