到 2030 年心臟病学人工智慧市场预测：按组件、用途、最终用户和地区进行的全球分析

据Stratistics MRC称，2023年全球心臟病学人工智慧市场规模为7.4408亿美元，预计到2030年将达到7.4661亿美元，预测期内年复合成长率为36.1%，预计还会增长。

心臟病学中的人工智慧（AI）是指应用机器学习演算法和计算模型来分析心臟相关的医疗资料。这项技术显示出改变心臟病诊断、监测和治疗方式的巨大潜力。人工智慧演算法可以帮助解释超音波心动图并进行自动检测并识别异常情况。人工智慧模型可以根据年龄、病历和生活方式等要素评估患者心血管疾病的风险。人工智慧驱动的系统可以透过穿戴式装置持续监测心臟病患者，并就任何令人担忧的变化向医疗保健提供者提供即时警报。

根据美国国家生物技术资讯中心（NCBI）2022年发布的一项最新研究，人工智慧演算法对心律不整进行分类的准确率高达95.4%。此外，AI对此疾病进行分类的特异性为94.52%，阳性预测值为89.74%，阴性预测值为98.55%，敏感度为97.19%。这项研究的研究人员得出的结论是，人工智慧的使用将误报率降低了 98.0%。

心血管疾病增加

全世界心血管疾病的患病正在增加。因此，对人工智慧等辅助诊断和治疗的尖端工具的需求不断增长。人工智慧驱动的诊断技术可以更早发现心律不整，实现及时治疗，并可能阻止疾病的未来发展。心血管疾病患者可能会受益于人工智慧带来的更准确的诊断和治疗策略。由于循环系统疾病发生率的增加，法规对循环系统技术和进步的兴趣增加。这可以创造一个有利于人工智慧解决方案的创建和使用的环境。

复杂的监管核准和认证

获得人工智慧医疗设备和应用程式的法规核准可能是一个漫长而复杂的过程。公司必须向法规证明其人工智慧解决方案的安全性、有效性和临床有效性。人工智慧应用必须遵守医疗实践中的道德准则。此外，确保人工智慧演算法公平且不存在基于种族、性别或其他人口要素的偏见也是一个关键的法规问题。

扩大电子健康记录(EHR) 的采用

透过电子健康记录(EHR) 可以获得各种有组织和非结构化的患者资料，例如病历、诊断测试、治疗计划和处方笺。人工智慧演算法可以利用 EHR 来分析比手动分析更多的患者群体的资料。因此，有可能获得心臟问题更强大、更具统计意义的见解，从而得出更准确的诊断和治疗方法提案。人工智慧还可以帮助减少电子病历资料输入错误并提高病患记录的准确性和完整性。因此，EHR 和人工智慧在循环系统的整合将推动市场成长。

有限的概括

如果人工智慧系统无法有效泛化，它们可能无法识别重要的心臟疾病或标记误报/阴性，这可能导致错误的医疗决策。它可能会给患者带来不良后果，并产生法律和道德影响。如果医疗保健专业人员始终提供不准确或不可靠的结果，他们可能会失去对人工智慧系统的信任。这可能会阻碍其在临床实践中的采用和接受。

COVID-19 的影响

COVID-19大流行对人工智慧在医疗保健和心臟病学领域的采用产生了直接和间接的影响。锁门和社交距离措施导致对远端医疗和远端监控解决方案的需求激增。包括循环系统在内的人工智慧工具在促进虚拟咨询和远端监测患者心臟状况方面发挥了关键作用。 AI 演算法很快就被部署来帮助诊断和分类 COVID-19 病例。尽量减少面对面互动的需求导致人们更加关注远端影像，而人工智慧在解释影像和协助诊断心臟病方面发挥关键作用。

预计软体领域在预测期内将是最大的产业

由于对人工智慧驱动的诊断解决方案的需求不断增加，软体领域预计将出现良好的成长。透过资料分析，基于人工智慧的软体可以改善医疗决策。心电图在人工智慧演算法的辅助下，可以减少患者诊断时间并识别异常情况。此外，该软体还提高了工作效率并提供更好的心臟分析。这些要素正在推动心臟病学领域对人工智慧软体的需求。

心律不整领域预计在预测期内年复合成长率最高

心律不整领域预计在预测期内年复合成长率最高。 AI演算法可以分析心电图（ECG）来识别和分类不同类型的心律不整，包括心房颤动、心室心搏过速和心搏过缓。人工智慧演算法可以处理动态心电图监测仪收集的长期心电图资料。可以识别并记录心律不整发作，以供医疗保健提供者稍后查看。此外，个体化治疗计划、远端医疗和心电图解读协助正在推动这一领域的成长。

比最大的地区

由于医疗基础设施完善、技术先进产品的快速采用以及人工智慧产品法规的核准增加，预计北美将在预测期内占据最大的市场占有率。北美，特别美国，是创新和发展的中心。该地区还吸引了大量医疗保健技术投资，包括人工智慧应用。此外，对远端医疗的日益重视以及对以患者为中心的护理日益浓厚的兴趣也推动了市场需求。

复合年复合成长率最高的地区：

由于老年人口的增加、医疗基础设施的发展和经济状况的改善，预计亚太地区在预测期内将出现最高的年复合成长率。此外，该地区心血管疾病的患病很高。中国的CVD病例数位居第一。因此，该地区的高疾病负担和不发达的医疗基础设施有望提高人工智慧在心臟诊断和治疗中的应用。

提供免费客製化：

订阅此报告的客户可以存取以下免费自订选项之一：

• 公司简介
  • 其他市场参与者的综合分析（最多 3 家公司）
  • 主要企业SWOT分析（最多3家企业）
• 区域分割
  • 根据客户兴趣对主要国家的市场估计、预测和年复合成长率（註：基于可行性检查）
• 竞争基准化分析
  • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第1章执行摘要

第2章前言

• 概述
• 利害关係人
• 调查范围
• 调查方法
  • 资料探勘
  • 资料分析
  • 资料检验
  • 研究途径
• 调查来源
  • 主要调查来源
  • 二次调查来源
  • 先决条件

第3章市场趋势分析

• 促进因素
• 抑制因素
• 机会
• 威胁
• 应用分析
• 最终用户分析
• 新兴市场
• 新型冠状病毒感染疾病（COVID-19）的影响

第4章波特五力分析

• 供应商的议价能力
• 买方议价能力
• 替代的威胁
• 新进入者的威胁
• 竞争公司之间的敌对关係

第5章全球人工智慧在心臟病学市场的应用：按组成部分

• 软体
• 硬体
• 服务

第6章全球人工智慧在心臟病学市场的应用：按应用分类

• 中风
• 心律不整
• 缺血性心臟疾病
• 其他用途

第7章全球人工智慧在循环系统市场的应用：依最终用户分类

• 医疗保健付款人
• 生命科学公司
• 医疗服务提供方

第8章全球心臟病学市场人工智慧：按地区

• 北美洲
  • 美国
  • 加拿大
  • 墨西哥
• 欧洲
  • 德国
  • 英国
  • 义大利
  • 法国
  • 西班牙
  • 其他欧洲国家
• 亚太地区
  • 日本
  • 中国
  • 印度
  • 澳洲
  • 纽西兰
  • 韩国
  • 其他亚太地区
• 南美洲
  • 阿根廷
  • 巴西
  • 智利
  • 南美洲其他地区
• 中东和非洲
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 卡达
  • 南非
  • 其他中东和非洲

第9章进展

• 合约、伙伴关係、协作和合资企业
• 收购和合併
• 新产品发布
• 业务扩展
• 其他关键策略

第10章公司简介

• Arterys Inc.
• IDOVEN
• Cardiologs
• Ultrasight
• Ultromics Limited
• DiA Imaging Analysis
• CardiAI
• Viz AI
• Cleerly, Inc
• RSIP Vision
• Vista AI
• HeartVista Inc
• Caption Health
• HeartFlow
• Bay Labs
• Siemens Healthineers
• NuvoAir
• PathAI

According to Stratistics MRC, the Global Artificial Intelligence in Cardiology Market is accounted for $744.08 million in 2023 and is expected to reach $746.61 million by 2030 growing at a CAGR of 36.1% during the forecast period. Artificial Intelligence (AI) in cardiology refers to the application of machine learning algorithms and computational models to analyze medical data related to the heart. This technology has shown tremendous promise in transforming the way cardiac conditions are diagnosed, monitored, and treated. AI algorithms can assist in the interpretation of echocardiograms, providing automated measurements and identifying abnormalities. AI models can assess a patient's risk of developing cardiovascular diseases based on factors like age, medical history, and lifestyle. AI-powered systems can continuously monitor patients with heart conditions through wearable devices, providing real-time alerts to healthcare providers for any concerning changes.

According to a recent study published by the National Center for Biotechnology Information (NCBI) in 2022, an AI algorithm classified arrhythmia with 95.4% accuracy. Furthermore, AI classified the disease with a specificity of 94.52%, positive predictive value of 89.74%, negative predictive value of 98.55%, and 97.19% sensitivity. The researchers of the study concluded that AI's use would reduce the overall false-positive results by 98.0%.

Market Dynamics:

Driver:

Rising cardiovascular disease rates

The prevalence of cardiovascular ailments is rising on a global scale. As a result, there is an increasing demand for cutting-edge tools like AI to aid in diagnosis and treatment. AI-powered diagnostic technologies can spot cardiac irregularities sooner, enabling prompt treatment and perhaps halting the disease's future progression. Cardiovascular disease patients may benefit from more precise diagnosis and treatment strategies made possible by AI. Increased regulatory attention to cardiology-related technologies and advances may result from the growing frequency of cardiovascular disorders. This may foster an environment that encourages the creation and use of AI solutions.

Restraint:

Complex regulatory approval and certification

Obtaining regulatory approval for AI-based medical devices or applications can be a lengthy and complex process. Companies must demonstrate the safety, efficacy, and clinical validity of their AI solutions to regulatory bodies. AI applications must adhere to ethical guidelines in medical practice. Further, ensuring that AI algorithms are fair and do not introduce biases based on race, gender, or other demographic factors acts as a significant regulatory concern.

Opportunity:

Increasing adoption of Electronic Health Records (EHRs)

A variety of organised and unstructured patient data, including as medical histories, diagnostic tests, treatment plans, prescriptions, and more, is available through electronic health records (EHRs). AI algorithms can analyse data from a far wider patient population using EHRs than they could manually. This makes it possible to get stronger and statistically significant insights into heart problems, which may result in more precise diagnosis and therapy suggestions. AI may also aid in reducing data input mistakes in EHRs and enhancing the precision and thoroughness of patient records. Therefore, the integration of AI with EHRs in cardiology fuels the growth of the market.

Threat:

Limited generalization

If the AI system is not able to generalize effectively, it may fail to identify important cardiac conditions or may flag false positives/negatives, potentially leading to incorrect medical decisions. It leads to adverse patient outcomes and there could be legal and ethical implications. Healthcare professionals may lose confidence in the AI system if it consistently provides inaccurate or unreliable results. This can hinder its adoption and acceptance in clinical practice.

COVID-19 Impact

The COVID-19 pandemic has had both direct and indirect impacts on healthcare and the adoption of AI in cardiology. Due to lockdowns and social distancing measures, there was a surge in demand for telemedicine and remote monitoring solutions. AI-powered tools, including those in cardiology, played a significant role in facilitating virtual consultations and remote monitoring of patients' cardiac conditions. AI algorithms were swiftly deployed to assist in the diagnosis and triage of COVID-19 cases. The need for minimizing in-person interactions led to an increased focus on remote diagnostic imaging, where AI can play a crucial role in interpreting images and aiding in the diagnosis of cardiac conditions.

The software segment is expected to be the largest during the forecast period

The software segment is estimated to have a lucrative growth, due to the growing need for AI-enabled diagnostic solutions. Through data analysis, AI-based software improves medical decision-making. The ECG, aided by AI algorithms, has shortened the time it takes to diagnose patients and is capable of identifying anomalies. Moreover, this software increases productivity and provides better heart analysis. These factors are improving the demand for AI software in cardiology.

The cardiac arrhythmias segment is expected to have the highest CAGR during the forecast period

The cardiac arrhythmias segment is anticipated to witness the highest CAGR growth during the forecast period. AI algorithms can analyze electrocardiograms (ECGs) to identify and classify various types of arrhythmias, including atrial fibrillation, ventricular tachycardia, and bradycardia. AI algorithms can process long-term ECG data collected by Holter monitors. They can identify and record episodes of arrhythmias for later review by healthcare providers. In addition, personalized treatment planning, telemedicine and ECG interpretation assistance are boosting the segment growth.

Region with largest share:

North America is projected to hold the largest market share during the forecast period owing to its well-established healthcare infrastructure, rapid adoption of technologically advanced products, and increased regulatory approvals of AI products. North America, particularly the United States, is a hub for technological innovation and development. Also, the region attracts significant investment in healthcare technology, including AI applications. Moreover, the growing emphasis on telemedicine and growing focus on patient-centric care is propelling the market demand.

Region with highest CAGR:

Asia Pacific is projected to have the highest CAGR over the forecast period, owing to the growing geriatric population, developing healthcare infrastructure, and improvement in the region's economic conditions. Moreover, there is a high prevalence of cardiovascular diseases in the region. China is positioned in top for CVD patient's records. Therefore, the region's high disease burden and developing healthcare infrastructure are expected to improve the adoption of AI in cardiac diagnosis and treatment.

Key players in the market:

Some of the key players profiled in the Artificial Intelligence In Cardiology Market include: Arterys Inc., IDOVEN, Cardiologs, Ultrasight, Ultromics Limited, DiA Imaging Analysis, CardiAI, Viz AI, Cleerly, Inc, RSIP Vision, Vista AI, HeartVista Inc, Caption Health, HeartFlow, Bay Labs, Siemens Healthineers, NuvoAir and PathAI.

Key Developments:

In August 2023, Siemens Healthineers unveils the Acuson Origin1, a dedicated cardiovascular ultrasound system with new, robust artificial intelligence (AI) features. Designed to improve patient outcomes and help physicians perform minimally invasive cardiac procedures more efficiently, the Acuson Origin addresses the entire continuum of cardiovascular patient care, including diagnostic, structural heart, electrophysiological, and pediatric procedures.

In February 2023, DiA Imaging Analysis received U.S. FDA clearance for its LVivo IQS software solution, which is used to provide high-quality echocardiography images of the heart to physicians.

In April 2022, Arterys has launched Strain + AI a new cardio AI feature. Strain + AI has beautiful, easy to interpret color and vector overlays, 17-segment models, and plot curves and automatically provides strain and strain rate decomposed into radial and circumferential components as well as myocardial velocity.

Components Covered:

• Software
• Hardware
• Services

Applications Covered:

• Stroke
• Cardiac Arrhythmias
• Ischemic Heart Disease
• Other Applications

End Users Covered:

• Healthcare Payers
• Life Science Companies
• Healthcare Providers

Regions Covered:

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • Italy
  • France
  • Spain
  • Rest of Europe
• Asia Pacific
  • Japan
  • China
  • India
  • Australia
  • New Zealand
  • South Korea
  • Rest of Asia Pacific
• South America
  • Argentina
  • Brazil
  • Chile
  • Rest of South America
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Qatar
  • South Africa
  • Rest of Middle East & Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

• 2.1 Abstract
• 2.2 Stake Holders
• 2.3 Research Scope
• 2.4 Research Methodology
  • 2.4.1 Data Mining
  • 2.4.2 Data Analysis
  • 2.4.3 Data Validation
  • 2.4.4 Research Approach
• 2.5 Research Sources
  • 2.5.1 Primary Research Sources
  • 2.5.2 Secondary Research Sources
  • 2.5.3 Assumptions

3 Market Trend Analysis

• 3.1 Introduction
• 3.2 Drivers
• 3.3 Restraints
• 3.4 Opportunities
• 3.5 Threats
• 3.6 Application Analysis
• 3.7 End User Analysis
• 3.8 Emerging Markets
• 3.9 Impact of Covid-19

4 Porters Five Force Analysis

• 4.1 Bargaining power of suppliers
• 4.2 Bargaining power of buyers
• 4.3 Threat of substitutes
• 4.4 Threat of new entrants
• 4.5 Competitive rivalry

5 Global Artificial Intelligence In Cardiology Market, By Component

• 5.1 Introduction
• 5.2 Software
• 5.3 Hardware
• 5.4 Services

6 Global Artificial Intelligence In Cardiology Market, By Application

• 6.1 Introduction
• 6.2 Stroke
• 6.3 Cardiac Arrhythmias
• 6.4 Ischemic Heart Disease
• 6.5 Other Applications

7 Global Artificial Intelligence In Cardiology Market, By End User

• 7.1 Introduction
• 7.2 Healthcare Payers
• 7.3 Life Science Companies
• 7.4 Healthcare Providers

8 Global Artificial Intelligence In Cardiology Market, By Geography

• 8.1 Introduction
• 8.2 North America
  • 8.2.1 US
  • 8.2.2 Canada
  • 8.2.3 Mexico
• 8.3 Europe
  • 8.3.1 Germany
  • 8.3.2 UK
  • 8.3.3 Italy
  • 8.3.4 France
  • 8.3.5 Spain
  • 8.3.6 Rest of Europe
• 8.4 Asia Pacific
  • 8.4.1 Japan
  • 8.4.2 China
  • 8.4.3 India
  • 8.4.4 Australia
  • 8.4.5 New Zealand
  • 8.4.6 South Korea
  • 8.4.7 Rest of Asia Pacific
• 8.5 South America
  • 8.5.1 Argentina
  • 8.5.2 Brazil
  • 8.5.3 Chile
  • 8.5.4 Rest of South America
• 8.6 Middle East & Africa
  • 8.6.1 Saudi Arabia
  • 8.6.2 UAE
  • 8.6.3 Qatar
  • 8.6.4 South Africa
  • 8.6.5 Rest of Middle East & Africa

9 Key Developments

• 9.1 Agreements, Partnerships, Collaborations and Joint Ventures
• 9.2 Acquisitions & Mergers
• 9.3 New Product Launch
• 9.4 Expansions
• 9.5 Other Key Strategies

10 Company Profiling

• 10.1 Arterys Inc.
• 10.2 IDOVEN
• 10.3 Cardiologs
• 10.4 Ultrasight
• 10.5 Ultromics Limited
• 10.6 DiA Imaging Analysis
• 10.7 CardiAI
• 10.8 Viz AI
• 10.9 Cleerly, Inc
• 10.10 RSIP Vision
• 10.11 Vista AI
• 10.12 HeartVista Inc
• 10.13 Caption Health
• 10.14 HeartFlow
• 10.15 Bay Labs
• 10.16 Siemens Healthineers
• 10.17 NuvoAir
• 10.18 PathAI

List of Tables

• Table 1 Global Artificial Intelligence In Cardiology Market Outlook, By Region (2021-2030) ($MN)
• Table 2 Global Artificial Intelligence In Cardiology Market Outlook, By Component (2021-2030) ($MN)
• Table 3 Global Artificial Intelligence In Cardiology Market Outlook, By Software (2021-2030) ($MN)
• Table 4 Global Artificial Intelligence In Cardiology Market Outlook, By Hardware (2021-2030) ($MN)
• Table 5 Global Artificial Intelligence In Cardiology Market Outlook, By Services (2021-2030) ($MN)
• Table 6 Global Artificial Intelligence In Cardiology Market Outlook, By Application (2021-2030) ($MN)
• Table 7 Global Artificial Intelligence In Cardiology Market Outlook, By Stroke (2021-2030) ($MN)
• Table 8 Global Artificial Intelligence In Cardiology Market Outlook, By Cardiac Arrhythmias (2021-2030) ($MN)
• Table 9 Global Artificial Intelligence In Cardiology Market Outlook, By Ischemic Heart Disease (2021-2030) ($MN)
• Table 10 Global Artificial Intelligence In Cardiology Market Outlook, By Other Applications (2021-2030) ($MN)
• Table 11 Global Artificial Intelligence In Cardiology Market Outlook, By End User (2021-2030) ($MN)
• Table 12 Global Artificial Intelligence In Cardiology Market Outlook, By Healthcare Payers (2021-2030) ($MN)
• Table 13 Global Artificial Intelligence In Cardiology Market Outlook, By Life Science Companies (2021-2030) ($MN)
• Table 14 Global Artificial Intelligence In Cardiology Market Outlook, By Healthcare Providers (2021-2030) ($MN)
• Table 15 North America Artificial Intelligence In Cardiology Market Outlook, By Country (2021-2030) ($MN)
• Table 16 North America Artificial Intelligence In Cardiology Market Outlook, By Component (2021-2030) ($MN)
• Table 17 North America Artificial Intelligence In Cardiology Market Outlook, By Software (2021-2030) ($MN)
• Table 18 North America Artificial Intelligence In Cardiology Market Outlook, By Hardware (2021-2030) ($MN)
• Table 19 North America Artificial Intelligence In Cardiology Market Outlook, By Services (2021-2030) ($MN)
• Table 20 North America Artificial Intelligence In Cardiology Market Outlook, By Application (2021-2030) ($MN)
• Table 21 North America Artificial Intelligence In Cardiology Market Outlook, By Stroke (2021-2030) ($MN)
• Table 22 North America Artificial Intelligence In Cardiology Market Outlook, By Cardiac Arrhythmias (2021-2030) ($MN)
• Table 23 North America Artificial Intelligence In Cardiology Market Outlook, By Ischemic Heart Disease (2021-2030) ($MN)
• Table 24 North America Artificial Intelligence In Cardiology Market Outlook, By Other Applications (2021-2030) ($MN)
• Table 25 North America Artificial Intelligence In Cardiology Market Outlook, By End User (2021-2030) ($MN)
• Table 26 North America Artificial Intelligence In Cardiology Market Outlook, By Healthcare Payers (2021-2030) ($MN)
• Table 27 North America Artificial Intelligence In Cardiology Market Outlook, By Life Science Companies (2021-2030) ($MN)
• Table 28 North America Artificial Intelligence In Cardiology Market Outlook, By Healthcare Providers (2021-2030) ($MN)
• Table 29 Europe Artificial Intelligence In Cardiology Market Outlook, By Country (2021-2030) ($MN)
• Table 30 Europe Artificial Intelligence In Cardiology Market Outlook, By Component (2021-2030) ($MN)
• Table 31 Europe Artificial Intelligence In Cardiology Market Outlook, By Software (2021-2030) ($MN)
• Table 32 Europe Artificial Intelligence In Cardiology Market Outlook, By Hardware (2021-2030) ($MN)
• Table 33 Europe Artificial Intelligence In Cardiology Market Outlook, By Services (2021-2030) ($MN)
• Table 34 Europe Artificial Intelligence In Cardiology Market Outlook, By Application (2021-2030) ($MN)
• Table 35 Europe Artificial Intelligence In Cardiology Market Outlook, By Stroke (2021-2030) ($MN)
• Table 36 Europe Artificial Intelligence In Cardiology Market Outlook, By Cardiac Arrhythmias (2021-2030) ($MN)
• Table 37 Europe Artificial Intelligence In Cardiology Market Outlook, By Ischemic Heart Disease (2021-2030) ($MN)
• Table 38 Europe Artificial Intelligence In Cardiology Market Outlook, By Other Applications (2021-2030) ($MN)
• Table 39 Europe Artificial Intelligence In Cardiology Market Outlook, By End User (2021-2030) ($MN)
• Table 40 Europe Artificial Intelligence In Cardiology Market Outlook, By Healthcare Payers (2021-2030) ($MN)
• Table 41 Europe Artificial Intelligence In Cardiology Market Outlook, By Life Science Companies (2021-2030) ($MN)
• Table 42 Europe Artificial Intelligence In Cardiology Market Outlook, By Healthcare Providers (2021-2030) ($MN)
• Table 43 Asia Pacific Artificial Intelligence In Cardiology Market Outlook, By Country (2021-2030) ($MN)
• Table 44 Asia Pacific Artificial Intelligence In Cardiology Market Outlook, By Component (2021-2030) ($MN)
• Table 45 Asia Pacific Artificial Intelligence In Cardiology Market Outlook, By Software (2021-2030) ($MN)
• Table 46 Asia Pacific Artificial Intelligence In Cardiology Market Outlook, By Hardware (2021-2030) ($MN)
• Table 47 Asia Pacific Artificial Intelligence In Cardiology Market Outlook, By Services (2021-2030) ($MN)
• Table 48 Asia Pacific Artificial Intelligence In Cardiology Market Outlook, By Application (2021-2030) ($MN)
• Table 49 Asia Pacific Artificial Intelligence In Cardiology Market Outlook, By Stroke (2021-2030) ($MN)
• Table 50 Asia Pacific Artificial Intelligence In Cardiology Market Outlook, By Cardiac Arrhythmias (2021-2030) ($MN)
• Table 51 Asia Pacific Artificial Intelligence In Cardiology Market Outlook, By Ischemic Heart Disease (2021-2030) ($MN)
• Table 52 Asia Pacific Artificial Intelligence In Cardiology Market Outlook, By Other Applications (2021-2030) ($MN)
• Table 53 Asia Pacific Artificial Intelligence In Cardiology Market Outlook, By End User (2021-2030) ($MN)
• Table 54 Asia Pacific Artificial Intelligence In Cardiology Market Outlook, By Healthcare Payers (2021-2030) ($MN)
• Table 55 Asia Pacific Artificial Intelligence In Cardiology Market Outlook, By Life Science Companies (2021-2030) ($MN)
• Table 56 Asia Pacific Artificial Intelligence In Cardiology Market Outlook, By Healthcare Providers (2021-2030) ($MN)
• Table 57 South America Artificial Intelligence In Cardiology Market Outlook, By Country (2021-2030) ($MN)
• Table 58 South America Artificial Intelligence In Cardiology Market Outlook, By Component (2021-2030) ($MN)
• Table 59 South America Artificial Intelligence In Cardiology Market Outlook, By Software (2021-2030) ($MN)
• Table 60 South America Artificial Intelligence In Cardiology Market Outlook, By Hardware (2021-2030) ($MN)
• Table 61 South America Artificial Intelligence In Cardiology Market Outlook, By Services (2021-2030) ($MN)
• Table 62 South America Artificial Intelligence In Cardiology Market Outlook, By Application (2021-2030) ($MN)
• Table 63 South America Artificial Intelligence In Cardiology Market Outlook, By Stroke (2021-2030) ($MN)
• Table 64 South America Artificial Intelligence In Cardiology Market Outlook, By Cardiac Arrhythmias (2021-2030) ($MN)
• Table 65 South America Artificial Intelligence In Cardiology Market Outlook, By Ischemic Heart Disease (2021-2030) ($MN)
• Table 66 South America Artificial Intelligence In Cardiology Market Outlook, By Other Applications (2021-2030) ($MN)
• Table 67 South America Artificial Intelligence In Cardiology Market Outlook, By End User (2021-2030) ($MN)
• Table 68 South America Artificial Intelligence In Cardiology Market Outlook, By Healthcare Payers (2021-2030) ($MN)
• Table 69 South America Artificial Intelligence In Cardiology Market Outlook, By Life Science Companies (2021-2030) ($MN)
• Table 70 South America Artificial Intelligence In Cardiology Market Outlook, By Healthcare Providers (2021-2030) ($MN)
• Table 71 Middle East & Africa Artificial Intelligence In Cardiology Market Outlook, By Country (2021-2030) ($MN)
• Table 72 Middle East & Africa Artificial Intelligence In Cardiology Market Outlook, By Component (2021-2030) ($MN)
• Table 73 Middle East & Africa Artificial Intelligence In Cardiology Market Outlook, By Software (2021-2030) ($MN)
• Table 74 Middle East & Africa Artificial Intelligence In Cardiology Market Outlook, By Hardware (2021-2030) ($MN)
• Table 75 Middle East & Africa Artificial Intelligence In Cardiology Market Outlook, By Services (2021-2030) ($MN)
• Table 76 Middle East & Africa Artificial Intelligence In Cardiology Market Outlook, By Application (2021-2030) ($MN)
• Table 77 Middle East & Africa Artificial Intelligence In Cardiology Market Outlook, By Stroke (2021-2030) ($MN)
• Table 78 Middle East & Africa Artificial Intelligence In Cardiology Market Outlook, By Cardiac Arrhythmias (2021-2030) ($MN)
• Table 79 Middle East & Africa Artificial Intelligence In Cardiology Market Outlook, By Ischemic Heart Disease (2021-2030) ($MN)
• Table 80 Middle East & Africa Artificial Intelligence In Cardiology Market Outlook, By Other Applications (2021-2030) ($MN)
• Table 81 Middle East & Africa Artificial Intelligence In Cardiology Market Outlook, By End User (2021-2030) ($MN)
• Table 82 Middle East & Africa Artificial Intelligence In Cardiology Market Outlook, By Healthcare Payers (2021-2030) ($MN)
• Table 83 Middle East & Africa Artificial Intelligence In Cardiology Market Outlook, By Life Science Companies (2021-2030) ($MN)
• Table 84 Middle East & Africa Artificial Intelligence In Cardiology Market Outlook, By Healthcare Providers (2021-2030) ($MN)