Market Summery
The AI-assisted radiology market size is expected to grow from USD 7.73 billion in 2022 to USD 10.01 billion by 2030, at a CAGR of 33.18%. AI-assisted radiology solutions use artificial intelligence to help radiologists interpret medical images more accurately and efficiently. These solutions can identify and prioritize suspicious findings, generate reports, and even provide treatment recommendations.
The AI-assisted radiology market is experiencing a transformative surge, driven by the integration of artificial intelligence (AI) technologies into medical imaging processes. Leveraging the power of AI, medical professionals are equipped with advanced tools capable of analyzing vast amounts of radiological data with unparalleled accuracy and efficiency. This integration of AI into medical imaging not only expedites diagnosis but also enhances the overall quality of patient care by enabling early detection of diseases and abnormalities. AI algorithms, trained on extensive datasets, can swiftly identify subtle patterns and anomalies in medical images that might evade the human eye, thereby facilitating more precise diagnoses and treatment planning.
Artificial intelligence and medical imaging has become an indispensable asset in radiology, revolutionizing the field by augmenting the capabilities of radiologists and streamlining workflows. With AI's assistance, radiologists can focus more on complex cases and clinical decision-making while relying on intelligent algorithms to assist in routine tasks such as image interpretation and anomaly detection. Moreover, AI-driven medical imaging solutions hold the promise of reducing diagnostic errors and improving patient outcomes by providing consistent and standardized analyses across healthcare facilities. As the demand for efficient healthcare services grows, fueled by factors such as population aging and increasing disease burdens, the AI-assisted radiology market is poised for further expansion, with continuous advancements expected to drive innovation and enhance the role of AI in transforming medical imaging practices.
Segment Analysis
The global AI-assisted radiology market has been segmented based on technique, application, and end user.
On the basis of the end user, the market is segmented into Hospitals, Diagnostic Imaging Centers, and Others. The hospitals segment held the largest market share during the forecast period owing to favorable reimbursement regulations and is preferred by patients for the treatment process due to the convenience & a variety of product offerings in one place.
On the basis of technique, the market is segmented into x-rays, magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), ultrasound, and others. The computed tomography (CT) segment held the largest market share in 2022.
Based on application, the global AI-assisted radiology market has been segmented into neurology, mammography, cardiovascular, respiratory & pulmonary, orthopedics, and others. The neurology surgery market held the largest market share in 2022.
Key Players
MRFR recognizes the following companies as the Global AI-assisted radiology Players are
GE Healthcare (US),
FUJIFILM Corporation (Japan),
Aidoc (Israel),
ClariPi Inc. (South Korea),
IBM Corporation (US),
Koninklijke Philips N.V. (Netherlands),
Siemens (Germany),
Medtronic (Ireland),
Gleamer (France), and
Agfa-Gevaert Group (Belgium).
Geographical Analysis
The global AI-assisted radiology market, based on region, has been divided into North America, Europe, Asia-Pacific, and Rest of the World. North America consists of US and Canada. The Europe AI-assisted radiology market comprises of Germany, France, the UK, Italy, Spain, and the rest of Europe. The AI-assisted radiology market in Asia-Pacific has been segmented into China, India, Japan, Australia, South Korea, and the rest of Asia-Pacific. The Rest of the World AI-assisted radiology market comprises of Middle East, Africa, and Latin America.
North America is expected to dominate the AI-assisted radiology market during the forecast period, due to the early adoption of AI technologies in healthcare and the high prevalence of chronic diseases. However, the Asia Pacific market is expected to grow at the highest CAGR during the forecast period, due to the increasing investment in healthcare infrastructure and the growing demand for AI-driven solutions in the region.
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