The North America AI in Pathology Market would witness market growth of 15.1% CAGR during the forecast period (2023-2030).
The growing burden of diseases, particularly chronic and complex conditions, necessitates more efficient and accurate diagnostic approaches. AI in pathology addresses this need by providing tools to handle pathology data's increasing volume and complexity, leading to improved diagnostic precision. Many regions face a shortage of skilled pathologists, leading to delays in diagnoses and treatment initiation. AI in pathology serves as a force multiplier, augmenting the capabilities of existing pathologists and addressing the shortage by automating routine tasks, allowing pathologists to focus on complex cases.
As the healthcare industry shifts towards personalized treatment, there is a growing demand for tailored diagnostic and treatment approaches. AI in pathology contributes to this paradigm shift by enabling the identification of specific biomarkers and molecular signatures associated with individual patients, facilitating the development of targeted therapies. The continuous evolution of imaging technologies, such as whole-slide imaging and high-resolution microscopy, provides a rich source of digital pathology data. AI algorithms can leverage these advancements to extract meaningful information from pathology images, unlocking new possibilities for precise diagnostics and research.
The region is home to leading class research institutions, medical centers, and academic organizations. These institutions drive innovation in AI applications for pathology, fostering collaboration between researchers, clinicians, and technology developers. Thus, the above aspects will expand the market growth across the region in the upcoming years.
The US market dominated the North America AI in Pathology Market, By Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $19,324.2 Thousands by 2030. The Canada market is experiencing a CAGR of 17.7% during (2023 - 2030). Additionally, The Mexico market would exhibit a CAGR of 16.7% 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 U.S., Mexico, Canada, and Rest of North America.
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.
The growing burden of diseases, particularly chronic and complex conditions, necessitates more efficient and accurate diagnostic approaches. AI in pathology addresses this need by providing tools to handle pathology data's increasing volume and complexity, leading to improved diagnostic precision. Many regions face a shortage of skilled pathologists, leading to delays in diagnoses and treatment initiation. AI in pathology serves as a force multiplier, augmenting the capabilities of existing pathologists and addressing the shortage by automating routine tasks, allowing pathologists to focus on complex cases.
As the healthcare industry shifts towards personalized treatment, there is a growing demand for tailored diagnostic and treatment approaches. AI in pathology contributes to this paradigm shift by enabling the identification of specific biomarkers and molecular signatures associated with individual patients, facilitating the development of targeted therapies. The continuous evolution of imaging technologies, such as whole-slide imaging and high-resolution microscopy, provides a rich source of digital pathology data. AI algorithms can leverage these advancements to extract meaningful information from pathology images, unlocking new possibilities for precise diagnostics and research.
The region is home to leading class research institutions, medical centers, and academic organizations. These institutions drive innovation in AI applications for pathology, fostering collaboration between researchers, clinicians, and technology developers. Thus, the above aspects will expand the market growth across the region in the upcoming years.
The US market dominated the North America AI in Pathology Market, By Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $19,324.2 Thousands by 2030. The Canada market is experiencing a CAGR of 17.7% during (2023 - 2030). Additionally, The Mexico market would exhibit a CAGR of 16.7% 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 U.S., Mexico, Canada, and Rest of North America.
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
- US
- Canada
- Mexico
- Rest of North America
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. North America AI in Pathology Market, By Neural Network
Chapter 6. North America AI in Pathology Market, By Application
Chapter 7. North America AI in Pathology Market, By End User
Chapter 8. North America AI in Pathology Market, By Component
Chapter 9. North America 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...
