Artificial Intelligence (AI)-Based Workflow Automation in Hospitals Market Global Report 2026

The artificial intelligence (AI)-based workflow automation in hospitals market size has grown rapidly in recent years. It will grow from $5.26 billion in 2025 to $6.16 billion in 2026 at a compound annual growth rate (CAGR) of 17.1%. The growth in the historic period can be attributed to adoption of electronic health record systems, increasing hospital digitization initiatives, rising patient volume and operational burden, growth of healthcare it infrastructure, demand for improved care coordination.

The artificial intelligence (AI)-based workflow automation in hospitals market size is expected to see rapid growth in the next few years. It will grow to $11.4 billion in 2030 at a compound annual growth rate (CAGR) of 16.7%. The growth in the forecast period can be attributed to integration of ai into hospital operations systems, expansion of predictive healthcare analytics, rising demand for automated clinical decision support, growth of cloud-based hospital management platforms, increasing focus on value-based care delivery models. Major trends in the forecast period include AI-driven clinical workflow orchestration platforms, predictive patient scheduling and resource optimization systems, real-time hospital operations monitoring dashboards, intelligent electronic health record automation systems, AI-based administrative task automation in hospitals.

The increasing investments in digital transformation initiatives are expected to propel the growth of the artificial intelligence (AI)-based workflow automation in hospitals market going forward. Digital transformation initiatives refer to the adoption of advanced digital technologies such as artificial intelligence, cloud computing, analytics, and automation platforms to improve operational efficiency, patient care, and healthcare decision-making processes. Healthcare organizations are increasing investments in digital transformation initiatives as hospitals face growing pressure to reduce operational costs, improve patient outcomes, and manage rising volumes of healthcare data more efficiently. Artificial intelligence (AI)-based workflow automation in hospitals supports digital transformation initiatives by streamlining administrative processes, optimizing clinical workflows, improving interoperability, and enabling real-time operational intelligence across healthcare systems. For instance, in November 2025, according to the Organisation for Economic Co-operation and Development (OECD), a France-based intergovernmental economic organization, the average availability of online digital health services across OECD countries increased from 79% in 2023 to 82% in 2024. Therefore, the increasing investments in digital transformation initiatives are driving the growth of the artificial intelligence (AI)-based workflow automation in hospitals market.

Leading companies operating in the artificial intelligence (AI)-based workflow automation in hospitals market are focusing on developing advanced solutions, such as virtual care management systems, to improve patient engagement, streamline clinical workflows, and support continuous remote healthcare delivery. Virtual care management systems refer to digital healthcare platforms that combine telehealth consultations, remote patient monitoring, AI-driven analytics, and workflow automation tools to enable healthcare providers to manage patient care remotely and efficiently. For example, in March 2023, Koninklijke Philips N.V., a Netherlands-based health technology company, launched Philips Virtual Care Management, an integrated virtual care solution designed to support healthcare providers with remote patient monitoring and hospital-at-home services. The platform includes AI-enabled patient data analytics, centralized clinical dashboards, and real-time monitoring capabilities that help clinicians manage chronic conditions, improve care coordination, and reduce unnecessary hospital visits. The solution was developed to enable healthcare systems to expand virtual care delivery models while supporting clinical workflow efficiency and patient engagement across multiple care settings. It also integrates predictive analytics and automated alert functionalities to assist healthcare professionals in identifying potential health deteriorations earlier and prioritizing timely interventions.

In May 2026, Qualtrics International Inc., a US-based experience management software company, acquired Press Ganey Forsta for $6.75 billion. Through this acquisition, Qualtrics aimed to strengthen its artificial intelligence (AI)-driven healthcare workflow automation and patient experience capabilities by combining advanced analytics, operational intelligence, and healthcare engagement solutions. Press Ganey Forsta is a US-based company that provides AI-powered healthcare experience management, workflow optimization, and patient engagement solutions.

Major companies operating in the artificial intelligence (AI)-based workflow automation in hospitals market are Microsoft Corporation; Amazon Web Services Inc.; International Business Machines Corporation (IBM); Oracle Corporation; McKesson Corporation; GE HealthCare Technologies Inc.; NVIDIA Corporation; Salesforce Inc.; Koninklijke Philips N.V.; Siemens Healthineers AG; Optum Inc.; ServiceNow Inc.; Cognizant Technology Solutions Corporation; Infor Healthcare; UiPath Inc.; Wipro Limited; HCL Technologies Limited; Epic Systems Corporation; SAS Institute Inc.; Athenahealth Inc.; Surgical Information Systems; Nuance Communications; MEDITECH; Voluntis; Change Healthcare.

North America was the largest region in the artificial intelligence (AI)-based workflow automation in hospitals market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI)-based workflow automation in hospitals market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (AI)-based workflow automation in hospitals market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI)-based workflow automation in hospitals market consists of revenues earned by entities by providing services such as patient scheduling and registration automation, medical billing and coding automation, electronic health record (EHR) management, AI-powered diagnostic support, and predictive analytics. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI)-based workflow automation in hospitals market also includes sales of servers, patient monitoring systems, networking equipment, and AI-enabled hospital management devices. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities, including downstream manufacturers, wholesalers, distributors, and retailers, or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

The artificial intelligence (AI)-based workflow automation in hospitals market research report is one of a series of new reports that provides artificial intelligence (AI)-based workflow automation in hospitals market statistics, including artificial intelligence (AI)-based workflow automation in hospitals industry global market size, regional shares, competitors with a artificial intelligence (AI)-based workflow automation in hospitals market share, detailed artificial intelligence (AI)-based workflow automation in hospitals market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI)-based workflow automation in hospitals industry. This artificial intelligence (AI)-based workflow automation in hospitals market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

This product will be delivered within 1-3 business days.