Process / pipelineScience Technology StudiesScientometrics and technology intelligencePipeline

Patent Analysis

Also known as: Patent analytics, Patent bibliometrics, Patent landscaping

OriginatorFrancis Narin (patent bibliometrics) and the patent-analytics communityYear1994Sources2Related methods7

Patent analysis, or patanalytics, mines the documents and metadata in patent databases to generate technological intelligence. Because patents are structured, dated, classified, and citation-linked records of inventive activity, analysing patent counts, citations, classification codes, applicants, and text reveals who is innovating where, in which technologies, how fields connect, and how the technological landscape is shifting—evidence that feeds competitive intelligence, R&D strategy, and foresight.

Key highlights

  • Draws on vast, structured, publicly available datasets covering decades of worldwide inventive activity.
  • Provides quantitative, reproducible indicators—counts, citations, classes—that support objective benchmarking and trend detection.
  • Reveals the structure of technology fields and the linkages between them through classification and citation analysis.
  • Offers early, fine-grained signals of emerging technologies and competitor activity that feed foresight and strategy.

Intuition

This section is available to Pro members. Upgrade to Pro

How it works

This section is available to Pro members. Upgrade to Pro

When to use it

Use patent analysis when you need objective, large-scale evidence about inventive activity—who is patenting what, where, and how a technology field is structured and evolving—to support competitive intelligence, R&D strategy, technology foresight, or policy. It excels when the technology is patent-intensive and well represented in patent databases. The method assumes that patents are a meaningful proxy for inventive activity, that metadata and citations carry technological signal, and that large aggregates wash out individual noise. It is less appropriate for fields where firms prefer secrecy or where patenting is uncommon (e.g. some software or services), for very recent activity not yet published, or where strategic and defensive patenting behaviour decouples patents from real innovation.

Strengths & limitations

Strengths
  • Draws on vast, structured, publicly available datasets covering decades of worldwide inventive activity.
  • Provides quantitative, reproducible indicators—counts, citations, classes—that support objective benchmarking and trend detection.
  • Reveals the structure of technology fields and the linkages between them through classification and citation analysis.
  • Offers early, fine-grained signals of emerging technologies and competitor activity that feed foresight and strategy.
Limitations
  • Patents are an imperfect proxy for innovation: propensity to patent varies widely across industries, firms, and countries.
  • An 18-month publication lag and the gap between invention and application mean the data always trail the technological frontier.
  • Strategic, defensive, and 'patent thicket' behaviour can inflate counts that no longer track genuine technological advance.
  • Name disambiguation, family consolidation, and classification noise demand heavy cleaning, and errors there bias every indicator.

Common pitfalls

This section is available to Pro members. Upgrade to Pro

Applications

This section is available to Pro members. Upgrade to Pro

Frequently asked

Are patents a reliable indicator of innovation?

They are a useful but partial proxy. Patents capture codified, patentable inventions, but the propensity to patent varies greatly across industries (high in pharmaceuticals and electronics, low in software or services), firms, and countries, and much innovation is never patented. Strategic and defensive patenting can also inflate counts. Patent analysis is therefore most reliable for patent-intensive fields and is strongest when triangulated with other indicators such as publications, R&D spending, and market data.

What is the difference between a patent and a patent family?

A single invention is often protected by separate patent applications filed in multiple jurisdictions (e.g. the US, Europe, Japan). A patent family groups all these related filings of the same invention. Counting individual documents without consolidating families overstates activity and biases comparisons toward inventions filed in many countries, so serious analysis works at the family level and uses family size itself as an indicator of an invention's perceived value.

Which databases and tools are used for patent analysis?

Common data sources include the EPO's PATSTAT, Clarivate's Derwent World Patents Index, Google Patents, and Lens.org, alongside national and WIPO collections. Analytical tools range from Derwent Innovation and VantagePoint for cleaning, indicator computation, and mapping to general data-science and text-mining environments. The choice depends on coverage needs, the depth of citation and classification data required, and whether open or commercial access is preferred.

Sources

  1. 1.
    Narin, F. (1994). Patent bibliometrics. Scientometrics, 30(1), 147-155.
  2. 2.
    Abbas, A., Zhang, L., & Khan, S. U. (2014). A literature review on the state-of-the-art in patent analysis. World Patent Information, 37, 3-13.

You have read it. What now?

Cite this page

ScholarGate. (2026, June 22). Patent Analysis. ScholarGate. https://scholargate.app/science-technology-studies/patent-analysis