Global AI In Medical Imaging Market Size, Share, and COVID-19 Impact Analysis, By Technology (Deep Learning, Natural Language Processing (NLP), and Others), By Application (Neurology, Respiratory and Pulmonary, Cardiology, Breast Screening, Orthopedics, and Others), By Modalities (CT Scan, MRI, X-rays, Ultrasound, and Nuclear Imaging), By End Use (Hospitals, Diagnostic Imaging Centers, and Others), and By Region (North America, Europe, Asia-Pacific, Latin America, Middle East, and Africa), Analysis and Forecast 2025 - 2035

Global AI In Medical Imaging Market Insights Forecasts to 2035

• The Global AI In Medical Imaging Market Size Was Estimated at USD 1.32 Billion in 2024
• The Market Size is Expected to Grow at a CAGR of around 27.16% from 2025 to 2035
• The Worldwide AI In Medical Imaging Market Size is Expected to Reach USD 18.56 Billion by 2035
• Asia Pacific is Expected to Grow the fastest during the forecast period.

The Global AI In Medical Imaging Market Size was Worth around USD 1.32 Billion in 2024 and is predicted to Grow to around USD 18.56 Billion by 2035 with a compound annual growth rate (CAGR) of 27.16% from 2025 to 2035. The market growth is boosted by AI, which is rapidly transforming medical imaging by enhancing diagnostic accuracy, enabling remote access, and streamlining workflows through advanced technologies and cloud integration. Strong investments and global support are paving the way for its widespread adoption and future growth.

Market Overview 

The AI In The Medical Imaging Market Size refers to the analysis of medical images from CT, MRI, ultrasound, and X-rays using sophisticated machine learning techniques and deep learning models. By quickly and accurately finding patterns, detecting anomalies, and offering diagnostic insights, this technology improves picture interpretation. More precise, timely, and individualized patient treatment is made possible by AI in medical imaging, which promotes early disease diagnosis, lowers diagnostic errors, and enhances clinical processes.

Medical imaging using artificial intelligence (AI) is quickly revolutionizing healthcare by increasing early disease diagnosis, diagnostic efficiency, and accuracy. Market expansion is being driven by rising R&D expenditures as well as expanding adoption following COVID-19. Cutting-edge AI methods like GANs and deep learning are improving image quality and lowering radiation exposure. The demand is also being driven by the aging population and rising healthcare costs. With the use of AI-based improvements, CT imaging is becoming increasingly important in the detection of serious diseases like cancer. All things considered, the use of AI in imaging is changing clinical procedures and enhancing patient results.

Report Coverage

This research report categorizes the AI in medical imaging market based on various segments and regions, forecasts revenue growth, and analyzes trends in each submarket. The report analyses the key growth drivers, opportunities, and challenges influencing the AI in medical imaging market. Recent market developments and competitive strategies such as expansion, type launch, development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key market players and analyses their core competencies in each sub-segment of the AI in medical imaging market.

Driving Factors

The AI can handle complicated information, improve diagnosis accuracy, and facilitate remote diagnostics, its incorporation in medical imaging is growing faster. The market demand is further increased by the lack of qualified radiologists and the growing use of telemedicine. PACS integration and cloud-based technologies are simplifying processes and facilitating safe, remote access.  Innovation and adoption are being stimulated by financial investments from the public and commercial sectors. Deep learning and GANs are two examples of advanced AI technologies that are greatly enhancing imaging results. AI has the potential to completely transform medical imaging in the future thanks to international initiatives and expanding regulatory support.

Restraining Factors

The market growth is hindered by the AI has a lot to offer in terms of diagnosis and treatment, many medical professionals are still wary because they fear losing their jobs, the accuracy of their diagnoses, and the human element in patient care. Doubts about AI's dependability and affordability are another source of skepticism. Perceptions are changing, though, as more people become aware of AI's beneficial function. Healthcare workers are probably going to be more receptive to AI-powered solutions in the future.

Market Segmentation

The AI in medical imaging market share is classified into technology, application, modalities, and end use.

• The deep learning segment held the largest share in 2024 and is anticipated to grow at a significant CAGR during the forecast period.

Based on the technology, the AI in medical imaging market is classified into deep learning, natural language processing (NLP), and others. Among these, the deep learning segment held the largest share in 2024 and is anticipated to grow at a significant CAGR during the forecast period. The segmental growth can be attributed to the AI is becoming more and more popular in diagnostics due to its high level of precision in analyzing complex medical images. CNNs and other sophisticated deep learning models are showing promise in enhancing picture interpretation. Innovation in autonomous imaging technology is being accelerated by partnerships like the one between GE HealthCare and NVIDIA.

• The neurology segment dominated the market in 2024 and is projected to grow at a substantial CAGR during the forecast period.

Based on the application, the AI in medical imaging market is divided into neurology, respiratory and pulmonary, cardiology, breast screening, orthopedics, and others. Among these, the neurology segment dominated the market in 2024 and is projected to grow at a substantial CAGR during the forecast period. The growth is driven by the increasing application of AI in neurology, which improves patient care and permits more precision and effectiveness. With ever-increasing image volumes, the use of AI in neurological disease detection holds enormous promise for prompt diagnosis. Additionally, implementing AI promotes the growth of the market by providing high accuracy and consistency in the diagnosis and detection of brain tumors and other neurological cancers.

• The CT scans segment held the largest share in 2024 and is anticipated to grow at a significant CAGR during the forecast period.

Based on the modalities, the AI in medical imaging market is classified into CT scans, MRI, X-rays, ultrasound, and nuclear imaging. Among these, the CT scan segment held the largest share in 2024 and is anticipated to grow at a significant CAGR during the forecast period. The segmental growth can be attributed to the CT scans provide comprehensive cross-sectional images, which are essential for identifying a variety of medical disorders. By automating image acquisition and refining reconstruction methods, AI improves this process. It lessens radiologists' burden while increasing diagnosis accuracy.  AI-integrated CT imaging is therefore becoming indispensable in contemporary diagnoses.

• The hospitals segment held the largest share in 2024 and is anticipated to grow at a significant CAGR during the forecast period.

Based on the end use, the AI in medical imaging market is classified into hospitals, diagnostic imaging centers, and others. Among these, the hospitals segment held the largest share in 2024 and is anticipated to grow at a significant CAGR during the forecast period. The segmental growth can be attributed to approximately one-third of hospitals and imaging centers that report utilizing AI, machine learning (ML), or deep learning to assist with tasks related to patient care imaging, according to the Definitive Healthcare 2020 survey. The availability of state-of-the-art medical imaging equipment in hospitals with strong infrastructure is another factor contributing to the segment's growth.

Regional Segment Analysis of the AI In Medical Imaging Market

• North America (U.S., Canada, Mexico) 
• Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
• Asia-Pacific (China, Japan, India, Rest of APAC)
• South America (Brazil and the Rest of South America) 
• The Middle East and Africa (UAE, South Africa, Rest of MEA)

North America is anticipated to hold the largest share of the AI in medical imaging market over the predicted timeframe.

North America is anticipated to hold the largest share of the AI in medical imaging market over the predicted timeframe. The regional growth can be attributed to a strong basis for incorporating AI solutions is provided by the region's sophisticated healthcare infrastructure and large investments in medical technology. Innovation and the creation of state-of-the-art AI applications in medical imaging are encouraged by extensive R&D initiatives, especially in the United States. Furthermore, the need for sophisticated imaging technologies is fueled by the rising incidence of chronic illnesses and the growing need for prompt and precise diagnosis.

Asia Pacific is expected to grow at a rapid CAGR in the AI in medical imaging market during the forecast period. The region's growth is being driven by improved government policies, growing healthcare demands, and sophisticated infrastructure. Leading nations that are using AI to improve diagnostic efficiency and accuracy include China, India, and Australia. This pattern reflects a global movement toward more intelligent, technologically advanced healthcare systems.

Competitive Analysis:

The report offers the appropriate analysis of the key organizations/companies involved within the AI in medical imaging market, along with a comparative evaluation primarily based on their type of offering, business overviews, geographic presence, enterprise strategies, segment market share, and SWOT analysis. The report also provides an elaborative analysis focusing on the current news and developments of the companies, which includes type development, innovations, joint ventures, partnerships, mergers & acquisitions, strategic alliances, and others. This allows for the evaluation of the overall competition within the market.

List of Key Companies

• GE HealthCare
• Nano-X Imaging Ltd.
• Microsoft
• Exo Imaging, Inc
• Digital Diagnostics Inc.
• HeartVista Inc.
• TEMPUS
• Viz.ai, Inc.
• Butterfly Network, Inc.
• Canon Medical Systems USA, Inc.
• Advanced Micro Devices, Inc.
• Enlitic, Inc.
• HeartFlow, Inc.
• IBM
• Others

Key Target Audience

• Market Players
• Investors
• End-users
• Government Authorities 
• Consulting And Research Firm
• Venture capitalists
• Value-Added Resellers (VARs) 

Recent Development

• In April 2025, Spark Radiology launched a cloud-based workflow tool for radiologists in India that streamlines imaging operations and reporting. The platform includes AI-powered capabilities for automated case triage, structured reporting, and collaboration, which improve diagnostic accuracy and efficiency.

• In February 2025, Coreline Soft, a South Korean medical imaging AI business, launched in Australia in collaboration with ParagonCare to help major hospitals in the National Lung Cancer Screening Programme.

Market Segment

This study forecasts revenue at global, regional, and country levels from 2020 to 2035. Spherical Insights has segmented the AI in medical imaging market based on the below-mentioned segments: 

Global AI In Medical Imaging Market, By Technology

• Deep Learning
• Natural Language Processing (NLP)
• Others

Global AI In Medical Imaging Market, By Application

• Neurology
• Respiratory and Pulmonary
• Cardiology
• Breast Screening
• Orthopedics
• Others

Global AI In Medical Imaging Market, By Modalities

• CT Scan
• MRI
• X-rays
• Ultrasound
• Nuclear Imaging

Global AI In Medical Imaging Market, By End Use

• Hospitals
• Diagnostic Imaging Centers
• Others

Global AI In Medical Imaging Market, By Regional Analysis

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Russia
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Rest of Asia Pacific
• South America
  • Brazil
  • Argentina
  • Rest of South America
• Middle East & Africa
  • UAE
  • Saudi Arabia
  • Qatar
  • South Africa
  • Rest of the Middle East & Africa