Remote Patient Monitoring Market Forecasts to 2032 – Global Analysis By Offering (Devices, Software, Services and Other Offerings), Transmission (Synchronous and Asynchronous), Mode of Delivery, Technology, Application, End User and By Geography
Description
According to Stratistics MRC, the Global Remote Patient Monitoring Market is accounted for $31.6 billion in 2025 and is expected to reach $80.2 billion by 2032 growing at a CAGR of 14.2% during the forecast period. Remote Patient Monitoring (RPM) is a healthcare practice that uses digital technologies to collect medical data from patients outside of traditional clinical settings. Devices such as wearables, smart sensors, and mobile apps track vital signs, chronic conditions, or treatment progress. This data is securely transmitted to healthcare providers for continuous monitoring and timely intervention. RPM improves patient outcomes, reduces hospital visits, and supports proactive care particularly for individuals managing long-term illnesses or recovering from procedures in home-based environments.
According to a retrospective analysis of Mayo Clinic’s COVID-19 remote patient monitoring program, engaged patients had a 30-day mortality rate of 0.5% compared to 1.7% for non engaged patients, and showed significantly lower rates of hospitalization and ICU admission.
Market Dynamics:
Driver:
Rising burden of chronic diseases and aging population
As populations age, healthcare systems are under pressure to manage long-term illnesses more efficiently. Remote patient monitoring offers a scalable solution by enabling real-time tracking of vital signs from home, reducing hospital admissions and improving care coordination. The integration of wearable technologies and mobile health platforms further enhances accessibility and patient engagement. This shift toward proactive care is transforming traditional healthcare delivery models.
Restraint:
Lack of digital literacy and technological adoption among patients
Elderly patients and those in rural or underserved areas often face challenges in using connected devices or navigating telehealth platforms. This digital divide hampers the effectiveness of RPM programs and may lead to underutilization of available tools. Additionally, concerns around data privacy and device usability contribute to hesitation among patients. Bridging this gap requires targeted education, simplified interfaces, and inclusive design strategies.
Opportunity:
Expansion into new therapeutic areas and applications
Remote monitoring is no longer confined to chronic disease management it’s expanding into post-operative care, mental health, and infectious disease surveillance. Innovations in biosensors and AI-driven analytics are enabling RPM solutions to support a broader range of clinical scenarios. For example, continuous monitoring of neurological parameters or rehabilitation progress is becoming feasible outside hospital settings. This diversification opens new revenue streams for device manufacturers and service providers, while also enhancing patient outcomes across specialties.
Threat:
Data overload and alert fatigue for clinicians
Frequent alerts especially false positives can lead to desensitization, delayed responses, or missed critical events. This phenomenon, known as alert fatigue, undermines the reliability of monitoring systems and increases the risk of adverse outcomes. To mitigate this, developers are focusing on intelligent algorithms that prioritize actionable alerts and contextualize patient data. However, balancing automation with clinical judgment remains a complex task.
Covid-19 Impact:
The pandemic acted as a catalyst for RPM adoption, highlighting its role in minimizing in-person visits and safeguarding vulnerable populations. While initial supply chain disruptions affected device availability, the surge in telehealth usage and remote consultations drove long-term growth. RPM became essential for monitoring COVID-positive patients at home, managing chronic conditions remotely, and supporting overwhelmed healthcare systems.
The devices segment is expected to be the largest during the forecast period
The devices segment is expected to account for the largest market share during the forecast period due to its foundational role in capturing patient data. From wearable sensors to implantable monitors, these tools provide continuous insights into physiological parameters. Their widespread adoption across hospitals, home care, and ambulatory settings underscores their versatility. Manufacturers are investing in miniaturization, battery efficiency, and interoperability to enhance device performance and user comfort.
The connected / wireless monitoring segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the connected / wireless monitoring segment is predicted to witness the highest growth rate driven by the proliferation of IoT-enabled health devices and mobile connectivity. These solutions allow seamless data transmission to cloud platforms, enabling real-time analytics and remote interventions. The convenience of wireless systems especially in home settings has accelerated patient acceptance and provider adoption.
Region with largest share:
During the forecast period, the North America region is expected to hold the largest market share attributed to robust healthcare infrastructure and high chronic disease prevalence. The region benefits from favorable reimbursement policies, strong digital health adoption, and active investment in RPM technologies. Leading players in the U.S. and Canada are driving innovation through strategic collaborations and product launches. Additionally, consumer awareness and demand for home-based care are reinforcing RPM’s role in mainstream healthcare delivery.
Region with highest CAGR:
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR owing to The region’s emphasis on value-based care, coupled with regulatory support for telehealth, is accelerating RPM integration. Advances in AI, cloud computing, and wearable tech are further propelling market expansion. As healthcare providers seek scalable solutions for population health management, RPM is emerging as a cornerstone of digital transformation in the region.
Key players in the market
Some of the key players in Remote Patient Monitoring Market include Welch Allyn, Vivify Health, Tunstall Healthcare, ResMed Inc., Qardio Inc., Philips Healthcare, Medtronic plc, Masimo Corporation, iRhythm Technologies, Honeywell Life Care Solutions, Health Recovery Solutions, GE HealthCare, Care Innovations, Boston Scientific Corporation, BioTelemetry, AMC Health, AliveCor Inc and Abbott Laboratories
Key Developments:
In June 2025, Medtronic announced “MiniMed” as the official name for its upcoming spin-off, the new standalone diabetes care business. This rebranding honors legacy origins and positions the company for focused growth and innovation in diabetes management.
In May 2025, AliveCor launched its flagship AI-powered KardiaMobile 6L Max and introduced KardiaAlert, an advanced ECG monitoring feature for subscribers. This marks its most sophisticated personal ECG system, integrating six-lead AI detection to improve heart rhythm alerts.
In March 2024, Boston Scientific agreed to acquire SoniVie Ltd., a developer of TIVUS™ intravascular ultrasound systems for renal denervation. The acquisition enhances the company’s interventional cardiology portfolio with novel hypertension treatment devices.
Offerings Covered:
• Devices
• Software
• Services
• Other Offerings
Transmissions Covered:
• Synchronous
• Asynchronous
Mode of Deliveries Covered:
• Connected / Wireless Monitoring
• Standalone Monitoring Systems
Technologies Covered:
• Connectivity Technology
• Data Processing & Analytics
• Monitoring Technology
• Communication Technology
• Interoperability & Integration
• Other Technologies
Applications Covered:
• Diabetes Management
• Respiratory Diseases
• Cardiology
• Oncology
• Neurology
• Mental Health & Behavioral Disorders
• Other Applications
End Users Covered:
• Hospitals & Clinics
• Homecare Settings / Patients
• Ambulatory Care Centers
• Long-Term Care Centers
• Other End Users
Regions Covered:
• North America
US
Canada
Mexico
• Europe
Germany
UK
Italy
France
Spain
Rest of Europe
• Asia Pacific
Japan
China
India
Australia
New Zealand
South Korea
Rest of Asia Pacific
• South America
Argentina
Brazil
Chile
Rest of South America
• Middle East & Africa
Saudi Arabia
UAE
Qatar
South Africa
Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Benchmarking of key players based on product portfolio, geographical presence, and strategic alliance
According to a retrospective analysis of Mayo Clinic’s COVID-19 remote patient monitoring program, engaged patients had a 30-day mortality rate of 0.5% compared to 1.7% for non engaged patients, and showed significantly lower rates of hospitalization and ICU admission.
Market Dynamics:
Driver:
Rising burden of chronic diseases and aging population
As populations age, healthcare systems are under pressure to manage long-term illnesses more efficiently. Remote patient monitoring offers a scalable solution by enabling real-time tracking of vital signs from home, reducing hospital admissions and improving care coordination. The integration of wearable technologies and mobile health platforms further enhances accessibility and patient engagement. This shift toward proactive care is transforming traditional healthcare delivery models.
Restraint:
Lack of digital literacy and technological adoption among patients
Elderly patients and those in rural or underserved areas often face challenges in using connected devices or navigating telehealth platforms. This digital divide hampers the effectiveness of RPM programs and may lead to underutilization of available tools. Additionally, concerns around data privacy and device usability contribute to hesitation among patients. Bridging this gap requires targeted education, simplified interfaces, and inclusive design strategies.
Opportunity:
Expansion into new therapeutic areas and applications
Remote monitoring is no longer confined to chronic disease management it’s expanding into post-operative care, mental health, and infectious disease surveillance. Innovations in biosensors and AI-driven analytics are enabling RPM solutions to support a broader range of clinical scenarios. For example, continuous monitoring of neurological parameters or rehabilitation progress is becoming feasible outside hospital settings. This diversification opens new revenue streams for device manufacturers and service providers, while also enhancing patient outcomes across specialties.
Threat:
Data overload and alert fatigue for clinicians
Frequent alerts especially false positives can lead to desensitization, delayed responses, or missed critical events. This phenomenon, known as alert fatigue, undermines the reliability of monitoring systems and increases the risk of adverse outcomes. To mitigate this, developers are focusing on intelligent algorithms that prioritize actionable alerts and contextualize patient data. However, balancing automation with clinical judgment remains a complex task.
Covid-19 Impact:
The pandemic acted as a catalyst for RPM adoption, highlighting its role in minimizing in-person visits and safeguarding vulnerable populations. While initial supply chain disruptions affected device availability, the surge in telehealth usage and remote consultations drove long-term growth. RPM became essential for monitoring COVID-positive patients at home, managing chronic conditions remotely, and supporting overwhelmed healthcare systems.
The devices segment is expected to be the largest during the forecast period
The devices segment is expected to account for the largest market share during the forecast period due to its foundational role in capturing patient data. From wearable sensors to implantable monitors, these tools provide continuous insights into physiological parameters. Their widespread adoption across hospitals, home care, and ambulatory settings underscores their versatility. Manufacturers are investing in miniaturization, battery efficiency, and interoperability to enhance device performance and user comfort.
The connected / wireless monitoring segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the connected / wireless monitoring segment is predicted to witness the highest growth rate driven by the proliferation of IoT-enabled health devices and mobile connectivity. These solutions allow seamless data transmission to cloud platforms, enabling real-time analytics and remote interventions. The convenience of wireless systems especially in home settings has accelerated patient acceptance and provider adoption.
Region with largest share:
During the forecast period, the North America region is expected to hold the largest market share attributed to robust healthcare infrastructure and high chronic disease prevalence. The region benefits from favorable reimbursement policies, strong digital health adoption, and active investment in RPM technologies. Leading players in the U.S. and Canada are driving innovation through strategic collaborations and product launches. Additionally, consumer awareness and demand for home-based care are reinforcing RPM’s role in mainstream healthcare delivery.
Region with highest CAGR:
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR owing to The region’s emphasis on value-based care, coupled with regulatory support for telehealth, is accelerating RPM integration. Advances in AI, cloud computing, and wearable tech are further propelling market expansion. As healthcare providers seek scalable solutions for population health management, RPM is emerging as a cornerstone of digital transformation in the region.
Key players in the market
Some of the key players in Remote Patient Monitoring Market include Welch Allyn, Vivify Health, Tunstall Healthcare, ResMed Inc., Qardio Inc., Philips Healthcare, Medtronic plc, Masimo Corporation, iRhythm Technologies, Honeywell Life Care Solutions, Health Recovery Solutions, GE HealthCare, Care Innovations, Boston Scientific Corporation, BioTelemetry, AMC Health, AliveCor Inc and Abbott Laboratories
Key Developments:
In June 2025, Medtronic announced “MiniMed” as the official name for its upcoming spin-off, the new standalone diabetes care business. This rebranding honors legacy origins and positions the company for focused growth and innovation in diabetes management.
In May 2025, AliveCor launched its flagship AI-powered KardiaMobile 6L Max and introduced KardiaAlert, an advanced ECG monitoring feature for subscribers. This marks its most sophisticated personal ECG system, integrating six-lead AI detection to improve heart rhythm alerts.
In March 2024, Boston Scientific agreed to acquire SoniVie Ltd., a developer of TIVUS™ intravascular ultrasound systems for renal denervation. The acquisition enhances the company’s interventional cardiology portfolio with novel hypertension treatment devices.
Offerings Covered:
• Devices
• Software
• Services
• Other Offerings
Transmissions Covered:
• Synchronous
• Asynchronous
Mode of Deliveries Covered:
• Connected / Wireless Monitoring
• Standalone Monitoring Systems
Technologies Covered:
• Connectivity Technology
• Data Processing & Analytics
• Monitoring Technology
• Communication Technology
• Interoperability & Integration
• Other Technologies
Applications Covered:
• Diabetes Management
• Respiratory Diseases
• Cardiology
• Oncology
• Neurology
• Mental Health & Behavioral Disorders
• Other Applications
End Users Covered:
• Hospitals & Clinics
• Homecare Settings / Patients
• Ambulatory Care Centers
• Long-Term Care Centers
• Other End Users
Regions Covered:
• North America
US
Canada
Mexico
• Europe
Germany
UK
Italy
France
Spain
Rest of Europe
• Asia Pacific
Japan
China
India
Australia
New Zealand
South Korea
Rest of Asia Pacific
• South America
Argentina
Brazil
Chile
Rest of South America
• Middle East & Africa
Saudi Arabia
UAE
Qatar
South Africa
Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Benchmarking of key players based on product portfolio, geographical presence, and strategic alliance
Table of Contents
200 Pages
- 1 Executive Summary
- 2 Preface
- 2.1 Abstract
- 2.2 Stake Holders
- 2.3 Research Scope
- 2.4 Research Methodology
- 2.4.1 Data Mining
- 2.4.2 Data Analysis
- 2.4.3 Data Validation
- 2.4.4 Research Approach
- 2.5 Research Sources
- 2.5.1 Primary Research Sources
- 2.5.2 Secondary Research Sources
- 2.5.3 Assumptions
- 3 Market Trend Analysis
- 3.1 Introduction
- 3.2 Drivers
- 3.3 Restraints
- 3.4 Opportunities
- 3.5 Threats
- 3.6 Application Analysis
- 3.7 End User Analysis
- 3.8 Emerging Markets
- 3.9 Impact of Covid-19
- 4 Porters Five Force Analysis
- 4.1 Bargaining power of suppliers
- 4.2 Bargaining power of buyers
- 4.3 Threat of substitutes
- 4.4 Threat of new entrants
- 4.5 Competitive rivalry
- 5 Global Artificial Intelligence (AI) in Medical Imaging Market, By Imaging Modality
- 5.1 Introduction
- 5.2 X-Ray
- 5.3 Computed Tomography (CT)
- 5.4 Magnetic Resonance Imaging (MRI)
- 5.5 Ultrasound
- 5.6 Positron Emission Tomography (PET)
- 5.7 Mammography
- 5.8 Other Imaging Modalities
- 6 Global Artificial Intelligence (AI) in Medical Imaging Market, By AI Type
- 6.1 Introduction
- 6.2 Machine Learning
- 6.3 Deep Learning
- 6.4 Natural Language Processing (NLP)
- 6.5 Computer Vision
- 7 Global Artificial Intelligence (AI) in Medical Imaging Market, By Clinical Area
- 7.1 Introduction
- 7.2 Radiology
- 7.3 Cardiology
- 7.4 Neurology
- 7.5 Breast Screening/Breast Imaging
- 7.6 Oncology
- 7.7 Respiratory & Pulmonary
- 7.8 Orthopedics
- 7.9 Other Clinical Areas
- 8 Global Artificial Intelligence (AI) in Medical Imaging Market, By Deployment Model
- 8.1 Introduction
- 8.2 On-Premise
- 8.3 Cloud-based
- 8.4 Hybrid
- 9 Global Artificial Intelligence (AI) in Medical Imaging Market, By Component
- 9.1 Introduction
- 9.2 Software
- 9.2.1 AI Algorithms & Models
- 9.2.2 AI Platforms & Frameworks
- 9.2.3 AI-Powered Applications
- 9.3 Hardware
- 9.3.1 Specialized Processors
- 9.3.2 High-Performance Computing (HPC) Systems
- 9.3.3 Storage Solutions
- 9.3.4 AI-Integrated Imaging Devices
- 9.4 Services
- 9.4.1 Consulting Services
- 9.4.2 Implementation & Integration Services
- 9.4.3 Data Annotation & Curation Services
- 10 Global Artificial Intelligence (AI) in Medical Imaging Market, By Application
- 10.1 Introduction
- 10.2 Image analysis & Interpretation
- 10.3 Computer-Aided Diagnosis (CAD)
- 10.4 Quantitative Imaging & Biomarkers
- 10.5 Detection & Classification
- 10.6 Workflow Optimization & Triage
- 10.7 Other Applications
- 11 Global Artificial Intelligence (AI) in Medical Imaging Market, By End User
- 11.1 Introduction
- 11.2 Hospitals
- 11.3 Diagnostic Imaging Centers
- 11.4 Research Laboratories & Academic Institutions
- 11.5 Pharmaceutical & Biotechnology Companies
- 11.6 Other End Users
- 12 Global Artificial Intelligence (AI) in Medical Imaging Market, By Geography
- 12.1 Introduction
- 12.2 North America
- 12.2.1 US
- 12.2.2 Canada
- 12.2.3 Mexico
- 12.3 Europe
- 12.3.1 Germany
- 12.3.2 UK
- 12.3.3 Italy
- 12.3.4 France
- 12.3.5 Spain
- 12.3.6 Rest of Europe
- 12.4 Asia Pacific
- 12.4.1 Japan
- 12.4.2 China
- 12.4.3 India
- 12.4.4 Australia
- 12.4.5 New Zealand
- 12.4.6 South Korea
- 12.4.7 Rest of Asia Pacific
- 12.5 South America
- 12.5.1 Argentina
- 12.5.2 Brazil
- 12.5.3 Chile
- 12.5.4 Rest of South America
- 12.6 Middle East & Africa
- 12.6.1 Saudi Arabia
- 12.6.2 UAE
- 12.6.3 Qatar
- 12.6.4 South Africa
- 12.6.5 Rest of Middle East & Africa
- 13 Key Developments
- 13.1 Agreements, Partnerships, Collaborations and Joint Ventures
- 13.2 Acquisitions & Mergers
- 13.3 New Product Launch
- 13.4 Expansions
- 13.5 Other Key Strategies
- 12 Company Profiling
- 12.1 Aidoc
- 12.2 Arterys
- 12.3 Avicenna.AI
- 12.4 Canon Medical Systems Corporation
- 12.5 CureMetrix
- 12.6 Enlitic
- 12.7 GE HealthCare
- 12.8 HeartFlow Inc.
- 12.9 IBM Watson Health
- 12.10 Infervision
- 12.11 Lunit Inc.
- 12.12 Philips Healthcare
- 12.13 Qure.ai
- 12.14 RadNet
- 12.15 Riverain Technologies
- 12.16 ScreenPoint Medical
- 12.17 Siemens Healthineers
- 12.18 Therapixel
- 12.19 Zebra Medical Vision
- List of Tables
- Table 1 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Region (2024-2032) ($MN)
- Table 2 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Imaging Modality (2024-2032) ($MN)
- Table 3 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By X-Ray (2024-2032) ($MN)
- Table 4 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Computed Tomography (CT) (2024-2032) ($MN)
- Table 5 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Magnetic Resonance Imaging (MRI) (2024-2032) ($MN)
- Table 6 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Ultrasound (2024-2032) ($MN)
- Table 7 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Positron Emission Tomography (PET) (2024-2032) ($MN)
- Table 8 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Mammography (2024-2032) ($MN)
- Table 9 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Other Imaging Modalities (2024-2032) ($MN)
- Table 10 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By AI Type (2024-2032) ($MN)
- Table 11 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Machine Learning (2024-2032) ($MN)
- Table 12 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Deep Learning (2024-2032) ($MN)
- Table 13 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
- Table 14 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Computer Vision (2024-2032) ($MN)
- Table 15 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Clinical Area (2024-2032) ($MN)
- Table 16 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Radiology (2024-2032) ($MN)
- Table 17 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Cardiology (2024-2032) ($MN)
- Table 18 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Neurology (2024-2032) ($MN)
- Table 19 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Breast Screening/Breast Imaging (2024-2032) ($MN)
- Table 20 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Oncology (2024-2032) ($MN)
- Table 21 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Respiratory & Pulmonary (2024-2032) ($MN)
- Table 22 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Orthopedics (2024-2032) ($MN)
- Table 23 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Other Clinical Areas (2024-2032) ($MN)
- Table 24 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Deployment Model (2024-2032) ($MN)
- Table 25 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By On-Premise (2024-2032) ($MN)
- Table 26 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Cloud-based (2024-2032) ($MN)
- Table 27 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Hybrid (2024-2032) ($MN)
- Table 28 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Component (2024-2032) ($MN)
- Table 29 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Software (2024-2032) ($MN)
- Table 30 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By AI Algorithms & Models (2024-2032) ($MN)
- Table 31 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By AI Platforms & Frameworks (2024-2032) ($MN)
- Table 32 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By AI-Powered Applications (2024-2032) ($MN)
- Table 33 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Hardware (2024-2032) ($MN)
- Table 34 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Specialized Processors (2024-2032) ($MN)
- Table 35 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By High-Performance Computing (HPC) Systems (2024-2032) ($MN)
- Table 36 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Storage Solutions (2024-2032) ($MN)
- Table 37 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By AI-Integrated Imaging Devices (2024-2032) ($MN)
- Table 38 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Services (2024-2032) ($MN)
- Table 39 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Consulting Services (2024-2032) ($MN)
- Table 40 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Implementation & Integration Services (2024-2032) ($MN)
- Table 41 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Data Annotation & Curation Services (2024-2032) ($MN)
- Table 42 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Application (2024-2032) ($MN)
- Table 43 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Image analysis & Interpretation (2024-2032) ($MN)
- Table 44 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Computer-Aided Diagnosis (CAD) (2024-2032) ($MN)
- Table 45 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Quantitative Imaging & Biomarkers (2024-2032) ($MN)
- Table 46 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Detection & Classification (2024-2032) ($MN)
- Table 47 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Workflow Optimization & Triage (2024-2032) ($MN)
- Table 48 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Other Applications (2024-2032) ($MN)
- Table 49 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By End User (2024-2032) ($MN)
- Table 50 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Hospitals (2024-2032) ($MN)
- Table 51 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Diagnostic Imaging Centers (2024-2032) ($MN)
- Table 52 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Research Laboratories & Academic Institutions (2024-2032) ($MN)
- Table 53 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Pharmaceutical & Biotechnology Companies (2024-2032) ($MN)
- Table 54 Global Artificial Intelligence (AI) in Medical Imaging Market Outlook, By Other End Users (2024-2032) ($MN)
- Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
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