Artificial Intelligence (AI) In Remote Patient Monitoring Market Size, Growth, Trends And Overview By 2024-2033

The artificial intelligence (AI) in remote patient monitoring market size has grown exponentially in recent years. It will grow from $1.80 billion in 2023 to $2.23 billion in 2024 at a compound annual growth rate (CAGR) of 24.0%. The growth in the historic period can be attributed to Increased chronic disease rates, data security improvements, ai-driven applications that enhance patient engagement, integration with electronic health records (EHR), and need to reduce healthcare costs.

The artificial intelligence (AI) in remote patient monitoring market size is expected to see exponential growth in the next few years. It will grow to $5.31 billion in 2028 at a compound annual growth rate (CAGR) of 24.2%. The growth in the forecast period can be attributed to global health challenges, regulatory support, continued progress in AI-powered diagnostic applications, telehealth adoption, future developments in predictive analytics. Major trends in the forecast period include wearable technology, advances in ai algorithms and machine learning techniques, cybersecurity and data privacy, and personalized medicine and treatment plan.

Market Overview -
Artificial intelligence (AI) in remote patient monitoring (RPM) refers to the integration of AI technologies into systems designed to monitor and manage the health and well-being of patients remotely. AI is employed to enhance the capabilities of remote monitoring solutions, providing advanced analytics, automation, and intelligent insights for healthcare professionals.

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The Surging Role of Artificial Intelligence in Remote Patient Monitoring Fueled by Telemedicine Adoption
The high adoption of telemedicine is expected to propel the growth of artificial intelligence (AI) in the remote patient monitoring market in the coming years. Telemedicine refers to the use of telecommunications technology, such as video calls, phone calls, and online messaging, to provide medical services remotely. AI in remote patient monitoring integrated with telemedicine analyzes this data in real time, detecting subtle changes and alerting healthcare professionals about potential issues before they become emergencies. For instance, in August 2022, according to the Australian Digital Health Agency, an Australia-based government organization, over 95,000 practitioners utilized telehealth services, and 118.2 million telehealth services were offered to 18 million patients from March 2020 to July 2022. Therefore, the high adoption of telemedicine will drive the growth of artificial intelligence (AI) in the remote patient monitoring market.

Competitive Landscape -
Major companies operating in the artificial intelligence (ai) in remote patient monitoring market report are Medtronic plc, Siemens Healthineers, Koninklijke Philips N.V., GE Healthcare, DexCom Inc, Cerner Corporation, Infosys BPM, Tunstall Healthcare, Connect America LLC, American Well, Biofourmis, Tempus, Merative L.P., Vivify Health, Clarify Health Solutions, Current Health, BioIntelliSense, Preventice Solutions, AiCure LLC, Orbita, MobileHelp, EarlySense, Gyant, Myia Labs, Sentrian, Biobeat, ChroniSense Medical Ltd., Somatix Inc., Twistle, HealthWatch Technologies

The Emergence Of AI-Powered Ambulatory Connected Patient Monitoring Systems In Global Healthcare
Major companies operating in the artificial intelligence (AI) in remote patient monitoring market are focusing on the integration of AI with wearable devices, such as an AI-powered ambulatory connected patient monitoring system, to gain a competitive advantage and optimize healthcare delivery. An AI-powered ambulatory connected patient monitoring system refers to a healthcare solution that combines artificial intelligence (AI) with ambulatory monitoring technology to continuously track and analyze a patient's vital signs and health metrics in real time. For instance, in October 2023, Dozee, an India-based medical equipment manufacturer, launched 'Dozee Pro Ex,' an innovative ambulatory connected patient monitoring system designed for global markets. This made-in-India solution features wireless wearable sensors for continuous monitoring of vital parameters, including ECG rhythm, blood pressure, heart rate, oxygen saturation, respiration rate, and temperature. Notably, 'Dozee Pro Ex' includes an AI-powered early warning system that analyzes vital parameter trends, delivering timely alerts for potential clinical deterioration. This next-generation product aims to redefine traditional healthcare boundaries by enabling 24/7 patient monitoring, whether individuals are in a hospital bed, off the bed, at a healthcare facility, or at home.

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Key Segments -
The artificial intelligence (ai) in remote patient monitoring market covered in this report is segmented -
1) By Solution: Software, Hardware, Services
2) By Product: Vital Monitors, Special Monitors, Other Products
3) By Technology: Natural Language Processing, Machine Learning, Querying Method, Speech Recognition
4) By Application: Diabetes, Respiratory Issues, Weight Management And Fitness Monitoring, Cancer, Dehydration, Cardiovascular Diseases, Sleep Disorder, Viral Infection, Other Applications

Key highlights covered in the report -
1. Detailed market size forecast and historical data analysis
2. Key drivers influencing market growth
3. Identification of upcoming trends and potential opportunities in the market
4. Analysis of major players strategies, to understand competitive dynamics and market positioning
5. Evaluation of regional dynamics

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