Patent guide
Innovation Metrics Guide: How PlainPatent Scores Companies
How PlainPatent measures innovation quality — the four dimensions behind the score and what they reveal about company R&D strategy.
Patent count alone is a poor measure of innovation. The PlainPatent innovation score combines volume with velocity (is the company accelerating?), breadth (how many technology domains?), and depth (how thoroughly is each invention claimed?) to produce a more meaningful composite metric.
Why a Single Number Falls Short
If you ranked companies by patent count alone, you would conclude that Samsung, IBM, and Canon are the three most innovative companies in the world. They have been for decades. But is that really true? IBM has been selling off patent portfolios and divesting business units. Canon operates in a mature market with incremental improvements. Raw count rewards longevity and scale, not necessarily innovation quality or strategic value.
The PlainPatent innovation score exists to solve this problem. Instead of relying on one dimension, it combines four complementary metrics into a single 0-100 score that captures both the quantity and quality of a company's patent program. Companies that are growing, diversifying, and filing thorough patents score higher than those simply maintaining legacy portfolios.
The four dimensions of the Innovation Score
How much each factor contributes to the 0–100 composite
- Portfolio volume
Portfolio volume
40 % weight
- Technology breadth
Technology breadth
25 % weight
- Filing velocity
Filing velocity
20 % weight
- Claim depth 15
Claim depth
15 % weight
What this shows Volume carries the most weight, but the other three dimensions together account for 60% — which is why a fast-growing, broadly-diversified mid-size filer can out-score a larger but static portfolio. Try it yourself in the Innovation Score Explorer.
Re-weight these dimensions yourself in the Innovation Score Explorer →
Dimension 1: Portfolio Volume (40% Weight)
Total number of US patents granted 2015-2025 from USPTO PatentsView data. This is the foundation metric — you cannot innovate at scale without filing patents. The score uses logarithmic scaling so a company with 100 patents is not unfairly compared to one with 100,000.
What it tells you: Sustained R&D investment over time. A company cannot accumulate thousands of patents without dedicated research teams and patent filing budgets.
What it doesn't tell you: Whether patents are commercially valuable. Many patents are filed defensively or on incremental improvements that never reach a product.
How to use it: Use volume as a baseline. If a company claims to be technology-driven but has minimal patent activity, that claim deserves scrutiny. Browse the innovation rankings to see volume leaders in each technology domain.
Dimension 2: Filing Velocity (20% Weight)
Year-over-year growth rate comparing 2020-2025 filings to the 2015-2019 baseline. A company that filed 500 patents in 2015-2019 and 800 in 2020-2025 has positive velocity. One that filed 800 then dropped to 500 has negative velocity.
What it tells you: Whether the company is accelerating or decelerating its innovation engine. Increasing velocity signals active investment and strategic expansion. Declining velocity may indicate budget cuts, strategic retreat, or organizational disruption.
What it doesn't tell you: Why velocity changed. A company might reduce filings because it completed a major technology push, not because it stopped innovating. Or it might increase filings because it acquired another company's R&D team.
How to use it: Velocity is most useful as a trend signal. Compare velocity across competitors — if one company in a sector is accelerating while others are flat, that company may be preparing for a strategic move.
Dimension 3: Technology Breadth (25% Weight)
The number of distinct CPC subclasses in which a company holds patents. Explore technology coverage on PlainPatent's technology directory.
What it tells you: How diversified a company's innovation is across technology domains. A company patenting in 50+ CPC subclasses is building capabilities across many technology fronts. One with patents in 5 subclasses has deep expertise in a narrow area.
What it doesn't tell you: Whether breadth is strategic or scattered. Some companies patent broadly because they operate platform businesses. Others patent broadly because they lack focus. The score treats both equally.
How to use it: Cross-reference technology breadth with the company's stated strategy. A semiconductor company with sudden patent activity in healthcare CPC classes may be diversifying. A healthcare company with patents in automotive may be exploring adjacent markets.
What This Means for You: A Practical Framework
When using PlainPatent's innovation scores for research or competitive analysis, follow this approach:
Step 1 — Check the overall score. Scores above 70 indicate strong portfolios. Below 50 indicates limited patent activity or declining programs.
Step 2 — Decompose the dimensions. A company can score 70 through different paths — high volume with low velocity, or moderate volume with high velocity and breadth. The decomposition tells you which type of innovator you are looking at.
Step 3 — Compare within industry. Innovation scores are most meaningful when compared within the same sector. A score of 60 in pharmaceuticals means something different from 60 in consumer electronics.
Step 4 — Track over time. Check if a company's score is trending up or down. A declining score from a historically strong innovator is a significant competitive signal.
Limitations of Quantitative Innovation Metrics
No scoring system can fully capture innovation quality. The PlainPatent innovation score is a useful screen — a way to quickly identify companies with strong patent programs and compare them against peers. But it cannot measure the commercial importance of individual patents, the strategic value of specific technology positions, or the quality of the inventions themselves.
The score is most useful for relative comparison within an industry. A company scoring 80 in pharmaceuticals is operating at a different level than one scoring 80 in consumer electronics, because patenting norms, portfolio sizes, and technology breadth expectations differ across sectors. Use the score as a starting point for analysis, not as a final judgment.
Frequently Asked Questions
How is the PlainPatent innovation score calculated?
It is a 0-100 composite: Portfolio Volume (40%) on a log scale, Filing Velocity (20%) comparing 2020-2025 vs. 2015-2019, Technology Breadth (25%) counting distinct CPC subclasses, and Claim Depth (15%) averaging claims per patent. Each dimension is normalized before weighting.
Why does filing velocity matter?
Velocity measures acceleration. A company with steady volume but declining velocity may be coasting on past investments. One with increasing velocity is ramping up — often signaling strategic pivot or market entry.
What is a good innovation score?
Above 70 is strong. 50-70 is solid but typically focused. Below 50 indicates a small portfolio, declining activity, or narrow focus. Top 100 companies typically score 75-95.
Can small companies have high innovation scores?
Yes. Logarithmic scaling for volume means a 200-patent company filing rapidly across diverse technology areas with high claim depth can score well. Velocity and breadth reward growth regardless of absolute size.
Sources: United States Patent and Trademark Office, PatentsView.
Last updated: April 2026
Understanding the Data
The information presented throughout this guide is informed by publicly available public records published by the US Patent and Trademark Office through PatentsView. Our database aggregates and standardizes these records to make them more accessible and easier to interpret for general audiences. When we reference specific statistics or trends, they are drawn directly from these official USPTO records unless explicitly noted otherwise.
It is important to understand the limitations of any large-scale data dataset. Records may contain errors from the original data collection process, some fields may be incomplete for older entries, and classification systems may have changed over time. Our analysis accounts for these factors by clearly labeling data vintage, flagging records with missing critical fields, and noting when temporal comparisons span methodology changes in the source data.
For readers who want to conduct their own research, we recommend going directly to the source whenever possible. classification rules, and known data quality issues. Our goal is not to replace primary sources but to make them more approachable and to highlight patterns that may not be immediately obvious when browsing raw records.
How We Analyze Data Records
Our analytical approach involves several steps designed to surface meaningful insights from large datasets. First, we clean and standardize the raw data, handling variations in naming conventions, date formats, and categorical labels. Then we compute summary statistics, distributions, and time period, and category type.
Key metrics we examine include statistical records, technology-class breakdowns and filing trends. These indicators provide a multi-dimensional view of each entity in our database, allowing users to understand not just individual records but how they compare to peer companies and technology-class averages. We believe this contextual approach is far more valuable than presenting raw numbers in isolation.