Siemens Digital Industrial Software was recently named a leading MES vendor in the "2024-20251 Global Manufacturing Execution System Supplier Report" released by IDC MarketScape, which provides a comprehensive evaluation of MES software vendors in the manufacturing industry.
Tobias Lange, Senior Vice President of Manufacturing Operations Management at Siemens Digital Industrial Software Digital Manufacturing Division, said, "IDC MarketScape's recognition of Siemens in the MES field further highlights Siemens' innovative pace in providing world-class MES integration technology to customers. We will continue to strive to create open, configurable, and easy to deploy software to help industry customers around the world continue to create value
Overview of Siemens Opcenter
Opcenter is Siemens' MES software that supports multi factory architecture, helping to alleviate the burden on regional IT teams and reduce total cost of ownership (TCO). Opcenter can seamlessly integrate with other industrial software solutions from Siemens Xcelerator, including Teamcenter for product lifecycle management ®, Simcenter for simulation ™ Software, Insights Hub for data analysis, AX4 and supply chain suite, as well as Tecnomatix to help factories improve agility and productivity ®.
In response to the increasingly complex product and process management, constantly upgrading technology, supply chain fluctuations, and profit margin pressures, Siemens has also launched Opcenter X, enabling small and medium-sized enterprises to embark on a digital transformation journey through SaaS, reducing the time and cost of deploying Manufacturing Operations Management (MOM) software for enterprises.
Lorenzo Veronesi, Deputy Research Director at IDC Manufacturing Insights, said, "Factory processes need to be coordinated with the rapidly evolving value chain. MES needs to seamlessly collaborate with other enterprise and manufacturing applications to achieve visibility from the factory building to within the enterprise. The driving factors of innovation such as cloud computing, edge analytics, Industrial Internet of Things (IIoT), and artificial intelligence (AI) have undoubtedly injected strong impetus into the development of MES