AI in Pathology Market

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. Higher implementations of various IT systems in healthcare organizations and predictable outcomes of high quality have led to this gradual shift to AI. For example, earlier to view glass slides the pathology labs used to rely on microscopes, but now digital scanners are used to convert glass slides into high-resolution digital images, with the help of AI algorithms which allows easy analysis. Some of the other factors that act as a driving force are the growing digitization of pathology, Increased use of AI to enhance lab efficiency, rising cases of misdiagnosis, and technological advancements in deep learning enabling a synergy with artificial intelligence (AI) in pathology space. However, the lack of skilled AI workforce, high cost of digitization of pathology and stringent regulations for medical software are expected to restrain the growth of the market.

Prominent players in the AI in pathology market include Koninklijke Philips N.V. (Netherlands), F. 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), and Tribun Health (France). These companies adopted strategies such as product launches, expansions, agreements, partnerships, collaborations, product approvals, investments, and acquisitions to strengthen their market presence in the AI in pathology market.

To know about the assumptions considered for the study download the pdf brochure

F. Hoffmann-La Roche Ltd. is one of the prominent players in the AI in Pathology market. Roche diagnostics has been investing significant amounts of money in the research and development activities ton improve the existing portfolio, as it has a strong product portfolio for the growing AI in pathology market. The company achieves its target of rapid growth by developing and launching new and advanced products in the market to foster more and more partnerships and collaborations. For instance, in September 2024, Roche launched advanced artificial intelligence (AI) algorithms software, that provides valuable insights in pathology benefiting the cancer patients by supporting precision medicine and enabling targeted treatments.

Koninklijke Philips N.V. is a significant operating company in the AI in pathology market. This company has wide regional reach as well as a broad worldwide sales and distribution network. Philips uses strategic organic growth approaches like expansions, collaborations, and partnerships to grow its market share in this market. Philips makes significant investments in R&D activities to technologically add to its product portfolio. For example, in 2024, Philips collaborated with Amazon Web Services (AWS) (US) to Koninklijke Philips N.V. expanded collaboration with Amazon Web Services (AWS) to meet the increasing demand for secure, scalable digital pathology solutions in the cloud.

Hologic, Inc. which is one of the prominent players in the AI in pathology market provides software solutions to hospitals and healthcare systems, that promote AI in pathology solutions for better patient care. These include cytology systems such as Genius Digital Diagnostics System. Organic strategies such as product approval have been used by the company to increase both its geographic presence and its solutions for pathology, including Al. For example, Hologic, Inc. reported in February 2024 that the U.S. Food and Drug Administration has cleared its new Genius Digital Diagnostics System, which includes the GeniusTM Cervical Al algorithm.

Akoya Biosciences, Inc. is a life sciences technology company that delivers spatial biology solutions focused on transforming clinical research and discovery. The company offers a diverse product portfolio that provide single-cell imaging solutions that allow researchers to phenotype cells with spatial context and visualize how they organize and interact to influence disease progression and treatment response. To serve the diverse requirements of researchers across discovery, translational, and clinical research Akoya provides three different solutions namely, the PhenoCycler Phenolmager, and inform. The company also does a significant investment towards R&D to improve its product portfolio by making it more technologically advanced and up to date.

Aiforia technologies PLC develops strong deep learning and cloud-based technologies to advance image analysis tasks and workflows at preclinical and clinical labs. The platform that is provide by the company can analyse lung lesions, hyaline membranes, and inflammatory cell infiltrate, among other aspects, by using image management, visual analysis, and collaboration tools. The company has a global presence in more than 50+ countries. In June 2021, the company raised funding of USD 15.37 million, which would further accelerate its position in the AI in pathology market.

Related Reports:

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 (Hospital, Labs, Pharma/Biotech), & Region - Global Forecast to 2029

Contact:
Mr. Rohan Salgarkar
MarketsandMarkets™ INC.
1615 South Congress Ave.
Suite 103, Delray Beach, FL 33445
USA : 1-888-600-6441
[email protected]