Schneider Electric, the French energy management and automation giant, announced on June 30, 2026, that it has agreed to acquire Cognite, a Norwegian-founded industrial artificial intelligence company, for $3.1 billion in cash. The all-cash deal underscores Schneider's ambition to embed advanced AI capabilities into its industrial software ecosystem, particularly through its Aveva subsidiary. Cognite builds software that ingests messy, siloed industrial data and enables AI agents to act on it—transforming how factories, power plants, and other asset-heavy operations run.
“Cognite has built something rare, a truly industrial grade AI platform,” said Schneider Electric’s chief executive Olivier Blum in a statement. He framed the acquisition as a way to put Schneider “at the centre of the next phase of industrial intelligence.” The move reflects a broader shift in industrial AI: from merely describing what happens inside a plant—flagging a fault or charting output—to actively deciding and acting. Schneider wants to own that transition.
What Cognite brings
Cognite was founded in 2017 by a group of engineers and entrepreneurs, including former executives from oil and gas giant Aker. The company now employs more than 800 people across the Americas, Europe, the Middle East, and Asia-Pacific. Its core platform combines a unified data model and a knowledge graph with newer agentic AI tools. In plain terms, it cleans, contextualizes, and connects the vast streams of data pouring off industrial machinery. AI agents then run analysis and automate workflows on top of that data.
Two flagship products sit at the heart of Cognite’s offering. Data Fusion handles the notoriously difficult job of modelling and contextualising engineering and operational data from disparate sources—such as sensors, SCADA systems, and maintenance logs. Atlas AI adds a generative and agentic layer that automates tasks and speeds up decision-making. For example, on a factory floor, an AI agent might spot a failing pump, order a replacement part from an inventory system, and schedule the repair, all with a human signing off at the end. Schneider plans to bind both products tightly to Aveva’s CONNECT platform, the Cambridge-based software unit it already owns. The goal is a single system that spans the design, operation, and optimisation of industrial assets throughout their lifecycle.
Cognite has aimed its tools at asset-heavy industries such as oil and gas, power generation, chemicals, and manufacturing. These sectors sit on decades of operational data they have rarely used effectively. The company’s pitch turns that historical backlog into a rich dataset that an AI agent can read and act on. The same market draws competition from data-software firms such as Palantir Technologies, which offers its Foundry platform for industrial data integration. The race for the industrial data layer is becoming increasingly crowded, but Cognite’s deep domain expertise in energy and heavy industry gives it a differentiated position.
The business is growing rapidly. Cognite’s revenue passed $170 million in 2025, and its recurring bookings rose 36 per cent year over year. Norway’s Aker, the investment firm that helped start the company in 2017 and remains a major shareholder, expects to receive about $1.48 billion in cash proceeds from the sale, including the settlement of a convertible loan, according to Bloomberg. That return underscores the value Aker saw in building a pure-play industrial AI company from scratch.
A European bet on the factory floor
The deal lands squarely in the middle of a wider European push to industrialise AI. Manufacturers across the region are adding AI to their plants to lift efficiency, cut waste, and respond faster to market changes. Schneider’s rival Siemens is chasing the same shop-floor market with its own industrial AI offerings, such as Siemens Xcelerator. For Europe, industrial AI remains one of the few technology domains where the continent still holds an edge over the United States and China. Firms are racing to defend that advantage.
Olivier Blum tied the logic of the acquisition directly to the energy transition. “The energy transition demands intelligence,” he argued, “intelligence demands data, and unlocking that data demands AI.” Schneider sells the hardware that runs the physical world—from circuit breakers to industrial controllers to data centre cooling equipment. Cognite gives it the software to make that hardware smarter, enabling predictive maintenance, real-time optimisation, and autonomous decision-making.
Schneider also counts as a quiet winner of the broader AI boom. Its shares have climbed 26 per cent in the past year to record highs, as investors back companies that supply the infrastructure underpinning AI—especially data centres. Schneider sells energy management and cooling kit to the data centres that train and run large AI models. That business is growing fast, particularly in markets such as India, where data centre investment is surging. Buying Cognite is the next logical step: rather than building an industrial AI platform from scratch, Schneider does what many large firms now do and snaps up a company that already has a proven one.
France has pushed hard to grow its own AI sector, from startup funding to state-sponsored supercomputing projects. Schneider, as the country’s fourth-largest company by market capitalisation (worth about €165 billion), is a key player in that national effort. The Cognite acquisition will bring a significant industrial AI capability into the French ecosystem, though the target’s Norwegian roots and global footprint will remain.
The catch
The deal has not yet closed. It still requires regulatory clearance from competition authorities and will likely take several quarters to complete. Industrial software remains a crowded field, with offerings from Siemens, ABB, Honeywell, and Palantir all vying for the same customers. European software investors are watching closely to see which platforms win the battle for the factory floor. Schneider is betting that whoever controls the data layer—the layer that connects raw machine data to AI models—will ultimately control the factory.
If the bet works, Schneider gets to sell both the hardware and the brain that runs it. “We give them the ability to think, adapt, and act,” Blum said of the company’s systems. The promise is large: a world where industrial assets not only report their status but also schedule their own maintenance, reroute energy flows during peak demand, and continuously optimise production with minimal human intervention. The proof will come on real factory floors and in power grids, once the deal closes and the slow, methodical work of folding Cognite into Aveva begins. Integration will be key—combining cultures, technologies, and customer bases without losing the agility that made Cognite successful in the first place.
The broader context is a global race to apply AI to the physical economy. While much of the AI conversation has focused on large language models and generative AI for knowledge workers, the industrial sector represents a massive untapped opportunity. Factories, power plants, refineries, and mines generate petabytes of data that have historically been underutilized. Companies that can crack that nut stand to capture significant value. Schneider’s $3.1 billion bet on Cognite is a clear signal that the industrial data layer is where the next wave of AI value will be created.
For now, Cognite’s existing customers—including major oil and gas companies, utilities, and manufacturers—can expect continuity, as Schneider has indicated it will continue to support Cognite’s standalone products while integrating them into Aveva’s platform. The acquisition also brings a strong talent base, especially in data engineering and industrial AI research. Cognite has deep roots in Norway’s thriving tech scene, and Schneider will likely retain the Oslo office as a centre of excellence.
As the regulatory process unfolds, the industrial AI landscape will continue to evolve. Schneider’s move raises the stakes for competitors and could trigger further consolidation in the sector. The bottom line is clear: industrial AI is no longer a niche experiment. It is a strategic priority for the world’s largest industrial companies, and the race to own the digital brain of the factory is on.