Al in Clinical Workflow Market

The AI in clinical workflow market is projected to reach USD 11.08 billion by 2030 from USD 2.78 billion in 2025, at a CAGR of 31.9% from 2025 to 2030. AI for clinical workflow refers to the use of artificial intelligence techniques, such as machine learning, natural language processing, and computer vision, to optimize clinical workflows. These tools help doctors, nurses, care coordinators, and hospital administrators by optimizing clinical workflows, imaging workflows, and administrative workflows, among others. The use of AI workflow solutions is beneficial to hospitals and health systems that are dealing with growing volumes, clinician burnout, and resource constraints, as these solutions help to alleviate clinician workload, improve accuracy, and enable informed decisions to be made quickly within an organization.

The AI market in the clinical workflow industry is moderately to highly fragmented. This is the case since the market includes many international vendors of healthcare information technologies, various IT firms, and startups focusing on AI. Many vendors compete in the market because they apply AI in various clinical as well as administrative workflows. Major players operating in the AI in clinical workflow market include Microsoft (US), Epic Systems Corporation (US), Oracle (US), Koninklijke Philips N.V. (Netherlands), Siemens Healthineers AG (Germany), NextGen Healthcare (US), Abridge AI, Inc. (US), Health Catalyst, Inc. (US), GE Healthcare (US), Optum, Inc. (US), Veradigm LLC (US), Augmedix, Inc. (US), Viz.ai, Inc. (US), Aidoc Medical Ltd. (Israel), Qure.ai Technologies Pvt. Ltd. (India), Concord Technologies, Inc. (US), PathAI, Inc. (US), Baxter International Inc. (Hillrom) (US), Cisco Systems, Inc. (US), and athenahealth, Inc. (US).

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In October 2025, Microsoft (US) extended its leading AI clinical assistant, Dragon Copilot, to specifically support nursing workflows with the first commercially available ambient AI solution for this purpose. This allows nurses to streamline documentation from patient interactions, surface relevant clinical information, and automate routine tasks like creating flowsheet documentation, all within their normal workflow.

In October 2024, GE HealthCare (US) announced the launch of its Artificial Intelligence Innovation Lab, featuring five innovative projects using AI to embed artificial intelligence throughout the continuum of care. This encompasses initiatives including Health Companion, an agentive AI concept intended for the provision of multi-disciplinary clinical knowledge in the palm of a clinician's hands, initiatives to optimize the early prediction of recurrence of triple negative breast cancer using the power of deep learning, and the use of artificial intelligence to reduce manual searches and summarizations.

Microsoft (US)

Microsoft is one of the prominent players in the AI in clinical workflow market, driven by its vast healthcare cloud, data, and AI ecosystem. The company offers a wide array of AI-enabled solutions covering ambient clinical documentation, clinical decision support, care coordination, analytics, and interoperability. It empowers healthcare enterprises to automate documentation, derive meaningful insights from unstructured clinical data, and embed AI directly into clinician workflows across inpatient and outpatient settings, utilizing platforms like Azure AI, Nuance DAX, and Microsoft Cloud for Healthcare.

Aiming to reinforce the leadership position and increase the adoption of AI-driven clinical workflows, Microsoft strongly focuses on advanced generative AI capabilities and deeper integration with EHR. In 2024-2025, the company announced next-generation ambient and conversational AI features in real-time clinical note generation, patient summarization, and decision support within clinical workflows. Microsoft also emphasizes strategic partnerships with major EHR players, health systems, and life sciences companies, positioning itself as a foundational AI infrastructure provider for global, large-scale clinical workflow transformation.

Epic Systems Corporation (US)

Epic Systems Corporation is a major health information technology company and a significant contributor in the AI in clinical workflow industry, as it has embedded AI technology in its Electronic Health Record solutions. Its AI solutions are used in a variety of clinical workflows such as risk assessment, clinical decision support, documentation, patient flow management, and care pathway solutions. Its solutions enable a variety of healthcare applications to be used directly in a healthcare workflow without any significant interruption.

Epic’s approach to supporting the growth of the AI clinical workflow space is based on the ongoing improvement of its integrated AI models, the advancement of its generative AI and ambient documentation capabilities, and working in close partnership with healthcare provider organizations. In recent years, Epic has launched new offerings enabled by AI technology to enhance the workflow experience of care practitioners and optimize throughput and patient outcomes, while continuing to emphasize the strict aspects of data management and government regulation compliance. Through this approach, Epic enhances its competitive advantage as a basic workflow intelligence platform serving the enterprise healthcare space through its installed base and its comprehensive clinical data resources.

Market Ranking

The market for AI in clinical workflow exhibits moderate to high fragmentation, with a small handful of large healthcare IT and tech firms commanding a considerable market share due to their strong, in-depth integrations with EHR systems. Microsoft and Epic Systems Corporation are at the forefront of directly integrating generative/predictive AI into fundamental clinical workflows, including document management, clinical decision-making, and care transitions. Oracle Corporation, Koninklijke Philips N.V., Siemens Healthineers, and GE Healthcare also lead with enterprise-level workflow management systems, imaging-based integrated AI, and analytics-backed clinical operations. Firms specialized in native AI technologies such as Viz.ai, Aidoc, Qure.ai, Augmedix, and Abridge AI, Inc. continue to gain considerable traction with workload-specific use cases in imaging triage and ambient documentation. This also encompasses health data, health data connectivity, and health data analytics firms, including Optum, Health Catalyst, Veradigm, athenahealth, NextGen Healthcare, Cisco Company, Concord Tech, PathAI, and Hillrom (formerly Baxter), among many others.

Related Reports:

Al in Clinical Workflow Market by Offering (CDS, Documentation, Imaging, Analytics), Technology (NLP, ML, Computer Vision), Speciality (Radio, Cardio, Onco), Function (Diagnostics, POC), End User (Hospital, ASC, Imaging Center) - Global Forecasts to 2030

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