The report "AI in Pathology Market by Neural Network (GAN, CNN, RNN), Function (Diagnostic, Image Analysis, CDSS, Data Management, Analytics), Use Case (Drug Discovery, Clinical Workflow), End User (Hospitals, Labs, Pharma/Biotech), & Region - Global Forecast to 2030", is projected to reach USD 347.4 million by 2030, up from USD 107.4 million in 2025, at a CAGR of 26.5 % during the forecast period.
Browse 272 market data Tables and 51 Figures spread through 319 Pages and in-depth TOC on "AI in Pathology Market by Neural Network (GAN, CNN, RNN), Function (Diagnostic, Image Analysis, CDSS, Data Management, Analytics), Use Case (Drug Discovery, Clinical Workflow), End User (Hospitals, Labs, Pharma/Biotech), & Region - Global Forecast to 2030"
View detailed Table of Content here - https://www.marketsandmarkets.com/Market-Reports/ai-in-pathology-market-86647266.html
Factors such as the development of CNNS and advanced AI models, increasing cases of misdiagnoses in patients, benefits of AI-augmented telepathology, and the increasing adoption of whole slide imaging analysis (WSI) in digital pathology are driving market growth. Enhancements in computational pathology, growing use of cloud-based AI pathology platforms, and mounted adoption of multi-omics platforms are accelerating market growth.
The drug discovery segment accounted for the largest share of the AI in pathology market in 2024, by use case.
In 2024, the drug discovery segment accounted for the largest share of the market. This segment is also expected to grow at the highest CAGR during the forecast period. The increasing pharmaceutical & biotechnology R&D expenditure, the growth in high-throughput screening & imaging, the rising use of AI algorithms in pathology image analysis for the identification & classification of diseases, and the ability of AI to accelerate the development of new therapeutics are expected to contribute to market growth.
By function, the image analysis segment accounted for the largest share in 2024 of the AI in pathology market.
In 2024, the image analysis segment accounted for the largest share of the AI in pathology market. The large share of the image analysis segment is attributed to the increasing demand for early diagnosis & precision capabilities, the integration of digital pathology, the shortage of skilled pathologists, and the increased demand for personalized and targeted therapies.
By region, Europe led with the second-largest share of the AI in pathology market in 2024.
Europe held the second-largest share of the AI in pathology market in 2024. The primary factors of market growth include the rising adoption of AI-based tools in pathology research and drug discovery, favorable government initiatives, increasing patient data volume, increasing venture capital funding, rising healthcare expenditure, and the growing geriatric population. The presence of key AI product & service providers for pathology applications in the region is complementing the growth of this market.
The report profiles key players such as Koninklijke Philips N.V. (Netherlands), F. www Hoffmann-La Roche Ltd (Switzerland), Hologic, Inc. (US), Akoya Biosciences, Inc. (US), Aiforia Technologies Plc (Finland), Indica Labs Inc. (US), OptraScan (US), Ibex Medical Analytics Ltd. (Israel), Mindpeak GmbH (Germany), Tribun Health (France).
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