Global AI in Remote Patient Monitoring Market Size study & Forecast, by Component by Indication and End User and Regional Forecasts 2025-2035

Description

The Global AI in Remote Patient Monitoring (RPM) Market, valued at approximately USD 1.96 billion in 2024, is set to witness an impressive expansion at a CAGR of 27.5% from 2025 to 2035. AI-powered RPM solutions are rapidly reshaping the landscape of patient care by enabling continuous, data-driven monitoring outside traditional healthcare settings. Through sophisticated algorithms, predictive analytics, and real-time alerts, these systems facilitate early detection of complications, reduce hospital readmissions, and enhance patient engagement in disease management. This transformation is being accelerated by the surge in chronic disease prevalence, an aging population, and the healthcare sector's shift towards value-based care models. Furthermore, advancements in wearable technology, miniaturized sensors, and interoperability standards are allowing providers to integrate vast streams of patient-generated health data seamlessly into clinical decision-making processes.

The accelerating adoption of AI-driven RPM is closely tied to the growing need for proactive, preventive healthcare delivery. With cardiovascular disorders, diabetes, neurodegenerative diseases, and oncology cases on the rise, clinicians are increasingly relying on AI models to identify risk patterns and recommend timely interventions. According to industry sources, remote monitoring adoption rates in chronic care programs have doubled over the past five years, with AI-enhanced analytics proving instrumental in improving patient outcomes while lowering operational costs. Moreover, the integration of AI with wearable and implantable devices, combined with cloud-based platforms, is enabling care providers to scale monitoring capabilities for large patient populations without compromising quality. While the market is poised for exponential growth, data privacy concerns, regulatory complexities, and infrastructure disparities in low-resource regions remain important considerations for stakeholders.

Regionally, North America held the largest share of the AI in RPM market in 2025, supported by advanced healthcare infrastructure, widespread broadband penetration, and a robust ecosystem of technology innovators. High adoption rates of telehealth, favorable reimbursement policies, and an emphasis on personalized medicine further bolster the region's leadership. Europe continues to gain momentum with its emphasis on digital health integration and stringent healthcare quality standards. Meanwhile, the Asia Pacific region is projected to experience the fastest growth during the forecast period, fueled by rapid urbanization, rising healthcare expenditure, and government-backed digital health initiatives in countries like China, India, and Japan. The increasing prevalence of chronic conditions and the pressing need to bridge care gaps in remote areas make AI-enabled RPM an attractive investment for healthcare systems across APAC.

Major market players included in this report are:

Philips Healthcare
Medtronic plc
GE HealthCare Technologies Inc.
Siemens Healthineers AG
IBM Watson Health
Cerner Corporation (Oracle Health)
ResMed Inc.
Dexcom, Inc.
Abbott Laboratories
Masimo Corporation
AliveCor, Inc.
BioTelemetry, Inc. (a Philips company)
Omron Healthcare, Inc.
Boston Scientific Corporation
Biotronik SE & Co. KG

Global AI in Remote Patient Monitoring (RPM) Market Report Scope:

Historical Data - 2023, 2024
Base Year for Estimation - 2024
Forecast period - 2025-2035
Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa
Customization Scope - Free report customization (equivalent up to 8 analysts' working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within the countries involved in the study. The report also provides detailed information about crucial aspects, such as driving factors and challenges, which will define the future growth of the market. Additionally, it incorporates potential opportunities in micro-markets for stakeholders to invest, along with a detailed analysis of the competitive landscape and product offerings of key players. The detailed segments and sub-segments of the market are explained below:

By Component:

Device (Wearable, Implantable, Portable)
Software
Service

By Indication:

Cardiac
Neuro
Onco
Diabetes
Sleep
Mental Health

By End User:

Hospitals
Clinics
Payer

By Region:

North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Middle East & Africa
UAE
Saudi Arabia
South Africa
Rest of Middle East & Africa

Key Takeaways:

Market Estimates & Forecast for 10 years from 2025 to 2035.
Annualized revenues and regional level analysis for each market segment.
Detailed analysis of geographical landscape with Country level analysis of major regions.
Competitive landscape with information on major players in the market.
Analysis of key business strategies and recommendations on future market approach.
Analysis of competitive structure of the market.
Demand side and supply side analysis of the market.

Chapter 1. Global AI in Remote Patient Monitoring (RPM) Market Report Scope & Methodology

1.1. Research Objective
1.2. Research Methodology
- 1.2.1. Forecast Model
- 1.2.2. Desk Research
- 1.2.3. Top Down and Bottom-Up Approach
1.3. Research Attributes
1.4. Scope of the Study
- 1.4.1. Market Definition
- 1.4.2. Market Segmentation
1.5. Research Assumption
- 1.5.1. Inclusion & Exclusion
- 1.5.2. Limitations
- 1.5.3. Years Considered for the Study (Historical Data - 2023, 2024; Base Year for Estimation - 2024; Forecast period - 2025-2035)

Chapter 2. Executive Summary

2.1. CEO/CXO Standpoint
2.2. Strategic Insights
2.3. ESG Analysis
2.4. Key Findings

Chapter 3. Global AI in Remote Patient Monitoring (RPM) Market Forces Analysis

3.1. Market Forces Shaping The Global AI in RPM Market (2024-2035)
3.2. Drivers
- 3.2.1. Rapid rise in chronic disease prevalence and aging populations driving remote monitoring demand
- 3.2.2. Technological advancements - wearable sensors, edge-AI, and interoperability enabling scalable deployments
3.3. Restraints
- 3.3.1. Data privacy, cybersecurity concerns and fragmented regulatory frameworks constraining adoption
- 3.3.2. Reimbursement uncertainty and infrastructure disparities in low-resource settings limiting market penetration
3.4. Opportunities
- 3.4.1. Expansion across APAC and emerging markets backed by government digital health initiatives
- 3.4.2. Integration with telehealth, EHRs and value-based care models opening payer/provider partnership opportunities

Chapter 4. Global AI in Remote Patient Monitoring (RPM) Industry Analysis

4.1. Porter's 5 Forces Model
- 4.1.1. Bargaining Power of Buyer
- 4.1.2. Bargaining Power of Supplier
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
4.2. Porter's 5 Force Forecast Model (2024-2035)
4.3. PESTEL Analysis
- 4.3.1. Political
- 4.3.2. Economical
- 4.3.3. Social
- 4.3.4. Technological
- 4.3.5. Environmental
- 4.3.6. Legal
4.4. Top Investment Opportunities
4.5. Top Winning Strategies (2025)
4.6. Market Share Analysis (2024-2025)
4.7. Global Pricing Analysis And Trends 2025
4.8. Analyst Recommendation & Conclusion

Chapter 5. Global AI in Remote Patient Monitoring (RPM) Market Size & Forecasts by Component 2025-2035

5.1. Market Overview
5.2. Global AI in RPM Market Performance - Potential Analysis (2025)
5.3. Device (Wearable, Implantable, Portable)
- 5.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 5.3.2. Market size analysis, by region, 2025-2035
5.4. Software
- 5.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 5.4.2. Market size analysis, by region, 2025-2035
5.5. Service
- 5.5.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 5.5.2. Market size analysis, by region, 2025-2035

Chapter 6. Global AI in Remote Patient Monitoring (RPM) Market Size & Forecasts by Indication 2025-2035

6.1. Market Overview
6.2. Global AI in RPM Market Performance - Potential Analysis (2025)
6.3. Cardiac
- 6.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 6.3.2. Market size analysis, by region, 2025-2035
6.4. Neuro
- 6.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 6.4.2. Market size analysis, by region, 2025-2035
6.5. Onco
- 6.5.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 6.5.2. Market size analysis, by region, 2025-2035
6.6. Diabetes
- 6.6.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 6.6.2. Market size analysis, by region, 2025-2035
6.7. Sleep
- 6.7.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 6.7.2. Market size analysis, by region, 2025-2035
6.8. Mental Health
- 6.8.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 6.8.2. Market size analysis, by region, 2025-2035

Chapter 7. Global AI in Remote Patient Monitoring (RPM) Market Size & Forecasts by Region 2025-2035

7.1. AI in RPM Market, Regional Market Snapshot
7.2. Top Leading & Emerging Countries
7.3. North America AI in RPM Market
- 7.3.1. U.S. AI in RPM Market
  - 7.3.1.1. Component breakdown size & forecasts, 2025-2035
  - 7.3.1.2. End user & Indication breakdown size & forecasts, 2025-2035
- 7.3.2. Canada AI in RPM Market
  - 7.3.2.1. Component breakdown size & forecasts, 2025-2035
  - 7.3.2.2. End user & Indication breakdown size & forecasts, 2025-2035
7.4. Europe AI in RPM Market
- 7.4.1. UK AI in RPM Market
  - 7.4.1.1. Component breakdown size & forecasts, 2025-2035
  - 7.4.1.2. End user & Indication breakdown size & forecasts, 2025-2035
- 7.4.2. Germany AI in RPM Market
  - 7.4.2.1. Component breakdown size & forecasts, 2025-2035
  - 7.4.2.2. End user & Indication breakdown size & forecasts, 2025-2035
- 7.4.3. France AI in RPM Market
  - 7.4.3.1. Component breakdown size & forecasts, 2025-2035
  - 7.4.3.2. End user & Indication breakdown size & forecasts, 2025-2035
- 7.4.4. Spain AI in RPM Market
  - 7.4.4.1. Component breakdown size & forecasts, 2025-2035
  - 7.4.4.2. End user & Indication breakdown size & forecasts, 2025-2035
- 7.4.5. Italy AI in RPM Market
  - 7.4.5.1. Component breakdown size & forecasts, 2025-2035
  - 7.4.5.2. End user & Indication breakdown size & forecasts, 2025-2035
- 7.4.6. Rest of Europe AI in RPM Market
  - 7.4.6.1. Component breakdown size & forecasts, 2025-2035
  - 7.4.6.2. End user & Indication breakdown size & forecasts, 2025-2035
7.5. Asia Pacific AI in RPM Market
- 7.5.1. China AI in RPM Market
  - 7.5.1.1. Component breakdown size & forecasts, 2025-2035
  - 7.5.1.2. End user & Indication breakdown size & forecasts, 2025-2035
- 7.5.2. India AI in RPM Market
  - 7.5.2.1. Component breakdown size & forecasts, 2025-2035
  - 7.5.2.2. End user & Indication breakdown size & forecasts, 2025-2035
- 7.5.3. Japan AI in RPM Market
  - 7.5.3.1. Component breakdown size & forecasts, 2025-2035
  - 7.5.3.2. End user & Indication breakdown size & forecasts, 2025-2035
- 7.5.4. Australia AI in RPM Market
  - 7.5.4.1. Component breakdown size & forecasts, 2025-2035
  - 7.5.4.2. End user & Indication breakdown size & forecasts, 2025-2035
- 7.5.5. South Korea AI in RPM Market
  - 7.5.5.1. Component breakdown size & forecasts, 2025-2035
  - 7.5.5.2. End user & Indication breakdown size & forecasts, 2025-2035
- 7.5.6. Rest of APAC AI in RPM Market
  - 7.5.6.1. Component breakdown size & forecasts, 2025-2035
  - 7.5.6.2. End user & Indication breakdown size & forecasts, 2025-2035
7.6. Latin America AI in RPM Market
- 7.6.1. Brazil AI in RPM Market
  - 7.6.1.1. Component breakdown size & forecasts, 2025-2035
  - 7.6.1.2. End user & Indication breakdown size & forecasts, 2025-2035
- 7.6.2. Mexico AI in RPM Market
  - 7.6.2.1. Component breakdown size & forecasts, 2025-2035
  - 7.6.2.2. End user & Indication breakdown size & forecasts, 2025-2035
7.7. Middle East and Africa AI in RPM Market
- 7.7.1. UAE AI in RPM Market
  - 7.7.1.1. Component breakdown size & forecasts, 2025-2035
  - 7.7.1.2. End user & Indication breakdown size & forecasts, 2025-2035
- 7.7.2. Saudi Arabia (KSA) AI in RPM Market
  - 7.7.2.1. Component breakdown size & forecasts, 2025-2035
  - 7.7.2.2. End user & Indication breakdown size & forecasts, 2025-2035
- 7.7.3. South Africa AI in RPM Market
  - 7.7.3.1. Component breakdown size & forecasts, 2025-2035
  - 7.7.3.2. End user & Indication breakdown size & forecasts, 2025-2035

Chapter 8. Competitive Intelligence

8.1. Top Market Strategies
8.2. Philips Healthcare
- 8.2.1. Company Overview
- 8.2.2. Key Executives
- 8.2.3. Company Snapshot
- 8.2.4. Financial Performance (Subject to Data Availability)
- 8.2.5. Product/Services Port
- 8.2.6. Recent Development
- 8.2.7. Market Strategies
- 8.2.8. SWOT Analysis
8.3. Medtronic plc
8.4. GE HealthCare Technologies Inc.
8.5. Siemens Healthineers AG
8.6. IBM Watson Health
8.7. Cerner Corporation (Oracle Health)
8.8. ResMed Inc.
8.9. Dexcom, Inc.
8.10. Abbott Laboratories
8.11. Masimo Corporation
8.12. AliveCor, Inc.
8.13. BioTelemetry, Inc. (a Philips company)
8.14. Omron Healthcare, Inc.
8.15. Boston Scientific Corporation
8.16. Biotronik SE & Co. KG