Computed Tomography Market Size

Global Computed Tomography Market size was valued at USD 5.4 Billion in 2023 poised to grow from USD 5.76 Billion in 2024 to USD 9.68 Billion by 2032, growing at a CAGR of 6.7% in the forecast period (2025-2032).

The expanding international burden chronic diseases such as cancer, cardiovascular diseases, and respiratory diseases is a significant contributor to the computed tomography (CT) market. Chronic diseases result in the need for ongoing and precise diagnostic imaging - including CT scans - to detect and track early-stage abnormalities, observe the progression of the chronic condition, and assess the effectiveness of treatment. CT imaging can be performed fairly quickly, non-invasively, and with mineral detail, which contributes significantly to the clinical decision-making process when patients require ongoing diagnostic imaging. As life expectancy increases, there is also the evolving lifestyle change toward contributing factors of sedentary behaviours and dietary habits that lead to increased chronic illness' reasons for imaging, which is ongoing.

Innovations in CT imaging, such as the integration of artificial intelligence (AI), dual-energy scanning, and ultra-low radiation dose techniques, are key trends driving the global computed tomography sector. These advancements enhance image clarity, speed up scanning procedures, and reduce radiation exposure, thereby improving diagnostic accuracy and patient safety. AI-powered algorithms also enable automated image analysis and faster interpretation, increasing workflow efficiency. Such technological progress not only improves patient care but also encourages healthcare providers to upgrade from older systems to newer, feature-rich models. This continual evolution of CT technology is a key factor enabling broader clinical applications and stimulating demand in both developed and emerging markets.

How does AI help Automate Scan Interpretation?

Artificial Intelligence (AI) is directly transforming the global computed tomography market by enhancing image reconstruction, automating scan interpretation, and reducing diagnostic errors. AI algorithms analyze CT images faster and more accurately, leading to quicker diagnosis and improved clinical outcomes. This efficiency reduces radiologists’ workload and shortens patient wait times, prompting hospitals to adopt AI-enabled CT systems. Indirectly, AI is advancing personalized medicine by integrating imaging data with patient histories for tailored treatment plans. A notable development is GE Healthcare’s AI-powered “TrueFidelity” CT image reconstruction, which improves image clarity with lower radiation doses, illustrating AI’s growing role in driving CT system upgrades globally.

In January 2025, Philips introduced the AI-enabled CT 5300 system at the Asian Oceanian Congress of Radiology (AOCR) in Chennai. This 128-slice CT scanner incorporates advanced AI features such as AI reconstruction, cardiac motion correction, and smart workflow automation. These innovations enhance diagnostic precision, reduce radiation exposure, and streamline imaging processes across various clinical applications, including cardiology, oncology, and emergency care.