Global Digital Pathology/AI Pathology Market Research Report 2022-2035 Showcasing Profiles of PathAI, Paige, Akoya Biosciences, PROSCIA, Visiopharm, Roche, Aiforia, Indica Labs, & Ibex

DublinAnd January 21, 2023 /PRNewswire/ – File “Digital Pathology/AI-Primarily based Pathology Market Distribution by Neural Community Sort, Examination Sort, Finish Person Sort, Software Area, Goal Illness Indicator Sort, and Key Geography, 2022-2035” The report has been added to a proposal.

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The “Digital Pathology/Synthetic Intelligence Pathology Market” report options an in depth examine of the present market panorama and future potential of the AI-based Digital Pathology market. The examine options an in-depth evaluation, which highlights the capabilities of the varied stakeholders concerned in offering AI-based digital pathology.

Amidst the ever-increasing demand for pathology providers, the concurrent use of technological advances to automate and digitize healthcare procedures is rising. These advances have accelerated analysis and scientific analysis, in addition to improved affected person outcomes, lately.

Particularly, AI-assisted digital imaging is one such expertise, which is revolutionizing the pathology business by enabling high-throughput scanning of affected person samples. To supply extra context, AI-driven digital pathology/AI pathology includes amassing, managing, analyzing, and sharing (by way of digital slides) knowledge in a digital atmosphere.

With this course of, digital slides are created by scanning typical glass slides with a scanning system, which may be considered on a pc display screen or cell system and supply a high-resolution digital picture. Furthermore, AI pathology expertise provides a viable resolution to handle the rising workload in pathology, whereas guaranteeing extra fast and constant diagnostic providers and analysis actions.

Furthermore, AI-powered digital pathology options (digital pathology scanners and digital pathology software program) enable pathologists to look at extra circumstances and supply correct analysis. It’s price noting that digital workflows can velocity up processing instances, cut back administrative errors, allow distant collaboration, and improve productiveness, permitting for vital price financial savings.

Given the rising recognition and demand for such options in healthcare and scientific analysis, and the continuing efforts of AI-powered Digital Pathology Resolution Suppliers/AI Pathology Resolution Suppliers to proceed enhancing/increasing their portfolios, we consider that AI-based digital options are prone to Pathology market is growing at a gradual tempo till 2035.

Report scope

  • An govt abstract of the insights obtained throughout our analysis. It presents a high-level perception into the present state of the Synthetic Intelligence-Primarily based Digital Pathology market and its potential evolution over the medium-long time period.

  • A normal introduction to AI-based digital pathology, that includes info on AI in digital pathology, AI-based digital pathology workflows, and purposes of AI-based digital pathology options in healthcare.

  • An in depth evaluation of the general market panorama of AI-driven digital pathology suppliers, based mostly on a number of related parameters.

  • In-depth evaluation highlighting modern market traits.

  • Put together profiles of various main gamers who’re concerned in offering providers associated to AI-based digital pathology. Every profile incorporates a quick profile of the corporate (together with info on the 12 months of incorporation, variety of staff, location of the headquarters and administration group) and particulars on current developments and knowledgeable future prospects.

  • Aggressive evaluation of the corporate for the varied gamers working on this area. It highlights the capabilities of business gamers (when it comes to their experience throughout numerous providers associated to AI-based digital pathology).

  • An evaluation of the financing and investments made on this area, throughout the interval 2016-2022, based mostly on a number of related standards, such because the variety of circumstances, the quantity invested, the kind of financing, the sector of utility, geography, and knowledge on essentially the most lively gamers. within the area of digital pathology based mostly on synthetic intelligence.

  • Detailed evaluation as a way to estimate present and future demand for AI-based digital pathology, based mostly on a number of related parameters.

  • An in depth market forecast evaluation, highlighting the potential growth of the Synthetic Intelligence-Primarily based Digital Pathology market within the brief to medium and long run, throughout the interval 2022-2035. With the intention to account for future uncertainties and so as to add energy to our mannequin, we introduced three market forecast situations, particularly conservative, normative, and optimistic situations, which symbolize completely different paths for business progress.

Often Requested Questions

  • Who’re the important thing gamers concerned in bringing AI-based digital pathology/AI pathology to healthcare?

  • What geographies have emerged as main hubs for suppliers of AI-driven digital pathology?

  • What sort of end-users primarily use AI in digital pathology of their typical workflow?

  • What kind of funding initiatives are generally reported by stakeholders on this area?

  • What are the important thing methods for rising gamers to implement to enter the AI-based Digital Pathology market?

  • What are the important thing market traits and driving components prone to affect the expansion of the AI-Primarily based Digital Pathology/Pathology Market?

  • How is the present and future alternative prone to be distributed throughout key market segments?

Essential matters coated:

1. Preface
1.1 Chapter Overview
1.2 Market segmentation
1.3 Scientific Analysis Strategies
1.4 Reply the primary questions
1.5 Define of the chapter

2. Govt abstract

3. Introduction
3.1. Chapter overview
3.2 Synthetic intelligence in digital pathology
3.3 AI-based digital pathology workflow
3.4. Purposes of digital pathology options based mostly on synthetic intelligence
3.5 Regulatory Necessities Specializing in AI-Primarily based Digital Pathology:
3.6 Challenges related to the usage of synthetic intelligence in digital pathology
3.7 Future Prospects

4. AI-Primarily based Digital Pathology: Market Panorama
4.1 Chapter Overview
4.2 AI-based Digital Pathology Suppliers: Market Overview
4.3 AI-based Digital Pathology Suppliers: The Developer Panorama

5. AI-Primarily based Digital Ailments Market: Key Insights
5.1 Chapter Overview
5.1.1. Evaluation by kind of service and area of utility
5.1.2. Evaluation by function kind and utility space
5.1.3. Evaluation by product kind and area of utility
5.1.4. Evaluation by product kind and headquarters location
5.1.5. Evaluation by firm dimension and headquarters location

6. Firm profiles
6.1 Chapter Overview
6.2 Pathai
6.2.1. Firm profile
6.2.2. Current developments and outlook
6.3 beige
6.4. Akoya Organic Sciences
6.5. Prussia
6.6. Physiopharm
6.7 Roche tissue analysis
6.8 Euphoria Applied sciences
6.9 Indica Labs
6.10. Apex Medical Analytics

7. Evaluation of the corporate’s competitiveness
7.1 Chapter Overview
7.2 Assumptions and Key Parameters
7.3. methodology
7.4. Measurement of pockets energy
7.5 Measuring Funding Energy
7.6. Agency Competitiveness Evaluation: Small Gamers
7.7 Firm Competitiveness Evaluation: Medium-sized Gamers
7.8 Firm Competitiveness Evaluation: Main Gamers

8. Finance and investments
8.1 Chapter Overview
8.2 Forms of Funding
8.3 AI-Primarily based Digital Pathology: Checklist of Funding and Investments
8.4 Concluding Remarks

9. Demand evaluation
9.1 Chapter Overview
9.2. Scope and methodology
9.3 World Demand for AI-Primarily based Digital Pathology, 2022-2035
9.4 Demand for AI-Primarily based Digital Pathology: Evaluation by Geography
9.5 Demand for AI-Primarily based Digital Pathology: Evaluation by Finish Person Sort
9.6 Concluding Remarks

10. Market dimension and alternative evaluation
10.1. Chapter overview
10.2. Forecasting methodology and key assumptions
10.3. World AI-Primarily based Digital Pathology Market, 2022-2035
10.4. AI-driven Digital Pathology Market: Evaluation by Neural Community Sort, 2022 and 2035
10.5. AI-driven Digital Pathology Market: Evaluation by Examination Sort, 2022 and 2035
10.6. AI-driven Digital Pathology Market: Evaluation by Finish Person Sort, 2022 and 2035
10.7. Synthetic Intelligence-Primarily based Digital Pathology Market: Evaluation by Software Space, 2022 and 2035
10.8. AI-driven Digital Pathology Market: Evaluation by Goal Illness Indicator, 2022 and 2035
10.9. AI-driven Digital Pathology Market: Evaluation by Key Geographic Areas, 2022 and 2035

11. Concluding remarks

12. Govt Statistics
12.1. Chapter overview
12.2. Interview transcript: Joe Yeh (CEO and Chairman of the Board)
12.3. CTL Clinicech Lab Interview Transcript: Suraj Pramani (Laboratory Director and Senior Pathologist)
12.4. Huron Digital Pathology Interview Textual content: Savvas Damaskinos (Vice President for Analysis and Know-how)
12.5. Mindpeak Interview Transcript: Anil Berger (VP, Gross sales & Advertising and marketing)
12.6. Pramana Corresponding Transcript: Scott Wallace (Vice President, Enterprise Growth and Strategic Partnerships)

13. Appendix 1: Tabulated knowledge

14. Appendix 2: Checklist of corporations and group

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