PUBLISHER: Grand View Research | PRODUCT CODE: 1842207
PUBLISHER: Grand View Research | PRODUCT CODE: 1842207
The global computational pathology market size was estimated at USD 682.48 million in 2024 and is projected to reach USD 1,447.62 million by 2033, growing at a CAGR of 9.0% from 2025 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 by market players focused on developing advanced solutions.
The computational pathology market is predominantly propelled by the increasing incidence of chronic diseases, notably cancer. The high prevalence of cancer necessitates pathologists to utilize pathology data that can aid in tailoring personalized 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 promises 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.
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 component, application, technology, end use, and region: