MarkNtel Advisors recently published a detailed industry analysis of the Artificial Intelligence (AI) Enabled Medical Imaging Market. The report covers growth trends, geographical marketing strategies, challenges, opportunities, and drivers influencing the market.
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Insights and Analysis of the Artificial Intelligence (AI) Enabled Medical Imaging Market (2024-2030)
The Global Artificial Intelligence (AI) Enabled Medical Imaging Market size was valued at around USD 3.23 billion in 2023 is projected to reach around USD 16.20 billion by 2030. Along with this, the market is estimated to grow at a CAGR of around 25.9% during the forecast period, i.e., 2024-30.
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What is driving the Artificial Intelligence (AI) Enabled Medical Imaging Market?
Shortage of Radiologists Necessiating AI Adoption – The market growth has been primarily credited to the shortage of radiologists to cater to the growing global patient population pool. This, thereby affects the quality and efficiency of diagnostic services and fosters the acceptance and utilization of artificial intelligence (AI) enabled medical imaging. Hence, its applications in radiology would augment the competencies of radiologists leading to faster and more accurate diagnoses.
In addition to this, there is an increasing usage of imaging biomarkers in clinical settings, as they are critical for the early detection, diagnosis, and monitoring of diseases. However, imaging biomarkers generate vast amounts of data, which would require more manual labor for interpretation, necessitating the adoption of advanced technologies to analyze and interpret. Consequently, the escalating integration of imaging biomarkers and the critical shortage of radiologists resulted in a growing reliance on AI in medical imaging. Hence, the demand for AI-enabled Imaging solutions would continue to grow in the upcoming years as well.
What segments define the Artificial Intelligence (AI) Enabled Medical Imaging Market from 2024 to 2030? How do these segments contribute to market dynamics and growth?
By Component
(Hardware, Software, [Perpetual Software License, Subscription Software License, Pay as You Go Software License]),
By Workflow
(Image Analysis, Image Acquisition, Detection, Reporting Communication, Diagnosis Treatment Decision Support, Predictive Analysis Risk Assessment, Equipment Maintenance, Triage),
By Technology
(Deep Learning, Machine Learning, Computer Vision, Natural Language Processing (NLP), Others),
By Therapeutic Application
(Specialty Imaging, [Cardiology, Oncology, [Lung Cancer, Breast Cancer, Other Cancers], Neurology, [Respiratory, Orthopedics, Others], General Imaging),
By Deployment
(Cloud, On-Premise),
By Modality
(Computed Tomography, Magnetic Resonance, Ultrasound, X-Ray, Mammography, Multimodality Imaging Systems, Others),
By End Users
(Hospitals, Clinics, Diagnostics Centers, Others)
Region
(North America, Europe, Asia-Pacific, South America, Middle East Africa)
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Who are the leading key players shaping the Artificial Intelligence (AI) Enabled Medical Imaging Market landscape?
Aidoc, Arterys Inc., Beijing Infervision Technology Co., Ltd., Blackford Analysis Limited, ContextVision AB, EnvoyAI, Fujifilm Holdings Corporation, General Electric Company, iCAD, Inc., Koninklijke Philips N.V., Mirada Medical Limited, NVIDIA Corporation, Nuance Communications, Inc., Resonance Health Ltd., Samsung Electronics Co., Ltd. etc., among others
Questions Addressed in this Study
1.What factors are driving the Artificial Intelligence (AI) Enabled Medical Imaging Market growth?
2.How is the Artificial Intelligence (AI) Enabled Medical Imaging Market expected to grow over the next five years?
3.What are the key insights into the current trends in the Artificial Intelligence (AI) Enabled Medical Imaging Market?
4.What is the current size of the Artificial Intelligence (AI) Enabled Medical Imaging Market, and how is it projected to change in the future?
6.What is the future outlook for the Artificial Intelligence (AI) Enabled Medical Imaging Market in terms of technological advancements and market expansion?
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