Multimodal Data Platforms: The 2025 Buyer’s Guide

Life sciences research, particularly in drug discovery, faces significant challenges, including high costs, lengthy development times, and low approval rates, while also dealing with economic pressures and limited drug targets. Despite these hurdles, frontier data such as genomics, bioimaging, and proteomics are driving innovation by enabling new research methodologies and precision medicine approaches. However, managing and analyzing this complex data is challenging due to its unstructured nature, necessitating collaboration between bench scientists and research informatics teams. Existing data management solutions are often inadequate, either lacking the capacity to handle complex data modalities or failing to scale effectively. To address these issues, life sciences organizations need to adopt a unified data platform that facilitates collaboration and leverages advanced data management techniques, including FAIR data frameworks, to enhance drug discovery and improve patient outcomes. The selection of the right data infrastructure is critical, requiring careful evaluation of available solutions to ensure they meet both current and future needs.