Artificial Intelligence (AI) Electrocardiogram (ECG) Analysis Market Report 2025

The artificial intelligence (AI) electrocardiogram (ECG) analysis market size has grown rapidly in recent years. It will grow from $1.68 billion in 2024 to $2.01 billion in 2025 at a compound annual growth rate (CAGR) of 19.5%. The growth during the historic period can be attributed to the rising incidence of cardiovascular diseases, increasing adoption of remote patient monitoring, growing demand for early cardiac diagnosis, expansion of telehealth services, and heightened awareness of cardiac health.

The artificial intelligence (AI) electrocardiogram (ECG) analysis market size is expected to see rapid growth in the next few years. It will grow to $4.05 billion in 2029 at a compound annual growth rate (CAGR) of 19.1%. The growth in the forecast period can be attributed to rising government support for digital health, an increasing emphasis on personalized healthcare, expanding hospital investments in digital infrastructure, and the growing adoption of wearable cardiac monitoring devices. Major trends during this period include advancements in deep learning algorithms, development of large annotated electrocardiogram datasets, establishment of hybrid AI-human diagnostic workflows, innovation in miniaturized sensors, and improvements in real-time arrhythmia detection algorithms.

The rising incidence of cardiovascular diseases is expected to drive the growth of the artificial intelligence (AI) electrocardiogram (ECG) analysis market. Cardiovascular diseases (CVDs), including coronary heart disease, heart failure, stroke, and hypertension, are increasingly prevalent due to factors such as poor diet, excessive consumption of saturated and trans fats, added sugars, and high sodium intake, which contribute to high blood pressure, obesity, and elevated cholesterol major risk factors for heart conditions. AI-powered ECG analysis supports the early and accurate diagnosis of CVDs by automatically interpreting ECG signals with high precision, reducing diagnostic delays, and improving clinical decision-making and patient outcomes. For example, according to the Australian Institute of Health and Welfare, doctor-certified deaths from coronary heart disease in Australia rose from 14,100 in 2021 to 14,900 in 2022, highlighting the need for improved diagnostic tools. Consequently, the growing demand for early and accurate cardiac diagnosis is fueling market growth in AI ECG analysis.

Leading companies in this market are developing advanced solutions such as AI marketplaces to streamline cardiac diagnostics and enhance clinical workflows. AI marketplaces are centralized platforms that provide access to multiple validated AI diagnostic tools, allowing healthcare providers to integrate sophisticated algorithms into clinical systems for faster and more accurate diagnoses. For instance, in July 2025, Koninklijke Philips N.V., a Netherlands-based health technology company, launched Philips’ ECG AI marketplace. This platform integrates AI-powered diagnostic tools into IntelliSpace ECG and cardiograph systems, featuring FDA-cleared algorithms like Anumana’s low ejection fraction AI ECG algorithm. The marketplace accelerates ECG review, enables earlier detection of heart failure using standard 12-lead resting ECGs, and improves both clinical efficiency and diagnostic accuracy.

In November 2022, Anumana Inc., a US-based health technology company, acquired NeuTrace Inc. to expand its AI diagnostic capabilities. Through this acquisition, Anumana integrated NeuTrace’s EP Data Biome platform and advanced deep-learning models into its AI ECG ecosystem, enabling more precise, real-time guidance during electrophysiology procedures. NeuTrace Inc. specializes in AI-based ECG analysis, and this strategic move strengthens Anumana’s position in providing comprehensive AI-powered cardiac diagnostics.

Major players in the artificial intelligence (ai) electrocardiogram (ecg) analysis market are iRhythm Technologies Inc., Viz.ai Inc., Tempus Labs Inc., HeartSciences Inc., Neurosoft Software Production S.A., Tricog Health Services Pvt. Ltd., Anumana Inc., IDOVEN S.L., Ultromics Limited., VUNO Inc., Cardio.AI Inc., Powerful Medical s.r.o., RSIP Vision Ltd., AccurKardia Inc., Cardiologs Technologies SAS, Cardiomatics Sp. z o.o., Cordys Analytics B.V., PulseAI Ltd., Vektor Medical Inc., DeepECG Inc.

North America was the largest region in the artificial intelligence (AI) electrocardiogram (ECG) analysis market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (AI) electrocardiogram (ECG) analysis market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the artificial intelligence (AI) electrocardiogram (ECG) analysis market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sudden escalation of U.S. tariffs and the consequent trade frictions in spring 2025 are severely impacting the healthcare sector, particularly in the supply of critical medical devices, diagnostic equipment, and pharmaceuticals. Hospitals and healthcare providers are facing higher costs for imported surgical instruments, imaging equipment, and consumables such as syringes and catheters, many of which have limited domestic alternatives. These increased costs are straining healthcare budgets, leading some providers to delay equipment upgrades or pass on expenses to patients. Additionally, tariffs on raw materials and components are disrupting the production of essential drugs and devices, causing supply chain bottlenecks. In response, the industry is diversifying sourcing strategies, boosting local manufacturing where possible, and advocating for tariff exemptions on life-saving medical products.

Artificial intelligence (AI) electrocardiogram (ECG) analysis refers to the use of machine learning and deep learning algorithms to automatically interpret ECG signals. It facilitates rapid and accurate detection of cardiac abnormalities, improves diagnostic precision, reduces human error, and supports timely clinical decision-making.

The main components of AI ECG analysis include software, hardware, and services. AI ECG analysis software consists of advanced digital solutions that employ AI algorithms to automatically interpret ECG data, enabling efficient and accurate detection of cardiac abnormalities. These solutions are available in on-premises and cloud-based formats. They are commonly used to detect and monitor conditions such as cardiac arrhythmias, heart failure, ischemic heart disease, and coronary artery disease, with applications in hospitals, clinics, and other healthcare settings.

The artificial intelligence (AI) electrocardiogram (ECG) analysis market research report is one of a series of new reports that provides artificial intelligence (AI) electrocardiogram (ECG) analysis market statistics, including artificial intelligence (AI) electrocardiogram (ECG) analysis industry global market size, regional shares, competitors with an artificial intelligence (AI) electrocardiogram (ECG) analysis market share, detailed artificial intelligence (AI) electrocardiogram (ECG) analysis market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) electrocardiogram (ECG) analysis industry. This artificial intelligence (AI) electrocardiogram (ECG) analysis market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence (AI) electrocardiogram (ECG) analysis market consists of revenues earned by entities by providing services such as algorithm customization, real-time electrocardiogram data interpretation, artificial intelligence (AI)-based risk stratification, automated electrocardiogram reporting, and predictive cardiac event alerts. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence electrocardiogram analysis market also includes sales of machine learning engines, artificial intelligence-integrated diagnostic dashboards, electrocardiogram signal processing modules, wearable-compatible analysis chips, and mobile electrocardiogram data viewers. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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