11.01

Who makes DCIM for AI data centers

Software that models a data center's power, cooling, space, and asset capacity in a live digital twin, giving operators visibility into what a facility can still support.

DCIM platforms sit above every physical system in the facility — power distribution, cooling, rack space, network ports — and turn sensor and asset data into a single model operators use to plan capacity and catch problems before they cause an outage. As racks get denser and liquid cooling loops add another set of variables to track alongside power and airflow, the planning problem DCIM tools solve gets harder, and the digital-twin approach (modeling the facility before and during construction, not just monitoring it afterward) becomes more useful for validating a design ahead of costly retrofits.

AI delta: Denser AI racks, mixed liquid and air cooling, and faster fit-out timelines increase the complexity DCIM and digital-twin tools are asked to manage.

Appears at:Enterprise / small coloLarge colo / hyperscale buildingAI campusGW-class campus· cooling:any — Present at every scale; at hyperscale and above it typically expands from asset tracking into full digital-twin modeling used during design and commissioning, not just live monitoring.

Companies on this part (13)

CompanyRoleOwnershipTickerPrice1dConfidenceNote
AutodeskservicepublicADSK252 USD-0.3%inferred
BentleyservicepublicBSY39.70 USD+0.5%inferred
CadenceservicepublicCDNS316 USD+2.2%disclosedReality DC / 6SigmaDCX · source
CarrierservicepublicCARR56.24 USD+0.4%inferred
Device42 · unit of FreshworksservicesubsidiaryFRSH*disclosed · source
NvidiaservicepublicNVDA211 USD-0.7%inferredOmniverse
Schneider ElectricservicepublicSU.PA231 EUR-1.4%inferred
SiemensservicepublicSIE.DE257 EUR+0.4%inferred
VertivservicepublicVRT194 USD-0.2%inferredEnvironet; Trellis
EkkoSenseserviceprivateinferred
Hyperviewserviceprivatedisclosed · source
RF Codeserviceprivatedisclosed · source
Sunbirdserviceprivatedisclosed · source

Who competes here

The same table read the other way: every company above competes for DCIM, digital twins, capacity planning sockets. Confidence tags matter — an inferred placement is a lead, not a confirmed rivalry.

Nearby parts

Watch

EcoStruxure IT Advisor | DCIM Software & Data Center Digital Twin | Schneider Electric
Schneider Electric — vendor-agnostic DCIM software with a real-time facility digital twin
Click to load from YouTube · open on YouTube ↗

Independent videos — no affiliation; nothing loads from YouTube until you click.

Latest feed

Questions about DCIM, digital twins, capacity planning

What is DCIM, digital twins, capacity planning?
Software that models a data center's power, cooling, space, and asset capacity in a live digital twin, giving operators visibility into what a facility can still support.
Which companies make DCIM for AI data centers?
This catalog lists 13 companies on DCIM, digital twins, capacity planning, 9 of them with listed equity: Autodesk, Bentley, Cadence, Carrier, Device42, Nvidia, Schneider Electric, Siemens, Vertiv, EkkoSense, and 3 more.
How does AI change demand for DCIM, digital twins, capacity planning?
Denser AI racks, mixed liquid and air cooling, and faster fit-out timelines increase the complexity DCIM and digital-twin tools are asked to manage.
How reliable are these DCIM, digital twins, capacity planning supplier placements?
The 13 placements on this part break down as 5 disclosed, 8 inferred. "disclosed" means the company or a filing says so; "reported" comes from trade press or a reference-design list; "inferred" is a taxonomy lead with no citation yet.

Sources: placements without a source URL come from the taxonomy seed and are tagged accordingly. How this data is built.· Markdown · JSON