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How much is the ai in emergency room and hospital management market worth, and how is it expected to expand?
The AI in emergency room and hospital management market size has grown exponentially in recent years. It will grow from $3.35 billion in 2024 to $4.40 billion in 2025 at a compound annual growth rate (CAGR) of 31.4%. The growth in the historic period can be attributed to increasing patient flow, increasing focus on AI for screening, increasing training and simulation, increasing emergency care protocols and increasing focus on demonstrating the ROI.
The AI in emergency room and hospital management market size is expected to see exponential growth in the next few years. It will grow to $13.02 billion in 2029 at a compound annual growth rate (CAGR) of 31.1%. The growth in the forecast period can be attributed to the expansion of remote consultations, the shift towards value-based care models, research and development, automation of administrative tasks, and integration with imaging technologies. Major trends in the forecast period include smart scheduling systems, integration of IoT devices, real-time resource tracking, anomaly detection, and virtual health assistants.
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Which industry factors have accelerated the ai in emergency room and hospital management market’s expansion?
The increasing acceptance of electronic health records is anticipated to drive the growth of AI in emergency room and hospital management markets going forward. Electronic health records (EHRs) refer to digital versions of patients’s paper charts and contain comprehensive health information about a patient. The increasing acceptance of electronic health records (EHRs) is due to improved patient care through enhanced data accessibility, streamlined workflows, better communication among healthcare providers, and the potential for data analytics to inform clinical decisions. AI in emergency rooms and hospital management helps electronic health records (EHRs) by streamlining data entry, improving patient triage through predictive analytics, automating administrative tasks, and providing clinical decision support, which leads to faster diagnoses and more personalized treatment plans. For instance, in April 2024, according to a report published by the National Center for Health Statistics, a US-based government agency, 88.2% of office-based physicians reported using an electronic health record (EHR) system, with 77.8% employing a certified EHR system. Therefore, the increasing acceptance of electronic health records will fuel the growth of AI in emergency room and hospital management market.
What are the primary segments of the ai in emergency room and hospital management market?
The AI in emergency room and hospital management market covered in this report is segmented –
1) By Offering: Hardware, Software, Services
2) By Technology: Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision
3) By End User: Hospital And Healthcare Providers, Patients, Pharmaceuticals And Biotechnology Companies, Healthcare Payers, Other End Users
Subsegments:
1) By Hardware: Processors, Memory Devices, Storage Devices, Sensors, Others
2) By Software: Ai Platforms, Ai-Powered Applications, Analytics Solutions, Workflow Management Solutions, Others
3) By Services: Implementation And Integration Services, Support And Maintenance Services, Training And Consulting Services, Others
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Which firms are leading the ai in emergency room and hospital management market?
Major companies operating in the AI in emergency room and hospital management market are Google LLC, Microsoft Corporation, Amazon Web Services, International Business Machines Corporation, NVIDIA Corporation, Intel Corporation, Capgemini SE, Siemens Healthineers AG, PricewaterhouseCoopers, Koninklijke Philips N.V., General Electric Healthcare, eClinicalWorks LLC, iRhythm Technologies Inc., Vituity LLC, Maven Clinic Co., FasterCapital LLC, Chetu Inc., Aidoc Ltd., H2O.ai Inc., Qure.ai Technologies Pvt. Ltd., Health Catalyst Inc., Medigy Inc., ClearCare Inc., VirtuSense Technologies LLC, Dascena Inc.
Which market trends are set to define the future of the ai in emergency room and hospital management market?
Major companies operating in the AI in emergency rooms and hospital management market are focusing on patient flow management and operational optimization with advanced tools such as Gen AI-based SaaS tools to facilitate digital transformation, enabling hospitals to adapt to evolving needs and improve system-wide governance. Generative AI-based SaaS tools refer to cloud-based software solutions that leverage artificial intelligence to generate content, insights, or automation capabilities, enhancing decision-making and operational efficiency across various industries. For instance, in June 2023, LeanTaaS, a US-based provider of SaaS solutions for hospital operations, launched iQueue Autopilot, a generative AI tool designed to enhance patient flow and capacity management. This solution offers human-like interactions to support decision-making across inpatient and outpatient settings. iQueue Autopilot uses three methods Lean Forward for real-time recommendations, Lean Back for proactive alerts, and Moment in Time Problem Solving for immediate risk management. It combines AI/ML expertise with a vast repository of hospital operational data to provide actionable insights, ensuring hospitals can optimize resources and improve patient outcomes.
Which geographic trends are shaping the ai in emergency room and hospital management market, and which region has the highest market share?
North America was the largest region in the AI in emergency room and hospital management market in 2024. The regions covered in the AI in emergency room and hospital management market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
What Does The AI In Emergency Room And Hospital Management Market Report 2025 Offer?
The ai in emergency room and hospital management market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
Artificial intelligence (AI) in emergency room and hospital management involves the use of advanced algorithms and technologies to optimize patient care, streamline operations, and enhance decision-making through data analysis, predictive modeling, and automation. It improves efficiency, accuracy, and patient outcomes in healthcare settings.
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