AI in Clinical Workflow Market to Reach US$11 Billion by 2030

The global market for AI in clinical workflow is expected to expand rapidly over the next five years, driven by rising patient volumes, workforce constraints, and growing pressure on health systems to improve efficiency. According to MarketsandMarkets, the AI in clinical workflow market is projected to grow from about US$2.78 billion in 2025 to US$11.08 billion by 2030, reflecting a compound annual growth rate of 31.9%.

AI for clinical workflow refers to the application of technologies such as machine learning, natural language processing, and computer vision to support clinical, imaging, and administrative processes. These tools are increasingly used to help physicians, nurses, care coordinators, and hospital administrators manage documentation, diagnostics, and care coordination while reducing manual workloads and decision-making time.

“One of the main benefits of AI in healthcare is expanded access and efficiency: more time, more patients getting care,” writes Waleed Mohsen, Founder and CEO, Verbal, on MBN.

This aligns with recent findings from the the American Association of Nurse Practitioners (AANP), which indicate that AI is also anticipated to take on an expanding function in healthcare operations, reports MBN. According to AANP, AI tools will increasingly support diagnostics, risk assessment, documentation, and administrative processes. While these systems are designed to improve efficiency, the organization emphasizes that nurse practitioners will be central to ensuring AI is implemented responsibly and ethically, reinforcing rather than weakening the patient-provider relationship.

​​”Technology is becoming the trusted backbone of healthcare, working behind the scenes to make the system less about bureaucracy and more about people,” writes César Marrón on MBN. 

Market adoption to date has been strongest in general and multi-specialty settings. In 2024, the general or multi-specialty segment accounted for the largest share of the market by specialty, reflecting the flexibility of AI-enabled workflow tools across a broad range of care areas. General and multi-specialty providers tend to deploy end-to-end workflow solutions, while single-specialty facilities more often rely on tools tailored to specific clinical use cases.

By function, diagnostics and results interpretation represented the largest segment of the market in 2024. Demand in this area has been driven by the growing volume and complexity of clinical data, including medical images, laboratory findings, and diagnostic reports. AI-supported analysis can improve accuracy and reduce interpretation time, supporting clinical decision-making in high-volume care environments.

Inpatient facilities were the largest end-user segment in 2024, according to the report. Hospitals and other inpatient settings face complex care pathways, extensive documentation requirements, and high patient throughput, creating strong demand for AI-enabled tools that support diagnostics, care coordination, and administrative automation. Inpatient providers also tend to have larger IT budgets and more established digital infrastructure, supporting the adoption of integrated AI platforms.

From a regional perspective, North America led the global AI in the clinical workflow market in 2024. MarketsandMarkets attributes this position to mature IT infrastructure, widespread adoption of electronic health record systems, and early uptake of AI-enabled clinical decision support solutions. The region has also benefited from favorable payment structures, a shift toward value-based care models and sustained investment by hospitals and integrated delivery networks aimed at improving operational efficiency and care quality.

While AI is gaining traction within health systems as a tool to support clinical operations and care delivery, its role in patient-facing experiences remains more cautious. Patients are beginning to integrate AI into their health journeys, primarily as an entry point for health information, though concerns about accuracy, privacy, and diminished human interaction persist, reports MBN.

Health Union’s 2025 Connected Health Experiences and Perceptions of AI Survey polled more than 6,000 patients living with 49 chronic conditions. Conducted by the company’s Insights team, the research examined how patients use technology-enabled health tools and how they perceive the growing role of AI in health management.

The findings show that users are beginning to adopt AI but remain cautious. One-third of respondents reported having used an AI tool such as ChatGPT or Google Gemini for any purpose, while 18 % said they had used AI specifically to seek health-related information. These uses included initial questions about symptoms, medications, or test results, positioning AI as an early research step rather than a definitive source.