AI workflow automation in hospitals seen topping $11.4B by 2030
The hospital market for AI-based workflow automation is projected to nearly double by 2030 as providers push harder on digital transformation, efficiency and clinical support tools. North America leads now, while Asia-Pacific is expected to grow fastest.
Why it matters: - Hospitals are under pressure to do more with less, and AI-driven workflow automation is becoming a core tool for reducing manual work, improving care coordination and speeding decisions. - The market is on track to move from a niche digital upgrade to a major healthcare infrastructure category, with revenue projected to cross $11.4 billion by 2030.
What happened: - The Business Research Company published its Artificial Intelligence (AI)-Based Workflow Automation In Hospitals Global Market Report 2026. - The report estimates the market will rise from $5.26 billion in 2025 to $6.16 billion in 2026. - The report projects the market will reach $11.4 billion by 2030. - The 2025-2026 increase reflects a 17.1% CAGR. - The 2026-2030 forecast implies a 16.7% CAGR. - North America held the largest regional share in 2025. - Asia-Pacific is expected to post the fastest growth over the forecast period.
The details: - AI-based workflow automation in hospitals covers the use of artificial intelligence to streamline clinical, administrative and operational processes. - The systems are designed to improve coordination of patient care, reduce reliance on manual labor, boost efficiency and support data-driven decision-making. - The report links recent growth to broader adoption of electronic health records, hospital digitization, rising patient volumes, higher operational burdens, healthcare IT buildout and demand for better care coordination. - The next growth phase is tied to deeper AI integration in hospital operations, broader use of predictive analytics, expanded automated clinical decision support, more cloud-based hospital management systems and greater use of value-based care models. - The report flags several emerging product areas, including clinical workflow orchestration platforms, predictive patient scheduling and resource management, real-time operations dashboards, intelligent electronic health record automation and AI-driven administrative automation. - Digital transformation spending is a key driver as hospitals invest in AI, cloud computing, advanced analytics and automation to cut costs, improve outcomes and manage growing data volumes. - The Organisation for Economic Co-operation and Development reported in November 2025 that online digital health services across member countries rose from 79% in 2023 to 82% in 2024. - The report also covers South East Asia, Western Europe, Eastern Europe, South America, the Middle East and Africa. - The full report is available here. - A free sample is available here.
Between the lines: - The forecast suggests hospital AI spending is shifting from experimental deployments to operational infrastructure. - The emphasis on predictive scheduling, monitoring dashboards and EHR automation points to demand for tools that can handle both clinical flow and back-office pressure. - The OECD digital health data signals that the infrastructure needed to support wider AI adoption is still expanding.
What's next: - Hospitals are likely to keep adding automation tools that connect scheduling, operations, documentation and decision support. - Vendors will compete around interoperability, real-time visibility and measurable efficiency gains. - Growth will likely be strongest where healthcare systems are expanding digital infrastructure and facing high patient demand.
The bottom line: - AI-based workflow automation is moving into the mainstream hospital efficiency stack, with the market set to more than double by 2030.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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