En Es
Categories

Industry News

Global Hybrid OR Market to Reach USD 1,17 Million by 2022

By HospiMedica International staff writers
06 Dec 2017

Image: The global hybrid OR market is expected to grow to USD 1,174.9 million by 2022 (Photo courtesy of iStock).The global hybrid operating room (OR) market is expected to grow at a CAGR of 12.5% from USD 652.0 million in 2017 to USD 1,174.9 million by 2022, driven by technological advancements in robot-assisted surgeries, increasing minimally invasive surgeries, and growing patient preference for affordable & effective surgical treatments. However, high establishment costs and procedural risks for patients associated with hybrid ORs are expected to limit the market growth during 2017 to 2022.

These are the latest findings of MarketsandMarkets (Seattle, WA, USA), a global market research company. Based on component, the intraoperative diagnostic imaging systems segment is expected to record the highest CAGR during the forecast period, led by significant installation costs for diagnostic imaging products, increasing installation of hybrid ORs across the major countries, ongoing integration and automation of OR workflows, and continuous technological advancements in diagnostic imaging.

Based on application, the thoracic segment is expected to record the fastest growth during the forecast period, driven by increasing thoracic surgeries performed globally, and rising awareness among healthcare professionals about the cost & therapeutic efficacy offered by hybrid ORs.

Based on end-user, the hospitals and surgical centers segment held the largest share of the global hybrid OR market in 2016, owing to growing patient emphasis on timely and effective disease management, increasing diagnostic and surgical procedures performed in hospitals, and growing number of hospitals and surgical centers being established in the developing countries, such as India, China, and South Africa.

Based on region, North America held the largest share of the global hybrid OR market in 2016, due to significant investments by hospitals for upgrading their ORs, and increasing number of surgical procedures and ambulatory surgery centers in the region. However, Asia-Pacific is expected to register the highest growth during the forecast period, due to the rapid increase in healthcare expenditure of the region’s emerging countries, such as China and India, which will support the adoption of advanced surgical & diagnostic technologies in their healthcare systems.

Related Links:
MarketsandMarkets



E-mail Print
FaceBook Twitter Google+ Linked in

Additional news

16 Aug 2018
Deep Learning-Based System Detects and Classifies Mammogram Masses
Researchers from the Kyung Hee University have developed a fully integrated computer-aided diagnosis (CAD) system that uses deep learning and a deep convolutional neural network (CNN) to detect, segment and classify masses from mammograms. In a new study published by the International Journal of Medical Informatics, the researchers have described the use of their regional deep learning model, You-Only-Look-Once (YOLO), to detect breast mass from entire mammograms. The researchers then went on to use a new deep network model based on a full resolution convolutional network (FrCN), to segment the mass lesions pixel-to-pixel. Finally, a deep CNN was used to recognize the mass and classify it as either benign or malignant.
Read More
16 Aug 2018
AI Software for Restoring Photos Could Find Use in Medical Imaging
Researchers have developed a deep learning-based approach that can fix photos originally taken in low light and are grainy or pixilated, and automatically remove the noise and artifacts by simply looking at examples of corrupted photos only. The approach can also be used to enhance MRI images, which could pave the way for a drastic improvement in medical imaging.
Read More
16 Aug 2018
Video Conference Could Facilitate Relationships between Radiologists and ICU Clinicians
Radiologists and intensive care unit (ICU) clinicians who have not been connected for a decade can improve their relationships as well as quality of care through immersive video conference, according to a group of physicians from the Children’s Hospital of Philadelphia.
Read More
15 Aug 2018
FDA Gives Clearance to World's First Deep-Learning Solution to Assist Workflow Triage
A brain solution that works with radiologists to flag acute intracranial hemorrhage (ICH) cases in head CTs and is the world's first deep-learning solution to assist radiologists in workflow triage has been granted clearance by the Food and Drug Administration (FDA). The product is the first of the expanding suite of artificial intelligence (AI)-based workflow optimization solutions to be offered by Aidoc, a provider of AI solutions for radiologists.
Read More
10 Aug 2018
Global Medical Robots Market to Reach USD 16 Billion by 2023
The global medical robots market is projected to grow at a CAGR of 21.0% from an estimated USD 6.46 billion in 2018 to USD 16.74 billion by 2023, driven by technological advancements, advantages of robot-assisted training in rehabilitation therapy, increased funding for medical robot research, and IPOs issued by medical robot companies. However, safety concerns over robotic surgery devices are expected to limit the market growth to some extent. Recent studies have found a number of technical difficulties and complications experienced while performing procedures using robotic systems. According to the FDA, from 2000 to 2013, surgical robots have been linked to over 144 deaths, over 1,391 injuries, and 8,061 device malfunctions.
Read More
10 Aug 2018
Deep Learning-Based System Detects Lesions in Knee MR Images
Researchers from the department of radiology at the University of Wisconsin School of Medicine and Public Health have developed a deep learning approach to detect cartilage lesions by evaluating MR images of the knee. The researchers used segmentation and classification convolutional neural networks (CNNs) to develop the fully automated deep learning–based cartilage lesion detection system.
Read More
10 Aug 2018
New AI Software Cuts Radiation Therapy Planning Time
Researchers from the University of Toronto have developed automation software that will cut down the time for developing radiation therapy plans — individualized maps that help doctors determine where to blast tumors — from days to mere hours.
Read More
10 Aug 2018
RSNA Announces AI and Machine-Learning Initiatives for 2018
The Radiological Society of North America has planned a diverse roster of machine learning (ML) and artificial intelligence (AI) programming for RSNA 2018 that will focus on the power and potential of AI in radiology and issues associated with implementation.
Read More
10 Aug 2018
Global Market for Machine Learning to Surpass USD 2 Billion by 2023
The global market for machine learning in medical imaging is expected to record a robust growth and surpass USD 2 billion by 2023, driven by benefits such as enhanced productivity, increased diagnostic accuracy, more personalized treatment planning and improved clinical outcomes. However, the market is still in the innovator and early adopter phase, and will need to overcome several barriers before AI becomes mainstream in medical imaging. These are the latest findings of Signify Research, an independent supplier of market intelligence and consultancy to the global healthcare technology industry.
Read More
Copyright © 2000-2018 TradeMed.com. All rights reserved. | Terms And Conditions