Artificial Intelligence In Remote Patient Monitoring Market Size to Hit USD 4,527.32 MN by 2030

 According to Nova one advisor, the global Artificial Intelligence (AI) in Remote Patient Monitoring market size was valued at USD 1,122.16 million in 2022 and is predicted to hit USD 4,527.32 million by 2030 with a registered CAGR of 26.72% during the forecast period 2022 to 2030.

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The demand in the AI in remote patient monitoring market is thriving on the back on the critical role of technologies in monitoring of patient cohorts with diseases that are prone to fatal adverse incidents. Patients with neurological and cardiovascular diseases, thus, have been increasingly benefitted from the use of telehealth in remote monitoring. The preference will stay in future as well, since there is a pressing need to reduce the morbidity and mortality of these diseases. AI and robotics play a massive role in facilitating remote monitoring of chronic illnesses that are prone to adverse outcomes such as cardiac failure, which need emergency department hospitalization. The adoption of AI is boosting the revenue streams for players in the AI in remote patient monitoring market.

In recent decades, several healthcare systems around the world have integrated with electronic health for a centralized and easy access to patient’s medical history, medications, treatment plans, radiology images, immunization schedules, and laboratory and test results. AI has helped boost the accuracy in diagnosis and therapeutics, thereby boosting the demand in the AI in remote patient monitoring market. The application of AI in clinical decision systems has also risen on back of the propositions of accuracy and precision in these areas.

Report Scope of the Artificial Intelligence (AI) in Remote Patient Monitoring Market

 Market Statistics:

The report provides market sizing and forecast across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2020 are considered as historical years, 2021 as the base year, 2022 as the estimated year, and years from 2023 to 2027 are considered as the forecast period.
Market Segmentation & Coverage:
 

This research report categorizes the Artificial Intelligence in Remote Patient Monitoring to forecast the revenues and analyze the trends in each of the following sub-markets:
 

• Based on Product, the market was studied across Special Monitors and Vital Monitors. The Special Monitors is further studied across Anaesthesia Monitors, Blood Glucose Monitor, Cardiac Rhythm Monitor, Fetal Heart Rate Monitor, Multi-Parameter Monitors, Prothrombin Monitors, and Respiratory Monitor. The Vital Monitors is further studied across Blood Pressure Monitor, Brain Monitor, Heart Rate Monitor, Pulse Oximeter, Respiratory Monitor, and Temperature Monitor.
• Based on Solution, the market was studied across Hardware, Services, and Software.
• Based on Technology, the market was studied across Machine Learning (ML), Natural Language Processing (NLP), Querying Method (QM), and Speech Recognition (SR).
• Based on Application, the market was studied across Cancer, Cardiovascular Diseases, Dehydration, Diabetes, Infections, Respiratory Issues, Sleep Disorder, Viral Infection, and Weight Management & Fitness Monitoring.
• Based on Region, the market was studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

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Cumulative Impact of COVID-19:

COVID-19 is an incomparable global public health emergency that has affected almost every industry, and the long-term effects are projected to impact the industry growth during the forecast period. The ongoing research amplifies our research framework to ensure the inclusion of underlying COVID-19 issues and potential paths forward. The report delivers insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecasts, considering the COVID-19 impact on the market.

Cumulative Impact of 2022 Russia Ukraine Conflict:

The publisher continuously monitors and update reports on political and economic uncertainty due to the Russian invasion of Ukraine. Negative impacts are significantly foreseen globally, especially across Eastern Europe, European Union, Eastern & Central Asia, and the United States. This contention has severely affected lives and livelihoods and represents far-reaching disruptions in trade dynamics. The potential effects of ongoing war and uncertainty in Eastern Europe are expected to have an adverse impact on the world economy, with especially long-term harsh effects on Russia.This report uncovers the impact of demand & supply, pricing variants, strategic uptake of vendors, and recommendations for Artificial Intelligence in Remote Patient Monitoring market considering the current update on the conflictanditsglobalresponse.

Competitive Strategic Window:

The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecasperiod
FPNV Positioning Matrix:

The FPNV Positioning Matrix evaluates and categorizes the vendors in the Artificial Intelligence in Remote Patient Monitoring Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understandingthecompetitivelandscape.

Market Share Analysis:

The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation,fragmentation,dominance,andamalgamationtraits.
Competitive Scenario:

The Competitive Scenario provides an outlook analysis of the various business growth strategies adopted by the vendors. The news covered in this section deliver valuable thoughts at the different stage while keeping up-to-date with the business and engage stakeholders in the economic debate. The competitive scenario represents press releases or news of the companies categorized into Merger & Acquisition, Agreement, Collaboration, & Partnership, New Product Launch & Enhancement, Investment & Funding, and Award, Recognition, & Expansion. All the news collected help vendor to understand the gaps in the marketplace and competitor’s strength and weakness thereby, providing insights to enhance product and service.

Some of the prominent players in the Artificial Intelligence (AI) in Remote Patient Monitoring Market include:

• 100 Plus
• AiCure
• Binah.ai
• Biofourmis
• Cardiomo
• ChroniSense Medical
• ContinUse Biometrics (Cu-Bx)
• Current Health
• Ejenta
• Eko
• Engagely.ai
• Feebris
• GYANT
• iHealth
• Medical Device + Diagnostic Industry (MD+DI)
• Medopad
• Myia
• Neoteryx, LLC
• Neteera
• Tech Vedika
• ten3T Healthcare
• Vitls

By Geography

North America

• U.S.
• Canada

Europe

• Germany
• France
• United Kingdom
• Rest of Europe

Asia Pacific

• China
• Japan
• India
• Southeast Asia
• Rest of Asia Pacific

Latin America

• Brazil
• Rest of Latin America

Middle East & Africa (MEA)

• GCC
• North Africa
• South Africa
• Rest of Middle East & Africa

By Region

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa

Key Benefits for Stakeholders

• This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the global Artificial Intelligence In Remote Patient Monitoring industry analysis from 2022 to 2030 to identify the prevailing Artificial Intelligence In Remote Patient Monitoring industry opportunity.
• The market research is offered along with information related to key drivers, restraints, and opportunities.
• Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
• In-depth analysis of the global Artificial Intelligence In Remote Patient Monitoring industry segmentation assists to determine the prevailing market opportunities.
• Major countries in each region are mapped according to their revenue contribution to the global market.
• Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
• The report includes the analysis of the regional as well as global Artificial Intelligence In Remote Patient Monitoring industry trends, key players, market segments, application areas, and market growth strategies.

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