AI In Medical Imaging Market Size (2024 - 2029)

Artificial Intelligence (AI) in Medical Imaging Market Analysis

The AI In Medical Imaging Market size is estimated at USD 5.86 billion in 2024, and is expected to reach USD 20.40 billion by 2029, growing at a CAGR of 28.32% during the forecast period (2024-2029).

• The growing aging population, coupled with rising investment in the healthcare ecosystem, is expected to impact overall market growth over the forecast period positively. Developed nations have been facing this demographic challenge and have been investing in bringing affordable and advanced healthcare systems to the people, thereby providing impetus to the market. Additionally, a computed tomography (CT) scan can detect small lesions in the lungs that go undetected on an X-ray. Confirmative, diagnostic, and supportive are different uses of X-rays in the medical domain.
• One of the most promising areas of health innovation is the application of artificial intelligence (AI) in medical imaging, including, but not limited to, image processing and interpretation. AI in medical imaging not only reduces the time of detection but also increases the accuracy of detection and helps diagnose health issues on time. For instance, researchers at the Mount Sinai Hospital used Triton from Gauss Surgical to drive hemorrhage protocols, leading to a 2-4 times increase in hemorrhage recognition in both c-sections and vaginal deliveries, a 34% reduction in delayed interventions to control bleeding, and USD 209,000 annualized cost avoidance from unnecessary transfusions and lab tests.
• Software incorporating artificial intelligence (AI), particularly the subset of AI known as machine learning (ML), has become an increasingly significant feature of several medical devices as technology advances in every aspect of healthcare. One of the most significant benefits of machine learning is its ability to extract new and valuable insights from the massive amounts of data gathered every day when providing healthcare.
• Software incorporating artificial intelligence (AI), particularly the subset of AI known as machine learning (ML), has become an increasingly significant feature of several medical devices as technology advances in every aspect of healthcare. One of the most significant benefits of machine learning is its ability to extract new and valuable insights from the massive amounts of data gathered every day when providing healthcare.

Artificial Intelligence (AI) in Medical Imaging Industry Segmentation

Medical imaging can be described as the diagnostic procedure that involves the creation of visual aids and image representations of the human body and involves monitoring the performance and functioning of the organs of the human body. With the integration of artificial intelligence (AI) in healthcare and medical imaging, there is a change in how the diagnostics and the entire procedure are carried out. The AI assists the surgeons in carrying out the image-capturing process and how to diagnose these images for the conclusion and personalized treatment concerning every individual and patient.

The AI Market in Medical Imaging is segmented by Offering (Software Tools/Platform and Services), Image Acquisition Technology (X-Ray, Computed Tomography, Magnetic Resonance Imaging, Ultrasound Imaging, and Molecular Imaging), End User (Hospitals, Clinics, and Research Laboratories and Diagnostic Centers), and Geography. The market sizes and forecasts are provided in terms of value in USD for all the above segments.