Covid-19 Is Impacting The AI in Medical Imaging Market 2020 | Industry Analysis, Scope, Demand, Supply - Forecast 2026

AI in Medical Imaging Market: Introduction

According to a new market report pertaining to the global AI in medical imaging market published by Transparency Market Research the global AI in medical imaging market is anticipated to reach ~US$ 7.4 Bn by 2027. The market is projected to expand at a CAGR of ~45% from 2019 to 2027 in terms of revenue. According to the report, North America was the largest contributor in terms of revenue to the AI in medical imaging market in 2018.

Increasing Imaging Volumes Driving AI in Medical Imaging Market

From speech recognition and driver assistance systems in cars to smart chat-bots for helpdesks, artificial intelligence is making its way into countless routine applications. Notably, impressive results have been achieved when AI is used to correctly classify images. Radiologists are engaging in generating a huge volume of images, making it increasingly challenging to meet productivity while maintaining diagnostic accuracy. In medical imaging, the expectation of obtaining accurate diagnosis from detailed anatomical and functional images encourages radiologists to use AI in medical imaging. This helps in better analysis of the study. In addition, use of AI in image analysis helps to accelerate interpretation, improve accuracy, and reduce repetition for radiologists and other specialties.

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AI in Medical Imaging: Market Segmentation

The global AI in medical imaging market has been segmented in terms of solution, AI technology, image acquisition technology, clinical application, end user, and region. On the basis of solution, the market has been segmented into software tools/platforms and services. The services segment is further divided into integration and development. Based on AI technology, the market has been segmented into deep learning, computer vision, and other. Based on image acquisition technology, the market has been segmented into x-ray, computed tomography (CT), magnetic resonance imaging, ultrasound imaging, and molecular imaging. In terms of end user, the market is divided into hospitals, R&D centers, and laboratories & diagnostic centers. On the basis of clinical application, the market has been segmented into cardiovascular, neurology, lung (respiratory system), breast (mammography), oncology, pathology, liver (GI), oral diagnostics, and rest of the body. The report covers the analysis of these segments across North America, Europe, Asia Pacific, Middle East & Africa, and South America, along with the qualitative analysis for market estimates supplementing the growth of the AI in medical imaging market during the forecast period.

AI in Medical Imaging Market: Regional Outlook

In terms of region, the global AI in medical imaging market has been segmented into North America, Europe, Asia Pacific, Middle East & Africa, and South America. North America is expected to dominate the AI in medical imaging market during the forecast period. This trend can be attributed to the strong presence of AI in medical imaging solutions in the regional market. The U.S. is expected to lead the North America AI in medical imaging market due to a higher acceptance of the technology. Asia Pacific is expected to lead the global AI in medical imaging market over the forecast period. This is due to the fact that economies are focusing on increasing investments in artificial intelligence which would help companies to integrate AI with medical imaging. For instance, in July 2017, China released its next gen AI development plan. The country aims to be the leader in AI by 2030. The AI development plan includes extensive government investment and funding in order to increase the adoption of AI solutions among companies. Hence, the market in China is projected to expand at the highest CAGR during the forecast period. China held a considerable share of the AI in medical imaging market in 2019 and is likely to have a considerable market share in the near future. The AI in medical imaging market in Middle East & Africa, Europe, and South America is projected to expand moderately over the forecast period.

The report provides in-depth segment analysis of the global AI in medical imaging market, thereby providing valuable insights at macro as well as micro levels. Analysis of major countries, which hold growth opportunities or account for significant share has also been included as part of geographic analysis for the AI in medical imaging market.

AI in Medical Imaging Market: Competition Dynamics

The research study includes profiles of leading companies operating in the global AI in medical imaging market. Key players profiled in the report include IBM Corporation, Microsoft Corporation, Samsung Electronics Co. Ltd., Arterys, Siemens Healthineers AG, Gauss Surgical, Enlitic Inc., Bay Labs, Inc., Qure.ai, and Lunit Inc.

Customization of the Report: This report can be customized as per your needs for additional data or countries. - https://www.transparencymarketresearch.com/sample/sample.php?flag=CR&rep_id=76495

Global AI in Medical Imaging Market: Segmentation

AI in Medical Imaging Market, by Solution

Software Tools/Platforms
Services
Integration
Development
AI in Medical Imaging Market, by AI Technology

Deep Learning
Computer Vision
Others
AI in Medical Imaging Market, by Image Acquisition Technology

X-ray
Computed Tomography (CT)
Magnetic Resonance Imaging
Ultrasound Imaging
Molecular Imaging
AI in Medical Imaging Market, by End User

Hospitals
R&D Centers
Laboratories & Diagnostic Centers
AI in Medical Imaging Market, by Clinical Application

Cardiovascular
Neurology
Lung (Respiratory System)
Breast (Mammography)
Oncology
Pathology
Liver (GI)
Oral Diagnostics
Rest of Body
AI in Medical Imaging Market, by Region

North America
U.S.
Canada
Rest of North America
Europe
Germany
U.K.
France
Rest of Europe
Asia Pacific
China
Japan
India
Australia
Rest of Asia Pacific
Middle East & Africa
GCC Countries
South Africa
Rest of MEA
South America
Brazil
Rest of South America

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This release was published on openPR.