The report includes:
- Impact analysis of artificial intelligence (AI) on the global cardiovascular devices market
- Case studies for successful integration of AI and machine learning in diagnostic imaging, device performance monitoring, risk prediction and treatment planning
- Highlights of AI adoption trends across major geographical regions, as well as disruptions caused by AI across key cardiology, medical devices and healthcare technology industry verticals
- AI’s role in clinical decision support, personalized cardiac care, product innovation and operational efficiency
- Review of AI impact on the various stages of the global cardiovascular devices value chain and supply chain analysis
- Competitive landscape featuring key strategic initiatives, market spendings and an investment outlook
Table of Contents
Chapter 1 Key Use Cases for AI Adoption in Cardiovascular Devices- Overview
- Key Use Cases/Case Studies
- Case 1: Interventional Cardiology
- Case 2: Cardiac Rhythm Management
- Case 3: Cardiac Diagnostic and Monitoring
- Case 4: Cardiac Assist Devices
- Case 5: Electrophysiology
- Adoption Trends by Region
- Adoption Trends in North America
- Adoption Trends in Europe
- Adoption Trends in Asia-Pacific
- Adoption Trends in the Rest of the World
- Impact of AI on Key Industry Verticals
- Hospital and Clinics
- Ambulatory Surgery Centers
- Diagnostic Laboratories
- Impact of AI on Various Stages of the Supply Chain
- Research and Development
- Manufacturing
- Demand Forecasting and Inventory Management
- Overview
- Market Spending and Forecasting Analysis
- Key Spending by Technologies for Cardiovascular Devices on AI
- Venture Capital Investment in AI for Cardiovascular Devices
- Key Trends in VC Investment
- Notable VC Investments
- Abbreviations Used in the Report
Table 1: Key Initiatives by Companies on AI, 2024-2025
Table 2: Key Spending by Companies on AI-Based Cardiovascular Devices, 2024-2026
Table 3: Abbreviations Used in This Report
List of Figures
Figure 1: Impact of AI on Value Chain

