AI-Enabled X-Ray Imaging Solutions Market worth USD 569.6 million by 2030

The Market Statsville Group (MSG) publishes the new report on the "AI-Enabled X-Ray Imaging Solutions Market by Product Type (Hardware and Software), by Work Flow (Image Acquisition, Diagnosis and Treatment Decision Support, Image Analysis, Detection, Predictive Analysis and Risk Assessment, Triage, and Reporting and Communications), by Mode of Deployment Mode (Cloud and Web-Based Solutions and On-Premises Solutions), by Therapeutic Application (General Imaging and Specialty Imaging), by Region – Global Share and Forecast to 2030". The global AI-enabled X-Ray imaging solutions market is projected to grow at a CAGR of 20.2% to reach USD 569.6 million by 2030 from USD 101.6 million in 2021. The integration of machine learning, deep learning, convolutional neural networks, and natural language processing tools has transformed the field of medical imaging. With the integration of AI, medical imaging is evolving as a better, faster, stronger, and more efficient discipline, thereby providing lucrative opportunities for the manufacturers. For instance, deep learning algorithms are known to reduce a 45-minute MRI scan of the brain involving multiple scans to only several minutes scan without compromising the quality or accuracy. Contributing to these advantages, the investors in medical imaging are leaning toward developing innovative software solutions that possess the potential to mimic cognitive behaviors, thereby improving the associated workflows. Significant research is being conducted to develop novel AI-enabled medical imaging solutions without sufficient consideration of commercialization potential, reimbursement, and other related concerns. This research is being funded by both the government and private investors.

Global AI-Enabled X-Ray Imaging Solutions Market Segmentation

The overall AI-enabled X-Ray imaging solutions market has been segmented into the product, workflow, deployment mode, therapeutic application, and region.

• By Product Type (Hardware and Software)
• By Work Flow (Image Acquisition, Image Analysis, Detection, Diagnosis and Treatment Decision Support, Predictive Analysis and Risk Assessment, Triage, and Reporting and Communications)
• By Mode of Deployment Mode (Cloud and Web-Based Solutions and On-Premises Solutions)
• By Therapeutic Application (General Imaging and Specialty Imaging)
• By Region (US, Canada, Mexico, UK, Germany, France, Italy, Spain, China, Japan, India, South Korea, Southeast Asia, Australia, Saudi Arabia, UAE, South Africa, Qatar, Nigeria, Israel, Brazil, Argentina, Peru)

Image acquisition, by workflow, is estimated to hold the largest market share during the forecast period

The global AI-enabled X-Ray imaging solutions market is segmented into image acquisition, image analysis, detection, diagnosis and treatment decision support, predictive analysis and risk assessment, triage, and reporting and communications based on workflow. The global AI-enabled X-Ray imaging solutions market was dominated by image acquisition in 2021. Image acquisition in medical imaging refers to the representation of the visual characteristics of an organ or a body part. Acquiring the images or performing a scan has been more dependent on the hardware of the modality, such as capturing sensors or graphic processing units. Also, due to conventional ways of acquiring images, it relies on the technologist's experience taking the scan, communication with the radiologist or a physician, and the amount of radiation dose given to the patient.

Therefore, quality control at this step of the radiology workflow becomes a challenge with even a few factors mentioned above. However, with the poised use of AI technology, these challenges are being addressed. Moreover, with the advancement of hardware and storage capacity, it is possible to handle many acquired data in the present scenario. AI holds immense potential for faster data collection and reconstruction, and it can also be used for enhancing the information provided by the images.

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North America accounts for the largest market share in the AI-enabled X-Ray imaging solutions market in 2021

Based on the regions, the global AI-enabled X-Ray imaging solutions market has been segmented across North America, Asia-Pacific, Europe, South America, and the Middle East & Africa. North America dominates the global AI-enabled Ray imaging solutions market with a market share of 56.1% in 2021. Major factors such as the presence of leading providers of AI solutions and rising adoption of AI-enabled X-Ray imaging solutions are responsible for North America holding the highest share in the market.

AI has a strong potential to transform imaging and save the time or effort of radiologists when diagnosing and treating patients. According to a survey by Definitive Healthcare, in the U.S., approximately one-third of hospitals and imaging centers are using artificial intelligence, machine learning, and deep learning in imaging or business operations. The increasing number of strategic collaborations and the expanding scope of application of AI in medical imaging are other major factors contributing to the market growth in North America. For instance, NVIDIA Corporation and the American College of Radiology entered into a collaboration to increase the adoption of AI in diagnostic radiology across thousands of hospitals in the region.

This research report includes a study on the development and marketing strategies, along with a study on the product portfolios and winning strategies of the leading companies operating in the AI-enabled X-Ray imaging solutions market. It also consists of the 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 S.L., 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 a larger market share in the AI-enabled X-Ray imaging solutions market.

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