Market revenue in 2023 | USD 18.7 million |
Market revenue in 2030 | USD 31.3 million |
Growth rate | 7.6% (CAGR from 2023 to 2030) |
Largest segment | Device |
Fastest growing segment | Software |
Historical data | 2018 - 2022 |
Base year | 2023 |
Forecast period | 2024 - 2030 |
Quantitative units | Revenue in USD million |
Market segmentation | Software, Device, Storage Systems |
Key market players worldwide | Danaher Corp, Hamamatsu Photonics KK, Koninklijke Philips NV, Olympus Corp, Roche Holding AG ADR, McCormick & Co Inc Registered Shs Non Vtg, Inspire Medical Systems Inc, PHC Holdings Corp, Huron Consulting Group Inc, CellaVision AB Bearer Shs, IBEX Ltd, Morphic Holding Inc, Nuvation Bio Inc Ordinary Shares - Class A |
Device was the largest segment with a revenue share of 52.41% in 2023. Horizon Databook has segmented the Spain digital pathology market based on software, device, storage systems covering the revenue growth of each sub-segment from 2018 to 2030.
The digital pathology market in Spain is projected to exhibit constant growth rate throughout the forecast period. The growth can be attributed to strategic partnerships among key players and hospital & other healthcare providers across the country. In July 2016, Spanish Hospital Campus de la Salud and Philips Healthcare entered into an 8-year strategic partnership agreement to technologically upgrade and renew medical and laboratory equipment.
Strategies and guideline issued by the government organizations such as eHealth strategy issued by the European Commission for Spain are expected to create a positive impact on the market over the coming years. Product marketing & distribution approvals in the country is further anticipated to broaden the scope for growth of digital pathology market.
In June 2014, GE Healthcare received CE mark for Omnyx Integrated Digital Pathology and a high-volume slide scanner for primary diagnosis in the European Union. It is designed to connect pathologists as well as subspecialists and improve accuracy and provide greater diagnosis efficiency.
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