Artificial Intelligence in Cardiology Market Size, Growth, Trends | Report 2023-2032
The global artificial intelligence (AI) in cardiology market was valued at USD 1,470.63 million in 2022 and it is predicted to surpass around USD 42,629.90 million by 2032 with a CAGR of 40.03% from 2023 to 2032.
Artificial intelligence (AI) in cardiology refers to the use of machine learning algorithms, computer vision, and other AI technologies in the field of cardiovascular medicine. The aim is to improve diagnosis, treatment planning, and patient outcomes. AI can be used for various applications including image analysis for disease detection and diagnosis, predictive analytics for risk assessment and early intervention, personalized treatment planning based on patient-specific data, streamlining and automating administrative tasks, and enhancing clinical decision-making through real-time data analysis. The use of AI in cardiology is still in the early stages of development, but the potential benefits are significant and include improved accuracy, efficiency, and patient outcomes.
The future of cardiology will be highly based on various innovative digital technologies including artificial intelligence (AI), precision medicine, and the Internet of Things (IoT). The potential of AI in future cardiology is demonstrated by the development of methods for the detection of malignant arrhythmias through wearables, accurate prediction of CVD outcomes, diagnosis, treatment strategies, and outcome prediction for heart failure (HF) patients, and non-invasive diagnosis of coronary artery disease (CAD).
The COVID-19 pandemic has highlighted the need for AI in cardiology and has accelerated its adoption in many healthcare systems. The impact has also increased the demand for AI solutions that can improve patient outcomes and support the effective management of patients with cardiovascular conditions. For example, AI algorithms have been used to identify patients who are at high risk for severe illness from COVID-19 based on factors such as age, underlying health conditions, and vital signs. Additionally, AI has been used to support remote monitoring of patients with cardiovascular diseases, allowing for effective management and early intervention to prevent hospitalization. This has been particularly important during the pandemic as it reduces the risk of exposure to the virus and helps conserve limited hospital resources. The COVID-19 pandemic has accelerated the adoption of AI in cardiology, and its use is expected to increase in the future.
The goal of using AI in cardiology is to improve physician decision-making through data analysis. AI algorithms can help interpret test results such as angiograms and electrocardiograms to quickly detect abnormalities and speed up diagnosis. AI can also predict a patient's risk for chronic heart conditions, allowing for earlier treatment and more informed care plans. There has been significant investment in AI-powered cardiology products in recent years, in the last few years, there have been several considerable industry deals and partnerships in AI cardiology. For instance, in July 2022, the NewYork-Presbyterian hospital, in collaboration with Weill Cornell Medicine and Columbia University VP&S, is working with Cornell Tech and Cornell Bowers CIS to revolutionize cardiovascular health by utilizing AI and machine learning for heart disease prediction and prevention. Cornell University launched the Cardiovascular AI Initiative, a three-year, USD 15 million collaboration with New York Presbyterian Hospital.
Artificial Intelligence in Cardiology Market Segmentations:
| By Component | By End Use | By Application |
|
Hardware Software Solutions Services |
Life Science Companies Healthcare Payers Healthcare Providers |
Cardiac Arrhythmias Stroke Ischemic Heart Disease Others |
Artificial Intelligence in Cardiology Market Key Players and Regions Segmentations:
| Key Players | Regions Segmentations |
|
IDOVEN anumana, Inc. CardiAI Ultromics Limited. Arterys Inc. others |
North America Europe Asia Pacific Latin America MEA |
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Component Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Artificial Intelligence in Cardiology Market
5.1. COVID-19 Landscape: Artificial Intelligence in Cardiology Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Artificial Intelligence in Cardiology Market, By Component
8.1. Artificial Intelligence in Cardiology Market, by Component, 2023-2032
8.1.1 Hardware
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Software Solutions
8.1.2.1. Market Revenue and Forecast (2020-2032)
8.1.3. Services
8.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Artificial Intelligence in Cardiology Market, By End Use
9.1. Artificial Intelligence in Cardiology Market, by End Use, 2023-2032
9.1.1. Life Science Companies
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Healthcare Payers
9.1.2.1. Market Revenue and Forecast (2020-2032)
9.1.3. Healthcare Providers
9.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Artificial Intelligence in Cardiology Market, By Application
10.1. Artificial Intelligence in Cardiology Market, by Application, 2023-2032
10.1.1. Cardiac Arrhythmias
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Stroke
10.1.2.1. Market Revenue and Forecast (2020-2032)
10.1.3. Ischemic Heart Disease
10.1.3.1. Market Revenue and Forecast (2020-2032)
10.1.4. Others
10.1.4.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Artificial Intelligence in Cardiology Market, Regional Estimates and Trend Forecast
11.1. North America
11.1.1. Market Revenue and Forecast, by Component (2020-2032)
11.1.2. Market Revenue and Forecast, by End Use (2020-2032)
11.1.3. Market Revenue and Forecast, by Application (2020-2032)
11.1.4. U.S.
11.1.4.1. Market Revenue and Forecast, by Component (2020-2032)
11.1.4.2. Market Revenue and Forecast, by End Use (2020-2032)
11.1.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.1.5. Rest of North America
11.1.5.1. Market Revenue and Forecast, by Component (2020-2032)
11.1.5.2. Market Revenue and Forecast, by End Use (2020-2032)
11.1.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.2. Europe
11.2.1. Market Revenue and Forecast, by Component (2020-2032)
11.2.2. Market Revenue and Forecast, by End Use (2020-2032)
11.2.3. Market Revenue and Forecast, by Application (2020-2032)
11.2.4. UK
11.2.4.1. Market Revenue and Forecast, by Component (2020-2032)
11.2.4.2. Market Revenue and Forecast, by End Use (2020-2032)
11.2.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.2.5. Germany
11.2.5.1. Market Revenue and Forecast, by Component (2020-2032)
11.2.5.2. Market Revenue and Forecast, by End Use (2020-2032)
11.2.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.2.6. France
11.2.6.1. Market Revenue and Forecast, by Component (2020-2032)
11.2.6.2. Market Revenue and Forecast, by End Use (2020-2032)
11.2.6.3. Market Revenue and Forecast, by Application (2020-2032)
11.2.7. Rest of Europe
11.2.7.1. Market Revenue and Forecast, by Component (2020-2032)
11.2.7.2. Market Revenue and Forecast, by End Use (2020-2032)
11.2.7.3. Market Revenue and Forecast, by Application (2020-2032)
11.3. APAC
11.3.1. Market Revenue and Forecast, by Component (2020-2032)
11.3.2. Market Revenue and Forecast, by End Use (2020-2032)
11.3.3. Market Revenue and Forecast, by Application (2020-2032)
11.3.4. India
11.3.4.1. Market Revenue and Forecast, by Component (2020-2032)
11.3.4.2. Market Revenue and Forecast, by End Use (2020-2032)
11.3.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.3.5. China
11.3.5.1. Market Revenue and Forecast, by Component (2020-2032)
11.3.5.2. Market Revenue and Forecast, by End Use (2020-2032)
11.3.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.3.6. Japan
11.3.6.1. Market Revenue and Forecast, by Component (2020-2032)
11.3.6.2. Market Revenue and Forecast, by End Use (2020-2032)
11.3.6.3. Market Revenue and Forecast, by Application (2020-2032)
11.3.7. Rest of APAC
11.3.7.1. Market Revenue and Forecast, by Component (2020-2032)
11.3.7.2. Market Revenue and Forecast, by End Use (2020-2032)
11.3.7.3. Market Revenue and Forecast, by Application (2020-2032)
11.4. MEA
11.4.1. Market Revenue and Forecast, by Component (2020-2032)
11.4.2. Market Revenue and Forecast, by End Use (2020-2032)
11.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.4.4. GCC
11.4.4.1. Market Revenue and Forecast, by Component (2020-2032)
11.4.4.2. Market Revenue and Forecast, by End Use (2020-2032)
11.4.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.4.5. North Africa
11.4.5.1. Market Revenue and Forecast, by Component (2020-2032)
11.4.5.2. Market Revenue and Forecast, by End Use (2020-2032)
11.4.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.4.6. South Africa
11.4.6.1. Market Revenue and Forecast, by Component (2020-2032)
11.4.6.2. Market Revenue and Forecast, by End Use (2020-2032)
11.4.6.3. Market Revenue and Forecast, by Application (2020-2032)
11.4.7. Rest of MEA
11.4.7.1. Market Revenue and Forecast, by Component (2020-2032)
11.4.7.2. Market Revenue and Forecast, by End Use (2020-2032)
11.4.7.3. Market Revenue and Forecast, by Application (2020-2032)
11.5. Latin America
11.5.1. Market Revenue and Forecast, by Component (2020-2032)
11.5.2. Market Revenue and Forecast, by End Use (2020-2032)
11.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.5.4. Brazil
11.5.4.1. Market Revenue and Forecast, by Component (2020-2032)
11.5.4.2. Market Revenue and Forecast, by End Use (2020-2032)
11.5.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.5.5. Rest of LATAM
11.5.5.1. Market Revenue and Forecast, by Component (2020-2032)
11.5.5.2. Market Revenue and Forecast, by End Use (2020-2032)
11.5.5.3. Market Revenue and Forecast, by Application (2020-2032)
Chapter 12. Company Profiles
12.1. IDOVEN
12.1.1. Company Overview
12.1.2. Product Offerings
12.1.3. Financial Performance
12.1.4. Recent Initiatives
12.2. anumana, Inc.
12.2.1. Company Overview
12.2.2. Product Offerings
12.2.3. Financial Performance
12.2.4. Recent Initiatives
12.3. CardiAI
12.3.1. Company Overview
12.3.2. Product Offerings
12.3.3. Financial Performance
12.3.4. Recent Initiatives
12.4. Ultromics Limited.
12.4.1. Company Overview
12.4.2. Product Offerings
12.4.3. Financial Performance
12.4.4. Recent Initiatives
12.5. Arterys Inc.
12.5.1. Company Overview
12.5.2. Product Offerings
12.5.3. Financial Performance
12.5.4. Recent Initiatives
12.6. others
12.6.1. Company Overview
12.6.2. Product Offerings
12.6.3. Financial Performance
12.6.4. Recent Initiatives
Chapter 13. Research Methodology
13.1. Primary Research
13.2. Secondary Research
13.3. Assumptions
Chapter 14. Appendix
14.1. About Us
14.2. Glossary of Terms
Cross-segment Market Size and Analysis for
Mentioned Segments
Additional Company Profiles (Upto 5 With No Cost)
Additional Countries (Apart From Mentioned Countries)
Country/Region-specific Report
Go To Market Strategy
Region Specific Market DynamicsRegion Level Market Share Import Export AnalysisProduction AnalysisOthers