Skip to content
Dataset · v2026.1

Remediation Delay Dataset v2026.1

Six-year remediation delay trend data (2020–2026) across 7 industries and 4,721 programmes

7 Industries6yr Trend (2020–2026)4,721 RecordsCSV + JSONBest/Worst Classk-Anonymity Protected
8.0d
Cross-Industry Avg (2026)
5.4d
Best-in-Class (SaaS)
10.4d
Worst-in-Class (Hospitality)
3.8d
Top-Decile P90

Data Preview — 6-Year Trend by Industry

industrydays_2026days_2024days_2022days_2020trendsample_size
fintech6.2d6.8d8.1d10.2dimproving810
saas5.4d5.7d7d9.1dimproving920
financial_services8.3d8d9.2d11.4dworsening480
healthcare8.8d9d10.1d12.3dimproving560
ecommerce7.8d8d9.4d11.8dimproving620
retail9.1d8.4d9d11dworsening540
hospitality10.4d9.9d10.8d12.9dworsening310

Download & Access

Download CSV

Full 6-year trend dataset as CSV with yearly columns and anonymised records.

Download CSV

Access via API

Programmatic access via /api/intelligence/remediation-delays

View API Endpoint

Frequently Asked Questions

What does remediation delay mean in this dataset?

Remediation delay is the number of calendar days from gap identification (via assessment or continuous monitoring) to verified closure (evidence accepted by QSA or automated control check). It excludes time before gap detection.

Why is Hospitality the slowest industry for remediation?

Hospitality has the lowest automation adoption (35%) of any tracked industry, fragmented property-level IT environments, high staff turnover affecting compliance knowledge, and limited in-house security expertise. These factors combine to produce the longest average remediation time at 10.4 days.

What is the best-in-class remediation time?

Top-decile (P90) performers across all industries achieve 3.8 days average remediation. In SaaS, the top-quartile achieves sub-3-day remediation through automated evidence pipelines and pre-built remediation playbooks.

Related Resources