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Patent Representation Gap Index

We analyzed patent inventor data for the top 100 public tech companies by market cap. The median female inventor rate is 9.1%. Only a handful of companies exceed the national average. Every company with workforce data shows a gap between who builds and who files.

The Patent Representation Gap measures the distance between a company's workforce composition and its patent inventor composition. If 25% of your technical staff are women but only 10% of your patent inventors are, that 15-point gap represents innovation going unrecognized and unprotected.

Patent data comes from the Zenodo replication dataset behind the Nature (2025) "Gender disparity in U.S. patenting" paper, covering U.S. utility patents from 1976 to 2021. Workforce data comes from official company diversity disclosures where available.

Published April 2026. This is a patent-side representation index, not a complete innovation census. See methodology section for limitations and data sources.

The Big Picture

89
of 100 top tech companies matched to patent records
CompaniesMarketCap + Zenodo
9.1%
Median female inventor rate across matched companies
Zenodo / Nature 2025
12.8%
National Women Inventor Rate (USPTO benchmark)
USPTO, 2019
9-36pt
Workforce-to-patent gap range where data exists
Gap Proxies (10 companies)

Who Leads: Top 10 by Women on Patents

Ranked by percentage of patents that include at least one woman inventor. This measures actual patent output, not just who is in the inventor pool.

Company Patents Patents w/ Women
JD.com6636.4%
QUALCOMM38,24326.2%
Uber87425.4%
eBay3,05725.1%
Tencent1,29624.9%
Netflix46222.9%
Intuit2,19222.5%
Applied Materials13,30022.1%
Palo Alto Networks2,69621.8%
Meta (Facebook)9,23621.7%
QUALCOMM stands out: 26.2% of their 38,243 patents include at least one woman inventor. That is a massive portfolio with genuine inclusion. Notably, the companies that rank highest here are mostly US software and platform companies, not semiconductor firms.

The Major Tech Companies

The largest companies by market cap, sorted by percentage of patents that include women.

Company Patents Patents w/ Women Workforce Gap
Meta9,23621.7%
Microsoft52,94518.9%17.2pt (Tier A)
Amazon20,84016.8%24.3pt (Tier B)
Google30,22516.7%13.0pt (Tier A)
Apple36,91116.6%26.4pt (Tier C)
NVIDIA4,83410.0%
Tesla7928.5%
Samsung164,0710.9%

Workforce Gap = disclosed women-in-tech % minus patent inventor %. Tier A = tech roles disclosed. Tier B/C = broader proxy. "—" = no public data.

Meta leads at 21.7%. Samsung's 0.9% is striking — they have 164,071 patents but women appear on fewer than 1 in 100. The gap between US software companies and Asian semiconductor firms is dramatic and likely reflects different patent team structures.

The Full List: All 89 Companies

Sorted by percentage of patents that include at least one woman inventor. Scroll to find your company. The "Female Inv %" column shows what share of unique inventors are women — a useful complement but not the primary ranking metric.

Company Patents Patents w/ Women Female Inv %
JD.com6636.4%29.8%
NAURA Technology633.3%10.5%
QUALCOMM38,24326.2%13.4%
Uber87425.4%13.8%
eBay3,05725.1%14.3%
Tencent1,29624.9%16.2%
Netflix46222.9%11.3%
Intuit2,19222.5%15.9%
Applied Materials13,30022.1%10.5%
Palo Alto Networks2,69621.8%10.7%
Meta (Facebook)9,23621.7%12.2%
ServiceNow97021.2%15.3%
Airbnb16521.2%20.2%
Salesforce4,07820.8%12.9%
IBM161,87519.4%11.6%
Lam Research3,63119.3%9.1%
Microsoft52,94518.9%10.0%
ASE Group1,77218.3%20.2%
Equinix15918.2%8.0%
Palantir1,44817.7%11.5%
AMD12,61117.2%9.6%
PayPal2,43917.1%13.0%
Amazon20,84016.8%8.5%
Intel53,34716.8%10.2%
Alphabet (Google)30,22516.7%10.6%
Apple36,91116.6%8.6%
KLA2,92816.5%8.1%
Booking Holdings5516.4%6.1%
Oracle12,63116.0%9.9%
Snowflake82915.8%10.1%
Coinbase8015.0%9.0%
Strategy (MicroStrategy)33514.9%5.0%
Seagate8,76614.9%7.6%
Broadcom11,18914.5%8.1%
Marvell Technology8,75814.2%13.6%
Cisco19,40513.9%8.8%
Sandisk6,45913.7%10.1%
Coherent Corp.1,10412.5%7.1%
Spotify56611.8%17.7%
ADP49011.8%14.3%
Synopsys2,32711.7%9.4%
DoorDash7811.5%5.6%
Adobe6,43111.5%10.3%
Electronic Arts54811.1%9.0%
Cadence Design2,52011.0%9.0%
Texas Instruments28,73210.4%7.5%
Cloudflare28310.2%6.1%
NVIDIA4,83410.0%5.8%
TE Connectivity1,0959.6%5.7%
Micron Technology37,3689.3%6.6%
Dell11,4228.9%5.9%
Monolithic Power3428.8%8.0%
Arista Networks6318.7%5.9%
Tesla7928.5%4.4%
Ericsson2,5168.4%6.1%
Autodesk1,2208.3%9.9%
Roper Technologies1177.7%5.7%
Fortinet8616.9%5.9%
Lumentum3106.8%6.0%
Analog Devices4,5586.2%5.7%
Garmin8395.8%4.5%
NXP Semiconductors7,3605.5%13.4%
CrowdStrike1015.0%3.3%
Keysight6074.8%5.1%
Arm Holdings3,4684.5%8.4%
Delta Electronics (Thai)734.1%10.3%
Tokyo Electron10,3803.6%11.9%
Schneider Electric2,6913.1%4.5%
ASML5,3632.8%8.3%
Shopify2082.4%25.0%
Alibaba2,3642.4%12.7%
SAP9,1732.3%16.9%
Sony75,5982.1%9.1%
Nokia19,1102.1%10.4%
Advantest2,2931.8%7.3%
Nintendo2,8081.5%7.7%
Infineon17,1451.4%7.5%
Foxconn22,0681.3%15.5%
SK Hynix16,4331.1%13.8%
MediaTek5,4510.9%6.2%
Samsung164,0710.9%11.9%
TSMC35,6590.8%18.3%
Panasonic33,4800.4%7.6%
Delta Electronics3,1490.3%7.8%
Xiaomi2,3400.3%4.2%
SMIC1,7820.2%25.0%
Disco Corp.1,4160.1%8.6%
Murata Manufacturing14,3690.1%4.1%
Datadog120.0%0.0%

89 of 100 top tech companies matched. 11 had no obvious assignee match. Sorted by "Patents w/ Women %" — the share of patents that include at least one woman inventor. "Female Inv %" shows the share of unique inventors who are women. These metrics can diverge significantly. Data: Zenodo/Nature (2025), US utility patents 1976-2021.

The two columns tell different stories. SMIC has 25% female inventors but only 0.2% of patents include women — the women are in the pool but rarely on the filings. Shopify has 25% female inventors but only 2.4% patents with women. US software companies (Meta, Microsoft, Salesforce) tend to include women on patents at higher rates than Asian semiconductor firms, even with fewer women in the inventor pool. Find your company. Then ask: which metric matters more for your organization?

The Workforce-to-Patent Gap

Where companies publicly disclose women in technical roles, we can calculate the gap between workforce representation and patent inventor representation. These are the most defensible comparisons, ranked by data quality.

Company Women in Tech Roles Female Patent Inventors Gap Data Quality
Cisco18.0%8.8%9.2ptTier A
Google23.6%10.6%13.0ptTier A
Intel25.0%10.2%14.8ptTier A
Adobe26.2%10.3%15.9ptTier A
SAP34.0%16.9%17.1ptTier C
Microsoft27.2%10.0%17.2ptTier A
Salesforce30.6%12.9%17.7ptTier A
Amazon32.8%8.5%24.3ptTier B
Apple35.0%8.6%26.4ptTier C
Zillow49.0%12.9%36.1ptTier C

Tier A: Company disclosed women specifically in technical/engineering roles. Tier B: Corporate employees (broader than patent-producing roles). Tier C: Overall workforce (weakest proxy, overstates the gap).

Every company with data shows a gap. Even the tightest comparison (Cisco, Tier A data, 9.2 points) shows women in technical roles are underrepresented among patent inventors. The widest gap is Zillow at 36.1 points, though that uses overall workforce data which overstates the true gap.

What This Means

The Gap Is Universal

Across 89 matched companies, the median female inventor rate is 9.1%. The national average is 12.8%. Most major tech companies fall below even the national baseline. This is not a single-company problem.

The Biggest Barrier Is Awareness

Research shows women's patents demonstrate higher novelty, originality, and technological generality. The gap is not talent or quality. It is that many engineers never learn their work contains strategic concepts worth protecting. The disclosure bottleneck happens before the lawyer is called.

It Changes What Gets Invented

Underrepresentation does not just misallocate credit. It shapes which problems get solved. Research estimates thousands of female-focused biomedical inventions never materialized due to inventor demographics. The missing innovations are real.

AI Can Help or Hurt

AI tools that scan code for strategic concepts can replace the mentorship networks most engineers never had. But AI trained on historically biased patent records risks learning "what a successful inventor looks like" from a skewed sample. The tool matters. The training matters more.

Methodology and Limitations

Patent Data

Organization-level assignee data from the Zenodo replication dataset behind the Nature (2025) "Gender disparity in U.S. patenting" paper. Covers U.S. utility patents, 1976-2021, with inventor gender composition per organization.

Company Universe

Top 100 publicly traded tech companies by market cap from CompaniesMarketCap. 89 of 100 had a nonzero assignee match in the patent data. Company matching uses transparent brand-based name matching.

Gender Metrics

Two measures: female inventors as a share of all distinct inventors, and patents with at least one woman inventor. These answer different questions. The first measures inventor representation. The second measures team inclusion.

Key Limitations

Patent data is cumulative through 2021, not year-matched. Workforce disclosures vary by year and metric. Company matching is auditable but imperfect. A true innovation-gap index would pair same-year patent flow with same-year workforce data. This is a representation index, not a causal measure.

How we got here

We started by building our own patent analysis pipeline using the Google Patents API, sampling hundreds of patents per company and estimating inventor gender from first names. That initial analysis produced directionally consistent results but with lower precision. For example, our sampling showed Microsoft at 2.2% female inventors. The full Zenodo dataset shows 10.0% across 52,945 patents. The discrepancy taught us that relevance-sorted API sampling skews toward prolific repeat filers and underrepresents the broader inventor base.

That experience led us to the Zenodo replication data behind the Nature (2025) study, which gave us full-portfolio coverage with academic-quality gender classification. The numbers on this page reflect that upgraded dataset. Our API pipeline remains useful for analyzing companies not in the Zenodo data or for patents filed after 2021.

This is honest, not perfect. We use peer-reviewed data, transparent matching, and comparability tiers instead of false precision. Where workforce data is weak, we say so. Where the comparison is approximate, we label it. We also show our work: the initial sampling, the correction, and why we upgraded.

Where does your company stand?

We can analyze your patent portfolio against your workforce data and show you exactly where the gap is. Which technology areas are unprotected. Which teams are filing and which are not.

The patent data is public. The insight is knowing where to look and what to do about it.

We also build tools that close the gap. Our scanner surfaces strategic concepts in your codebase so the engineers who would never self-nominate can still have their innovations recognized.

Talk to Us About Your Gap

Or scan your own codebase to see what strategic concepts your engineers are building right now.

Results are strategic concepts, not legal conclusions. Review with a patent attorney.