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Artificial Intelligence In Pathology: A Leading Driver Behind Increasing Need For Personalized Medicine Is Driving The Growth Of The Artificial Intelligence In Pathology Market. Market Expansion in 2025
Use code ONLINE30 to get 30% off on global market reports and stay ahead of tariff changes, macro trends, and global economic shifts.What Will the Artificial Intelligence In Pathology Industry Market Size Be by 2025?
Over the past years, the size of the artificial intelligence in pathology market has seen substantial growth. The market, which was worth $1.22 billion in 2024, is predicted to expand to $1.39 billion in 2025, showcasing a compound annual growth rate (CAGR) of 13.8%. The noteworthy growth in the historic period can be ascribed to the dramatic rise in disease prevalence, surge in funding initiatives, growing utilization of telemedicine, ramped up government initiatives, and heightened demand for pathology services.
What's the Long-Term Growth Forecast for the Artificial Intelligence In Pathology Market Size Through 2029?
The market size for artificial intelligence in pathology is predicted to witness a swift expansion in the subsequent years, escalating to $2.31 billion by 2029, with a compound annual growth rate (CAGR) of 13.5%. The augmentation predicted for this period can be credited to factors like the expansion of AI in clinical studies, growth of the healthcare framework, cross-disciplinary partnerships, and establishment of well-defined ethical standards, along with the rise of predictive analytics based on AI. Key trends projected for this timeframe involve the creation of diagnostic tools powered by AI, assimilation with digital health records, computer-aided diagnosis (CAD), discovery of biomarkers driven by AI, and integration with genomic information.
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What Are the Key Growth Drivers Fueling the Artificial Intelligence In Pathology Market Expansion?
The growing demand for personalized healthcare is anticipated to fuel the expansion of the artificial intelligence in pathology market. Personalized medicine, which adapts medical treatments to the unique characteristics, requirements, and preferences of each person, is becoming more important in order to customize treatments to each patient's genetic profile, lifestyle attributes, and disease specifics, leading to improved effectiveness and minimizing side effects. Artificial Intelligence (AI) in pathology supports this by permitting a more detailed and effective examination of medical imagery and genetic information, enabling a more accurate diagnosis, improved identification of disease variations, and crafting treatment plans specifically suited to each patient's individual biological traits. To illustrate, a February 2023 report by the USA's Personalized Medicine Coalition, a professional membership organization, highlighted the approval of 12 new personalized medicines in 2022, representing around 34% of all new treatments, indicating a substantial increase from previous years. Consequently, this rising demand for personalized medicine is steering the growth of artificial intelligence in the pathology sector.
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What Are the Key Trends Driving Artificial Intelligence In Pathology Market Growth?
Key players in the artificial intelligence for pathology market are concentrating their efforts on developing enhanced solutions, like advanced tools for cancer detection, to boost diagnostic precision, optimize workflows, and amplify patient outcomes. These advanced cancer detection tools employ machine learning algorithms and complex learning models to scrutinize medical images and pathology slides, resulting in an increase in the precision of tumor detection and classification. For example, Paige.ai, an American digital pathology firm, rolled out the Paige Lymph Node Module in March 2022 to aid pathologists in identifying metastases of breast cancer in lymph nodes. Notably, it boasts features such as a sensitivity of over 98% in spotting breast cancer metastases of all sizes- even the smallest micrometastases. It uses a distinctive TissueMap to underscore suspicious regions on lymph node slides, which enhances the thoroughness and precision of the pathologist's reviews while significantly cutting down the time taken for analysis.
How Is the Artificial Intelligence In Pathology Market Segmented?
The artificial intelligence in pathologymarket covered in this report is segmented -
1) By Component: Software, Scanners
2) By Neural Network: Generative Adversarial Networks, Convolutional Neural Networks, Conventional Neural Network, Recurrent Neural Networks, Other Neural Networks
3) By Application: Drug Discovery, Disease Diagnosis And Prognosis, Clinical Workflow, Training And Education
4) By End User: Pharmaceutical And Biotechnology Companies, Hospitals And Reference Laboratories, Academic And Research Institutes
Subsegments:
1) By Software: Image Analysis Software, Diagnostic Workflow Software, Predictive Analytics Software
2) By Scanners: Whole Slide Imaging Scanners, Digital Pathology Scanners, Multi-Spectral Imaging Scanners
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Which Companies Are Leading the Charge in Artificial Intelligence In Pathology Market Innovation?
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.
Which Regions Are Leading the Global Artificial Intelligence In Pathology Market in Revenue?
Asia-Pacific was the largest region in the artificial intelligence in pathology market in 2024. 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.
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