AI In Medical Imaging Market (2026 - 2033) Size, Share & Trends Analysis Report By Technology (Deep Learning, Natural Language Processing), By Application (Neurology, Orthopedics), By End-use (Hospitals, Diagnostic Imaging Centers), By Modality, By Region, And Segment Forecasts

AI In Medical Imaging Market Summary

The global AI in medical imaging market size was estimated at USD 1.8 billion in 2025 and is projected to reach USD 20.2 billion by 2033, growing at a CAGR of 35.11% from 2026 to 2033. Rising demand for early & accurate diagnosis, the increasing volume of imaging data, and technological advancements in artificial intelligence (AI) and machine learning (ML) are driving market growth.

In addition, the shortage of skilled radiologists, the growing adoption of telemedicine & remote diagnostics, and integration with PACS and cloud infrastructure further fuel market growth. The section below outlines the key factors driving the growth of AI in the medical imaging market, highlighting rising demand for AI-powered medical imaging solutions, rapid technological advancements in AI and medical imaging, advancements in AI-driven clinical decision support and imaging solutions,supportive government initiatives, and regulatory frameworks, and increasing government funding and strategic research collaboration.

Market Drivers

Increasing Demand for AI-Powered Medical Imaging Solutions

The growing need to handle large medical datasets has accelerated the use of AI in medical imaging, as it improves diagnostic precision, accelerates image analysis, and enhances healthcare efficiency through advanced data management and interpretation. For instance, in February 2025, Philips extended its cloud-based HealthSuite Imaging services to Europe after successfully migrating over 150 sites in North and Latin America. This advancement allows secure, cloud-native access to large imaging datasets, streamlines workflows through AI, and explores generative AI solutions for radiology reporting.

Advancements in AI-Powered Imaging Analytics

AI-driven medical imaging tools use advanced algorithms and computing to provide rapid decision support to healthcare providers. Advancements in deep learning, convolutional neural networks, and generative adversarial networks have significantly improved the accuracy and effectiveness of medical image analysis. A Microsoft-IDC study published in March 2024 found that 79% of healthcare organizations currently use AI technology, with a return on investment of USD 3.20 per USD 1 invested. This is due to the increasing demand for accurate diagnoses and the complexity of medical imaging data.

Growing Financial Support from Private Players for AI Imaging Innovation

The AI in medical imaging market is also gaining significant financial backing from private players, fostering innovation and development in the sector. Cross-industry collaborations and partnerships are also increasing as diverse sectors collaborate to leverage AI technologies in medical imaging. This financial backing is expected to propel the market growth. For instance, in May 2025, Rad AI secured an additional USD 8 million in strategic investment from four leading U.S. health systems, including Advocate Health, Memorial Hermann Health System, Corewell Health, and Atlantic Health System, raising its Series C funding total to USD 68 million. This investment is intended to further support the development of enterprise AI solutions for radiology workflow automation and to broaden their implementation across provider networks.

Increasing Government Funding for AI Adoption

Governments globally are investing in integrating AI in healthcare, particularly in medical imaging. This has improved diagnostic accuracy, streamlined workflows, and enhanced patient care. For instance, in April 2025, the NIH Council of Councils approved PRIMED-AI (Precision Medicine with AI: Integrating Imaging with Multimodal Data) as a new NIH Common Fund program dedicated to integrating clinical imaging data with multimodal health datasets to develop AI-driven clinical decision support tools. This initiative aims to enhance diagnostic accuracy and advance personalized medicine through imaging-centric AI, highlighting increased government investment in AI adoption for medical imaging.

Recent Developments in AI in Medical Imaging Market

Market Concentration & Characteristics

The chart below illustrates the relationship between industry concentration, characteristics, and participants. The x-axis represents the level of industry concentration, ranging from low to high. The y-axis represents various industry characteristics, including industry competition, levels of partnerships & collaboration, degree of innovation, impact of regulations, and regional expansion. The AI in medical imaging market is fragmented, with several emerging solution providers dominating the market. The degree of innovation and impact of regulations on industry is high. The level of merger & acquisition activities is moderate. Moreover, industry expansion is high in the region.

The AI in medical imaging industry experiences a high degree of innovation driven by technological advancements. The increasing adoption of artificial intelligence in imaging diagnostics supports innovations in the market.For instance, in June 2025, Perimeter Medical Imaging AI launched the OCT-Tissue Surveillance Registry to collect extensive images and data from surgical procedures utilizing their imaging technology. This registry is expected to enhance the AI deep learning model for future product development, thereby improving clinical care and patient outcomes in cancer surgery.

The industry is experiencing moderate levels of merger and acquisition activity driven by several key players. This is due to the desire to gain a competitive advantage in the industry, enhance technological capabilities, and consolidate in a rapidly growing market. For instance, in April  2025, imaging center operator RadNet agreed to acquire breast imaging AI vendor iCAD for USD 103 million. The acquisition aims to accelerate global leadership in AI-powered breast cancer screening, combining advanced risk evaluation, breast density assessment, and arterial calcification classification to improve diagnostic accuracy and patient outcomes.

The FDA in the U.S. has established guidelines for AI-based tools. Regulations such as the Health Insurance Portability and Accountability Act (HIPAA) and the General Data Protection Regulation (GDPR) in Europe influence data usage and sharing. Compliance with international standards such as the International Organization for Standardization (ISO) is necessary for market access and is expected to impact product development processes.

Regional expansion ranges from medium to high, with players strategically expanding their global presence. This expansion aims to meet growing demand, monetize emerging healthcare markets, and promote AI in healthcare industry. For instance, in May 2025, Korean medical imaging AI companies Lunit and Coreline Soft secured supply contracts in Germany to support large-scale cancer screening programs. Lunit's five-year partnership with Starvision Service involves deploying AI solutions across 79 sites, while Coreline Soft supplies lung cancer screening software to University Hospital Bonn, enhancing diagnostic capabilities.

Case Study & Insights

A team of researchers from DeepC and the Department of Diagnostic and Interventional Neuroradiology at the Technical University of Munich conducted a study to evaluate the effectiveness of AI-based triage in head CT scans. Their investigation aimed to determine if this technology could enhance diagnostic accuracy and reduce reporting times.

Results:

• Diagnostic accuracy improves with AI assistance, especially for less experienced radiologists

• Among studies initially deemed healthy by a radiologist, 94.1% were truly healthy (negative predictive value; NPV) without AI support. With AI assistance, false-negative diagnoses decreased significantly, raising the NPV from 94.1% to 98.2%. Similarly, the positive predictive value (PPV) of abnormal studies rose from 99.3% to 100%. Near-perfect positive and negative predictive values were achievable with AI assistance. In addition, the study revealed a two-thirds reduction in false positive detections when AI-augmented radiological readings

• Radiologists achieve up to 25% faster reporting with AI support

• The research observed a 15.7% decrease in the time required for radiological interpretation when AI support was provided. Both experienced and inexperienced radiologists experienced time savings, particularly when reviewing regular scans. For inexperienced radiologists assessing routine scans, reporting times were reduced by 25.7%

Technology Insights

The deep learning segment dominated the AI in medical imaging market, accounting for the largest revenue share of 57.4% in 2025, owing to its ability to analyze complex medical images and provide accurate diagnostics. Deep learning algorithms, particularly convolutional neural networks (CNNs), have demonstrated enhanced performance in image recognition tasks, leading to their widespread adoption in medical imaging applications. For instance, in March 2025, NVIDIA and GE HealthCare collaborated to advance autonomous diagnostic imaging through Physical AI. This partnership focuses on developing autonomous X-ray and ultrasound technologies, utilizing the NVIDIA Isaac for Healthcare platform to simulate medical environments.

“We look forward to taking advantage of physical AI for autonomous imaging systems with NVIDIA technology to improve patient access and address the challenges of growing workloads and staffing shortages in healthcare.”

-Roland Rott, president and CEO of Imaging at GE HealthCare

The natural language processing (NLP) segment is expected to grow at the fastest CAGR over the forecast period. NLP technology utilizes a computer program that interprets and presents information in the current human language, encompassing text and images. Factors driving NLP are increased application in machine learning (ML) and artificial intelligence (AI). Integrating computer vision into NLP in healthcare is noteworthy, as it enables the processing and interpretation of complex medical images that can be challenging for humans to analyze accurately.

Application Insights

The neurology segment dominated the AI in medical imaging industry, accounting for the largest share of 37.0% in 2025, owing to the increased use of AI in neurology, which improves patient care and enables greater accuracy and efficiency. The use of AI for detecting neurological conditions holds great promise in addressing the ever-increasing imaging volumes and providing timely diagnoses. Moreover, adopting AI significantly improves the diagnosis and detection of brain tumors and other neurological cancers, offering high accuracy and consistency, thus driving the segment growth.

Studies show that optical imaging combined with deep convolutional neural networks accurately predicts brain tumors in less than 150 seconds, further boosting the adoption of AI solutions in medical imaging of neurological disorders.

The breast screening segment is expected to grow at the fastest CAGR over the forecast period. The increasing incidence of breast cancer cases and the growing patient preference for early-stage detection, enabling prompt and precise treatment initiation, are significant drivers propelling the demand for breast screening. Early detection is crucial to improving survival rates, and AI significantly enhances the accuracy and efficiency of screening.

Innovations in AI, particularly in machine learning and deep learning, have led to the developmentof sophisticated algorithms that analyze mammograms and other imaging modalities with high precision. These technologies will likely detect subtle signs of cancer that human radiologists may miss. For instance, in June 2025, Clairity, Inc. received U.S. FDA De Novo authorization for Clairity Breast, the first AI-enabled platform approved to predict a woman’s five-year breast cancer risk directly from routine screening mammograms.

Modality Insights

The CT scan segment dominated the market, accounting for the largest revenue share of 34.5% in 2025, due to its ability to provide detailed cross-sectional images of the body, making them indispensable in medical diagnostics. CT scans are widely used imaging modalities for diagnosing conditions such as cancers, cardiovascular diseases, trauma, and musculoskeletal disorders. AI algorithms automatically detect and quantify abnormalities in CT images, such as tumors, lesions, and fractures, reducing the workload on radiologists and increasing diagnostic accuracy. This is achieved by automating and optimizing data acquisition processes, including patient positioning and setting acquisition parameters. After the data collection phase, AI is crucial in optimizing image reconstruction parameters, implementing advanced reconstruction algorithms, and applying image denoising techniques.

These advancements collectively enhance image quality, mainly by reducing image noise, thereby allowing the use of lower radiation doses during data acquisition. The growth of this segment is also fueled by market initiatives, such as CGI's partnership with Planmeca and Helsinki University Hospital to develop an AI-powered solution for radiologists in May 2023.

The X-ray segment is anticipated to expand at the fastest CAGR over the forecast period. This rapid growth is attributed to several factors that highlight the critical role of X-ray imaging in healthcare and the transformative impact of AI technologies. The primary driver of this segment is the growing use of interventional X-ray equipment for imaging-guided surgeries, including C-arms and similar devices.

AI algorithms automatically detect fractures, infections, tumors, and other abnormalities in X-ray images, improving diagnostic accuracy and reducing the burden on radiologists. For instance, in March 2025, Gleamer received U.S. FDA clearance for ChestView, an AI-powered chest X-ray interpretation solution designed to detect multiple thoracic abnormalities on radiographs. The solution uses advanced AI algorithms to improve lesion detection, support radiologist workflow, and enhance diagnostic confidence, reinforcing the rapid growth of the X-ray modality segment through greater integration of AI into routine radiograph.

End-use Insights

The hospitals segment dominated the AI in medical imaging market with the largest share of 52.8% in 2025 and is expected to grow at the fastest CAGR over the forecast period. For instance, in May 2025, Asklepios announced the implementation of Aidoc’s aiOS clinical AI platform in over 25 hospitals throughout Germany, marking one of the nation’s most extensive radiology AI deployments. This platform enables real-time analysis of CT and X-ray scans to identify critical findings, with the goal of enhancing diagnostic efficiency and maximizing the use of hospital imaging resources. This move underscores the central role of hospitals as the main adopters of AI in medical imaging.

The growing adoption of AI in medical imaging solutions, especially for cancer diagnostics, is propelling the segment's growth. Furthermore, increasing partnerships and collaborations between hospitals and key market players to deploy AI in medical imaging solutions are expected to drive market growth over the forecast period. For instance, in March 2025, ConcertAI’s TeraRecon and 3DR Labs expanded their partnership to deliver advanced AI-enabled imaging and post-processing services for U.S. hospitals. 

“High-quality, outsourced 3D medical imaging services and AI-enabled insights enhance our ability to serve our hospital partners efficiently. By leveraging TeraRecon’s technology and partnering to offer AI as-a-service, we can scale our operations to meet increasing clinical needs while maintaining our commitment to exceptional quality and service.”

-Mike Jackman, CEO of 3DR Labs.

Regional Insights

The North America AI in medical imaging market dominated with the largest revenue share of 44.0% in 2025. The region's advanced healthcare infrastructure and significant investment in healthcare technology provide a solid foundation for integrating AI solutions. Extensive R&D activities, particularly in the U.S., foster innovation and the development of cutting-edge AI applications in medical imaging. In addition, the increasing prevalence of chronic diseases and the rising demand for early and accurate diagnosis fuel the need for advanced imaging technologies.

U.S. AI In Medical Imaging Market Trends

The U.S. AI in medical imaging market held the largest revenue share in 2025. This is attributed to the growing adoption of AI technologies for disease diagnosis and treatment in healthcare. This demand is driven by the potential for AI to enhance diagnostic accuracy and its ability to manage increasing workloads efficiently. For instance, in July 2025, Philips announced FDA 510(k) clearance for SmartSpeed Precise dual AI software for MRI, an AI-enabled image reconstruction solution designed to deliver up to 3x faster scans and up to 80% sharper images, improving radiology workflow efficiency.

Europe AI in Medical Imaging Market Trends

The Europe AI in medical imaging market is expected to grow significantly over the forecast period. Europe is home to numerous collaborative research projects and consortia, such as the European Organization for Nuclear Research (CERN) and various Horizon 2020 projects, which focus on advancing AI in medical imaging. The European Union's Medical Device Regulation (MDR) has set clear guidelines for the approval and use of AI in medical imaging, ensuring safety and efficacy. This regulatory environment encourages innovation and the adoption of AI technologies across Europe.

The UK AI in medical imaging market is expected to grow profitably over the forecast period. The UK government has been actively promoting the use of AI in healthcare through initiatives such as the AI Sector Deal and funding from Innovate UK. The National Health Service (NHS) is a significant player in adopting AI to improve diagnostic accuracy and operational efficiency. Strong collaboration between academic institutions and industry players, exemplified by partnerships between leading universities and tech companies, drives innovation in AI medical imaging.

The AI in medical imaging market in Germany held the largest revenue share of Europe in 2025, attributed to the increasing investments in healthcare technology and robust healthcare infrastructure, and the increasing adoption of artificial intelligence in disease diagnosis. Furthermore, increasing investments in medical imaging in the country propel market growth. For instance, in November 2024, German startup Mediaire raised USD 14.5 million in a European-led financing round to enhance radiologists' workflows using AI. The investment is expected to allow Mediaire to expand its AI solutions beyond brain, prostate, and knee diagnostics in MRI, improving diagnostic accuracy and efficiency in healthcare.

Asia Pacific AI in Medical Imaging Market Trends

The Asia Pacific AI in medical imaging market is expected to experience significant growth during the study period. This growth is attributed to the increasing investments in AI within the healthcare sector, enabling businesses to enhance their revenue share through AI-driven medical imaging. For example, China aims to lead the world in artificial intelligence by 2030, supported by substantial government funding and investments to accelerate the adoption of AI technologies across various industries.

The Japan AI in medical imaging market accounted for the largest revenue share in Asia Pacific in 2025. This can be attributed to the growing focus on technologies such as AI to improve diagnostic capabilities and manage healthcare demand. Key companies such as Fujifilm and Canon are leading the way in developing sophisticated AI algorithms for medical imaging. Japan's Pharmaceuticals and Medical Devices Agency (PMDA) supports AI innovations, streamlining approval processes for AI-based medical devices. The increasing number of startups in Japan launching novel AI-driven technologies in medical imaging is likely to propel market growth over the forecast period. For instance, in May 2024, NOVIUS, a healthcare startup, launched its innovative AI-driven technology, N-Vision 3D, which converts 2D imagery to 3D imagery in real time and enhances surgical procedures. N-Vision 3D has the potential to revolutionize imaging for X-ray fluoroscopy equipment, endoscopes, and angiography. Notable advancementsinclude the existing 2D endoscopes (monocular cameras) that can be used with N-Vision 3D without any modifications. 

The AI in medical imaging market in China is expected to grow at the fastest CAGR over the forecast period. Increasing government initiatives, rapidly growing healthcare infrastructure, and technological advancements drive market growth.

Latin America AI in Medical Imaging Market Trends

The Latin America AI in medical imaging market is anticipated to grow at a significant CAGR over the forecast period. This growth is attributed to the growing awareness about AI technologies, the rising prevalence of chronic diseases, increasing government spending, and growing advancements in healthcare infrastructure.

Middle East and Africa AI in Medical Imaging Market Trends

The Middle East and Africa AI in medical imaging market is expected to grow at a significant CAGR over the forecast period. The market is characterized by a dynamic landscape driven by the growing adoption of healthcare IT solutions, increasing healthcare expenditures, and supportive government policies. Significant integration of AI into healthcare technology across the region further contributes to market growth. For instance, Gulf Cooperation Council (GCC) countries such as the UAE and Saudi Arabia are heavily investing in healthcare innovation as part of their national strategies, including Saudi Vision 2030 and the UAE’s National AI Strategy. These policies emphasize the integration of AI into healthcare systems, including diagnostic imaging.

The UAE AI in medical imaging market is expected to grow rapidly over the forecast period, driven by continued government support and technological advancements. For instance, the UAE government's increasing focus on digital transformation, aligned with the UAE National Artificial Intelligence Strategy 2031, is a significant driver of the adoption of AI technologies, including medical imaging in healthcare.

Key AI In Medical Imaging Company Insights

Key players operating in the AI in medical imaging market are undertaking various initiatives to strengthen their market presence and increase the reach of their products and services. Strategies such as new product launches and partnerships are playing a key role in propelling the market growth.

Recent Developments

• In January 2026, Aidoc announced U.S. FDA clearance for its comprehensive foundation model AI for medical imaging, covering 11 new abdominal CT indications in a single workflow.

• In April 2025, Spark Radiology launched a cloud-based workflow platform for radiologists in India to streamline imaging operations and reporting. The platform integrates AI-powered tools for automated case triage, structured reporting, and collaboration, enhancing diagnostic accuracy and efficiency.

• In March 2025, Microsoft expanded its healthcare AI models portfolio at HIMSS, adding fine-tuning capabilities for MedImageInsight, a multimodal foundation model spanning 14 medical imaging modalities, alongside CXRReportGen for image-to-report generation.

• In February 2025, the Madras Medical Mission (MMM) in Chennai launched an AI-powered cardiac care center equipped with advanced imaging technologies, including a state-of-the-art cath lab offering AI-driven diagnostics for angioplasty and stenting. The AI algorithms enhance diagnosis accuracy by identifying angiogram blockages and abnormalities, improving treatment planning and patient outcomes. 

• In February 2025, Coreline Soft, a South Korean medical imaging AI company, launched in Australia through a partnership with ParagonCare to support major hospitals in the National Lung Cancer Screening Program.

• In January 2024, GE HealthCare announced an acquisition agreement with MIM Software from Cleveland, a global provider of medical imaging analysis and AI solutions in molecular radiotherapy, radiation oncology, urology, and diagnostic imaging. The acquisition aims to integrate MIM Software's imaging analytics and digital workflow capabilities across diverse care areas, enhancing innovation and distinguishing GE HealthCare's solutions to positively impact patients and healthcare systems globally.

• In November 2023, GE HealthCare announced its AI suite, MyBreastAI, at the RSNA 2023 conference. This innovative product helps streamline radiologists' workflows, offering them advanced tools to identify and diagnose breast cancer at earlier stages, ultimately improving patient outcomes.

• In November 2023, Brainomix, a company focused on developing AI-powered software solutions for precision medicine in stroke, lung fibrosis, and cancer, declared its ongoing expansion in the U.S.

• In October 2023, Koninklijke Philips N.V. introduced the new X-ray system, Philips Image Guided Therapy Mobile C-arm System 3000 (Zenition 30), which offers real-time image guidance for various clinical procedures, including orthopedics, trauma, spine interventions, pain management, and surgical processes, specifically designed for operating rooms.

AI In Medical Imaging Market Report Scope

Global AI In Medical Imaging Market Report Segmentation

This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global AI in medical imaging market report based on application, modality, technology, end-use, and region:

• Technology Outlook (Revenue, USD Million, 2021 - 2033)

  • Deep Learning

  • Natural Language Processing (NLP)

  • Others

• Application Outlook (Revenue, USD Million, 2021 - 2033)

  • Neurology

  • Respiratory and Pulmonary

  • Cardiology

  • Breast Screening

  • Orthopedics

  • Others

• Modality Outlook (Revenue, USD Million, 2021 - 2033)

  • CT Scan

  • MRI

  • X-rays

  • Ultrasound

  • Nuclear Imaging

• End-use Outlook (Revenue, USD Million, 2021 - 2033)

  • Hospitals

  • Diagnostic Imaging Centers

  • Others

• Regional Outlook (Revenue, USD Million, 2021 - 2033)

  • North America

    • U.S.

    • Canada

    • Mexico

  • Europe

    • Germany

    • UK

    • France

    • Italy

    • Spain

    • Denmark

    • Sweden

    • Norway

  • Asia Pacific

    • China

    • Japan

    • India

    • South Korea

    • Australia

    • Thailand

  • Latin America

    • Brazil

    • Argentina

  • MEA

    • South Africa

    • Saudi Arabia

    • UAE

    • Kuwait