Artificial Intelligence (AI) In Medical Imaging Global Market Opportunities And Strategies To 2035
By Technology (Deep Learning, Natural Language Processing (NLP), Machine Learning, Computer Vision Techniques, Other AI Technologies), By Solution (Software Tools, Services), By Modality (Computed Tomography (CT) Scan, Magnetic Resonance Imaging (MRI), X-Rays, Ultrasound, Nuclear Imaging, Other Modalities), By Application (Digital Pathology, Oncology, Cardiovascular, Neurology, Lung (Respiratory System), Breast (Mammography), Liver (GI), Oral Diagnostics, Other Applications), By End User (Hospitals, Diagnostic Imaging Centers, Other End-Users), And By Region, Opportunities And Strategies – Global Forecast To 2035
artificial intelligence (AI) in medical imaging Market Definition
Artificial Intelligence (AI) in medical imaging refers to the use of advanced computational algorithms and intelligent systems to analyze medical images and assist healthcare professionals in diagnosing, monitoring, and treating diseases. Medical imaging technologies such as computed tomography (CT), magnetic resonance imaging (MRI), X-ray, ultrasound, and nuclear imaging generate large volumes of visual data that require accurate interpretation. AI technologies, including machine learning, deep learning, natural language processing and computer vision, are increasingly integrated into imaging workflows to automate image analysis, detect abnormalities, improve diagnostic accuracy, and enhance clinical decision-making. The artificial intelligence in medical imaging market consists of sales of AI in medical imaging by entities (organizations, sole traders and partnerships) that is used by radiologists, pathologists, clinicians, imaging technicians, and healthcare institutions to improve diagnostic efficiency, reduce human error, and enable earlier detection of diseases. AI in medical imaging is commonly used in hospitals, diagnostic imaging centers, research laboratories, and specialty clinics where imaging procedures are performed regularly as part of patient care.
artificial intelligence (AI) in medical imaging Market Size
The global mRNA therapeutics CDMO market reached a value of nearly $4,741.1 million in $3,098.0 million in 2025, having grown at a compound annual growth rate (CAGR) of 37.1% since 2020. The market is expected to grow from $3,098.0 million in 2025 to $13,225.9 million in 2030 at a rate of 33.7%. The market is then expected to grow at a CAGR of 31.2% from 2029 and reach $51,476.7 million in 2035. Growth in the historic period resulted from the rising trauma and road-traffic accident rates, rising adoption of telemedicine and teleradiology, rising global imaging volumes and growing volume of screening and preventive programs. Factors that negatively affected growth in the historic period were data privacy concerns and stringent regulatory approvals. Going forward, rising geriatric population, increasing prevalence of chronic and lifestyle-related diseases, increasing adoption of AI in government-funded healthcare programs and increasing number of diagnostic and outpatient imaging centers will drive the growth. Factors that could hinder the growth of the artificial intelligence in medical imaging market in the future include high costs of ai integration, limited availability of skilled radiologists and impact of trade war and tariff.
Artificial Intelligence (AI) In Medical Imaging Market Segmentation
The artificial intelligence (AI) in medical imaging market is segmented by technology, by solution, by modality, by application and by end user.
By Technology –
The artificial intelligence (AI) in medical imaging market is segmented by technology into:
By Solution –
The artificial intelligence (AI) in medical imaging market is segmented by solution into:
By Modality –
The artificial intelligence (AI) in medical imaging market is segmented by modality into:
By Application –
The artificial intelligence (AI) in medical imaging market is segmented by application into:
By End User –
The artificial intelligence (AI) in medical imaging market is segmented by end user into:
By Geography - The artificial intelligence (AI) in medical imaging market is segmented by geography into:
By Technology –
The artificial intelligence (AI) in medical imaging market is segmented by technology into:
- a) Deep Learning
- b) Natural Language Processing (NLP)
- c) Machine Learning
- d) Computer Vision Techniques
- e) Other Ai Technologies
By Solution –
The artificial intelligence (AI) in medical imaging market is segmented by solution into:
- a) Software Tools
- b) Services
By Modality –
The artificial intelligence (AI) in medical imaging market is segmented by modality into:
- a) Computed Tomography (CT) Scan
- b) Magnetic Resonance Imaging (MRI)
- c) X-Rays
- d) Ultrasound
- e) Nuclear Imaging
- f) Other Modalities
By Application –
The artificial intelligence (AI) in medical imaging market is segmented by application into:
- a) Digital Pathology
- b) Oncology
- c) Cardiovascular
- d) Neurology
- e) Lung (Respiratory System)
- f) Breast (Mammography)
- g) Liver (Gi)
- h) Oral Diagnostics
- i) Other Applications
By End User –
The artificial intelligence (AI) in medical imaging market is segmented by end user into:
- a) Hospitals
- b) Diagnostic Imaging Centers
- c) Other End-Users
By Geography - The artificial intelligence (AI) in medical imaging market is segmented by geography into:
- China
- India
- Japan
- Australia
- Indonesia
- South Korea
- USA
- Canada
- Brazil
- France
- Germany
- UK
- Italy
- Spain
- Russia
-
o Asia Pacific
o Africa