Digital pathology has versatile applications in healthcare. It enables pathologists to digitize and analyze histological samples, facilitating remote consultations, second opinions, and collaboration among experts worldwide. Advanced image analysis algorithms aid in detecting and quantifying cellular features for accurate diagnoses. It streamlines workflow, improves turnaround times, and enhances data management in pathology laboratories. Digital pathology also supports research by enabling large-scale data analysis and integration with artificial intelligence for predictive analytics, ultimately advancing precision medicine and improving patient care.
According to Data Bridge Market Research, the Global Digital Pathology Market accounted for USD 971.49 million in 2021 and is expected to reach USD 2,492.64 million by 2029. The market is expected to grow with a CAGR of 12.5% in the forecast period of 2022 to 2029.
“Rapid technological advancements boost the market’s growth”
The digital pathology market is experiencing significant growth due to rapid technological advancements. Advancements in image analysis algorithms, whole-slide imaging, and cloud-based storage have improved the efficiency and accuracy of digital pathology systems. These technologies enable faster slide scanning, easy access to pathology images, and enhanced collaboration among pathologists. Additionally, integration with artificial intelligence and machine learning further optimizes pathology diagnostics. As healthcare organizations increasingly adopt digital pathology solutions, the market is poised to expand, revolutionizing pathology practices and improving patient outcomes.
What restraints the growth of the global digital pathology market?
“High cost associated with adopting digital pathology systems restraints the market’s growth”
The growth of the digital pathology market is restrained by the high cost associated with adopting digital pathology systems. The initial investment in acquiring digital pathology equipment, software, and infrastructure can be substantial for healthcare institutions. Additionally, ongoing maintenance, staff training, and data storage expenses add to the overall cost. The financial burden may deter some organizations from fully adopting digital pathology solutions, limiting market growth and delaying the widespread implementation of this technology in the healthcare industry.
Segmentation: Global Digital Pathology Market
The global digital pathology market is segmented on the basis of type, product, application, and end users.
- On the basis of type, digital pathology market is segmented into human pathology, and veterinary pathology.
- On the basis of product, digital pathology market is segmented into artificial intelligence, scanners, software, communication system, storage systems.
- On the basis of application, digital pathology market is segmented into drug discovery, disease diagnosis, teleconsultation, training and education.
- On the basis of end-users, the digital pathology market is segmented into pharmaceutical and biotechnology, hospitals, and academic research institutes.
Regional Insights: North America dominates the Global Digital Pathology Market
North America dominates the digital pathology market due to the introduction of favorable reimbursement policies and government initiatives. These measures encourage the adoption of digital pathology solutions in healthcare settings, making it more accessible and financially viable for healthcare institutions, driving market expansion.
Asia-Pacific is expected to grow at the highest growth rate in the forecast period of 2022 to 2029 due to the rising prevalence of cancer diseases. With an increasing number of cancer cases, there is a growing demand for accurate and efficient pathology diagnostics, driving the adoption of digital pathology solutions to enhance cancer diagnosis, treatment, and research.
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Recent Developments
- On September 2, 2021, Visiopharm (Denmark) and Agilent Technologies, Inc. (US) have joined forces to co-market their respective products—Visiopharm's AI-driven Precision Pathology software and Agilent's automated pathology staining solutions. The collaboration aims to address the unmet needs of pathology laboratories worldwide by promoting end-to-end quality and standardization of tissue diagnostics.
- In April 2021, OptraSCAN is set to launch OS-Ultra 320 high-speed scanners, capable of scanning cells and tissues measuring 15x15 mm at 40x magnification within just 60 seconds. The adoption of such scanners in pathology labs is a key driver fueling market growth. The rapid scanning capabilities and efficient analysis provided by these scanners are propelling advancements in pathology practices, streamlining diagnoses, and contributing to the expansion of the digital pathology market.
The Prominent Key Players Operating in the Global Digital Pathology Market Include:
- F. Hoffmann-La Roche Ltd (Switzerland)
- Hamamatsu Photonics (Japan)
- 3DHISTECH Ltd. (Hungary)
- AstraZeneca (U.K.)
- General Electric (U.S.)
- Healthcare Trading Co. LLC (UAE)
- Koninklijke Philips N.V (Netherlands)
- Inspirata, Inc. (U.S.)
- Olympus Corporation (Japan)
- Sectra AB (U.S.), PerkinElmer Inc. (U.S.)
- Apollo Enterprise Imaging Corp (U.S.)
- Mikroscan Technologies, Inc. (U.S.)
- VMscope GmbH (Germany)
- Huron Technologies International Inc. (Canada)
- Objective Pathology Services Limited (Canada)
- OptraScan (U.S.)
- Pathcore (Canada)
- Agfa-Gevaert Group (Belgium)
- Proscia Inc. (U.S.)
Above are the key players covered in the report, to know about more and exhaustive list of global digital pathology market companies contact, https://www.databridgemarketresearch.com/contact
Research Methodology: Global Digital Pathology Market
Data collection and base year analysis are done using data collection modules with large sample sizes. The market data is analyzed and estimated using market statistical and coherent models. In addition, market share analysis and key trend analysis are the major success factors in the market report. The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. Apart from this, data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Global vs Regional and Vendor Share Analysis. Please request analyst call in case of further inquiry.
