Datadory notebook
How Market Researchers Use Biotechnology Data
Market researchers use biotechnology data to size therapy-area markets, count competitor pipelines and track regulatory and patent activity from primary scientific registries - ClinicalTrials.gov's 599,549 studies, OpenFDA's ~55 million records and WIPO PATENTSCOPE's 128.9 million patent documents. Twenty of the 24 primary datasets Datadory catalogs for this industry are free.
1,744 datasets. Pick your catch.
How do market researchers actually use biotechnology data?
In practice three layers stack together. Registry counts from ClinicalTrials.gov give pipeline activity by indication, phase and sponsor. Regulatory corpora from OpenFDA give adverse-event volumes, structured drug labels and NDC listings. Patent corpora from WIPO PATENTSCOPE and Google Patents show where filing intensity is concentrating. Underneath, population-scale evidence - NCI Genomic Data Commons case counts, cBioPortal tumor samples, CZ CELLxGENE Discover cell censuses - carries the epidemiology chapter of a sizing model. Mean Datadory quality score across the 24 records is 8.92, and nine of them refresh daily.
Which datasets make the ranked shortlist for market researchers?
Four names just miss the cut. ChEMBL, UniProt (149,810,139 entries in release 2026_02), RCSB Protein Data Bank and STRING serve discovery-science questions more than market questions. KEGG keeps its REST API free but reserves bulk FTP for subscribers despite publishing 587 pathway maps, and PRIDE's 40,809 proteomics projects - growing by 500-900 submissions per month - earn a citation whenever a report needs assay-level protein evidence.
Where to go next
Start with the biotechnology data guide for the full 24-dataset landscape, then go deeper on the two workflows this page sketched: clinical trial protocol results datasets for pipeline analytics and drug adverse event report databases for safety-signal trackers. The ranked source list lives on our biotechnology data for market researchers page, the free biotechnology datasets shortlist covers the no-budget route, and the biotechnology data hub indexes every dataset, API and source profile in the vertical.
Pick up where this leaves off
Every one of these ships with sample rows before you commit to anything.
ChEMBL
openFDA — FDA Regulatory Data on Drugs, Devices and Food
openfda
WIPO PATENTSCOPE
Google Patents
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Where can market researchers get biotechnology data for free?
Twenty of the 24 primary datasets Datadory catalogs for biotechnology are free. ClinicalTrials.gov publishes 599,549 studies as U.S. government commercial delivery terms, OpenFDA dedicates roughly 55 million records to the commercial delivery terms under commercial delivery terms, NCBI GEO serves about 250,000 Series over FTP without restrictions, and WIPO PATENTSCOPE offers free interactive search across 128.9 million records.
How do you size a biotechnology market using public data?
Stack three layers. Count active interventional trials by indication and phase in ClinicalTrials.gov for pipeline momentum, take case-level denominators from NCI Genomic Data Commons' 50,571 cancer cases and cBioPortal's 399,909 samples, then triangulate commercial structure with OpenFDA's label and NDC listings. Treat each layer as a proxy - none is a sales panel.
Which databases track biotech patent activity?
WIPO PATENTSCOPE indexes 128,858,885 records including 5,460,320 PCT applications, and its classification search matches roughly 1.64 million documents in biotech class C12N alone. Google Patents spans 100-plus granting authorities - one CRISPR query returns 278,768 results - with bulk SQL through the patents-public-data BigQuery dataset. Free PATENTSCOPE search allows 10 retrieval actions per minute.