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Disruptive technologies like AI-based image analysis algorithms are boosting diagnostics and drug development research
06-May-2024
Global
Technology Research
DAE5-01-00-00-00
HC_2024_701
The digital pathology industry is witnessing steadily increasing competitive intensity, with the entry of several start-ups putting market players under pressure to create unique, disruptive products. While digital pathology includes slide digitalization, image analysis algorithms, and image storage and management solutions, this report focuses on slide digitization technologies and image analysis algorithms, which have the highest innovation index. The current generation of digital pathology uses whole-tissue slide digitalization and intelligent image analysis to address the challenges of conventional histopathology practices. Whole slide scanning systems eliminate the risk of slide damage as well as the need for time-consuming slide transportation to the pathologist and storage involving physical space. Advanced AI-based image analysis algorithms address the limited image characterization capabilities of conventional computational pathology. The scarcity of pathologists and the limited analytical capabilities of conventional histopathology also drive the adoption of digital pathology solutions. The study charts the evolution of digital pathology technology and identifies its applications in research and diagnostic pathology. It also examines the impact of these developments on the needs of the industry.
Key Questions Addressed by This Study:
1. What is digital pathology, and what are the industry needs for the technology? What are the applications?
2. What are the factors driving and restraining the growth of the digital pathology industry? What are the regional trends?
3. What are the technology segments under digital pathology? Who are the participants in the slide digitalization and image analysis algorithms segments? What are the technologies employed, features of the solutions, target applications, and commercial readiness levels?
4. Who are the key adopters of the technology, and what has been the impact of the adoption?
5. What is the enterprise pathology solution, and who are the providers?
6. What are the funding, mergers and acquisitions (M&A), and patent filing trends in the industry?
7. What are the growth opportunities emerging from the changes in the digital pathology industry for market players and stakeholders to leverage?
Why Is It Increasingly Difficult to Grow?
The Strategic Imperative 8™
The Impact of the Top 3 Strategic Imperatives on the Digital Pathology Industry
Scope of Analysis
Technologies Enabling Digital Pathology—Segmentation
Research Methodology
Growth Drivers
Growth Restraints
Challenges in Conventional Histopathology
Digital Pathology and its Evolution
Digital Pathology—Advantages and Applications
Industry Needs and Impact of Digital Pathology in Research
Industry Needs and Impact of Digital Pathology in Clinical Pathology
Slide Digitization Systems—Overview
Whole Slide Scanning/Imaging—Technology Overview
Advances in Whole Slide Scanning and their Impact on Digital Pathology
Key Players Developing Slide Digitization Technologies
Key Players Developing Slide Digitization Technologies (continued)
Key Players Developing Slide Digitization Technologies (continued)
Comparison of Slide Scanning Capabilities Offered by Industry Players
Comparison of Slide Scanning Capabilities Offered by Industry Players (continued)
Image Analysis Algorithms—Technology Overview
Advances in Image Analysis Solutions and their Impact on Digital Pathology
Key Players Developing Image Analysis Algorithms
Key Players Developing Image Analysis Algorithms (continued)
Key Players Developing Image Analysis Algorithms (continued)
Comparison of Image Analysis Algorithms Offered by Industry Players
Comparison of Image Analysis Algorithms Offered by Industry Players (continued)
Enterprise Pathology Platforms for Streamlined Workflows
Key Players Providing Enterprise Pathology Platforms
Regional Trends in Digital Pathology Adoption
Key Adopters of Digital Pathology and its Impact on the Company
Notable Recent Partnerships and Collaborations Enabling Comprehensive Digital Pathology Platforms, 2021–2024
M&As Enabling Advancements in Product Portfolio of Key Players, 2021–2024
Public Funding Prioritizing R&D on Image Analysis Algorithms, 2022–2024
Key Private Funding Activities Focusing on Technology Advancements and Commercial Expansion, 2022–2024
Key Private Funding Activities Focusing on Technology Advancements and Commercial Expansion, 2022–2024 (continued)
IP Trends Indicate Larger Focus on Image Analysis Algorithms, 2020–2024
The United States Dominates the Patent Landscape in Digital Pathology, 2020–2024
Digital Pathology—Strategic Insights
Technology Roadmap of Digital Pathology
Growth Opportunity 1: Advancements in Diagnostic, Predictive, and Workflow AI Algorithms
Growth Opportunity 1: Advancements in Diagnostic, Predictive, and Workflow AI Algorithms (continued)
Growth Opportunity 2: Cloud Computing and 5G
Growth Opportunity 2: Cloud Computing and 5G (continued)
Growth Opportunity 3: Emergence of Integrated Diagnostics
Growth Opportunity 3: Emergence of Integrated Diagnostics (continued)
Technology Readiness Levels (TRL): Explanation
Best Practices Recognition
Frost Radar
Benefits and Impacts of Growth Opportunities
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| Deliverable Type | Technology Research |
|---|---|
| Author | Sneha Maria Mariawilliam |
| Industries | Healthcare |
| No Index | No |
| Is Prebook | No |
| Keyword 1 | Digital Pathology Market |
| Keyword 2 | Technology Innovations Pathology |
| Keyword 3 | Market Trends Pathology |
| Podcast | No |
| WIP Number | DAE5-01-00-00-00 |
Digital Pathology Technology Innovations and Growth Opportunities
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