**The following ranges are analyst qualification hypotheses, not vendor eligibility rules or measured customer distributions.**
- **Company size:** Mid-sized to very large organizations with thousands of devices or a complex datacenter estate. Smaller firms can qualify when licensing exposure is unusually high.
- **Revenue:** Mid-market to very large enterprise revenue as a screening range—not a reliable predictor of need. Public-sector organizations should be qualified by estate complexity and budget instead.
- **Buying committee:** CIO/IT leadership, procurement, finance, security and enterprise architecture.
- **End users:** SAM/ITAM analysts, licensing specialists, FinOps practitioners, inventory administrators and contract managers.
- **Strong-fit characteristics:** Multiple major publishers, fragmented entitlement data, recurring audits, hybrid deployment and a funded operating model.
- **Poor-fit characteristics:** Basic laptop inventory, a handful of SaaS applications, minimal audit exposure, or no personnel to maintain data.
These hypotheses follow the implementation burden and enterprise-oriented experiences in the reviewed evidence, not a statistical segmentation study. (Industry analyst review pages)