Artificial Intelligence (AI)-Based Digital Pathology Solutions Market Exclusive Overview Report | 2024-2031

Artificial Intelligence (AI)-Based Digital Pathology Solutions Market to Record Rapid Growth with CAGR of 7.67% by 2030 - Exclusive Report by InsightAce Analytic

InsightAce Analytic Pvt. Ltd. announces the release of a market assessment report on the "Global AI-Based Digital Pathology Solutions Market By Type of Neural Network (Artificial Neural Network, Convolutional Neural Network, Fully Convolutional Network, Recurrent Neural Network, and Other Neural Networks), Type Of Assays (ER Assay, HER2 Assay, Ki67 Assay, PD-L1 Assay, PR Assay and Other Type of Assays),

Target Disease Indication Type (Breast Cancer, Colorectal Cancer, Cervical Cancer, Gastrointestinal Cancer, Lung Cancer, Prostate Cancer, and Other Indications) Application (Diagnosis, Research, And Other Applications), End-User Segment (Academic Institutions, Hospitals/Healthcare Institutions, Laboratories/Diagnostic Institutions, Research Institutes And Other)- Trends, Industry Competition Analysis, Revenue and Forecast To 2024- 2031."

According to the latest research by InsightAce Analytic, the global AI-Based Digital Pathology solutions market is expected to grow with a CAGR of 7.67% during the forecast period of 2024-2031. The prominent market players includes PathAI, Paige.AI, Akoya Biosciences, Aiforia, aetherAI, CellCarta, Deep Bio Inc., DoMore Diagnostics, PROSCIA, Pramana, Inc., Visiopharm A/S, Roche Tissue Diagnostics, Indica Labs, Ibex Medical Analytics, LDPath, OracleBio Limited, Verily, Mindpeak GmbH, Proscia Inc., SamanTree Medical SA, Tempus AI, Techcyte, Inc., Tribun Health and other vital companies.

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The pathology market is anticipated to increase rapidly due to the rising prevalence of diseases, the importance of digital pathology (DP) for the pharmaceutical industry, and regulatory bodies' clearance for the use of DP in primary diagnosis. Throughout the projection period, new business models, including on-demand services, will be crucial to breaking into unexplored areas and accelerating the general use of digital pathology.

Furthermore, because digital solutions are so costly, solution providers are capitalizing on this worry by establishing regional service centres that will meet the requirements of diagnostic labs in developing nations by offering services for image storage, slide scanning, and image analysis. The emergence of computational pathology (DP) will open avenues for developing AI-based diagnostic tools that will enable more accurate and repeatable diagnosis. Two of AI's most important functions are pattern recognition and perception generation. Consequently, DP may benefit from adding morphological traits and information through AI integration.

Computational pathology is becoming increasingly popular as DP and AI technology advance at an exponential pace. Prostate cancer detection with AI-based methods has previously been claimed to demonstrate promising outcomes. The introduction of cutting-edge medical device firms' products is also anticipated to stimulate further study into AI-Based Digital Pathology's potential as a cancer diagnostic tool, fueling the market's growth. Due to their growing application in drug development and biomarker identification, digital pathology solutions will continue to propel market revenue growth throughout the projection period. However, two market barriers are the absence of more computational analytical tools and the substantial upfront costs associated with global expansion.

Furthermore, a sluggish pace of technological development can prevent the market expansion of AI-based digital pathology solutions. North America holds the most significant share of the global market for Artificial Intelligence-Based Digital Pathology solutions due to advancements in healthcare infrastructure, rising per capita income, and cutting-edge research institutes and laboratories. The adoption of digital imaging, the persistence of R&D investments, encouraging government initiatives, and the presence of well-known enterprises based in the area are key factors contributing to this regional market's supremacy.

The fact that AI-based, digital pathology-focused companies have been approved to deploy an AI-based tool for detecting skin lesions and invasive breast cancer is another reason driving the market's growth.
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Key developments in the market :

• In October 2022, Tribun Health and GE Healthcare joined forces to provide comprehensive patient record solutions for digital pathology departments. GE Healthcare and Tribun intend to integrate Tribun's Health Suite data into its vendor-neutral archive (VNA), Edison Datalogue, to offer a data management solution. This project is expected to integrate digital pathology images with the imaging patient record, provide more accurate pathology reports in less time with artificial intelligence (AI) assisted by Tribun's Health Suite, and provide data in a consolidated location to facilitate collaboration among pathologists and clinicians.

• In August 2022, Indica Labs, which specializes in digital pathology and image management solutions, partnered with the Industrial Center for Artificial Intelligence Research in Digital Diagnostics (iCAIRD). The development of a digital pathology solution utilizing artificial intelligence (AI) to detect cancer in lymph nodes from colorectal surgery patients has been announced as part of a collaboration.

• In March 2022, The Cleveland Clinic and PathAI, the global leader in artificial intelligence (AI)-based pathology technology, announced a five-year strategic collaboration focused on utilizing PathAI's quantitative pathology algorithms to conduct new translational research as well as for clinical diagnostics in multiple disease areas. Using PathAI's AI-based platforms and Cleveland Clinic's clinical expertise, this collaborative effort will enable the implementation of next-generation pathology diagnostics across the entire system.

• In October 2021, A collaboration between Roche and PathAI to develop digital pathology applications based on artificial intelligence was announced. Researchers will create a workflow for pathologists for image analysis under the development and distribution agreement. Through its cloud version, NAVIFY Digital Pathology, Roche's enterprise software uPath seven can access PathAI's image analysis algorithms. Pathologists now have easy access to third-party AI-powered technology alongside Roche's growing inventory of AI-based image analysis tools through Roche's Digital Pathology Open Environment.

Market Segmentation:

Global AI-Based Digital Pathology Solutions Market, by Type of Neural Network, 2022-2030 (Value US$ Mn)

• Artificial Neural Network
• Convolutional Neural Network
• Fully Convolutional Network
• Recurrent Neural Network
• Other Neural Networks

Global AI-Based Digital Pathology Solutions Market, by Type Of Assay, 2022-2030 (Value US$ Mn)

• ER Assay
• HER2 Assay
• Ki67 Assay
• PD-L1 Assay
• PR Assay
• Other Type of Assays

Global AI-Based Digital Pathology Solutions Market, by Type Of Target Disease Indication, 2022-2030 (Value US$ Mn)

• Breast Cancer
• Colorectal Cancer
• Cervical Cancer
• Gastrointestinal Cancer
• Lung Cancer
• Prostate Cancer
• Other Indications

Global AI-Based Digital Pathology Solutions Market, by Application, 2022-2030 (Value US$ Mn)
• Diagnostics
• Research
• Other Applications

Global AI-Based Digital Pathology Solutions Market, by End-User, 2022-2030 (Value US$ Mn)

• Academic Institutions
• Hospitals/Healthcare Institutions
• Laboratories/Diagnostic Institutions
• Research Institutes
• Other End Users

Global AI-Based Digital Pathology Solutions Market, by Region, 2022-2030 (Value US$ Mn)

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa

North America AI-Based Digital Pathology Solutions Market, by Country, 2022-2030 (Value US$ Mn)

• U.S.
• Canada

Europe AI-Based Digital Pathology Solutions Market, by Country, 2022-2030 (Value US$ Mn)

• Germany
• France
• Italy
• Spain
• Russia
• Rest of Europe

Asia Pacific AI-Based Digital Pathology Solutions Market, by Country, 2022-2030 (Value US$ Mn)

• India
• China
• Japan
• South Korea
• Australia & New Zealand

Latin America AI-Based Digital Pathology Solutions Market, by Country, 2022-2030 (Value US$ Mn)

• Brazil
• Mexico
• Rest of Latin America

Middle East & Africa AI-Based Digital Pathology Solutions Market, by Country, 2022-2030 (Value US$ Mn)

• GCC Countries
• South Africa
• Rest of Middle East & Africa

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Why should buy this report:

 To receive a comprehensive analysis of the prospects for the global AI-Based Digital Pathology solutions market
 To receive an industry overview and future trends of the AI-Based Digital Pathology solutions market
 To analyze the AI-Based Digital Pathology solutions market drivers and challenges
 To get information on the AI-Based Digital Pathology solutions market size (Value US$ Mn) forecast to 2030
 To get information on significant investments, mergers & acquisitions in the

AI-Based Digital Pathology solutions industry
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