PUBLISHER: Allied Market Research | PRODUCT CODE: 1396928
PUBLISHER: Allied Market Research | PRODUCT CODE: 1396928
The AI in medical imaging market size was valued at $1,891.12 million in 2022, and is projected to reach $29,754.83 million by 2032, registering a CAGR of 32.1% from 2023 to 2032.
The artificial intelligence in medical imaging market provides a disruptive junction of artificial intelligence and healthcare diagnostics that is set to revolutionize medical imaging practices. This booming industry aspires to take healthcare diagnostics and patient outcomes to unprecedented heights by seamlessly integrating modern AI algorithms with existing medical imaging modalities such as X-ray, CT, MRI, and ultrasound. AI-powered medical imaging solutions cover a wide variety of applications, such as image analysis, illness diagnosis, picture reconstruction, segmentation, and workflow optimization.
The scope of the report discusses the potential opportunities for the key players to enter the AI in medical imaging market. Furthermore, it provides an in-depth analysis of the market, outlining current trends, key driving factors, and key areas of investment. The report includes Porter's five forces analysis to understand the competitive scenario of the industry and role of each stakeholder in the value chain. Moreover, it features the strategies adopted by key market players to maintain their foothold in the market.
The AI in medical imaging market is segmented on the basis of modality, technology, application, industry vertical and region. On the basis of modality, it is classified into CT Scan, MRI, X-rays, Ultrasound Imaging and Molecular Imaging. On the basis of technology, it is classified into Deep Learning, Natural Language Processing (NLP), Computer Vision, and others. On the basis of application, it is classified into Breast Imaging, Respiratory and Pulmonary, Neurology, Orthopedics, and others. On the basis of industry vertical, it is classified into Hospital and Healthcare Providers, Patients, Pharmaceuticals and Biotechnology Companies, Healthcare Payers, and others. On the basis of region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
Several factors are driving the AI in medical imaging market, with one of them being the increasing use of AI in radiology. AI's capacity to quickly and accurately analyze medical pictures has improved diagnostic capabilities and shortened procedures. AI-assisted image interpretation benefits radiologists by assisting in the detection of minor anomalies, early illness diagnosis, and personalized therapy planning. This has led to better patient outcomes, a reduction in diagnostic blunders, and optimal resource use. Another driving factor is the rise in demand for AI-powered CT. A tremendous increase in demand for AI-powered Computed Tomography (CT) has been seen in recent years, driven by the technology's revolutionary effects on diagnostics and healthcare. Radiologists and physicians are now able to spot minor irregularities, complex tissue structures, and possible problems that could have gone unnoticed using conventional techniques thanks to AI algorithms that analyze CT images with unmatched speed and precision.
On the other hand, the rise in costs is hampering the market. The market for AI in medical imaging has been significantly constrained by the rising cost of implementation. While AI has shown incredible promise in improving patient care, treatment planning, and diagnostic accuracy, its adoption comes with a hefty price tag that presents difficulties for healthcare organizations and providers.
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