AI in Hospital Operations Industry Size

The report "AI in Hospital Operations Market by Offering (Dashboard, Workflow, Interoperability), Use Case (Patient Flow, RCM, Staff Management, Patient Engagement), Technology (ML, NLP), End User (Hospital, ASC, Imaging Center), & Region - Global Forecasts to 2030" is projected to grow from USD 7.51 billion in 2025 and to reach USD 25.70 billion by 2030, at a Compound Annual Growth Rate (CAGR) of 27.8% during the forecast period.

Browse 500 market data Tables and 150 Figures spread through 300 Pages and in-depth TOC on "AI in Hospital Operations Market by Offering (Dashboard, Workflow, Interoperability), Use Case (Patient Flow, RCM, Staff Management, Patient Engagement), Technology (ML, NLP), End User (Hospital, ASC, Imaging Center), & Region - Global Forecasts to 2030"
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The global AI in hospital operations market is driven by the increasing demand for operational efficiency and the reduction of administrative and clinical bottlenecks. The requirement for efficient patient flow, resource allocation, and revenue cycle optimization has led to the growing implementation of artificial intelligence-enabled solutions for optimizing various facets of the healthcare organization. The integration of advanced technologies such as cloud-enabled artificial intelligence platforms and machine learning capabilities for forecasting and other advanced functionalities has increased the productivity and operational efficiency of the healthcare organization. The increasing focus on value-based care delivery and the need to reduce operational costs and make healthcare operations efficient have driven global demand for artificial intelligence in the healthcare market. Additionally, favorable health information and communications technology initiatives and the growing adoption of artificial intelligence technologies have accelerated market growth. The legacy IT solutions implemented in the healthcare sector and the growing demand for interoperability have accelerated global market growth.

Revenue cycle & administrative automation accounted for the largest share of the AI in hospital operations market, by use case.

In 2024, the revenue cycle and administrative automation sector held the largest share, based on use case, due to the increased emphasis of hospitals on cost control, sustainability, and optimization. AI-based solutions have the capability to automate key administrative functions such as patient registration, eligibility verification, claim editing, claim management, billing, and denial predictions. These solutions are designed using machine learning algorithms to optimize insurance reimbursement processes and ensure regulatory compliance. With increased costs of operations, lack of skilled labor, and administrative hassles for healthcare institutions, AI in hospital operations for revenue cycle & administrative automation has been noticed to have high ROI, thus holding the leading position in the AI in hospital operations industry.

Natural language processing (NLP) segment to account for the fastest-growing segment of AI in hospital operations market, by technology.

By technology, natural language processing (NLP) is the fastest-growing segment in the global AI in hospital operations market. The primary factor that is fuelling the growth of the NLP market in the global AI in hospital operations market is the rising need to derive insights from massive unstructured data in the hospital sector. NLP allows the automation of various hospital operations, including clinical documentation, medical coding, claims management, prior authorizations, patient communications, and reporting of regulatory and compliance matters. With the increasing volume of unstructured data in the form of text in the hospital sector, there is an increasing use of NLP solutions in the global market to improve the efficiency of hospital operations. The smooth integration and real-time decision-making of NLP solutions in the hospital operations market is also fuelling the growth of the market.

North America accounted for the largest share of the AI in hospital operations market.

North America held the dominant share of the market, by region, in 2024. This is attributed to the fact that North America has an existing healthcare information and technology sector that has adapted rapidly to cloud and advanced technologies. The increased adoption of cloud and advanced technologies in the region by key players in the healthcare and technology sectors has encouraged the population to adopt the solutions. The region has witnessed the rapid digitalization of its hospitals and challenges to optimize operational efficiencies and manage the cost of operations. The region also has an existing information and technology infrastructure, and the rapid adoption of solutions such as command centers, predictive analytics, and automated workflow solutions. Moreover, the concern to secure sensitive information regarding the patient and the challenges to transform the existing and outdated health information and operational systems have encouraged the use of solutions for operational platforms.

The key players functioning in the AI in hospital operations market include IBM (US), Microsoft (US), Siemens Healthineers AG (Germany), Koninklijke Philips N.V. (Netherlands), Oracle (US), Epic Systems (US), Veradigm LLC (US), SAS Institute Inc. (US), Qventus (US), Optum Inc. (UnitedHealth Group) (US), Cisco Systems, Inc. (US), Athena Health (US), Concord Technologies (US), Health Catalyst (US), LeanTaaS (US), Notable (US), Viz.AI (US), Aidoc (Israel), Augmedix (US), and Avaamo (US).

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