Top 10 Biotech Big Data Companies

More Data For Better Medicine

The more we learn about biology, the more we realize all we do not know. It started with the genomic revolution and the first human genome sequenced in the early 2000s.

Genomics has now been joined by other datasets like transcriptomics, proteomics, metabolomics, microbiome, etc. forming a new “multiomics” science. We discussed in further detail this evolution in “Multiomics Are The Next Step In Biotechnology”.

These new tools have created a flood of data bringing detailed information about the inner activities of cells sometimes down to the atomic level. A key driver of this data growth has been the collapse of price of sequencing gene and other biological materials like proteins.

Source: ResearchGate

This has created enthusiasm about “Big Data” potential in biotech, mimicking the concept of big data from other, more IT-driven fields.

Already in 2018, the magazine Barron’s was asking “Will Big Data Lead to Big Biotech Returns?” and the industry started to ask “Implementing Large-Scale Data Processing and Analysis for Bioprocessing”

Quite a few companies are well-positioned to benefit from the drive to create and analyze at-scale biological data.

AI Merging With Big Data?

A new development in the last few years has been the emergence of AI. While AI made its way into public consciousness mostly in 2023, with LLMs (Large Language Models) like ChatGPT, the biotech industry started to embrace AI many years before that.