AI-Enabled Medical Imaging Solutions Market Report 2025

This report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.

The AI-enabled medical imaging solutions market size has grown exponentially in recent years. It will grow from $2.21 billion in 2024 to $2.92 billion in 2025 at a compound annual growth rate (CAGR) of 31.8%. The growth in the historic period can be attributed to advancements in computer vision, digitization of medical images, proliferation of imaging modalities, evolution of machine learning algorithms, and availability of large datasets.

The AI-enabled medical imaging solutions market size is expected to see exponential growth in the next few years. It will grow to $8.68 billion in 2029 at a compound annual growth rate (CAGR) of 31.4%. The growth in the forecast period can be attributed to AI for mental health imaging, AI-enhanced robotic surgery, quantum computing impact, expanded role in remote patient monitoring, regulatory framework evolution. Major trends in the forecast period include exponential growth in AI adoption, AI-driven early detection and prevention, hybrid models and ensemble learning, augmented Intelligence in radiology, AI-powered personalized medicine.

The rising incidence of chronic disorders is projected to drive the growth of the AI-enabled medical imaging solutions market in the coming years. Chronic disorders, also known as chronic illnesses, are medical conditions that persist for over three months and include diseases such as cancer, diabetes, heart disease, arthritis, chronic obstructive pulmonary disease, asthma, and autoimmune disorders. AI-enabled medical imaging facilitates early diagnosis of chronic illnesses by analyzing complex imaging data, which enables quicker identification of abnormalities and faster intervention, leading to improved patient outcomes. For instance, in September 2023, a report from the World Health Organization (WHO), a specialized UN agency based in Switzerland, revealed that noncommunicable diseases (NCDs) account for 41 million deaths annually, which is 74% of all global fatalities. Among these, 17 million individuals die from an NCD before reaching 70 years of age, with 86% of these premature deaths occurring in low- and middle-income countries. Cardiovascular diseases are the leading cause, resulting in 17.9 million deaths each year, followed by chronic respiratory diseases (4.1 million), cancers (9.3 million), and diabetes (2 million, including deaths from kidney disease associated with diabetes). Hence, the increasing prevalence of chronic disorders is fueling the growth of the AI-enabled medical imaging solutions market.

Leading companies in the AI-enabled medical imaging solutions market are actively focusing on AI-enhanced image reconstruction techniques, such as deep learning reconstruction (DLR), to provide innovative technology that enhances the diagnostic capabilities of healthcare professionals while ensuring patient comfort. DLR is a technique in medical imaging that leverages deep learning algorithms to improve image quality. For instance, in November 2023, Canon Medical Systems USA Inc., a US-based company specializing in imaging solutions, introduced the Precise IQ Engine. This high-resolution deep learning reconstruction for magnetic resonance imaging, driven by Altivity, represents a groundbreaking approach to AI innovation. The Precise IQ Engine enhances matrix size, reduces noise, and produces clear anatomical images, elevating magnetic resonance imaging to new levels of quality. The program creates high-spatial-resolution images from low-resolution photographs while maintaining image quality and minimizing ringing effects. This innovation exemplifies the commitment of companies to advancing AI-enabled medical imaging solutions for more accurate and efficient diagnosis and treatment of chronic disorders.

In February 2023, GE HealthCare Technologies, Inc., a leading US-based medical technology company renowned for its imaging solutions, finalized the acquisition of Caption Health, Inc. for an undisclosed sum. This strategic move enhances GE HealthCare's ultrasound business by integrating AI-enabled picture guidance into its ultrasound device offerings. Caption Health Inc., also based in the US, is a distinguished medical technology firm specializing in AI-enabled ultrasound guidance software.

Major companies operating in the AI-enabled medical imaging solutions market report are Siemens AG, IBM Corporation, NVIDIA Corporation, Fujifilm Holdings Corporation, Koninklijke Philips N.V., GE HealthCare Technologies, Inc, Zebra Technologies Corp., Agfa-Gevaert N.V., Carestream Health, Nuance Communications Inc, Aidoc Medical, SyntheticMR, Butterfly Network Inc, EnvoyAI, ICAD INC., Arterys Inc., Beijing Infervision Technology Co. Ltd., Subtle Medical, Ziosoft, ContextVision AB, RADLogics Inc., Qview Medical Inc, Riverain Technologies, icometrix, DiA Imaging Analysis Ltd., Imagen AI, MaxQ AI Ltd.

North America was the largest region in the AI-enabled medical imaging market in 2024. The regions covered in the ai-enabled medical imaging solutions market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the ai-enabled medical imaging solutions market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The AI-enabled medical imaging solutions market consists of revenues earned by entities by providing services such as monitoring patient care, computer-aided diagnosis (CAD), image reconstruction, automated tumor detection, and cardiac imaging analysis. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI-enabled medical imaging solutions market also includes sales of high-performance computing (HPC) systems, neuroimaging devices, gastrointestinal imaging products, and image segmentation tools. 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).

AI-enabled medical imaging solutions comprise a spectrum of technologies that leverage artificial intelligence (AI) in medical imaging processes, aiming to enhance the accuracy, efficiency, and customization of diagnosis and treatment. These solutions play a vital role in improving clinical decision-making, increasing diagnostic precision, and addressing healthcare personnel shortages, ultimately supporting various therapeutic applications.

The primary components of AI-enabled medical imaging solutions include software and hardware. Software, a compilation of data, programs, or instructions that operate machines and execute specific functions, is a key element in AI-enabled medical imaging systems, showing significant potential for enhancing overall patient care and increasing diagnostic precision and efficiency. Modalities encompass computed tomography (CT), magnetic resonance (MR), x-ray, ultrasound, mammography, multimodality imaging systems, and other modalities integrated with technologies such as deep learning, natural language processing (NLP), computer vision, and other advanced technologies. These solutions find applications in areas such as breast imaging, respiratory and pulmonary, neurology, orthopedics, and others. The industry verticals benefiting from AI-enabled medical imaging solutions include hospitals and healthcare providers, patients, pharmaceutical and biotechnology companies, healthcare payers, and other relevant stakeholders.

The AI-enabled medical imaging solutions research report is one of a series of new reports that provides AI-enabled medical imaging solutions market statistics, including the AI-enabled medical imaging solutions industry's global market size, regional shares, competitors with a AI-enabled medical imaging solutions market share, detailed AI-enabled medical imaging solutions market segments, market trends and opportunities, and any further data you may need to thrive in the AI-enabled medical imaging solutions industry. This AI-enabled medical imaging solutions market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

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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