According to a new report, published by KBV research, The Global AI in Pathology Market size is expected to reach $66.3 million by 2030, rising at a market growth of 15.8% CAGR during the forecast period.
The Convolutional neural networks (CNNs) segment is registering a strong potential in the Global AI in Pathology Market, By Neural Network in 2022 thereby, achieving a market value of $30.6 million by 2030. CNNs excel at learning hierarchical features from input data. Via a sequence of convolutional and pooling layers, CNNs automatically extract relevant features from images, capturing both low-level details and high-level patterns. This feature learning capability allows CNNs to adapt to the complexities of visual data without manual feature engineering. CNNs can automatically learn spatial hierarchies of features, starting from simple patterns like edges and textures to complex high-level features that represent objects or structures. This capacity is crucial for image classification, object detection, and segmentation tasks.
The Disease Diagnosis & Prognosis segment would witness a CAGR of 16.4% during (2023 - 2030). AI algorithms analyze histopathological images to detect abnormalities like cancerous cells or tissue anomalies. This aids pathologists in the early and accurate diagnosis of diseases. AI facilitates digital pathology, enabling the digitization of pathology slides. Pathologists can then collaborate remotely through telepathology platforms, allowing consultations and second opinions without geographical constraints. AI algorithms contribute to the early detection of diseases by analyzing screening data, such as mammograms or Pap smears. Early diagnosis allows for timely intervention, potentially improving treatment outcomes.
The Pharmaceutical & Biotechnology Companies segment is leading the Global AI in Pathology Market, By End User in 2022 thereby, achieving a market value of $36.2 million AI analyzes diverse datasets, including pathology data, to identify disease progression and treatment response biomarkers. This information aids in patient stratification for clinical trials and personalized medicine approaches. AI-driven natural language processing (NLP) tools extract relevant information from scientific literature, patents, and databases. This supports researchers in staying informed about the latest findings and advancements in pathology that may impact drug discovery efforts.
The Scanners segment is experiencing a CAGR of 16.5% during (2023 - 2030). Scanners are instrumental in the transition from traditional microscopy to digital pathology. These devices capture detailed images of glass slides, converting them into digital forms that can be stored, analyzed, and shared electronically. The quality and resolution of scanned images are critical for the accuracy of AI-driven analyses. High-resolution scanners preserve fine details in pathology specimens, enabling AI algorithms to make precise assessments. The ability to capture images with sufficient quality is paramount for accurate diagnosis and research outcomes.
The North America region dominated the Global AI in Pathology Market, By Region in 2022 thereby, achieving a market value of $27 Million by 2030, growing at a CAGR of 15.1 % during the forecast period. The Europe region is experiencing a CAGR of 15.4% during (2023 - 2030). Additionally, The Asia Pacific region would witness a CAGR of 16.8% during (2023 - 2030).
Full Report: https://www.kbvresearch.com/ai-in-pathology-market/
The market research report has exhaustive quantitative insights providing a clear picture of the market potential in various segments across the globe with country wise analysis in each discussed region. The key impacting factors of the market have been discussed in the report with the elaborated company profiles of Koninklijke Philips N.V., F. Hoffmann-La Roche Ltd., Hologic, Inc., Visiopharm A/S, Paige AI, Inc., PathAI, Inc., Aiforia Technologies Plc, Indica Labs, Inc., Optrascan, Inc. (Optra Ventures, LLC), MindPeak GmbH.
By Neural Network
By Application
By End User
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By Geography
Companies Profiled
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