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~€3.2B total annual impact across CPOs globally (ex-China)
| Segment | 2025 | 2030 | 2035 |
|---|---|---|---|
| Public (CPO) | 2.3M | 5.0M | 9.0M |
| Private CPO-managed | 3.0M | 8.0M | 17.0M |
| Total | 5.3M | ~13M | ~26M |
| Multiple | 1× | ~2.5× | ~5× |
| Assumption | Basis |
|---|---|
| Public projections | IEA CPS/APS mid-range |
| US discounted ~20% vs APS | NEVI pause, policy shifts |
| CPO-managed share (private) | ~40% today → ~50% by 2035 |
| Private/public ratio | 1.3× → 1.6× → 1.9× |
| China excluded | ~65% of global stock, different economics |
| Step | Result |
|---|---|
| 5.3M chargers × 2.4 sess/day × 365 | ~4.6B sess/yr |
| × 10% failure rate | ~460M failures |
| × 50% abandon × €7.50 avg | €1.7B lost rev |
| × 20% contact rate × €10/contact | €1B support |
| ~650K churned × €350 LTV + B2B | €500M churn |
| Assumption | Value |
|---|---|
| Session freq (weighted pub/priv) | 2.4 /day |
| Abandon rate (fail → leave) | 50% |
| Avg lost revenue / uncharged visit | €7.50 |
| Support contact rate (weighted) | 20% |
| Cost per contact (blended channel) | €10 |
| Churn intent (Qualtrics / JD Power) | 43% |
| Follow-through rate (intent → act) | ~20% |
| Customer LTV (weighted global) | €350 |
| Input | Value |
|---|---|
| FTEs replaced by Panop | ~7 |
| Avg FTE cost (loaded) | €50K /yr |
| 7 FTEs × €50K | €350K /yr |
| Operational efficiency gains | ~€100K /yr |
| Input | Value |
|---|---|
| Session recovery (auto-restart) | €1.6M /yr |
| Uptime improvement | €480K /yr |
| Combined per 10K chargers | |
|---|---|
| Cost savings | €450K /yr |
| Revenue recovery | €2.06M /yr |