AI-Enabled Medical Imaging Solutions Global Market Report 2024

The AI-enabled medical imaging market size has grown exponentially in recent years. It will grow from $1.68 billion in 2023 to $2.21 billion in 2024 at a compound annual growth rate (CAGR) of 32%. The growth observed in the historical period can be attributed to several factors, including advancements in computer vision, the digitization of medical images, the proliferation of imaging modalities, the evolution of machine learning algorithms, and the availability of large datasets. These factors collectively contributed to the development and adoption of AI-enabled medical imaging solutions during that time, facilitating improved diagnostic capabilities and enhancing the overall efficiency of medical imaging processes.

The AI-enabled medical imaging market size is expected to see exponential growth in the next few years. It will grow to $6.62 billion in 2028 at a compound annual growth rate (CAGR) of 31.5%. The anticipated growth in the forecast period can be attributed to several factors, including the application of AI in mental health imaging, AI-enhanced robotic surgery, the impact of quantum computing, an expanded role in remote patient monitoring, and the evolution of regulatory frameworks. Noteworthy trends expected in the forecast period encompass exponential growth in AI adoption, AI-driven early detection and prevention of medical conditions, the adoption of hybrid models and ensemble learning approaches, the integration of augmented intelligence in radiology, and the utilization of AI-powered personalized medicine.

The anticipated increase in the prevalence of chronic disorders is poised to drive the growth of the AI-enabled medical imaging solutions market in the coming years. Chronic disorders, lasting longer than three months, encompass conditions such as cancer, diabetes, heart disease, arthritis, chronic obstructive pulmonary disease, asthma, and autoimmune diseases. AI-enabled medical imaging solutions play a crucial role in expediting the early diagnosis of chronic illnesses by analyzing complex imaging data. This capability enables faster identification of anomalies, facilitating prompt intervention for improved patient outcomes. As of January 2023, a report from the National Library of Medicine indicates that the number of individuals aged 50 and older with one or more chronic diseases in the United States is projected to increase by 99.5%, reaching 142.66 million by 2050, compared to 71.522 million in 2020. This significant rise underscores the growing prevalence of chronic disorders and the consequent demand for advanced diagnostic technologies, driving 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, 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 2023. 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.

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 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).

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.


This product will be delivered within 3-5 business days.