According to a new report, published by KBV research, The Global Computational Pathology Market size is expected to reach $1.20 billion by 2032, rising at a market growth of 7.9% CAGR during the forecast period.
The Software segment captured the maximum revenue in the Global Computational Pathology Market by Component in 2024, thereby, achieving a market value of $757.5 million by 2032. This growth is driven by the increasing adoption of advanced digital tools and image analysis software that enable efficient data management, diagnosis, and interpretation of pathology images. Integrating artificial intelligence and machine learning algorithms into software platforms enhances diagnostic accuracy, supports faster decision-making, and reduces human error, making software a vital component in computational pathology workflows across laboratories and hospitals.
The Disease Diagnosis segment is experiencing a CAGR of 7.3 % during the forecast period. This is primarily due to the increasing prevalence of chronic and infectious diseases, which has driven the need for accurate and efficient diagnostic tools. Computational pathology enables enhanced analysis of medical images and tissue samples, allowing pathologists to make more precise diagnoses. The growing integration of AI-powered diagnostic solutions in clinical settings has further boosted the adoption of computational pathology for disease diagnosis.
The Hospitals and Diagnostic Labs segment led the maximum revenue in the Global Computational Pathology Market by End-use in 2024, thereby, achieving a market value of $605.3 million by 2032. This is attributed to the growing adoption of digital pathology systems in clinical settings to enhance diagnostic accuracy, streamline workflows, and efficiently manage large volumes of patient data. These facilities increasingly leverage computational tools for rapid disease detection, prognosis, and treatment planning, accelerating their integration into routine pathology operations.
The Machine Learning (ML) segment is growing at a CAGR of 7.3 % during the forecast period. This is largely driven by the technology’s ability to analyze vast amounts of pathology data with high accuracy and speed. ML algorithms support predictive diagnostics, pattern recognition, and automated image classification, making them essential tools in modern pathology workflows. Their implementation has significantly enhanced decision-making processes, reduced turnaround times, and improved overall diagnostic efficiency.
Full Report: https://www.kbvresearch.com/computational-pathology-market/
The North America region dominated the Global Computational Pathology Market by Region in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $450.1 million by 2032. The Europe region is anticipated to grow at a CAGR of 7.7% during (2025 - 2032). Additionally, The Asia Pacific region would witness a CAGR of 8.5% during (2025 - 2032).
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