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시장보고서
상품코드
1588337
심장병학 분야 인공지능 시장 규모, 점유율, 동향 분석 보고서 : 구성요소별, 용도별, 질환별, 지역별, 부문별 예측(2024-2030년)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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심장병학 분야 인공지능 시장 성장과 동향
심장병학 분야 인공지능 세계 시장 규모는 2030년 48억 달러에 달할 것으로 예상되며, 2024-2030년 연평균 24.6%의 성장률을 기록할 것으로 예측됩니다.
심장 질환의 진단 및 치료를 위한 의료 시설의 신기술 채택 증가, 전 세계 심혈관질환의 부담 증가, 심장 영상 진단을 위한 새로운 기술 출시를 위한 시장 경쟁 심화 등이 시장 성장을 뒷받침하는 주요 요인 중 일부입니다.
WHO에 따르면 심혈관질환은 전 세계 주요 사망 원인입니다. 세계심장연맹에 따르면 심혈관질환으로 인한 사망자 수는 향후 몇 년 동안 증가할 것으로 예상됩니다. 심장병의 주요 원인은 스트레스, 좌식 생활습관, 패스트푸드 섭취 증가 등이 있습니다. 앉아서 생활하는 인구가 상당수이기 때문에 질병 부담은 더욱 증가할 것으로 예상됩니다. 이에 따라 심장 이상을 정확하게 감지하는 인공지능(AI) 기술에 대한 수요가 증가해 팬데믹 이후 시장이 활성화될 것으로 예상됩니다.
노화는 심혈관질환의 주요 원인 중 하나입니다. 국립 보건원에 따르면 노화는 관상동맥 질환, 뇌졸중, 심장 마비 및 기타 심혈관질환과 같은 질병의 주요 원인 중 하나이며, WHO에 따르면 2020년에는 60 세 이상의 노인이 10억 명 이상, 2050년에는 21억 명에 달할 것으로 예상됩니다. 노인 인구의 급증은 이러한 질병의 부담을 증가시킬 것으로 예상되며, 향후 몇 년 동안 심장 질환을 더 나은 방식으로 치료하기 위한 첨단 AI 기술에 대한 수요를 뒷받침할 것입니다.
인공지능은 심혈관질환의 진단 정확도를 향상시키고 강화하고 있습니다. 기계 학습 알고리즘의 개발이 점점 더 발전하고 있으며, 심부전, 심장판막증, 관상동맥 질환 등의 진단 및 치료에 널리 사용되고 있습니다. 기계 학습 알고리즘을 이용한 진단 및 예후 예측 능력의 향상은 심혈관질환 환자의 임상 치료를 강화하고 있습니다. 많은 연구에 따르면 인공지능은 80% 이상의 정확도로 심장 이상을 감지하는 것으로 보고되고 있습니다. 위의 모든 요인은 심장학에서 인공지능에 대한 수요를 증가시킬 가능성이 높습니다.
심장병학 분야 인공지능 시장 보고서 하이라이트
- 구성요소별로 보면 소프트웨어 부문은 예측 기간 동안 가장 빠른 CAGR로 성장할 것으로 예상됩니다. 심장학 분야의 인공지능 기반 소프트웨어는 진단 정확도 향상, 환자 모니터링 개선, 맞춤형 치료 실현으로 이 부문에 혁명을 일으키고 있습니다.
- 심장 부정맥 부문은 예측 기간 동안 가장 빠른 CAGR로 성장할 것으로 예상됩니다. 심방세동(AF)은 뇌졸중 및 사망률 증가와 같은 다양한 심혈관 합병증과 관련된 임상적으로 가장 흔한 심장 부정맥 중 하나입니다.
- 북미는 2023년 45.5% 이상의 매출 점유율로 심장학 인공지능 시장을 장악했습니다.
- 아시아태평양의 심장병학 AI 시장은 여러 국가에서 심혈관질환의 유병률이 증가함에 따라 보다 효율적이고 정확한 진단 및 치료 솔루션에 대한 수요가 증가할 것으로 예상됩니다.
목차
제1장 조사 방법과 범위
제2장 주요 요약
제3장 심장병학 분야 인공지능 시장 변수, 동향, 범위
- 시장 계통 전망
- 상부 시장 전망
- 심장병학 분야 인공지능 시장 역학
- 시장 성장 촉진요인 분석
- 시장 성장 억제요인 분석
- 심장병학 분야 인공지능 시장 분석 툴 : 포터
- 요인별 SWOT 분석(정치·법률, 경제, 사회, 기술)
- COVID-19의 영향
제4장 심장병 시장의 인공지능 : 구성요소별, 추정·동향 분석
- 부문 대시보드
- 심장병학 분야 인공지능 시장 : 컴포넌트 분석, 2023년과 2030년
- 심장병학 분야 인공지능 시장, 구성요소별, 2018-2030년
- 소프트웨어
- 하드웨어
- 서비스
제5장 심장병 시장의 인공지능 : 용도별, 추정·동향 분석
- 부문 대시보드
- 심장병학 분야 인공지능 시장 : 용도 분석, 2023년과 2030년
- 심장병학 분야 인공지능 시장, 용도별, 2018-2030년
- 진단
- 예측
- Drug Discovery
- 기타
제6장 심장병 시장의 인공지능 : 병상, 추정·동향 분석
- 부문 대시보드
- 심장병학 분야 인공지능 시장 : 병상 분석, 2023년과 2030년
- 심장병학 분야 인공지능 시장, 병상별, 2018-2030년
- 부정맥
- 심부전
- 허혈성 심질환/CAD
- 기타
제7장 심장병학 분야 인공지능 시장 : 지역별, 추정·동향 분석
- 심장병학 분야 인공지능 시장 점유율, 지역별, 2023년과 2030년, 100만 달러
- 북미
- 규제 프레임워크
- 미국
- 캐나다
- 유럽
- 규제 프레임워크
- 영국
- 독일
- 프랑스
- 이탈리아
- 스페인
- 스웨덴
- 덴마크
- 노르웨이
- 아시아태평양
- 규제 프레임워크
- 일본
- 중국
- 인도
- 호주
- 태국
- 한국
- 라틴아메리카
- 규제 프레임워크
- 브라질
- 아르헨티나
- 멕시코
- 중동 및 아프리카
- 규제 프레임워크
- 남아프리카공화국
- 사우디아라비아
- 아랍에미리트
- 쿠웨이트
제8장 심장병 시장의 인공지능 : 경쟁 분석
- 주요 시장 진출 기업의 최근 동향과 영향 분석
- 기업 분류
- 기업의 시장 포지션 분석
제9장 심장병 시장의 인공지능 : 경쟁 상황
- 주요 시장 진출 기업의 최근 동향과 영향 분석
- 기업/경쟁 분류
- 주요 기업의 시장 점유율/포지션 분석, 2023년
- 기업 개요
Artificial intelligence In Cardiology Market Growth & Trends:
The global artificial intelligence in cardiology market size is expected to reach USD 4.8 billion in 2030 and is projected to grow at a CAGR of 24.6% from 2024 to 2030 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 to launch new technologies for cardiac imaging are some of the major factors supporting the market's growth.
According to the WHO, cardiovascular diseases are a major cause of death worldwide. The World Heart Federation states that cardiovascular deaths are expected to rise in the coming years. i.e., from 18.9 million in 2020 to 32.3 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 to increase the disease burden further. This is expected to improve the demand for artificial intelligence (AI) technology to accurately detect cardiac abnormalities and thus boost the market in the post-pandemic period.
Aging is one of the major causes of cardiovascular diseases. According to the 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 to the WHO, in 2020, over 1 billion people were aged 60 years and above, and by 2050, this number is expected to rise to 2.1 billion. The surge in the geriatric population is expected to increase 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 to boost the demand for AI in cardiology.
Artificial Intelligence In Cardiology Market Report Highlights:
- Based on component, software segment is expected to grow 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 to grow 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 to be driven by the increasing prevalence of cardiovascular diseases in multiple countries, fueling the demand for more efficient and accurate diagnostic & treatment solutions
Table of Contents
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
- 1.1.1 Segment Definition
- 1.2 Regional Scope
- 1.2.1 Estimates And Forecast Timeline
- 1.3 Objectives
- 1.3.1 Objective - 1
- 1.3.2 Objective - 2
- 1.3.3 Objective - 3
- 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
- 3.2.1 Market Driver Analysis
- 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
- 9.4.1. IDOVEN
