Weekly-updated risk intelligence from 4,721 compliance programmes
Updated weekly by the GRCTrack Benchmark Network
Composite risk score = (100 − maturity) × 0.40 + (remediation / 15 × 100) × 0.30 + (100 − automation) × 0.30 · 2026 edition
Cross-industry average: 8.0 days · Best-in-class: SaaS (5.4d) · Worst: Hospitality (10.4d) · Gap (worst vs best): 1.9×
| Industry | Avg Days | vs Benchmark | Trend |
|---|---|---|---|
| Hospitality | 10.4d | +2.4d | ↑ |
| Retail | 9.1d | +1.1d | ↑ |
| Healthcare | 8.8d | +0.8d | ↑ |
| Financial Services | 8.3d | +0.3d | ↑ |
| eCommerce | 7.8d | -0.2d | ↓ |
| FinTech | 6.2d | -1.8d | ↓ |
| SaaS | 5.4d | -2.6d | ↓ |
Cross-industry automation rate 2020–2026 · YoY growth: 10.6% (industry average)
Top automators: SaaS (74%), FinTech (72%) · Lowest: Hospitality (35%), Healthcare (42%)
Cross-industry average: 58/100 · Best industry: FinTech (68)
10 highest-programme countries by maturity index · 22 countries tracked
| Country | Maturity Index | Risk Tier | Programmes |
|---|---|---|---|
| Singapore | 68/100 | Low | 340 |
| USA | 66/100 | Low-Moderate | 1,240 |
| UK | 64/100 | Low-Moderate | 620 |
| Netherlands | 63/100 | Low-Moderate | 180 |
| Germany | 62/100 | Low-Moderate | 290 |
| Canada | 60/100 | Moderate | 310 |
| Australia | 59/100 | Moderate | 280 |
| France | 58/100 | Moderate | 220 |
| India | 54/100 | Moderate | 480 |
| Brazil | 49/100 | Elevated | 260 |
Source: GRCTrack Benchmark Network — 4,721 compliance programmes, 7 industries, 22 countries.
Formula: Composite risk score = (100 − maturity) × 0.40 + (remediation_days / 15 × 100) × 0.30 + (100 − automation) × 0.30
Privacy: All data anonymised using k-anonymity (k≥5). No individual organisation data is surfaced in aggregate outputs.
The Global PCI Compliance Risk Index is a composite metric (0–100, higher = higher risk) calculated from three equally-weighted dimensions: compliance maturity gap, remediation delay, and automation coverage deficit. It is updated weekly from 4,721 benchmark programmes across 7 industries and 22 countries.
The index is recomputed weekly by the GRCTrack Benchmark Network agent. Each update incorporates the latest benchmark submissions, remediation telemetry, and automation adoption data from participating organisations.
Composite risk score = (100 − maturity) × 0.40 + (remediation_days / 15 × 100) × 0.30 + (100 − automation) × 0.30. Maturity gaps contribute 40% of the score, remediation delay 30%, and automation deficit 30%. All data is anonymised using k-anonymity (k≥5).
Hospitality carries the highest composite risk score (68) driven by the lowest maturity score (47/100), highest remediation delay (10.4 days), and lowest automation rate (35%) across all tracked sectors. Fragmented property management systems and high staff turnover are the primary structural contributors.
The most impactful levers are: (1) closing control maturity gaps — particularly patch management and access control — which reduces the 40% maturity component; (2) shortening remediation cycles through workflow automation, targeting the 5.4-day SaaS benchmark; and (3) increasing automation coverage toward the 72–74% FinTech/SaaS range. GRCTrack's continuous compliance engine surfaces these gaps in real time.