This research study involved the extensive use of both primary and secondary sources. It involved the analysis of various factors affecting the industry to identify the segmentation types, industry trends, key players, the competitive landscape of market players, and key market dynamics such as drivers, opportunities, challenges, restraints, and key player strategies.
Secondary Research
This research study involved the wide use of secondary sources, directories, databases such as Dun & Bradstreet, Bloomberg Businessweek, and Factiva, white papers, annual reports, and companies’ house documents. Secondary research was undertaken to identify and collect information for this extensive, technical, market-oriented, and commercial study of the AI in pathology market. It was also used to obtain important information about the top players, market classification, and segmentation according to industry trends to the bottom-most level, geographic markets, and key developments related to the market. A database of the key industry leaders was also prepared using secondary research.
Primary Research
In the primary research process, various supply-side and demand-side sources were interviewed to obtain qualitative and quantitative information for this report. Primary sources from the supply side included industry experts such as CEOs, vice presidents, marketing and sales directors, technology & innovation directors, engineers, and related key executives from various companies and organizations operating in the AI in pathology market. Primary sources from the demand side included personnel from pharmaceutical & biopharmaceutical companies, research institutes, and hospitals (small, medium-sized, and large hospitals).
A breakdown of the primary respondents is provided below:
*C-level primaries include CEOs, CFOs, COOs, and VPs.
*Others include sales managers, marketing managers, business development managers, product managers, distributors, and suppliers.
Note: Companies are classified into tiers based on their total revenue. As of 2023, Tier 1 = >USD 10.00 billion, Tier 2 = USD 1.00 billion to USD 10.00 billion, and Tier 3 = < USD 1.00 billion.
Source: MarketsandMarkets Analysis
To know about the assumptions considered for the study, download the pdf brochure
Market Size Estimation
The total size of the AI in pathology market was determined after data triangulation through the two approaches mentioned below. After the completion of each approach, the weighted average of these approaches was taken based on the level of assumptions used in each approach.
Data Triangulation
The size of the AI in pathology market was estimated through segmental extrapolation using the bottom-up approach. The methodology used is as given below:
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Revenues for individual companies were gathered from public sources and databases.
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Shares of leading players in the AI in pathology market were gathered from secondary sources to the extent available. In certain cases, shares of AI in pathology businesses have been ascertained after a detailed analysis of various parameters including product portfolios, market positioning, selling price, and geographic reach & strength.
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Individual shares or revenue estimates were validated through interviews with experts.
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The total revenue in the AI in pathology market was determined by extrapolating the Market share data of major companies.
Market Definition
The AI in pathology market refers to the commercial space where companies develop, market, and provide products and services that incorporate artificial intelligence technologies specifically designed for pathology applications. This market focuses on leveraging AI algorithms, machine learning techniques, and advanced computational tools to enhance and automate various aspects of the pathology workflow.
This report provides a close look at AI in pathology market. It offers applications in drug discovery, disease diagnosis & prognosis, clinical workflow, and training & education.
Stakeholders
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Pathologists
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Suppliers And Distributors of Digital Pathology Equipment
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AI System Providers
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Medical Research and Biopharmaceutical Companies
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Pharmaceutical Companies and Cros
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Hospitals and Clinics
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Laboratories
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Regulatory Bodies
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Medical Research Institutes
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Artificial Intelligence (AI) in Pathology Solution Providers
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Universities and Research Organizations
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Forums, Alliances, and Associations
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Academic Research Institutes
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Technology Providers
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Healthcare Payers
Report Objectives
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To define, describe, and forecast the AI in pathology market by offering, neural networks, functions, use case, end user, and region
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To provide detailed information about the major factors influencing the market growth (drivers, restraints, opportunities, and challenges)
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To strategically analyze micromarkets with respect to individual growth trends, prospects, and contributions to the overall market
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To analyze market opportunities for stakeholders and provide details of the competitive landscape for key players
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To forecast the size of the market segments in North America, Europe, the Asia Pacific, Latin America, and the Middle East & Africa
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To profile key players and comprehensively analyze their market shares and core competencies in the AI in pathology market
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To benchmark players operating in the AI in pathology market using the Competitive Leadership Mapping framework, which analyzes key market players and start-ups on various parameters within the broad categories of market share/rank and product/service footprint
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To track and analyze competitive developments such as product launches, expansions, agreements, partnerships, collaborations, product approvals, investments, and acquisitions to strengthen their market presence in the AI in pathology market.
HIGHEST CAGR MARKET IN 2023
NORTH AMERICA FASTEST GROWING MARKET IN THE REGION
Growth opportunities and latent adjacency in AI in Pathology Market