The market size of the Global AI-Enabled X-Ray Imaging Solutions market in the year 2021 is valued at 114.82 million and is predicted to reach 508.32 million by the year 2030 at a 18.05% CAGR during the forecast period.
X-Ray Imaging Solutions have been a crucial part of the healthcare industry across the world over the past decades and they are expected to be crucial aspects over the coming years as well. The increasing digitization of the healthcare industry and rising technological advancements are expected to be prominent factors driving the adoption of AI-Enabled X-Ray Imaging Solutions on a global scale. Increasing demand for technologically advanced products and the rising popularity of AI in the global landscape will also act in favor of AI-Enabled X-Ray Imaging Solutions market growth through 2028. Increasing demand for better imaging solutions by patients and healthcare professionals is expected to prominently drive AI-Enabled X-Ray Imaging Solutions market growth over the forecast period. The increasing prevalence of chronic diseases, rising geriatric population, and increasing investments in research and development of imaging systems will also propel AI-Enabled X-Ray Imaging Solutions market growth through 2028.
However, the high costs of AI-Enabled X-Ray Imaging Solutions and the lack of skilled professionals to operate the same will have a hindering effect on the global growth potential across the forecast period. Increasing demand for radiology diagnostics will also aid market growth.
The AI-Enabled X-Ray Imaging Solutions market is segmented on the basis of products, mode of deployment, workflow and application. On the basis of products, the market is segmented as software and hardware. Based on mode of deployment, the market is segmented into Cloud-Based and Web-Based Solutions and On-Premises Solutions. By application, the market is segmented into General Radiology and Specialty Radiology. By workflow, the market is segmented into Detection, Image Acquisition, Image Analysis, Diagnosis and Treatment Decision Support, Triage, Predictive Analysis and Risk Assessment, Reporting and Communication.
Based on product, the hardware segment to see good growth
It is projected that the hardware segment would dominate the market in terms of both revenue and volume share. Increasing demand for new hardware components for advanced AI systems will drive growth in this segment. On the other hand, growing advancements in software technologies will create lucrative opportunities for the software segment over the forecast period.
Detection to be the key workflow
AI-Enabled X-Ray Imaging Solutions are mainly deployed for diagnostic procedures and are primarily used for the same across the world. This creates a major scope of growth for the detection segment as it is the crucial step in diagnosis and treatment procedures and is the initial step to determine the cause and nature of the ailment. Image acquisition and image analysis services are expected to see high demand as the complexity of these new AI enable images increases with increasing parameters to analyze.
In the region, the North America AI-Enabled X-Ray Imaging Solutions market holds a dominant outlook.
North America accounted for a major market share in the global AI-Enabled X-Ray Imaging Solutions market landscape and is projected to uphold this stance over the forecast period as well. The presence of developed healthcare infrastructure, rapid adoption of advanced technologies, increasing demand for radiology diagnostics procedures, and high healthcare spending potential are anticipated to be significant factors governing the AI-Enabled X-Ray Imaging Solutions market potential in this region over the forecast period. The rising prevalence of cancer and the high availability of AI-Enabled X-Ray Imaging Solutions are other factors that guide AI-Enabled X-Ray Imaging Solution market growth through 2030 in the United States, which is expected to be the major market in this region in the coming years.
Players in the AI-Enabled X-Ray Imaging Solutions market are Agfa-Gevaert NV, Arterys, Inc, Behold.AI Technologies Limited, Carestream Health, Inc, Enlitic, Inc, General Electric Company, Imagen Technologies, Inc., Infervision Medical Technology Co. Ltd., Konica Minolta, Inc., Lunit, Inc., Quibim, S.L., Qure.ai Technologies Pvt. Ltd., Siemens Healthineers AG, Vuno Co., Ltd., Zebra Medical Vision, Inc., Other Prominent Players.