PUBLISHER: Grand View Research | PRODUCT CODE: 1908261
PUBLISHER: Grand View Research | PRODUCT CODE: 1908261
The global computational pathology market size was estimated at USD 728.68 million in 2025 and is projected to reach USD 1,447.62 million by 2033, growing at a CAGR of 9.21% from 2026 to 2033. The growth is attributed to the rising integration of machine learning and artificial intelligence (AI) technologies, the increasing demand for advanced solutions for faster diagnosis, the rising prevalence of chronic diseases, and increasing investment in healthcare, supported by market players focused on developing advanced solutions.
The growing prevalence of chronic diseases, such as cancer, predominantly drives the market. Owing to the high prevalence of cancer, pathologists require pathology data that can facilitate customizing therapies for patients. Thereby, digital pathology is increasingly being preferred by pathologists, as it accelerates the rate of diagnosis, increases diagnostic accuracy, and provides therapeutic recommendations to improve patient outcomes. For instance, according to a study published in the Journal of Pathology in August 2023, deep learning and artificial intelligence (AI) algorithms to analyze and interpret histopathology images promise substantial improvements in diagnostic accuracy and efficiency, especially for cancer diagnosis and prognosis.
The incorporation of machine learning and AI technologies into pathology workflows significantly transforms the diagnostic process. For instance, in October 2024, Proscia introduced digital pathology toolkits designed to facilitate the development of AI models. These tools enable life science researchers to convert biopsy slide images into quantitative data for training foundation models, improving biomarker discovery, and diagnostics. The development of such solutions enables the rapid and accurate analysis of images, allowing pathologists to identify patterns that may indicate disease progression. By automating routine tasks, AI enables pathologists to focus on more complex diagnostic challenges, thereby improving efficiency and accuracy. This shift enhances diagnostic precision and supports the development of personalized medicine through predictive modeling.
The market holds substantial opportunities driven by significant factors. Advances in artificial intelligence (AI), machine learning (ML), and digital imaging are transforming pathological workflows, enabling faster, more precise analysis of tissue slides and providing critical insights into disease diagnosis and prognosis. This technological progress is addressing the growing demand for rapid, accurate diagnostics, owing to the rising global prevalence of chronic diseases such as cancer and cardiovascular conditions.
Moreover, increasing adoption of telepathology is expanding remote expert consultations and improving healthcare access, especially in underserved regions. Integrating digital health systems enhances laboratory efficiency, automates routine tasks, and allows pathologists to focus on complex diagnostics, fostering greater accuracy and personalized medicine development. Furthermore, rising investments by healthcare providers and industry players in developing AI-powered pathology solutions stimulate innovation and market growth.
Global Computational Pathology Market Report Segmentation
This report forecasts revenue growth and provides, at global, regional, and country levels, an analysis of the latest trends in each of the sub-segments from 2021 to 2033. For this report, Grand View Research has segmented the global computational pathology market report based on components, application, technology, end-use, and region: