세계의 심장학 분야 인공지능(AI) 시장 규모, 점유율, 업계 분석 보고서 : 컴포넌트별, 용도별, 병상별, 지역별, 전망과 예측(2025-2032년)

The Global Artificial Intelligence In Cardiology Market size is expected to reach $18.21 billion by 2032, rising at a market growth of 32.3% CAGR during the forecast period.

One of the key trends in hardware for AI in cardiology is the growing adoption of edge computing devices that can process data locally within hospital or clinical environments. This reduces latency and enhances data privacy-a critical factor in healthcare. Furthermore, specialized AI chips, such as neural processing units (NPUs), are being incorporated into medical imaging systems and diagnostic devices to support real-time cardiac assessments.

The major strategies followed by the market participants are Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, In April, 2025, Tempus AI, Inc. unveiled a multi-center study titled "Electrocardiogram-based Artificial Intelligence-Assisted Detection of Heart Disease" (ECG-AID), focusing on evaluating the impact of AI-enabled predictive tests in cardiology . These efforts demonstrate Tempus' commitment to leveraging AI in the cardiology sector. Additionally, In April, 2025, Viz.ai, Inc. unveiled Viz 3D CTA, an AI-powered imaging solution designed to enhance 3D visualization of CT angiography. The technology improves diagnostic accuracy and speeds up clinical decision-making, especially in cardiology and stroke care, supporting faster interventions and improved patient outcomes through advanced artificial intelligence and automated workflows.

KBV Cardinal Matrix - Artificial Intelligence In Cardiology Market Competition Analysis

Based on the Analysis presented in the KBV Cardinal matrix; GE HealthCare Technologies, Inc. is the forerunner in the Artificial Intelligence In Cardiology Market. In March, 2025, GE HealthCare Technologies, Inc. unveiled the Revolution Vibe CT system, featuring Unlimited One-Beat cardiac imaging and advanced AI-powered solutions. Designed to enhance diagnostic accuracy and workflow efficiency, the system delivers high-quality images in a single heartbeat. It aims to improve patient outcomes and streamline operations in clinical environments. Companies such as Viz.ai, Inc., Tempus AI, Inc., and Koninklijke Philips N.V., and are some of the key innovators in Artificial Intelligence In Cardiology Market.

COVID 19 Impact Analysis

The COVID-19 pandemic had a transformative impact on the Artificial Intelligence (AI) in cardiology market, driving advancements and adoption in several positive ways. Below are key impacts described in past tense, focusing on general trends and developments without relying on market research data: The pandemic spurred widespread use of AI in cardiology by emphasizing the need for remote healthcare solutions. Thus, the COVID-19 pandemic had a positive impact on the market.

Market Growth Factors

Cardiovascular diseases remain the leading cause of morbidity and mortality worldwide. Factors such as aging populations, sedentary lifestyles, poor diets, smoking, and rising incidences of diabetes and hypertension have significantly escalated the prevalence of CVDs. This growing disease burden places immense pressure on healthcare systems to provide timely and accurate diagnoses and effective management to reduce complications and mortality. Thus, the rising incidence of cardiovascular diseases coupled with the critical need for early and accurate diagnosis represents a fundamental driver for the growth of AI in cardiology, positioning these technologies as essential tools in combating the global cardiac health crisis.

Additionally, the rapid evolution of medical imaging technologies and data analytics capabilities has been a key driver propelling AI integration into cardiology. Modern cardiovascular imaging techniques-such as echocardiography, cardiac magnetic resonance imaging (MRI), computed tomography (CT), and nuclear imaging-generate highly detailed and voluminous datasets. Interpreting this data accurately requires specialized expertise and significant time investment. Therefore, advancements in medical imaging and data analytics technologies serve as a powerful catalyst accelerating the adoption and effectiveness of AI solutions within cardiology, ultimately transforming cardiac care delivery.

Market Restraining Factors

One of the most significant restraints impeding the widespread adoption of artificial intelligence in cardiology is the growing concern over data privacy and security. Cardiovascular AI applications depend heavily on collecting, storing, and analyzing vast amounts of sensitive patient health data, including personal identifiers, medical histories, imaging scans, and real-time monitoring data. This enormous volume of data, often aggregated from multiple sources such as hospitals, wearable devices, and mobile applications, presents a lucrative target for cybercriminals. Thus, data privacy and security concerns act as a critical restraint on the market, necessitating stringent safeguards and ethical standards to foster patient trust and safe AI deployment.

Value Chain Analysis

The value chain analysis of the Artificial Intelligence in Cardiology Market highlights a comprehensive flow from Research and Development to End-User Adoption. It begins with foundational R&D Activities, followed by Data Acquisition & Management, essential for training AI models. The process moves into Model Development & Training, leading to Regulatory Approvals and Certifications. Once approved, Product Integration & Deployment take place within healthcare systems. Marketing and Sales Driving adoption through targeted promotion. After-Sales Support & Feedback Loop Enhancing solutions via continuous feedback.

Market Share Analysis

Component Outlook

Based on component, the market is characterized into hardware, software, and services. The software segment garnered 34% revenue share in the market in 2024. This segment includes a wide range of AI-enabled software platforms designed to assist cardiologists in clinical decision-making, predictive analysis, image interpretation, and patient risk assessment. AI software in cardiology often incorporates machine learning algorithms, deep learning frameworks, and natural language processing tools to analyze echocardiograms, CT scans, ECG data, and electronic health records.

Application Outlook

On the basis of application, the market is classified into diagnosis, prediction, drug discovery, and others. The prediction segment recorded 29% revenue share in the market in 2024. This segment encompasses AI tools used to forecast potential cardiac events and patient outcomes based on historical data, genetic information, lifestyle factors, and continuous monitoring inputs. Predictive analytics powered by machine learning models help healthcare professionals assess the risk of conditions such as heart attacks, strokes, and heart failure, allowing for preemptive interventions and personalized care strategies.

Medical Condition Outlook

By medical condition, the market is divided into ischemic heart disease /CAD, cardiac arrhythmias, heart failure, and others. The cardiac arrhythmias segment garnered 20% revenue share in the market in 2024. AI tools are being used extensively to detect and monitor irregular heart rhythms, such as atrial fibrillation, which often go unnoticed in their early stages. By analyzing ECG data and wearable device outputs, AI algorithms can identify abnormal patterns and notify healthcare providers in real time.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment recorded 43% revenue share in the market in 2024. This growth is primarily attributed to the presence of advanced healthcare infrastructure, a high concentration of AI and healthcare technology companies, and strong investments in digital health initiatives. The United States, in particular, has been at the forefront of AI integration in cardiology, leveraging technologies such as machine learning, deep learning, and predictive analytics to improve cardiovascular diagnostics, treatment planning, and patient monitoring.

Market Competition and Attributes

The competition in the Artificial Intelligence in Cardiology market is high. Numerous emerging companies and research-based startups are aggressively innovating in areas like ECG analysis, cardiac imaging, and predictive analytics. With increasing demand for precision cardiology, these players compete fiercely for clinical validation, AI breakthroughs, strategic partnerships, and regulatory clearances to establish a strong market foothold.

Recent Strategies Deployed in the Market

• May-2025: Cleerly, Inc. teamed up with Cardiac Care Alliance to integrate Cleerly's AI-powered coronary artery assessment technology into Cardiac Care Alliance's network. This collaboration aims to enhance cardiovascular care by ensuring appropriate procedures, reducing unnecessary testing, and improving patient outcomes through advanced, noninvasive imaging technology.
• Mar-2025: Ultromics Ltd. unveiled its EchoGo Heart Failure platform with AI-driven probability scoring to improve HFpEF diagnosis. This advancement reflects the growing role of AI in cardiology, providing clinicians with nuanced assessments, reducing diagnostic uncertainty, and supporting improved patient outcomes in managing complex heart failure cases.
• Mar-2025: Cleerly, Inc. teamed up with Bunkerhill Health to enhance AI-driven cardiac imaging evaluations. Integrating Cleerly's advanced coronary CT angiography analysis with Bunkerhill's Careblocks technology, this collaboration aims to improve early detection and personalized treatment of coronary artery disease, advancing noninvasive cardiovascular care.
• Jan-2025: Koninklijke Philips N.V. teamed up with Myocardial Solutions to enhance AI-driven cardiac MRI imaging. Their collaboration aims to improve early detection of heart disease in cancer patients, reduce scan times, and increase diagnostic accuracy. This initiative underscores the growing significance of AI in advancing cardiology diagnostics.
• Sep-2024: Viz.ai, Inc. teamed up with Cleerly to integrate Cleerly's AI-driven coronary CT analysis into Viz.ai's platform, aiming to enhance early detection of heart disease. This collaboration exemplifies the expanding role of artificial intelligence in cardiology, improving diagnostic accuracy and patient care within the evolving AI-driven cardiovascular healthcare market.

List of Key Companies Profiled

• IDOVEN S.L.
• Ultromics Ltd.
• CardiAI.Inc.
• Tempus AI, Inc.
• Koninklijke Philips N.V.
• Cleerly, Inc.
• Vista AI, Inc.
• Viz.ai, Inc.
• RSIP Vision Ltd.
• GE HealthCare Technologies, Inc.

Global Artificial Intelligence In Cardiology Market Report Segmentation

By Component

• Hardware
• Software
• Services

By Application

• Diagnosis
• Prediction
• Drug Discovery
• Other Application

By Medical Condition

• Ischemic Heart Disease /CAD
• Cardiac Arrhythmias
• Heart Failure
• Other Medical Condition

By Geography

• North America
  • US
  • Canada
  • Mexico
  • Rest of North America
• Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
• LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
• Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

• 1.1 Market Definition
• 1.2 Objectives
• 1.3 Market Scope
• 1.4 Segmentation
  • 1.4.1 Global Artificial Intelligence In Cardiology Market, by Component
  • 1.4.2 Global Artificial Intelligence In Cardiology Market, by Application
  • 1.4.3 Global Artificial Intelligence In Cardiology Market, by Medical Condition
  • 1.4.4 Global Artificial Intelligence In Cardiology Market, by Geography
• 1.5 Methodology for the research

Chapter 2. Market at a Glance

• 2.1 Key Highlights

Chapter 3. Market Overview

• 3.1 Introduction
  • 3.1.1 Overview
    • 3.1.1.1 Market Composition and Scenario
• 3.2 Key Factors Impacting the Market
  • 3.2.1 Market Drivers
  • 3.2.2 Market Restraints
  • 3.2.3 Market Opportunities
  • 3.2.4 Market Challenges

Chapter 4. Competition Analysis - Global

• 4.1 KBV Cardinal Matrix
• 4.2 Recent Industry Wide Strategic Developments
  • 4.2.1 Partnerships, Collaborations and Agreements
  • 4.2.2 Product Launches and Product Expansions
  • 4.2.3 Acquisition and Mergers
• 4.3 Market Share Analysis, 2024
• 4.4 Top Winning Strategies
  • 4.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
  • 4.4.2 Key Strategic Move: (Product Launches and Product Expansions : 2021, Nov - 2025, Apr) Leading Players
• 4.5 Porter Five Forces Analysis

Chapter 5. Value Chain Analysis of Artificial Intelligence In Cardiology Market

• 5.1 Research & Development (R&D):
• 5.2 Data Acquisition & Management:
• 5.3 Model Development & Training:
• 5.4 Regulatory Approval & Certification:
• 5.5 Product Integration & Deployment:
• 5.6 Marketing & Sales:
• 5.7 After-Sales Support & Feedback Loop:

Chapter 6. Key Customer Criteria - Artificial Intelligence In Cardiology Market

• 6.1 Diagnostic Accuracy
• 6.2 Regulatory Compliance
• 6.3 Data Privacy and Security
• 6.4 Integration with Existing Healthcare Systems
• 6.5 Clinical Validation and Peer-Reviewed Evidence
• 6.6 Ease of Use and Interface Design
• 6.7 Real-Time Processing and Speed
• 6.8 Cost-Effectiveness and Return on Investment (ROI)
• 6.9 Continuous Learning and Model Updates
• 6.10. Vendor Support and Training Services

Chapter 7. Global Artificial Intelligence In Cardiology Market by Component

• 7.1 Global Hardware Market by Region
• 7.2 Global Software Market by Region
• 7.3 Global Services Market by Region

Chapter 8. Global Artificial Intelligence In Cardiology Market by Application

• 8.1 Global Diagnosis Market by Region
• 8.2 Global Prediction Market by Region
• 8.3 Global Drug Discovery Market by Region
• 8.4 Global Other Application Market by Region

Chapter 9. Global Artificial Intelligence In Cardiology Market by Medical Condition

• 9.1 Global Ischemic Heart Disease /CAD Market by Region
• 9.2 Global Cardiac Arrhythmias Market by Region
• 9.3 Global Heart Failure Market by Region
• 9.4 Global Other Medical Condition Market by Region

Chapter 10. Global Artificial Intelligence In Cardiology Market by Region

• 10.1 North America Artificial Intelligence In Cardiology Market
  • 10.1.1 North America Artificial Intelligence In Cardiology Market by Component
    • 10.1.1.1 North America Hardware Market by Country
    • 10.1.1.2 North America Software Market by Country
    • 10.1.1.3 North America Services Market by Country
  • 10.1.2 North America Artificial Intelligence In Cardiology Market by Application
    • 10.1.2.1 North America Diagnosis Market by Country
    • 10.1.2.2 North America Prediction Market by Country
    • 10.1.2.3 North America Drug Discovery Market by Country
    • 10.1.2.4 North America Other Application Market by Country
  • 10.1.3 North America Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.1.3.1 North America Ischemic Heart Disease /CAD Market by Country
    • 10.1.3.2 North America Cardiac Arrhythmias Market by Country
    • 10.1.3.3 North America Heart Failure Market by Country
    • 10.1.3.4 North America Other Medical Condition Market by Country
  • 10.1.4 North America Artificial Intelligence In Cardiology Market by Country
    • 10.1.4.1 US Artificial Intelligence In Cardiology Market
      • 10.1.4.1.1 US Artificial Intelligence In Cardiology Market by Component
      • 10.1.4.1.2 US Artificial Intelligence In Cardiology Market by Application
      • 10.1.4.1.3 US Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.1.4.2 Canada Artificial Intelligence In Cardiology Market
      • 10.1.4.2.1 Canada Artificial Intelligence In Cardiology Market by Component
      • 10.1.4.2.2 Canada Artificial Intelligence In Cardiology Market by Application
      • 10.1.4.2.3 Canada Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.1.4.3 Mexico Artificial Intelligence In Cardiology Market
      • 10.1.4.3.1 Mexico Artificial Intelligence In Cardiology Market by Component
      • 10.1.4.3.2 Mexico Artificial Intelligence In Cardiology Market by Application
      • 10.1.4.3.3 Mexico Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.1.4.4 Rest of North America Artificial Intelligence In Cardiology Market
      • 10.1.4.4.1 Rest of North America Artificial Intelligence In Cardiology Market by Component
      • 10.1.4.4.2 Rest of North America Artificial Intelligence In Cardiology Market by Application
      • 10.1.4.4.3 Rest of North America Artificial Intelligence In Cardiology Market by Medical Condition
• 10.2 Europe Artificial Intelligence In Cardiology Market
  • 10.2.1 Europe Artificial Intelligence In Cardiology Market by Component
    • 10.2.1.1 Europe Hardware Market by Country
    • 10.2.1.2 Europe Software Market by Country
    • 10.2.1.3 Europe Services Market by Country
  • 10.2.2 Europe Artificial Intelligence In Cardiology Market by Application
    • 10.2.2.1 Europe Diagnosis Market by Country
    • 10.2.2.2 Europe Prediction Market by Country
    • 10.2.2.3 Europe Drug Discovery Market by Country
    • 10.2.2.4 Europe Other Application Market by Country
  • 10.2.3 Europe Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.2.3.1 Europe Ischemic Heart Disease /CAD Market by Country
    • 10.2.3.2 Europe Cardiac Arrhythmias Market by Country
    • 10.2.3.3 Europe Heart Failure Market by Country
    • 10.2.3.4 Europe Other Medical Condition Market by Country
  • 10.2.4 Europe Artificial Intelligence In Cardiology Market by Country
    • 10.2.4.1 Germany Artificial Intelligence In Cardiology Market
    • 10.2.4.2 Germany Artificial Intelligence In Cardiology Market by Component
      • 10.2.4.2.1 Germany Artificial Intelligence In Cardiology Market by Application
      • 10.2.4.2.2 Germany Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.2.4.3 UK Artificial Intelligence In Cardiology Market
      • 10.2.4.3.1 UK Artificial Intelligence In Cardiology Market by Component
      • 10.2.4.3.2 UK Artificial Intelligence In Cardiology Market by Application
      • 10.2.4.3.3 UK Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.2.4.4 France Artificial Intelligence In Cardiology Market
      • 10.2.4.4.1 France Artificial Intelligence In Cardiology Market by Component
      • 10.2.4.4.2 France Artificial Intelligence In Cardiology Market by Application
      • 10.2.4.4.3 France Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.2.4.5 Russia Artificial Intelligence In Cardiology Market
      • 10.2.4.5.1 Russia Artificial Intelligence In Cardiology Market by Component
      • 10.2.4.5.2 Russia Artificial Intelligence In Cardiology Market by Application
      • 10.2.4.5.3 Russia Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.2.4.6 Spain Artificial Intelligence In Cardiology Market
      • 10.2.4.6.1 Spain Artificial Intelligence In Cardiology Market by Component
      • 10.2.4.6.2 Spain Artificial Intelligence In Cardiology Market by Application
      • 10.2.4.6.3 Spain Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.2.4.7 Italy Artificial Intelligence In Cardiology Market
      • 10.2.4.7.1 Italy Artificial Intelligence In Cardiology Market by Component
      • 10.2.4.7.2 Italy Artificial Intelligence In Cardiology Market by Application
      • 10.2.4.7.3 Italy Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.2.4.8 Rest of Europe Artificial Intelligence In Cardiology Market
      • 10.2.4.8.1 Rest of Europe Artificial Intelligence In Cardiology Market by Component
      • 10.2.4.8.2 Rest of Europe Artificial Intelligence In Cardiology Market by Application
      • 10.2.4.8.3 Rest of Europe Artificial Intelligence In Cardiology Market by Medical Condition
• 10.3 Asia Pacific Artificial Intelligence In Cardiology Market
  • 10.3.1 Asia Pacific Artificial Intelligence In Cardiology Market by Component
    • 10.3.1.1 Asia Pacific Hardware Market by Country
    • 10.3.1.2 Asia Pacific Software Market by Country
    • 10.3.1.3 Asia Pacific Services Market by Country
  • 10.3.2 Asia Pacific Artificial Intelligence In Cardiology Market by Application
    • 10.3.2.1 Asia Pacific Diagnosis Market by Country
    • 10.3.2.2 Asia Pacific Prediction Market by Country
    • 10.3.2.3 Asia Pacific Drug Discovery Market by Country
    • 10.3.2.4 Asia Pacific Other Application Market by Country
  • 10.3.3 Asia Pacific Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.3.3.1 Asia Pacific Ischemic Heart Disease /CAD Market by Country
    • 10.3.3.2 Asia Pacific Cardiac Arrhythmias Market by Country
    • 10.3.3.3 Asia Pacific Heart Failure Market by Country
    • 10.3.3.4 Asia Pacific Other Medical Condition Market by Country
  • 10.3.4 Asia Pacific Artificial Intelligence In Cardiology Market by Country
    • 10.3.4.1 China Artificial Intelligence In Cardiology Market
    • 10.3.4.2 China Artificial Intelligence In Cardiology Market by Component
      • 10.3.4.2.1 China Artificial Intelligence In Cardiology Market by Application
      • 10.3.4.2.2 China Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.3.4.3 Japan Artificial Intelligence In Cardiology Market
      • 10.3.4.3.1 Japan Artificial Intelligence In Cardiology Market by Component
      • 10.3.4.3.2 Japan Artificial Intelligence In Cardiology Market by Application
      • 10.3.4.3.3 Japan Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.3.4.4 India Artificial Intelligence In Cardiology Market
      • 10.3.4.4.1 India Artificial Intelligence In Cardiology Market by Component
      • 10.3.4.4.2 India Artificial Intelligence In Cardiology Market by Application
      • 10.3.4.4.3 India Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.3.4.5 South Korea Artificial Intelligence In Cardiology Market
      • 10.3.4.5.1 South Korea Artificial Intelligence In Cardiology Market by Component
      • 10.3.4.5.2 South Korea Artificial Intelligence In Cardiology Market by Application
      • 10.3.4.5.3 South Korea Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.3.4.6 Singapore Artificial Intelligence In Cardiology Market
      • 10.3.4.6.1 Singapore Artificial Intelligence In Cardiology Market by Component
      • 10.3.4.6.2 Singapore Artificial Intelligence In Cardiology Market by Application
      • 10.3.4.6.3 Singapore Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.3.4.7 Malaysia Artificial Intelligence In Cardiology Market
      • 10.3.4.7.1 Malaysia Artificial Intelligence In Cardiology Market by Component
      • 10.3.4.7.2 Malaysia Artificial Intelligence In Cardiology Market by Application
      • 10.3.4.7.3 Malaysia Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.3.4.8 Rest of Asia Pacific Artificial Intelligence In Cardiology Market
      • 10.3.4.8.1 Rest of Asia Pacific Artificial Intelligence In Cardiology Market by Component
      • 10.3.4.8.2 Rest of Asia Pacific Artificial Intelligence In Cardiology Market by Application
      • 10.3.4.8.3 Rest of Asia Pacific Artificial Intelligence In Cardiology Market by Medical Condition
• 10.4 LAMEA Artificial Intelligence In Cardiology Market
  • 10.4.1 LAMEA Artificial Intelligence In Cardiology Market by Component
    • 10.4.1.1 LAMEA Hardware Market by Country
    • 10.4.1.2 LAMEA Software Market by Country
    • 10.4.1.3 LAMEA Services Market by Country
  • 10.4.2 LAMEA Artificial Intelligence In Cardiology Market by Application
    • 10.4.2.1 LAMEA Diagnosis Market by Country
    • 10.4.2.2 LAMEA Prediction Market by Country
    • 10.4.2.3 LAMEA Drug Discovery Market by Country
    • 10.4.2.4 LAMEA Other Application Market by Country
  • 10.4.3 LAMEA Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.4.3.1 LAMEA Ischemic Heart Disease /CAD Market by Country
    • 10.4.3.2 LAMEA Cardiac Arrhythmias Market by Country
    • 10.4.3.3 LAMEA Heart Failure Market by Country
    • 10.4.3.4 LAMEA Other Medical Condition Market by Country
  • 10.4.4 LAMEA Artificial Intelligence In Cardiology Market by Country
    • 10.4.4.1 Brazil Artificial Intelligence In Cardiology Market
      • 10.4.4.1.1 Brazil Artificial Intelligence In Cardiology Market by Component
      • 10.4.4.1.2 Brazil Artificial Intelligence In Cardiology Market by Application
      • 10.4.4.1.3 Brazil Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.4.4.2 Argentina Artificial Intelligence In Cardiology Market
      • 10.4.4.2.1 Argentina Artificial Intelligence In Cardiology Market by Component
      • 10.4.4.2.2 Argentina Artificial Intelligence In Cardiology Market by Application
      • 10.4.4.2.3 Argentina Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.4.4.3 UAE Artificial Intelligence In Cardiology Market
      • 10.4.4.3.1 UAE Artificial Intelligence In Cardiology Market by Component
      • 10.4.4.3.2 UAE Artificial Intelligence In Cardiology Market by Application
      • 10.4.4.3.3 UAE Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.4.4.4 Saudi Arabia Artificial Intelligence In Cardiology Market
      • 10.4.4.4.1 Saudi Arabia Artificial Intelligence In Cardiology Market by Component
      • 10.4.4.4.2 Saudi Arabia Artificial Intelligence In Cardiology Market by Application
      • 10.4.4.4.3 Saudi Arabia Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.4.4.5 South Africa Artificial Intelligence In Cardiology Market
      • 10.4.4.5.1 South Africa Artificial Intelligence In Cardiology Market by Component
      • 10.4.4.5.2 South Africa Artificial Intelligence In Cardiology Market by Application
      • 10.4.4.5.3 South Africa Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.4.4.6 Nigeria Artificial Intelligence In Cardiology Market
      • 10.4.4.6.1 Nigeria Artificial Intelligence In Cardiology Market by Component
      • 10.4.4.6.2 Nigeria Artificial Intelligence In Cardiology Market by Application
      • 10.4.4.6.3 Nigeria Artificial Intelligence In Cardiology Market by Medical Condition
    • 10.4.4.7 Rest of LAMEA Artificial Intelligence In Cardiology Market
      • 10.4.4.7.1 Rest of LAMEA Artificial Intelligence In Cardiology Market by Component
      • 10.4.4.7.2 Rest of LAMEA Artificial Intelligence In Cardiology Market by Application
      • 10.4.4.7.3 Rest of LAMEA Artificial Intelligence In Cardiology Market by Medical Condition

Chapter 11. Company Profiles

• 11.1 IDOVEN S.L.
  • 11.1.1 Company Overview
• 11.2 Ultromics Ltd.
  • 11.2.1 Company Overview
  • 11.2.2 Recent strategies and developments:
    • 11.2.2.1 Partnerships, Collaborations, and Agreements:
    • 11.2.2.2 Product Launches and Product Expansions:
• 11.3 CardiAI Inc.
  • 11.3.1 Company Overview
• 11.4 Tempus AI, Inc.
  • 11.4.1 Company Overview
  • 11.4.2 Financial Analysis
  • 11.4.3 Research & Development Expenses
  • 11.4.4 Recent strategies and developments:
    • 11.4.4.1 Product Launches and Product Expansions:
    • 11.4.4.2 Acquisition and Mergers:
  • 11.4.5 SWOT Analysis
• 11.5 Koninklijke Philips N.V.
  • 11.5.1 Company Overview
  • 11.5.2 Financial Analysis
  • 11.5.3 Segmental and Regional Analysis
  • 11.5.4 Research & Development Expense
  • 11.5.5 Recent strategies and developments:
    • 11.5.5.1 Partnerships, Collaborations, and Agreements:
    • 11.5.5.2 Product Launches and Product Expansions:
    • 11.5.5.3 Acquisition and Mergers:
  • 11.5.6 SWOT Analysis
• 11.6 Cleerly, Inc.
  • 11.6.1 Company Overview
  • 11.6.2 Recent strategies and developments:
    • 11.6.2.1 Partnerships, Collaborations, and Agreements:
• 11.7 Vista AI, Inc.
  • 11.7.1 Company Overview
• 11.8 Viz.ai, Inc.
  • 11.8.1 Company Overview
  • 11.8.2 Recent strategies and developments:
    • 11.8.2.1 Partnerships, Collaborations, and Agreements:
    • 11.8.2.2 Product Launches and Product Expansions:
• 11.9 RSIP Vision Ltd.
  • 11.9.1 Company Overview
• 11.10. GE HealthCare Technologies, Inc.
  • 11.10.1 Company Overview
  • 11.10.2 Financial Analysis
  • 11.10.3 Segmental and Regional Analysis
  • 11.10.4 Research & Development Expenses
  • 11.10.5 Recent strategies and developments:
    • 11.10.5.1 Product Launches and Product Expansions:
  • 11.10.6 SWOT Analysis

Chapter 12. Winning Imperatives of Artificial Intelligence In Cardiology Market