AI-Based Medical Imaging Market Size & Share Analysis - Trends, Drivers, Competitive Landscape, and Forecasts (2025 - 2032)

AI-Based Medical Imaging Market Growth Factors

Technological Advancements in the Healthcare Sector Boost the Market

• Digitization and new technological developments in the healthcare sector play a major role in the market growth.
• The most prominent advancement in the sector is AI in technologies, such as medical imaging, which are used for early detection of diseases, better diagnosis, and patient-specific treatments.
• AI has extensive applications in the field of medical imaging, due to its accuracy, reliability, and sensitivity in identifying abnormalities.
• Moreover, the ongoing advancements in imaging technologies, such as computer-aided diagnostics, are another factor responsible for the speedy growth of the industry.

Rising Preference of Doctors for AI-based Assistance

• As per an article by the Economic Times, the Indian healthcare and pharma industry has witnessed a high adoption of AI, with over 50% of these companies using these solutions in 2024.
• This demonstrates the increasing dependence on AI, especially in medical imaging for accurate diagnoses.
• This is because AI-based equipment increases the precision of MRIs, CTs, and X-rays, facilitating early diagnoses and targeted therapies.
• The growing awareness of the benefits of AI techniques and their broad application areas has resulted in the high implementation of AI in the medical diagnostic sector.
• AI has proven to be accurate in the detection of anomalies in medical images, promising better detection and analysis of tissues.
• Several market players are partnering or collaborating to offer the most prominent technologies to their consumers in the field of healthcare.
• These AI in medical technologies significantly aid clinicians and doctors in their decision-making concerning diagnosis and treatment.
• Thus, doctors are inclined to adopt these cost-effective, near-to-accurate, and safe solutions over traditional ones, which, in turn, boosts the market growth.
• Apollo Hospitals has developed the Clinical Intelligence Engine (CIE), which analyzes imaging and conducts diagnostic activities using AI and ML capabilities and assists with primary care and treatment planning.
• In February 2024, AIIMS Delhi and the Centre for Development of Advanced Computing (C-DAC), Pune, inaugurated iOncology.ai for the early diagnosis of breast and ovarian cancers.
• The Indian Council of Medical Research has published Ethical Guidelines for Application of Artificial Intelligence in Biomedical Research and Healthcare.

High Cost of AI-Based Medical Imaging Hinders Market Growth

• The AI-based medical imaging market witnesses several constraints, primarily the high development, implementation, and maintenance expenses, which limit adoption, especially in smaller hospitals, clinics, and low-income areas.
• The financial burden of the acquisition of software and its integration with current systems, upgrade of infrastructure, and training staff is rather high.
• Smaller health service providers struggle to offset the returns on investments, considering the time, expertise, and costs required for effective AI implementation.
• These expenses are usually added in the form of regular updates, licensing fees, and vendor support services.
• All these expenses consequently lead to an unequal access to state-of-the-art medical facilities, which keeps this technology from being adopted on a large scale.

AI-Based Medical Imaging Market Segmentation Analysis

Modality Analysis

Computed tomography (CT) holds the largest market share of around 70% in 2024 and the category is expected to maintain its leading position in the forecast period as well. This is attributed to the rising incidence of numerous chronic diseases such as cancer and cardiovascular conditions as well as the increasing need for AI-integrated advanced imaging solutions. Moreover, the AI-based medical imaging market growth in this category is also driven by the significant investment specifically for the development of AI-enabled solutions, the vast population affected by cancer and other chronic diseases, and the large number of small and key players that provide a wide range of AI in CT imaging diagnostic solutions.

The magnetic resonance imaging (MRI) category is projected to be the fastest-growing category during 2025–2032. This growth can be attributed to the rising usage of AI in techniques to measure the structure and function of the heart, which helps cardiologists provide appropriate patient care and treatment. In addition, several market giants and small vendors are engaged in developing AI-based medical imaging solutions associated with MRI, which also fuels the overall market growth in this category.

The modalities analyzed here are:

• CT (Largest Category)
• MRI (Fastest-Growing Category)
• X-Ray
• Ultrasound
• Nuclear Imaging
• Others

Technology Analysis

Deep learning technology accounts for the larger market share of around 40% in 2024 and the category is also expected to be the fastest-growing category during the forecast period. This is due to its excellent extraction capabilities and its high usage in identifying and distinguishing bacterial and viral pneumonia on pediatric chest radiographs. Deep learning models generalize well across many datasets, thus exhibiting high robustness. They also reduce the reliance on manual feature extraction, streamlining the process for radiologists.

Moreover, their ability to facilitate real-time analysis enables doctors to make quicker decisions about patients, which, in turn, improves outcomes and healthcare delivery. Strokes, edema, blockages in blood vessels, tumors, orthopedic conditions, and many other diseases can be detected by AI-driven medical imaging. Such technology enables doctors to identify normal and abnormal patient data, thus accurately detecting disease and better planning therapies for future health conditions.

The technologies analyzed here are:

• Deep Learning (Largest and Fastest-Growing Category)
• Natural Language Processing (NLP)
• Others

End User Analysis

The hospitals category dominates the market in 2024. This is attributed to the omnipresence, easy accessibility, and preference of hospitals over other medical centers or facilities. In addition, reimbursement policies are one of the major factors behind the dominance of the category in the market.

The diagnostic imaging centers category is expected to record the fastest growth during the forecast period. This can be because these centers have advanced equipment for performing MRIs or CT scans at lower costs than hospitals. Also, the rising awareness among patients and the increasing demand for diagnostic procedures or tests in these centers will propel the AI-based medical imaging market in this category in the coming years. 

The end users analyzed here are:

• Hospitals (Largest Category)
• Diagnostic Imaging Centers (Fastest-Growing Category)
• Others

Application Analysis

Neurology accounts for the major market share of about 25% in 2024 and it is also the fastest-growing category. This is ascribed to a large number of vendors engaged in the development of AI-based medical imaging technologies and devices for neurological diseases, whose prevalence is high across the world, and high medical imaging data in this area.

Techniques such as MRI, functional MRI (fMRI), positron emission tomography (PET), and electroencephalography signals (EEG) provide information concerning brain structure, function, and intricacies. AI plays a vital role in analyzing this complex data, by combining deep learning with advanced algorithms. This improves the detection and classification of brain tumors and also helps in better patient outcomes.

The applications analyzed here are:

• Neurology (Largest and Fastest Growing Category)
• Pulmonology
• Cardiology
• Orthopedics
• Others

AI-Based Medical Imaging Market Regional Outlook

North America’s AI-based medical imaging market holds the largest revenue share, and it is expected to maintain the same trend in the coming years. This is attributed to the high adoption of advanced technologies in the healthcare sector and the presence of major market players in the region. Moreover, the rise in partnerships and collaborations among vendors, the significant role of research institutions in the development of AI-based medical imaging solutions, and the high investments in R&D and healthcare drive regional market growth.

In North America, the U.S. leads the market, due to the well-established healthcare system, the presence of a large number of local and international players, and the improved reimbursement policies in the country.

The APAC market is expected to witness the highest growth rate during the forecast period. This exponential growth can be attributed to the growing aging population, surging demand for healthcare services, and increasing investments or funding by various government and private players in the region. Moreover, emerging economies such as China and India are emphasizing improving their AI investments, which will assist companies in integrating AI with medical imaging to massively increase their revenue share.

In India, the Government of Maharashtra and NITI Aayog have established the International Centre for Transformational Artificial Intelligence (ICTAI) to ensure rural areas are connected to advanced healthcare technologies, such as machine learning and deep learning.

The geographical breakdown of the market is as follows:

• North America (Largest Regional Market)
  • U.S. (Larger Country Market)
  • Canada (Faster-Growing Country Market)
• Europe
  • Germany (Largest Country Market)
  • Spain
  • Italy
  • France
  • U.K. (Fastest-Growing Country Market)
  • Rest of Europe
• Asia-Pacific (APAC) (Fastest-Growing Regional Market)
  • China (Largest Country Market)
  • India (Fastest-Growing Country Market)
  • South Korea
  • Japan
  • Australia
  • Rest of APAC
• Latin America (LATAM)
  • Brazil (Largest and Fastest-Growing Country Market)
  • Mexico
  • Rest of LATAM
• Middle East and Africa (MEA)
  • South Africa (Largest Country Market)
  • U.A.E. (Fastest-Growing Country Market)
  • Saudi Arabia
  • Rest of MEA

AI-Based Medical Imaging Market Share

This market is consolidated in nature, as the integration of AI solutions for medical imaging requires considerable investment in research, development, and technology, therefore limiting the number of players. The larger firms dominate the market because they have enough resources and money to invest in cutting-edge AI algorithms and clinical validation. Moreover, they can better offer an all-inclusive, fully integrated AI system to support diagnosis and workflow, which hospitals and diagnostic imaging centers prefer.

GE Healthcare, Canon Medical Systems, and Siemens Healthineers also acquire smaller startups and partner with tech firms to expand their AI capacities and portfolio, while consolidating dominance over the market. Additionally, the stringent regulations for the healthcare sector, such as those required for obtaining FDA and Conformité Européenne (CE) approvals, make the entry of new firms difficult. Large corporations have a dedicated regulatory team and experience with stringent approval processes.

AI-Based Medical Imaging Market News

• In May 2024, Canon Medical Systems installed the Aquilion Serve SP CT scanner, which features INSTINX AI-driven workflow automation, at Steinberg Diagnostic Medical Imaging center in Las Vegas. This advanced CT scanner provides high-quality imaging, fast scan planning, and personalized low-dose radiation, thereby improving efficiency, patient comfort, and diagnostic confidence through intelligent protocols and optimized workflows.
• In January 2024, GE HealthCare entered into an agreement to acquire MIM Software, a global provider of AI-enabled imaging and workflow solutions for urology, oncology, cardiology, and neurology. The acquisition allows GE to improve digital workflows, AI-based segmentation, and dosimetry analysis across radiology, molecular imaging, and radiation oncology.
• In November 2023, GE HealthCare unveiled MyBreastAI Suite, an AI platform, to aid in the detection of breast cancer and optimization of the workflow. With iCAD's ProFound AI for DBT, SecondLook for 2D mammography, and PowerLook density assessment, the suite helps in the early detection of cancers, while streamlining the processing of breast density assessments. This is done through improving radiologist productivity and managing issues related to burnout and patient backlogs around the world.