Overview and Scope
AI in medical imaging refers to the use of disruptive technology that uses computer algorithms for imaging. AI in medical imaging is used to assist healthcare professionals in diagnosing a wide variety of conditions. Also, it improves the accuracy, efficiency, and speed of image interpretation, assisting radiologists and healthcare professionals in making diagnoses.
Sizing and Forecast
The ai in medical imaging market size has grown exponentially in recent years. It will grow from $2.07 billion in 2023 to $2.85 billion in 2024 at a compound annual growth rate (CAGR) of 37.6%. The growth in the historic period can be attributed to increased volume of medical imaging data, increased demand for improved diagnostic accuracy, growing burden of chronic diseases, enhanced workflow efficiency, increased healthcare expenditure..
The ai in medical imaging market size is expected to see exponential growth in the next few years. It will grow to $10.34 billion in 2028 at a compound annual growth rate (CAGR) of 37.9%. The growth in the forecast period can be attributed to integration with electronic health records (ehr), growing application in image-guided interventions, emergence of ai-powered personalized medicine, increased focus on preventive healthcare, global expansion of telemedicine. Major trends in the forecast period include enhanced imaging modalities with ai, interoperability and data sharing, regulatory framework development, increased industry collaboration, growing emphasis on explainable ai..
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Segmentation & Regional Insights
The ai in medical imaging market covered in this report is segmented –
1) By Technology: Deep Learning, Natural Language Processing (NLP), Other Technologies
2) By Solution: Software Tools, Services
3) By Modality: Computed Tomography (CT) Scan, Magnetic Resonance Imaging (MRI), X-Rays, Ultrasound, Nuclear Imaging
4) By Application: Digital Pathology, Oncology, Cardiovascular, Neurology, Lung (Respiratory System), Breast (Mammography), Liver (GI), Oral Diagnostics, Other Applications
5) By End-Use: Hospitals, Diagnostic Imaging Centers, Other End-Users
North America was the largest region in the AI In medical imaging market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the ai in medical imaging market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Major Driver Impacting Market Growth
The growing adoption of AI in radiology is expected to propel the AI in medical imaging market going forward. Radiology refers to the medical specialty that focuses on the diagnosis and treatment of diseases and injuries using medical imaging techniques. AI in medical imaging is widely used in radiology to enhance the interpretation of medical images and improve the efficiency and accuracy of radiological workflows, such as automated image analysis, computer-aided detection, and image reconstruction and enhancement. For instance, in February 2023, Inside Precision Medicine, a US-based media brand, published an article that said AI adoption in radiology increased to 30% in 2020 compared to previous years. Furthermore, in November 2022, according to Itransition, a US-based software development company, 30 percent of radiologists used AI in their clinical practices in 2022, although 20 percent of practices plan to buy AI tools in the coming years. Therefore, the growing adoption of AI in radiology will drive the AI in medical imaging market.
Key Industry Players
Major companies operating in the ai in medical imaging market report are Alphabet Inc, Microsoft Corporation, The International Business Machines Corporation, Sanofi, Oracle Corporation, Merative, Medtronic plc, Nvidia Corporation, Siemens Healthineers AG, Koninklijke Philips NV, Stryker, GE HealthCare Technologies Inc., Lunit Inc., DeepMind, Viz.ai Inc., Aidoc, AZmed, Digital Diagnostics Inc., Butterfly Network Inc., Cleerly, Behold.ai, Butterfly Network, Enlitic, Nano-X Imaging Ltd., Arterys, Caption Health, EchoNous Inc., Gleamer, CloudMedX, CellmatiQ GmbH, Mediwhale, dentalXrai GmbH
The ai in medical imaging market report table of contents includes:
1. Executive Summary
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