AI in Cardiology Market Size & Outlook, 2026-2034

AI in Cardiology Market Size

The AI in cardiology market size was estimated at USD 1.68 billion in 2025 and is projected to reach USD 19.31 billion by 2034, growing at a CAGR of 31.16% during the forecast period (2026-2034). Initially adopted within clinical research and specialized cardiology centers, AI in cardiology technologies is now witnessing wider adoption across hospitals, diagnostic laboratories, remote monitoring platforms, and preventive care settings. With a global shift toward data-driven, non-invasive, and precision-based healthcare solutions, the AI in cardiology market is expected to experience accelerated growth in the coming years.

Key Market Insights

• North America dominated the AI in cardiology market with the largest market share of 47.68% in 2025.
• The Asia Pacific region is expected to be the fastest-growing region in the AI in cardiology market during the forecast period at a CAGR of 33.16%.
• By component, the hardware segment dominated the market with the largest share of 35.23% in 2025.
• By application, the diagnosis segment dominated the market with a revenue share of 43.56% in 2025.
• By medical condition, the ischemic heart disease/CAD segment dominated the market with a revenue share of 37.45% in 2025.
• The US AI in cardiology market size was valued at USD 530.93 million in 2024 and is projected to reach USD 907.86 million in 2026.

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AI in Cardiology Market Trends

Shift from Episodic Cardiac Image Review to Continuous Longitudinal Cardiac Intelligence Enabling Ongoing Risk Assessment and Disease Progression Monitoring

The AI in cardiology market depicts a transition from the episodic image review that focuses on single scans to the continuous longitudinal cardiac intelligence built on cumulative patient data. While current cardiology workflows increasingly aggregate serial imaging, clinical history, and physiological data over time, earlier workflows focused on isolated echocardiography or CT studies interpreted independently. In addition to aligning cardiology practice with long-term risk assessment and outcome monitoring rather than single-point diagnosis, this shift facilitates tracking of disease progression in coronary artery disease, cardiomyopathies, and heart failure.

Shift from Modality Specific AI Algorithms to Unified Multimodal Cardiology Platforms Supporting End-to-End Cardiac Assessment Workflows

Modality-specific AI tools are restricted to cardiac CT or echocardiography. Currently, the market is moving toward more unified platforms to analyze severe cardiac modalities under one setting. These platforms have integrated technologies such as echo, CT, MRI, and ECG data. This is a shift from solutions designed for specific tasks such as ventricular function or plaque quantification. With the adoption of artificial intelligence in multidisciplinary cardiology care models, comprehensive cardiac assessment workflows have become a reality in hospitals and specialty clinics.

AI in Cardiology Market Drivers

Expansion of Regulatory Cleared AI Cardiology Software in Clinical Practice Accelerates Institutional Adoption Across Hospitals and Specialty Cardiology Settings

The increasing number of AI solutions that have received regulatory clearance and are being used in routine clinical settings is a major factor propelling the market for AI in cardiology. Regulatory authorization leads to higher institutional adoption and fosters trust in deployment among hospitals and diagnostic facilities. In October 2025, the US Food and Drug Administration extended clearance for Ultromics' EchoGo cardiac ultrasound analysis. This allows for wider clinical use for automated evaluation of cardiac function. This development is indicative of the ongoing trend of regulatory approvals for cardiology tools powered by artificial intelligence.

Growing Clinical Workload in Cardiology Departments Driving Adoption of Automated Cardiac Image Analysis and Decision Support Tools

Rising volumes of cardiac imaging studies across echocardiography, cardiac CT, and cardiac MRI are increasing interpretation pressure on cardiology departments and diagnostic centers. As cardiovascular disease prevalence rises and screening protocols expand, clinicians are required to review larger datasets within constrained reporting timelines. Artificial intelligence-based cardiology solutions support automation of repetitive measurement tasks, prioritization of abnormal findings, and structured reporting workflows, allowing cardiologists to focus on complex clinical interpretation and patient management. This driver aligns with existing market trends toward unified multimodal platforms and longitudinal cardiac intelligence, while reinforcing adoption within hospital and specialty cardiology settings without conflicting with regulatory, standardization, or population health dynamics.

Market Restraints

Limited Standardization of Cardiac Imaging Acquisition Protocols Creating Variability in AI Performance Across Diverse Cardiology Care Settings

The market lacks uniform cardiac imaging acquisition procedures, which hinders operational efficiency across medical facilities. Several variations in echocardiography views, CT scanner settings, and operator techniques impact the generalized models of artificial intelligence. This particularly impacts multisite healthcare networks. Thus, a heterogeneous practice of cardiac imaging slows uniform deployment and increases validation complexity.

Market Opportunities

Integration of AI Cardiology Outputs into Population-Level Cardiovascular Management Programs: Accelerating the Shift Toward Preventive Cardiac Risk Stratification and Long-term Disease Monitoring

Artificial intelligence platforms that combine imaging results with clinical metrics support structured risk stratification and outcome tracking, opening doors for wider deployment within preventive cardiology and chronic disease management programs. Health systems and public health agencies are increasingly focusing on early risk identification and longitudinal monitoring of cardiovascular disease. This presents an emerging opportunity to integrate artificial intelligence cardiology outputs into population-level cardiovascular management initiatives.

Technological Landscape

• EchoGo by Ultromics is an imaging and diagnostic platform that detects heart failures, Coronary Artery Disease (CAD), and structural abnormalities. It has a strong adoption in North America, particularly the US, and Europe.
• Tempus Pixel is a cloud-native AI software solution for automated cardiac MRI analysis, AI-driven 4D flow visualization, and myocardial strain analysis. It is designed to get integrated with existing clinical workflows or for easier deployment in hospitals and imaging centers.
• FFR-CT provided by HeartFlow is a standard Cardiac Computed Tomography Angiography (CCTA) scan that creates a personalized 3D model of the heart to calculate fractional flow reserve (FFR). It enables clinicians to determine coronary stenosis and structure a treatment flow/intervention for the patient.

Regional Analysis

The AI in cardiology market in North America held the largest share of 48.68% in the market in 2025 due to early adoption of AI-enabled cardiology software and widespread access to advanced diagnostic infrastructure across hospitals and cardiac imaging centers. The US Food and Drug Administration's organized clearance routes and robust interaction with enterprise imaging systems and clinical information platforms provide the region with a mature regulatory framework that facilitates the clinical adoption of AI-based cardiology solutions.

The US market shares the largest regional contribution due to the sustained investment in AI-based cardiology tools, federal-level digital health programs, and nationwide screening initiatives for cardiovascular disease. In January 2026, Cleerly disclosed on its official corporate website that Aetna expanded reimbursement coverage for its AI-based coronary plaque analysis platform, supporting broader clinical utilization of AI-driven cardiology imaging across the US.

Asia Pacific

Asia Pacific is emerging as a rapidly expanding region with a CAGR of 29.66% for AI in cardiology adoption, driven by large-scale hospital digitization programs and increasing installation of advanced cardiac imaging equipment. Countries across the region are investing in artificial intelligence-supported diagnostics to manage rising imaging volumes and the growing cardiovascular disease burden.

Leading Chinese medical technology firms have developed artificial intelligence-enabled cardiology imaging solutions that are becoming popular in clinical settings and complementing government-led hospital modernization and digital health initiatives. The recent introduction and implementation of an AI-powered cardiac ultrasound full-stack evaluation system by ࿈医疗 (Mindray), a Chinese medical device manufacturer, is a noteworthy example. This solution integrates AI into the entire cardiac ultrasound workflow to shorten scan times and simplify cardiac imaging procedures for clinicians. Features such as strain assessment and quantitative analysis across heart chambers support automated measurement of several cardiac parameters. The clinical potential and extended applications of this solution have improved cardiology imaging workflows. Innovations in line with procedures and imaging solutions are expected to position China as a leading country in the Asia Pacific market.

Europe

Europe continues to record strong adoption of AI in cardiology solutions. The region boasts of favorable policies that promote digital imaging interoperability and artificial intelligence integration within healthcare systems. Unified health data exchange frameworks across the European Union support cross-border access to cardiac imaging data, enabling wider deployment of AI-based cardiology tools within hospital networks.

Germany dominates the European market with its digital health initiatives. In November 2025, it hosted the ESC (European Society of Cardiology) Digital & AI Summit in Berlin, which focused on AI innovation across cardiovascular care. The country has a high installation density of advanced CT and MRI systems that support routine use of automated cardiac analysis software in clinical diagnostics. The country has well-established players in this market who focus on advancing imaging solutions. For instance, in November 2025, Siemens Healthineers introduced its new integrated imaging suite powered by artificial intelligence named Optiq AI, designed to enhance image quality and workflow for interventional procedures that include cardiology applications.

Latin America

Latin America demonstrates a steady growth in the AI in cardiology market, with an expanding base of digital imaging infrastructure and regional health informatics initiatives. The region is focusing on standardizing electronic clinical records and diagnostic imaging workflows to improve readiness for the adoption of AI in cardiology.

Brazil leads the Latin American region through public sector digitization of primary and secondary healthcare systems, enabling integration of cardiac imaging analytics into broader diagnostic pathways. The Ministry of Health, with its SUS Digital initiative, focuses on integrating electronic health records (EHRs) across the public health system and boosting telehealth services. The country is moving toward standardizing digital data exchange across multiple healthcare end users.

Middle East and Africa

The Middle East and Africa market has government-backed digital health transformation programs and increased investment in advanced diagnostic technologies. National health information platforms and secure data exchange initiatives are improving access to cardiac imaging data. For instance, Unified Medical Records by the UAE is a national unified health record platform for standardized health records for public and private providers. Vision 2030 of Saudi Arabia focuses on driving digital healthcare data for improved AI-augmented diagnosis.

South Africa leads the regional market with its modernization efforts for cardiology and radiology departments across public hospital networks. A Philips Future Health Index 2025 report indicated that 91% of healthcare professionals in the country believe AI can reduce hospital admissions. Health reforms such as National Health Insurance encourage higher technology adoption for improved service to patients, leading to AI integration in existing infrastructure. The country has a clinical environment already comfortable using digital technology, which is expected to maintain its leading position in the market in the coming years.

Type Insights

The outpatient scheduling segment dominated the AI in cardiology market share in 2025 with a share of 43.45%, supported by high patient volumes in cardiology clinics, diagnostic facilities, and hospital outpatient departments. Cardiac consultants are increasingly relying on digital scheduling platforms to streamline tasks such as appointments, follow-ups, and preventive screening. There is a focus on long-term chronic disease management, minimizing delayed care, and updating healthcare infrastructure with the changing AI models. This change in healthcare operations is increasing the adoption of artificial intelligence-enabled outpatient scheduling systems. Thus, a shift toward proactive care with preventive healthcare management and data-driven clinical optimization is expected to boost the segment growth.

The specialty care scheduling segment is expected to record the fastest growth with a CAGR of 28.38%. A rising demand for coordinated scheduling across subspecialties such as interventional cardiology, electrophysiology, and heart failure management is expected to boost the segment growth. In this regard, artificial intelligence supports complex referral-based workflows and resource planning.

Deployment Mode Insights

The cloud-based deployment segment dominated the AI in cardiology market in 2025 with a considerable share. This deployment method relies on scalability, centralized data access, and streamlined integration with hospital information systems and cardiology imaging platforms. It enables healthcare providers to manage large volumes of cardiac data, along with supporting remote access. This has increased the deployment of artificial intelligence updates throughout the healthcare infrastructure.

The on-premises deployment segment is projected to be the fastest growing with a CAGR of 28.78%. The segment growth is witnessed by the preference among large hospitals and healthcare networks for direct control over data security. It also assists in infrastructure customization and compliance with internal data governance policies in cardiology departments. This, in turn, boosts the AI in cardiology market growth during the forecast period.

End Use Insights

The hospitals segment held the dominant share of 43.34% in 2025, supported by high adoption of artificial intelligence across cardiology imaging, patient scheduling, and clinical decision support systems. Hospitals have robust integrated digital infrastructure and multidisciplinary cardiology services, which support a wide-scale deployment of artificial intelligence solutions.

The clinics segment is anticipated to grow at the fastest rate with a CAGR of 28.56%. Increasing digitization levels of standalone cardiology practices and outpatient clinics are expected to contribute to segment growth. These healthcare units are seeking artificial intelligence-enabled tools to manage patient flow, scheduling efficiency, and cardiac diagnostic workflows.

Figure: AI in Cardiology Market Segments

Regulatory Bodies Governing AI in the Cardiology Market

Competitive Landscape

The AI in cardiology market is moderately fragmented with competition among multinational medical imaging companies, healthcare IT providers, specialized artificial intelligence developers, and regional digital health firms. Established players compete on factors such as a broad product portfolio and scalability potential. Regional and smaller players focus more on pricing agility, customization, and alignment with local clinical workflows. The intensity of competition is governed by technology differentiation, algorithm performance, clinical evidence, regulatory approvals, geographic reach, and reimbursement models. Emerging trends include longitudinal cardiac intelligence platforms, multimodal data integration, workflow automation across imaging modalities, expansion into outpatient cardiology settings, and partnerships between imaging hardware manufacturers and artificial intelligence software providers.

List of key players in AI in Cardiology Market

1. GE Healthcare
2. HeartFlow, Inc.
3. IDOVEN
4. CardiAI
5. Ultromics Limited
6. Arterys Inc.
7. UltraSight
8. Koninklijke Philips N.V.
9. Merge (By Merative)
10. Novartis
11. Edward Lifesciences
12. Cleerly
13. Vista AI
14. Viz.ai, Inc.
15. RSIP Vision
16. Cleerly, Inc.
17. Medical AI Co., Ltd.
18. Anumana, Inc.
19. Aidoc
20. Circle Cardiovascular Imaging Inc.
21. Eko Health, Inc.
22. Cardiomatics
23. Us2.ai
24. NeuralCloud
25. Mediwhale
26.  

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Latest News on Key Players and Emerging Players

Source: Secondary Research

Source: Secondary Research