Can manufacturers simplify complexity and redefine what’s possible in the industrial equipment industry with smart machines? With Dassault Systèmes, they can.
Market Segment
Discover how connected, software-driven systems are transforming service delivery, maintenance and equipment performance
Source: Forbes
loss in productivity and repair from equipment downtime annually
average equipment downtime per year experienced by manufacturers
companies had at least one unplanned downtime; most suffered two or more
Investment priorities across the industrial equipment industry are shifting. Rather than purchasing new equipment, manufacturers are investing instead in maintenance and upgrades of existing assets. This shift is not only operationally sound but highly profitable. Industry research shows that after-sales services now contribute between 40% to 90% of earnings before interest and taxes (EBIT) for original equipment manufacturers (OEMs), making service a primary driver of long-term growth.
Several factors are accelerating this shift toward maintenance and asset optimization, including:
As such, service lifecycle management has become a crucial capability, supporting processes and field-service operations that keep industrial equipment and smart machines running reliably and optimally.
Executed effectively, service lifecycle management ensures higher customer satisfaction, efficient field service execution and optimal uptime.
Unlike traditional service systems that rely on fragmented tools and manual processes, the 3DEXPERIENCE® platform brings managed software and technology together in a single collaborative environment. It integrates design, engineering, manufacturing and service data to deliver a single source of truth, eliminating errors, improving traceability and strengthening collaboration across teams.
By unifying software configurations and service data on a single platform, teams gain consistent visibility across the entire service lifecycle. Real-world data — accessible anywhere, anytime — feeds back into product design for continuous improvement, shaping a more proactive and resilient strategy to manage the full lifecycle of smart machines.
What if equipment could run reliably with minimal unplanned downtime?
Advanced sensors and edge computing in manufacturing, along with the hyperconnectivity of the industrial Internet of Things (IoT), make this possible. From the fast collection and sharing of data, such as temperature, vibration, pressure cycle counts and software logs, to streaming performance data continuously and directly from smart machines, this high-fidelity visibility and real-time analytics accessible from a single platform allow teams to:
This reduces downtime, saves costs, improves agile responses and gives manufacturers a clear view of how their machines perform across different operating environments — maintaining better uptime and securing more predictable service costs.
What if equipment failures can be prevented before they disrupt operations?
With self-aware software-driven systems and IoT data, maintenance services are no longer about waiting for a malfunction. Predictive maintenance software combines sensor data from machines with virtual twin simulations to identify issues early, predict anomalies through simulation, understand parts degradation patterns and plan maintenance based on actual conditions.
This shift helps manufacturers:
This predictive strategy reduces unplanned repairs, extends equipment lifespan and boosts repairability, while transforming service from reactive to preventive and proactive.
Imagine having the right parts ready, all the time, without overstocking.
Smarter parts planning supports stronger lifecycle performance in smart manufacturing systems. Often, manufacturers lose time and incur unnecessary costs when their machines fail, and they do not have readily available parts to repair them.
The 3DEXPERIENCE platform uses historical service data, usage trends and patterns to forecast parts needs accurately. This leads to:
Smarter parts planning helps optimize the entire service lifecycle, reducing delays and improving customer satisfaction.
How do you close the loop between design, engineering and field service?
Disconnected systems make it difficult for teams to act quickly. In service operations, especially, machine uptime and fast responses can have a significant impact on your bottom line.
The 3DEXPERIENCE platform keeps machines running optimally, connecting engineering, manufacturing, service teams and customers with the same accurate, up-to-date data. This unified environment:
With a unified platform, autonomous industrial equipment benefits from faster service, more accurate insights and a continuous improvement cycle.
As operational productivity comes into focus, field insights can drive better machine performance, delivering a higher return on investment.
These insights reveal how machines perform beyond the factory floor. With lifecycle continuity built into the platform, manufacturers gain visibility to improve designs, boost reliability and support data-driven manufacturing innovation for long-term performance of intelligent industrial equipment.
Lifecycle visibility helps teams:
The 3DEXPERIENCE platform ensures that service knowledge flows into engineering and manufacturing, making field service more progressive and efficient.
As industrial equipment evolves into software-defined machines with higher autonomy and connectivity, long-term performance becomes a competitive advantage. Service lifecycle management provides the needed structure and digital backbone to support uptime, increase reliability and deliver consistent value throughout the machine’s lifespan.
The 3DEXPERIENCE platform transforms traditional services into a proactive, modern lifecycle strategy built for the next era of connected, intelligent machines.