Neuro-Oncology and Radiogenomics Market: Adoption of SaMD for G

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    A new market study reveals that the Global Diagnostic Software as a Medical Device (SaMD) and Radiogenomics Market is poised for rapid expansion, driven by the convergence of Artificial Intelligence (AI) with precision medicine. The market, valued at $1.98 billion in 2024, is expected to soar to $6.90 billion by 2032, reflecting a robust Compound Annual Growth Rate (CAGR) of 16.90% during the forecast period from 2025 to 2032.

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    Overview Of Software as a Medical Device (Sa MD) and Radio genomics Market

    The Diagnostic Sa MD and Radio genomics market represents a critical shift toward non-invasive, personalized diagnostics. Radio genomics involves linking quantitative features extracted from medical images (Radiomics) with patients' genomic data to provide deeper insights into disease biology and behavior. Sa MD solutions facilitate this process by using advanced AI and machine learning (ML) algorithms to analyze massive datasets from imaging modalities (like CT, MRI, and PET) and genomic sequencing platforms.

    The primary market drivers fueling this exceptional 16.90% CAGR include:

    1. The Rise of Precision Oncology: Radio genomics offers a "virtual biopsy," enabling real-time, non-invasive assessment of tumor heterogeneity, which is crucial for tailoring individualized cancer therapies.
    2. Technological Integration: The widespread adoption of AI, Deep Learning (DL), and Cloud Computing platforms provides the necessary computational power and scalability for complex radiogenomic analysis.
    3. Increasing Disease Burden: The growing global prevalence of chronic diseases, particularly various forms of cancer, is creating an escalating demand for more accurate, predictive, and efficient diagnostic tools.

    Market Size and Data Forecast (2025–2032)

    The study provides a clear trajectory of market value, underscoring the high investment potential within this sector:

    Attribute

    Value

    Market Valuation (2024)

    $1.98 Billion

    Projected Valuation (2032)

    $6.90 Billion

    Forecast Period CAGR (2025-2032)

    16.90%

    This growth rate highlights the accelerated integration of software-driven diagnostics into standard clinical workflows over the next eight years.

    Segmentation Analysis Of Software as a Medical Device (Sa MD) and Radio genomics Market

     

    By application, Oncology is anticipated to remain the dominant segment, given the proven utility of radio genomics in areas like stratifying risk groups, predicting therapeutic response (e.g., in glioblastoma and breast cancer), and monitoring disease progression. However, applications in Neurology and Cardiology are also expected to see significant growth.

    In terms of technology and components, the market is segmented primarily into platforms leveraging AI/ML Algorithms and Cloud-Based Solutions. Cloud platforms currently hold the largest share, favored for their interoperability, scalability, and ability to securely manage and process large volumes of multi-modal patient data.

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    Key Players Of Software as a Medical Device (Sa MD) and Radio genomics Market

    The market is highly competitive, featuring both established multinational healthcare technology companies and specialized AI-focused Sa MD start ups. Key players are heavily focused on strategic collaborations and product innovation to enhance their AI models' reproducibility and clinical validation.

    Leading companies profiled in the market include:

    • Siemens Healthineers
    • GE Healthcare
    • Koninklijke Philips N.V.
    • Digital Diagnostics Inc.
    • Tempus
    • Paige
    • Qlucore (Sweden)
    • PathAI, Inc. (U.S.)
    • OncoDNA (Belgium)
    • Personalis, Inc. (U.S.)
    • Labcorp (U.S.)
    • Caris Life Sciences (U.S.)
    • Strata Oncology, Inc. (U.S.)
    • GRAIL, Inc. (U.S.)
    • Bluebee (Netherlands)
    • CureMetrix, Inc. (U.S.)
    • AstraZeneca (U.K.)
    • PierianDx (U.S.)

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    Outlook

    The Diagnostic Sa MD and Radio genomics market is at an inflection point, shifting diagnostics from reactive assessment to proactive, predictive modeling. The impressive 16.90% CAGR through 2032 confirms that this fusion of radiology and genomics, powered by advanced software, is essential for realizing the promise of truly personalized medicine and delivering optimized patient outcomes globally.

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