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Europe Artificial Intelligence In Cardiology Market Size, Share & Industry Analysis Report By Component, By Application, (Diagnosis, Prediction, Drug Discovery, and Other Application). By Medical Condition (Ischemic Heart Disease /CAD, Cardiac Arrhythmias

Publisher Knowledge Based Value (KBV) Research
Published Jun 09, 2025
Length 151 Pages
SKU # KBV20173142

Description

The Europe Artificial Intelligence In Cardiology Market would witness market growth of 32.0% CAGR during the forecast period (2025-2032).

The Germany market dominated the Europe Artificial Intelligence In Cardiology Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $918 million by 2032. The UK market is exhibiting a CAGR of 30.6% during (2025 - 2032). Additionally, The France market would experience a CAGR of 32.9% during (2025 - 2032).

AI plays a critical role in risk stratification and predictive analytics. Machine learning models analyze patient data, including medical records, genetic information, and lifestyle factors, to predict the likelihood of cardiovascular events such as heart attacks or strokes. For example, the CEREBRIA-1 study demonstrated the non-inferiority of AI in assessing the physiologic significance of coronary lesions, aiding decisions on revascularization.

In interventional cardiology, AI is making strides by optimizing procedures and enhancing outcomes. Robotic-assisted percutaneous coronary interventions (PCI) are emerging as a significant innovation, with AI guiding precise device placement and procedural planning. Additionally, AI-powered decision support systems assist clinicians in high-risk procedures by providing real-time recommendations, improving safety and efficacy. These applications underscore AI’s potential to enhance every facet of cardiovascular care, from early detection to complex interventions, making it an indispensable tool in modern cardiology.

Europe is at the forefront of integrating advanced technologies within its healthcare systems, and the adoption of Artificial Intelligence (AI) in cardiology is a key example of this trend. The continent faces a significant cardiovascular disease burden, as heart-related ailments remain one of the leading causes of morbidity and mortality across European nations. Rapid advancements in AI technologies, combined with strong healthcare infrastructure, government support for digital health transformation, and a well-established network of research institutions, are driving the growth of AI applications in cardiology.

AI in cardiology encompasses a range of innovations including AI-powered diagnostic imaging, predictive analytics, remote patient monitoring, and decision support systems that enhance early detection, personalized treatment, and management of cardiac diseases. Across Europe, healthcare providers and technology companies are increasingly collaborating to develop and deploy AI solutions that aim to improve clinical outcomes while optimizing healthcare resources. The increasing prevalence of chronic cardiovascular conditions, an aging population, and a growing focus on value-based care models further accelerate the demand for AI-enabled cardiology tools.

Market trends across this region indicate increasing deployment of AI-assisted diagnostic tools, such as automated ECG interpretation and AI-enhanced cardiac imaging. There is also a growing interest in AI for predictive analytics and personalized patient care to reduce hospitalizations and improve chronic disease management. Competitive players range from multinational AI healthcare companies to regional startups innovating in cardiology-specific AI applications. Cross-border collaborations within the EU foster knowledge exchange and regulatory harmonization, aiding market growth. Hence, Europe’s proactive embrace of AI in cardiology is transforming cardiac care delivery, positioning the region as a global leader in digital health innovation.

Based on Component, the market is segmented into Hardware, Software, and Services. Based on Application, the market is segmented into Diagnosis, Prediction, Drug Discovery, and Other Application. Based on Medical Condition, the market is segmented into Ischemic Heart Disease /CAD, Cardiac Arrhythmias, Heart Failure, and Other Medical Condition. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.

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.
Europe 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 Country
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe

Table of Contents

151 Pages
Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Europe Artificial Intelligence In Cardiology Market, by Component
1.4.2 Europe Artificial Intelligence In Cardiology Market, by Application
1.4.3 Europe Artificial Intelligence In Cardiology Market, by Medical Condition
1.4.4 Europe Artificial Intelligence In Cardiology Market, by Country
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. Europe Artificial Intelligence In Cardiology Market by Component
7.1 Europe Hardware Market by Country
7.2 Europe Software Market by Country
7.3 Europe Services Market by Country
Chapter 8. Europe Artificial Intelligence In Cardiology Market by Application
8.1 Europe Diagnosis Market by Country
8.2 Europe Prediction Market by Country
8.3 Europe Drug Discovery Market by Country
8.4 Europe Other Application Market by Country
Chapter 9. Europe Artificial Intelligence In Cardiology Market by Medical Condition
9.1 Europe Ischemic Heart Disease /CAD Market by Country
9.2 Europe Cardiac Arrhythmias Market by Country
9.3 Europe Heart Failure Market by Country
9.4 Europe Other Medical Condition Market by Country
Chapter 10. Europe Artificial Intelligence In Cardiology Market by Country
10.1 Germany Artificial Intelligence In Cardiology Market
10.1.1 Germany Artificial Intelligence In Cardiology Market by Component
10.1.2 Germany Artificial Intelligence In Cardiology Market by Application
10.1.3 Germany Artificial Intelligence In Cardiology Market by Medical Condition
10.2 UK Artificial Intelligence In Cardiology Market
10.2.1 UK Artificial Intelligence In Cardiology Market by Component
10.2.2 UK Artificial Intelligence In Cardiology Market by Application
10.2.3 UK Artificial Intelligence In Cardiology Market by Medical Condition
10.3 France Artificial Intelligence In Cardiology Market
10.3.1 France Artificial Intelligence In Cardiology Market by Component
10.3.2 France Artificial Intelligence In Cardiology Market by Application
10.3.3 France Artificial Intelligence In Cardiology Market by Medical Condition
10.4 Russia Artificial Intelligence In Cardiology Market
10.4.1 Russia Artificial Intelligence In Cardiology Market by Component
10.4.2 Russia Artificial Intelligence In Cardiology Market by Application
10.4.3 Russia Artificial Intelligence In Cardiology Market by Medical Condition
10.5 Spain Artificial Intelligence In Cardiology Market
10.5.1 Spain Artificial Intelligence In Cardiology Market by Component
10.5.2 Spain Artificial Intelligence In Cardiology Market by Application
10.5.3 Spain Artificial Intelligence In Cardiology Market by Medical Condition
10.6 Italy Artificial Intelligence In Cardiology Market
10.6.1 Italy Artificial Intelligence In Cardiology Market by Component
10.6.2 Italy Artificial Intelligence In Cardiology Market by Application
10.6.3 Italy Artificial Intelligence In Cardiology Market by Medical Condition
10.7 Rest of Europe Artificial Intelligence In Cardiology Market
10.7.1 Rest of Europe Artificial Intelligence In Cardiology Market by Component
10.7.2 Rest of Europe Artificial Intelligence In Cardiology Market by Application
10.7.3 Rest of Europe 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

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