AI in Digital Pathology Market Research Report from 2023 forecast to 2029, by Manufacturers, Regions, Type and Application

The global AI in Digital Pathology market size was valued at USD 241.8 million in 2022 and is forecast to a readjusted size of USD 744 million by 2029 with a CAGR of 17.4% during review period.

Report includes an overview of the development of the AI in Digital Pathology industry chain, the market status of Hospital (Diagnosis Support, Predictive Modeling), Diagnostic Centers (Diagnosis Support, Predictive Modeling), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of AI in Digital Pathology.

Regionally, the report analyzes the AI in Digital Pathology markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global AI in Digital Pathology market, with robust domestic demand, supportive policies, and a strong manufacturing base.

Key Features:

The report presents comprehensive understanding of the AI in Digital Pathology market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the AI in Digital Pathology industry.

The report involves analyzing the market at a macro level:

Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Diagnosis Support, Predictive Modeling).

Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the AI in Digital Pathology market.

Regional Analysis: The report involves examining the AI in Digital Pathology market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.

Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the AI in Digital Pathology market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.

The report also involves a more granular approach to AI in Digital Pathology:

Company Analysis: Report covers individual AI in Digital Pathology players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.

Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards AI in Digital Pathology This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Hospital, Diagnostic Centers).

Technology Analysis: Report covers specific technologies relevant to AI in Digital Pathology. It assesses the current state, advancements, and potential future developments in AI in Digital Pathology areas.

Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the AI in Digital Pathology market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.

Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.

   PathAI
   Proscia
   Aiforia
   Deep Bio
   Hologic
   Dipath
   iDeepwise
   LBP
   F.Q pathtech
   CellaVision
   AIRA Matrix
   Syntropy
   Indica Labs
   DoMore Diagnostics
   Mindpeak
   Evidium

   Diagnosis Support
   Predictive Modeling
   Pattern Recognition
   Image Analysis and Detection
   Other

   Hospital
   Diagnostic Centers
   Laboratories & Research Institutes

   North America (United States, Canada, and Mexico)
   Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
   Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
   South America (Brazil, Argentina and Rest of South America)
   Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

What are the strengths of AI in the Digital Pathology market in 2025?

AI enhances diagnostic accuracy and efficiency, reducing human error and streamlining workflows. Its ability to process large datasets quickly enables faster decision-making, improving patient outcomes and operational productivity in pathology labs.

What weaknesses could hinder the growth of AI in Digital Pathology?

High costs of implementation, lack of standardization across AI platforms, and the need for extensive training for pathologists to integrate AI tools effectively. Additionally, concerns around data security and ethical use remain challenges.

What opportunities are driving the adoption of AI in Digital Pathology?

Rising demand for personalized medicine, increasing adoption of digital health technologies, and advancements in machine learning algorithms. AI also offers opportunities for collaboration between healthcare providers and technology companies to develop innovative diagnostic solutions.

What threats could impact the expansion of AI in this market?

Regulatory hurdles, potential resistance from pathologists who fear AI may replace human expertise, and the risk of biases in AI algorithms. Competition from emerging technologies and ongoing cybersecurity threats could also pose significant risks.

What political factors influence the AI in Digital Pathology market in 2025?

Government policies promoting healthcare digitization and funding for AI research drive market growth. However, varying regulations across regions and strict compliance requirements can create hurdles for AI adoption.

What economic factors affect the development of this market?

Increased healthcare spending and cost-saving potential of AI encourage investment. On the downside, high initial implementation costs and economic instability in some regions may slow market penetration.

What social factors shape the adoption of AI in Digital Pathology?

Growing awareness of the benefits of AI in improving healthcare outcomes fosters acceptance. However, concerns about job displacement and patient trust in AI-based diagnostics may present challenges.

What technological factors drive advancements in this market?

Rapid innovations in AI algorithms, machine learning, and cloud computing enhance the capabilities of digital pathology. Integration with advanced imaging technologies and interoperability improvements also accelerate growth.

What environmental factors impact the AI in Digital Pathology market?

Sustainability concerns drive the adoption of energy-efficient AI solutions. However, the environmental impact of data centers and AI hardware manufacturing remains a consideration.

What legal factors influence the market's trajectory?

Data privacy laws such as GDPR and HIPAA shape the use of AI in handling sensitive patient information. Patents and intellectual property rights for AI algorithms can also impact competition and innovation.

Who are the suppliers in the AI in Digital Pathology market in 2025?

Suppliers include technology developers, AI solution providers, hardware manufacturers, and data storage vendors. Academic institutions and research organizations also contribute by advancing AI technologies and algorithms.

Who are the inputs for AI in Digital Pathology?

Inputs consist of high-quality pathology slides, annotated datasets for training AI models, robust computational infrastructure, and skilled professionals to manage AI integration and operations.

What are the processes involved in AI in Digital Pathology?

Key processes include digitizing pathology slides, training AI algorithms on datasets, deploying AI tools for diagnostics, integrating with laboratory information systems, and continuous validation of AI performance for clinical use.

Who are the outputs of this market?

Outputs are accurate diagnostic reports, predictive insights for patient treatment plans, workflow efficiency improvements, and enhanced pathology research capabilities.

Who are the customers in the AI in Digital Pathology market?

Customers include hospitals, diagnostic laboratories, academic research centers, pharmaceutical companies, and clinicians seeking advanced tools for faster and more accurate diagnostics.

What is the level of competitive rivalry in the AI in Digital Pathology market in 2025?

Competitive rivalry is high, driven by numerous players including established tech companies, startups, and healthcare providers. The rapid pace of technological advancements and frequent product innovations intensify the competition.

What is the bargaining power of suppliers in this market?

The bargaining power of suppliers is moderate, as AI systems rely on specialized hardware, data, and expertise. However, growing competition among suppliers can balance their influence over pricing and availability.

What is the bargaining power of buyers in this market?

Buyers, such as hospitals and labs, have moderate bargaining power due to the availability of multiple AI solutions. However, the critical role of AI in improving diagnostics ensures steady demand, limiting buyers' leverage.

What is the threat of new entrants in this market?

The threat of new entrants is moderate. While the high capital and expertise requirements create barriers, advancements in open-source AI tools and the lucrative nature of the market attract new players.

What is the threat of substitute products or services in this market?

The threat of substitutes is low, as traditional pathology methods cannot match the efficiency and accuracy provided by AI. However, emerging technologies like quantum computing could pose a future challenge.

Who are the key upstream players in the AI in Digital Pathology market in 2025?

Key upstream players include AI technology developers, hardware manufacturers for digital pathology systems, cloud service providers, and suppliers of high-quality pathology datasets used for training AI models.

What are the essential resources required upstream for this market?

Essential resources include advanced computing infrastructure, annotated medical datasets, high-resolution digital scanners, and expertise in AI model development and deployment.

What are the challenges faced by upstream players in this market?

Challenges include maintaining data privacy during AI training, ensuring the availability of diverse and unbiased datasets, and meeting the stringent quality standards required for healthcare applications.

What role do partnerships play in the upstream ecosystem of this market?

Partnerships are crucial for combining technical expertise and healthcare insights. Collaborations between AI companies, academic institutions, and medical device manufacturers drive innovation and improve the reliability of AI solutions.

What are the key midstream players in the AI in Digital Pathology market in 2025?

Midstream players include AI solution integrators, software developers, digital pathology platform providers, and healthcare systems that enable the deployment of AI technologies within clinical environments.

What are the key processes involved in the midstream of this market?

The key processes include integrating AI algorithms into digital pathology systems, conducting clinical trials to validate AI tools, ensuring regulatory compliance, and facilitating the adoption of these technologies within healthcare institutions.

What are the challenges faced by midstream players in this market?

Challenges include navigating complex regulatory frameworks, ensuring interoperability between AI tools and existing laboratory information systems, and managing the resistance from healthcare professionals toward AI integration.

What role do partnerships play in the midstream ecosystem?

Partnerships are vital for bridging the gap between AI developers and healthcare providers, allowing for seamless integration and widespread adoption of AI-driven digital pathology solutions. Collaboration with regulatory bodies is also essential for compliance.

Who are the key downstream players in the AI in Digital Pathology market in 2025?

Key downstream players include hospitals, diagnostic labs, pathologists, healthcare providers, and pharmaceutical companies that utilize AI-powered digital pathology solutions for diagnostics, research, and personalized treatment planning.

What are the main activities downstream in this market?

Main activities include using AI-driven digital pathology platforms for faster and more accurate diagnoses, improving patient care through personalized medicine, and conducting research using AI-based insights to advance medical knowledge.

What challenges do downstream players face in this market?

Challenges include ensuring accurate implementation of AI tools, integrating them into existing clinical workflows, gaining trust from healthcare professionals and patients, and managing the cost of AI technology adoption in resource-constrained settings.

What role do customer feedback and collaboration play downstream?

Customer feedback and collaboration are crucial for refining AI solutions, enhancing user experience, and ensuring the technology addresses real-world clinical needs. Collaboration with healthcare professionals helps drive adoption and optimize performance.

Chapter 1, to describe AI in Digital Pathology product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI in Digital Pathology, with revenue, gross margin and global market share of AI in Digital Pathology from 2018 to 2023.
Chapter 3, the AI in Digital Pathology competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2018 to 2029.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2018 to 2023.and AI in Digital Pathology market forecast, by regions, type and application, with consumption value, from 2024 to 2029.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI in Digital Pathology.
Chapter 13, to describe AI in Digital Pathology research findings and conclusion.

1 Market Overview

   1.1 Product Overview and Scope of AI in Digital Pathology
   1.2 Market Estimation Caveats and Base Year
   1.3 Classification of AI in Digital Pathology by Type
       1.3.1 Overview: Global AI in Digital Pathology Market Size by Type: 2018 Versus 2022 Versus 2029
       1.3.2 Global AI in Digital Pathology Consumption Value Market Share by Type in 2022
       1.3.3 Diagnosis Support
       1.3.4 Predictive Modeling
       1.3.5 Pattern Recognition
       1.3.6 Image Analysis and Detection
       1.3.7 Other
   1.4 Global AI in Digital Pathology Market by Application
       1.4.1 Overview: Global AI in Digital Pathology Market Size by Application: 2018 Versus 2022 Versus 2029
       1.4.2 Hospital
       1.4.3 Diagnostic Centers
       1.4.4 Laboratories & Research Institutes
   1.5 Global AI in Digital Pathology Market Size & Forecast
   1.6 Global AI in Digital Pathology Market Size and Forecast by Region
       1.6.1 Global AI in Digital Pathology Market Size by Region: 2018 VS 2022 VS 2029
       1.6.2 Global AI in Digital Pathology Market Size by Region, (2018-2029)
       1.6.3 North America AI in Digital Pathology Market Size and Prospect (2018-2029)
       1.6.4 Europe AI in Digital Pathology Market Size and Prospect (2018-2029)
       1.6.5 Asia-Pacific AI in Digital Pathology Market Size and Prospect (2018-2029)
       1.6.6 South America AI in Digital Pathology Market Size and Prospect (2018-2029)
       1.6.7 Middle East and Africa AI in Digital Pathology Market Size and Prospect (2018-2029)

2 Company Profiles

   2.1 PathAI
       2.1.1 PathAI Details
       2.1.2 PathAI Major Business
       2.1.3 PathAI AI in Digital Pathology Product and Solutions
       2.1.4 PathAI AI in Digital Pathology Revenue, Gross Margin and Market Share (2018-2023)
       2.1.5 PathAI Recent Developments and Future Plans
   2.2 Proscia
       2.2.1 Proscia Details
       2.2.2 Proscia Major Business
       2.2.3 Proscia AI in Digital Pathology Product and Solutions
       2.2.4 Proscia AI in Digital Pathology Revenue, Gross Margin and Market Share (2018-2023)
       2.2.5 Proscia Recent Developments and Future Plans
   2.3 Aiforia
       2.3.1 Aiforia Details
       2.3.2 Aiforia Major Business
       2.3.3 Aiforia AI in Digital Pathology Product and Solutions
       2.3.4 Aiforia AI in Digital Pathology Revenue, Gross Margin and Market Share (2018-2023)
       2.3.5 Aiforia Recent Developments and Future Plans
   2.4 Deep Bio
       2.4.1 Deep Bio Details
       2.4.2 Deep Bio Major Business
       2.4.3 Deep Bio AI in Digital Pathology Product and Solutions
       2.4.4 Deep Bio AI in Digital Pathology Revenue, Gross Margin and Market Share (2018-2023)
       2.4.5 Deep Bio Recent Developments and Future Plans
   2.5 Hologic
       2.5.1 Hologic Details
       2.5.2 Hologic Major Business
       2.5.3 Hologic AI in Digital Pathology Product and Solutions
       2.5.4 Hologic AI in Digital Pathology Revenue, Gross Margin and Market Share (2018-2023)
       2.5.5 Hologic Recent Developments and Future Plans
   2.6 Dipath
       2.6.1 Dipath Details
       2.6.2 Dipath Major Business
       2.6.3 Dipath AI in Digital Pathology Product and Solutions
       2.6.4 Dipath AI in Digital Pathology Revenue, Gross Margin and Market Share (2018-2023)
       2.6.5 Dipath Recent Developments and Future Plans
   2.7 iDeepwise
       2.7.1 iDeepwise Details
       2.7.2 iDeepwise Major Business
       2.7.3 iDeepwise AI in Digital Pathology Product and Solutions
       2.7.4 iDeepwise AI in Digital Pathology Revenue, Gross Margin and Market Share (2018-2023)
       2.7.5 iDeepwise Recent Developments and Future Plans
   2.8 LBP
       2.8.1 LBP Details
       2.8.2 LBP Major Business
       2.8.3 LBP AI in Digital Pathology Product and Solutions
       2.8.4 LBP AI in Digital Pathology Revenue, Gross Margin and Market Share (2018-2023)
       2.8.5 LBP Recent Developments and Future Plans
   2.9 F.Q pathtech
       2.9.1 F.Q pathtech Details
       2.9.2 F.Q pathtech Major Business
       2.9.3 F.Q pathtech AI in Digital Pathology Product and Solutions
       2.9.4 F.Q pathtech AI in Digital Pathology Revenue, Gross Margin and Market Share (2018-2023)
       2.9.5 F.Q pathtech Recent Developments and Future Plans
   2.10 CellaVision 
       2.10.1 CellaVision Details
       2.10.2 CellaVision Major Business
       2.10.3 CellaVision AI in Digital Pathology Product and Solutions
       2.10.4 CellaVision AI in Digital Pathology Revenue, Gross Margin and Market Share (2018-2023)
       2.10.5 CellaVision Recent Developments and Future Plans
   2.11 AIRA Matrix
       2.11.1 AIRA Matrix Details
       2.11.2 AIRA Matrix Major Business
       2.11.3 AIRA Matrix AI in Digital Pathology Product and Solutions
       2.11.4 AIRA Matrix AI in Digital Pathology Revenue, Gross Margin and Market Share (2018-2023)
       2.11.5 AIRA Matrix Recent Developments and Future Plans
   2.12 Syntropy
       2.12.1 Syntropy Details
       2.12.2 Syntropy Major Business
       2.12.3 Syntropy AI in Digital Pathology Product and Solutions
       2.12.4 Syntropy AI in Digital Pathology Revenue, Gross Margin and Market Share (2018-2023)
       2.12.5 Syntropy Recent Developments and Future Plans
   2.13 Indica Labs
       2.13.1 Indica Labs Details
       2.13.2 Indica Labs Major Business
       2.13.3 Indica Labs AI in Digital Pathology Product and Solutions
       2.13.4 Indica Labs AI in Digital Pathology Revenue, Gross Margin and Market Share (2018-2023)
       2.13.5 Indica Labs Recent Developments and Future Plans
   2.14 DoMore Diagnostics
       2.14.1 DoMore Diagnostics Details
       2.14.2 DoMore Diagnostics Major Business
       2.14.3 DoMore Diagnostics AI in Digital Pathology Product and Solutions
       2.14.4 DoMore Diagnostics AI in Digital Pathology Revenue, Gross Margin and Market Share (2018-2023)
       2.14.5 DoMore Diagnostics Recent Developments and Future Plans
   2.15 Mindpeak
       2.15.1 Mindpeak Details
       2.15.2 Mindpeak Major Business
       2.15.3 Mindpeak AI in Digital Pathology Product and Solutions
       2.15.4 Mindpeak AI in Digital Pathology Revenue, Gross Margin and Market Share (2018-2023)
       2.15.5 Mindpeak Recent Developments and Future Plans
   2.16 Evidium
       2.16.1 Evidium Details
       2.16.2 Evidium Major Business
       2.16.3 Evidium AI in Digital Pathology Product and Solutions
       2.16.4 Evidium AI in Digital Pathology Revenue, Gross Margin and Market Share (2018-2023)
       2.16.5 Evidium Recent Developments and Future Plans

3 Market Competition, by Players

   3.1 Global AI in Digital Pathology Revenue and Share by Players (2018-2023)
   3.2 Market Share Analysis (2022)
       3.2.1 Market Share of AI in Digital Pathology by Company Revenue
       3.2.2 Top 3 AI in Digital Pathology Players Market Share in 2022
       3.2.3 Top 6 AI in Digital Pathology Players Market Share in 2022
   3.3 AI in Digital Pathology Market: Overall Company Footprint Analysis
       3.3.1 AI in Digital Pathology Market: Region Footprint
       3.3.2 AI in Digital Pathology Market: Company Product Type Footprint
       3.3.3 AI in Digital Pathology Market: Company Product Application Footprint
   3.4 New Market Entrants and Barriers to Market Entry
   3.5 Mergers, Acquisition, Agreements, and Collaborations

4 Market Size Segment by Type

   4.1 Global AI in Digital Pathology Consumption Value and Market Share by Type (2018-2023)
   4.2 Global AI in Digital Pathology Market Forecast by Type (2024-2029)

5 Market Size Segment by Application

   5.1 Global AI in Digital Pathology Consumption Value Market Share by Application (2018-2023)
   5.2 Global AI in Digital Pathology Market Forecast by Application (2024-2029)

6 North America

   6.1 North America AI in Digital Pathology Consumption Value by Type (2018-2029)
   6.2 North America AI in Digital Pathology Consumption Value by Application (2018-2029)
   6.3 North America AI in Digital Pathology Market Size by Country
       6.3.1 North America AI in Digital Pathology Consumption Value by Country (2018-2029)
       6.3.2 United States AI in Digital Pathology Market Size and Forecast (2018-2029)
       6.3.3 Canada AI in Digital Pathology Market Size and Forecast (2018-2029)
       6.3.4 Mexico AI in Digital Pathology Market Size and Forecast (2018-2029)

7 Europe

   7.1 Europe AI in Digital Pathology Consumption Value by Type (2018-2029)
   7.2 Europe AI in Digital Pathology Consumption Value by Application (2018-2029)
   7.3 Europe AI in Digital Pathology Market Size by Country
       7.3.1 Europe AI in Digital Pathology Consumption Value by Country (2018-2029)
       7.3.2 Germany AI in Digital Pathology Market Size and Forecast (2018-2029)
       7.3.3 France AI in Digital Pathology Market Size and Forecast (2018-2029)
       7.3.4 United Kingdom AI in Digital Pathology Market Size and Forecast (2018-2029)
       7.3.5 Russia AI in Digital Pathology Market Size and Forecast (2018-2029)
       7.3.6 Italy AI in Digital Pathology Market Size and Forecast (2018-2029)

8 Asia-Pacific

   8.1 Asia-Pacific AI in Digital Pathology Consumption Value by Type (2018-2029)
   8.2 Asia-Pacific AI in Digital Pathology Consumption Value by Application (2018-2029)
   8.3 Asia-Pacific AI in Digital Pathology Market Size by Region
       8.3.1 Asia-Pacific AI in Digital Pathology Consumption Value by Region (2018-2029)
       8.3.2 China AI in Digital Pathology Market Size and Forecast (2018-2029)
       8.3.3 Japan AI in Digital Pathology Market Size and Forecast (2018-2029)
       8.3.4 South Korea AI in Digital Pathology Market Size and Forecast (2018-2029)
       8.3.5 India AI in Digital Pathology Market Size and Forecast (2018-2029)
       8.3.6 Southeast Asia AI in Digital Pathology Market Size and Forecast (2018-2029)
       8.3.7 Australia AI in Digital Pathology Market Size and Forecast (2018-2029)

9 South America

   9.1 South America AI in Digital Pathology Consumption Value by Type (2018-2029)
   9.2 South America AI in Digital Pathology Consumption Value by Application (2018-2029)
   9.3 South America AI in Digital Pathology Market Size by Country
       9.3.1 South America AI in Digital Pathology Consumption Value by Country (2018-2029)
       9.3.2 Brazil AI in Digital Pathology Market Size and Forecast (2018-2029)
       9.3.3 Argentina AI in Digital Pathology Market Size and Forecast (2018-2029)

10 Middle East & Africa

   10.1 Middle East & Africa AI in Digital Pathology Consumption Value by Type (2018-2029)
   10.2 Middle East & Africa AI in Digital Pathology Consumption Value by Application (2018-2029)
   10.3 Middle East & Africa AI in Digital Pathology Market Size by Country
       10.3.1 Middle East & Africa AI in Digital Pathology Consumption Value by Country (2018-2029)
       10.3.2 Turkey AI in Digital Pathology Market Size and Forecast (2018-2029)
       10.3.3 Saudi Arabia AI in Digital Pathology Market Size and Forecast (2018-2029)
       10.3.4 UAE AI in Digital Pathology Market Size and Forecast (2018-2029)

11 Market Dynamics

   11.1 AI in Digital Pathology Market Drivers
   11.2 AI in Digital Pathology Market Restraints
   11.3 AI in Digital Pathology Trends Analysis
   11.4 Porters Five Forces Analysis
       11.4.1 Threat of New Entrants
       11.4.2 Bargaining Power of Suppliers
       11.4.3 Bargaining Power of Buyers
       11.4.4 Threat of Substitutes
       11.4.5 Competitive Rivalry

12 Industry Chain Analysis

   12.1 AI in Digital Pathology Industry Chain
   12.2 AI in Digital Pathology Upstream Analysis
   12.3 AI in Digital Pathology Midstream Analysis
   12.4 AI in Digital Pathology Downstream Analysis

13 Research Findings and Conclusion

14 Appendix

   14.1 Methodology
   14.2 Research Process and Data Source
   14.3 Disclaimer

List of Tables

   Table 1. Global AI in Digital Pathology Consumption Value by Type, (USD Million), 2018 & 2022 & 2029
   Table 2. Global AI in Digital Pathology Consumption Value by Application, (USD Million), 2018 & 2022 & 2029
   Table 3. Global AI in Digital Pathology Consumption Value by Region (2018-2023) & (USD Million)
   Table 4. Global AI in Digital Pathology Consumption Value by Region (2024-2029) & (USD Million)
   Table 5. PathAI Company Information, Head Office, and Major Competitors
   Table 6. PathAI Major Business
   Table 7. PathAI AI in Digital Pathology Product and Solutions
   Table 8. PathAI AI in Digital Pathology Revenue (USD Million), Gross Margin and Market Share (2018-2023)
   Table 9. PathAI Recent Developments and Future Plans
   Table 10. Proscia Company Information, Head Office, and Major Competitors
   Table 11. Proscia Major Business
   Table 12. Proscia AI in Digital Pathology Product and Solutions
   Table 13. Proscia AI in Digital Pathology Revenue (USD Million), Gross Margin and Market Share (2018-2023)
   Table 14. Proscia Recent Developments and Future Plans
   Table 15. Aiforia Company Information, Head Office, and Major Competitors
   Table 16. Aiforia Major Business
   Table 17. Aiforia AI in Digital Pathology Product and Solutions
   Table 18. Aiforia AI in Digital Pathology Revenue (USD Million), Gross Margin and Market Share (2018-2023)
   Table 19. Aiforia Recent Developments and Future Plans
   Table 20. Deep Bio Company Information, Head Office, and Major Competitors
   Table 21. Deep Bio Major Business
   Table 22. Deep Bio AI in Digital Pathology Product and Solutions
   Table 23. Deep Bio AI in Digital Pathology Revenue (USD Million), Gross Margin and Market Share (2018-2023)
   Table 24. Deep Bio Recent Developments and Future Plans
   Table 25. Hologic Company Information, Head Office, and Major Competitors
   Table 26. Hologic Major Business
   Table 27. Hologic AI in Digital Pathology Product and Solutions
   Table 28. Hologic AI in Digital Pathology Revenue (USD Million), Gross Margin and Market Share (2018-2023)
   Table 29. Hologic Recent Developments and Future Plans
   Table 30. Dipath Company Information, Head Office, and Major Competitors
   Table 31. Dipath Major Business
   Table 32. Dipath AI in Digital Pathology Product and Solutions
   Table 33. Dipath AI in Digital Pathology Revenue (USD Million), Gross Margin and Market Share (2018-2023)
   Table 34. Dipath Recent Developments and Future Plans
   Table 35. iDeepwise Company Information, Head Office, and Major Competitors
   Table 36. iDeepwise Major Business
   Table 37. iDeepwise AI in Digital Pathology Product and Solutions
   Table 38. iDeepwise AI in Digital Pathology Revenue (USD Million), Gross Margin and Market Share (2018-2023)
   Table 39. iDeepwise Recent Developments and Future Plans
   Table 40. LBP Company Information, Head Office, and Major Competitors
   Table 41. LBP Major Business
   Table 42. LBP AI in Digital Pathology Product and Solutions
   Table 43. LBP AI in Digital Pathology Revenue (USD Million), Gross Margin and Market Share (2018-2023)
   Table 44. LBP Recent Developments and Future Plans
   Table 45. F.Q pathtech Company Information, Head Office, and Major Competitors
   Table 46. F.Q pathtech Major Business
   Table 47. F.Q pathtech AI in Digital Pathology Product and Solutions
   Table 48. F.Q pathtech AI in Digital Pathology Revenue (USD Million), Gross Margin and Market Share (2018-2023)
   Table 49. F.Q pathtech Recent Developments and Future Plans
   Table 50. CellaVision Company Information, Head Office, and Major Competitors
   Table 51. CellaVision Major Business
   Table 52. CellaVision AI in Digital Pathology Product and Solutions
   Table 53. CellaVision AI in Digital Pathology Revenue (USD Million), Gross Margin and Market Share (2018-2023)
   Table 54. CellaVision Recent Developments and Future Plans
   Table 55. AIRA Matrix Company Information, Head Office, and Major Competitors
   Table 56. AIRA Matrix Major Business
   Table 57. AIRA Matrix AI in Digital Pathology Product and Solutions
   Table 58. AIRA Matrix AI in Digital Pathology Revenue (USD Million), Gross Margin and Market Share (2018-2023)
   Table 59. AIRA Matrix Recent Developments and Future Plans
   Table 60. Syntropy Company Information, Head Office, and Major Competitors
   Table 61. Syntropy Major Business
   Table 62. Syntropy AI in Digital Pathology Product and Solutions
   Table 63. Syntropy AI in Digital Pathology Revenue (USD Million), Gross Margin and Market Share (2018-2023)
   Table 64. Syntropy Recent Developments and Future Plans
   Table 65. Indica Labs Company Information, Head Office, and Major Competitors
   Table 66. Indica Labs Major Business
   Table 67. Indica Labs AI in Digital Pathology Product and Solutions
   Table 68. Indica Labs AI in Digital Pathology Revenue (USD Million), Gross Margin and Market Share (2018-2023)
   Table 69. Indica Labs Recent Developments and Future Plans
   Table 70. DoMore Diagnostics Company Information, Head Office, and Major Competitors
   Table 71. DoMore Diagnostics Major Business
   Table 72. DoMore Diagnostics AI in Digital Pathology Product and Solutions
   Table 73. DoMore Diagnostics AI in Digital Pathology Revenue (USD Million), Gross Margin and Market Share (2018-2023)
   Table 74. DoMore Diagnostics Recent Developments and Future Plans
   Table 75. Mindpeak Company Information, Head Office, and Major Competitors
   Table 76. Mindpeak Major Business
   Table 77. Mindpeak AI in Digital Pathology Product and Solutions
   Table 78. Mindpeak AI in Digital Pathology Revenue (USD Million), Gross Margin and Market Share (2018-2023)
   Table 79. Mindpeak Recent Developments and Future Plans
   Table 80. Evidium Company Information, Head Office, and Major Competitors
   Table 81. Evidium Major Business
   Table 82. Evidium AI in Digital Pathology Product and Solutions
   Table 83. Evidium AI in Digital Pathology Revenue (USD Million), Gross Margin and Market Share (2018-2023)
   Table 84. Evidium Recent Developments and Future Plans
   Table 85. Global AI in Digital Pathology Revenue (USD Million) by Players (2018-2023)
   Table 86. Global AI in Digital Pathology Revenue Share by Players (2018-2023)
   Table 87. Breakdown of AI in Digital Pathology by Company Type (Tier 1, Tier 2, and Tier 3)
   Table 88. Market Position of Players in AI in Digital Pathology, (Tier 1, Tier 2, and Tier 3), Based on Revenue in 2022
   Table 89. Head Office of Key AI in Digital Pathology Players
   Table 90. AI in Digital Pathology Market: Company Product Type Footprint
   Table 91. AI in Digital Pathology Market: Company Product Application Footprint
   Table 92. AI in Digital Pathology New Market Entrants and Barriers to Market Entry
   Table 93. AI in Digital Pathology Mergers, Acquisition, Agreements, and Collaborations
   Table 94. Global AI in Digital Pathology Consumption Value (USD Million) by Type (2018-2023)
   Table 95. Global AI in Digital Pathology Consumption Value Share by Type (2018-2023)
   Table 96. Global AI in Digital Pathology Consumption Value Forecast by Type (2024-2029)
   Table 97. Global AI in Digital Pathology Consumption Value by Application (2018-2023)
   Table 98. Global AI in Digital Pathology Consumption Value Forecast by Application (2024-2029)
   Table 99. North America AI in Digital Pathology Consumption Value by Type (2018-2023) & (USD Million)
   Table 100. North America AI in Digital Pathology Consumption Value by Type (2024-2029) & (USD Million)
   Table 101. North America AI in Digital Pathology Consumption Value by Application (2018-2023) & (USD Million)
   Table 102. North America AI in Digital Pathology Consumption Value by Application (2024-2029) & (USD Million)
   Table 103. North America AI in Digital Pathology Consumption Value by Country (2018-2023) & (USD Million)
   Table 104. North America AI in Digital Pathology Consumption Value by Country (2024-2029) & (USD Million)
   Table 105. Europe AI in Digital Pathology Consumption Value by Type (2018-2023) & (USD Million)
   Table 106. Europe AI in Digital Pathology Consumption Value by Type (2024-2029) & (USD Million)
   Table 107. Europe AI in Digital Pathology Consumption Value by Application (2018-2023) & (USD Million)
   Table 108. Europe AI in Digital Pathology Consumption Value by Application (2024-2029) & (USD Million)
   Table 109. Europe AI in Digital Pathology Consumption Value by Country (2018-2023) & (USD Million)
   Table 110. Europe AI in Digital Pathology Consumption Value by Country (2024-2029) & (USD Million)
   Table 111. Asia-Pacific AI in Digital Pathology Consumption Value by Type (2018-2023) & (USD Million)
   Table 112. Asia-Pacific AI in Digital Pathology Consumption Value by Type (2024-2029) & (USD Million)
   Table 113. Asia-Pacific AI in Digital Pathology Consumption Value by Application (2018-2023) & (USD Million)
   Table 114. Asia-Pacific AI in Digital Pathology Consumption Value by Application (2024-2029) & (USD Million)
   Table 115. Asia-Pacific AI in Digital Pathology Consumption Value by Region (2018-2023) & (USD Million)
   Table 116. Asia-Pacific AI in Digital Pathology Consumption Value by Region (2024-2029) & (USD Million)
   Table 117. South America AI in Digital Pathology Consumption Value by Type (2018-2023) & (USD Million)
   Table 118. South America AI in Digital Pathology Consumption Value by Type (2024-2029) & (USD Million)
   Table 119. South America AI in Digital Pathology Consumption Value by Application (2018-2023) & (USD Million)
   Table 120. South America AI in Digital Pathology Consumption Value by Application (2024-2029) & (USD Million)
   Table 121. South America AI in Digital Pathology Consumption Value by Country (2018-2023) & (USD Million)
   Table 122. South America AI in Digital Pathology Consumption Value by Country (2024-2029) & (USD Million)
   Table 123. Middle East & Africa AI in Digital Pathology Consumption Value by Type (2018-2023) & (USD Million)
   Table 124. Middle East & Africa AI in Digital Pathology Consumption Value by Type (2024-2029) & (USD Million)
   Table 125. Middle East & Africa AI in Digital Pathology Consumption Value by Application (2018-2023) & (USD Million)
   Table 126. Middle East & Africa AI in Digital Pathology Consumption Value by Application (2024-2029) & (USD Million)
   Table 127. Middle East & Africa AI in Digital Pathology Consumption Value by Country (2018-2023) & (USD Million)
   Table 128. Middle East & Africa AI in Digital Pathology Consumption Value by Country (2024-2029) & (USD Million)
   Table 129. AI in Digital Pathology Raw Material
   Table 130. Key Suppliers of AI in Digital Pathology Raw Materials

List of Figures

   Figure 1. AI in Digital Pathology Picture
   Figure 2. Global AI in Digital Pathology Consumption Value by Type, (USD Million), 2018 & 2022 & 2029
   Figure 3. Global AI in Digital Pathology Consumption Value Market Share by Type in 2022
   Figure 4. Diagnosis Support
   Figure 5. Predictive Modeling
   Figure 6. Pattern Recognition
   Figure 7. Image Analysis and Detection
   Figure 8. Other
   Figure 9. Global AI in Digital Pathology Consumption Value by Type, (USD Million), 2018 & 2022 & 2029
   Figure 10. AI in Digital Pathology Consumption Value Market Share by Application in 2022
   Figure 11. Hospital Picture
   Figure 12. Diagnostic Centers Picture
   Figure 13. Laboratories & Research Institutes Picture
   Figure 14. Global AI in Digital Pathology Consumption Value, (USD Million): 2018 & 2022 & 2029
   Figure 15. Global AI in Digital Pathology Consumption Value and Forecast (2018-2029) & (USD Million)
   Figure 16. Global Market AI in Digital Pathology Consumption Value (USD Million) Comparison by Region (2018 & 2022 & 2029)
   Figure 17. Global AI in Digital Pathology Consumption Value Market Share by Region (2018-2029)
   Figure 18. Global AI in Digital Pathology Consumption Value Market Share by Region in 2022
   Figure 19. North America AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 20. Europe AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 21. Asia-Pacific AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 22. South America AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 23. Middle East and Africa AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 24. Global AI in Digital Pathology Revenue Share by Players in 2022
   Figure 25. AI in Digital Pathology Market Share by Company Type (Tier 1, Tier 2 and Tier 3) in 2022
   Figure 26. Global Top 3 Players AI in Digital Pathology Market Share in 2022
   Figure 27. Global Top 6 Players AI in Digital Pathology Market Share in 2022
   Figure 28. Global AI in Digital Pathology Consumption Value Share by Type (2018-2023)
   Figure 29. Global AI in Digital Pathology Market Share Forecast by Type (2024-2029)
   Figure 30. Global AI in Digital Pathology Consumption Value Share by Application (2018-2023)
   Figure 31. Global AI in Digital Pathology Market Share Forecast by Application (2024-2029)
   Figure 32. North America AI in Digital Pathology Consumption Value Market Share by Type (2018-2029)
   Figure 33. North America AI in Digital Pathology Consumption Value Market Share by Application (2018-2029)
   Figure 34. North America AI in Digital Pathology Consumption Value Market Share by Country (2018-2029)
   Figure 35. United States AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 36. Canada AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 37. Mexico AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 38. Europe AI in Digital Pathology Consumption Value Market Share by Type (2018-2029)
   Figure 39. Europe AI in Digital Pathology Consumption Value Market Share by Application (2018-2029)
   Figure 40. Europe AI in Digital Pathology Consumption Value Market Share by Country (2018-2029)
   Figure 41. Germany AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 42. France AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 43. United Kingdom AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 44. Russia AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 45. Italy AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 46. Asia-Pacific AI in Digital Pathology Consumption Value Market Share by Type (2018-2029)
   Figure 47. Asia-Pacific AI in Digital Pathology Consumption Value Market Share by Application (2018-2029)
   Figure 48. Asia-Pacific AI in Digital Pathology Consumption Value Market Share by Region (2018-2029)
   Figure 49. China AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 50. Japan AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 51. South Korea AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 52. India AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 53. Southeast Asia AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 54. Australia AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 55. South America AI in Digital Pathology Consumption Value Market Share by Type (2018-2029)
   Figure 56. South America AI in Digital Pathology Consumption Value Market Share by Application (2018-2029)
   Figure 57. South America AI in Digital Pathology Consumption Value Market Share by Country (2018-2029)
   Figure 58. Brazil AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 59. Argentina AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 60. Middle East and Africa AI in Digital Pathology Consumption Value Market Share by Type (2018-2029)
   Figure 61. Middle East and Africa AI in Digital Pathology Consumption Value Market Share by Application (2018-2029)
   Figure 62. Middle East and Africa AI in Digital Pathology Consumption Value Market Share by Country (2018-2029)
   Figure 63. Turkey AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 64. Saudi Arabia AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 65. UAE AI in Digital Pathology Consumption Value (2018-2029) & (USD Million)
   Figure 66. AI in Digital Pathology Market Drivers
   Figure 67. AI in Digital Pathology Market Restraints
   Figure 68. AI in Digital Pathology Market Trends
   Figure 69. Porters Five Forces Analysis
   Figure 70. Manufacturing Cost Structure Analysis of AI in Digital Pathology in 2022
   Figure 71. Manufacturing Process Analysis of AI in Digital Pathology
   Figure 72. AI in Digital Pathology Industrial Chain
   Figure 73. Methodology
   Figure 74. Research Process and Data Source