Global AI-Enabled Medical Imaging Solutions Market Driven by Increased Complexities of Clinical Decision-Making

The global artificial intelligence (AI)-enabled medical imaging solutions market is expected to surpass USD 4.70 billion by 2027, driven by high demand due to the increased complexities of clinical decision-making.

The integration of AI in medical imaging has become an important requirement and has the potential to transform medical imaging in terms of both productivity and accuracy. These are the latest findings of Emergen Research (Surrey, Vancouver, Canada), a market research and consulting company.

AI in medical imaging is garnering significant attention and gaining popularity owing to its wide range of benefits. The primary benefit of AI in medical imaging is the significant improvement in the efficiency of radiologists, pathologists, and other image-based diagnosticians. AI in medical imaging can also boost volumes of diagnostic imaging procedures conducted in hospitals and diagnostic departments. AI-enabled medical imaging solutions are anticipated to witness substantial traction owing to their ability to detect cancer at early stages and track tumor growth. The development of advanced learning algorithms and increasing availability of novel solutions for medical imaging application is also aiding the growth of AI in medical imaging. The ongoing COVID-19 pandemic has increased the burden on hospitals and other healthcare sectors, and advanced technologies such as virtual healthcare management and AI have played a pivotal role in curbing the spread of the infection. The technology has also helped doctors diagnose COVID-19 infection and assess the severity of the condition.

The computed tomography (CT) sub-segment is witnessing booming growth owing to high incidences of various lifestyle-associated chronic illnesses, such as cardiovascular diseases, hypertension, and cancer. The rising demand for imaging tools and advanced imaging solutions is further aiding the segment’s growth. Machine Learning (ML) has several usages and benefits owing to its image acquisition process. The applications range from the selection of automated image protocol to ensuring that the patient’s position is accurate for the scanning process. This can result in a diminished need for repeat scans, thereby saving the time of the patient and healthcare provider. Geographically, North America accounted for a significant share of the global AI in medical imaging industry owing to the escalating demand for AI and AI-enabled solutions in the US. The presence of major market players, advancements in healthcare infrastructure, and mounting financial support for research and development activities are further contributing to the regional market growth.

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