2024 Artificial Intelligence in Medical Imaging Market Overview: Key Insights on Size, Share, and Trends
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What is the Expected Growth Rate of the Artificial Intelligence in Medical Imaging Market from 2024 to 2033?
The artificial intelligence in medical imaging market rose from $2.6 billion in 2023 to $3.42 billion in 2024 at a CAGR of 31.7%, spurred by demand for AI-powered CT scans, the prevalence of cancer, cloud computing adoption, an aging population, and favorable government initiatives.
The artificial intelligence in medical imaging market will reach $10.02 billion by 2028 at a CAGR of 30.8%, driven by the need to reduce radiologist workload, demand for complex datasets, and investment in AI-powered CT. Key trends include computer vision, deep learning advancements, and innovations in imaging technologies.
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What Key Factors Are Fueling the Growth of the Artificial Intelligence in Medical Imaging Market?
The rising use of imaging modalities is expected to drive the growth of AI in the medical imaging market. Imaging modalities include various techniques used for diagnostic and therapeutic purposes. AI helps enhance medical imaging by assisting in image reconstruction and reducing noise and artifacts, resulting in clearer and more accurate images. The NHS reported that 43.3 million imaging tests were conducted in England between April 2021 and March 2022, indicating a growing demand for medical imaging. This trend is driving the growth of AI in medical imaging.
What Are the Major Segments of the Artificial Intelligence in Medical Imaging Market?
1) By Modality: Computed Tomography (CT) Scan, Magnetic Resonance Imaging (MRI), X-rays, Ultrasound, Nuclear Imaging
2) By Technology: Deep Learning, Natural Language Processing (NLP), Other Technologies
3) By Application: Neurology, Respiratory and Pulmonary, Cardiology, Breast Screening, Orthopedics
4) By End-Use: Hospitals, Diagnostic Imaging Centers, Other End-Users
What New Trends Are Transforming the Artificial Intelligence in Medical Imaging Market?
Major companies in the artificial intelligence in medical imaging market are developing innovative products like AI-enabled MRI systems to improve patient care. In December 2023, GE Healthcare, a US-based medical technology company, launched SIGNA Champion, an AI-enabled MRI system. This system incorporates AI features like AIR Recon DL and Sonic DL to enhance efficiency and image quality, providing quick, high-quality results for users of varying experience levels.
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Which Regions Are Driving Growth in the Artificial Intelligence in Medical Imaging Market?
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 artificial intelligence in medical imaging market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The Artificial Intelligence in Medical Imaging Global Market Report 2024 offers a comprehensive overview of the audio equipment market, covering historical data from 2010 to 2021 and providing a ten-year forecast from 2023 to 2032. This report examines the size of the artificial intelligence in medical imaging market, its market share, and analyzes key competitors along with their market positions.
The Table Of Content For The Artificial Intelligence in Medical Imaging Market Include
1. Artificial Intelligence in Medical Imaging Market Executive Summary
2. Artificial Intelligence in Medical Imaging Market Segments
3. Artificial Intelligence in Medical Imaging Market Size And Template Market Growth Rate
4. Key Artificial Intelligence in Medical Imaging Market Trends
5. Major Artificial Intelligence in Medical Imaging Market Drivers
……
25. Key Mergers And Acquisitions In The Artificial Intelligence in Medical Imaging Market
26. Top Artificial Intelligence in Medical Imaging Companies
27. Artificial Intelligence in Medical Imaging Market Opportunities And Strategies
28. Artificial Intelligence in Medical Imaging Market, Conclusions And Recommendations
29. Appendix
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