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How Digital Twins Are Transforming Maintenance Operations in European Industrial Plants

Digital twins are changing the way European manufacturers handle maintenance. From asset simulation to predictive diagnostics, digital twin technology is helping plants drive uptime, reduce costs, and meet sustainability targets.
Digital Twins Maintenance In Europe’s Plants

Europe Maintenance, Repair, and Operations Market Size - Outlook Report, Forecast Trends and Growth Analysis (2026-2035)

How Digital Twins Are Revamping Maintenance Work in European Industrial Sites?

The European industrial complexes' maintenance department is moving away from repair-on-demand and generic checklists. With factories in automotive and aerospace industries adopting Industry 4.0 philosophies, one innovation that stands out as a game-changer is the digital twin technology.

Digital twins, virtual replica of physical equipment or system, are rapidly emerging as the solution to Maintenance, Repair and Operations (MRO) strategy. From simulating the performance of a robotic arm on an automotive assembly line to monitoring the thermal efficiency of a food processing boiler, these technologies are allowing engineers to see, foresee and optimise asset health in innovative ways.

From Static Schedules to Dynamic Decision-Making

Maintenance schedules in traditional configurations were determined from OEM recommendations or historical breakdowns. These tend to be out of date or overly conservative. In contract, digital twins offer real-time visibility into asset condition and allow data-driven, condition-based maintenance.

In one Danish manufacturing plant, a digital twin of its own bottling line allows engineers to simulate wear and stress on mechanical components. Rather than swapping them out on a predetermined schedule, they only act now when thresholds are crossed—saving thousands of dollars a year in unnecessary part replacements.

Engineers often use digital twin technology to simulate wear and stress on mechanical parts. Rather than replacing components on a set schedule, these technologies highlight only when performance thresholds are exceeded, saving costs by avoiding unnecessary part replacements.

Predictive Diagnostics at Scale

The true value of a digital twin technology is in the predictive information it releases. When combined with machine learning and AI, digital twins can simulate the way a system will react under different circumstances and forecast failures before they occur.

To illustrate, German aerospace companies are duplicating their critical engine test stands as digital twins. The twin models identify minute deviation in motor behaviour that would otherwise be missed in conventional SCADA environments, warning engineers several weeks before a component fails.

Predictive diagnostics such as these are enabling companies to minimise unplanned downtime, increase asset life cycles, and design more intelligent spare parts stocking strategy, all core pain points of European MRO operations.

Driving Maintenance Sustainability Through Simulation

Digital twins are also underpinning Europe's manufacturing industry's sustainability drive. Energy-consuming assets such as compressors, chillers, and heat exchangers can be simulated for thermal efficiency, leakage identification, and power draw optimisation.

Companies are reducing energy consumption after using a digital twin prior to implementing physical upgrades. The adjustments are often subtle but cumulative and usually save considerable amounts of energy, demonstrating that sustainability and smart maintenance go hand in hand.

Simulation also helps facilities avoid costly trial-and-error with physical assets, resulting in fewer material wastes, extended machine life, and better alignment with EU green targets.

Digital Twins Are Enabling Remote Maintenance Support

Post-pandemic, hybrid facility management has become the norm. Manufacturing plants now rely on remote diagnostics and off-site service support. Digital twins make this model more efficient by allowing remote teams to interact with live asset data, test what-if scenarios, and offer solutions without ever being on-site.

For example, packaging firms use digital twins to share asset data with OEMs in real-time. The OEMs can then run diagnostics remotely and ship only the required replacement parts, reducing shipping emissions and improving first-time-fix rates.

This not only enhances service quality but also builds trust between vendors and plant operators, creating a more collaborative MRO ecosystem.

Integration With CMMS and ERP Systems Is Key

While digital twins are powerful on their own, their real impact is realised when integrated with Computerised Maintenance Management Systems (CMMS) and ERP platforms. This connection helps maintenance teams align digital diagnostics with work orders, inventory, procurement, and compliance documentation.

For instance, a pharmaceutical site in Ireland uses digital twins integrated with its CMMS to automatically generate work orders when pump vibration data exceeds set thresholds. This closes the loop between insight and action, reducing human error and improving response speed. Such integration also makes it easier to support audits, ESG reporting, and ISO standards, by keeping all relevant documentation traceable and time-stamped.

To explore digital maintenance trends and vendor landscapes, access our Europe Maintenance, Repair and Operations Market

Digital Twin Technology as the Pillar for Maintenance Strategy

Digital twins are now reshaping how maintenance is planned, executed, and refined across European industries. They offer a pathway to predictive diagnostics, resource optimisation, and sustainability, while aligning maintenance operations with broader business outcomes.

As asset complexity grows and expectations rise around uptime, cost-efficiency, and compliance, facility managers and plant engineers will increasingly lean on digital twins to drive decisions. The question for most European manufacturers is no longer whether to implement a digital twin, but how fast they can scale it before competitors get ahead.

About The Author

Neha Gawande

Neha is an experienced market intelligence professional with more than 5 years of expertise in conducting research across various industries, such as food and beverage, automotive, construction, and agriculture, among others. She specializes in primary research with industry experts, secondary research, and report writing. Neha has a strong expertise in supply chain analysis and competitive analysis, including Porter's Five Forces model and market share analysis.

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30 North Gould Street, Sheridan, WY 82801

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63 Fiona Drive, Tamworth, NSW

+61-448-061-727

C130 Sector 2 Noida, Uttar Pradesh 201301

+91-723-689-1189

40th Floor, PBCom Tower, 6795 Ayala Avenue Cor V.A Rufino St. Makati City, 1226.

+63-287-899-028, +63-967-048-3306

6 Gardner Place, Becketts Close, Feltham TW14 0BX, Greater London

+44-753-713-2163

193/26/4 St.no.6, Ward Binh Hung Hoa, Binh Tan District, Ho Chi Minh City

+84-865-399-124