2022-2030 AI-Enabled X-ray Imaging Solutions Market Analysis and Key Vendors Key Business Strategies – Queen Anne and Mangolia News
The Market Statsville Group (GMS) publishes the new report on the “AI-Enabled X-ray Imaging Solutions Market By Product Type (Hardware & Software), By Workflow (Image Acquisition, Diagnosis & Treatment Decision Support, Image Analysis, Detection, predictive analytics and risk assessment, triage, reporting and communications), by mode of deployment (cloud and web-based solutions and on-premises solutions), by therapeutic application (general imaging and specialized imaging), by region – Global share and forecast to 2030“. The global AI-based X-ray imaging solutions market is expected to grow at a CAGR of 20.2% to reach USD 569.6 million by 2030, from USD 101.6 million in 2021. machine learning, deep learning, convolutional neural networks, and language processing tools have transformed the field of medical imaging. With the integration of AI, medical imaging is evolving as a better, faster, stronger and more efficient discipline, thus providing lucrative opportunities for manufacturers. For example, deep learning algorithms have been known to reduce a 45-minute brain MRI involving multiple scans to just a few minutes without compromising quality or accuracy.
Contributing to these benefits, investors in medical imaging are turning to the development of innovative software solutions that possess the potential to mimic cognitive behaviors, thereby improving associated workflows. Significant research is being conducted to develop new AI-based medical imaging solutions without sufficient consideration of marketability, reimbursement, and other related concerns. This research is funded by both government and private investors.
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Segmentation of the global AI-enabled X-ray imaging solutions market
The global AI-enabled X-ray imaging solutions market has been segmented into product, workflow, mode of deployment, therapeutic application and region.
- By product type (hardware and software)
- By workflow (image acquisition, image analysis, detection, diagnosis and treatment decision support, predictive analysis and risk assessment, triage, reports and communications)
- By deployment mode (cloud and web solutions and on-premises solutions)
- By therapeutic application (general imaging and specialized imaging)
- By region (United States, Canada, Mexico, United Kingdom, Germany, France, Italy, Spain, China, Japan, India, South Korea, Southeast Asia, Australia, Saudi Arabia, United Arab Emirates, South Africa South, Qatar, Nigeria, Israel, Brazil, Argentina, Peru)
Image acquisition, by workflow, is estimated to hold the largest market share during the forecast period
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The global AI-enabled X-ray imaging solutions market is segmented into image acquisition, image analysis, detection, diagnosis and treatment decision support, predictive analytics and risk assessment, triage, reporting and workflow-based communications. The global market for AI-enabled X-ray imaging solutions was dominated by image acquisition in 2021. Image acquisition in medical imaging refers to the representation of visual characteristics of an organ or part of the body. Acquiring images or performing a scan depended more on the modality’s hardware, such as capture sensors or graphics processing units. Also, due to conventional image acquisition methods, it depends on the experience of the technologist during the examination, communication with the radiologist or a physician, and the amount of radiation dose delivered to the patient.
Therefore, quality control at this stage of the radiology workflow becomes a challenge with even a few factors mentioned above. However, with the impending use of AI technology, these challenges are being met. Moreover, with the advancement in hardware and storage capacity, it is possible to handle a lot of acquired data in the current scenario. AI holds immense potential to speed up the collection and reconstruction of data, and it can also be used to improve the insights provided by images.
North America accounts for the largest market share in the AI-enabled X-ray imaging solutions market in 2021
On the basis of regions, the global market for AI-enabled X-ray imaging solutions has been segmented into North America, Asia–Pacific, Europe, South America, Middle East and Africa. North America dominates the global AI-enabled X-ray imaging solutions market with a 56.1% market share in 2021. Major factors such as the presence of leading AI-enabled X-ray imaging solutions and increasing adoption of AI-enabled X-ray imaging solutions are responsible for North America holding the highest market share.
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AI has great potential to transform imaging and save radiologists time or effort when diagnosing and treating patients. According to a survey by Definitive Healthcare, approximately one-third of hospitals and imaging centers in the United States use artificial intelligence, machine learning, and deep learning in imaging or business operations. Growing number of strategic collaborations and expanding scope of application of AI in medical imaging are other major factors contributing to the growth of the market in North America. For example, NVIDIA Corporation and the American College of Radiology have entered into a collaboration to increase the adoption of AI in diagnostic radiology in thousands of hospitals in the region.
This research report comprises a study on development and marketing strategies as well as a study on product portfolios and winning strategies of key companies operating in the AI-enabled X-ray Imaging Solutions market .. It also includes profiles of leading companies such as Carestream Health, Inc., Arterys, Inc., Enlitic, Inc., General Electric Company, Infervision Medical Technology Co. Ltd., Konica Minolta, Inc., Lunit, Inc., Agfa -Gevaert NV, Behold.AI Technologies Limited, Imagen Technologies, Inc., Quibim SL, Siemens Healthineers AG, Vuno Co. Ltd., Qure.AI Technologies Pvt. Ltd., and Zebra Medical Vision, Inc.. These market players have focused on acquisitions and expansion to gain greater market share in the AI-enabled X-ray imaging solutions market.
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