Summary
- Schneider Electric has agreed to acquire Cognite in a $3.1bn all-cash transaction.
- Cognite will be integrated with AVEVA, adding industrial data and AI software capability.
- The deal strengthens Schneider’s position around software-driven operations for power, cooling, automation, and asset-heavy infrastructure.
Schneider Electric has agreed to acquire industrial AI software company Cognite in a $3.1bn all-cash transaction, deepening the software layer behind one of the data centre sector’s largest suppliers of power, cooling, automation, and energy-management systems.
The French group plans to combine Cognite with AVEVA, its industrial software business. Completion remains subject to customary closing conditions and regulatory approvals, with the transaction expected to close in the coming quarters.
Cognite provides industrial data and AI software for asset-heavy sectors, using contextualised data, knowledge graphs, analytics, and operational workflows to make complex industrial systems easier to monitor and optimise. Schneider said Cognite generated more than $170m in revenue in 2025 and has about 800 employees worldwide.
Critical systems are becoming software systems
Data centre infrastructure is increasingly defined by the interaction between equipment and software. Electrical distribution, UPS systems, switchgear, cooling plant, building management, liquid-cooling systems, and maintenance tools are no longer isolated technical packages. They are monitored, modelled, and adjusted through digital platforms that influence how capacity is used and how risk is managed.
Schneider already has a broad data centre footprint across electrical systems, cooling, modular infrastructure, controls, software, and services. Cognite adds a stronger industrial data layer, particularly around the organisation of operational and engineering data that would otherwise remain spread across controls systems, design models, maintenance logs, and vendor platforms.
The value of that layer rises as sites become more power dense. AI clusters are altering electrical and mechanical design, while liquid cooling introduces additional monitoring and maintenance requirements. Facility teams need to understand not only whether plant is working, but how close systems are to thermal, electrical, and redundancy limits under changing IT loads.
Operational AI is often described in broad terms, but the useful applications in critical facilities are more specific. Earlier fault detection, asset degradation analysis, energy optimisation, maintenance planning, and engineering data integration can all improve site performance if the underlying data is trustworthy and the controls are governed carefully.
Automation still has to respect failure modes
Data centres can absorb experimentation in analytics, but not in live power and cooling systems. A recommendation engine that misreads plant conditions, or an automated workflow that lacks proper guardrails, can create new risk in the name of optimisation. The commercial attraction of industrial AI therefore sits beside a governance burden: cyber security, data quality, auditability, vendor lock-in, and clear boundaries between advice and control.
The Cognite transaction also points to consolidation among critical infrastructure suppliers. Hardware vendors are trying to own more of the operational stack because customers are dealing with higher capital intensity, tighter energy constraints, and a shortage of specialist engineering labour. The longer a supplier stays embedded in the site’s operational data, the stronger its services and software relationship becomes.
That shift will affect procurement. Operators may no longer be buying only switchgear, cooling units, or modular power systems. They will be evaluating the data models, integration pathways, APIs, security posture, and lifecycle support that sit behind the equipment. Facility resilience will depend partly on whether those systems remain transparent and maintainable over decades.
Schneider’s acquisition belongs in the data centre infrastructure file because the plant room is becoming more software-mediated. As AI demand forces denser, more dynamic sites, the ability to interpret electrical and thermal data quickly will influence uptime, efficiency, and capital utilisation.
The deal strengthens Schneider’s claim to a deeper role in the operating layer of industrial infrastructure. The harder work will be converting Cognite’s capabilities into data centre tools that help operators make better decisions without making critical systems more opaque.
