Schneider Electric, the French multinational energy management and automation company, has announced its acquisition of Cognite, a Norwegian-founded industrial artificial intelligence firm, for $3.1 billion in an all-cash deal. The transaction, announced on June 30, 2026, marks one of the largest bets by a European industrial giant on software that can make factories, power grids, and other critical infrastructure operate autonomously.
Cognite, founded in 2017 by a group of engineers and data scientists, specializes in building software that aggregates messy, fragmented industrial data into a unified platform. Its core offering includes a unified data model and a knowledge graph, layered with agentic AI tools that can analyze, recommend, and even execute actions. The company has grown rapidly, employing over 800 people across the Americas, Europe, the Middle East, and Asia-Pacific. Its revenue exceeded $170 million in 2025, with recurring bookings rising 36 percent year-over-year.
Under the terms of the deal, Schneider Electric will fold Cognite into its existing industrial software division, Aveva, which it acquired in 2023 for approximately $11 billion. Aveva, headquartered in Cambridge, UK, provides software for engineering and industrial operations, and its CONNECT platform is used by manufacturers worldwide. By integrating Cognite's technology, Schneider aims to create an end-to-end system that spans the design, operation, and optimization of industrial assets, moving beyond simple data visualization toward full autonomous control.
What Cognite brings to the table
Cognite's two flagship products are Data Fusion and Atlas AI. Data Fusion handles the complex task of modeling and contextualizing engineering and operational data from disparate sources—such as sensors, SCADA systems, and maintenance logs—into a usable format. Atlas AI adds a generative and agentic layer that can automate tasks and speed up decision-making. For example, on a factory floor, an AI agent might detect a failing pump, automatically order a replacement part, schedule a technician for repair, and even update the maintenance log—all with a human supervisor simply signing off. This level of autonomy is a significant leap from traditional industrial software that merely alerts humans to problems.
Cognite has historically focused on asset-heavy industries like oil and gas, power generation, and manufacturing. These sectors accumulate decades of data but often struggle to leverage it effectively because the data is siloed, poorly formatted, or locked in legacy systems. Cognite's platform cleans, connects, and contextualizes this data, making it accessible for AI applications. This market has attracted other players such as Palantir, whose Foundry platform also aims to turn industrial data into actionable insights. However, Cognite's deep specialization in industrial contexts, combined with its agentic AI capabilities, sets it apart.
The acquisition also reflects a broader shift in industrial AI. For years, AI in factories was limited to descriptive analytics—flagging anomalies or generating reports. Now, with the rise of generative and agentic AI, the technology can interpret data, make decisions, and initiate actions without human intervention. Schneider Electric CEO Olivier Blum stated, 'Cognite has built something rare: a truly industrial-grade AI platform. This acquisition positions Schneider at the center of the next phase of industrial intelligence.'
Strategic rationale: From hardware to software
Schneider Electric is primarily known for its physical hardware—circuit breakers, switchgear, transformers, and power distribution equipment. It also provides energy management systems and automation solutions for buildings, data centers, and industrial plants. However, the company has long recognized that the future of industrial operations lies in software that can optimize and automate these physical assets. The acquisition of Cognite is a clear step in that direction.
The French firm has also been a quiet beneficiary of the broader AI boom. Its shares have climbed 26 percent over the past year to record highs, as investors seek companies that supply the infrastructure for AI workloads. Schneider's electrical and cooling equipment is essential for the data centers that train and run large AI models. Now, by adding Cognite's industrial AI software, Schneider can sell the complete package: the hardware that powers the physical world and the brain that runs it.
Blum emphasized the connection to the energy transition. 'The energy transition demands intelligence. Intelligence demands data. Unlocking that data requires AI,' he said. Schneider's traditional customers include utilities, oil and gas companies, and large manufacturers—all of which are under pressure to reduce emissions and improve efficiency. Cognite's software can help them achieve those goals by optimizing processes, reducing waste, and enabling predictive maintenance.
For Cognite, the acquisition provides access to Schneider's vast global customer base and distribution network. Cognite's CEO, who will continue to lead the unit under Aveva, described the deal as an opportunity to scale the platform faster than as an independent company. The financial terms also benefit Cognite's early backers. Aker, the Norwegian investment firm that helped found the company in 2017, expects to receive approximately $1.48 billion in cash proceeds, including the settlement of a convertible loan, according to reports.
A European bet on industrial AI
The deal comes at a time when Europe is striving to maintain a competitive edge in industrial AI. While the United States and China dominate consumer AI and large language models, Europe has a strong tradition in industrial automation and manufacturing. Companies like Siemens, ABB, and Schneider Electric are global leaders in factory automation, and they are increasingly integrating AI into their offerings.
Siemens, for example, has its own industrial AI initiatives, including the Xcelerator platform and partnerships with companies like NVIDIA. The competition between Schneider and Siemens for the shop-floor market is intensifying. By acquiring Cognite, Schneider leapfrogs software development that would have taken years to build internally. The move mirrors similar acquisitions in the tech industry, where large firms often buy innovative startups rather than develop competing products from scratch.
European policymakers have also been pushing for the region to become a leader in AI, particularly in industrial applications. France has invested heavily in AI research and startups, and Schneider Electric is the country's fourth-largest company by market value, worth about €165 billion. The Cognite acquisition is seen as a validation of the French and European tech ecosystem.
However, the deal is not without risks. Integration challenges are typical in large acquisitions, and folding Cognite into Aveva will require careful management of corporate cultures, product roadmaps, and customer relationships. Additionally, the industrial software market is crowded, with competitors like Palantir, Microsoft (with Azure Data Explorer), and numerous specialized startups all vying for the same data-layer opportunity. The regulatory landscape is also complex; the deal still needs clearance from competition authorities, and the companies expect completion within the coming quarters.
The road ahead
If the acquisition succeeds, Schneider Electric will be able to offer a unique value proposition: sell the hardware (electrical and automation equipment), provide the software platform (Aveva CONNECT enhanced with Cognite), and deliver AI agents that can autonomously manage operations. This end-to-end vision is compelling for industrial customers who want to reduce downtime, improve efficiency, and achieve sustainability goals.
Blum summed up the promise: 'We give our systems the ability to think, adapt, and act.' The proof, however, will come on real factory floors, oil rigs, and power substations. Once the deal closes and the integration begins, the slow work of aligning products, teams, and strategies will determine whether Schneider can truly claim the industrial data layer—and whether this $3.1 billion bet pays off.