Dublin, Dec. 30, 2025 (GLOBE NEWSWIRE) — The global AI-based digital pathology market is set to grow from USD 1.01 billion in 2025 to USD 2.32 billion by 2035, representing a compound annual growth rate (CAGR) of 8.7%. This expansion is primarily fueled by advancements in technology and a growing focus on precision medicine that enhances digital pathology techniques, allowing for more efficient quantitative and qualitative assessments.
The integration of artificial intelligence in digital pathology has transformed traditional slide examination methods. The digitization of glass slides allows for rapid transmission from diagnostic centers to pathologists, significantly improving the comprehension of tissue microenvironments. AI’s role in diagnostics fosters tailored treatment strategies and patient categorization, thereby revolutionizing care delivery across various pathology subdomains.
Currently, around 80 companies are active in the AI-based digital pathology sector, providing services mainly to research institutes and diagnostic facilities. These firms offer a broad spectrum of AI-based solutions, often enhanced through proprietary products used in both research and diagnostics. The market has attracted significant investment, with approximately USD 2 billion raised across 60 funding events. The increasing integration of AI into clinical workflows and the global adoption of these tools have been pivotal in driving this market growth, which is expected to sustain an 8.7% annualized growth rate until 2035.
The demand for AI-based digital pathology solutions is escalating, with convolutional neural networks emerging as the leading technology due to their diverse application range. Ki67 assays are prominent in the market because of their crucial relevance in cell proliferation assessment. Presently, research institutes hold the largest market share, while diagnostic applications are anticipated to experience higher growth rates. Breast cancer remains the primary disease indication, capturing the largest segment of the market.
Geographically, North America dominates the market, although Europe is projected to grow at a higher CAGR in the coming years. The competitive landscape features key players such as Aiforia Technologies, Akoya Biosciences, Ibex Medical Analytics, Indica Labs, Paige, PathAI, PROSCIA, Roche Tissue Diagnostics, and Visiopharm.
The report provides a comprehensive analysis of the market, including extensive sizing and opportunity assessments, as well as segmentation by neural network type, assay, end-user, and target disease indication. Additionally, it features a thorough evaluation of the company landscape and competitiveness analysis, focusing on both market leaders and emerging players.
Among the key insights include a detailed examination of market dynamics and opportunities. The shift toward AI-enhanced workflows in pathology signifies a broader movement toward personalized medicine and improved patient outcomes. The integration of AI allows for more precise diagnostics, greater efficiency, and the potential for reduced healthcare costs.
For stakeholders, the report offers strategic insights that can help capitalize on emerging trends and opportunities in the AI-based digital pathology market. It also includes additional benefits such as complimentary PPT insights packs, Excel data packs, and free content customization and report updates.
As the healthcare sector increasingly embraces technology, the growth trajectory of AI in digital pathology signals a significant shift in diagnostic practices and patient care. The ongoing investment and development in this field are likely to yield transformative outcomes, enhancing not only diagnostic accuracy but also overall treatment effectiveness.
See also
I/O Fund Reveals Top Free AI Stock Insights for 2025 with 210% Cumulative Returns
New Agentic System Enhances AI Decision-Making with Explainability and Accountability
AI Integration in Peer Review Surges to 53% Amid Calls for Responsible Governance
Delhi’s Education Reform Targets AI and Skill-Based Learning by 2026 Amid Ongoing Challenges
2025 Sees Record-Breaking Scientific Discoveries: Longest Lightning and AI-Generated Genomes




















































