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 2024, the Global AI-powered Computed Tomography Diagnostic Imaging Market was valued at $ 1.51 Billion, and is projected to reach a market size of $ 9.23 Billion by 2030. Over the forecast period of 2025-2030, market is projected to grow at a CAGR of 25.4 %.

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The AI-powered Computed Tomography (CT) Diagnostic Imaging Market has been witnessing significant growth over the years, driven by several factors. One long-term market driver is the increasing prevalence of chronic diseases such as cancer and cardiovascular disorders, leading to a growing demand for advanced diagnostic imaging solutions. The COVID-19 pandemic has further accelerated this trend, as healthcare facilities worldwide have been focusing on enhancing their diagnostic capabilities to manage the pandemic effectively. The adoption of AI-powered CT imaging has played a crucial role in this regard, enabling healthcare providers to diagnose and treat patients more efficiently.

In the short term, one of the key market drivers is the increasing focus on personalized medicine. As healthcare providers strive to deliver more personalized and targeted treatments, the demand for advanced diagnostic imaging solutions, such as AI-powered CT imaging, is expected to rise. Additionally, the growing geriatric population is fueling the demand for diagnostic imaging services, driving market growth.

An opportunity in the AI-powered CT diagnostic imaging market lies in the integration of artificial intelligence (AI) and machine learning (ML) technologies. These technologies have the potential to revolutionize the field of medical imaging by improving the accuracy and efficiency of diagnoses. AI-powered algorithms can analyze CT images quickly and accurately, helping healthcare providers to make more informed decisions about patient care.

One trend observed in the industry is the increasing adoption of cloud-based imaging solutions. Cloud-based imaging allows healthcare providers to store, access, and share medical images securely and efficiently. This trend is driven by the need for remote access to imaging data, especially in the wake of the COVID-19 pandemic, which has led to an increased reliance on telemedicine and remote healthcare services.

Segmentation Analysis:
The global AI-powered Computed Tomography Diagnostic Imaging Market segmentation includes:
By Type: Low Slice, Medium Slice, High Slice
By Type, the high slice segment dominates the market, accounting for the majority of the revenue share of over 34.8% in 2023. The growing demand for accurate diagnostic imaging solutions is the major factor predicted to drive this segment. It also emits 80% less radiation compared to mid-end slice technology, which has 64 slices. These devices also provide detailed images of obese patients.

By Solution: Software Tools/Platform.
Services: Integration, Deployment
By Solution, the services segment, which includes integration and deployment, is experiencing significant growth. This segment caters to the increasing need for the seamless integration of AI-powered diagnostic imaging tools and the efficient deployment of these systems in healthcare settings, ensuring optimal performance and user satisfaction.
By Technology: Deep Learning, Computer Vision, Others
By Technology, deep learning is the largest segment, offering advanced capabilities for analyzing complex medical images. This technology leverages large datasets to improve diagnostic accuracy and provide detailed insights, making it a preferred choice for AI-powered computed tomography diagnostic imaging.

By Application: Oncology, Neurology, Cardiovascular, Musculoskeletal, Others
By Application, oncology holds the largest market share due to the rising prevalence of cancer and the need for precise diagnostic tools to detect and monitor the disease. AI-powered CT imaging in oncology helps in early detection, treatment planning, and monitoring of tumor response, contributing to better patient outcomes.

By End User: Hospitals, Clinics, Diagnostic Centres, R&D Centres, Others
By End User, the clinics segment holds the largest revenue share of around 19% in 2023. Clinics are increasingly using advanced technologies like AI algorithms, machine learning, and IoT to streamline workflow. AI-powered image analytics assist clinics in reducing scan time, improving operational efficiency, and cutting costs.

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Regional Analysis:
By Region, North America holds the largest market share of over 38.12% in 2023 and is predicted to continue its dominance in the coming years. The presence of a large number of key market players and the growing incidence rate of diseases are major driving factors propelling market growth in the region. The Asia-Pacific region accounts for over 23% of the business share in 2023 and is likely to grow at a substantial rate over the forecast timeline. The healthcare sector in this region is showcasing robust technological transformation, with increasing disposable income in economies such as India, China, and Japan offering lucrative opportunities for new market entrants.

Latest Industry Developments:
Investment in Research and Development: Companies in the AI-powered computed tomography diagnostic imaging market are increasingly investing in research and development activities to enhance their product offerings. This includes the development of advanced AI algorithms, machine learning models, and software tools that improve diagnostic accuracy and image quality. By focusing on R&D, companies aim to stay ahead of the competition and meet the evolving demands of healthcare providers for more efficient and effective diagnostic imaging solutions.

Collaborations and Partnerships: Another trend observed in the market is the emphasis on collaborations and partnerships. Companies are partnering with healthcare institutions, research organizations, and technology companies to leverage their expertise and resources. These collaborations help in the development of innovative solutions, access to new markets, and sharing of best practices. Recent partnerships include those focusing on integrating AI-powered imaging technologies with existing healthcare systems, leading to improved patient outcomes and operational efficiency.

Expansion into Emerging Markets: Companies are also focusing on expanding their presence in emerging markets, especially in Asia-Pacific and Latin America. These regions offer significant growth opportunities due to the increasing healthcare expenditure, rising adoption of advanced medical technologies, and growing awareness about the benefits of AI-powered diagnostic imaging. Companies are establishing local partnerships, setting up distribution networks, and customizing their products to meet the specific needs of these markets.

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This release was published on openPR.