For years, the MES conversation was relatively stable. A Manufacturing Execution System was understood as the layer between ERP planning and machine-level production, responsible for dispatching orders, collecting shopfloor data, ensuring traceability, and enforcing process execution. That role remains important, but it is no longer sufficient to describe what advanced manufacturers now need.
In 2025 and 2026, the more interesting shift is from pure execution software toward manufacturing operations orchestration: a model in which production, warehouse, quality, scheduling, documents, and human decisions are coordinated in a more dynamic and connected way. Analyst commentary and enterprise vendors alike are increasingly describing manufacturing competitiveness in terms of agility, data integration, and AI-enabled operations rather than isolated system categories. Deloitte's 2026 outlook points to smart manufacturing and operations as a key investment area, and ABI Research highlights the urgency to implement AI across manufacturing operations while extracting more value from industrial data.
Why now?
Factories are dealing with more volatility than the classic MES model was designed for. Product mixes are changing faster. Customer expectations are tighter. Planning disruptions are more frequent. Labor shortages continue to pressure operational consistency. And companies are sitting on more data than ever, but often without a reliable way to turn that data into coordinated action.
A traditional MES can show where a deviation occurred. It may not help decide what to do next across departments. Yet this "what now?" question is exactly what operations teams face every day: a delayed semi-finished component, a missing pallet, a machine slowdown, a quality hold, a mismatch between order promise and capacity, a rush request from sales. The value now sits in orchestration.
What orchestration actually means
Orchestration means the system does not only record transactions. It helps connect events across processes. A production delay can affect scheduling priorities, material staging, labor allocation, and customer commitments. A warehouse shortage can alter line sequencing. A quality alert may need to trigger document checks, supplier traceability, and alternative routing.
These cross-functional effects are where manufacturing software is heading. Reuters' reporting on Oracle's move to "agentic apps" is a useful signal from the broader enterprise software market: software vendors increasingly want users to ask for an outcome and let the system coordinate the steps behind it. In manufacturing, that same logic can be applied to operational problems.
MES as one component, not the whole stack
This does not mean MES disappears. It means MES becomes one component in a wider operational stack. The execution record still matters. The genealogy still matters. Machine connectivity still matters. But manufacturers also need layers that can combine execution data with planning rules, warehouse status, document extraction, AI assistance, and human approvals.
Microsoft's recent industrial AI positioning, Siemens' digital factory demonstrations, and McKinsey's operations guidance all converge on the same direction: the future is less about isolated software modules and more about connected decision systems that help frontline teams act faster and with better context.
New evaluation criteria for software buyers
For software buyers, this changes evaluation criteria. The question is no longer only: "Does the MES capture production correctly?" The better question is: "Can our operational stack coordinate exceptions, decisions, and next-best actions across functions?" Platforms that can expose workflows, integrate easily, consume structured and unstructured inputs, and support AI-assisted reasoning will have an advantage over systems that only preserve a rigid transaction logic.
This is especially true for SMEs and mid-sized manufacturers, which often need flexibility more than monolithic transformation programs.
From monitoring to responsive coordination
Operations excellence is becoming less about monitoring and more about responsive coordination. Manufacturing software is moving from static layers to living operational systems. The winners will be the companies that do not merely digitize processes, but orchestrate them.