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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