This Artificial Intelligence in Pathology market report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
The artificial intelligence in pathology market size has grown rapidly in recent years. It will grow from $1.08 billion in 2023 to $1.22 billion in 2024 at a compound annual growth rate (CAGR) of 13.5%. The growth observed during the historical period can be attributed to the rising prevalence of diseases, increased funding initiatives, greater use of telemedicine, enhanced government initiatives, and a growing 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 $2.04 billion in 2028 at a compound annual growth rate (CAGR) of 13.6%. The anticipated growth during the forecast period can be linked to the expansion of AI in clinical trials, the development of healthcare infrastructure, interdisciplinary collaborations, the establishment of clear ethical guidelines, and the advancement of AI-based predictive analytics. Key trends expected in this period include the development of AI-powered diagnostic tools, integration with electronic health records, computer-aided diagnosis (CAD), AI-driven biomarker discovery, and the incorporation of 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.
This product will be delivered within 3-5 business days.
The artificial intelligence in pathology market size has grown rapidly in recent years. It will grow from $1.08 billion in 2023 to $1.22 billion in 2024 at a compound annual growth rate (CAGR) of 13.5%. The growth observed during the historical period can be attributed to the rising prevalence of diseases, increased funding initiatives, greater use of telemedicine, enhanced government initiatives, and a growing 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 $2.04 billion in 2028 at a compound annual growth rate (CAGR) of 13.6%. The anticipated growth during the forecast period can be linked to the expansion of AI in clinical trials, the development of healthcare infrastructure, interdisciplinary collaborations, the establishment of clear ethical guidelines, and the advancement of AI-based predictive analytics. Key trends expected in this period include the development of AI-powered diagnostic tools, integration with electronic health records, computer-aided diagnosis (CAD), AI-driven biomarker discovery, and the incorporation of 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.
This product will be delivered within 3-5 business days.
Table of Contents
1. Executive Summary2. Artificial Intelligence in Pathology Market Characteristics3. Artificial Intelligence in Pathology Market Trends and Strategies32. Global Artificial Intelligence in Pathology Market Competitive Benchmarking33. Global Artificial Intelligence in Pathology Market Competitive Dashboard34. Key Mergers and Acquisitions in the Artificial Intelligence in Pathology Market
4. Artificial Intelligence in Pathology Market - Macro Economic Scenario
5. Global Artificial Intelligence in Pathology Market Size and Growth
6. Artificial Intelligence in Pathology Market Segmentation
7. Artificial Intelligence in Pathology Market Regional and Country Analysis
8. Asia-Pacific Artificial Intelligence in Pathology Market
9. China Artificial Intelligence in Pathology Market
10. India Artificial Intelligence in Pathology Market
11. Japan Artificial Intelligence in Pathology Market
12. Australia Artificial Intelligence in Pathology Market
13. Indonesia Artificial Intelligence in Pathology Market
14. South Korea Artificial Intelligence in Pathology Market
15. Western Europe Artificial Intelligence in Pathology Market
16. UK Artificial Intelligence in Pathology Market
17. Germany Artificial Intelligence in Pathology Market
18. France Artificial Intelligence in Pathology Market
19. Italy Artificial Intelligence in Pathology Market
20. Spain Artificial Intelligence in Pathology Market
21. Eastern Europe Artificial Intelligence in Pathology Market
22. Russia Artificial Intelligence in Pathology Market
23. North America Artificial Intelligence in Pathology Market
24. USA Artificial Intelligence in Pathology Market
25. Canada Artificial Intelligence in Pathology Market
26. South America Artificial Intelligence in Pathology Market
27. Brazil Artificial Intelligence in Pathology Market
28. Middle East Artificial Intelligence in Pathology Market
29. Africa Artificial Intelligence in Pathology Market
30. Artificial Intelligence in Pathology Market Competitive Landscape and Company Profiles
31. Artificial Intelligence in Pathology Market Other Major and Innovative Companies
35. Artificial Intelligence in Pathology Market Future Outlook and Potential Analysis
36. Appendix
Executive Summary
Artificial Intelligence in Pathology Global Market Report 2024 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on artificial intelligence in pathology market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for artificial intelligence in pathology? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The artificial intelligence in pathology market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include:
- The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.
- The impact of higher inflation in many countries and the resulting spike in interest rates.
- The continued but declining impact of COVID-19 on supply chains and consumption patterns.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:
1) By Component: Software; Scanners2) 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
Key Companies Mentioned: F. Hoffmann-La Roche Ltd; Koninklijke Philips N.V.; Hamamatsu Photonics K.K.; Leica Biosystems; Tempus Labs Inc.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: PDF, Word and Excel Data Dashboard.
Companies Mentioned
The major companies profiled in this Artificial Intelligence in Pathology market report include:- 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.
Table Information
Report Attribute | Details |
---|---|
No. of Pages | 175 |
Published | November 2024 |
Forecast Period | 2024 - 2028 |
Estimated Market Value ( USD | $ 1.22 Billion |
Forecasted Market Value ( USD | $ 2.04 Billion |
Compound Annual Growth Rate | 13.6% |
Regions Covered | Global |
No. of Companies Mentioned | 25 |