Artificial Intelligence In Cardiology Market Size, Share & Trends Analysis Report By Component (Hardware, Services), By Application (Stroke, CHD/CAD), By Region, And Segment Forecasts, 2024 - 2030
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Artificial intelligence In Cardiology Market Growth & Trends
The global artificial intelligence in cardiology market size is expected treach USD 4.8 billion in 2030 and is projected tgrow at a CAGR of 24.6% from 2024 t2030 The increase in the adoption of new technologies by healthcare facilities for the diagnosis and treatment of cardiac diseases, the growing burden of cardiovascular diseases worldwide, and increasing competition among market players tlaunch new technologies for cardiac imaging are some of the major factors supporting the market's growth.
According tthe WHO, cardiovascular diseases are a major cause of death worldwide. The World Heart Federation states that cardiovascular deaths are expected trise in the coming years. i.e., from 18.9 million in 2020 t32.3 million in 2050. Some major causes of cardiac diseases are stress, sedentary lifestyles, and an increase in the consumption of fast food, among others. A significant number of people adopting a sedentary lifestyle is expected tincrease the disease burden further. This is expected timprove the demand for artificial intelligence (AI) technology taccurately detect cardiac abnormalities and thus boost the market in the post-pandemic period.
Aging is one of the major causes of cardiovascular diseases. According tthe National Institute of Health, aging is one of the major reasons for diseases such as coronary artery disease, stroke, heart attack, and other cardiovascular diseases. According tthe WHO, in 2020, over 1 billion people were aged 60 years and above, and by 2050, this number is expected trise t2.1 billion. The surge in the geriatric population is expected tincrease the burden of these diseases and thus support the demand for advanced AI technology in the coming years for treating heart diseases in a better way.
Artificial intelligence has improved and enhanced the accuracy of diagnosing cardiovascular diseases. Machine learning algorithms are increasingly being developed and are widely used in the diagnosis and treatment of heart failure, valvular heart disease, and coronary artery disease, among others. Improved diagnostic and prognostic capabilities using machine learning algorithms are enhancing the clinical care of patients suffering from cardiovascular diseases. Many studies have reported that artificial intelligence detects abnormalities in the heart with more than 80% accuracy. All the above-mentioned factors are likely tboost the demand for AI in cardiology.
Artificial Intelligence In Cardiology Market Report Highlights
Artificial intelligence In Cardiology Market Growth & Trends
The global artificial intelligence in cardiology market size is expected treach USD 4.8 billion in 2030 and is projected tgrow at a CAGR of 24.6% from 2024 t2030 The increase in the adoption of new technologies by healthcare facilities for the diagnosis and treatment of cardiac diseases, the growing burden of cardiovascular diseases worldwide, and increasing competition among market players tlaunch new technologies for cardiac imaging are some of the major factors supporting the market's growth.
According tthe WHO, cardiovascular diseases are a major cause of death worldwide. The World Heart Federation states that cardiovascular deaths are expected trise in the coming years. i.e., from 18.9 million in 2020 t32.3 million in 2050. Some major causes of cardiac diseases are stress, sedentary lifestyles, and an increase in the consumption of fast food, among others. A significant number of people adopting a sedentary lifestyle is expected tincrease the disease burden further. This is expected timprove the demand for artificial intelligence (AI) technology taccurately detect cardiac abnormalities and thus boost the market in the post-pandemic period.
Aging is one of the major causes of cardiovascular diseases. According tthe National Institute of Health, aging is one of the major reasons for diseases such as coronary artery disease, stroke, heart attack, and other cardiovascular diseases. According tthe WHO, in 2020, over 1 billion people were aged 60 years and above, and by 2050, this number is expected trise t2.1 billion. The surge in the geriatric population is expected tincrease the burden of these diseases and thus support the demand for advanced AI technology in the coming years for treating heart diseases in a better way.
Artificial intelligence has improved and enhanced the accuracy of diagnosing cardiovascular diseases. Machine learning algorithms are increasingly being developed and are widely used in the diagnosis and treatment of heart failure, valvular heart disease, and coronary artery disease, among others. Improved diagnostic and prognostic capabilities using machine learning algorithms are enhancing the clinical care of patients suffering from cardiovascular diseases. Many studies have reported that artificial intelligence detects abnormalities in the heart with more than 80% accuracy. All the above-mentioned factors are likely tboost the demand for AI in cardiology.
Artificial Intelligence In Cardiology Market Report Highlights
- Based on component, software segment is expected tgrow at the fastest CAGR during the forecast period. AI-based software in cardiology is revolutionizing the field by enhancing diagnostic accuracy, improving patient monitoring, and enabling personalized treatments
- The cardiac arrhythmias segment is expected tgrow at the fastest CAGR over the forecast period. Atrial Fibrillation (AF) is one of the most common clinically significant cardiac arrhythmias associated with various cardiovascular complications such as stroke and increased mortality.
- North America dominated the artificial intelligence in cardiology market with a revenue share of over 45.5% in 2023.
- The AI in cardiology market in the Asia Pacific is expected tbe driven by the increasing prevalence of cardiovascular diseases in multiple countries, fueling the demand for more efficient and accurate diagnostic & treatment solutions
CHAPTER 1 METHODOLOGY AND SCOPE
1.1 Market Segmentation and Scope
1.1.1 Segment Definition
1.1.1.1 Component type segment
1.1.1.2 Application segment
1.1.1.3 Medical condition segment
1.2 Regional Scope
1.2.1 Estimates And Forecast Timeline
1.3 Objectives
1.3.1 Objective -
1.3.2 Objective -
1.3.3 Objective -
1.4 Research Methodology
1.5 Information Procurement
1.6 Market-specific Research Models
1.6.1 Consensus-based estimates & forecasting
1.6.2 Model 1: Commodity Flow Analysis
1.6.2.1 List of some notable companies considered for commodity flow analysis
1.6.3 Model 2: Parent Market Analysis
1.6.4 Model 3: Country-Level Multivariate Analysis Assumptions
1.6.5 Model 4: Segment-Level Multivariate Analysis Assumptions
1.6.5.1 Global Segment-Level Multivariate Analysis: Component Type
1.6.5.2 Global Segment-Level Multivariate Analysis: Medical Condition Type
1.6.6 Ai In Cardiology Market Cagr Calculation
1.6.7 Other Variables Considered In The Market Analysis
1.6.7.1 Variable/Metrics 1 - Internet Penetration (% Of The Population)
1.6.7.2 Variable/Metrics 2 - AI Adoption Index
1.7 List of Secondary Sources
CHAPTER 2 EXECUTIVE SUMMARY
2.1 AI in Cardiology Market Snapshot
2.2 AI in Cardiology Market Segment Snapshot (Part 1)
2.3 AI in Cardiology Market Segment Snapshot (Part 2)
2.4 AI in Cardiology Market Competitive Landscape Snapshot
CHAPTER 3 AI IN CARDIOLOGY MARKET VARIABLES, TRENDS, & SCOPE
3.1 Market Lineage Outlook
3.1.1 Parent Market Outlook
3.2 Ai In Cardiology Market Dynamics
3.2.1 Market Driver Analysis
3.2.1.1 Growing Burden Of Cardiovascular Diseases And The Need For Efficient Healthcare Solutions
3.2.1.2 Increasing Strategic Initiatives In Ai Technologies
3.2.1.3 Technological Advancements In Ai Algorithms And Imaging Techniques
3.2.2 Market Restraint Analysis
3.2.2.1 Regulatory Challenges And Ethical Considerations
3.2.2.2 High Implementation And Procurement Costs
3.2.2.3 Lack Of Skilled Labor Having Knowledge Related To Technology
3.3 Ai In Cardiology Market Analysis Tools: Porters
3.4 SWOT Analysis by Factors (Political & Legal, Economic, Social, and Technology)
3.5 COVID-19 Impact
CHAPTER 4 AI IN CARDIOLOGY MARKET: COMPONENT ESTIMATES & TREND ANALYSIS
4.1 Segment Dashboard
4.2 Artificial Intelligence in Cardiology Market: Component Analysis, 2023 & 2030 (USD Million)
4.3 Artificial Intelligence in Cardiology Market, by Component, 2018 - 2030 (USD Million)
4.4 Software
4.4.1 Software Market Estimates And Forecasts, 2018 - 2030 (USD Million)
4.5 Hardware
4.5.1 Hardware Market Estimates And Forecasts, 2018 - 2030 (USD Million)
4.6 Services
4.6.1 Services Market Estimates And Forecasts, 2018 - 2030 (USD Million)
CHAPTER 5 ARTIFICIAL INTELLIGENCE IN CARDIOLOGY MARKET: APPLICATION ESTIMATES & TREND ANALYSIS
5.1 Segment Dashboard
5.2 Artificial Intelligence In Cardiology Market: Application Analysis, 2023 & 2030 (USD Million)
5.3 Artificial Intelligence In Cardiology Market, By Application, 2018 - 2030 (USD Million)
5.4 Diagnosis
5.4.1 Diagnosis Market Estimates And Forecasts, 2018 - 2030 (USD Million)
5.5 Prediction
5.5.1 Prediction Market Estimates And Forecasts, 2018 - 2030 (USD Million)
5.6 Drug Discovery
5.6.1 Drug Discovery Market Estimates And Forecasts, 2018 - 2030 (USD Million)
5.7 Others
5.7.1 Others Market Estimates And Forecasts, 2018 - 2030 (USD Million)
CHAPTER 6 ARTIFICIAL INTELLIGENCE IN CARDIOLOGY MARKET: MEDICAL CONDITION ESTIMATES & TREND ANALYSIS
6.1 Segment Dashboard
6.2 Artificial Intelligence In Cardiology Market: Medical Condition Analysis, 2023 & 2030 (USD Million)
6.3 Artificial Intelligence In Cardiology Market, By Medical Condition, 2018 - 2030 (USD Million)
6.4 Cardiac Arrhythmias
6.4.1 Cardiac Arrhythmias Market Estimates And Forecasts, 2018 - 2030 (USD Million)
6.5 Heart Failure
6.5.1 Heart Failure Market Estimates And Forecasts, 2018 - 2030 (USD Million)
6.6 Ischemic Heart Disease/Cad
6.6.1 Ischemic Heart Disease/Cad Market Estimates And Forecasts, 2018 - 2030 (USD Million)
6.7 Others
6.7.1 Others Market Estimates And Forecasts, 2018 - 2030 (USD Million)
CHAPTER 7 AI IN CARDIOLOGY MARKET: REGIONAL ESTIMATES & TREND ANALYSIS
7.1 AI in Cardiology Market Share, by Region, 2023 & 2030, USD Million
7.2 North America
7.2.1 Regulatory Framework
7.2.2 North America Artificial Intelligence In Cardiology Market Estimates And Forecasts, 2018 - 2030 (USD Million)
7.2.3 U.S.
7.2.3.1 U.S. Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.2.4 CANADA
7.2.4.1 Canada Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.3 Europe
7.3.1 Regulatory Framework
7.3.2 Europe Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.3.3 UK
7.3.3.1 UK Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.3.4 Germany
7.3.4.1 Germany Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.3.5 France
7.3.5.1 France Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.3.6 Italy
7.3.6.1 Italy Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.3.7 Spain
7.3.7.1 SPAIN Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.3.8 Sweden
7.3.8.1 Sweden Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.3.9 Denmark
7.3.9.1 Denmark Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.3.10 Norway
7.3.10.1 Norway Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.4 Asia Pacific
7.4.1 Regulatory Framework
7.4.2 Asia Pacific Artificial Intelligence In cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.4.3 Japan
7.4.3.1 Japan Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.4.4 China
7.4.4.1 China Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.4.5 India
7.4.5.1 India Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.4.6 Australia
7.4.6.1 Australia Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.4.7 Thailand
7.4.7.1 Thailand Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.4.8 South Korea
7.4.8.1 South Korea Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.5 Latin America
7.5.1 Regulatory Framework
7.5.2 Latin America Artificial Intelligence In cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.5.3 Brazil
7.5.3.1 Brazil Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.5.4 Argentina
7.5.4.1 Argentina Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.5.5 Mexico
7.5.5.1 Mexico Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.6 Middle East & Africa
7.6.1 Regulatory Framework
7.6.2 MEA Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.6.3 SOUTH AFRICA
7.6.3.1 South Africa Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.6.4 SAUDI ARABIA
7.6.4.1 Saudi Arabia Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.6.5 UAE
7.6.5.1 UAE Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.6.6 KUWAIT
7.6.6.1 Kuwait Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
CHAPTER 8 AI IN CARDIOLOGY MARKET: COMPETITIVE ANALYSIS
8.1 Recent Developments & Impact Analysis, by Key Market Participants
8.2 Company Categorization
8.3 Company Market Position Analysis
CHAPTER 9 AI IN CARDIOLOGY MARKET: COMPETITIVE LANDSCAPE
9.1. Recent Developments & Impact Analysis, By Key Market Participants
9.2. Company/Competition Categorization
9.3. Key company market share/position analysis, 2023
9.4. Company Profiles
9.4.1. IDOVEN
9.4.1.1. Company overview
9.4.1.2. Financial performance
9.4.1.3. Technology Type benchmarking
9.4.1.4. Strategic initiatives
9.4.2. CardiAI
9.4.2.1. Company overview
9.4.2.2. Financial performance
9.4.2.3. Technology Type benchmarking
9.4.2.4. Strategic initiatives
9.4.3. Ultromics Limited
9.4.3.1. Company overview
9.4.3.2. Financial performance
9.4.3.3. Technology Type benchmarking
9.4.3.4. Strategic initiatives
9.4.4. Arterys Inc. (Tempus)
9.4.4.1. Company overview
9.4.4.2. Financial performance
9.4.4.3. Technology Type benchmarking
9.4.4.4. Strategic initiatives
9.4.5. Cardiologs (Koninklijke Philips N.V.)
9.4.5.1. Company overview
9.4.5.2. Financial performance
9.4.5.3. Technology Type benchmarking
9.4.5.4. Strategic initiatives
9.4.6. Ultrasight
9.4.6.1. Company overview
9.4.6.2. Financial performance
9.4.6.3. Technology Type benchmarking
9.4.6.4. Strategic initiatives
9.4.7. DiA Imaging Analysis (Koninklijke Philips N.V.)
9.4.7.1. Company overview
9.4.7.2. Financial performance
9.4.7.3. Technology Type benchmarking
9.4.7.4. Strategic initiatives
9.4.8. Vista AI
9.4.8.1. Company overview
9.4.8.2. Financial performance
9.4.8.3. Technology Type benchmarking
9.4.8.4. Strategic initiatives
9.4.9. Viz ai
9.4.9.1. Company overview
9.4.9.2. Financial performance
9.4.9.3. Technology Type benchmarking
9.4.9.4. Strategic initiatives
9.4.10. RSIP Vision
9.4.10.1. Company overview
9.4.10.2. Financial performance
9.4.10.3. Technology Type benchmarking
9.4.10.4. Strategic initiatives
9.4.11. Cleerly, Inc.
9.4.11.1. Company overview
9.4.11.2. Financial performance
9.4.11.3. Technology Type benchmarking
9.4.11.4. Strategic initiatives
1.1 Market Segmentation and Scope
1.1.1 Segment Definition
1.1.1.1 Component type segment
1.1.1.2 Application segment
1.1.1.3 Medical condition segment
1.2 Regional Scope
1.2.1 Estimates And Forecast Timeline
1.3 Objectives
1.3.1 Objective -
1.3.2 Objective -
1.3.3 Objective -
1.4 Research Methodology
1.5 Information Procurement
1.6 Market-specific Research Models
1.6.1 Consensus-based estimates & forecasting
1.6.2 Model 1: Commodity Flow Analysis
1.6.2.1 List of some notable companies considered for commodity flow analysis
1.6.3 Model 2: Parent Market Analysis
1.6.4 Model 3: Country-Level Multivariate Analysis Assumptions
1.6.5 Model 4: Segment-Level Multivariate Analysis Assumptions
1.6.5.1 Global Segment-Level Multivariate Analysis: Component Type
1.6.5.2 Global Segment-Level Multivariate Analysis: Medical Condition Type
1.6.6 Ai In Cardiology Market Cagr Calculation
1.6.7 Other Variables Considered In The Market Analysis
1.6.7.1 Variable/Metrics 1 - Internet Penetration (% Of The Population)
1.6.7.2 Variable/Metrics 2 - AI Adoption Index
1.7 List of Secondary Sources
CHAPTER 2 EXECUTIVE SUMMARY
2.1 AI in Cardiology Market Snapshot
2.2 AI in Cardiology Market Segment Snapshot (Part 1)
2.3 AI in Cardiology Market Segment Snapshot (Part 2)
2.4 AI in Cardiology Market Competitive Landscape Snapshot
CHAPTER 3 AI IN CARDIOLOGY MARKET VARIABLES, TRENDS, & SCOPE
3.1 Market Lineage Outlook
3.1.1 Parent Market Outlook
3.2 Ai In Cardiology Market Dynamics
3.2.1 Market Driver Analysis
3.2.1.1 Growing Burden Of Cardiovascular Diseases And The Need For Efficient Healthcare Solutions
3.2.1.2 Increasing Strategic Initiatives In Ai Technologies
3.2.1.3 Technological Advancements In Ai Algorithms And Imaging Techniques
3.2.2 Market Restraint Analysis
3.2.2.1 Regulatory Challenges And Ethical Considerations
3.2.2.2 High Implementation And Procurement Costs
3.2.2.3 Lack Of Skilled Labor Having Knowledge Related To Technology
3.3 Ai In Cardiology Market Analysis Tools: Porters
3.4 SWOT Analysis by Factors (Political & Legal, Economic, Social, and Technology)
3.5 COVID-19 Impact
CHAPTER 4 AI IN CARDIOLOGY MARKET: COMPONENT ESTIMATES & TREND ANALYSIS
4.1 Segment Dashboard
4.2 Artificial Intelligence in Cardiology Market: Component Analysis, 2023 & 2030 (USD Million)
4.3 Artificial Intelligence in Cardiology Market, by Component, 2018 - 2030 (USD Million)
4.4 Software
4.4.1 Software Market Estimates And Forecasts, 2018 - 2030 (USD Million)
4.5 Hardware
4.5.1 Hardware Market Estimates And Forecasts, 2018 - 2030 (USD Million)
4.6 Services
4.6.1 Services Market Estimates And Forecasts, 2018 - 2030 (USD Million)
CHAPTER 5 ARTIFICIAL INTELLIGENCE IN CARDIOLOGY MARKET: APPLICATION ESTIMATES & TREND ANALYSIS
5.1 Segment Dashboard
5.2 Artificial Intelligence In Cardiology Market: Application Analysis, 2023 & 2030 (USD Million)
5.3 Artificial Intelligence In Cardiology Market, By Application, 2018 - 2030 (USD Million)
5.4 Diagnosis
5.4.1 Diagnosis Market Estimates And Forecasts, 2018 - 2030 (USD Million)
5.5 Prediction
5.5.1 Prediction Market Estimates And Forecasts, 2018 - 2030 (USD Million)
5.6 Drug Discovery
5.6.1 Drug Discovery Market Estimates And Forecasts, 2018 - 2030 (USD Million)
5.7 Others
5.7.1 Others Market Estimates And Forecasts, 2018 - 2030 (USD Million)
CHAPTER 6 ARTIFICIAL INTELLIGENCE IN CARDIOLOGY MARKET: MEDICAL CONDITION ESTIMATES & TREND ANALYSIS
6.1 Segment Dashboard
6.2 Artificial Intelligence In Cardiology Market: Medical Condition Analysis, 2023 & 2030 (USD Million)
6.3 Artificial Intelligence In Cardiology Market, By Medical Condition, 2018 - 2030 (USD Million)
6.4 Cardiac Arrhythmias
6.4.1 Cardiac Arrhythmias Market Estimates And Forecasts, 2018 - 2030 (USD Million)
6.5 Heart Failure
6.5.1 Heart Failure Market Estimates And Forecasts, 2018 - 2030 (USD Million)
6.6 Ischemic Heart Disease/Cad
6.6.1 Ischemic Heart Disease/Cad Market Estimates And Forecasts, 2018 - 2030 (USD Million)
6.7 Others
6.7.1 Others Market Estimates And Forecasts, 2018 - 2030 (USD Million)
CHAPTER 7 AI IN CARDIOLOGY MARKET: REGIONAL ESTIMATES & TREND ANALYSIS
7.1 AI in Cardiology Market Share, by Region, 2023 & 2030, USD Million
7.2 North America
7.2.1 Regulatory Framework
7.2.2 North America Artificial Intelligence In Cardiology Market Estimates And Forecasts, 2018 - 2030 (USD Million)
7.2.3 U.S.
7.2.3.1 U.S. Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.2.4 CANADA
7.2.4.1 Canada Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.3 Europe
7.3.1 Regulatory Framework
7.3.2 Europe Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.3.3 UK
7.3.3.1 UK Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.3.4 Germany
7.3.4.1 Germany Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.3.5 France
7.3.5.1 France Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.3.6 Italy
7.3.6.1 Italy Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.3.7 Spain
7.3.7.1 SPAIN Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.3.8 Sweden
7.3.8.1 Sweden Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.3.9 Denmark
7.3.9.1 Denmark Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.3.10 Norway
7.3.10.1 Norway Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.4 Asia Pacific
7.4.1 Regulatory Framework
7.4.2 Asia Pacific Artificial Intelligence In cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.4.3 Japan
7.4.3.1 Japan Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.4.4 China
7.4.4.1 China Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.4.5 India
7.4.5.1 India Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.4.6 Australia
7.4.6.1 Australia Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.4.7 Thailand
7.4.7.1 Thailand Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.4.8 South Korea
7.4.8.1 South Korea Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.5 Latin America
7.5.1 Regulatory Framework
7.5.2 Latin America Artificial Intelligence In cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.5.3 Brazil
7.5.3.1 Brazil Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.5.4 Argentina
7.5.4.1 Argentina Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.5.5 Mexico
7.5.5.1 Mexico Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.6 Middle East & Africa
7.6.1 Regulatory Framework
7.6.2 MEA Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.6.3 SOUTH AFRICA
7.6.3.1 South Africa Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.6.4 SAUDI ARABIA
7.6.4.1 Saudi Arabia Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.6.5 UAE
7.6.5.1 UAE Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
7.6.6 KUWAIT
7.6.6.1 Kuwait Artificial Intelligence in cardiology market estimates and forecasts, 2018 - 2030 (USD Million)
CHAPTER 8 AI IN CARDIOLOGY MARKET: COMPETITIVE ANALYSIS
8.1 Recent Developments & Impact Analysis, by Key Market Participants
8.2 Company Categorization
8.3 Company Market Position Analysis
CHAPTER 9 AI IN CARDIOLOGY MARKET: COMPETITIVE LANDSCAPE
9.1. Recent Developments & Impact Analysis, By Key Market Participants
9.2. Company/Competition Categorization
9.3. Key company market share/position analysis, 2023
9.4. Company Profiles
9.4.1. IDOVEN
9.4.1.1. Company overview
9.4.1.2. Financial performance
9.4.1.3. Technology Type benchmarking
9.4.1.4. Strategic initiatives
9.4.2. CardiAI
9.4.2.1. Company overview
9.4.2.2. Financial performance
9.4.2.3. Technology Type benchmarking
9.4.2.4. Strategic initiatives
9.4.3. Ultromics Limited
9.4.3.1. Company overview
9.4.3.2. Financial performance
9.4.3.3. Technology Type benchmarking
9.4.3.4. Strategic initiatives
9.4.4. Arterys Inc. (Tempus)
9.4.4.1. Company overview
9.4.4.2. Financial performance
9.4.4.3. Technology Type benchmarking
9.4.4.4. Strategic initiatives
9.4.5. Cardiologs (Koninklijke Philips N.V.)
9.4.5.1. Company overview
9.4.5.2. Financial performance
9.4.5.3. Technology Type benchmarking
9.4.5.4. Strategic initiatives
9.4.6. Ultrasight
9.4.6.1. Company overview
9.4.6.2. Financial performance
9.4.6.3. Technology Type benchmarking
9.4.6.4. Strategic initiatives
9.4.7. DiA Imaging Analysis (Koninklijke Philips N.V.)
9.4.7.1. Company overview
9.4.7.2. Financial performance
9.4.7.3. Technology Type benchmarking
9.4.7.4. Strategic initiatives
9.4.8. Vista AI
9.4.8.1. Company overview
9.4.8.2. Financial performance
9.4.8.3. Technology Type benchmarking
9.4.8.4. Strategic initiatives
9.4.9. Viz ai
9.4.9.1. Company overview
9.4.9.2. Financial performance
9.4.9.3. Technology Type benchmarking
9.4.9.4. Strategic initiatives
9.4.10. RSIP Vision
9.4.10.1. Company overview
9.4.10.2. Financial performance
9.4.10.3. Technology Type benchmarking
9.4.10.4. Strategic initiatives
9.4.11. Cleerly, Inc.
9.4.11.1. Company overview
9.4.11.2. Financial performance
9.4.11.3. Technology Type benchmarking
9.4.11.4. Strategic initiatives
