AI-enabled Digital Pathology Software Market Revenue and Forecast by 2035
Published: 17 Feb 2026
Author: Precedence Research
AI-enabled Digital Pathology Software Market Revenue and Trends 2026 to 2035
The AI-enabled Digital Pathology Software Market analyzes growth driven by machine learning integration, automation, and rising demand for digital diagnostics. This market is experiencing unprecedented growth, driven by the growing need to increase diagnostic efficiency and the rise in biopsy volumes.
What are the Factors Contributing to the Growth of the AI-enabled Digital Pathology Software Market?
The increasing incidence of chronic diseases and the increasing shift toward personalized medicine are the major drivers, accelerating the growth of the market during the forecast period. AI algorithms assist in early cancer detection and biomarker quantification. AI-enabled tools automate numerous routine tasks, such as cell counting and tissue segmentation, allowing pathologists to focus on complex cases. Pathologists are increasingly leveraging AI-powered tools to reduce the extra workload and address the shortage of the skilled pathologists' workforce.
Segment Insights
- By function, the image analysis segment registered its dominance by holding nearly 45% share in 2025, driven by its crucial role in automating cancer diagnosis and increasing operational efficiency. AI-driven tools that accelerate diagnostic efficiency, improve precision, and assist in managing human workload, especially in cancer detection. With the rapid adoption of Whole-Slide Imaging (WSI), machine learning is being widely used to automate repetitive tasks like cell counting, grading, and biomarker quantification.
- By application, the disease diagnosis segment contributed the biggest market share of nearly 62.3% in 2025. The increasing incidence of chronic diseases and shortage of skilled pathologists significantly increases the demand for an efficient detection system like AI-driven diagnostics. AI tools offer higher accuracy in image analysis than manual analysis.
- By technology, the deep learning/CNNs segment accounted for the highest revenue share in the market in 2025, due to its ability to automate high-resolution tissue image analysis with high accuracy.
Regional Insights
North America holds the dominant share in the global AI-enabled digital pathology software market. The region strongly benefits from the well-established diagnostic infrastructure and early adoption of AI/ML technologies. The region is home to many leading market players, including Proscia, PathAI, Roche Diagnostics, Paige AI, Ibex Medical Analytics, Indica Labs, Tempus, and others. The region’s leadership is driven by the owing to its growing need for AI tools to streamline pathology workflows, the rising burden of cancer, surge in biopsy volumes, the rapid growth in personalized medicine, and increasing investments in R&D, shortage of pathologists, surge in adoption rates of AI-powered diagnostic tools in hospital & clinics networks, and strong regulatory support for digital pathology.
On the other hand, Asia Pacific is anticipated to grow at the fastest rate in the market during the forecast period. The fastest growth of the region is attributed to the significant investment in diagnostic infrastructure, the rising prevalence of chronic diseases, the increasing shift toward personalized medicine, and the growing adoption of AI algorithms for cancer detection and biomarker quantification.
AI-enabled Digital Pathology Software Market Coverage
| Report Attribute | Key Statistics |
| Quantitative Units | Revenue in USD million/billion, Volume in units |
| Largest Market | North America |
| Base Year | 2025 |
| Regions Covered | North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa |
Recent Developments
- In March 2025, Royal Philips, a global leader in health technology, announced the expansion of its partnership with Ibex Medical Analytics (Ibex) and a new release of Philips IntelliSite Pathology Solution (PIPS) to further accelerate the adoption of AI-enabled digital pathology to address the pressure pathologists face because of the global shortage of pathologists and the growing number of cancer patients(Source: https://www.philips.com)
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