Artificial intelligence insights into the global remote patient monitoring market to 2026

DUBLIN, 22 December 2021 / PRNewswire / – The report “Artificial Intelligence in Remote Patient Monitoring Market Research Report by Product, by Solution, by Technology, by Application, by Region – Global Forecast to 2026 – Cumulative Impact of COVID-19 »Was added to ResearchAndMarkets.com offer.

The global artificial intelligence in remote patient monitoring market size has been estimated to be $ 712.67 million in 2020 and should reach $ 892.99 million in 2021, at a CAGR of 25.63% to reach $ 2,803.19 million by 2026.

Market Statistics:

The report provides market size and forecast in five major currencies: USD, EUR GBP, JPY, and AUD. It helps organizational leaders make better decisions when currency data is readily available. In this report, the years 2018 and 2019 are considered as historical years, 2020 as the base year, 2021 as the estimated year and the years 2022 to 2026 are considered as the forecast period.

Competitive strategic window:

The Competitive Strategy Window analyzes 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 suppliers to adopt successive strategies of merger and acquisition, geographic expansion, research and development, and new product introduction strategies to continue the expansion and growth of the business during a forecast period.

FPNV positioning matrix:

The FPNV Positioning Matrix assesses and ranks vendors in the artificial intelligence market in remote patient monitoring based on business strategy (company growth, industry coverage, financial viability, and channel support ) and product satisfaction (value for money, ease of use, product features and customer support) which helps companies make better decisions and better understand the competitive landscape.

Market share analysis:

The market share analysis offers the analysis of the suppliers considering their contribution to the overall market. It provides the idea of ​​its revenue generation in the overall market compared to other space providers. It provides insight into the performance of vendors in terms of revenue generation and customer base compared to others. Knowing the market share gives an idea of ​​the size and competitiveness of the suppliers for the base year. It reveals the characteristics of the market in terms of traits of accumulation, fragmentation, dominance and fusion.

Company usability profiles:

The report deeply explores the significant recent developments of leading vendors and innovation profiles in the global artificial intelligence in remote patient monitoring market including 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 and Vitls.

The report provides information on the following pointers:
1. Market penetration: provides comprehensive information on the market offered by major players
2. Market Development: Provides detailed information on lucrative emerging markets and analyzes penetration into mature market segments.
3. Market diversification: provides detailed information on new product launches, untapped geographies, recent developments and investments
4. Competitive Assessment and Intelligence: Provides a comprehensive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape and manufacturing capabilities of key players
5. Product Development and Innovation: Provides intelligent information on future technologies, R&D activities and breakthrough product developments

The report answers questions such as:
1. What is the market size and forecast for the global artificial intelligence in remote patient monitoring market?
2. What are the inhibitory factors and impact of COVID-19 shaping the global Artificial Intelligence in remote patient monitoring market during the forecast period?
3. What are the products / segments / applications / areas to invest in during the forecast period of the global artificial intelligence in remote patient monitoring market?
4. What is the competitive strategic window for opportunities in the global Artificial Intelligence in Remote Patient Monitoring market?
5. What are the technological trends and regulatory frameworks in the global artificial intelligence in remote patient monitoring market?
6. What is the market share of the major vendors in the global artificial intelligence in remote patient monitoring market?
7. What strategic fashions and movements are considered appropriate to enter the global artificial intelligence in remote patient monitoring market?

Main topics covered:

1. Preface

2. Research methodology

3. Executive summary

4. Market overview
4.1. introduction
4.2. Cumulative impact of COVID-19

5. Market dynamics
5.1. introduction
5.2. Conductors
5.2.1. Development of ICT infrastructure in developing countries
5.2.2. Increased adoption of AI in remote patient monitoring through real-time monitoring and improved patient engagement
5.2.3. Demand growth due to management optimization and reduction of human errors
5.3. Constraints
5.3.1. Lack of awareness in remote areas
5.3.2. Expensive compared to traditional facilities
5.4. Opportunities
5.4.1. Rapid digitization and heavy use of consumer social media
5.4.2. Trend shift towards wearable technology
5.5. Challenges
5.5.1. Growing concern over cybersecurity and privacy

6. Artificial Intelligence In Remote Patient Monitoring Market, By Product
6.1. introduction
6.2. Special monitors
6.2.1. Anesthesia monitors
6.2.2. Blood glucose monitor
6.2.3. Heart rate monitor
6.2.4. Fetal heart rate monitor
6.2.5. Multi-parameter monitors
6.2.6. Prothrombin monitors
6.2.7. Respiratory monitor
6.3. Vital monitors
6.3.1. Blood pressure monitor
6.3.2. Brain monitor
6.3.3. Heart rate monitor
6.3.4. Pulse oximeter
6.3.5. Respiratory monitor
6.3.6. Temperature monitor

7. Artificial Intelligence In Remote Patient Monitoring Market, By Solution
7.1. introduction
7.2. Equipment
7.3. Services
7.4. Software

8. Artificial Intelligence in Remote Patient Monitoring Market, By Technology
8.1. introduction
8.2. Machine learning (ML)
8.3. Natural language processing (NLP)
8.4. Query Method (QM)
8.5. Voice recognition (SR)

9. Artificial Intelligence in Remote Patient Monitoring Market, By Application
9.1. introduction
9.2. Cancer
9.3. Cardiovascular illnesses
9.4. Dehydration
9.5. Diabetes
9.6. Infections
9.7. Respiratory problems
9.8. Sleeping troubles
9.9. Viral infection
9.10. Weight management and fitness monitoring

10. Artificial intelligence from the Americas in the remote patient monitoring market
10.1. introduction
10.2. Argentina
10.3. Brazil
10.4. Canada
10.5. Mexico
10.6. United States

11. Asia-Pacific Artificial Intelligence in Remote Patient Monitoring Market
11.1. introduction
11.2. Australia
11.3. China
11.4. India
11.5. Indonesia
11.6. Japan
11.7. Malaysia
11.8. Philippines
11.9. Singapore
11.10. South Korea
11.11. Taiwan
11.12. Thailand

12. Europe, Middle East & Africa Artificial intelligence in the remote patient monitoring market
12.1. introduction
12.2. France
12.3. Germany
12.4. Italy
12.5. Netherlands
12.6. Qatar
12.7. Russia
12.8. Saudi Arabia
12.9. South Africa
12.10. Spain
12.11. United Arab Emirates
12.12. UK

13. Competitive landscape
13.1. FPNV positioning matrix
13.1.1. Quadrants
13.1.2. Business strategy
13.1.3. Product satisfaction
13.2. Market ranking analysis
13.3. Market share analysis, by key player
13.4. Competitive scenario
13.4.1. Merger & Acquisition
13.4.2. Agreement, collaboration and partnership
13.4.3. New product launch and improvement
13.4.4. Investment and financing
13.4.5. Awards, recognition and expansion

14. Company usability profiles
14.1. 100 and more
14.2. AiCure
14.3. Binah.ai
14.4. Biofourmis
14.5. Cardiomo
14.6. ChronoSense Medical
14.7. ContinUse Biometrics (Cu-Bx)
14.8. Current health
14.9. Ejenta
14.10. Eko
14.11. Engage.
14.12. Feebris
14.13. GIANT
14.14. iHealth
14.15. Medical Device + Diagnostic Industry (MD + DI)
14.16. Medopad
14.17. Myia
14.18. Neoteryx, LLC
14.19. Neteera
14.20. Tech Vedika
14.21. Ten3T Health
14.22. Vitls

15. Annex

For more information on this report visit https://www.researchandmarkets.com/r/7x6wlp

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