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How Will the Artificial Intelligence (AI) in Hospital Management Market Grow Over the Forecast Period Based on Its Expected CAGR?

The market size of artificial intelligence (AI) in hospital management has seen a swift uptick in recent years. Projected growth indicates an increase from $3.32 billion in 2024 to $3.94 billion in 2025, signifying a compound annual growth rate (CAGR) of 18.8%. This positive trend in the historic period could be traced back to factors like a decrease in hardware expenses, a surge in AI start-ups, enhancement in healthcare IT infrastructure, the proliferation of government initiatives, and the growth of telemedicine.

In the coming years, the market size for artificial intelligence (AI) in hospital management is projected to experience a swift expansion. By 2029, it’s anticipated to reach $7.77 billion, with a compound annual growth rate (CAGR) of 18.5%. The predicted growth during this period can be ascribed to the escalating demand to decrease healthcare expenses, enhancing patient results, curtailing medical blunders, heightening AI’s ability to detect fraud and billing inaccuracies, and facilitating the streamlining of clinical trial procedures. Influential trends for the projected period consist of the integration of AI in imaging apparatus, predictive analytics, the employment of AI-driven virtual assistants, adoption of real-time analytics, and AI-supported wearable gadgets.

What Factors Are Propelling the Growth of the Artificial Intelligence (AI) in Hospital Management Market from 2025 to 2034?

The surge in the uptake of remote patient monitoring systems is anticipated to boost the expansion of the artificial intelligence (AI) in hospital management market in the future. Remote patient monitoring systems are technology-empowered solutions that enable healthcare practitioners to persistently monitor and manage a patient’s health data remotely. These systems amplify patient care through real-time information, prompt interventions, and increased patient interaction. AI contributes to hospital management by enhancing remote patient monitoring with superior data analytics, predictive insights, and individualized treatment plans, improving patient health results and operational productivity. For example, as per a recent analysis, in August 2023, Vivalink, a healthcare technology enterprise based in the US, found that 81% of clinicians are currently utilizing RPM on patients (a substantial increase from 20% in 2021), denoting a 305% escalation. Moreover, 84% of survey participants who already incorporate RPM plan to escalate their usage in 2024. Hence, the escalating uptake of remote patient monitoring systems is propelling AI in the hospital management market.

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Who Are the Dominant Players Expanding Their Reach in the Artificial Intelligence (AI) in Hospital Management Market?

Major companies operating in the artificial intelligence (AI) in hospital management market are:

• Google LLC_x000D_

• McKesson Corporation_x000D_

• Microsoft Corporation_x000D_

• Amazon Web Service_x000D_

• Johnson & Johnson Services Inc._x000D_

What Are the Top Trends Shaping the Evolution of the Artificial Intelligence (AI) in Hospital Management Market?

Leading businesses in the hospital management market using artificial intelligence (AI) are fabricating AI-integrated platforms to amplify the exactness and efficacy of hospital logistics, patient management, and bureaucratic tasks. These AI-integrated platforms utilize AI to interpret data and automate systems, thereby aiding hospital management in enhancing operational effectiveness, patient attention, and decision-making. As an illustration, in October 2023, ZS Associates, a management consulting services firm in the US, introduced ZAIDYN Connected Health. This AI-driven platform elevates patient interaction and betters healthcare results through customized interventions and data-informed perceptions. The platform is composed of health insights, patient interaction, and connected research as the three main elements, which collectively respond to unfulfilled needs and bolster care optimization.

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Which Market Segments Are Driving Strategic Growth and Trends in the Artificial Intelligence (AI) in Hospital Management Market?

The artificial intelligence (AI) in hospital management market covered in this report is segmented –

1) By Component: Software, Hardware, Services

2) By Technology: Computer Vision, Context-Aware Computing, Machine Learning, Natural Language Processing

3) By Deployment: Cloud-Based, On-Premises

4) By Application: Patient Care Management, Administrative Processes, Diagnostic Imaging And Radiology, Drug Discovery, Other Applications

5) By End-User: Healthcare Payers, Hospital And Healthcare Providers, Patients, Pharmaceuticals And Biotechnology Companies, Other End-Users

Subsegments:

1) By Software: AI-Based Clinical Decision Support Systems (CDSS), Patient Management Software, Medical Imaging Software, Natural Language Processing (NLP), Administrative Software, Population Health Management Software, AI-Driven Cybersecurity Tools

2) By Hardware: AI Servers, Wearables and IoT Devices, Medical Imaging Devices, Robotics Systems, AI Chips and Processors, Healthcare Robotics Hardware

3) By Services: AI Consulting Services, AI System Integration Services, AI Maintenance and Support Services, AI Training and Education Services, Managed AI Services, Analytics as a Service (AaaS)

Which Regions Are Setting the Pace for Artificial Intelligence (AI) in Hospital Management Market Growth?

North America was the largest region in the artificial intelligence (AI) in hospital management market in 2024. 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.

How Is the Artificial Intelligence (AI) in Hospital Management Market Defined Across Different Regions?

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

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