AI in Medical Imaging Market Size Projected to Reach USD

Published 3 months ago• 8 minute read

Ottawa, Feb. 13, 2025 (GLOBE NEWSWIRE) -- In terms of revenue, the global is predicted to increase from USD 1.67 billion in 2025 to approximately USD 12.69 billion by 2033, According to Precedence Research.

The global medical imaging market surpassed USD 49.61 billion in 2024 and is estimated to be worth around USD 80.52 billion by 2034, growing at a CAGR of 4.96% from 2024 to 2034.

In terms of CAGR, The global AI in medical imaging market is poised to grow at a CAGR of 27.10% from 2025 to 2034, On the other hand, the is expected to grow at 4.96% from 2024 to 2034.

Various applications of AI in AI in medical imaging market, such as improving image quality, data analysis, image analysis, prediction based on collected data, etc, are promoting growth.

The rising investments and fundings from various investors and governments, growing strategic alliances between pharmaceutical and technological companies, advancements in implementing AI for medical imaging and growing expenditure in healthcare settings for adopting advanced imaging techniques are the factors driving the growth of the AI in medical imaging market.


Hospitals and Clinics	489.13	633.10	826.76
Research Laboratories and Diagnostic Centres	171.18	219.75	284.61
Others	102.53	129.31	164.49


Digital Pathology	96.04	123.27	159.64
Oncology	85.29	110.15	143.53
Cardiovascular	82.69	106.22	137.67
Neurology	158.98	205.79	268.76
Lungs (Respiratory System)	64.23	83.12	108.51
Breast (Mammography)	139.37	180.94	236.99
Liver (GI)	54.85	70.36	91.06
Oral Diagnostics	31.73	40.44	51.99
Others (Pediatric ailments, Orthopedics, etc.)	49.66	61.88	77.70

A new age of healthcare opportunities has been brought about by developments in and medical imaging further enhancing medical practice and patient care. The rising investments in R&D activities for potential applications of AI in , increased focus on tissue-based detection with improved sensitivity for detecting imaging abnormalities, growing demand for faster and accurate imaging techniques, surge in strategic alliances among companies for advancing medical imaging, support from government bodies and rising public awareness for preventive care are driving the growth of the AI in medical imaging market. The AI-based image processing also makes customized treatment plans easier, which improves the way healthcare is delivered.


CAGR from 2025 to 2034	27.10%
Market Size in 2024	USD 1.28 Billion
Market Size by 2034	USD 14.46 Billion
Historic Period	2020 to 2023
Base Year	2024
Forecast Period	2025 to 2034
Segments Covered	Solution, Modality, Image Acquisition Technology, Application, End Use, and Regions
Regions Covered	North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa

The was estimated at USD 223.80 million in 2024 and is anticipated to reach USD 2,795.76 million by 2034, with a CAGR of 28.30% from 2025 to 2034.

North America held the largest global share of the AI in medical imaging market in 2024. The extensive adoption of modern medical technology is made possible by the region's robust economic conditions and high healthcare spending. There are several well-known Al businesses and startups in the U.S. that specialize in medical imaging applications. For instance, a number of significant IT companies, including Microsoft, Intel, and IBM have invested heavily in creating image solutions that use Al.

Additionally, the area boasts a regulatory climate that is conducive to innovation. The accelerated clearance procedures for AI-based medical imaging devices by the U.S. FDA has reduced the time to market reach, further encouraging various healthcare companies to enter the market. Hospitals and other healthcare facilities in North America are becoming more receptive to incorporating these cutting-edge technologies into their clinical procedures.

Asia Pacific is expected to witness fastest growth in AI in medical imaging market during the forecast period. The growth of this region is driven by the rising investments in R&D activities, increasing healthcare expenditure for adoption of advanced medical imaging techniques, presence of key market players, supportive government policies for AI adoption and growing prevalence of chronic diseases driving the demand for accurate image diagnostics.

Furthermore, the significant government investments in large population countries like China and India is boosting the development of healthcare potentially leading to drive the market growth in the upcoming years.

The and deep learning algorithms for better understanding and analysis of medical images, integration of data through several imaging modalities (PET, MRI, CT), increased focus on specific diseases, enhanced flexibility through cloud-based solutions and seamless integration into clinical workflows with the use of AI technology is driving the market growth.

Furthermore, the improved diagnostics accuracy allowing timely interventions, development of explainable AI (XAI) models and increased medical data availability is helping reducing workloads for radiologists and enhancing patient care with tailored treatments.

AI solutions with a more clinical focus are becoming increasingly prevalent making radiology as a potential field for AI applications. AI algorithms can assist in detection of abnormalities, for speeding up diagnosis processes and optimizing workflows with enhanced accuracy with advancements in deep learning methodologies thereby automating processes for radiologists with focus on specific applications. Industry leaders like GE Healthcare are developing cutting-edge imaging AI solutions that are increasing the efficiency of the health system as a whole including the radiology department.

The likelihood of effective results due to enhanced accuracy in analysing medical images while mitigating errors with AI integration is creating opportunities for market growth of this segment. By boosting picture clarity even at lower doses and adjusting scan parameters in real-time, AI is assisting in dose management ultimately leading to reduced radiation exposure.

Neurological illnesses are the second-highest cause of death across the world. Numerous studies on the use of AI in radiography for detection of brain tumors, volumetric measurements of the brain tissue among others are helping in faster diagnosis of neurological conditions. Almost between 29% to 38% of all commercially available AI-based radiology products focus on the spine or brain.

The growth of this segment can be attributed to the enhanced accuracy of cancer detection, automated analysis of lesions, assessment of breast density, integration of multimodal imaging techniques and personalized risk assessment based on patient’s medical history by utilizing AI algorithms. Automatic patient triage and treatment outcome prediction are two examples of jobs that these tools may help with that are not possible for humans.

Hospitals extensively utilize cutting-edge AI-based medical cameras and the increased expenditure on adoption of advanced medical imaging techniques is driving the segment's expansion. Additionally, these institutions have seen a rise in patient visits due to advantageous payment regulations that align with the high availability of qualified healthcare experts and also the availability of real-time monitoring and decision-making abilities by integrating AI with hospital systems is further boosting the market growth.

The research laboratories and diagnostics centers segment is estimated to grow at the fastest rate during the forecast period because of their quicker turnaround times and growing emphasis on specialist imaging services. These facilities are attracting outpatient services and patients looking for speedier diagnoses since they are utilizing AI to automate image processing, maximizing resource usage and providing affordable solutions. Diagnostic imaging centers are also expanding as a result of the decentralization of healthcare and the development of AI-powered imaging technologies designed for independent facilities.

, RapidAI, a global leader in AI-powered medical imaging analysis and coordinated care, was approved the FDA 510(k) clearance for its first of a kind, automated 3D imaging reconstruction solution called the Lumina 3D which was designed to replace manual workflows with the use of AI.
, Segmed entered into an agreement with Bayer for merging Segmed’s leading solution for real-world imaging data (RWiD) with Bayer’s AI Innovation Platform (AIIP) which will further advance development of AI-driven applications in healthcare.

Software Tools/ Platforms
Services
- Integration
- Deployment

X-Ray
Computed Tomography
Magnetic Resonance Imaging
Ultrasound Imaging
Molecular Imaging

Digital Pathology
Oncology
Cardiovascular
Neurology
Lung (Respiratory System)
Breast (Mammography)
Liver (GI)
Oral Diagnostics
Other

Hospitals and Clinics
Research Laboratories and Diagnostic Centers
Others (Ambulatory Surgical Centres, Intensive care at home, etc.)

North America
Asia Pacific
Europe
Latin America
Middle East and Africa (MEA)

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