Schneider Electric will acquire industrial data and AI software provider Cognite Holding B.V. in an all-cash deal valued at $3.1 billion, the company announced July 6, 2026. The acquisition places Cognite's platform at the core of AVEVA's industrial intelligence stack, giving operations teams a unified data foundation on which AI can move from describing equipment conditions to controlling plant workflows directly.
What Cognite brings to the table
Cognite's platform rests on two pieces: a unified industrial data model that integrates and contextualizes engineering, operational, and enterprise data through a knowledge graph, and Atlas AI, which layers agentic AI capabilities on top. Together they let customers operationalize AI within plant operations, asset management, and engineering workflows without rebuilding their data infrastructure first.
The company was founded in 2017 and employs more than 800 people across the Americas, Europe, Middle East, and Asia-Pacific. In 2025, annual revenue exceeded $170 million, with 36% growth in ARR bookings driven by rapid adoption of the Atlas AI platform.
How it fits into AVEVA and Schneider Electric
AVEVA, Schneider Electric's wholly owned industrial software subsidiary, will integrate Cognite as the data and AI foundation within its CONNECT industrial intelligence platform. The combination extends CONNECT's reach across the full asset lifecycle - design, build, operate, and optimize - with enterprise-wide data contextualization and agentic AI that can automate industrial workflows. Cognite's open architecture means analytics and AI can ingest data from customers' existing systems rather than requiring rip-and-replace.
Olivier Blum, Schneider Electric CEO, said: "Cognite has built something rare, a truly industrial-grade AI platform that turns the complexity of operational data into a competitive advantage." He added that the acquisition "strengthens AVEVA in the highest-growth segments of the market and positions Schneider Electric at the centre of the next phase of industrial intelligence."
Blum framed the deal around a simple logic: "At Schneider Electric, we have always believed the energy transition demands intelligence, intelligence demands data, and unlocking its full value requires AI." The industrial AI market is shifting from descriptive analytics - telling operators what happened - to prescriptive and autonomous action. Blum sees Cognite as the foundation for that shift: "Together, we go beyond connecting systems. We give them the ability to think, adapt, and act."
Deal structure and timeline
The transaction covers 100% of Cognite's share capital and remains subject to customary closing conditions including regulatory approvals. Closing is expected in the coming quarters. Once complete, Cognite will operate within AVEVA and report financially under Schneider Electric's Industrial Automation business.
For operations professionals watching the industrial software market, the deal signals consolidation around platforms that combine unified data models with agentic AI. Rather than stitching together point solutions for data ingestion, analytics, and automation, large vendors are betting that customers want a single AI for Operations backbone that spans the asset lifecycle.
Why this matters for operations professionals
The practical question for ops teams is whether this acquisition accelerates the kind of AI that changes daily work. Cognite's agentic AI capabilities are designed to act on operational data - adjusting setpoints, triggering maintenance workflows, reordering materials - not just flag anomalies for human review. If the integration with AVEVA CONNECT succeeds, operations managers at asset-intensive facilities will have fewer screens to monitor and fewer handoffs between systems. The platform's ability to contextualize data across engineering, operations, and business systems also reduces the manual reconciliation work that eats into shift time.
For those building the skills to work with these systems, structured training paths like the AI Learning Path for Operations Managers can bridge the gap between traditional OT expertise and the data-modeling expectations these platforms introduce. The tools are arriving. The readiness to use them is the variable that operations teams control.
Your membership also unlocks:
