AI in Medical Imaging Market, By Imaging Modality (Computed Tomography (CT), Magnetic Resonance Imaging (MRI), X-Ray Imaging, Ultrasound, Others), By Application (Radiology, Oncology, Cardiology, Neurology, Others), By Deployment (Cloud-based and On-premi

AI in Medical Imaging Market, By Imaging Modality (Computed Tomography (CT), Magnetic Resonance Imaging (MRI), X-Ray Imaging, Ultrasound, Others), By Application (Radiology, Oncology, Cardiology, Neurology, Others), By Deployment (Cloud-based and On-premise), By End User (Hospitals and Diagnostic Centers, Specialty Clinics, Research Institutes, Others), By Geography (North America, Latin America, Asia Pacific, Europe, Middle East, and Africa)

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 (2024–2031), considering 2023 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

Detailed Segmentation-

Imaging Modality Insights (Revenue, USD Bn, 2019 - 2031)

Computed Tomography (CT)

Magnetic Resonance Imaging (MRI)

X-Ray Imaging

Ultrasound

Others (PET, SPECT, etc.)

Application Insights (Revenue, USD Bn, 2019 - 2031)

Radiology

Oncology

Cardiology

Neurology

Others (Orthopedics, Ophthalmology, etc.)

Deployment Insights (Revenue, USD Bn, 2019 - 2031)

Cloud-based

On-premise

End User Insights (Revenue, USD Bn, 2019 - 2031)

Hospitals and Diagnostic Centers

Specialty Clinics

Research Institutes

Others (Pharmaceutical Companies etc.)

Regional Insights (Revenue, USD Bn 2019 - 2031)

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