HEALTHCARE
Global Digital Pathology Market - Industry Trends and Forecast to 2032
REPORT OVERVIEW
Global Digital Pathology Market, By Product (Device, Software, and Storage Systems), Deployment Mode (On-Premises and Cloud-Based), Type (Human Pathology and Veterinary Pathology), Application (Drug Discovery, Disease Diagnosis, and Training and Education), End Use (Pharmaceutical and Biotechnology Companies, Hospitals and Reference Laboratories, and Academic and Research Institutes), Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032.
Market Insights
The global Digital Pathology market size is valued to be USD xx million in 2023 and is expected to reach USD xx million by 2032, and it is expected to register a CAGR of xx% over the forecast period 2024-2032.
The global Digital Pathology market is an evolving sector that involves the use of digital technologies to enhance the practice of pathology. Digital Pathology is the field within pathology that involves the digitization of pathological data and the use of digital technology for the analysis, storage, and sharing of pathology images. This approach transforms traditional glass slide-based pathology into a digital format, enabling various advanced functionalities that enhance the practice of pathology, including the digital acquisition, management, and analysis of pathology information and images.
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Market Dynamics
DRIVERS
- Growing emphasis on remote consultations and telepathology
- Rising incidence of chronic diseases and cancer
RESTRAINTS
- High initial costs
- Limited reimbursement and insurance coverage
OPPORTUNITIES
- Development of advanced imaging technologies
- Investment in workflow optimization
CHALLENGES
- Cybersecurity threats
- Quality control and validation
SEGMENTATION
- Product
- Device
- Scanners
- Brightfield Scanners
- Others
- Slide Management System
- Software
- Integrated Software
- Standalone Software
- Information Management Software
- Image Analysis Software
- Storage Systems
- Deployment Mode
- On-Premises
- Cloud-Based
- Type
- Human Pathology
- Veterinary Pathology
- Application
- Drug Discovery
- Disease Diagnosis
- Training and Education
- End Use
- Pharmaceutical and Biotechnology Companies
- Hospitals and Reference Laboratories
- Academic and Research Institutes
KEY MARKET PLAYERS
- Danaher Corporation
- Fujifilm Holdings Corporation
- Koninklijke Philips N.V.
- PathAI
- Kanteron Systems
- Sectra AB
- Corista
- Huron Digital Pahology
- Aiforia
- F. Hoffmann-La Roche Ltd.
Table OF CONTENTS
- SECTION 1 - INTRODUCTION
- 1.1 Taxonomy
- 1.2 Market Overview
- 1.3 Currency and Limitations
- 1.3.1 Currency
- 1.3.2 Limitations
- 1.4 Key Competitors
- SECTION 2 - RESEARCH METHODOLOGY
- 2.1 Research Approach
- 2.2 Data Collection and Validation
- 2.2.1 Secondary Research
- 2.2.2 Primary Research
- 2.3 Market Assessment
- 2.3.1 Market Size Estimation
- 2.3.2 Bottom-up Approach
- 2.3.3 Top-down Approach
- 2.3.4 Growth Forecast
- 2.4 Market Study Assumptions
- 2.5 Data Sources
- SECTION 3 - EXECUTIVE SUMMARY
- 3.1 Global Digital Pathology Market, by Product
- 3.2 Global Digital Pathology Market, by Deployment Mode
- 3.3 Global Digital Pathology Market, by Type
- 3.4 Global Digital Pathology Market, by Application
- 3.5 Global Digital Pathology Market, by End Use
- 3.6 Global Digital Pathology Market, by Geography
- 3.7 Market Position Grid
- SECTION 4 - PREMIUM INSIGHTS
- 4.1 Regulatory Framework
- 4.1.1 Standards
- 4.1.2 Regulatory Landscape
- 4.2 Value Chain Analysis
- 4.3 Supply Chain Analysis
- 4.4 COVID-19 Impact
- 4.5 Russia-Ukraine War Impact
- 4.6 PORTER's Five Force Analysis
- 4.7 PESTLE Analysis
- 4.8 SWOT Analysis
- 4.9 Go to Market Strategy
- 4.10 Opportunity Orbit
- 4.11 Multivariate Modelling
- 4.12 Pricing Analysis
- SECTION 5 - MARKET DYNAMICS
- 5.1 Trends
- 5.1.1 Virtual slide viewing
- 5.1.2 Personalized medicine
- 5.1.3 Trend 3
- 5.2 Drivers
- 5.2.1 Growing emphasis on remote consultations and telepathology
- 5.2.2 Rising incidence of chronic diseases and cancer
- 5.2.3 Driver 3
- 5.2.4 Driver 4
- 5.3 Restraints
- 5.3.1 High initial costs
- 5.3.2 Limited reimbursement and insurance coverage
- 5.3.3 Restraint 3
- 5.4 Opportunities
- 5.4.1 Development of advanced imaging technologies
- 5.4.2 Investment in workflow optimization
- 5.4.3 Opportunity 3
- 5.4.4 Opportunity 4
- 5.5 Challenges
- 5.5.1 Cybersecurity threats
- 5.5.2 Quality control and validation
- 5.5.3 Challenge 3
- SECTION 6 - GLOBAL DIGITAL PATHOLOGY MARKET, BY PRODUCT
- 6.1 Product Summary
- 6.2 Market Attractive Index
- 6.3 Global Digital Pathology Market, by Product (2019-2032)
- SECTION 7 - GLOBAL DIGITAL PATHOLOGY MARKET, BY DEPLOYMENT MODE
- 7.1 Deployment Mode Summary
- 7.2 Market Attractive Index
- 7.3 Global Digital Pathology Market, by Deployment Mode (2019-2032)
- SECTION 8 - GLOBAL DIGITAL PATHOLOGY MARKET, BY TYPE
- 8.1 Type Summary
- 8.2 Market Attractive Index
- 8.3 Global Digital Pathology Market, by Type (2019-2032)
- SECTION 9 - GLOBAL DIGITAL PATHOLOGY MARKET, BY APPLICATION
- 9.1 Application Summary
- 9.2 Market Attractive Index
- 9.3 Global Digital Pathology Market, by Application (2019-2032)
- SECTION 10 - GLOBAL DIGITAL PATHOLOGY MARKET, BY END USE
- 10.1 End Use Summary
- 10.2 Market Attractive Index
- 10.3 Global Digital Pathology Market, by End Use (2019-2032)
- SECTION 11 - GLOBAL DIGITAL PATHOLOGY MARKET, BY GEOGRAPHY
- 11.1 Regional Summary
- 11.2 Market Attractive Index
- 11.3 Global Digital Pathology Market, by Geography (2019-2032)
- SECTION 12 - NORTH AMERICA DIGITAL PATHOLOGY MARKET
- 12.1 North America Summary
- 12.2 Market Attractive Index
- 12.3 North America Digital Pathology Market, by Product (2019-2032)
- 12.4 North America Digital Pathology Market, by Deployment Mode (2019-2032)
- 12.5 North America Digital Pathology Market, by Type (2019-2032)
- 12.6 North America Digital Pathology Market, by Application (2019-2032)
- 12.7 North America Digital Pathology Market, by End Use (2019-2032)
- 12.8 North America Digital Pathology Market, by Country (2019-2032)
- 12.8.1 U.S.
- 12.8.2 Canada
- 12.8.3 Mexico
- 12.8.4 Rest of North America
- SECTION 13 - EUROPE DIGITAL PATHOLOGY MARKET
- 13.1 Europe Summary
- 13.2 Market Attractive Index
- 13.3 Europe Digital Pathology Market, by Product (2019-2032)
- 13.4 Europe Digital Pathology Market, by Deployment Mode (2019-2032)
- 13.5 Europe Digital Pathology Market, by Type (2019-2032)
- 13.6 Europe Digital Pathology Market, by Application (2019-2032)
- 13.7 Europe Digital Pathology Market, by End Use (2019-2032)
- 13.8 Europe Digital Pathology Market, by Country (2019-2032)
- 13.8.1 Germany
- 13.8.2 U.K.
- 13.8.3 France
- 13.8.4 Italy
- 13.8.5 Spain
- 13.8.6 Russia
- 13.8.7 The Netherlands
- 13.8.8 Belgium
- 13.8.9 Turkey
- 13.8.10 Rest of Europe
- SECTION 14 - ASIA-PACIFIC DIGITAL PATHOLOGY MARKET
- 14.1 Asia-Pacific Summary
- 14.2 Market Attractive Index
- 14.3 Asia-Pacific Digital Pathology Market, by Product (2019-2032)
- 14.4 Asia-Pacific Digital Pathology Market, by Deployment Mode (2019-2032)
- 14.5 Asia-Pacific Digital Pathology Market, by Type (2019-2032)
- 14.6 Asia-Pacific Digital Pathology Market, by Application (2019-2032)
- 14.7 Asia-Pacific Digital Pathology Market, by End Use (2019-2032)
- 14.8 Asia-Pacific Digital Pathology Market, by Country (2019-2032)
- 14.8.1 China
- 14.8.2 India
- 14.8.3 Japan
- 14.8.4 South Korea
- 14.8.5 Singapore
- 14.8.6 Malaysia
- 14.8.7 Australia
- 14.8.8 Thailand
- 14.8.9 Philippines
- 14.8.10 Rest of Asia-Pacific
- SECTION 15 - SOUTH AMERICA DIGITAL PATHOLOGY MARKET
- 15.1 South America Summary
- 15.2 Market Attractive Index
- 15.3 South America Digital Pathology Market, by Product (2019-2032)
- 15.4 South America Digital Pathology Market, by Deployment Mode (2019-2032)
- 15.5 South America Digital Pathology Market, by Type (2019-2032)
- 15.6 South America Digital Pathology Market, by Application (2019-2032)
- 15.7 South America Digital Pathology Market, by End Use (2019-2032)
- 15.8 South America Digital Pathology Market, by Country (2019-2032)
- 15.8.1 Brazil
- 15.8.2 Argentina
- 15.8.3 Chile
- 15.8.4 Colombia
- 15.8.5 Rest of South America
- SECTION 16 - MIDDLE EAST AND AFRICA DIGITAL PATHOLOGY MARKET
- 16.1 Middle East and Africa Summary
- 16.2 Market Attractive Index
- 16.3 Middle East and Africa Digital Pathology Market, by Product (2019-2032)
- 16.4 Middle East and Africa Digital Pathology Market, by Deployment Mode (2019-2032)
- 16.5 Middle East and Africa Digital Pathology Market, by Type (2019-2032)
- 16.6 Middle East and Africa Digital Pathology Market, by Application (2019-2032)
- 16.7 Middle East and Africa Digital Pathology Market, by End Use (2019-2032)
- 16.8 Middle East and Africa Digital Pathology Market, by Country (2019-2032)
- 16.8.1 Kingdom of Saudi Arabia
- 16.8.2 South Africa
- 16.8.3 U.A.E.
- 16.8.4 Egypt
- 16.8.5 Rest of Middle East and Africa
- SECTION 17 - COMPANY SHARE ANALYSIS
- 17.1 Global Digital Pathology Market, Company Share Analysis
- 17.2 North America Digital Pathology Market, Company Share Analysis
- 17.3 Europe Digital Pathology Market, Company Share Analysis
- 17.4 Asia-Pacific Digital Pathology Market, Company Share Analysis
- SECTION 18 - COMPANY PROFILES
- 18.1 Danaher Corporation
- 18.1.1 Company Snapshot
- 18.1.2 Financial Overview
- 18.1.3 Product Portfolio
- 18.1.4 Recent Developments
- 18.2 Fujifilm Holdings Corporation
- 18.2.1 Company Snapshot
- 18.2.2 Financial Overview
- 18.2.3 Product Portfolio
- 18.2.4 Recent Developments
- 18.3 Koninklijke Philips N.V.
- 18.3.1 Company Snapshot
- 18.3.2 Financial Overview
- 18.3.3 Product Portfolio
- 18.3.4 Recent Developments
- 18.4 PathAI
- 18.4.1 Company Snapshot
- 18.4.2 Financial Overview
- 18.4.3 Product Portfolio
- 18.4.4 Recent Developments
- 18.5 Kanteron Systems
- 18.5.1 Company Snapshot
- 18.5.2 Financial Overview
- 18.5.3 Product Portfolio
- 18.5.4 Recent Developments
- 18.6 Sectra AB
- 18.6.1 Company Snapshot
- 18.6.2 Financial Overview
- 18.6.3 Product Portfolio
- 18.6.4 Recent Developments
- 18.7 Corista
- 18.7.1 Company Snapshot
- 18.7.2 Financial Overview
- 18.7.3 Product Portfolio
- 18.7.4 Recent Developments
- 18.8 Huron Digital Pahology
- 18.8.1 Company Snapshot
- 18.8.2 Financial Overview
- 18.8.3 Product Portfolio
- 18.8.4 Recent Developments
- 18.9 Aiforia
- 18.9.1 Company Snapshot
- 18.9.2 Financial Overview
- 18.9.3 Product Portfolio
- 18.9.4 Recent Developments
- 18.10 F. Hoffmann-La Roche Ltd.
- 18.10.1 Company Snapshot
- 18.10.2 Financial Overview
- 18.10.3 Product Portfolio
- 18.10.4 Recent Developments
- SECTION 19 - RELATED REPORTS
- SECTION 20 - DISCLAIMER
RESEARCH METHODOLOGY
The research methodology employed in Uniprism Market Research involves four basic steps namely research and data collection, data pre-processing, modeling and forecasting, quality assurance and output.
RESEARCH AND DATA COLLECTION
A tripod model research technique is followed for research and data collection in which various approaches such as primary research, secondary research, and product mapping are considered.
Primary research basically involves the process of conducting personalized interviews with market related professionals of major market players, investors, distributors, vendors and many more.
The secondary research include data published by government, annual reports, press releases, investor presentations of companies, white papers, certified publications, annual manufacturing limit of the respective industries related to the market, production consumption analysis of certain products respective to the market and many more.
Below mention are few of the sources which we have considered while estimating the market size:
For instance,
- Research articles published on Technium
- Science and MDPI
- Research publications by government approved associations and societies
Product mapping means the process of mapping the list of products that a key player contributes to the market as well as estimating the revenue of those products in order to define the Global Company share analysis of the respective Global Company in global, regional, and country level markets.
DATA PRE-PROCESSING
The term "data pre-processing" refers to the collection of procedures and methods used to clean, modify, and make ready for analysis the raw data gathered during research and data collection. The completion of this phase is necessary to guarantee that the data are reliable, consistent, and appropriate for statistical analysis and other data-driven tasks. The data pre-processing ensures that the information gathered from research and data collection is comparable and expressed in standard units, by the integration of missing data pointers and algorithmic approaches.
MODELING AND FORECASTING
The process of developing mathematical, statistical, or computational representations of real-world occurrences or relationships is known as modelling. These models are intended to replicate and explain market interactions, interdependence, and dynamics. These models are used by Uniprism Market Research to acquire a better knowledge of numerous market characteristics such as customer preferences, pricing elasticity, competition dynamics, and more. Depending on the individual study aims, many types of models are utilized, such as regression models, econometric models, decision tree models, and machine learning models.
Forecasting is the process of predicting future market conditions, trends, and occurrences using past data and models. Forecasting is used by Uniprism Market Research to estimate future sales, demand for products or services, market growth, and other important performance metrics. Forecasting accurately can assist organizations in making educated decisions about resource allocation, pricing, inventory management, and marketing tactics.
We create standardized bottom-up or top-down models that scale by leveraging data science and machine learning technology. All our market models consider the unique market characteristics of each country. Forecasting is based on major market indicators and a combination of traditional methodologies, such as exponential smoothing, time series analysis, regression analysis, and more modern techniques such as machine learning algorithms are all forecasting methodologies. The method chosen is determined on the nature of the data and the specific forecasting aims.
QUALITY ASSURANCE AND OUTPUT
Quality assurance and output involves the process of validation, adjustments, further publications of key market indicators. Extensive plausibility and consistency tests are performed on derived time series to ensure the high degree of quality of our market analysis. This quality assurance procedure also includes rigorous inspection, validation, and editing by an experienced management team to assure the dependability of the published data.