Your quality director in Guadalajara pulls up the production dashboard on a Monday morning and sees green across every metric. Output targets met. Scrap rates within tolerance. Cycle times are holding steady. An hour later, the maintenance supervisor walks into her office with a clipboard showing three CNC machines flagged for bearing wear that nobody in the planning system knows about. The maintenance team logged the readings in their own condition monitoring software. The production system never received the data. By Wednesday, two of those machines are down, and the quality metrics from Monday no longer mean anything.
This is what happens when information technology (IT) and operational technology (OT) live in separate worlds within the same factory. The IT layer runs ERP, production planning, quality analytics, and business intelligence. The OT layer runs the machines, sensors, PLCs, and control systems that produce actual product. Both layers generate critical data. Neither layer, on its own, provides a complete picture of what’s happening on the shop floor. When those two data streams don’t converge, the factory operates on partial information and partial information leads to decisions that look correct until reality overrides them.
The missing piece is a single source of truth that sits between IT and OT, connecting business context to operational reality. That’s the role a Manufacturing Operations Management (MOM) platform is designed to fill. Not by replacing either IT or OT systems, but by creating a shared execution layer where data from both domains converges into one operational model that every stakeholder trusts.
What Is the IT-OT Divide and Why Does It Cause Manufacturing Data Silos?
The IT/OT divide isn’t a technology problem in the conventional sense. Both sides work. The divide is architectural. IT systems were designed top-down, built to handle business logic, financial transactions, and cross-enterprise data flows. OT systems were designed bottom-up, engineered for real-time machine control, process safety, and deterministic response times measured in milliseconds. The two domains evolved with different update cycles, security models, protocols and teams managing them.
A Deloitte survey of 600 manufacturing executives found that 92% view smart manufacturing as the primary driver of competitiveness over the next three years, with 80% planning to allocate at least 20% of their improvement budgets to smart manufacturing initiatives covering automation, analytics, sensors, and cloud computing. But every one of those investments requires data to flow between IT and OT layers. When the layers don’t share a common data model, each smart manufacturing initiative creates its own data pipeline, its own integration logic and its own version of the truth. Scale that pattern across a dozen projects and five facilities, and the result is a patchwork of integrations that nobody fully understands and everyone is afraid to touch.
The gap is widespread. Research cited in Dassault Systèmes’ analysis of IT-OT convergence in manufacturing found that 55% of organizations still manage IT and OT as separate functions. Meanwhile, an IDC study reported that only 30% of manufacturers can deliver real-time data to frontline workers. The operational consequence is predictable: decisions get made on lagging data, and the people closest to the process are the last to receive updated information.
Why Does the Gap Between Enterprise IT and Shop Floor OT Systems Persist?
Three structural forces keep IT and OT apart, even in organizations that recognize the problem.
Legacy OT infrastructure resists integration. Roughly half of manufacturing OT assets are 15 years old or older. These systems were designed for reliability and uptime, not for data sharing. They run proprietary protocols, lack standard APIs, and often can’t be updated without shutting down production. Connecting a 20-year-old PLC to a modern cloud analytics platform isn’t a configuration task. It’s an engineering project, and most manufacturers have hundreds of them.
Organizational boundaries mirror the technical divide. IT reports to the CIO. OT reports to the VP of manufacturing or plant operations. Their budgets are separate. Their vendor relationships are separate. Their success metrics are separate. IT measures uptime and data availability. OT measures throughput, quality, and equipment effectiveness. Without a shared execution layer that both sides use, convergence remains a strategy document rather than an operational reality.
Point-to-point integrations create fragile bridges. Many manufacturers have attempted IT/OT convergence through middleware, custom APIs, or data lakes that pull from both sides. These approaches move data between systems, but they don’t create a shared operational model. When a quality event occurs on the OT side, the IT system receives a data record hours later. The response is historical, not operational.
How Do MOM Platforms Serve as the IT-OT Convergence Layer for Factory Data?
As Mike Bradford, Director of Strategic Business Development for DELMIA at Dassault Systèmes, has explained: MOM doesn’t replace MES or ERP. It connects and extends them. MES systems tend to operate as plant-level applications, tracking execution within a single facility. MOM operates at the enterprise level, governing the larger footprint of manufacturing across every site. That framing is directly relevant to IT/OT convergence, because MOM sits at the exact boundary where business systems and operational systems need to share a common language.
A platform like DELMIA Apriso functions as this convergence layer. It connects upward to ERP and PLM systems, consuming business context like production orders, material requirements, and engineering specifications. It connects downward to equipment, sensors, and control systems, capturing real-time machine data, process parameters, and quality measurements. Between those two layers, DELMIA Apriso maintains a unified data model where production, quality, maintenance, materials, workforce, and warehouse operations share one architecture.
That unified model is the single source of truth. When a maintenance event registers in the OT layer, it’s immediately visible in the production schedule, the quality system, and the workforce plan. When a customer order changes in ERP, the updated requirements flow through to work instructions and material calls on the shop floor. Global Process Manager extends this convergence across facilities, enabling manufacturers to define process templates centrally and deploy them to every plant while allowing local configuration for equipment differences and regulatory requirements.
Virtual twin technology adds a forward-looking dimension to the single source of truth. Instead of reacting to IT/OT disconnects after they cause problems, manufacturers can simulate production scenarios against the unified data model, testing schedule changes, equipment reconfigurations, or material substitutions before committing to them on the live shop floor.
What Is the Business Case and ROI for Smart Manufacturing IT-OT Integration?
The MOM software market reached $13.7 billion in 2025 and is projected to grow to $26.9 billion by 2034, according to IMARC Group. Grand View Research estimated the market at $17.46 billion in 2024 with a 19.1% CAGR through 2033. The services segment is growing fastest because manufacturers are spending heavily on connecting systems that were built independently. That services growth is a direct measure of the IT/OT convergence challenge.
The workforce dimension makes platform-level convergence even more urgent. Deloitte projects the manufacturing sector will need approximately 3.8 million new workers between 2024 and 2033, with roughly half of those positions at risk of going unfilled. The experienced engineers and technicians who understood both the IT and OT sides of the operation, who knew which PLC data mattered for quality trending and which ERP fields drove shop floor scheduling, are retiring. A single source of truth embedded in a MOM platform preserves those relationships as system logic rather than personal expertise. Single source of truth.
Case Study: How Eaton Harmonized Production Across 10 Global Sites with DELMIA Apriso
Eaton, a global power management company with manufacturing operations spanning multiple continents, confronted the IT/OT convergence challenge at scale. Each factory ran its own production systems, its own data collection methods and its own operational workflows. The result was a familiar pattern: production decisions at individual plants were locally rational but globally uncoordinated. Scaling a process improvement from one facility to another required translating between systems that didn’t share data definitions, process structures, or quality standards.
EATON deployed DELMIA Apriso as a unified MOM platform to harmonize production processes across 10 global factories. The platform became the single source of truth connecting IT systems that managed orders and planning with OT systems that controlled equipment and captured process data. As an EATON representative described the result: “DELMIA is scalable because it allows us to communicate well with our systems.” That scalability, the ability to connect IT and OT layers consistently across a global manufacturing network, is the operational definition of convergence executed at production scale.
The deployment delivered transparency that had been impossible when each factory operated its own execution infrastructure. Real-time production decisions replaced retrospective reporting. Quality data and process data entered the same system at the same time, eliminating the reconciliation delays that plague fragmented IT/OT environments. EATON’s trajectory toward deploying across all 10 sites reflects the pattern: once a single source of truth exists at one facility, operating other plants on disconnected systems becomes an obvious liability.
How Can Mid-Market Manufacturers Unify IT and OT Operations Using DELMIAWorks?
IT/OT convergence is sometimes framed as an enterprise-only conversation, relevant only to manufacturers with dozens of plants and dedicated integration teams. It shouldn’t be. A mid-tier manufacturer with three facilities and 200 employees faces the same fundamental disconnect: the ERP system says one thing, the shop floor reality says another, and the gap between them gets bridged by people making phone calls and checking spreadsheets.
DELMIAWorks provides integrated MES and ERP capabilities for mid-market manufacturers, delivering the same single-source-of-truth principle in a platform built for their scale. Production data and business data share one model. When a purchase order changes, the shop floor knows. When a machine goes down, the schedule adjusts. The integration is native, not bolted on through middleware that someone has to maintain. For the mid-tier manufacturer, that native integration is the practical equivalent of the IT/OT convergence that enterprise platforms deliver through global MOM deployments.
Why a Unified MOM Platform Is Critical for Operational Continuity and Resilience
The IT/OT divide has survived decades of manufacturing technology investment because it’s structural, not incidental. IT and OT were designed for different purposes, managed by different teams, and governed by different priorities. Connecting them through point-to-point integrations and data lakes moves information between domains but doesn’t create a shared operational reality. Manufacturers end up with two versions of the truth: the business version from IT and the process version from OT. When those versions disagree, somebody makes a wrong decision.
A single source of truth eliminates that conflict. MOM platforms like DELMIA Apriso sit between IT and OT, creating a unified data model where business context and operational reality converge in real time. Every stakeholder, from the plant operator to the supply chain planner to the quality director, works from the same information. Changes propagate instantly across domains and across facilities. The manufacturers building this convergence layer today are the ones who will absorb the next disruption, the next product introduction, and the next regulatory change without discovering after the fact that their IT and OT systems were telling different stories.
DELMIA, from Dassault Systèmes, enables manufacturers to keep factory operations running smoothly. Powered by the 3DEXPERIENCE platform, our Manufacturing Operations Management (MOM) and Manufacturing Execution Systems (MES) solutions establish a unified digital environment that provides real-time visibility and AI-enhanced control. By connecting the virtual and real worlds, we enable you to streamline complex processes, minimize waste and guarantee quality. Harnessing data-driven insights and intelligent automation allows for optimized production, enhanced adaptability to disruptions and the delivery of sustainable, customer-focused manufacturing performance at scale.
Louis Columbus is currently serving as a member of the DELMIA Marketing team, where he assists with DELMIAWorks and robotics solutions. Previous positions include product management at Ingram Cloud, product marketing at iBASEt, Plex Systems, senior analyst at AMR Research (now Gartner), marketing and business development at Cincom Systems, Ingram Micro, a SaaS start-up and at hardware companies. Professional experience includes marketing, product management, sales and industry analyst roles in the enterprise software and IT industries. Columbus' academic background includes an MBA from Pepperdine University and completion of the Strategic Marketing Management and Digital Marketing Programs at the Stanford University Graduate School of Business. He teaches MBA courses in international business, global competitive strategies, international market research, and capstone courses in strategic planning and market research. Columbus has taught at California State University, Fullerton: University of California, Irvine; Marymount University, and Webster University.