Artificial Intelligence in Pathology Market to Hit USD 169.8 Million by 2029 with 15.4% CAGR
The global AI in pathology market is projected to reach USD 169.8 million by 2029 from USD 82.8 million in 2024, at a high CAGR of 15.4% during the forecast period. A major recent advancement in the AI in pathology market is the development of AI-powered digital pathology platforms capable of real-time analysis of pathology slides. One significant innovation was the use of deep learning algorithms to aid in the detection and diagnosis of diseases, such as cancer, from histopathological images. These Al machines can identify even minute patterns and abnormalities on a tissue sample with speed and accuracy only like those of the human pathologist, thus reducing the time required for diagnostics. For instance, in April 2024, PathAI and Google Cloud partnered with anatomic pathology labs and biopharma firms to speed up the adoption of digital pathology and AI.
The AI in pathology market is segmented into generative adversarial networks (GAN), convolutional neural networks (CNN), recurrent neural networks (RNN), and others. The convolutional neural network segment accounted for the largest share of AI in pathology market in 2023. The CNNs are well-suited to the digital pathology areas where, as patterns in tissue, they help in identifying disease biomarkers. They assist in the diagnosis of complex diseases such as cancer. This is how their architecture allows them to perform automated feature extraction from high-resolution pathology images, thus permitting rapid and highly accurate diagnostic assessments. CNNs are indispensable for building AI-driven tools that help pathologists minimize the occurrence of diagnostic errors and optimize workflow. Along with digital pathology gaining wider acceptance, use of CNNs is expanding and has emerged as a dominant force in the AI pathology landscape.