Skip to content
MarketScale
‹ Back to IndustriesIndustrial IoT

93% of manufacturers have MES, but only 23% have fully integrated it across the enterprise

A report by Rockwell Automation reveals that while 93% of manufacturers have adopted Manufacturing Execution Systems (MES), only 23% have fully integrated these systems enterprise-wide. This discrepancy highlights a challenge in achieving full digital transformation across the manufacturing sector.

This story was produced through MarketScale. See how Industrial IoT teams put it to work with AI Visibility (GEO).

By MarketScale Newsroom · Rockwell AutomationMesManufacturing Execution SystemsDigital Transformation
Share
Learn this in 60 seconds

Key facts, context, and what it means, in one minute.

:60
0:001:00
93% of manufacturers have MES, but only 23% have fully integrated it across the enterprise

Key takeaways

01

Manufacturing Execution Systems (MES) have been adopted by 93% of manufacturers.

02

Only 23% of manufacturers have fully integrated MES across their enterprise.

03

Enterprise-wide integration of MES is essential for complete digital transformation in manufacturing.

Nearly every manufacturer on the planet has a manufacturing execution system. Almost none of them have it working the way it should. That is the central finding of Rockwell Automation's 'Scaling MES Across the Enterprise' report, released July 14, 2026, which surveyed 1,560 manufacturing and industrial operations decision-makers across 17 countries. The numbers are stark: 93% of respondents have MES running in at least one facility, yet only 28% have deployed it enterprise-wide, and just 23% report full integration across ERP, PLM, quality, and operational technology systems, according to PR Newswire.

The integration gap that's costing manufacturers real value

MES was built to do one job: monitor, track, document, and control the conversion of raw materials into finished goods on the factory floor. But the role of these systems has expanded well beyond production tracking, now covering quality management, worker productivity, and supply chain forecasting. That expanded scope makes the integration gap more expensive to ignore.

Integration ranks as the top MES buying requirement, cited by 44% of manufacturers surveyed, according to PR Newswire. It also tops the list of modernization challenges, with 33% identifying MES as their single biggest data integration problem. The result is a circular trap: manufacturers need integration to get full value from MES, but integration is the obstacle they cannot clear.

The same problem blocking MES purchases is also the one preventing manufacturers from getting value out of the systems they already own.

Manufacturing Dive's coverage of the report notes that these patchwork, disconnected systems have become one of the industry's defining challenges, particularly as AI adoption accelerates and cyber risk grows. Manufacturers are not starting from zero; they are trying to rationalize an infrastructure built incrementally, site by site, over years.

AI ambitions require a data foundation most manufacturers don't yet have

The AI stakes are high. Rockwell's research finds manufacturers expect 42% of processes to be AI-supported within the next year, rising to 54% by 2030, according to PR Newswire. Those projections assume a clean, connected data layer that feeds machine learning models with reliable, real-time inputs. But 43% of manufacturers acknowledge they are not effectively using the data they already collect, meaning the AI roadmap and the data reality are on a collision course.

MES deployment vs. integration maturity (% of manufacturers)93Have MES in at least onefacility28Deployed MES enterprise-wide23Fully integrated across ERP,PLM, OT
Rockwell Automation / PR Newswire · © MarketScaleDownload chart

The gap between ambition and readiness is not theoretical. AI models trained on fragmented or siloed data produce unreliable outputs. For a VP of operations or a plant manager relying on AI-driven quality alerts or predictive maintenance recommendations, that unreliability is an operational risk, not an IT abstraction. Getting MES data flowing cleanly across every site is a prerequisite, not a follow-on project.

Cybersecurity is now a procurement requirement, not just an IT concern

The security picture adds urgency. Forty-six percent of manufacturers reported experiencing a cyber incident in the past year, according to Rockwell's report. Security and compliance have consequently become the second-highest MES buying requirement, cited by 43% of respondents. That figure signals a shift: cybersecurity has moved from the IT checklist to the procurement specification, and MES vendors that cannot demonstrate compliance coverage are increasingly disqualified before any demo.

The exposure surface grows with every disconnected system. An MES that sits isolated from the broader enterprise architecture is also one that may lack the visibility and access controls needed to detect or contain a breach. Full integration, in other words, is not just a performance issue; it is a security architecture issue.

What scaling actually looks like in practice

Kumi North America, a Tier 1 automotive supplier focused on injection-molded interior plastics, offers a concrete example of phased MES expansion. The company initially deployed Rockwell's Plex platform in 2008 and has since rolled it out across facilities in the United States and Canada, most recently adding Plex MES Automation and Orchestration capabilities, according to PR Newswire. The company's assistant vice president of systems, Paul Andrews, told PR Newswire that before Plex, operations struggled to synchronize and some locations had no software at all.

IDC Associate Research Director Lorenzo Veronesi, whose firm contributed context to the report, told PR Newswire that organizations disconnected systems and underutilized data risk leaving significant value on the table if the integration gap goes unaddressed. The framing matters: the value destruction is not future or hypothetical. It is happening now, in facilities where MES data is not reaching ERP or quality systems and decisions are being made on incomplete information.

Disconnected MES data isn't just an IT headache; it's a quality, productivity, and security liability that compounds with every facility that stays siloed.

Rockwell's own framing, offered by Vice President of Product Management Anthony Murphy in the company's press release, positions the next competitive frontier as coordination rather than capability. Manufacturers with the same tools but better connectivity are outperforming peers who are still operating in silos. The full 'Scaling MES Across the Enterprise' report, including recommended steps for closing the deployment-to-scale gap, is available on Rockwell Automation's website.

Featured companies

About the author

MarketScale Newsroom
MarketScale NewsroomEditorial Team, MarketScale

The MarketScale Newsroom reports on the companies, technologies, and trends shaping 16 B2B industries. It turns primary sources and expert commentary into clear, useful coverage for the people doing the work.

Industrial IoT: are you visible to AI?

Before they reach out, Industrial IoT buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one Industrial IoT expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's Industrial IoT expertise into the articles, video, and social content B2B marketing buyers in your industry are searching for. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Industrial IoT Insights

AI kaizens, agentic systems, and pricing pressure: what manufacturers are actually doing with IIoT in 2026

AI kaizens, agentic systems, and pricing pressure: what manufacturers are actually doing with IIoT in 2026

The industrial sector is transitioning its use of AI from pilot programs to operational applications, particularly on the plant floor. Companies are exploring AI-driven kaizens, agentic systems, and are debating outcome-based pricing models as part of their industrial IoT strategies. This shift indicates a move towards integrating AI technology more deeply into manufacturing processes by 2026.

  • 01Industrial AI is shifting from pilot projects to operational use in manufacturing facilities.
  • 02Outcome-based pricing models are being debated within the industrial AI sector.
  • 03AI-driven kaizens and agentic systems are being utilized in industrial IoT strategies.

Jul 24, 2026

Industrial manufacturing M&A hits $173 billion as convergence deals crowd out single-theme bets

Industrial manufacturing M&A hits $173 billion as convergence deals crowd out single-theme bets

The industrial manufacturing M&A sector has reached $173 billion, with a 28% increase year-over-year. Mega-deals and strategic buyers are the primary drivers of this surge, as reported by PwC in their 2026 midyear outlook. The focus on convergence deals is overshadowing single-theme investments in the industry.

  • 01Industrial manufacturing M&A has surged to $173 billion.
  • 02There is a 28% year-over-year increase in industrial M&A activity.
  • 03Convergence deals are becoming more prevalent, overshadowing single-theme investments.

Jul 23, 2026

Most mid-sized manufacturers are stuck in AI pilot purgatory, Kaufman Rossin research finds

Most mid-sized manufacturers are stuck in AI pilot purgatory, Kaufman Rossin research finds

A significant majority of mid-sized manufacturing companies are still in the testing phase of AI deployment, with 73% unable to achieve full operational status. Kaufman Rossin's research indicates that these companies are facing challenges in moving beyond pilot programs. The lack of full AI integration is a common issue across the sector.

  • 0173% of manufacturing companies are still in the AI testing phase.
  • 02No mid-sized manufacturer has fully deployed AI operationally.
  • 03Many manufacturers are unable to progress beyond pilot AI programs.

Jul 23, 2026

Explore More Industrial IoT Insights

Read more expert perspectives from across Industrial IoT.

Browse Industrial IoT Hub

About the Expert

MarketScale Newsroom
MarketScale Newsroom

Editorial Team

MarketScale

The MarketScale Newsroom reports on the companies, technologies, and trends shaping 16 B2B industries. It turns primary sources and expert commentary into clear, useful coverage for the people doing the work.

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Industrial IoT and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512