Artificial Intelligence (AI) in Radiology Market (Technique - CT, X- ray, MRI, Ultrasound, and PET; Application - Computer-aided Diagnosis, Clinical Decision Support, Quantitative Analysis Tools, and Computer-aided Detection; Radiology Type - Mammography, Chest Imaging, Neurology, Colonography, Cardiovascular, Head CT Scan, and Others): Global Industry Analysis, Trends, Size, Share and Forecasts to 2030

A recent report published by Infinium Global Research on artificial intelligence (AI) in radiology market provides in-depth analysis of segments and sub-segments in the global as well as regional artificial intelligence (AI) in radiology market. The study also highlights the impact of drivers, restraints, and macro indicators on the global and regional artificial intelligence (AI) in radiology market over the short term as well as long term. The report is a comprehensive presentation of trends, forecast and dollar values of global artificial intelligence (AI) in radiology market.

Market Insight:

The global Artificial Intelligence (AI) in radiology market was valued at USD 1.03 billion in 2022 and is expected to reach USD 14.82 billion in 2030, with a CAGR of 34.58% during the forecast period 2023-2030.

Artificial Intelligence (AI) in radiology involves the integration of advanced technologies to improve diagnostic methods within the field of medical imaging. The market comprises the application of AI algorithms and machine learning techniques to interpret radiological images with increased accuracy and efficiency. Artificial Intelligence (AI) solutions in radiology help medical professionals detect and analyze abnormalities in images such as CT, MRI, and X-rays, leading to better diagnostic results. By using the power of AI, this market intends to improve resource efficiency in radiology departments, minimize diagnostic errors, and streamline the workflow for interpretation. As the healthcare industry increasingly adopts digital transformation, the AI in radiology market plays a crucial role in advancing precision medicine and improving the level of care provided by medical imaging procedures.

The improvement in diagnostic accuracy and efficiency drives the growth of Artificial Intelligence (AI) in the radiology market. AI systems examine medical images with unprecedented precision, aiding radiologists in identifying minute abnormalities and enhancing overall diagnostic results. Due to the increased accuracy, there is a lower chance of misdiagnosis, which results in more efficient and rapid patient care. Additionally, the growth of the market is actuated by workflow streamlining and heightened output. AI in radiology optimizes workflow processes, contributing to enhanced operational efficiency within healthcare facilities. The automation of repetitive processes, such as image processing and report creation, allows radiologists to concentrate on complicated patient care aspects. This allows radiologists to focus on complex patient care tasks since repetitive activities such as image processing and report creation are automated. This efficiency boost improves the diagnostic process and helps manage the growing volume of medical imaging studies, ultimately improving patient health and healthcare resource utilization. However, complex regulatory frameworks in radiology hamper the market growth. Furthermore, the increasing demand for telemedicine and remote patient monitoring creates significant opportunities for market growth.

North America holds the largest market share in Artificial Intelligence (AI) in the radiology market. The region’s supremacy is attributed to its sophisticated healthcare facilities, research and development investments, and early implementation of Artificial Intelligence (AI) in radiology. North America holds a significant position as a center for AI integration, leading innovations and influencing the direction of AI applications in radiological diagnostics due to its developed market ecosystem and elevated awareness among healthcare professionals. Meanwhile, the Asia-Pacific region is expected to witness the fastest-growing region in the global AI in radiology market. The Asia-Pacific region's growth is attributed to increasing healthcare investments, a growing awareness of the advantages offered by AI in diagnostics, and a rising prevalence of chronic diseases. The region's commitment to technological advancements, coupled with the increasing need for sophisticated healthcare solutions, positions it as a dynamic market with substantial potential. The market is anticipated to grow at a rapid pace as healthcare providers in Asia-Pacific adopt AI-powered radiological tools, offering profitable opportunities for industry participants in this dynamic and changing environment.

Report Scope of the Artificial Intelligence (AI) in Radiology Market:

Segment Covered

The report on global Artificial Intelligence (AI) in the radiology market covers segments such as technique, application, and radiology type. On the basis of technique, the sub-markets include CT, X- ray, MRI, Ultrasound, and PET. On the basis of application, the sub-markets include computer-aided diagnosis, clinical decision support, quantitative analysis tools, and computer-aided detection. On the basis of radiology type, the sub-markets include mammography, chest imaging, neurology, colonography, cardiovascular, head CT scan, and others.

Companies Profiled:

The report provides profiles of the companies in the market such as Gleamer, Microsoft (U.S.), NVIDIA Corporation, Intel Corporation, Google, Siemens Healthineers, GE HealthCare (U.S.), Digital Diagnostics Inc., icometrix, and Enlitic, Inc..

Report Highlights:

The report provides deep insights into demand forecasts, market trends, and micro and macro indicators. In addition, this report provides insights into the factors that are driving and restraining the growth in this market. Moreover, The IGR-Growth Matrix analysis given in the report brings an insight into the investment areas that existing or new market players can consider. The report provides insights into the market using analytical tools such as Porter's five forces analysis and DRO analysis of the artificial intelligence (AI) in radiology market. Moreover, the study highlights current market trends and provides forecasts from 2023-2030. We also have highlighted future trends in the market that will affect the demand during the forecast period. Moreover, the competitive analysis given in each regional market brings an insight into the market share of the leading players.