KEYWORDS: Digital Twin, Artificial Intelligence, AI Factory, Operations, Data Governance, Manufacturing Execution Systems (MES)
Overview
AVEVA WORLD 2026 highlighted an evolution of the company’s Manufacturing Execution System (MES) portfolio, positioning MES as a critical bridge between plant-floor operations and enterprise-level industrial intelligence. The announcements and roadmap discussions indicate a clear transition from traditional, plant-centric MES deployments toward cloud-connected, modular, and analytics-driven MES architectures tightly integrated with the CONNECT platform.
The key themes emerging from the event include deeper integration of MES into the CONNECT ecosystem, expansion toward cloud-native and hybrid deployment models, the development of composable and model-driven MES approaches, and increasing alignment with AI, data operations, and industrial intelligence initiatives.
The MES-related announcements at AVEVA WORLD 2026 reflect a clear strategic transformation from traditional MES systems toward platform-integrated, data-driven, and cloud-enabled manufacturing execution architectures.
Context and Market View
MES Portfolio Evolution and Scope
AVEVA presented a broad and evolving MES portfolio that spans multiple functional domains, including batch and recipe management, core MES capabilities such as performance, operations, and quality management, model-driven MES, production management, and enterprise integration. These capabilities are increasingly unified through a hybrid MES approach that connects plant-level systems with cloud-based services in CONNECT.
The portfolio is complemented by additional applications such as Work Tasks and planning and scheduling through PlanetTogether, which has now transitioned into a co-sell offering. Collectively, this positions MES not as a standalone system, but as a central operational layer embedded within a broader industrial software stack.
A particularly important development is the evolution from model-driven MES toward composable MES, which introduces modular, reusable components that can be deployed across multiple sites. This approach reflects a broader industry trend toward flexibility and standardization, allowing organizations to scale MES implementations more efficiently while maintaining consistency.
Integration with CONNECT: A Shift to Cloud-Enabled MES
From an MES perspective, a major focus at AVEVA World 2026 appears to be the deeper integration of MES into the CONNECT platform. AVEVA is evolving MES beyond a traditional plant-level execution system by extending its capabilities into the cloud, enabling the structured publication of operational data - such as performance, quality, and production metrics - into CONNECT. This shift repositions MES as a key data provider within the broader industrial intelligence architecture, supporting enterprise-wide visibility, analytics, and decision making.
Current MES Cloud Integration releases (versions 8 and 8.1) allow data from multiple MES versions to be published into CONNECT, with approximately 80 percent of the MES data model already supported. Initially, the focus was on performance data, followed by operations and inventory, and most recently, quality data. This staged approach reflects a gradual expansion toward full data model coverage.
Looking ahead, AVEVA plans to enhance this integration significantly. The next version will consolidate the publisher and agent into a single component, expand asset and entity relationships, and include the ability to publish custom tables. This last capability is particularly important, as it enables customers to bring their own extensions and data models into the CONNECT environment.
From an analyst perspective, this represents a critical shift from MES as a transactional system to MES as a data platform contributor, feeding into enterprise-wide analytics and decision making.
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