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Global patent and trademark data
What is IPqwery?
IPqwery compiles standardized data on every active patent and trademark held by companies worldwide. Coverage runs across the USPTO, CIPO, WIPO, EUIPO, and EPO, pulled directly from each registry and aggregated by owner. The same schema applies across multiple offices, so a portfolio in Canada lines up structurally with one in Europe.
What academic researchers should know about IPqwery patent and trademark data
The Active IP dataset captures pending and granted patents that have not yet expired, plus pending or registered trademarks that have not been abandoned, refused, cancelled, or allowed to lapse. Each row is a single patent or trademark, with full bibliographic content including filing dates, IPC and NICE classifications, ownership, abstracts, and goods and services descriptions. Coverage starts in 1980 and refreshes on an incremental basis.
Why academic researchers choose IPqwery on Dewey
Patent and trademark research has historically meant cobbling together raw bulk files from multiple national offices, each with its own schema, encoding, and quirks. IPqwery does the standardization work upfront, so researchers can compare a USPTO portfolio against an EUIPO one without writing a translation layer for every analysis. The data is built for industry buyers tracking corporate IP positions, which puts it well outside a typical academic budget on its own; through Dewey, researchers studying innovation, entrepreneurship, finance, or competition policy get the same feed without the commercial price tag. It pairs naturally with BrightQuery for private company financials, Similarweb for digital footprint, and SafeGraph for the physical presence of the same firms.
IPqwery academic research ideas and use cases
Innovation and firm value. Patent portfolios are one of the cleanest ways to measure innovative output, and a long line of work in management and finance journals connects patent counts, citations, and class breadth to firm value, R&D productivity, and stock market reactions. With IPqwery, researchers at places like London Business School and HEC Paris can build portfolio level measures across five offices in one schema rather than wrangling five separate raw feeds.
Trademarks as early signals from startups. Trademark filings often precede first revenue, and recent entrepreneurship research treats them as early indicators of seriousness, branding strategy, and venture capital interest. The Active IP dataset captures every pending and registered mark with NICE classes and goods and services text, which gives entrepreneurship scholars at NYU, Ivey, and NUS a way to date a startup's brand creation moment and tie it to later outcomes.
Mergers, acquisitions, and IP portfolios. IP overlap is a strong predictor of acquisition targets, deal premiums, and technological synergies between acquirer and target. Standardized active IP records across the USPTO, CIPO, WIPO, EUIPO, and EPO let researchers measure that overlap globally rather than in one jurisdiction at a time.
Competition policy and market power. IP concentration shows up in antitrust scholarship as a structural feature of market power. NICE class crowding, defensive patenting, and trademark depletion are all measurable in the Active IP dataset.
International innovation comparisons. The same schema across five major IP offices makes comparisons between regions tractable for researchers who would otherwise spend months reconciling field definitions. Researchers can study how the same firm files differently across offices, or how innovation activity varies across regions and over time, without rebuilding the data layer for every paper.
Dive deeper with Dewey documentation
Detailed information on onboarding with Dewey, data partner details, and technical documentation on data access.
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