Global AI-powered Computed Tomography Diagnostic Imaging Market is projected to reach the value of $9.23 billion by 2030

According to the report published by Virtue Market Research , In 2022, the Global AI-powered Computed Tomography Diagnostic Imaging Market was valued at $1.52 billion, and is projected to reach a market size of $9.23 billion by 2030. Over the forecast period of 2023-2030, market is projected to grow at a CAGR of 25.24%. In recent years, the field of diagnostic imaging has witnessed a transformative shift with the integration of artificial intelligence (AI) into computed tomography (CT) technology. AI-powered CT diagnostic imaging holds immense potential for revolutionizing patient care, providing accurate diagnoses, and enhancing overall healthcare outcomes.

A key long-term market driver propelling the growth of AI-powered CT diagnostic imaging is the increasing prevalence of chronic diseases worldwide. Chronic diseases, such as cancer, cardiovascular ailments, and neurological disorders, require timely and accurate diagnosis for effective treatment. AI algorithms integrated with CT imaging systems enable radiologists to analyze vast amounts of imaging data swiftly, aiding in the early detection and characterization of diseases. This not only enhances diagnostic accuracy but also facilitates personalized treatment plans, ultimately improving patient outcomes.

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Furthermore, the COVID-19 pandemic has had a significant impact on the AI-powered CT diagnostic imaging market. The unprecedented global health crisis led to an increased demand for CT scans as an essential diagnostic tool for evaluating lung abnormalities associated with COVID-19 infection. AI algorithms applied to CT images played a pivotal role in assisting radiologists in the rapid and accurate diagnosis of COVID-19, enabling prompt clinical decision-making and facilitating patient management.

One notable short-term market driver in the AI-powered CT diagnostic imaging industry is the growing adoption of advanced imaging techniques in emerging economies. As these countries witness a rise in healthcare infrastructure development and increased awareness about the benefits of early diagnosis, the demand for AI-powered CT imaging systems is expected to surge. The affordability of these systems, coupled with their ability to deliver quick and accurate results, makes them an attractive option for healthcare providers in resource-constrained settings.

An exciting opportunity within the AI-powered CT diagnostic imaging market lies in the development of cloud-based imaging solutions. Cloud-based platforms offer numerous advantages, including secure data storage, remote accessibility, and seamless integration with other healthcare systems. By harnessing the power of the cloud, healthcare providers can leverage AI algorithms for CT analysis, enabling collaboration among experts and facilitating second opinions. Cloud-based solutions also hold the potential for real-time monitoring and analysis of patient data, enhancing efficiency and enabling timely interventions.

One prominent trend observed in the AI-powered CT diagnostic imaging industry is the integration of deep learning techniques. Deep learning algorithms have shown remarkable success in image recognition, segmentation, and classification tasks. When applied to CT imaging, these algorithms can assist in the automated detection and characterization of abnormalities, enabling radiologists to expedite their workflow and focus on more complex cases. Deep learning techniques also pave the way for the development of predictive analytics, aiding in the identification of high-risk patients and supporting proactive interventions.

Segmentation Analysis:

The global AI-powered Computed Tomography Diagnostic Imaging Market segmentation includes:
By Type: Low Slice, Medium Slice, High Slice
Within the AI-powered Computed Tomography (CT) diagnostic imaging market, different types of CT scanners are available, each catering to specific imaging requirements. The three primary types are Low Slice, Medium Slice, and High Slice scanners.
Among these types, the High Slice CT scanners stand out as the largest segment in terms of market share. High Slice scanners are designed to capture detailed images of the human body with exceptional precision, allowing healthcare professionals to visualize anatomical structures and detect abnormalities with greater clarity. Their ability to provide high-resolution images makes them indispensable in the diagnosis of complex medical conditions.

Moreover, the High Slice segment is expected to be the fastest-growing during the forecast period. Advancements in technology, such as improved detector arrays and faster image acquisition capabilities, have contributed to the growing adoption of High Slice CT scanners. These scanners offer higher image quality and faster scan times, resulting in improved patient throughput and enhanced diagnostic accuracy. The increasing demand for efficient and accurate imaging solutions is driving the growth of the High Slice segment within the AI-powered CT diagnostic imaging market.

By Solution: Software Tools/Platforms, Services (Integration, Deployment)
Services emerge as the largest segment in terms of market size. Integration and Deployment services play a crucial role in ensuring the seamless implementation and operation of AI-powered CT diagnostic imaging systems. These services encompass the installation, configuration, and integration of hardware and software components, enabling healthcare providers to leverage the full potential of AI algorithms and optimize their workflow.

On the other hand, Tools/Platforms represent the fastest-growing segment within the AI-powered CT diagnostic imaging market. Tools and platforms provide the necessary infrastructure and software applications that facilitate the integration and analysis of CT images with AI algorithms. With the increasing demand for AI-powered diagnostic solutions, the adoption of advanced tools and platforms is witnessing a substantial surge. These tools empower healthcare professionals to leverage the benefits of AI algorithms for efficient image analysis, accurate diagnosis, and personalized treatment planning.

By Technology: Deep Learning, Computer Vision, Others

Deep Learning emerges as the largest segment in this technology category. Deep Learning algorithms have revolutionized the field of medical imaging by enabling automated detection, segmentation, and classification of abnormalities in CT scans. These algorithms leverage artificial neural networks to analyze vast amounts of imaging data, aiding radiologists in diagnosing diseases more accurately and efficiently. The robust performance of Deep Learning algorithms in CT image analysis has resulted in their widespread adoption within the industry.

Furthermore, the fastest-growing technology segment during the forecast period is Computer Vision. Computer Vision technology focuses on extracting meaningful information from digital images or videos. In the context of AI-powered CT diagnostic imaging, Computer Vision algorithms assist in the identification and characterization of anatomical structures, lesions, and other abnormalities in CT scans. The ability to precisely detect and analyze such features in CT images enhances the diagnostic accuracy and enables more effective treatment planning. The growing demand for Computer Vision technology stems from its potential to optimize radiologists' workflow and improve patient outcomes.

By Application: Oncology, Neurology, Cardiovascular, Musculoskeletal, Others

Oncology stands out as the largest application segment within the AI-powered CT diagnostic imaging market. The use of AI algorithms in CT imaging has significantly improved cancer detection, staging, and monitoring. These algorithms aid in the identification of suspicious lesions, quantification of tumor characteristics, and assessment of treatment response. The integration of AI-powered CT diagnostic imaging solutions has not only enhanced the precision of oncological diagnoses but has also facilitated personalized treatment strategies for cancer patients.

The fastest-growing application segment during the forecast period is Neurology. AI-powered CT diagnostic imaging plays a vital role in the diagnosis and treatment of neurological disorders, including strokes, brain tumors, and neurodegenerative diseases. By leveraging advanced algorithms, CT scans can be analyzed for early detection of abnormalities, enabling timely interventions and improved patient outcomes. The growing demand for accurate and efficient neuroimaging solutions has led to the rapid adoption of AI-powered CT diagnostic imaging techniques in the field of neurology.

By End User: Hospitals, Clinics, Diagnostic Centres, R&D Centres, Others

Clinics emerge as the largest end user segment. Clinics, both independent and those associated with healthcare systems, have witnessed a surge in the adoption of AI-powered CT diagnostic imaging. These clinics benefit from the compact size, affordability, and improved imaging capabilities of AI-powered CT scanners, making them well-suited for use in outpatient settings. The availability of AI algorithms integrated into CT imaging systems enables clinics to provide accurate diagnoses and enhance patient care within a convenient and accessible environment.

Additionally, the fastest-growing end user segment during the forecast period is Diagnostic Centers. Diagnostic centers play a pivotal role in providing specialized imaging services to patients, offering a comprehensive range of diagnostic procedures. The integration of AI-powered CT diagnostic imaging in these centers has resulted in improved efficiency, enhanced accuracy, and reduced turnaround time for test results. The ability of AI algorithms to analyze CT images swiftly and accurately supports the diagnostic centers' goal of delivering precise and timely diagnoses, thus driving the growth of this segment.

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Regional Analysis:

North America holds the largest market share in the AI-powered CT diagnostic imaging market. The region benefits from a well-established healthcare infrastructure, advanced research facilities, and extensive technological advancements. Furthermore, favorable reimbursement policies and increased investment in healthcare contribute to the widespread adoption of AI-powered CT diagnostic imaging in North America. The presence of key market players and collaborations between research institutions and industry further fuel the growth of this regional segment.

Conversely, the Asia-Pacific region showcases the fastest growth rate during the forecast period. The region is witnessing rapid advancements in healthcare infrastructure, increasing healthcare expenditure, and a growing focus on improving diagnostic capabilities. Countries like China, India, and Japan are at the forefront of adopting AI-powered CT diagnostic imaging, driven by the rising burden of chronic diseases and a growing emphasis on early disease detection. Moreover, the increasing investments in research and development activities in the region, coupled with government initiatives promoting healthcare innovation, contribute to the accelerated growth of the AI-powered CT diagnostic imaging market in Asia-Pacific.

Latest Industry Developments:

• In September 2021, GE Healthcare launched Revolution Apex, a new generation of intelligent CT scanners that leverage deep learning to deliver high-quality images with lower radiation dose and faster scan times.

• In August 2021, Siemens Healthineers completed the acquisition of Varian Medical Systems, a leader in radiation oncology and multidisciplinary cancer care, further enhancing their portfolio of imaging and therapy solutions for cancer patients.

• In July 2021, Philips Healthcare announced a partnership with NucleusHealth, a provider of cloud-based medical image management solutions. The collaboration aims to integrate Philips' IntelliSpace Enterprise Imaging Solution with NucleusHealth's cloud-native image management platform, offering enhanced scalability, security, and interoperability for medical imaging.

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Virtue Market Research is a strategic management firm helping companies to tackle most of their strategic issues and make informed decisions for their future growth. We offer syndicated reports and consulting services. Our reports are designed to provide insights on the constant flux in the global demand-supply gap of markets.

This release was published on openPR.