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    Artificial Intelligence AI in Medical Imaging Market

    ID: MRFR/HC/10304-HCR
    128 Pages
    Rahul Gotadki
    October 2025

    Artificial Intelligence (AI) in Medical Imaging Market Size, Growth Research Report By Technology (Deep Learning, Natural Language Processing, Others), By Component (Solutions, Services), By Modalities (Computed Tomography, X-rays, Magnetic Resonance Imaging, Ultrasound, Others), By Indication (Oncology, Neurology, Cardiology, Orthopaedic, Gynaecology, Others), By Application (Clinical Decision Support, Computer-aided Diagnosis, Computer-aided Detection) - Competitor Industry Analysis and Trends Forecast Till 2035

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    Artificial Intelligence AI in Medical Imaging Market Summary

    As per MRFR analysis, the Artificial Intelligence AI in Medical Imaging Market was estimated at 3.391 USD Billion in 2024. The AI in medical imaging industry is projected to grow from 3.992 USD Billion in 2025 to 20.44 USD Billion by 2035, exhibiting a compound annual growth rate (CAGR) of 17.74 during the forecast period 2025 - 2035.

    Key Market Trends & Highlights

    The Artificial Intelligence AI in Medical Imaging Market is poised for substantial growth driven by technological advancements and increasing demand for diagnostic accuracy.

    • The integration of AI with imaging modalities is transforming diagnostic processes in North America, the largest market.
    • Workflow optimization remains a focal point, enhancing efficiency in medical imaging across Asia-Pacific, the fastest-growing region.
    • Personalized imaging solutions are gaining traction, particularly within the deep learning segment, which holds the largest market share.
    • Rising demand for diagnostic accuracy and increased investment in healthcare technology are key drivers propelling market expansion.

    Market Size & Forecast

    2024 Market Size 3.391 (USD Billion)
    2035 Market Size 20.44 (USD Billion)
    CAGR (2025 - 2035) 17.74%

    Major Players

    Siemens Healthineers (DE), GE Healthcare (US), Philips Healthcare (NL), IBM Watson Health (US), Canon Medical Systems (JP), Fujifilm Holdings Corporation (JP), Zebra Medical Vision (IL), Aidoc (IL), PathAI (US), Arterys (US)

    Artificial Intelligence AI in Medical Imaging Market Trends

    The Artificial Intelligence AI in Medical Imaging Market is currently experiencing a transformative phase, characterized by rapid advancements in technology and increasing integration of AI solutions in healthcare settings. This market appears to be driven by the growing demand for enhanced diagnostic accuracy and efficiency in medical imaging processes. Healthcare providers are increasingly adopting AI tools to assist radiologists in interpreting images, thereby improving patient outcomes and streamlining workflows. Furthermore, the collaboration between technology firms and healthcare institutions seems to be fostering innovation, leading to the development of sophisticated algorithms that can analyze imaging data with remarkable precision. In addition, regulatory bodies are beginning to establish frameworks that support the safe and effective use of AI in medical imaging. This regulatory environment may encourage further investment and research in the field, as stakeholders seek to comply with emerging standards. The market also indicates a trend towards personalized medicine, where AI systems are utilized to tailor imaging techniques and interpretations to individual patient needs. As the landscape evolves, it is likely that the Artificial Intelligence AI in Medical Imaging Market will continue to expand, driven by technological advancements and a commitment to improving healthcare delivery.

    Integration of AI with Imaging Modalities

    The integration of artificial intelligence with various imaging modalities, such as MRI, CT, and ultrasound, is becoming increasingly prevalent. This trend suggests that AI algorithms are being developed to enhance image quality and facilitate more accurate diagnoses. By leveraging machine learning techniques, these systems can assist healthcare professionals in identifying anomalies that may be overlooked by the human eye.

    Focus on Workflow Optimization

    There is a growing emphasis on optimizing workflows within medical imaging departments through the use of AI technologies. This trend indicates that healthcare facilities are seeking to reduce turnaround times for imaging studies and improve operational efficiency. AI solutions are being implemented to automate routine tasks, allowing radiologists to concentrate on more complex cases and enhancing overall productivity.

    Personalized Imaging Solutions

    The shift towards personalized medicine is influencing the development of tailored imaging solutions powered by artificial intelligence. This trend implies that AI systems are being designed to adapt imaging protocols based on individual patient characteristics, potentially leading to more accurate assessments and improved treatment plans. As a result, the focus on personalized approaches may reshape the future of medical imaging.

    Artificial Intelligence AI in Medical Imaging Market Drivers

    Growing Aging Population

    The growing aging population is a critical driver for the Artificial Intelligence AI in Medical Imaging Market. As the global demographic landscape shifts, the prevalence of age-related health conditions is on the rise, necessitating advanced imaging solutions for accurate diagnosis and treatment. Older adults often require more frequent medical imaging, which places additional demands on healthcare systems. AI technologies are increasingly being adopted to streamline imaging processes, reduce wait times, and enhance diagnostic capabilities. Projections indicate that by 2030, the number of individuals aged 65 and older will surpass 1 billion, further amplifying the need for efficient and effective medical imaging solutions. This demographic trend underscores the importance of integrating AI into imaging practices to meet the evolving healthcare needs of the aging population.

    Regulatory Support for AI Integration

    Regulatory support for AI integration is emerging as a vital driver for the Artificial Intelligence AI in Medical Imaging Market. Regulatory bodies are recognizing the potential benefits of AI technologies in enhancing diagnostic accuracy and patient safety. As a result, there is a growing trend towards establishing frameworks that facilitate the approval and implementation of AI-driven imaging solutions. Recent initiatives have been launched to streamline the regulatory process for AI applications in healthcare, which could lead to faster market entry for innovative products. This supportive regulatory environment is likely to encourage investment and research in AI technologies, fostering a more robust market landscape. As of October 2025, the alignment of regulatory policies with technological advancements appears to be a promising development for the future of AI in medical imaging.

    Rising Demand for Diagnostic Accuracy

    The increasing emphasis on diagnostic accuracy is a primary driver for the Artificial Intelligence AI in Medical Imaging Market. Healthcare providers are under pressure to enhance patient outcomes, leading to a growing reliance on AI technologies that can analyze imaging data with remarkable precision. According to recent estimates, the market for AI in medical imaging is projected to reach USD 2.5 billion by 2026, reflecting a compound annual growth rate of approximately 30%. This surge is largely attributed to the ability of AI algorithms to detect anomalies that may be overlooked by human radiologists, thereby improving diagnostic confidence and reducing the likelihood of misdiagnosis. As healthcare systems strive for excellence in patient care, the integration of AI into imaging practices appears to be an essential strategy.

    Technological Advancements in AI Algorithms

    Technological advancements in AI algorithms are significantly propelling the Artificial Intelligence AI in Medical Imaging Market. Innovations in machine learning and deep learning techniques have enhanced the capabilities of AI systems, enabling them to process vast amounts of imaging data efficiently. These advancements facilitate the development of sophisticated algorithms that can identify patterns and anomalies in medical images with unprecedented accuracy. The market is witnessing a surge in AI applications, particularly in radiology, pathology, and oncology, where the demand for precise imaging analysis is paramount. As of 2025, the market is expected to experience a robust growth trajectory, driven by the continuous evolution of AI technologies that promise to revolutionize diagnostic imaging.

    Increased Investment in Healthcare Technology

    Increased investment in healthcare technology is a significant driver for the Artificial Intelligence AI in Medical Imaging Market. Governments and private entities are channeling substantial funds into healthcare innovation, recognizing the potential of AI to transform medical imaging practices. This influx of capital is fostering research and development initiatives aimed at creating advanced AI solutions that enhance imaging accuracy and efficiency. For instance, funding for AI-driven imaging projects has seen a notable rise, with estimates suggesting that investments could exceed USD 1 billion annually by 2025. Such financial backing not only accelerates technological advancements but also encourages collaboration between tech companies and healthcare providers, further solidifying the role of AI in medical imaging.

    Market Segment Insights

    By Technology: Deep Learning (Largest) vs. Natural Language Processing (Fastest-Growing)

    In the Artificial Intelligence AI in Medical Imaging Market, the technology segment exhibits a notable distribution with Deep Learning leading the way as the primary component due to its robust capabilities in image recognition and analysis. This segment captures a substantial share as healthcare providers increasingly adopt deep learning algorithms for radiology, enhancing diagnostic accuracy and efficiency. Natural Language Processing, while smaller in share, is witnessing rapid acceptance, particularly for unstructured data analysis in medical records and communication, making it a significant player in the market.

    Technology: Deep Learning (Dominant) vs. Natural Language Processing (Emerging)

    Deep Learning has established itself as the dominant technology in the AI in Medical Imaging sector, primarily due to its capacity for processing complex imaging data and improving diagnostic precision. Healthcare professionals benefit from its ability to continuously learn and improve from vast datasets, allowing for more accurate predictions and assessments. On the other hand, Natural Language Processing is emerging as a crucial technology that enhances the way data from various text sources is interpreted. It assists clinicians in extracting meaningful insights from medical literature and patient notes, thus streamlining workflows and augmenting decision-making processes. Both technologies are integral to transforming medical imaging, with their unique strengths catering to different aspects of healthcare.

    By Component: Solutions (Largest) vs. Services (Fastest-Growing)

    The 'Component' segment of the Artificial Intelligence AI in Medical Imaging Market reveals an interesting distribution of market share between Solutions and Services. Solutions dominate the segment, accounting for a substantial portion of the overall market. This includes software platforms and imaging tools that utilize AI technologies to enhance diagnosis and treatment planning. In contrast, the Services component, which includes consulting, implementation, and training for AI applications, is rapidly gaining traction, reflecting a shift towards integrated support and service-oriented solutions. Growth trends within this segment suggest that as healthcare providers increasingly adopt AI solutions, the demand for services is expected to grow correspondingly. Factors driving this growth include the rising complexity of AI technologies, necessitating expert support, and the need for continuous updates and maintenance of these advanced systems. Additionally, the increased awareness of the benefits of AI in improving patient outcomes is further propelling the services sector in this market.

    Solutions (Dominant) vs. Services (Emerging)

    The Solutions segment in the Artificial Intelligence AI in Medical Imaging Market remains dominant due to its foundational role in providing essential AI-based imaging tools that enhance diagnostic accuracy and operational efficiency. These solutions encompass sophisticated software algorithms and integrated imaging devices that significantly improve the analysis and interpretation of medical images. On the other hand, the Services segment is emerging as a key player, driven by the growing need for implementation support, training, and consulting services as healthcare institutions transition towards AI-driven solutions. This shift underscores the dependence on expert guidance to navigate the complexities of AI technologies, indicating that both segments will continue to evolve, albeit with differing growth trajectories.

    By Modalities: Computed Tomography (Largest) vs. X-rays (Fastest-Growing)

    In the Artificial Intelligence AI in Medical Imaging Market, Computed Tomography (CT) holds the largest share, driven by its widespread adoption in diagnostic procedures. CT scans, well-known for their speed and accuracy, are increasingly integrating AI technologies to enhance image quality and diagnostic precision. In contrast, X-rays, though traditionally established, are rapidly rising due to advancements in AI that improve image analysis and reduce processing time, contributing to their fastest-growing segment status in the market.

    Imaging Technologies: CT (Dominant) vs. X-rays (Emerging)

    Computed Tomography (CT) represents the dominant force within the Artificial Intelligence AI in Medical Imaging Market due to its mechanical efficiency and the ability to produce cross-sectional images of the body with high detail. Its integration with AI enhances the capabilities of radiologists by enabling faster interpretation and higher accuracy in diagnoses. Conversely, X-rays are emerging with innovative AI applications that streamline workflows, enhance image clarity, and allow for more comprehensive analyses. The growing emphasis on preventative care and early diagnosis is propelling X-rays into a prime position as they offer a cost-effective solution without sacrificing quality, thereby gaining significant traction in clinical settings.

    By Indication: Oncology (Largest) vs. Neurology (Fastest-Growing)

    The Artificial Intelligence AI in Medical Imaging market exhibits a diverse distribution of application across various medical indications. Oncology stands out as the largest segment, driven by the growing demand for advanced diagnostic tools that enhance the accuracy and efficiency of cancer detection and treatment planning. Other significant segments include Cardiology and Orthopaedic, each contributing to the market's overall growth, albeit at varying rates. Gynaecology and Other indications also play a role, but their market share remains smaller compared to the aforementioned segments. In terms of growth trends, the Neurology segment is emerging as the fastest growing sector, influenced by increasing incidences of neurological disorders and the surge in technological advancements in imaging techniques. The rising awareness of early diagnosis and personalized medicine further fuels the demand for AI-integrated imaging solutions in this field. The shift towards telemedicine and remote diagnostics, particularly post-pandemic, is additionally propelling growth within the Neurology segment, as practitioners seek innovative tools for effective patient management.

    Oncology (Dominant) vs. Neurology (Emerging)

    Oncology remains the dominant segment in the Artificial Intelligence AI in Medical Imaging market, characterized by its extensive application in early detection and treatment planning of various cancer types. The integration of AI algorithms helps analyze complex imaging data swiftly, leading to improved diagnostic accuracy and patient outcomes. Innovations such as machine learning and deep learning are becoming pivotal in oncology imaging, enabling the detection of subtle changes that may indicate cancer. Conversely, Neurology is an emerging segment gaining traction due to increasing neurological conditions, such as Alzheimer's and Parkinson's diseases. The adoption of AI in neurological imaging facilitates better diagnosis and treatment options, allowing for more reliable assessments. As healthcare professionals continue to recognize the value of AI in enhancing image analysis for neurological disorders, this sector is poised for rapid growth in the coming years.

    By Application: Clinical Decision Support (Largest) vs. Computer-aided Diagnosis (Fastest-Growing)

    The Artificial Intelligence AI in Medical Imaging Market showcases a diverse application segment, with Clinical Decision Support leading in market share. This segment has garnered the majority of the market, owing to its critical role in enhancing clinician decision-making and improving patient outcomes. Following closely is the Computer-aided Diagnosis segment, which is making significant strides in adoption and integration within healthcare systems, indicating a robust trend towards more specialized diagnostic tools powered by AI. Growth trends within this segment are being driven primarily by technological advancements, increasing healthcare digitization, and the demand for precision in medical imaging. While Clinical Decision Support remains the backbone of AI applications, the rapid advancement in algorithms and machine learning capabilities is propelling Computer-aided Diagnosis into the spotlight. This segment is gaining traction, particularly in areas requiring complex decision-making processes and real-time data analysis, showcasing a growing preference for AI-assisted solutions among practitioners.

    Clinical Decision Support (Dominant) vs. Computer-aided Detection (Emerging)

    In the realm of AI applications in medical imaging, Clinical Decision Support stands out as the dominant force, significantly shaping the landscape. It leverages data and analytics to aid healthcare professionals in making informed decisions, thereby improving patient care and operational efficiencies. Its established presence in hospitals and clinics provides a substantial competitive edge. On the other hand, Computer-aided Detection is an emerging player, focusing on identifying potential abnormalities in medical images before they are reviewed by radiologists. This segment is still evolving, with increasing investments in machine learning models to enhance accuracy and reliability in detection processes. As healthcare providers continue to embrace AI technologies, the synergy between these applications is expected to facilitate improved diagnostic outcomes.

    By End User: Hospitals & Clinics (Largest) vs. Diagnostic Centers (Fastest-Growing)

    In the Artificial Intelligence AI in Medical Imaging Market, the end user segment is primarily dominated by Hospitals & Clinics, which account for a significant portion of the market share. These facilities utilize AI technologies for diagnostics, thereby streamlining operations and improving patient outcomes. Diagnostic Centers also play a crucial role, focusing on specific imaging solutions and leveraging AI to enhance diagnostic accuracy, although their share is relatively smaller compared to hospitals and clinics. Looking ahead, the growth trends in this segment are driven by the increasing adoption of AI technologies in medical imaging, particularly by diagnostic centers, which are emerging as the fastest-growing segment. The demand for efficient and accurate imaging solutions, coupled with advancements in AI technology, is leading to the expansion of these centers. As healthcare providers increasingly recognize the benefits of AI, both hospitals and clinics, as well as diagnostic centers, are expected to enhance their investments in AI solutions, driving significant growth.

    Hospitals & Clinics (Dominant) vs. Diagnostic Centers (Emerging)

    Hospitals & Clinics represent the dominant segment in the AI in Medical Imaging Market due to their extensive resources and patient volumes, enabling them to implement advanced imaging technologies effectively. They benefit from sophisticated infrastructure and a broad range of applications for AI, improving diagnostic accuracy and operational efficiency. Conversely, Diagnostic Centers are emerging as a critical player in the market, focusing on specific imaging modalities powered by AI. These centers are increasingly recognized for their expertise in particular diagnostic tasks, offering tailored solutions that address the demand for faster and more accurate diagnostics, thus contributing to the overall growth of the AI-driven medical imaging landscape.

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    Regional Insights

    The Artificial Intelligence AI in Medical Imaging Market exhibits significant growth across various regions, with a market value of 3.4 USD Billion in 2024, projected to reach 20.5 USD Billion by 2035. North America is leading this growth, valued at 1.159 USD Billion in 2024 and expected to grow to 7.527 USD Billion in 2035, showcasing its majority holding in the market due to advanced healthcare infrastructure and high adoption of innovative technologies.

    Europe follows, with a market value of 0.773 USD Billion in 2024, growing to 4.6 USD Billion by 2035, supported by extensive Research and Development activities and regulatory guidance boosting AI integration.In South America, the market was valued at 0.155 USD Billion in 2024, increasing to 1.004 USD Billion by 2035, reflecting the growing interest in AI solutions to improve healthcare access. The Asia Pacific region, held a value of 0.695 USD Billion in 2024 and anticipated to reach 4.014 USD Billion in 2035, is gaining traction driven by increasing healthcare investments and technological advancements.

    Meanwhile, the Middle East and Africa's market, valued at 0.618 USD Billion in 2024 and projected to grow to 3.345 USD Billion by 2035, benefits from developing healthcare systems aiming to integrate AI for better medical imaging outcomes.Overall, the Artificial Intelligence AI in Medical Imaging Market segmentation reveals diverse growth trajectories influenced by regional healthcare demands and technological investments.

    Artificial Intelligence AI in Medical Imaging Market Regional Insights

    Key Players and Competitive Insights

    The Artificial Intelligence AI in Medical Imaging Market is a rapidly evolving sector characterized by the integration of advanced technologies aimed at enhancing diagnostic accuracy and operational efficiency within healthcare. The competition in this market is marked by the presence of various players who are leveraging machine learning and deep learning algorithms to process medical images with unprecedented speed and precision. The demand for AI-driven solutions is being propelled by the increasing need for improved patient outcomes, reduced costs, and the growing volume of medical imaging data.

    Companies are investing heavily in research and development to innovate and introduce cutting-edge solutions that cater to the specific needs of healthcare professionals and institutions worldwide. The competitive landscape is also influenced by collaborations, strategic partnerships, and mergers that aim to bolster technological capabilities and market reach.BioBlue stands out in the Artificial Intelligence AI in Medical Imaging Market due to its commitment to delivering high-quality AI solutions tailored for effective image analysis and diagnostics.

    The company has established a strong presence in this market through innovative product offerings that enable healthcare providers to enhance imaging workflows and improve the accuracy of diagnoses. BioBlue's strength lies in its advanced algorithms that are designed to assist radiologists in interpreting medical images more effectively and efficiently. The company is known for its user-friendly interfaces and seamless integration capabilities with existing imaging systems, making it a preferred choice for medical institutions looking to harness the power of AI in their operations.

    By focusing on research, BioBlue continues to refine its technologies to ensure that they remain at the forefront of advancements in the medical imaging domain.Optum plays a significant role in the Artificial Intelligence AI in Medical Imaging Market by offering a comprehensive suite of health technology solutions, including AI-powered imaging services. The company provides a range of services that facilitate improved diagnostic processes and patient management through its advanced algorithms for imaging analysis. Optum's strengths lie in its deep integration within the healthcare ecosystem, allowing it to collaborate effectively with various health systems and providers globally.

    The company's innovative offerings not only enhance diagnostic accuracy but also streamline workflows, thereby reducing the overall costs for healthcare facilities. Moreover, Optum has engaged in strategic mergers and acquisitions, further solidifying its market position, expanding its technological capabilities, and enhancing its product portfolio. These strategic moves allow Optum to leverage additional resources and expertise to advance its AI-driven medical imaging solutions, ensuring its competitiveness in the rapidly growing global market.

    Key Companies in the Artificial Intelligence AI in Medical Imaging Market market include

    Industry Developments

    In September 2023, GE Healthcare announced advancements in their AI platform, aiming to enhance diagnostic accuracy and workflow efficiency within imaging departments. In a notable merger, Fujifilm completed its acquisition of a start-up focusing on AI algorithms to bolster its radiology offerings in August 2023.

    Additionally, Siemens Healthineers unveiled a new AI-driven imaging solution in July 2023 that reportedly improves the detection rate of various medical conditions. Companies like PathAI and Aidoc have continued to strengthen their presence in the market, with collaborations that target improved diagnostic accuracy. Furthermore, Canon Medical Systems rolled out an innovative AI tool aimed at reducing image processing time, fostering better patient outcomes. The market valuation for key players, such as Philips and IBM, has seen positive growth correlating with these innovations, significantly impacting the overall landscape.

    Over the last two to three years, investment in AI research and development within the sector has skyrocketed, indicating a robust trend towards automation and enhanced imaging technologies globally.

    Future Outlook

    Artificial Intelligence AI in Medical Imaging Market Future Outlook

    The Artificial Intelligence AI in Medical Imaging Market is projected to grow at a 17.74% CAGR from 2024 to 2035, driven by technological advancements, increasing demand for diagnostic accuracy, and enhanced patient outcomes.

    New opportunities lie in:

    • Development of AI-driven diagnostic software for early disease detection.
    • Integration of AI with telemedicine platforms for remote imaging analysis.
    • Partnerships with healthcare providers for customized AI imaging solutions.

    By 2035, the market is expected to be robust, driven by innovation and strategic partnerships.

    Market Segmentation

    Artificial Intelligence AI in Medical Imaging Market End User Outlook

    • Diagnostic Centers
    • Hospitals & Clinics
    • Others

    Artificial Intelligence AI in Medical Imaging Market Component Outlook

    • Solutions
    • Services

    Artificial Intelligence AI in Medical Imaging Market Indication Outlook

    • Oncology
    • Neurology
    • Cardiology
    • Orthopaedic
    • Gynaecology
    • Others

    Artificial Intelligence AI in Medical Imaging Market Modalities Outlook

    • Computed Tomography
    • X-rays
    • Magnetic Resonance Imaging
    • Ultrasound
    • Others

    Artificial Intelligence AI in Medical Imaging Market Technology Outlook

    • Deep Learning
    • Natural Language Processing
    • Others

    Artificial Intelligence AI in Medical Imaging Market Application Outlook

    • Clinical Decision Support
    • Computer-aided Diagnosis
    • Computer-aided Detection

    Report Scope

    MARKET SIZE 20243.391(USD Billion)
    MARKET SIZE 20253.992(USD Billion)
    MARKET SIZE 203520.44(USD Billion)
    COMPOUND ANNUAL GROWTH RATE (CAGR)17.74% (2024 - 2035)
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    BASE YEAR2024
    Market Forecast Period2025 - 2035
    Historical Data2019 - 2024
    Market Forecast UnitsUSD Billion
    Key Companies ProfiledMarket analysis in progress
    Segments CoveredMarket segmentation analysis in progress
    Key Market OpportunitiesIntegration of advanced algorithms enhances diagnostic accuracy in the Artificial Intelligence AI in Medical Imaging Market.
    Key Market DynamicsTechnological advancements in artificial intelligence drive innovation and competition in medical imaging solutions.
    Countries CoveredNorth America, Europe, APAC, South America, MEA

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    FAQs

    What is the projected market valuation of the Artificial Intelligence AI in Medical Imaging Market by 2035?

    The market is projected to reach a valuation of 20.44 USD Billion by 2035.

    What was the market valuation of the Artificial Intelligence AI in Medical Imaging Market in 2024?

    The overall market valuation was 3.391 USD Billion in 2024.

    What is the expected CAGR for the Artificial Intelligence AI in Medical Imaging Market during the forecast period 2025 - 2035?

    The expected CAGR for the market during this period is 17.74%.

    Which technology segment is anticipated to dominate the market by 2035?

    The Deep Learning technology segment is expected to grow from 1.5 USD Billion in 2024 to 9.5 USD Billion by 2035.

    What are the key components driving the Artificial Intelligence AI in Medical Imaging Market?

    Solutions and services are key components, each projected to reach 10.22 USD Billion by 2035.

    Which modality is expected to see significant growth in the market?

    Computed Tomography is projected to grow from 0.678 USD Billion in 2024 to 3.89 USD Billion by 2035.

    What indications are driving the demand for AI in medical imaging?

    Oncology and Neurology are leading indications, with oncology expected to grow to 4.9 USD Billion by 2035.

    Who are the key players in the Artificial Intelligence AI in Medical Imaging Market?

    Key players include Siemens Healthineers, GE Healthcare, and Philips Healthcare, among others.

    What applications are expected to expand in the Artificial Intelligence AI in Medical Imaging Market?

    Clinical Decision Support is projected to grow from 1.5 USD Billion in 2024 to 8.5 USD Billion by 2035.

    Which end-user segment is anticipated to dominate the market by 2035?

    Hospitals & Clinics are expected to lead the end-user segment, growing to 10.12 USD Billion by 2035.

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