AI IN MEDICAL IMAGING MARKET SIZE AND SHARE ANALYSIS - GROWTH TRENDS AND FORECASTS (2025-2032)

Artificial intelligence is increasingly used in medical imaging to enhance the capabilities of radiologists and assist them in diagnosis and treatment processes. AI helps to improve the accuracy of imaging interpretation and enables early detection of diseases. Deep learning algorithms are being trained on large volumes of medical image data to perform tasks like computer-aided diagnosis, patient monitoring and predictive analysis. This can transform medical imaging practices and deliver higher quality care.

Market Dynamics

Global AI in medical imaging market growth is driven by rising prevalence of chronic diseases, growing geriatric population vulnerable to various diseases and the ability of AI to improve diagnostic accuracy. Furthermore, reducing healthcare costs and increasing adoption of minimally invasive surgeries can also drive the market growth. However, lack of skilled AI workforce and ambiguity related to legal and safety issues of AI-based systems can hamper the market growth. Advancements in deep learning and availability of huge imaging data can offer major growth opportunities. Integration of AI into routine clinical activities and emergence of applications like virtual nurses can offer growth opportunities in the future.

Key features of the study

• This report provides in-depth analysis of the global AI in medical imaging market, and provides market size (USD Billion) and compound annual growth rate (CAGR%) for the forecast period (2025–2032), considering 2024 as the base year
• It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market
• This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players
• It profiles key players in the global AI in medical imaging market based on the following parameters – company highlights, products portfolio, key highlights, financial performance, and strategies
• Key companies covered as a part of this study include GE Healthcare, IBM Watson Health, Philips Healthcare, Samsung, Medtronic, NVIDIA Corporation, Alibaba Cloud, Sense Time, Pvmed, Animado
• Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics
• Global AI in medical imaging market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts
• Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global AI in medical imaging market

Market Segmentation

• Imaging Modality Insights (Revenue, USD Bn, 2025 - 2032)
• Computed Tomography (CT)
• Magnetic Resonance Imaging (MRI)
• X-Ray Imaging
• Ultrasound
• Others (PET, SPECT, etc.)
• Application Insights (Revenue, USD Bn, 2025 - 2032)
• Radiology
• Oncology
• Cardiology
• Neurology
• Others (Orthopedics, Ophthalmology, etc.)
• Deployment Insights (Revenue, USD Bn, 2025 - 2032)
• Cloud-based
• On-premise
• End User Insights (Revenue, USD Bn, 2025 - 2032)
• Hospitals and Diagnostic Centers
• Specialty Clinics
• Research Institutes
• Others (Pharmaceutical Companies etc.)
• Regional Insights (Revenue, USD Bn 2025 - 2032)
• North America
• U.S.
• Canada
• Latin America
• Brazil
• Argentina
• Mexico
• Rest of Latin America
• Europe
• Germany
• U.K.
• Spain
• France
• Italy
• Russia
• Rest of Europe
• Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• ASEAN
• Rest of Asia Pacific
• Middle East
• GCC Countries
• Israel
• Rest of Middle East
• Africa
• South Africa
• North Africa
• Central Africa
• Key Players Insights
• GE Healthcare
• Siemens Healthineers
• Canon Medical Systems
• Philips
• Aidoc
• Fujifilm Holdings Corporation
• Imagia Cybernetics
• Lunit
• Enlitic
• iCAD Inc.
• ContextVision
• Subtle Medical
• CancerCenter.ai
• Viz.ai
• Zebra Medical Vision
• Qure.ai
• Zebra Medical Vision
• PathAI
• Tempus
• Dascena