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

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    Report

  • 197 Pages
  • March 2024
  • Region: Global
  • 360iResearch™
  • ID: 5337441
UP TO OFF until Dec 31st 2024
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The Artificial Intelligence in Remote Patient Monitoring Market size was estimated at USD 1.40 billion in 2023, USD 1.77 billion in 2024, and is expected to grow at a CAGR of 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?

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With the purchase of this report at the Multi-user License or greater level, you will have access to one hour with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This will need to be used within three months of purchase.

This report also includes a complimentary Excel file with data from the report for purchasers at the Site License or greater level.

Table of Contents

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
List of Figures
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

Companies Mentioned

  • 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.
  • Zephyr AI

Methodology

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Table Information