Artificial Intelligence (AI) in Hospital Management Market Report 2025

This artificial intelligence (AI) in hospital management market report delivers an in-depth analysis of the market’s key characteristics, including size, growth potential, and segmentation. It provides a detailed breakdown of the market across major regions and leading countries, highlighting historical data and future growth projections. The report also examines the competitive landscape, market share insights, emerging trends, and strategic developments shaping the market.

The artificial intelligence (AI) in hospital management market size has grown rapidly in recent years. It will grow from $3.32 billion in 2024 to $3.94 billion in 2025 at a compound annual growth rate (CAGR) of 18.8%. The growth in the historic period can be attributed to declining hardware costs, rise in number of AI start-ups, improvement in the infrastructure for healthcare IT, increase in government initiatives, and telemedicine expansion.

The artificial intelligence (AI) in hospital management market size is expected to see rapid growth in the next few years. It will grow to $7.77 billion in 2029 at a compound annual growth rate (CAGR) of 18.5%. The growth in the forecast period can be attributed to growing need for lowering healthcare costs, improve patient outcomes, reducing medical errors, increasing AI identifies fraudulent activities and billing errors, and AI streamlines clinical trial processes. Major trends in the forecast period include incorporating AI into imaging devices, predictive analytics, use of AI-powered virtual assistants, implementation of real-time analytics, and AI-enabled wearable devices.

The increasing use of remote patient monitoring systems is expected to drive the growth of the artificial intelligence (AI) in hospital management market. Remote patient monitoring systems allow healthcare providers to track and manage patient health data from a distance through technology. These systems improve patient care by providing real-time data, enabling timely interventions, and increasing patient engagement. AI enhances these systems by offering advanced data analytics, predictive insights, and personalized treatment recommendations, which contribute to better patient outcomes and operational efficiency. For example, Vivalink, a US-based healthcare technology company, reported in August 2023 that 81% of clinicians now use remote patient monitoring (RPM) systems, a significant increase from 20% in 2021. Additionally, 84% of current RPM users plan to expand their usage in 2024. This rising adoption of remote patient monitoring systems is driving the growth of AI in hospital management.

Key players in the AI in hospital management market are developing AI-enabled platforms to improve the accuracy and efficiency of hospital operations, patient care, and administrative tasks. These platforms use AI to analyze data and automate processes, enhancing operational efficiency, patient care, and decision-making. For instance, in October 2023, ZS Associates, a US-based management consulting firm, launched ZAIDYN Connected Health. This AI-powered platform improves patient engagement and health outcomes through personalized interventions and data-driven insights. ZAIDYN Connected Health features three main components, health insights, patient engagement, and connected research, which work together to optimize care and address unmet needs.

In January 2023, LeanTaaS, a US-based software company, acquired Hospital IQ for an undisclosed amount. The acquisition aims to merge the expertise of LeanTaaS and Hospital IQ to create the largest AI-powered hospital operations software provider, enhancing patient access, staff satisfaction, and revenue productivity across various departments. Hospital IQ, a US-based company, specializes in operations management software for healthcare systems, using AI to improve operational efficiency, patient access, and clinical outcomes.

Major companies operating in the artificial intelligence (AI) in hospital management market are Google LLC, McKesson Corporation, Microsoft Corporation, Amazon Web Service, Johnson & Johnson Services Inc., Intel Corporation, Accenture plc, International Business Machines Corporation, Oracle Corporation, Medtronic plc, SAP SE, Micron Technology Inc., Nvidia Corporation, Capgemini SE, Siemens Healthineers AG, Cognizant Technology Solutions Corporation, Koninklijke Philips N.V., GE HealthCare Technologies Inc., Zebra Medical Vision, Infor Inc., Change Healthcare, Epic Systems Corporation, Nuance Communications Inc., Veradigm Inc., Corti ApS.

North America was the largest region in the artificial intelligence (AI) in hospital management market in 2023. The regions covered in the artificial intelligence (AI) in hospital management market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (AI) in hospital management market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Artificial intelligence (AI) in hospital management involves using AI technologies to optimize and streamline hospital operations and processes. This includes improving patient care through predictive analytics, enhancing administrative efficiency by automating routine tasks, and supporting clinical decision-making with AI-driven diagnostics and treatment recommendations. The goal of AI in hospital management is to boost operational efficiency, reduce costs, and improve the quality of patient care.

Key components in the AI in hospital management market include software, hardware, and services. AI software for hospital management includes applications and platforms designed to manage patient data, automate administrative tasks, and support clinical decisions. This software incorporates technologies such as computer vision, context-aware computing, machine learning, and natural language processing, with deployment options available both on-premises and in the cloud. Applications within this market include patient care management, administrative processes, diagnostic imaging and radiology, drug discovery, and more. These solutions target various stakeholders, including healthcare payers, hospital and healthcare providers, patients, and pharmaceutical and biotechnology companies.

The AI in hospital management market research report is one of a series of new reports that provides AI in hospital management market statistics, including the AI in hospital management industry global market size, regional shares, competitors with AI in hospital management market share, detailed AI in hospital management market segments, market trends, and opportunities, and any further data you may need to thrive in the AI in hospital management industry. These AI in hospital management market research reports deliver a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The AI in hospital management market consists of revenues earned by entities by providing services such as automated administrative support, patient data analysis, resource management, and personalized treatment plans. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in hospital management market also includes sales of servers and data centers, edge devices, medical imaging equipment, and networking hardware. 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.

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