According to a recent report by Reports and Data, the global Digital Pathology Market is expected to reach USD 2,234.9 Million by 2030, growing at a CAGR of 13.2% during the forecast period. The increase in the prevalence of chronic and cardiovascular diseases is the primary driving factor behind the development of new diagnostic solutions.

As the frequency of these diseases rises, there is a need for digital pathology systems that can provide accurate diagnoses. Furthermore, the growing application of digital pathology in drug development and companion diagnostics is driving digital pathology market revenue growth.

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Digital pathology involves the capture, management, exchange, and interpretation of pathology information, such as slides and data, in a digital environment. Scanning glass slides with a scanning instrument produces a high-resolution digital image that can be viewed on a computer screen or mobile device. The rise in demand for accurate diagnoses, along with increased investment in the development of innovative digital pathology systems, is driving the global digital pathology market's revenue growth.

However, there is a significant imbalance between supply and demand for pathologists worldwide, particularly in Africa and the Asia Pacific. Pathologists play a critical role in conducting laboratory tests necessary for diagnosing illnesses. Digital pathology can enable medical practitioners to securely and timely share essential information with pathologists across geographical borders.

Furthermore, emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML) assist pathologists in identifying diseases more quickly and improving their effectiveness. As a result of the critical scarcity of pathologists, digital pathology is predicted to be used more frequently to provide remote pathological consulting and services in regions such as Africa and APAC.

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The report also highlights some key highlights, such as the collaboration between Visiopharm and Agilent Technologies, Inc. to co-market Visiopharm's portfolio of AI-driven Precision Pathology software and Agilent's automated pathology staining solutions portfolio. The alliance aims to address the unmet requirements of pathology laboratories worldwide and develop technology, products, and services that improve pathology lab uniformity and speed up correct diagnosis.

The report segments the digital pathology market based on product, type, application, end-use, and region. The scanner segment accounted for the largest revenue share in 2021, driven by cloud-enabled digital pathology scanners that offer the most flexibility for storing, archiving, and managing digital pictures and metadata. The human pathology segment accounted for the largest revenue share in 2021, driven by the more accurate analysis and faster access to previously linked instances. The drug discovery segment accounted for the largest revenue share in 2021, driven by digital pathology's ability to enhance therapy possibilities for a number of disorders. The hospital segment accounted for the largest revenue share in 2021 due to the huge number of medical procedures and operations performed in hospitals.

North America accounted for the largest revenue share in 2021, driven by the development and innovation in digital pathology products, the presence of several biotechnologies and medical product industries, as well as advanced healthcare facilities. The companies profiled in the report include Leica Biosystems Nussloch GmbH, Hamamatsu Photonics K.K., F. Hoffmann-La Roche Ltd., 3DHISTECH Ltd., Apollo Enterprise Imaging Corp., XIFIN, Inc., Huron Technologies International Inc., Visiopharm A/S, Aiforia Technologies, and Akoya Biosciences, Inc.

In conclusion, the global digital pathology market is expected to grow significantly over the forecast period, driven by the rise in the prevalence of chronic and cardiovascular diseases, the need for accurate diagnoses, and the increasing application of digital pathology in drug development and companion diagnostics. The use of emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML) can assist pathologists in identifying diseases more quickly and improving their effectiveness.

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