Industry Benchmark
IAM Maturity Benchmark for Retail
Retail starts at the research floor: thin margins, seasonal workforce churn, and a compliance regime that concentrates on cardholder data rather than identity breadth.
- Industry base
- 1.2 on the 0 to 4 scale
- Confidence
- Derived estimate
- At 10,000 identities, North America
- 1.15
- Scope
- Workforce (separate CIAM base)
The Starting Point
Why Retail Starts at 1.2
PCI DSS forces real controls, but only around payment environments. The rest of the estate (store systems, franchise operations, supply chain access) often runs on shared logins and manual provisioning. Seasonal hiring spikes create thousands of short-lived accounts that few retailers deprovision cleanly.
The upside: retail organizations that invest in identity see fast, measurable wins, because the baseline is low and the churn problem is exactly what modern joiner-mover-leaver automation solves. Beating this benchmark takes less absolute maturity than in regulated sectors.
Source: Derived from cross-industry research (2024-25). Confidence grading and citations are documented in the methodology.
Adjustments
What Shifts the Number
The base of 1.2 is adjusted for organization size and for region. Both tables below are computed with the same engine function the assessment runs, so they match what your results page would show. The exact parameterization is part of the licensed methodology.
Organization size (North America)
Expectations rise on a log curve: each step up in estate size moves the benchmark less than the last.
| Managed identities | Benchmark |
|---|---|
| 500 | 0.60 |
| 2,500 | 0.89 |
| 10,000 | 1.15 |
| 50,000 | 1.44 |
| 250,000 | 1.57 |
| 1,000,000 | 1.57 |
Region (at 10,000 identities)
Regional factors reflect documented differences in identity program adoption across markets.
| Region | Benchmark |
|---|---|
| North America | 1.15 |
| Western Europe | 1.20 |
| Eastern Europe | 1.09 |
| APAC Developed (Japan, Australia, Singapore) | 1.15 |
| APAC Emerging (India, SEA) | 1.03 |
| Middle East | 1.20 |
| Latin America | 0.97 |
| Africa | 0.97 |
By Domain
Expected Maturity by Domain
The overall benchmark is not flat across domains. Privileged access carries the highest expectation; newer capability areas carry lower ones. Values below apply the per-domain adjustments to the Retail benchmark at 10,000 identities in North America, capped at the 4.0 scale maximum.
| Domain | Adjustment | Expected maturity |
|---|---|---|
| IGA | 1.00 | 1.15 |
| PAM | 1.10 | 1.26 |
| Auth/SSO | 1.05 | 1.21 |
| Cloud | 0.80 | 0.92 |
| Security | 0.85 | 0.98 |
| Governance | 1.00 | 1.15 |
Workforce-scope domains shown. CIAM-scope assessments follow the CIAM benchmark treatment described below.
Read This Before Comparing
What This Benchmark Is, and Is Not
Customer identity (CIAM) scope
CIAM assessments for Retail use a separate customer-identity base rather than the workforce number. At the reference scenario (10,000 identities, North America), the CIAM-scope benchmark is 0.96 against 1.15 for workforce scope.
A research prior, refined over time
This number is a research-derived estimate (derived estimate), not a survey of Retail organizations run by AXIS. It sits at tier 4 of the 4-tier benchmark system: the fallback that is always available. As the pool of consented assessments grows, peer data blends into the estimate and gradually outweighs the prior, with the blend disclosed on every results page. Current pool coverage is published on the benchmark status page.
Interactive
Tune the Retail Benchmark to Your Organization
Adjust size, region, and scope. The result comes from the same engine function the assessment uses.
Between 100 and 5,000,000.
Benchmark 1.15 of 4 for Retail in North America.
Research benchmark
1.15
on the 0 to 4 maturity scale, for Retail in North America
- Industry base: 1.2 for Retail (derived estimate).
- Size: At 10,000 identities, the expectation matches a 10,000-identity peer at the same settings.
- Region: North America matches the North America baseline at these inputs.
- Scope: Workforce scope applies the industry base directly.
This is the research-derived prior (tier 4 of the benchmark system). Assessments blend in consented peer data where enough of it exists.
Other Industry Benchmarks
Financial Services
1.6Financial services carries the highest starting expectation of any industry in the AXIS model, the product of decades of audit pressure on access controls.
Energy & Utilities
1.4Energy and utilities benchmark above the general floor, pulled up by NERC CIP obligations and years of nation-state attention on critical infrastructure.
Technology/SaaS
1.4Technology and SaaS companies benchmark above the floor: cloud-native tooling gets adopted early, but integration sprawl and machine identities erode the advantage.
Healthcare
1.3Healthcare sits above the cross-industry floor but below financial services: HIPAA forces access discipline, while clinical workflows push back on it daily.
Manufacturing
1.2Manufacturing starts at the research floor: plant-level autonomy, OT environments, and serial acquisitions leave identity fragmented across sites.
Public Sector
1.2Public sector organizations start at the research floor, constrained by budget cycles, legacy systems, and procurement timelines that outlast most modernization plans.
See Where You Stand Against This Benchmark
The assessment scores your program across every domain above, then plots it against the Retail expectation at your size and region. About 20 minutes, no signup required to start.