Who makes metering, power quality, monitoring for AI data centers
Meters and power-quality monitoring equipment installed throughout the electrical chain to measure consumption, detect anomalies, and feed the data facility operators use to manage load and bill tenants.
Metering and monitoring equipment is layered throughout the electrical chain described above, from utility interconnection points down to individual racks, measuring voltage, current, and power quality rather than switching or converting power itself. At the utility and substation level (7.01), metering settles billing and interconnection compliance; at the building and hall level, it lets an operator see load in real time and plan capacity; at the rack level, in colocation and multi-tenant settings, it is what tenant billing is based on. Power-quality monitoring specifically watches for harmonics, voltage sags, and transients — the kind of disturbance that GPU load swings (7.12) can create — so operators can see stress on upstream equipment before it trips a breaker or damages sensitive electronics. This is a broad, mature product category with many qualified suppliers and low differentiation at the individual meter level, so the more relevant question for investors is which vendors are building the software and analytics layer on top of the raw meter data, since that is increasingly where facility operators expect to spend, rather than on the sensors and meters alone.
AI delta: Fast GPU load swings make power-quality monitoring more important than in a conventional data center, since operators need to see transients that could stress upstream equipment (7.12) or trip protection devices (7.08) before they cause a problem.
Companies on this part (13)
| Company | Role | Ownership | Ticker | Price | 1d | Confidence | Note |
|---|---|---|---|---|---|---|---|
| ABB | manufacturer | public | ABBN.SW | 79.28 CHF | -0.6% | inferred | |
| Eaton | manufacturer | public | ETN | 416 USD | -2.3% | inferred | |
| Fluke · unit of Fortive | manufacturer | subsidiary | FTV* | inferred | |||
| Legrand | manufacturer | public | LR.PA | 136 EUR | -0.8% | inferred | |
| Schneider Electric | manufacturer | public | SU.PA | 298 EUR | -0.6% | inferred | PowerLogic |
| Siemens | manufacturer | public | SIE.DE | 287 EUR | -0.4% | inferred | |
| Vertiv | manufacturer | public | VRT | 269 USD | -1.5% | inferred | |
| Accuenergy | manufacturer | private | inferred | ||||
| Camlin | manufacturer | private | inferred | ||||
| Elspec | manufacturer | private | inferred | ||||
| Janitza | manufacturer | private | inferred | ||||
| Packet Power | manufacturer | private | inferred | ||||
| Socomec | manufacturer | private | inferred |
Who competes here
The same table read the other way: every company above competes for metering, power quality, monitoring sockets. Confidence tags matter — an inferred placement is a lead, not a confirmed rivalry.
Nearby parts
- Previous in layer: Paralleling switchgear & generator controls
- Next in layer: 800 V DC architecture & solid-state transformers
- Layer: Layer 7 — Electrical: power distribution (grid to rack)
Sources: placements without a source URL come from the taxonomy seed and are tagged accordingly. How this data is built.· Markdown · JSON