Schneider Electric's Cognite Acquisition Bolsters AVEVA’s Industrial Data And AI Firepower

On June 30, 2026, global energy technology provider Schneider Electric announced that it had entered into a definitive agreement to acquire Cognite, a provider of industrial data and AI software, in an all-cash transaction valued at $3.1 billion. Founded in 2017, Cognite has established a strong position in the market, emerging as a Leader in Verdantix Green Quadrant evaluations of both industrial data management and industrial AI analytics. Its strengths lie in Cognite Data Fusion (CDF): a highly configurable industrial DataOps platform that combines a cloud-native architecture, an industrial knowledge graph and strong developer tooling to contextualize structured and unstructured industrial data at scale.

While Cognite initially built its reputation through industrial DataOps and data management, it has increasingly evolved into an industrial AI software provider. Alongside CDF, the firm offers Atlas AI, an agent-builder solution that leverages contextualized operational data to power industrial AI agents for use cases such as troubleshooting and root cause analysis. Atlas AI combines pre-built industrial agents with low-code development capabilities, enabling organizations to rapidly create bespoke agents grounded in operational context. Cognite Flows extends this further through adaptive, persona-based experiences that allow users to create workflow applications using natural language. Together, these capabilities move Cognite beyond data management towards operational execution and industrial AI at scale.

Upon completion of the acquisition, Cognite will be integrated with AVEVA, Schneider Electric’s industrial software business. AVEVA's heritage in industrial software means that it already has turnkey solutions spanning engineering, operations and asset performance management. The CONNECT platform, launched in 2024 as a low-code SaaS data integration layer designed to bridge legacy on-premises offerings with first- and third-party cloud applications, has since evolved into something broader. At AVEVA World 2026, CONNECT was positioned as a potential ‘system of systems’ for industrial applications, within which industrial AI partners such as Augury, Seeq and TrendMiner can access AVEVA's extensive industrial customer base through a common platform.

From our industrial data management Green Quadrant, AVEVA’s strengths are clear. AVEVA PI System remains one of the most widely deployed industrial process historians, with strong capabilities for time-series data acquisition, storage, visualization and operational monitoring. PI Vision is a mature low-code visualization tool, while AVEVA Asset Information Management (AIM) provides robust engineering information management capabilities. Together, these solutions provide large process industry customers with a trusted platform for operational data, analytics and human-machine interfaces.

AVEVA has also been expanding beyond its traditional historian and visualization heritage. Its purchase of Crosser and pending acquisition of TwinThread reflect a push towards more flexible, engineer-led analytics and AI application development. Rather than relying solely on predefined analytics use cases, these investments give operations teams greater freedom to build solutions tailored to their own processes and assets. Together with CONNECT, they highlight AVEVA's ambition to become a broader platform for industrial intelligence.

AVEVA’s portfolio has not been without limitations. Its data lineage, data quality management and unstructured data capabilities are spread across a complex product stack, and CONNECT is still maturing as the single interface for sources, transformations and usage across the data life cycle. Cognite’s offering complements AVEVA in strengthening this layer: a modern industrial knowledge graph with more capabilities to interpret structured data; more intuitive search and discoverability; and a stronger data science experience. Atlas AI's ability to create agents grounded in contextualized operational data, combined with Flows's adaptive, persona-based application experiences, could add an execution layer on top of its historian, engineering and visualization strengths. This will help CONNECT evolve from a data integration and marketplace layer into a platform for governed industrial execution.

This all sounds compelling on paper, but it also raises questions. There are now overlapping capabilities across AVEVA, Cognite, Crosser, TwinThread and Schneider Electric's broader software portfolio. Customers will expect a clear roadmap explaining how Cognite's products fit within CONNECT; how the various data, AI and application layers will be rationalized; and how Schneider Electric plans to reduce dependency on systems integrators through more productized workflows. Existing Cognite customers will also seek reassurance that future innovation remains accessible, allowing them to benefit from new capabilities without significant additional costs. If Schneider Electric can answer these questions, the acquisition could help AVEVA close the gap between industrial data acquisition and execution. For asset-intensive industries, this could translate into faster troubleshooting, lower maintenance costs, improved operational performance, better-informed engineering decisions, and a more scalable path to deploying AI across sites, assets and business functions.

To read more about market developments in the industrial analytics and data management space, check out the Verdantix Insights page.