Global AI in Medical Imaging Market Size Likely to Grow at a CAGR of 20.9% By 2035

The global AI in medical imaging market size was estimated at USD 3.5 billion in 2026 and will grow with a CAGR of 20.9% from 2026 to 2035, reaching USD 19.4 billion by 2035.

Global AI in Medical Imaging Market Revenue and Trends

AI in medical imaging includes AI solutions that utilize medical imaging technologies (x-rays, CT, MRIs, ultrasounds, and mammograms) for medical image detection, diagnosis, segmentation, quantification, and predictive analytics in the fields of radiology, cardiology, oncology, neurology, and other specialties around the globe. These technologies enhance diagnostic accuracy, decrease radiologist workload, allow earlier detection of disease and facilitate personalized treatment planning. AI in medical imaging is poised for rapid growth, fueled by the growing volume of medical imaging data and the increasing demand for faster and more accurate diagnoses, as well as improvements in deep learning algorithms, widespread adoption of digital health technologies, and supportive regulatory approvals for AI-powered tools across the globe.

What are the Factors That Have a Significant Contribution to the Growth of the global AI in medical imaging market?

The growing lack of radiologists, high imaging volume, and requirement for rapid clinical decision-making drives the adoption as the intelligent diagnostic tool has been emerged as a crucial solution to meet these requirements. Global burden of chronic diseases and the increasing demand towards precision medicine have contributed to the surge in demand for the intelligent diagnostic tool as a vital solution to address the shortage of radiologists, high imaging volume and the need for quicker clinical decision-making. The market is expected to gain from the regular adoption for higher detection rates of cancer, cardiovascular diseases, and neurological diseases, as per the reports from the industry. With a strong focus on efficiency and precision, healthcare providers are looking for AI technologies that can augment their capabilities and enhance patient care. Healthcare providers are on a mission for efficiency and precision, turning to advanced AI solutions to complement their current capabilities and work towards improved patient outcomes.

Technological innovations have led to multi-modal AI models, better explainability capabilities, cloud-based deployment, and PACS and RIS integration to boost performance, workflow efficiency and clinical trust. Other factors contributing to the rising interest in this area are increased awareness and pursuit of early diagnosis and prevention, greater availability of AI solutions in new healthcare markets, and emerging country initiatives and investments in digital transformation and medical AI in both developed and emerging markets.

Opportunities Impact Analysis

Challenges Impact Analysis

Segment Insight

By Product Type

As of 2025, the diagnostic AI software segment continues to lead the global AI in medical imaging market, given its capacity to identify abnormalities, offer quantitative analysis and aid in differential diagnosis across various modalities. The solutions are proving to be vital for radiology departments looking to improve accuracy and productivity, and are seeing strong growth from advancements in deep learning models trained on large sets of data that boost sensitivity and specificity (which radiologists and healthcare administrators, generally, say is a major factor in reducing diagnostic error and optimizing workflow in high-volume imaging settings).

By Distribution Channel

Direct sales to hospitals and diagnostic centers and cloud-based SaaS platforms are the top two software deployment channels and are the main platforms for software integration support, training, and subscription access. For healthcare providers overseeing large-scale imaging workflows, these channels offer a seamless integration with PACS, continuous updates, and technical support making them the go-to choice for institutions prioritizing digital transformation and AI-driven diagnostics.

Regional Insights

The medical imaging segment in North America is projected to grow at a CAGR of 16.7% over the forecast period, primarily because of the advanced healthcare infrastructure, a high rate of adoption of digital imaging and AI technologies, the number of leading medical AI developers, and the regulatory support for medical AI. The area enjoys robust investment in health tech, positive reimbursement progress, and ongoing clinical integration activity to sustain market stability and demand.

On the other hand, Asia Pacific region is seeing the highest growth in the global AI in medical imaging market due to the swift digital health transformation, expanding medical imaging infrastructure, increasing healthcare expenditure, and rising AI talent pool. The rise of imaging solutions enabled by AI is observed in countries such as China, India, and Japan, driven by government digital health initiatives, a larger patient population, and local innovation in the field of AI. Sophisticated diagnostics and a high prevalence of chronic diseases are also driving more growth in the region.

Report Scope

Recent Developments

• In 2025: Siemens Healthineers added to its AI-Rad Companion product line with new artificial intelligence (AI) solutions for chest computed tomography (CT) and magnetic resonance imaging (MRI) analysis to deliver more precise diagnosis and workflow efficiency to radiologists worldwide.

List of the prominent players in the AI in Medical Imaging Market:

• GE HealthCare Technologies Inc.

• Siemens Healthineers AG

• Koninklijke Philips N.V.

• Canon Medical Systems Corporation

• Aidoc Medical Ltd.

• Viz.ai Inc.

• HeartFlow Inc.

• Butterfly Network Inc.

• Qure.ai Technologies Pvt. Ltd.

• RadNet Inc.

• Others

The AI in Medical Imaging Market is segmented as follows:

By Component

• Software

• Hardware

• Services

By Technology

• Deep Learning

o   Convolutional Neural Networks

o   Transformer-Based Vision Models

• Machine Learning (Non-Deep-Learning)

• Natural Language Processing

o   Radiology Report Structuring

• Others (Computer Vision, Predictive Analytics)

By Modality

• CT

• MRI

• X-ray

• Ultrasound

o   Point-of-Care Ultrasound

o   Echocardiography

• Mammography

• Others (PET, Nuclear Imaging, Endoscopy)

By Application

• Oncology

o   Tumor Detection & Characterization

o   Treatment Response Monitoring

• Neurology

o   Stroke & Large-Vessel-Occlusion Detection

o   Neurodegenerative Disease Assessment

• Cardiology

o   Cardiac CT & MRI Quantification

o   Coronary Calcium & Plaque Scoring

• Pulmonology

o   Lung Nodule Detection & Follow-Up

• Orthopedics

• Others (Abdominal, Musculoskeletal, Pediatric)

By End Use

• Hospitals

o   Academic & Tertiary Care Hospitals

o   Community Hospitals

• Diagnostic Imaging Centers

• Ambulatory Surgical Centers

• Others (Research & Academic Institutions)

Regional Coverage:

North America

• U.S.

• Canada

• Mexico

• Rest of North America 

Europe

• Germany

• France

• U.K.

• Russia

• Italy

• Spain

• Netherlands

• Rest of Europe

Asia Pacific

• China

• Japan

• India

• New Zealand

• Australia

• South Korea

• Taiwan

• Rest of Asia Pacific 

The Middle East & Africa

• Saudi Arabia

• UAE

• Egypt

• Kuwait

• South Africa

• Rest of the Middle East & Africa

Latin America

• Brazil

• Argentina

• Rest of Latin America