Artificial Intelligence (AI) in Ultrasound Imaging Market Report 2025

This artificial intelligence (AI) in ultrasound imaging market report delivers an in-depth analysis of the market’s key characteristics, including size, growth potential, and segmentation. It provides a detailed breakdown of the market across major regions and leading countries, highlighting historical data and future growth projections. The report also examines the competitive landscape, market share insights, emerging trends, and strategic developments shaping the market.

The artificial intelligence (AI) in ultrasound imaging market size has grown rapidly in recent years. It will grow from $1.14 billion in 2024 to $1.28 billion in 2025 at a compound annual growth rate (CAGR) of 12.2%. The growth in the historic period can be attributed to the rising prevalence of chronic diseases, growing demand for minimally invasive procedures, improvements in ultrasound imaging resolution, growing awareness of early disease detection, and increasing healthcare spending.

The artificial intelligence (AI) in ultrasound imaging market size is expected to see rapid growth in the next few years. It will grow to $2 billion in 2029 at a compound annual growth rate (CAGR) of 11.9%. The growth in the forecast period can be attributed to the increasing use of AI for personalized medicine, rising demand for point-of-care diagnostics, growing investment in healthcare AI, increasing prevalence of lifestyle-related diseases, and enhanced capabilities of deep learning algorithms. Major trends in the forecast period include increasing adoption of cloud-based imaging solutions, advancements in real-time AI imaging analysis, rising demand for AI-based automated workflow, integration of AI with wearable ultrasound devices, and growing focus on AI-based image enhancement and interpretation.

The anticipated growth of the artificial intelligence (AI) in ultrasound imaging market is largely driven by the increasing prevalence of cancer. Cancer, characterized by the uncontrolled growth and spread of abnormal cells, is becoming more common due to factors such as an aging population, improved detection methods, lifestyle changes, infectious agents, and better healthcare access. AI in ultrasound imaging plays a crucial role in enhancing cancer detection by improving image accuracy and facilitating early diagnosis, which allows for the identification of cancer at earlier, more treatable stages. For example, the World Health Organization (WHO) projects that by 2050, the number of new cancer cases will exceed 35 million, representing a 77% increase from the estimated 20 million cases in 2022. This rising cancer prevalence is expected to drive growth in the AI in ultrasound imaging market.

Leading companies in the AI in ultrasound imaging market are focusing on developing innovative solutions, such as AI-powered ultrasound systems, to optimize clinical performance and make them user-friendly for clinicians of all skill levels. These AI-powered systems integrate advanced algorithms to enhance imaging accuracy, automate diagnoses, and improve overall efficiency in medical ultrasound examinations. For instance, in November 2023, Siemens Healthineers launched the Acuson Maple ultrasound system. This versatile and affordable system is designed for rapid diagnosis across various clinical settings. It features advanced AI capabilities and a portable design, making it suitable for emerging markets, small hospitals, and urgent care centers. With support for 15 transducers and up to 75 minutes of battery-powered scanning, it enhances workflow efficiency and provides high-quality imaging.

In July 2022, Exo Imaging Inc., a US-based medical imaging software and devices company, acquired Medo.ai for an undisclosed amount. This acquisition aims to integrate Medo’s AI technology into Exo’s ultrasound platform, making ultrasound imaging more accessible, faster, and easier for a broader range of caregivers, thus improving diagnostic and treatment capabilities. Medo.ai, a Canada-based company, specializes in AI-based technologies, including ultrasound imaging.

Major companies operating in the artificial intelligence (AI) in ultrasound imaging market are Samsung Electronics Co. Ltd., Intel Corporation, International Business Machines Corporation (IBM), NVIDIA Corporation, Siemens Healthcare GmbH, Fujifilm Holdings Corporation, Koninklijke Philips N.V., GE HealthCare Technologies Inc., Mindray Bio-Medical Electronics Co. Ltd., Agfa-Gevaert Group, Canon Medical Systems Corporation, Carestream Health Inc., Esaote S.p.A., SonoScape Medical Corp., Trivitron Healthcare Pvt. Ltd., Verathon Inc., EchoNous Inc., Qure.ai Technologies Pvt. Ltd., Bracco Diagnostics Inc., DiA Imaging Analysis Ltd., Enlitic Inc., Ultrasound AI Inc.

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

Artificial intelligence (AI) in ultrasound imaging involves incorporating AI algorithms and machine learning models to enhance the accuracy, efficiency, and interpretation of ultrasound scans. AI helps automate image analysis, improve diagnostic precision, minimize human error, and support real-time decision-making. This technology assists clinicians in detecting abnormalities, streamlining workflow, and delivering more reliable and quicker diagnoses.

The primary solutions in AI for ultrasound imaging include software tools, services, and devices. Software tools are specialized applications and algorithms designed to analyze, interpret, and refine ultrasound images and data to boost diagnostic accuracy and efficiency. These tools leverage technologies such as machine learning, natural language processing, context-aware computing, and computer vision. These advancements are applied across various ultrasound technologies, including diagnostic imaging, therapeutic applications, 2D, 3D, and 4D imaging, high-intensity focused ultrasound, extracorporeal shockwave lithotripsy, and Doppler ultrasound. AI in ultrasound imaging is utilized in a range of fields, including radiology, cardiovascular medicine, gastroenterology, and obstetrics and gynecology. End users of AI-powered solutions include hospitals, clinics, research labs, diagnostic centers, and other healthcare facilities.

The artificial intelligence (AI) in ultrasound imaging market research report is one of a series of new reports that provides artificial intelligence (AI) in ultrasound imaging market statistics, including artificial intelligence (AI) in ultrasound imaging industry global market size, regional shares, competitors with a artificial intelligence (AI) in ultrasound imaging market share, detailed artificial intelligence (AI) in ultrasound imaging market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in ultrasound imaging industry. This artificial intelligence (AI) in ultrasound imaging 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) in ultrasound imaging market consists of revenues earned by entities by providing services such as image classification, anomaly detection, image fusion, and automated reporting. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in ultrasound imaging market also includes sales of image processing units, ultrasound machines, transducers, and remote analysis and storage products. 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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