State Of Ats 2026 MCP Server

State of ATS 2026 — Dataset

The 738-employer Applicant Tracking System dataset from the State of ATS 2026 report. Across the 704 employers verified against their live careers portals, Workday leads at 37.9% — common, but well short of a majority — and the market is far more fragmented than usually claimed: Greenhouse 12.5%, SAP SuccessFactors 9.7%, Oracle Cloud HCM 7.0%, then a long tail of iCIMS, Avature, Eightfold, SmartRecruiters, Taleo, and Ashby. The top three vendors together cover 60.1% — not the "triopoly" often claimed — and 36 distinct platforms are in active use. Published as a CSV + typed TypeScript wrapper so you can drop it into a notebook, a SQL warehouse, or your job board without any scraping.

⚠️ Accuracy notice (June 2026)

An earlier version of this dataset reported Workday at 75.4% with a "hand-verified" methodology. That was wrong: the original ATS attributions were compiled with AI from public information and were not individually verified. A portal-verification audit found them only ~52% accurate (the model defaulted to "Workday" when unsure). We have since re-checked 704 of the 738 employers against their live careers-portal apply-URL hosts. Those rows now carry verified: true and the numbers above reflect ONLY that verified subset. The remaining ~30 rows are verified: false — unconfirmed prior estimates; treat them as leads, not facts. For analysis, filter to verified === true.

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Headline numbers

Share of the 704 portal-verified employers (verified === true):

The top 3 vendors (Workday + Greenhouse + SuccessFactors) cover ~60% of verified employers — not the "triopoly" often claimed. 36 distinct ATS vendors appear across the verified set, plus proprietary internal systems (Amazon, Meta, Google, Microsoft run their own).

Job seeker? The practical takeaway: the same resume is parsed differently by each ATS, so it scores differently in Workday vs Greenhouse vs Lever. The free ResumeAI ATS checker scores yours against the specific parser your target employer uses.

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Install

npm install @withresumeai/ats-data

import {
  companies,
  verifiedCompanies,
  getATSForCompany,
  getCompaniesByATS,
  getCompaniesByIndustry,
  atsDistribution,
  atsShare,
} from "@withresumeai/ats-data";

console.log(companies.length);          // 738 (all rows)
console.log(verifiedCompanies.length);  // 704 (verified === true)

getATSForCompany("apple");
// → { company: "Apple", slug: "apple", atsSystem: "Internal ATS", industry: "Technology", sourceUrl: "..." }

// Each row carries a `verified` flag — filter to it before trusting an attribution:
companies.find((c) => c.slug === "apple")?.verified; // true

// atsDistribution()/atsShare() count the VERIFIED subset by default:
atsDistribution();
// → { Workday: 267, Greenhouse: 88, SuccessFactors: 68, "Oracle Cloud HCM": 49, iCIMS: 39, "Internal ATS": 30, ... }

atsShare();
// → { Workday: 37.93, Greenhouse: 12.5, SuccessFactors: 9.66, ... }

atsShare({ all: true }); // include unconfirmed rows (not recommended for analysis)

Works the same in CommonJS:

const { getATSForCompany } = require("@withresumeai/ats-data");

Python (pandas)

The CSV is shipped inside the npm tarball, but you can also grab it directly from this repo or from the live API:

import pandas as pd

# Option A: install the npm package, then load from node_modules
df = pd.read_csv("node_modules/@withresumeai/ats-data/data/companies.csv", comment="#")

# Option B: download the canonical CSV from the published report
df = pd.read_csv(
    "https://withresumeai.com/api/reports/state-of-ats-2026/csv",
    comment="#",
)

df[df["verified"]]["ats_system"].value_counts().head(12)  # verified rows only

Raw CSV download

• GitHub: data/companies.csv
• Canonical URL: https://withresumeai.com/api/reports/state-of-ats-2026/csv
• Schema: name, slug, industry, ats_system, verified, apply_host, evidence_method, checked_at, hq_country, hq_country_code, hq_region, hiring_volume_tier, top_roles, source_url

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What's in the dataset

Each row is one employer with seven fields:

evidence_method — provenance is per row, because it is mixed.

Filter on apply_host, not on verified, for anything load-bearing: 156 of the 187 rows without evidence are still flagged verified.

738 rows in total — 704 with verified=true and 34 with verified=false (unconfirmed, flagged as such). Of the verified rows, 548 publish a recorded apply host you can open in a browser; the remaining 156 rest on the June 2026 audit with no per-company artifact published, which is the weakest part of the set and worth knowing before you lean on it. Coverage spans the Fortune 500, the Global 2000, and a curated set of high-growth private companies (Series C and later, $1B+ valuation).

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Methodology

The dataset covers 738 large employers selected to maximize coverage of where U.S. and global job seekers actually apply — by hiring volume rather than headline market cap.

Two-stage provenance (read this). The company list and an initial ATS guess for each were compiled with AI from public information — fast, but not individually checked. That first pass was wrong often enough to matter (a later audit measured ~52% accuracy; it over-assigned "Workday" whenever the model was unsure). So in June 2026 we re-checked the roster against live portals, and in July 2026 a review of the 485 rows without an automated weekly probe corrected 115 of them for drift (acquisitions, renames, silent vendor migrations), bringing it to the current 704 verified of 738. Automated apply-host sweeps have run since, roughly a pass a week; the last one reconfirmed 309 of the 462 employers whose vendor exposes a probeable endpoint the right way:

• Open the employer's official careers/apply page and read the apply-URL host — the ground truth. *.myworkdayjobs.com → Workday, boards.greenhouse.io → Greenhouse, jobs.lever.co → Lever, *.icims.com → iCIMS, *.oraclecloud.com/hcmUI → Oracle, *.successfactors.* → SuccessFactors, *.avature.net → Avature, jobs.ashbyhq.com → Ashby, proprietary host (e.g. jobs.apple.com) → Internal.

Rows that passed that check have verified: true; the rest keep their unconfirmed first-pass estimate with verified: false. Every market-share number in this README and in atsShare() is computed over the verified subset only.

Each company is also tagged with industry, a hiring volume tier (mega: 100k+ employees; high: Fortune 500 / major hirer; mid: mid-cap / growth-stage), and top hiring roles (1–3 role slugs that map to the dominant openings).

Limitations. (1) 704 of 738 rows are flagged verified, but only 548 of those publish a recorded apply host. The other 156 carry no per-company artifact, so verified is doing more work on those rows than the evidence shows. Filter on the evidence host, not just the flag, for anything load-bearing. Provenance is mixed and stated per row: most apply hosts came from automated portal and vendor probes, 47 were recorded by a person. (2) Point-in-time snapshot — mid-market employers change ATSes often, and some will have migrated since June 2026. (3) "Internal ATS" is an umbrella for proprietary systems with no third-party vendor host (e.g. Amazon, Meta, Apple, Google, Microsoft).

The full methodology, vendor-by-vendor commentary, and cross-tabs by industry and seniority are in the State of ATS 2026 report.

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Citation

If you use the dataset in journalism, research, or a downstream product, please cite as:

Zahiri, K. (2026). State of ATS 2026: Applicant Tracking Systems used by 738 large employers. ResumeAI. https://withresumeai.com/reports/state-of-ats-2026

BibTeX:

@misc{zahiri2026stateofats,
  author       = {Zahiri, Kayvan},
  title        = {State of ATS 2026: Applicant Tracking Systems used by 738 large employers},
  year         = {2026},
  publisher    = {ResumeAI},
  howpublished = {\url{https://withresumeai.com/reports/state-of-ats-2026}},
  note         = {Dataset available at \url{https://github.com/Kayvan-Zahiri/state-of-ats-2026}}
}

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Contributing

PRs welcome — additions, corrections, ATS migrations. See CONTRIBUTING.md for the schema, the review process, and what we will / won't merge.

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Related

• State of ATS 2026 full report — https://withresumeai.com/reports/state-of-ats-2026
• ATS checker (per-company pages backed by this dataset) — https://withresumeai.com/ats-checker
• ResumeAI — the resume builder this dataset powers — https://withresumeai.com

License

MIT. See LICENSE.

Built and maintained by Kayvan Zahiri / ResumeAI.