Artificial Intelligence in Pathology Market Report 2025

This Artificial Intelligence in Pathology market report provides a comprehensive analysis of the market’s characteristics, size, and growth, including segmentation, regional and country-level breakdowns, competitive landscape, market shares, trends, and strategies. It also tracks historical and forecasted market growth across various geographies.

The artificial intelligence in pathology market size has grown rapidly in recent years. It will grow from $1.22 billion in 2024 to $1.39 billion in 2025 at a compound annual growth rate (CAGR) of 13.8%. The growth in the historic period can be attributed to increasing prevalence of disease, increasing funding initiatives, increasing use of telemedicine, increasing government initiatives, and increasing the demand for pathology services.

The artificial intelligence in pathology market size is expected to see rapid growth in the next few years. It will grow to $2.31 billion in 2029 at a compound annual growth rate (CAGR) of 13.5%. The growth in the forecast period can be attributed to the growth of AI in clinical trials, expanding healthcare infrastructure, interdisciplinary collaborations, the development of clear ethical guidelines, and the development of AI-based predictive analytics. Major trends in the forecast period include development of AI-powered diagnostic tools, integration with electronic health records, computer-aided diagnosis (CAD), AI-driven biomarker discovery, and integration with genomic data.

The growing demand for personalized medicine is projected to drive the expansion of the artificial intelligence in pathology market in the future. Personalized medicine involves tailoring medical treatment and healthcare to the unique characteristics, needs, and preferences of each patient. This rising need is attributed to the ability to customize treatments based on individual genetic profiles, lifestyle factors, and specific disease characteristics, thereby enhancing efficacy and minimizing adverse effects. Artificial intelligence (AI) in pathology contributes to personalized medicine by facilitating more accurate and efficient analyses of medical images and genetic data, allowing for more precise diagnoses, improved identification of disease subtypes, and tailored treatment plans that align with a patient’s unique biological profile. For instance, a report from the Personalized Medicine Coalition, a US-based professional membership organization, revealed in February 2023 that 12 new personalized medicines were approved in 2022, accounting for about 34% of all new therapies, marking a significant increase compared to previous years. Therefore, the growing demand for personalized medicine is a key factor driving the growth of the artificial intelligence in pathology market.

Leading companies in the artificial intelligence in pathology market are focusing on creating advanced solutions, such as cutting-edge cancer detection tools, to improve diagnostic accuracy, streamline workflows, and enhance patient outcomes. These advanced cancer detection tools utilize AI, leveraging machine learning algorithms and deep learning models to analyze medical images and pathology slides, thereby increasing the accuracy of tumor detection and classification. For example, in March 2022, Paige.ai, a US-based digital pathology company, launched the Paige Lymph Node Module to assist pathologists in detecting breast cancer metastases in lymph nodes. This tool features over 98% sensitivity in detecting breast cancer metastases of any size, including small micrometastases, and employs a proprietary TissueMap to highlight suspicious areas on lymph node slides, enhancing the efficiency and accuracy of pathologists’ reviews while significantly reducing the time needed for analysis.

In March 2023, Clarapath, a US-based medical robotics firm, acquired Crosscope for an undisclosed amount. This acquisition aims to enhance Crosscope's digital pathology platform by integrating advanced workflow tools and AI capabilities with Clarapath's automated tissue sectioning system, ultimately improving efficiency and accuracy in pathology laboratories. Crosscope is a US-based company that develops a digital pathology imaging platform that incorporates artificial intelligence to enhance analysis and diagnostics in the field of pathology.

Major companies operating in the artificial intelligence in pathology market are F. Hoffmann-La Roche Ltd, Koninklijke Philips N.V., Hamamatsu Photonics K.K., Leica Biosystems, Tempus Labs Inc., Spectra AB, Lunit Inc., Paige AI Inc., Inspirata Inc., Indica Labs Inc., Flagship Biosciences Inc, Proscia Inc., Aiforia Technologies Oy, Lumea Inc., Optrascan Inc., PathAI Inc., Visiopharm A/S, Ibex Medical Analytics Ltd., BioSymetrics Inc., Deep Bio Inc., Konfoong Biotech International Co Ltd., Mindpeak GmbH, Qritive Inc., Vuno Inc.

Asia-Pacific was the largest region in the artificial intelligence in pathology market in 2023. North America is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in pathology market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence in pathology market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Artificial intelligence (AI) in pathology refers to the application of machine learning algorithms and deep learning models to assist in the analysis of medical images, pattern recognition, and disease diagnosis. AI aids pathologists by automating tasks such as slide analysis, tumor detection, and grading, thereby enhancing diagnostic accuracy and efficiency. It also enables quicker processing of large datasets, which is essential for personalized medicine.

The primary components of artificial intelligence in pathology include software and scanners. Software consists of a collection of programs and algorithms specifically designed to perform tasks related to pathology, such as analyzing medical images, managing data, and supporting diagnostic and research activities. This technology employs various types of neural networks, including generative adversarial networks, convolutional neural networks, conventional neural networks, recurrent neural networks, and others. AI in pathology is utilized in drug discovery, disease diagnosis and prognosis, clinical workflows, as well as training and education. The users of these technologies encompass pharmaceutical and biotechnology companies, hospitals and reference laboratories, and academic and research institutions.

The artificial intelligence in pathology market research report is one of a series of new reports that provides artificial intelligence in pathology market statistics, including artificial intelligence in pathology industry global market size, regional shares, competitors with a artificial intelligence in pathology market share, detailed artificial intelligence in pathology market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in pathology industry. This artificial intelligence in pathology market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence in pathology market consists of revenues earned by entities by providing services such as automated diagnostics, image analysis and interpretation, workflow optimization, and remote and telepathology. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence in pathology market also includes sales of high-resolution scanners, graphics processing units (GPUs), workstations, and storage systems. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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