The “AI-based Digital Pathology Market: Industry Trends and Global Forecasts, 2022-2035” report features an extensive study of the current landscape, offering an informed opinion on the likely evolution of the market in the healthcare domain, over the next decade.
The report features an in-depth analysis, highlighting the capabilities of various stakeholders engaged in this domain.
Key Inclusions
- A detailed overview of the current market landscape of AI-based digital pathology providers, along with information on their year of establishment, company size and location of headquarters. Further, it highlights a detailed assessment of the overall market landscape of AI-based digital pathology players based on several relevant parameters, such as type of product, type of service offered, type of feature, additional features, areas of application, target disease indication and type of end-user
- An in-depth analysis, highlighting the contemporary market trends, using five schematic representations, including distribution based on type of service and area of application, distribution based on type of feature and area of application, distribution based on type of product and area of application, type of product and location of headquarters, as well as an insightful hybrid representation of AI-based digital pathology providers based on company size and location of headquarters
- An insightful competitive analysis of various players engaged in this domain. It highlights the capabilities of industry players (in terms of their expertise across various services related to AI-based digital pathology). The chapter also includes benchmarking of industry players engaged in this domain based on their portfolio strength (type of product, type of service, type of feature, additional features, area of application and type of end-user) and funding activity (number of funding instances and funding amount).
- Elaborate profiles of various prominent players that are engaged in offering services related to AI-based digital pathology. Each profile features a brief overview of the company (including information on year of establishment, number of employees, location of headquarters and management team) and details related to recent developments and an informed future outlook
- An analysis of the funding and investments made within this domain, during the period 2016-2022, based on several relevant parameters, such as number of instances, amount invested, type of funding, area of application, geography and information on most active players engaged in the AI-based digital pathology domain
- An elaborate analysis in order to estimate the current and future demand for AI-based digital pathology, based on several relevant parameters, such as geography (North America, Europe, Asia, Latin America, MENA and Rest of the World) and end-users (hospitals, research and other end-users)
- A detailed market forecast analysis, highlighting the likely evolution of the AI-based digital pathology market in the short to mid-term and long term, over the period 2022-2035.
The report also features the likely distribution of the current and forecasted opportunity across important market segments, mentioned below:
- Type of Neural Network
- Artificial Neural Network
- Convolutional Neural Network
- Fully Convolutional Network
- Recurrent Neural Network
- Other Neural Networks
- Type of Assay
- ER Assay
- HER2 Assay
- Ki67 Assay
- PD-L1 Assay
- PR Assay
- Other Assays
- End-user
- Academic Institutions
- Hospitals / Healthcare Institutions
- Laboratories / Diagnostic Institutions
- Research Institutes
- Other End-users
- Area of Application
- Diagnostics
- Research
- Other Areas of Application
- Target Disease Indication
- Breast Cancer
- Colorectal Cancer
- Cervical Cancer
- Gastrointestinal Cancer
- Lung Cancer
- Prostate Cancer
- Other Indications
- Key Geographies
- North America
- Europe
- Asia
- Latin America
- Middle East and North Africa
- Rest of the World
- Key Countries
- US
- Canada
- UK
- Germany
- Spain
- Italy
- France
- China
- Japan
- South Korea
- Brazil
- Saudi Arabia
- Australia
Key Questions Answered
- Who are the leading players engaged in offering AI-based digital pathology in the healthcare domain?
- Which geographies emerged as key hubs for AI-based digital pathology providers?
- Which type of end-users are primarily employing AI in digital pathology in their regular workflow?
- What type of funding initiatives are most commonly being reported by stakeholders in this domain?
- What are the key strategies that can be implemented by emerging players to enter the AI-based digital pathology market?
- What are the key market trends and driving factors that are likely to impact the growth of the AI-based digital pathology market?
- How is the current and future opportunity likely to be distributed across key market segment?
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