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A Deep Dive into Artificial Intelligence (AI) In Remote Patient Monitoring Market 2025: Key Drivers, Growth Factors, and Projections 2025-2034
Artificial Intelligence AI In Remote Patient Monitoring Market Size
The increasing use of telemedicine is set to boost the expansion of artificial intelligence (AI) in the remote patient monitoring market in the foreseeable future. Telemedicine involves the deployment of telecommunications technology such as video and phone calls, and online messaging, for the purpose of offering medical services at a distance. AI plays a crucial role in remote patient monitoring combined with telemedicine, by analyzing data in real-time, identifying minor fluctuations and warning healthcare experts about possible problems before they escalate to emergencies. To elaborate, a 2022 survey by Rock Health, a non-profit organization based in the U.S., revealed that in February 2023, a staggering 80% of the participants reported having used telemedicine services at some point, marking an 8 percent rise from 72% in 2021. Hence, the widespread adoption of telemedicine is predicted to propel the growth of artificial intelligence (AI) in the remote patient monitoring market.
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What is the future CAGR of the artificial intelligence (ai) in remote patient monitoring market, and how will it impact industry expansion?
There has been rampant growth in the market size of artificial intelligence (AI) in remote patient monitoring in the recent years. It is forecasted to surge from $2.23 billion in 2024 to $2.81 billion in 2025 at a compound annual growth rate (CAGR) of 26.0%. Factors contributing to this growth during the past years include escalating rates of chronic diseases, enhanced data security measures, AI-powered applications fostering better patient engagement, incorporation with electronic health records (EHR), and the imperative to cut down healthcare expenses.
Anticipated massive expansion is predicted in the artificial intelligence (AI) in remote patient monitoring market in the upcoming years. The market is projected to reach $6.58 billion by 2029, growing at a compound annual growth rate (CAGR) of 23.7%. Factors such as global health issues, regulatory backing, ongoing advancements in diagnostic applications powered by AI, adoption of telehealth, and future progress in predictive analytics contribute to this predicted growth. The forecast period will also witness key trends such as wearable tech, improved AI algorithms, data privacy, cybersecurity, personalized medication, and treatment planning.
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What trends are poised to drive the future success of the artificial intelligence (ai) in remote patient monitoring market?
Key players in the artificial intelligence (AI) in remote patient monitoring industry are enhancing their competitiveness and optimizing health service delivery by integrating AI into wearable technology. This is done specifically through AI-enhanced ambulatory linked patient monitoring systems, a type of health solution that merges AI with ambulatory monitoring techniques to continuously monitor and evaluate the vital signs and overall health of a patient in real-time. For example, in October 2023, 'Dozee Pro Ex,' a novel ambulatory linked monitoring system was introduced to global markets by Dozee, a medical equipment manufacturer based in India. This product, which is innovatively designed in India, is equipped with wireless wearable sensors that constantly monitor significant health indicators such as ECG rhythm, arterial pressure, heart rate, oxygen levels, respiratory rate, and body temperature. Importantly, 'Dozee Pro Ex' has an AI-operated early warning system that tracks vital signs trends and provides timely alerts for possible clinical worsening. This pioneering product is intended to revolutionize conventional health care methods by accommodating 24/7 patient monitoring regardless of whether the patient is in a hospital bed, outside the bed, in a health facility or at home.
Which key market segments comprise the artificial intelligence (ai) in remote patient monitoring market and drive its revenue growth?
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
Subsegments:
1) By Software: Predictive Analytics, Data Management, Monitoring Platforms, Mobile Applications
2) By Hardware: Wearable Devices, Sensors, Medical Devices
3) By Services: Implementation Services, Training And Education Services, Support And Maintenance Services
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What regions are at the forefront of artificial intelligence (ai) in remote patient monitoring market expansion?
North America was the largest region in the artificial intelligence (AI) in remote patient monitoring market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in remote patient monitoring market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Who are the leading players fueling growth in the artificial intelligence (ai) in remote patient monitoring market?
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
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What Is Covered In The Artificial Intelligence (AI) In Remote Patient Monitoring Global Market Report?
• Market Size Forecast: Examine the artificial intelligence (ai) in remote patient monitoring market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the artificial intelligence (ai) in remote patient monitoring market for a structured understanding.
• Key Players Overview: Analyze major players in the artificial intelligence (ai) in remote patient monitoring market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the artificial intelligence (ai) in remote patient monitoring market.
• Segment Contributions: Evaluate how different segments drive overall growth in the artificial intelligence (ai) in remote patient monitoring market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the artificial intelligence (ai) in remote patient monitoring market.
• Industry Challenges: Identify potential risks and obstacles affecting the artificial intelligence (ai) in remote patient monitoring market.
• Competitive Landscape: Review strategic developments in the artificial intelligence (ai) in remote patient monitoring market, including expansions, agreements, and new product launches.
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