A recent report published by Infinium Global Research on AI in medical imaging market provides in-depth analysis of segments and sub-segments in the global as well as regional AI in medical imaging market. The study also highlights the impact of drivers, restraints, and macro indicators on the global and regional AI in medical imaging market over the short term as well as long term. The report is a comprehensive presentation of trends, forecast and dollar values of global AI in medical imaging market.
AI in medical imaging market is marked by several key trends. A major trend is the increasing use of deep learning and machine learning algorithms, which enhance the accuracy and speed of image analysis, particularly in radiology and oncology. AI's role in early disease detection allows for the identification of conditions like cancer and heart disease at earlier stages, improving patient outcomes. There's also a focus on workflow optimization, integrating AI tools to reduce manual tasks for healthcare professionals. However, challenges remain in widespread adoption. Data privacy and security concerns are prominent, given the sensitive nature of medical imaging data. Regulatory approval processes for AI-powered devices can be time-consuming. The lack of standardized protocols and interoperability with existing systems also hinders integration. Finally, AI systems require large, high-quality datasets for effective training, which can be hard to obtain due to data availability and consent issues. Addressing these challenges is essential for leveraging AI's full potential in medical imaging.
The rise in chronic diseases is increasing the demand for better diagnostic accuracy in medical imaging. AI can detect subtle abnormalities and provide insights, with projections showing a 47% rise in cancer cases by 2040. AI algorithms may outperform human radiologists in detecting breast cancer and can help identify high-risk patients for tailored treatment, enhancing outcomes. Additionally, the integration of AI with digital health technologies, like telemedicine and electronic health records (EHRs), is transforming medical imaging by enabling remote diagnostics and improving patient care. The COVID-19 pandemic has further accelerated this trend, with studies indicating AI can enhance radiology diagnoses by up to 20%. However, data privacy and security concerns pose challenges, as sensitive patient data is at risk of breaches. Compliance with regulations like HIPAA and GDPR complicates AI adoption, particularly for smaller institutions that may struggle with the high costs of implementing AI-driven imaging technologies. Nonetheless, technological advancements in imaging devices, such as high-resolution MRI and AI-powered reconstruction, create opportunities for the market by enabling faster, more accurate diagnoses. Partnerships between healthcare providers, imaging companies, and AI startups are fostering innovation and improving diagnostic efficiency, making AI-driven solutions more accessible globally.
Based on the component, the global AI in medical imaging market is segmented into hardware, software, and services. The software segment dominated the market with a market share of 44.92% in 2023. AI algorithms for denoising, super-resolution, and fast image reconstruction (e.g., deep learning-based MRI reconstruction) are pushing demand for optimized medical imaging software. Software solutions such as Siemens Healthineers’ AI-Rad Companion and GE Healthcare’s AIR Recon DL are enhancing diagnostic accuracy, necessitating continuous software innovation. AI-driven imaging software is increasingly utilized for personalized medicine, aiding in disease risk assessment and treatment planning. According to the Gov.UK, AI may accelerate diagnoses and treatments while allowing doctors and nurses to prioritize patient care. Companies backed by AI awards have already impacted 300,000 patients, with many more expected to benefit in the future.
Based on the modality, the global AI in medical imaging market is segmented into magnetic resonance imaging (MRI), computed tomography (CT), X-ray, ultrasound, and others. The computed tomography (CT) dominated the market in 2023 with a market share of 33.14%. The integration of AI with CT scans improves diagnostic accuracy and efficiency, enabling the identification of complex patterns, quantitative evaluations, and early detection of diseases such as cancer and cardiovascular disorders. The market is expanding as a result of these developments, which boost the use of AI-powered CT systems. The increasing demand for POC CT devices due to their portability and ease of use, coupled with AI integration, is driving the growth of AI in CT imaging by expanding its reach and accessibility.
Based on the application, the global AI in medical imaging market is segmented into oncology, radiology, cardiology, obstetrics/gynaecology, neurology, and others. The neurology dominated the market in 2023 with a market share of 27.80%. In neurology, AI applications in medical imaging are vital in the detection and analysis of neurological diseases such as Alzheimer's, Parkinson's disease, brain tumors, and stroke. AI assists neurologists by processing complex neuroimaging data and providing accurate, timely results. The rising incidence of neurological disorders due to aging populations is driving the segmental growth of AI in medical imaging market. In 2021, 3.4 billion people experienced a nervous system condition, according to a major new analysis from the Global Burden of Disease, Injuries, and Risk Factors Study (GBD) 2021, published in The Lancet Neurology journal.
Based on the end user, the global AI in medical imaging market is segmented into hospitals, diagnostic laboratories, and diagnostic imaging centers. The hospitals dominated the market in 2023 with a market share of 63.56%. Medical imaging in hospitals aids doctors in diagnosing diseases, monitoring treatment effectiveness, and guiding procedures by providing detailed views of organs, bones, and tissues without invasive surgery. It is a crucial tool for various medical specialties. The hospital sector is witnessing a transition to outpatient services due to changes in reimbursement, impacts of the pandemic, and patient choices, especially evident in the U.S. Providers are expanding into subspecialties such as neurology and oncology, increasing the need for advanced imaging technologies like MRI and CT. This trend has resulted in a rise in the use of outpatient imaging and teleradiology services. For instance, the Health Resources and Services Administration (HRSA) published updated figures indicating that more than 31 million patients were treated at HRSA-funded health centers in 2023—up by 2.7 million since 2020.
The global AI in medical imaging market is geographically segmented into North America, Europe, the Asia Pacific, and the Rest of the World. Among the regions, the North America region dominated the global AI in medical imaging market in terms of revenue during the forecasted period due to the strong presence of key market players, well-established healthcare infrastructure, and high adoption of advanced technologies across hospitals and diagnostic centers. Additionally, the growing prevalence of chronic diseases, such as cancer and cardiovascular disorders, is increasing the demand for early and accurate diagnosis, further driving the adoption of AI-enabled imaging systems. Supportive government initiatives, robust R&D investments, and collaborations between technology providers and healthcare institutions also contribute to North America’s leading position in the global AI in medical imaging market. Moreover, the Asia Pacific region is expected to grow at the fastest CAGR rate of 32.91% during the forecasted period due to the rapid expansion of healthcare infrastructure, increasing investments in digital health technologies, and growing awareness about the benefits of AI in diagnostic imaging. Countries such as China, Japan, South Korea, and India are witnessing accelerated adoption of AI-driven medical imaging solutions due to government initiatives supporting healthcare modernization and the integration of AI in clinical workflows.
In November 2024, Digital Diagnostics revealed plans to enhance the rapid scaling of its diabetic retinopathy testing service in the Kingdom of Saudi Arabia in partnership with Google Cloud. In the Kingdom of Saudi Arabia, over eight million individuals have diabetes, creating a significant demand for LumineticsCore, Digital Diagnostics’ AI tool designed to identify diabetic retinopathy at the point-of-care.
In May 2023, Digital Diagnostics launched the LumineticsCore system in the Southeast US. Digital Diagnostics has launched its LumineticsCore Al diagnostic system in nine Alabama patient service centers for diabetic treatment, a De Novo FDA-cleared autonomous AI system.
In August 2022, Digital Diagnostics announced that partnership with ArchWell Health to introduce its autonomous AI diagnostic system, LumineticsCore™, to its centers across the U.S., which detects diabetic retinopathy and macular edema at the point-of-care.
In May 2024, United Imaging introduced its newest MRI technology at the ISMRM conference as a Gold sponsor. The company's display will be segmented into Ultra-High Field, Ultra-High Gradient, Artificial Intelligence, and Innovation Community sections.
In April 2024, GE HealthCare launched its A1-Sure refurbishing ultrasound systems facility in Bangladesh, aiming to provide advanced diagnostic and clinical technologies to underserved rural populations, improving access to quality care and environmental sustainability.
In December 2024, Koninklijke Philips N.V. launched CT workflows with in-house AI, launched CT 5300 in North America at #RSNA2024.
| Report Coverage | Details |
|---|---|
| Market Size in 2023 | USD 1548.3 Million |
| Market Size by 2032 | USD 14362.9 Million |
| Growth Rate from 2024 to 2032 | CAGR of 32.11% |
| Largest Market | North America |
| No. of Pages | 300 |
| Market Drivers |
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| Market Segmentation | By Component, By Modality, By Application, and By End User |
| Regional Scope | North America, Europe, Asia Pacific, and RoW |
The report on global AI in medical imaging market provides a detailed analysis of segments in the market based on Component, Modality, Application, and End User.
· Hardware
· Software
· Services
· Magnetic Resonance Imaging (MRI)
· Computed Tomography (CT)
· X-ray
· Ultrasound
· Others
· Oncology
· Radiology
· Cardiology
· Obstetrics / Gynaecology
· Neurology
· Others
· Hospitals
· Diagnostic Laboratory
· Diagnostic Imaging Center
· Digital Diagnostics Inc.
· Aidoc
· United Imaging Healthcare Co.
· GE HealthCare
· Intel Corporation
· Siemens Healthineers
· Carestream Health
· InformAI
· Koninklijke Philips N.V.
· Butterfly Network Inc.
The report provides deep insights into demand forecasts, market trends, and micro and macro indicators. In addition, this report provides insights into the factors that are driving and restraining the growth in this market. Moreover, The IGR-Growth Matrix analysis given in the report brings an insight into the investment areas that existing or new market players can consider. The report provides insights into the market using analytical tools such as Porter's five forces analysis and DRO analysis of the AI in medical imaging market. Moreover, the study highlights current market trends and provides forecasts from 2024-2032. We also have highlighted future trends in the market that will affect the demand during the forecast period. Moreover, the competitive analysis given in each regional market brings an insight into the market share of the leading players.