Gartner chooses AVEVA as leader in Magic Quadrant

AVEVA announced that Gartner has positioned its AVEVA Manufacturing Execution System as a Leader in its 2022 Magic Quadrant for Manufacturing Execution Systems (MES). AVEVA has been recognised in the Leaders quadrant for the third year in a row. 

The assessment was based on a set of criteria that looked at the company’s overall strategy and ability to execute. The whole report can be downloaded for free from AVEVA’s website at https://engage.aveva.com/gartner-magic-quadrant-manufacturing-execution-systems.html.

“Our positioning in the Magic Quadrant for Manufacturing Execution Systems by Gartner for the third consecutive year validates our ability to help customers gain exceptional value from their manufacturing systems and investments. In the post-pandemic business landscape, manufacturers’ ability to operate in an agile and resilient way in the face of massive and unpredictable disruptions to demand and supply networks is key,” said Rob McGreevy, Executive Vice President of Operations Business, AVEVA.

 He added, “We continue to leverage the latest technology (both on premise and in the cloud) to enable the optimization and integration of business planning and manufacturing execution into a single digital pane”.

In the report, “Gartner defines manufacturing execution systems (MES) as a specialist class of production-oriented software that manages, monitors and synchronizes the execution of real-time physical processes involved in transforming raw materials into intermediate and/or finished goods.”

By digitising processes, standardising best practises, KPIs, and reporting across manufacturing networks, AVEVA’s model-driven Manufacturing Execution System methodology is well positioned to speed the digital transformation of manufacturing operations. As a result, workers, consumers, and supply chain planners have complete visibility and traceability both in the plant and throughout multi-site manufacturing activities. When used in conjunction with AVEVA Operations Control, it allows for the creation of a digital twin of the plant and its processes, which can help improve plant productivity and throughput by up to 10%, reduce energy consumption by up to 16%, and eliminate up to 25% of waste, resulting in more efficient and sustainable manufacturing operations.