Siemens and IFS collaborate to advance industrial AI for manufacturers
Siemens and IFS have formed a partnership to help manufacturers adopt AI for improved productivity and optimised operations.
The partnership brings together Siemens’ expertise in industrial AI, digital engineering, automation, and manufacturing execution with IFS’s capabilities in enterprise asset management, field service management, and industrial AI.
Together these companies will address one of manufacturing’s main challenges: the disconnect between how production systems are designed and how they perform in everyday operations.
By integrating engineering, operational, and maintenance data, Siemens and IFS aim to reduce unplanned downtime, improve asset performance, and strengthen supply chain resilience.
They will also develop comprehensive digital twins aided by Siemens’ engineering and manufacturing data, while IFS will provide its operational, maintenance, and service information.
Supporting predictive maintenance
The companies said this will create a continuous feedback loop between product design and real-world performance, enabling manufacturers to make faster, data-driven decisions throughout an asset’s lifecycle.
The integrated approach is expected to improve production planning, and help manufacturers respond more quickly to changing market conditions while extending the operational life of industrial assets.
“Industrial AI only delivers value when it is grounded in both engineering intent and real-world performance,” said Tony Hemmelgarn, President and Chief Executive Officer of Siemens Digital Industries Software.
“Together with IFS, we are bringing these domains together by connecting design, manufacturing and asset lifecycle data in a secure, contextualised data fabric,” Hemmelgarn said, adding, “By converging our combined strengths in industrial AI, we will empower our customers with our vision of an executable digital twin that will enable them to accelerate innovation with confidence.”
IFS Chief Executive Officer Mark Moffat said manufacturers are increasingly looking for AI solutions that can operate reliably in complex industrial environments, where safety, compliance, and operational continuity are critical.
“By combining our collective strengths in Industrial AI, we can help manufacturers close the loop between design and reality, and unlock real, measurable performance gains,” he said.
Enhancing interoperability
The announcement comes as manufacturers accelerate investments in digital transformation to improve efficiency, reduce costs, and strengthen resilience against supply chain disruptions.
According to industry analysts, industrial AI is becoming a key enabler of predictive maintenance, quality control, and production optimisation, allowing operators to extract greater value from existing assets while supporting sustainability goals through improved energy efficiency and reduced waste.
The partnership also reflects the growing convergence of information technology (IT) and operational technology (OT), as manufacturers increasingly seek integrated digital platforms, which can connect engineering with factory operations.
