Digital Pathology Market Size, Share & Trends Analysis Report By Application (Academic Research, Disease Diagnosis), By Product (Software, Device), By Type, By End-use (Diagnostic Labs, Hospitals), By Region, And Segment Forecasts, 2024 - 2030
Digital Pathology Market Growth & Trends
The global digital pathology market size is expected to reach USD 1.73 billion by 2030, registering a CAGR of 8.0% from 2024 to 2030, according to a new report by Grand View Research, Inc. The market is anticipated to witness exponential growth owing to rising prevalence of chronic diseases aided by increasing demand for accurate diagnostics. Chronic diseases affect nearly one in every three adults. Whereas, according to the CDC, in the U.S., approximately, 51.8% of adults have at least one chronic disease. Digital pathology, including molecular tissue profiling, biobanking, tissue microarray analysis, and molecular biology, plays an important role in the drug development pipeline and companion diagnostics. Growing demand for high-quality tissue samples in tissue-based biomarker research is expected to drive technology adoption over the forecast period.
Increasing adoption of telepathology with the launch of newer versions of the technology, such as in June 2022, Tribun Health launched TeleSlide Patho 5, an online telepathology platform used for providing clinical and timely expertise to patients. Moreover, the market is expected to see intense competition in the near future as companies adopt more stringent strategies to compete. Moreover, technological advancements, such as the digitization of pathology lab makes the specialty more efficient, the specimen more reproducible, and pathologists' work easier. In past few years, several breakthrough advancements have provided a significant boost to market growth.
For instance, in September 2021, Paige received FDA approval for Paige Prostate, an AI solution for the detection of prostate cancer. The product is the first AI-enabled pathology product to gain marketing authorization. This was further followed by the collaboration of F. Hoffmann-La Roche Ltd. with Ibex in October 2021 for the development of artificial intelligence-based pathology applications for the improvement of patient care. Furthermore, major players are adopting strategies like collaborations and partnerships with a focus on technological advancements, such as robotic light microscopy, digital imaging, multiple fiber optic communications, and computerization, to enhance the adoption of digital pathology.
For instance, in December 2022, Deciphex launched Patholytix 3.0, a Digital Research Pathology Platform with an aim to revolutionize tools available for research pathologists and designed to overcome the limits of LIMS software that allows users to effectively manage associated data and samples. Furthermore, with the launch, the company also highlighted features of the new platform that impact workflow and offer simpler and more expedient report creation.
Digital Pathology Market Report Highlights
- Based on product, The device segment held the largest share of 51.72% in 2023 and is anticipated to grow at a lucrative growth rate during the projected period. The device segment includes a slide management system and scanner. The segment growth is attributed to the increasing adoption of digital pathology in academic research activities with enhanced resolution
- Based on application, Disease diagnosis is anticipated to witness the fastest growth rate from 2024 to 2030 due to an increasing prevalence of chronic diseases and demand for noble diagnosis techniques
- In terms of end-use, The hospitals segment dominated the market in 2023 with a share of 36.7% due to the growing incorporation of digital pathologies in healthcare settings for efficient disease diagnosis
- North America dominated overall market in 2023 with a share of 40.7%, due to the presence of well-established digital infrastructure and several technological advancements pertaining to the incorporation of technology in healthcare settings
- Chapter 1. Digital Pathology Market: Methodology and Scope
- 1.1. Market Segmentation and Scope
- 1.2. Research Methodology
- 1.3. Information Procurement
- 1.3.1. Purchased Database:
- 1.3.2. GVR’s Internal Database
- 1.3.3. Secondary Sources
- 1.3.4. Primary Research:
- 1.3.5. Details Of Primary Research
- 1.3.5.1. Data for primary interviews in North America
- 1.3.5.2. Data for Primary Interviews in Europe
- 1.3.5.3. Data for Primary Interviews in APAC
- 1.3.5.4. Data for Primary Interviews in Latin America
- 1.3.5.5. Data for Primary Interviews in MEA
- 1.4. Information Analysis
- 1.4.1. Data Analysis Models
- 1.5. Market Formulation & Validation
- 1.6. Model Details
- 1.6.1. Commodity Flow Analysis
- 1.6.2. Top down market estimation
- 1.6.3. CAGR Calculation
- 1.6.4. Key Report Updates
- 1.7. List of Secondary Sources
- 1.8. List of Abbreviations
- 1.9. Report Objectives
- 1.9.1. Objective - 1
- 1.9.2. Objective - 2
- Chapter 2. Digital Pathology Market: Executive Summary
- 2.1. Market Snapshot
- 2.2. Segmental Snapshot
- 2.3. Competitive Insights Snapshot
- Chapter 3. Digital Pathology Market: Variables, Trends, and Scope
- 3.1. Market Lineage Outlook
- 3.1.1. Parent Market Analysis
- 3.1.2. Ancillary Market Analysis
- 3.2. Digital Pathology Market- Market Dynamics
- 3.2.1. Market Driver Analysis
- 3.2.1.1. Increasing Prevalence Of Chronic Diseases
- 3.2.1.2. Rapid Technological Advancement
- 3.2.1.2.1. AI integration
- 3.2.2. Market Restraint Analysis
- 3.2.2.1. Lack Of Reimbursement For Digital Pathology-Enabled Services
- 3.2.2.2. Lack of Skilled Professionals
- 3.2.3. Industry Challenges
- 3.3. Digital Pathology Market Analysis Tools: Porters
- 3.4. PESTLE Analysis
- 3.5. Technology Trend Analysis
- 3.6. Regulatory Framework
- 3.7. Cost Structure Analysis
- 3.8. User Perspective Analysis
- 3.9. Case Studies
- 3.10. COVID 19 Impact
- Chapter 4. Digital Pathology Market: Product Type Estimates & Trend Analysis
- 4.1. Digital Pathology Market, Product Type: Key Takeaways
- 4.2. Digital Pathology Market: Product Type Movement & Market Share Analysis, 2022 & 2030
- 4.3. Software
- 4.3.1. Software Market Estimates And Forecasts, 2018 - 2030 (USD Billion)
- 4.3.2. Integrated Software
- 4.3.2.1. Integrated Software Market Estimates And Forecasts, 2018 - 2030 (USD Billion)
- 4.3.3. Standalone Software
- 4.3.3.1. Standalone Software Market Estimates And Forecasts, 2018 - 2030 (USD Billion)
- 4.4. Devices
- 4.4.1. Devices Market Estimates And Forecasts, 2018 - 2030 (USD Billion)
- 4.4.2. Scanners
- 4.4.2.1. Scanners market estimates and forecast, 2018 - 2030 (USD Million)
- 4.4.2.2. Brightfield Scanners
- 4.4.2.2.1. Brightfield Scanners market estimates and forecast, 2018 - 2030 (USD Million)
- 4.4.2.3. Fluroscence Scanners
- 4.4.2.3.1. Fluroscence Scanners market estimates and forecast, 2018 - 2030 (USD Million)
- 4.4.2.4. Others
- 4.4.2.4.1. Others Scanner market estimates and forecast, 2018 - 2030 (USD Million)
- 4.4.3. Slide Management System
- 4.4.3.1. Slide management system market estimates and forecast, 2018 - 2030 (USD Million)
- 4.5. Storage Systems
- 4.5.1. Storage Systems Market Estimates And Forecasts, 2018 - 2030 (USD Billion)
- Chapter 5. Digital Pathology Market: Type Estimates & Trend Analysis
- 5.1. Digital Pathology Market, by Type: Key Takeaways
- 5.2. Digital Pathology Market: Type Movement & Market Share Analysis, 2022 & 2030
- 5.3. Veterinary Pathology
- 5.3.1. Veterinary Pathology Market Estimates And Forecasts, 2018 - 2030 (USD Billion)
- 5.4. Human Pathology
- 5.4.1. Human Pathology Market Estimates And Forecasts, 2018 - 2030 (USD Billion)
- Chapter 6. Application Estimates & Trend Analysis
- 6.1. Digital Pathology Market, Application Type: Key Takeaways
- 6.2. Digital Pathology Market: Application Movement & Market Share Analysis, 2022 & 2030
- 6.3. Drug Discovery & Development
- 6.3.1. Drug Discovery & Development Market Estimates And Forecasts, 2018 - 2030 (USD Billion)
- 6.4. Academic Research
- 6.4.1. Academic Research Market Estimates And Forecasts, 2018 - 2030 (USD Billion)
- 6.5. Disease Diagnosis
- 6.5.1. Disease Diagnosis Market Estimates And Forecasts, 2018 - 2030 (USD Billion)
- 6.5.2. Cancer Cell Detection
- 6.5.2.1. Cancer Cell Detection Market Estimates And Forecasts, 2018 - 2030 (USD Billion)
- 6.5.3. Others
- 6.5.3.1. Others Market Estimates And Forecasts, 2018 - 2030 (USD Billion)
- Chapter 7. Digital Pathology Market: End Use Estimates & Trend Analysis
- 7.1. Digital Pathology Market, By End Use: Key Takeaways
- 7.2. Digital Pathology Market: End Use Movement & Market Share Analysis, 2022 & 2030
- 7.3. Hospitals
- 7.3.1. Hospitals Market Estimates And Forecasts, 2018 - 2030 (USD Million)
- 7.4. Biotech & Pharma Companies
- 7.4.1. Biotech & Pharma Companies Market Estimates And Forecasts, 2018 - 2030 (USD Million)
- 7.5. Diagnostics Labs
- 7.5.1. Diagnostics Labs Market Estimates And Forecasts, 2018 - 2030 (USD Million)
- 7.6. Academic & Research Institutes
- 7.6.1. Academic & Research Institutes Market Estimates And Forecasts, 2018 - 2030 (USD Million)
- Chapter 8. Digital Pathology Market: Country Estimates & Trend Analysis
- 8.1 Digital Pathology Market: Regional Movement Analysis, 2022 & 2030
- 8.1.1 North America
- 8.1.1.1 North America Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.1.2 U.S.
- 8.1.1.2.1 Key Country Dynamics
- 8.1.1.2.2 Competitive Scenario
- 8.1.1.2.3 Regulatory Framework
- 8.1.1.2.4 Reimbursement Scenario
- 8.1.1.2.5 U.S. Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.1.3 Canada
- 8.1.1.3.1 Key Country Dynamics
- 8.1.1.3.2 Competitive Scenario
- 8.1.1.3.3 Regulatory Framework
- 8.1.1.3.4 Reimbursement Scenario
- 8.1.1.3.5 Canada Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.2 Europe
- 8.1.2.1 Europe Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.2.2 UK
- 8.1.2.2.1 Key Country Dynamics
- 8.1.2.2.2 Competitive Scenario
- 8.1.2.2.3 Regulatory Framework
- 8.1.2.2.4 Reimbursement Scenario
- 8.1.2.2.5 UK Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.2.3 Germany
- 8.1.2.3.1 Key Country Dynamics
- 8.1.2.3.2 Competitive Scenario
- 8.1.2.3.3 Regulatory Framework
- 8.1.2.3.4 Reimbursement Scenario
- 8.1.2.3.5 Germany Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.2.4 France
- 8.1.2.4.1 Key Country Dynamics
- 8.1.2.4.2 Competitive Scenario
- 8.1.2.4.3 Regulatory Framework
- 8.1.2.4.4 Reimbursement Scenario
- 8.1.2.4.5 France Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.2.5 Italy
- 8.1.2.5.1 Key Country Dynamics
- 8.1.2.5.2 Competitive Scenario
- 8.1.2.5.3 Regulatory Framework
- 8.1.2.5.4 Reimbursement Scenario
- 8.1.2.5.5 Italy Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.2.6 Spain
- 8.1.2.6.1 Key Country Dynamics
- 8.1.2.6.2 Competitive Scenario
- 8.1.2.6.3 Regulatory Framework
- 8.1.2.6.4 Reimbursement Scenario
- 8.1.2.6.5 Spain Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.2.7 Denmark
- 8.1.2.7.1 Key Country Dynamics
- 8.1.2.7.2 Competitive Scenario
- 8.1.2.7.3 Regulatory Framework
- 8.1.2.7.4 Reimbursement Scenario
- 8.1.2.7.5 Denmark Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.2.8 Sweden
- 8.1.2.8.1 Key Country Dynamics
- 8.1.2.8.2 Competitive Scenario
- 8.1.2.8.3 Regulatory Framework
- 8.1.2.8.4 Reimbursement Scenario
- 8.1.2.8.5 Sweden Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.2.9 Norway
- 8.1.2.9.1 Key Country Dynamics
- 8.1.2.9.2 Competitive Scenario
- 8.1.2.9.3 Regulatory Framework
- 8.1.2.9.4 Reimbursement Scenario
- 8.1.2.9.5 Norway Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.3 Asia Pacific
- 8.1.3.1 Asia Pacific Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.3.2 Japan
- 8.1.3.2.1 Key Country Dynamics
- 8.1.3.2.2 Competitive Scenario
- 8.1.3.2.3 Regulatory Framework
- 8.1.3.2.4 Reimbursement Scenario
- 8.1.3.2.5 Japan Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.3.3 India
- 8.1.3.3.1 Key Country Dynamics
- 8.1.3.3.2 Competitive Scenario
- 8.1.3.3.3 Regulatory Framework
- 8.1.3.3.4 Reimbursement Scenario
- 8.1.3.3.5 India Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.3.4 China
- 8.1.3.4.1 Key Country Dynamics
- 8.1.3.4.2 Competitive Scenario
- 8.1.3.4.3 Regulatory Framework
- 8.1.3.4.4 Reimbursement Scenario
- 8.1.3.4.5 China Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.3.5 Australia
- 8.1.3.5.1 Key Country Dynamics
- 8.1.3.5.2 8. 6. 3.5competitive Scenario
- 8.1.3.5.3 Regulatory Framework
- 8.1.3.5.4 Reimbursement Scenario
- 8.1.3.5.5 Australia Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.3.6 Thailand
- 8.1.3.6.1 Key Country Dynamics
- 8.1.3.6.2 Competitive Scenario
- 8.1.3.6.3 Regulatory Framework
- 8.1.3.6.4 Reimbursement Scenario
- 8.1.3.6.5 Thailand Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.3.7 South Korea
- 8.1.3.7.1 Key Country Dynamics
- 8.1.3.7.2 Competitive Scenario
- 8.1.3.7.3 Regulatory Framework
- 8.1.3.7.4 Reimbursement Scenario
- 8.1.3.7.5 South Korea Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.4 Latin America
- 8.1.4.1 Latin America Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.4.2 Brazil
- 8.1.4.2.1 Key Country Dynamics
- 8.1.4.2.2 Competitive Scenario
- 8.1.4.2.3 Regulatory Framework
- 8.1.4.2.4 Reimbursement Scenario
- 8.1.4.2.5 Brazil Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.4.3 Mexico
- 8.1.4.3.1 Key Country Dynamics
- 8.1.4.3.2 Competitive Scenario
- 8.1.4.3.3 Regulatory Framework
- 8.1.4.3.4 Reimbursement Scenario
- 8.1.4.3.5 Mexico Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.4.4 Argentina
- 8.1.4.4.1 Key Country Dynamics
- 8.1.4.4.2 Competitive Scenario
- 8.1.4.4.3 Regulatory Framework
- 8.1.4.4.4 Reimbursement Scenario
- 8.1.4.4.5 Argentina Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.5 MEA
- 8.1.5.1 MEA Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.5.2 South Africa
- 8.1.5.2.1 Key Country Dynamics
- 8.1.5.2.2 Competitive Scenario
- 8.1.5.2.3 Regulatory Framework
- 8.1.5.2.4 Reimbursement Scenario
- 8.1.5.2.5 South Africa Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.5.3 Saudi Arabia
- 8.1.5.3.1 Key Country Dynamics
- 8.1.5.3.2 Competitive Scenario
- 8.1.5.3.3 Regulatory Framework
- 8.1.5.3.4 Reimbursement Scenario
- 8.1.5.3.5 Saudi Arabia Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.5.4 UAE
- 8.1.5.4.1 Key Country Dynamics
- 8.1.5.4.2 Competitive Scenario
- 8.1.5.4.3 Regulatory Framework
- 8.1.5.4.4 Reimbursement Scenario
- 8.1.5.4.5 UAE Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- 8.1.5.5 Kuwait
- 8.1.5.5.1 Key Country Dynamics
- 8.1.5.5.2 Competitive Scenario
- 8.1.5.5.3 Regulatory Framework
- 8.1.5.5.4 Reimbursement Scenario
- 8.1.5.5.5 Kuwait Digital Pathology Market Estimates And Forecast, 2018 - 2030 (USD Million)
- Chapter 9. Competitive Landscape
- 9.1. Company Categorization
- 9.2. Competitive Market Entry Strategies
- 9.3. Private Companies/ Vendors, By Country/Region
- 9.4. Company Market Share Analysis, 2023
- 9.5. Strategy Mapping
- 9.6. Company Profiles/Listing
- 9.6.1. Leica Biosystems Nussloch GmbH (Danaher)
- 9.6.1.1. Overview
- 9.6.1.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
- 9.6.1.3. Product Benchmarking
- 9.6.1.4. Strategic Initiatives
- 9.6.2. Hamamatsu Photonics, Inc
- 9.6.2.1. Overview
- 9.6.2.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
- 9.6.2.3. Product Benchmarking
- 9.6.2.4. Strategic Initiatives
- 9.6.3. Koninklijke Philips N.V.
- 9.6.3.1. Overview
- 9.6.3.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
- 9.6.3.3. Product Benchmarking
- 9.6.3.4. Strategic Initiatives
- 9.6.4. Olympus Corporation
- 9.6.4.1. Overview
- 9.6.4.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
- 9.6.4.3. Product Benchmarking
- 9.6.4.4. Strategic Initiatives
- 9.6.5. F. Hoffmann-La Roche Ltd
- 9.6.5.1. Overview
- 9.6.5.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
- 9.6.5.3. Product Benchmarking
- 9.6.5.4. Strategic Initiatives
- 9.6.6. Mikroscan Technologies, Inc
- 9.6.6.1. Overview
- 9.6.6.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
- 9.6.6.3. Product Benchmarking
- 9.6.6.4. Strategic Initiatives
- 9.6.7. Inspirata, Inc.
- 9.6.7.1. Overview
- 9.6.7.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
- 9.6.7.3. Product Benchmarking
- 9.6.7.4. Strategic Initiatives
- 9.6.8. Epredia (3DHISTECH Ltd.)
- 9.6.8.1. Overview
- 9.6.8.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
- 9.6.8.3. Product Benchmarking
- 9.6.8.4. Strategic Initiatives
- 9.6.9. Visiopharm A/S
- 9.6.9.1. Overview
- 9.6.9.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
- 9.6.9.3. Product Benchmarking
- 9.6.9.4. Strategic Initiatives
- 9.6.10. Huron Technologies International Inc.
- 9.6.10.1. Overview
- 9.6.10.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
- 9.6.10.3. Product Benchmarking
- 9.6.10.4. Strategic Initiatives
- 9.6.11. ContextVision AB
- 9.6.11.1. Overview
- 9.6.11.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
- 9.6.11.3. Product Benchmarking
- 9.6.11.4. Strategic Initiatives
- 9.6.12. CellaVision
- 9.6.12.1. Overview
- 9.6.12.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
- 9.6.12.3. Product Benchmarking
- 9.6.12.4. Strategic Initiatives
- 9.6.13. Hangzhou Zhiwei Information Technology Co. Ltd. (Morphogo)
- 9.6.13.1. Overview
- 9.6.13.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
- 9.6.13.3. Product Benchmarking
- 9.6.13.4. Strategic Initiatives
- 9.6.14. West Medica Produktions- und Handels- GmbH (West Medica)
- 9.6.14.1. Overview
- 9.6.14.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
- 9.6.14.3. Product Benchmarking
- 9.6.14.4. Strategic Initiatives
- 9.6.15. aetherAI
- 9.6.15.1. Overview
- 9.6.15.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
- 9.6.15.3. Product Benchmarking
- 9.6.15.4. Strategic Initiatives
- 9.6.16. Ibex (Ibex Medical Analytics)
- 9.6.16.1. Overview
- 9.6.16.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
- 9.6.16.3. Product Benchmarking
- 9.6.16.4. Strategic Initiatives
- 9.6.17. SigTuple Technologies Private Limited
- 9.6.17.1. Overview
- 9.6.17.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
- 9.6.17.3. Product Benchmarking
- 9.6.17.4. Strategic Initiatives
- 9.6.18. Morphle Labs, Inc
- 9.6.18.1. Overview
- 9.6.18.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
- 9.6.18.3. Product Benchmarking
- 9.6.18.4. Strategic Initiatives
- 9.6.19. Bionovation Biotech, Inc
- 9.6.19.1. Overview
- 9.6.19.2. Financial Performance (Net Revenue/Sales/EBITDA/Gross Profit)
- 9.6.19.3. Product Benchmarking
- 9.6.19.4. Strategic Initiatives
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