The AI in medical imaging market is growing due to large datasets, the need to ease radiologist workload, more investment in AI startups, government support, and industry collaborations. AI's role in radiology allows for quicker and more precise image analysis, enhancing diagnoses and processes. However, high costs of implementation remain a major barrier to growth.
The global AI in medical imaging market study provides market data for by Technology (Deep Learning, Natural Language Processing, Computer Vision, Others), by Application (Neurology, Respiratory and Pulmonary, Cardiology, Breast Screening, Orthopaedics, Others), by modalities (CT Scan, MRI, X-rays, Ultrasound, Nuclear Imaging), by end user (Hospitals, Diagnostic Imaging Centers, Others)
On the basis of technology, the deep learning segment holds the largest share of the AI in medical imaging market due to its ability to analyze complex images and provide accurate diagnostics. Convolutional neural networks (CNNs) enhance image recognition, improving patient outcomes and efficiency. Natural language processing (NLP) is expected to grow quickly, improving decision-making in healthcare.
By application, the neurology segment led the market in 2023, supported by AI's ability to enhance patient care, accuracy, and efficiency. AI significantly helps in identifying neurological conditions like brain tumors, which can be misdiagnosed. By providing high accuracy and consistency, AI boosts diagnosis and detection, driving segment growth.
On the basis of Modalities, the CT scan segment holds the largest market share in the AI in medical imaging sector. The market includes CT, X-rays, MRI, Nuclear Imaging, and ultrasound. CT led in 2022, while X-ray is growing fastest from 2023 to 2030. AI in CT lowers radiation doses, and AI in X-ray reduces radiologists' workload worldwide.
By end user, In 2023, hospitals dominated the market, holding the largest share, and are anticipated to grow at the fastest rate. A 2020 survey indicated that one-third of hospitals and imaging centers have adopted AI, machine learning (ML), and deep learning technologies for patient care imaging. This growth is fueled by the widespread availability of advanced medical equipment and the strong infrastructure in hospitals, enabling more efficient and accurate diagnostic processes.
Global AI in Medical Imaging Market Key Players:
Advanced Micro Devices, Inc. (AMD), Butterfly Network, Inc., Canon Medical Systems USA, Inc., Digital Diagnostics Inc., EchoNous, Inc., Enlitic, Inc., Exo Imaging, Inc., GE HealthCare, HeartFlow, Inc., Microsoft, Nano-X Imaging Ltd, TEMPUS, Viz.ai, Inc., Others.
Global AI in Medical Imaging Market Segmentation:
By Technology: Based on the Technology, Global AI in Medical Imaging Market is segmented as; Deep Learning, Natural Language Processing, Computer Vision, Other.
By Application: Based on the Application, Global AI in Medical Imaging Market is segmented as; Neurology, Respiratory and Pulmonary, Cardiology, Breast Screening, Orthopaedics, Others.
By Modalities: Based on the Modalities, Global AI in Medical Imaging Market is segmented as; CT Scan, MRI, X-rays, Ultrasound, Nuclear Imaging.
By End Use: Based on the End Use, Global AI in Medical Imaging Market is segmented as; Hospitals, Diagnostic Imaging Centers, Others.
By Region: This research also includes data for North America, Asia-Pacific, Latin America, Middle East & Africa and Europe.
This study also encompasses various drivers and restraining factors of this market for the forecast period. Various growth opportunities are also discussed in the report.