Siemens named a leader in manufacturing execution systems

(See Siemens at Machine Building North, 10 April 2025, on stand 50)

"The recognition of Siemens as a Manufacturing Execution System leader in the IDC MarketScape report, we believe, highlights our fast pace of innovation to provide our customers with world class integrated Manufacturing Execution Systems technology," said Tobias Lange, Senior Vice President Manufacturing Operations Management, Digital Manufacturing, Siemens Digital Industries Software.

"Our continued commitment to delivering open, configurable, easily deployable and inherently scalable software is truly benefitting customers across the globe."

Opcenter is Siemens' software for MES, and with support for multi-plant architectures, it reduces the burden on regional IT teams and helps to lower overall Total Cost of Ownership (TCO). It seamlessly integrates with solutions from the Siemens Xcelerator portfolio of industrial software, including Teamcenter software for Product Lifecycle Management, Simcenter software for simulation, Insights Hub for data analytics, AX4 and Supply Chain Suite, and Tecnomatix software for factory simulation to bring new levels of agility and productivity to the shop floor.

To address the growing complexity of product and process management, disruptive technologies, supply chain volatility, and tightening margins, Siemens has introduced Opcenter X to empower small and medium businesses to embark on a progressive digital transformation journey through cloud technologies and accessing as software as a service (SaaS), which lowers the time and cost barriers for organizations to adopt MOM capabilities.

"The need for shop floor processes to coordinate with rapidly evolving value chains requires that MES work seamlessly with other enterprise and manufacturing-focused applications to ensure visibility from the shop floor to the top floor," said Lorenzo Veronesi, Associate Research Director, IDC Manufacturing Insights. "Innovation drivers such as cloud computing, edge analytics, the Industrial Internet of Things (IIoT), and artificial intelligence (AI), is significantly influencing the development of MES."