EU industrials diverge on AI strategies

Large European industrial conglomerates are intensifying their focus on artificial intelligence deployed on the factory floor. Companies such as Siemens (SIEd), ABB and Schneider Electric are working to convert extensive stores of production data into commercial AI solutions that can improve automation and efficiency. This strategy is framed as a way for Europe to compete in factory automation at a time when China is seen as leading on robot installations. The emphasis is on industrial data and operational processes rather than consumer‑facing AI applications.

These groups aim to embed AI directly into equipment, control systems and production workflows. By harnessing proprietary data generated by decades of manufacturing activity, they seek to refine predictive maintenance, process optimisation and energy management. The push reflects expectations that industrial AI will become a key driver of competitiveness for advanced manufacturing regions.

On 17 October 2026, Schneider Electric raised its 2026 profit and revenue targets again. The company linked the upgraded guidance to triple‑digit growth in data‑centre orders, underscoring strong demand for power and automation infrastructure that can support AI‑related computing loads. Schneider reported a record quarter, with quarterly revenue cited in some reports at €11.5 billion.

The performance highlights how AI infrastructure is translating into tangible order growth for industrial suppliers. Data centres require advanced power distribution, cooling and automation solutions, areas in which Schneider is a major provider. The company’s revised 2026 ambitions suggest it expects these trends to persist over the medium term.

Alongside its guidance increase, Schneider Electric announced a major acquisition of US software company PTC (PTC). Press reports describe the agreed purchase price as about $22.6 billion in some accounts and roughly $24 billion in others. The deal is presented as a significant step in building an end‑to‑end industrial software and AI offering.

By combining engineering and operational data within a unified software environment, Schneider aims to deepen its capabilities in areas such as digital twins, industrial IoT and AI‑driven analytics. The planned PTC (PTC) transaction marks one of the largest software‑focused moves by a European industrial heavyweight in the current AI investment cycle.

While Schneider is advancing via a large external software acquisition, other European industrial groups are pursuing different approaches. Siemens (SIEd) and ABB are also targeting factory automation and industrial AI, but with varying balances between hardware, in‑house software and ecosystem partnerships. Collectively, these strategies underline that there is no single model for capturing value from industrial AI.

The common thread is the attempt to monetise proprietary production data and integrate AI more tightly with physical equipment and control systems. This contrasts with the focus on large language models that characterises many US and Chinese technology players, and reflects Europe’s strengths in industrial engineering and automation.

At the policy level, EU initiatives are described as aiming to accelerate applied industrial AI through dedicated infrastructure. Plans reference a network of “AI factories” that would support development and deployment of industrial AI applications. Proposals for larger “AI gigafactories” are also highlighted as part of efforts to scale the necessary computing and data resources.

These initiatives align with the strategies of Europe’s industrial conglomerates by seeking to provide shared platforms and resources for industrial‑grade AI. The combination of corporate investment, large‑scale transactions such as Schneider’s planned PTC purchase, and EU‑backed infrastructure projects indicates a coordinated push to secure a position in the next phase of factory automation.