Industrial Automation Moves Toward Hybrid Cloud and As-a-Service Models
The collaboration between Schneider Electric and Hewlett Packard Enterprise reflects a broader structural shift in industrial automation: the gradual alignment of operational technology (OT) with IT-style delivery models. Instead of relying solely on fixed-capital automation systems, the industry is now exploring software-defined and subscription-based approaches that emphasize flexibility, lifecycle management, and continuous updates.
At the center of this transition is the idea that control systems no longer need to be static assets. They can evolve as managed services running across hybrid environments, combining on-premise reliability with cloud-scale orchestration.
A Three-Layer Architecture for Modern Control Systems
The proposed Industrial Automation Modernisation as a Service model is structured around three main layers.
The foundation layer is built on HPE infrastructure, including compute, storage, and resilience technologies such as HPE SimpliVity, designed to support mission-critical workloads at industrial scale.
Above this sits a software-defined automation layer powered by EcoStruxure Automation Expert from Schneider Electric, enabling deployment and orchestration of control logic across heterogeneous environments.
The top layer focuses on lifecycle services—migration support, cybersecurity, managed operations, and continuous optimization—effectively turning automation into an operational service rather than a one-time deployment.
Hybrid Cloud as the Bridge Between Edge and Enterprise
One of the most significant architectural shifts in this model is the normalization of hybrid cloud in industrial control environments. Traditionally, PLCs and DCS platforms were tightly bound to physical plants. Now, workloads can be distributed across edge devices, private cloud infrastructure, and centralized management systems.
This approach reduces fragmentation of operational data and enables more consistent control strategies across multiple sites. It also introduces a new operational paradigm where latency-sensitive control remains at the edge, while analytics, simulation, and optimization move closer to cloud environments.
In practice, this creates a more unified industrial data model—but also increases the importance of network resilience and deterministic performance guarantees.
Open Standards and the Push Against Vendor Lock-In
A key strategic message behind this initiative is interoperability. Both companies are active contributors to UniversalAutomation.org and supporters of the IEC 61499 standard IEC 61499, which promotes modular, portable, and event-driven automation software.
The intention is to decouple automation logic from proprietary hardware, allowing applications to move more freely across systems and vendors.
However, in real-world deployments, true openness often depends on how widely standards are adopted by integrators and how consistently vendors implement them. Standardization reduces lock-in risk, but it does not eliminate ecosystem gravity.
From CapEx to OpEx: Redefining Industrial Investment Models
One of the most disruptive aspects of this shift is financial rather than technical. Moving automation infrastructure from capital expenditure (CapEx) to operational expenditure (OpEx) fundamentally changes procurement behavior in industrial environments.
Instead of large upfront investments that risk technological obsolescence, organizations consume automation as an evolving service. This enables faster modernization cycles, but also introduces long-term dependency on service providers and contractual frameworks.
Energy efficiency claims—such as reductions of up to 40% in intensive operations—highlight another driver: sustainability optimization embedded directly into control infrastructure.
Industry Insight: The Real Challenge Is Cultural, Not Technical
From an engineering standpoint, the technology stack is increasingly feasible. Hybrid cloud infrastructure, containerized control logic, and software-defined automation are already proven in adjacent IT domains.
The real friction lies in operational culture. Many plants still rely on deterministic, hardware-centric thinking where stability outweighs flexibility. Introducing continuous updates and cloud-managed control layers requires a shift in risk tolerance, validation processes, and workforce skills.
In practice, the success of platforms like EcoStruxure Automation Expert will depend less on architecture and more on how effectively organizations retrain engineers and redefine safety governance for software-driven control systems.
Conclusion
The partnership between Schneider Electric and Hewlett Packard Enterprise signals a clear direction for industrial automation: convergence with hybrid cloud principles, modular software-defined control, and service-based delivery models. While the technical foundation is strong, the transition will be gradual, shaped by interoperability maturity, operational trust, and industry readiness for continuous change.
