The Europe AI in Pathology Market would witness market growth of 15.4% CAGR during the forecast period (2023-2030).
AI in pathology has accelerated the transition toward personalized medicine by enabling the identification of specific biomarkers associated with individual patient profiles. In order to identify unique biomarkers, machine learning algorithms can analyze diverse data sets, including genetic information, pathology images, and clinical records. This facilitates the development of targeted therapies, optimizing therapy plans based on an individual's genetic makeup and disease characteristics. The seamless integration of AI in pathology with electronic health records has streamlined data management and accessibility. This integration enhances the efficiency of healthcare systems by providing a comprehensive view of patient data and facilitating data-driven decision-making.
The integration of AI in pathology has synergized with telepathology, allowing pathologists to collaborate remotely for consultations and second opinions. AI algorithms can assist in rapidly analyzing pathology images, enabling timely and accurate diagnoses even in geographically dispersed locations. This trend has proven especially valuable in addressing healthcare disparities and improving access to pathology expertise in underserved regions. AI algorithms excel in image recognition and pattern detection, making them invaluable for diagnostic assistance in pathology.
Europe is working on establishing clear regulatory frameworks for the use of AI in healthcare. Well-defined guidelines promote AI technologies' responsible and ethical deployment, fostering confidence among healthcare providers and patients. Implementing telepathology, facilitated by AI, enables remote access to pathology services. Due to the aforementioned factors the market growth will drive in this region.
The Germany market dominated the Europe AI in Pathology Market, By Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $4,215.1 Thousands by 2030. The UK market is exhibiting a CAGR of 14.3% during (2023 - 2030). Additionally, The France market would experience a CAGR of 16.2% during (2023 - 2030).
Based on Neural Network, the market is segmented into Convolutional neural networks (CNNs), Generative adversarial networks (GANs), Recurrent neural networks (RNNs), and Others. Based on Application, the market is segmented into Drug Discovery, Disease Diagnosis & Prognosis, Clinical Workflow, and Others. Based on End User, the market is segmented into Pharmaceutical & Biotechnology Companies, Hospitals & Reference Laboratories, and Academic & Research Institutes. Based on Component, the market is segmented into Scanners, and Software. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include 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.
AI in pathology has accelerated the transition toward personalized medicine by enabling the identification of specific biomarkers associated with individual patient profiles. In order to identify unique biomarkers, machine learning algorithms can analyze diverse data sets, including genetic information, pathology images, and clinical records. This facilitates the development of targeted therapies, optimizing therapy plans based on an individual's genetic makeup and disease characteristics. The seamless integration of AI in pathology with electronic health records has streamlined data management and accessibility. This integration enhances the efficiency of healthcare systems by providing a comprehensive view of patient data and facilitating data-driven decision-making.
The integration of AI in pathology has synergized with telepathology, allowing pathologists to collaborate remotely for consultations and second opinions. AI algorithms can assist in rapidly analyzing pathology images, enabling timely and accurate diagnoses even in geographically dispersed locations. This trend has proven especially valuable in addressing healthcare disparities and improving access to pathology expertise in underserved regions. AI algorithms excel in image recognition and pattern detection, making them invaluable for diagnostic assistance in pathology.
Europe is working on establishing clear regulatory frameworks for the use of AI in healthcare. Well-defined guidelines promote AI technologies' responsible and ethical deployment, fostering confidence among healthcare providers and patients. Implementing telepathology, facilitated by AI, enables remote access to pathology services. Due to the aforementioned factors the market growth will drive in this region.
The Germany market dominated the Europe AI in Pathology Market, By Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $4,215.1 Thousands by 2030. The UK market is exhibiting a CAGR of 14.3% during (2023 - 2030). Additionally, The France market would experience a CAGR of 16.2% during (2023 - 2030).
Based on Neural Network, the market is segmented into Convolutional neural networks (CNNs), Generative adversarial networks (GANs), Recurrent neural networks (RNNs), and Others. Based on Application, the market is segmented into Drug Discovery, Disease Diagnosis & Prognosis, Clinical Workflow, and Others. Based on End User, the market is segmented into Pharmaceutical & Biotechnology Companies, Hospitals & Reference Laboratories, and Academic & Research Institutes. Based on Component, the market is segmented into Scanners, and Software. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include 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.
Scope of the Study
Market Segments Covered in the Report:
By Neural Network- Convolutional neural networks (CNNs)
- Generative adversarial networks (GANs)
- Recurrent neural networks (RNNs)
- Others
- Drug Discovery
- Disease Diagnosis & Prognosis
- Clinical Workflow
- Others
- Pharmaceutical & Biotechnology Companies
- Hospitals & Reference Laboratories
- Academic & Research Institutes
- Scanners
- Software
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
Key Market Players
List of Companies Profiled in the Report:
- 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
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
- Subscription-based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market at a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. Europe AI in Pathology Market, By Neural Network
Chapter 6. Europe AI in Pathology Market, By Application
Chapter 7. Europe AI in Pathology Market, By End User
Chapter 8. Europe AI in Pathology Market, By Component
Chapter 9. Europe AI in Pathology Market, By Country
Chapter 10. Company Profiles
Companies Mentioned
- 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
Methodology
LOADING...
