North America AI in Medical Imaging Market Size, Share, Trends and Forecast, 2026-2034
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North America AI in Medical Imaging Market Summary
The North America AI in medical imaging market size was valued at USD 803.71 million in 2025. The market is anticipated to grow at a CAGR of 33.50% from 2026 to 2034. The region’s high healthcare expenditure and rising shortage of skilled radiologists are a few of the key factors driving market growth.
Market Statistics
Key Takeaways
• The U.S. held the largest market share of 88.0% in 2025. The country’s leading position is driven by rising technological partnerships.
• The neurology segment held the largest revenue share of 19.0% in 2025. This is owing to the increased adoption of AI in neurology.
• The breast screening segment is projected to witness rapid growth at a 32.60% CAGR. The rising patients' inclination towards early-stage detection are driving the segment’s growth.
• The CT scans segment accounted for the largest market of 22.0% in 2025. CT scans provide more comprehensive data compared to alternative methods.
• The X-ray segment is expected to grow at a 32.20% CAGR. This is because of increased usage of intervention x-ray machines for image-guided surgeries.
Note: Figures and projections outlined in this report are the result of Polaris Market Research’s proprietary analytical processes, grounded in the latest available datasets and market observations.
Industry Dynamics
- The increasing need to handle vast and intricate datasets has led to higher integration of AI in medical imaging in North America.
- The U.S. market for artificial intelligence in healthcare imaging is expected to experience growth driven by increased financial support for AI-based startups.
- Rising integration of cloud-based platforms for remote diagnostics is creating several market opportunities.
- High initial implementation costs may present market challenges.
Market Overview
Rising demand for managing extensive and intricate medical datasets has resulted in a higher uptake of artificial intelligence within medical imaging. This upward trend is propelled by AI's capacity to refine diagnostic accuracy, hasten image interpretation, and enhance overall healthcare efficacy through sophisticated data handling and analysis capabilities. For instance, Rayscape CXR distinguishes between regular X-rays and those presenting abnormalities, streamlining patient treatment, and facilitating prompt physician assessment. With the ability to identify more than 147 pathologies, it provides a rapid and effective means for doctors to prioritize and manage patient requirements.
Source: Polaris Market Research Analysis
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Government efforts in the U.S. to promote the integration of artificial intelligence into healthcare, especially within medical imaging, have driven notable progress in the field. These initiatives encompass financial support and regulatory backing, fostering partnerships between public and private entities. The consequent increase in AI utilization in medical imaging has boosted diagnostic precision, optimized processes, and elevated patient care standards, thereby advancing the market.
In September 2022, the National Institutes of Health (NIH) unveiled plans to allocate USD 130 million over a four-year period, contingent upon fund availability, to accelerate the extensive integration of artificial intelligence into biomedical and behavioral research. The initiative, known as Bridge2AI under the NIH Common Fund, aims to unite interdisciplinary teams in developing specialized AI tools, resources, and comprehensive datasets. The objective is to facilitate broader adoption of AI technology within research communities. Additionally, the FDA is actively developing a regulatory framework for the software modifications driven by the AI/ML to establish guidelines ensuring safety and efficacy.
AI in Medical Imaging in Simple Terms
Artificial intelligence in medical imaging involves the application of computer programs that analyze medical images to assist doctors in recognizing disease conditions more quickly and accurately, including AI-powered cancer detection. Artificial intelligence acts as an intelligent tool for the radiologist, identifying patterns and potential anomalies.
How AI in Medical Imaging Works?
Medical Image Acquisition: These images are acquired using different imaging modalities like X-rays, CT, MRI, ultrasound, and mammography.
AI Analysis of the Images: AI medical imaging software analyzes the images and processes the information before analyzing the images.
Pattern Recognition: AI analyzes the images and recognizes patterns and structures of normal and abnormal states.
Recognition of Abnormality: The software recognizes abnormalities in images such as tumors, fractures, and different diseases in comparison to training data.
Diagnosis by Radiologist: Following the process of AI, the radiologist analyzes the images along with the images analyzed by AI software.
Treatment Plan: Depending on the result of the analysis, proper decisions are made for diagnosis, precision oncology solutions, and treatment.
AI Medical Imaging vs. Traditional Medical Imaging
| Feature | AI Medical Imaging | Traditional Medical Imaging |
| Diagnosis Time | More rapid image processing and classification | More time-consuming manual image analysis |
| Correctness | Enhances detection of small abnormalities | Entirely dependent on the opinion of the radiologist |
| Efficiency | Automated processes and report generation | A largely manual process |
| Human Interpretation | Helps in making clinical decisions | Entirely dependent on specialist knowledge |
| Image Data Processing | Large sets of images are analyzed and patterns are identified | Limited manual analysis of images |
| Costs | Higher up-front costs, greater efficiency later on | Lower up-front costs, but higher manual costs |
Source: Polaris Market Research Analysis
Growth Drivers
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Increasing complex healthcare datasets
The increasing need to handle vast and intricate datasets, combined with government initiatives promoting the integration of artificial intelligence-based technologies in healthcare, drives the adoption of AI tools in the industry. A rising emphasis on reducing the workload of radiologists has stimulated the use of artificial intelligence (AI) solutions to automate mundane tasks and improve diagnostic procedures.
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Financial assistance to innovative AI start-ups
The U.S. market for artificial intelligence (AI) in medical imaging is expected to experience growth driven by increased financial support for AI-based startups. For instance, in June 2023, Carta Healthcare, Inc., focused on improving patient care through clinical data, revealed its Series B funding round with an additional USD 25 million, backed by investments from leading health systems UnityPoint Health & Memorial Hermann Health System. This additional funding supplements the initial USD 20 million Series B financing announced in November 2022, which received backing from investors including Asset Management Ventures & Frist Cressey Ventures.
AI Integration with Healthcare Systems
Medical imaging AI, including oncology AI software, is becoming more incorporated into the hospital systems to optimize clinical processes and enhance patient care. It cooperates with Electronic Health Records (EHR), Picture Archiving and Communication Systems (PACS), Radiology Information Systems (RIS), and cloud-based imaging systems to enable access to patient data and imaging results. This method fosters collaboration between health care professionals, improves decision making, and boosts efficiency. Use of AI reduces manual data input, ensures smooth transfer of information between different departments, and enables health care institutions to have effective clinical workflows.
Source: Polaris Market Research Analysis
Restraining Factors
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Regulations penetrating to fluorinated greenhouse gases
The market is facing increasing regulatory scrutiny, driven by concerns surrounding patient safety, data privacy, and the reliability of diagnostic tools powered by artificial intelligence. For instance, initiatives such as the AI Risk Management Framework, Executive Order 14091 issued in February 2023, & Blueprint for an AI Bill of Rights aim to ensure AI compliance with Federal laws, promote vigilant oversight, rigorous technical evaluations, stringent regulation, and engagement with affected communities.
Role of AI in Radiology
AI has become an increasingly useful technology in the field of radiology due to its ability to help radiologists process imaging studies much faster. AI can help identify abnormalities, prioritize studies with urgency, and generate reports. This enables radiologists to concentrate on more challenging cases. Additionally, solutions from radiology AI market can increase consistency across imaging studies by making interpretations more similar. With the growing amount of imaging studies, AI helps health care facilities be more productive.
Deep Learning in Medical Imaging
Deep learning is widely used in medical imaging applications because it can detect patterns with high accuracy. Deep learning is useful in disease detection, image classification, tissue segmentation, and predictive analysis regardless of the method being used to create images. As a result of training through large amounts of medical data, deep learning models are becoming increasingly accurate over time. These models find their application in areas such as radiology, AI in oncology, cardiology, and neurology where they assist in the detection of various diseases.
Report Segmentation
The market is primarily segmented based on technology, application, modality, and region.
| By Technology | By Application | By Modality | By Region |
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Source: Polaris Market Research Analysis
By Application Analysis
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Neurology segment held the largest share in 2023
Neurology segment held the largest revenue share in 2023. This is propelled by the increased adoption of AI in neurology, which enhances patient care while ensuring higher accuracy and efficiency. Additionally, AI technology finds applications in neuro-oncology, brain injury detection, & neurosurgery. For instance, in May 2023, TeraRecon introduced Neuro Suite, tailored for the disease triage, and providing insights for the differential diagnosis.
Breast screening segment will grow with the rapid pace. Factors such as the rising occurrence of breast cancer cases and patients' inclination towards early-stage detection for timely and accurate treatment initiation are key drivers stimulating the demand for breast screening services. Moreover, government initiatives aimed at facilitating clinical interpretation and the increased availability of breast cancer screening technologies are expected to play pivotal roles in fostering market expansion.
Use Cases of AI in Medical Imaging
| Use Case | Description |
| Prioritization of Emergency Imaging Scans | Using artificial intelligence, emergency imaging is prioritized based on the recognition of important conditions like bleeding inside the body and a pulmonary embolism. |
| Lung Diseases Screening | AI is used to analyze images of the lungs and diagnose different conditions like pneumonia, pulmonary tuberculosis, lung nodules, and artificial intelligence in cancer diagnostics. |
| Improving the Image Quality | Artificial intelligence reduces the noise in the image and increases its clarity in order to improve the overall quality of the picture. |
| Disease Follow-Up Monitoring | Comparing previous and current medical images, AI monitors disease development and the effectiveness of the applied treatment. |
Source: Polaris Market Research Analysis
By Modality Analysis
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CT Scans segment accounted for the largest market share in 2023
CT scans segment accounted for the largest market. CT scans provide more comprehensive data compared to alternative methods, and there is no conclusive evidence demonstrating that the low levels of radiation utilized in CT scans pose long-term harm. The market is segmented based on modality into MRI, CT scan, ultrasound, X-ray, and nuclear imaging. For instance, in November 2023, Brainomix, a company specializing in AI-powered software solutions for precision medicine in stroke, lung fibrosis, and cancer, announced its ongoing expansion efforts in the U.S.
X-ray segment expected to witness robust growth rate. This is primarily due to increasing use of interventional X-ray equipment for imaging-guided surgeries, such as C-arms and similar devices. The advancements in C-arm technology, particularly the development of compact C-arms featuring flat panel detectors and digital radiography, have significantly boosted the global demand for X-rays. For example, in October 2023, Philips launched the Philips Image Guided Therapy Mobile C-arm System 3000, also known as Zenition 30.
Source: Polaris Market Research Analysis
Regional Insights
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United States held the largest share of the global market in 2025
U.S. region dominated the market. Region’s growth is due to technological partnerships serve to expand market presence, provide access to complementary expertise, and consolidate resources strategically to enhance research and development capabilities. For instance, in January 2024, GE HealthCare revealed an acquisition agreement with MIM Software. The acquisition is designed to incorporate company's imaging analytics & digital workflow capabilities across different therapeutic areas, fostering innovation and differentiating GE HealthCare's solutions to positively impact patients & healthcare systems worldwide.
Source: Polaris Market Research Analysis
Key Market Players & Competitive Insights
The market is experiencing a high growth stage, with the pace of expansion accelerating. The market's significant innovation is propelled by advancements in machine learning algorithms, enhanced collaboration, abundant medical datasets, and supportive government initiatives. For instance, in September 2023, COTA, unveiled Vista, a comprehensive automated EHR dataset, aimed at accelerating cancer research and deploying reliable generative artificial intelligence in cancer care.
Some of the major players operating in the global market include:
- GE HealthCare
- Microsoft
- Digital Diagnostics Inc.
- TEMPUS
- Butterfly Network, Inc.
- Advanced Micro Devices, Inc.
- HeartFlow, Inc.
- Enlitic, Inc.
- Canon Medical Systems USA, Inc.
- Viz.ai, Inc.
- EchoNous, Inc.
- HeartVista Inc.
- Exo Imaging, Inc
- NANO-X IMAGING LTD
Future Outlook
It is anticipated that the market for AI in medical imaging in North America will exhibit steady growth due to the ongoing adoption of AI-based imaging technology in order to enhance the precision and efficiency of diagnoses made. Advancements in machine learning and deep learning, along with cloud-based imaging technology, are expected to facilitate adoption of these technologies in hospitals and other diagnostic centers. The rising need for faster imaging analysis, disease diagnosis, and the digitization of the healthcare industry are expected to propel the market.
Recent Developments in the Industry
- June 2026: Subtle Medical secured FDA clearance for its AI-based image enhancement technology called SubtleHD (CT). The firm announced that this technology has been developed to reduce the noise and improve low contrast visibility on CT images. (source: subtlemedical.com)
- March 2026: Mosaic Clinical Technologies announced FDA Breakthrough Device Designation for Cognita Chest X-Ray (CXR) across multiple critical indications. According to Mosaic, the breakthrough designation means Cognita will engage in prioritized interactions with the FDA regarding the clearance of a device designed to address the radiology capacity bottleneck. (source: businesswire.com)
Report Coverage
The North America AI in Medical Imaging market report emphasizes on key regions across the globe to provide better understanding of the product to the users. Also, the report provides market insights into recent developments, trends and analyzes the technologies that are gaining traction around the globe. Furthermore, the report covers in-depth qualitative analysis pertaining to various paradigm shifts associated with the transformation of these solutions.
The report provides detailed analysis of the market while focusing on various key aspects such as competitive analysis, technology, application, modality, end use, and their futuristic growth opportunities.
North America AI in Medical Imaging Market Report Scope
| Report Attributes | Details |
| Market size value in 2025 | USD 803.71 million |
| Market size value in 2026 | USD 1070.06 million |
| Revenue forecast in 2034 | USD 10821.51 million |
| CAGR | 33.50% from 2026 – 2034 |
| Base year | 2025 |
| Historical data | 2021 – 2024 |
| Forecast period | 2026 – 2034 |
| Quantitative units | Revenue in USD million and CAGR from 2026 to 2034 |
| Segments covered |
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| Regional scope |
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| Competitive Landscape |
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| Report Format |
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| Customization | Report customization as per your requirements with respect to countries, region and segmentation. |
Source: Polaris Market Research Analysis
North America AI in Medical Imaging Market FAQ's
The key companies in North America AI in Medical Imaging Market GE HealthCare, Microsoft, Digital Diagnostics, TEMPUS, Butterfly Network, Advanced Micro Devices
The North America AI in medical imaging market is expected to grow at a CAGR of 33.50% from 2026 to 2034.
North America AI in Medical Imaging Market report covering key segments are technology, application, modality, and region
The key driving factors in North America AI in Medical Imaging Market Increasing complex healthcare datasets
The market was valued at USD 803.71 million in 2025 and is projected to reach USD 10,821.51 million by 2034.
AI performs automated image analysis, prioritization of urgent cases, and report generation. These benefits make work easier for radiologists and shorten the time needed to generate reports.
Neurology held the largest application share, accounting for 19.0% of regional revenue in 2025.
There are several factors driving the incorporation of artificial intelligence in medical imaging. These are increased number of imaging tests, increased incidence of chronic diseases, insufficient number of competent radiologists, and requirement of accuracy and speed in diagnosis.
The U.S. led the regional market with an 88.0% revenue share in 2025.
AI is primarily used to support image analysis, triage, measurements, workflow, and reporting. Radiologists and other clinicians remain responsible for clinical interpretation and patient-care decisions.
CT scans held the largest modality share, accounting for 22.0% of the market in 2025.
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