Artificial Intelligence in Remote Patient Monitoring Market by Solution (Hardware, Services, Software), Application (Anesthesia Monitoring, Blood Glucose Monitoring, Brain Monitoring) - Global Forecast 2024-2030

Artificial Intelligence in Remote Patient Monitoring Market by Solution (Hardware, Services, Software), Application (Anesthesia Monitoring, Blood Glucose Monitoring, Brain Monitoring) - Global Forecast 2024-2030


The Artificial Intelligence in Remote Patient Monitoring Market size was estimated at USD 1.40 billion in 2023 and expected to reach USD 1.77 billion in 2024, at a CAGR 25.83% to reach USD 7.03 billion by 2030.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Remote Patient Monitoring Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Remote Patient Monitoring Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Remote Patient Monitoring Market, highlighting leading vendors and their innovative profiles. These include Accuhealth Global Inc, AiCure, LLC, Apexon, Binah.ai Ltd, Biofourmis Inc., Cardiomo Care, Inc., ChroniSense Medical, Ltd., CU-BX Automotive Technologies Ltd., Current Health Limited, DrKumo Inc., Ejenta, Inc., Feebris Ltd., Gyant.com, Inc., Huma Therapeutics Limited, iBeat, Inc., iHealth Labs, Inc., Implicity, Jorie Healthcare Patners LLC, Myia Labs Inc., Neteera Technologies Ltd., Philips Healthcare, Resideo Technologies, Inc, Senseonics Holdings, Inc, Somatix Inc., and Zephyr AI.

Market Segmentation & Coverage

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

Solution

Hardware
  • Services
  • Software
  • Application

    Anesthesia Monitoring
  • Blood Glucose Monitoring
  • Brain Monitoring
  • Cardiac Rhythm Monitoring
  • Heart Rate Monitoring
  • Respiratory Monitoring
  • Temperature Monitoring
  • Region

    Americas

    Argentina
  • Brazil
  • Canada
  • Mexico
  • United States

    California
  • Florida
  • Illinois
  • New York
  • Ohio
  • Pennsylvania
  • Texas
  • Asia-Pacific

    Australia
  • China
  • India
  • Indonesia
  • Japan
  • Malaysia
  • Philippines
  • Singapore
  • South Korea
  • Taiwan
  • Thailand
  • Vietnam
  • Europe, Middle East & Africa

    Denmark
  • Egypt
  • Finland
  • France
  • Germany
  • Israel
  • Italy
  • Netherlands
  • Nigeria
  • Norway
  • Poland
  • Qatar
  • Russia
  • Saudi Arabia
  • South Africa
  • Spain
  • Sweden
  • Switzerland
  • Turkey
  • United Arab Emirates
  • United Kingdom
    The report offers valuable insights on the following aspects:

    1. Market Penetration: It presents comprehensive information on the market provided by key players.
    2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
    3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
    4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
    5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
    The report addresses key questions such as:

    1. What is the market size and forecast of the Artificial Intelligence in Remote Patient Monitoring Market?
    2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Remote Patient Monitoring Market?
    3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Remote Patient Monitoring Market?
    4. What is the market share of the leading vendors in the Artificial Intelligence in Remote Patient Monitoring Market?
    5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Remote Patient Monitoring Market?


    Note: PDF & Excel + Online Access - 1 Year

  • 1. Preface
    1.1. Objectives of the Study
    1.2. Market Segmentation & Coverage
    1.3. Years Considered for the Study
    1.4. Currency & Pricing
    1.5. Language
    1.6. Limitations
    1.7. Assumptions
    1.8. Stakeholders
    2. Research Methodology
    2.1. Define: Research Objective
    2.2. Determine: Research Design
    2.3. Prepare: Research Instrument
    2.4. Collect: Data Source
    2.5. Analyze: Data Interpretation
    2.6. Formulate: Data Verification
    2.7. Publish: Research Report
    2.8. Repeat: Report Update
    3. Executive Summary
    4. Market Overview
    4.1. Introduction
    4.2. Artificial Intelligence in Remote Patient Monitoring Market, by Region
    5. Market Insights
    5.1. Market Dynamics
    5.1.1. Drivers
    5.1.1.1. Rise in adoption for real time monitoring and to improve patient engagement
    5.1.1.2. Growing demand to optimize management and lower human errors
    5.1.2. Restraints
    5.1.2.1. Lack of awareness in remote areas
    5.1.3. Opportunities
    5.1.3.1. Rising integration of security features in AI tools
    5.1.3.2. Shift in towards wearable technology
    5.1.4. Challenges
    5.1.4.1. Increasing concern related to cybersecurity and privacy
    5.2. Market Segmentation Analysis
    5.3. Market Trend Analysis
    5.4. Cumulative Impact of High Inflation
    5.5. Porter’s Five Forces Analysis
    5.5.1. Threat of New Entrants
    5.5.2. Threat of Substitutes
    5.5.3. Bargaining Power of Customers
    5.5.4. Bargaining Power of Suppliers
    5.5.5. Industry Rivalry
    5.6. Value Chain & Critical Path Analysis
    5.7. Regulatory Framework
    6. Artificial Intelligence in Remote Patient Monitoring Market, by Solution
    6.1. Introduction
    6.2. Hardware
    6.3. Services
    6.4. Software
    7. Artificial Intelligence in Remote Patient Monitoring Market, by Application
    7.1. Introduction
    7.2. Anesthesia Monitoring
    7.3. Blood Glucose Monitoring
    7.4. Brain Monitoring
    7.5. Cardiac Rhythm Monitoring
    7.6. Heart Rate Monitoring
    7.7. Respiratory Monitoring
    7.8. Temperature Monitoring
    8. Americas Artificial Intelligence in Remote Patient Monitoring Market
    8.1. Introduction
    8.2. Argentina
    8.3. Brazil
    8.4. Canada
    8.5. Mexico
    8.6. United States
    9. Asia-Pacific Artificial Intelligence in Remote Patient Monitoring Market
    9.1. Introduction
    9.2. Australia
    9.3. China
    9.4. India
    9.5. Indonesia
    9.6. Japan
    9.7. Malaysia
    9.8. Philippines
    9.9. Singapore
    9.10. South Korea
    9.11. Taiwan
    9.12. Thailand
    9.13. Vietnam
    10. Europe, Middle East & Africa Artificial Intelligence in Remote Patient Monitoring Market
    10.1. Introduction
    10.2. Denmark
    10.3. Egypt
    10.4. Finland
    10.5. France
    10.6. Germany
    10.7. Israel
    10.8. Italy
    10.9. Netherlands
    10.10. Nigeria
    10.11. Norway
    10.12. Poland
    10.13. Qatar
    10.14. Russia
    10.15. Saudi Arabia
    10.16. South Africa
    10.17. Spain
    10.18. Sweden
    10.19. Switzerland
    10.20. Turkey
    10.21. United Arab Emirates
    10.22. United Kingdom
    11. Competitive Landscape
    11.1. FPNV Positioning Matrix
    11.2. Market Share Analysis, By Key Player
    11.3. Competitive Scenario Analysis, By Key Player
    12. Competitive Portfolio
    12.1. Key Company Profiles
    12.1.1. Accuhealth Global Inc
    12.1.2. AiCure, LLC
    12.1.3. Apexon
    12.1.4. Binah.ai Ltd
    12.1.5. Biofourmis Inc.
    12.1.6. Cardiomo Care, Inc.
    12.1.7. ChroniSense Medical, Ltd.
    12.1.8. CU-BX Automotive Technologies Ltd.
    12.1.9. Current Health Limited
    12.1.10. DrKumo Inc.
    12.1.11. Ejenta, Inc.
    12.1.12. Feebris Ltd.
    12.1.13. Gyant.com, Inc.
    12.1.14. Huma Therapeutics Limited
    12.1.15. iBeat, Inc.
    12.1.16. iHealth Labs, Inc.
    12.1.17. Implicity
    12.1.18. Jorie Healthcare Patners LLC
    12.1.19. Myia Labs Inc.
    12.1.20. Neteera Technologies Ltd.
    12.1.21. Philips Healthcare
    12.1.22. Resideo Technologies, Inc
    12.1.23. Senseonics Holdings, Inc
    12.1.24. Somatix Inc.
    12.1.25. Zephyr AI
    12.2. Key Product Portfolio
    13. Appendix
    13.1. Discussion Guide
    13.2. License & Pricing
    FIGURE 1. ARTIFICIAL INTELLIGENCE IN REMOTE PATIENT MONITORING MARKET RESEARCH PROCESS
    FIGURE 2. ARTIFICIAL INTELLIGENCE IN REMOTE PATIENT MONITORING MARKET SIZE, 2023 VS 2030
    FIGURE 3. ARTIFICIAL INTELLIGENCE IN REMOTE PATIENT MONITORING MARKET SIZE, 2018-2030 (USD MILLION)
    FIGURE 4. ARTIFICIAL INTELLIGENCE IN REMOTE PATIENT MONITORING MARKET SIZE, BY REGION, 2023 VS 2030 (%)
    FIGURE 5. ARTIFICIAL INTELLIGENCE IN REMOTE PATIENT MONITORING MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 6. ARTIFICIAL INTELLIGENCE IN REMOTE PATIENT MONITORING MARKET DYNAMICS
    FIGURE 7. ARTIFICIAL INTELLIGENCE IN REMOTE PATIENT MONITORING MARKET SIZE, BY SOLUTION, 2023 VS 2030 (%)
    FIGURE 8. ARTIFICIAL INTELLIGENCE IN REMOTE PATIENT MONITORING MARKET SIZE, BY SOLUTION, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 9. ARTIFICIAL INTELLIGENCE IN REMOTE PATIENT MONITORING MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
    FIGURE 10. ARTIFICIAL INTELLIGENCE IN REMOTE PATIENT MONITORING MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 11. AMERICAS ARTIFICIAL INTELLIGENCE IN REMOTE PATIENT MONITORING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
    FIGURE 12. AMERICAS ARTIFICIAL INTELLIGENCE IN REMOTE PATIENT MONITORING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 13. UNITED STATES ARTIFICIAL INTELLIGENCE IN REMOTE PATIENT MONITORING MARKET SIZE, BY STATE, 2023 VS 2030 (%)
    FIGURE 14. UNITED STATES ARTIFICIAL INTELLIGENCE IN REMOTE PATIENT MONITORING MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 15. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN REMOTE PATIENT MONITORING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
    FIGURE 16. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN REMOTE PATIENT MONITORING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 17. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN REMOTE PATIENT MONITORING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
    FIGURE 18. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN REMOTE PATIENT MONITORING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 19. ARTIFICIAL INTELLIGENCE IN REMOTE PATIENT MONITORING MARKET, FPNV POSITIONING MATRIX, 2023
    FIGURE 20. ARTIFICIAL INTELLIGENCE IN REMOTE PATIENT MONITORING MARKET SHARE, BY KEY PLAYER, 2023

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