The "Strategy" Layer: While a CMMS tracks work orders, APM software analyzes data to tell you what work you should be doing to maximize profit.
The "Integration" Requirement: APM fails if it is disconnected from the shop floor. The best tools ingest real-time data (OEE/Sensors) to predict failures.
The Top 5: We review Fabrico, GE Digital, Aveva, and others to help you bridge the gap between maintenance execution and asset strategy.
If you have a CMMS, you know what you did (replaced a bearing).
If you have Asset Performance Management (APM) software, you know why you did it—and if you should do it differently next time.
APM is the "Brain" that sits on top of the "Muscle" (CMMS). It uses data from sensors, PLCs, and history to optimize your maintenance strategy.
For years, APM was a luxury for mega-corporations using GE or Siemens.
In 2025, APM is accessible to everyone.
You don't need a million-euro budget. You need software that connects Asset Health to Business Outcomes.
Here are the 5 Best APM Software Tools for 2025.
Best For: Manufacturers who want APM and CMMS in a single, unified platform.
Most APM tools are "Overlay" software—they sit on top of your CMMS and try to make sense of the data. Fabrico is the system. By housing the Strategy (APM) and the Execution (CMMS) in one place, we eliminate the data gap.
Native OEE & Reliability: Fabrico calculates the health of your assets based on real-time Production Data (OEE). If a machine's speed drops, the "Asset Health Score" drops, triggering an investigation.
Automated RCM: Instead of a static RCM analysis, Fabrico uses live failure codes to update your asset strategy dynamically. It highlights "Bad Actors" automatically based on cost and frequency.
Condition-Based Triggers: You don't need a separate piece of software to interpret sensor data. Fabrico ingests vibration, temperature, and cycle counts to trigger work orders directly.
TCO Visualization: Fabrico gives you the "Total Cost of Ownership" in real-time, combining energy, parts, labor, and downtime costs into a single metric.
The Verdict: If you want to execute your reliability strategy without buying two separate software packages, Fabrico is the integrated choice.
Best For: Heavy industrial and power generation.
GE Digital defined the APM category. It is a massive, powerful suite designed for the world's largest assets (turbines, grid infrastructure).
Pros: Unrivaled "Digital Twin" capabilities. It can model the thermal stress on a turbine blade in real-time. It has deep predictive analytics trained on decades of GE equipment data.
Cons: It is incredibly expensive and complex. Implementation is a multi-year journey. It is overkill for a discrete manufacturing plant (e.g., bottling, packaging).
The Difference: GE is for the Power Plant; Fabrico is for the Factory.
Best For: Process industries (Chemical, Oil & Gas).
Aveva (formerly Wonderware/Avantis) excels in continuous process environments.
Pros: Deep integration with SCADA and Historians (OSIsoft PI). It is excellent at detecting anomalies in continuous data streams (pressure, flow, temperature).
Cons: Like GE, it is a heavy enterprise tool. It requires a team of data engineers to maintain. The user interface is built for engineers, not for technicians on the floor.
The Difference: Aveva monitors the process; Fabrico manages the machine.
Best For: Infrastructure (Rail, Roads, Bridges).
Bentley focuses on "Linear Assets" and public infrastructure.
Pros: It understands the geometry and geospatial location of assets better than anyone. If you are managing a railway network, this is the standard.
Cons: It is not designed for the high-speed, high-cycle world of manufacturing production lines. It lacks OEE and cycle-time logic.
The Difference: Bentley is for the Network; Fabrico is for the Plant.
Best For: Reliability teams using Rockwell hardware.
Fiix has added APM-lite features ("Asset Risk Predictor") to its CMMS.
Pros: It uses AI to analyze your work order history and predict which assets are likely to fail. It is a good step up from a basic CMMS.
Cons: Its predictive capabilities are heavily dependent on the Rockwell ecosystem. If you have a mixed fleet of machines, integration can be more difficult.
The Difference: A strong mid-market contender, but less integrated with OEE production data than Fabrico.
| Feature | Fabrico | GE Digital | Aveva | Bentley | Fiix |
| Primary Focus | Factory APM | Heavy Industry | Process | Infrastructure | AI Analytics |
| CMMS Included | ✅ Native | ❌ No | ⚠️ Separate | ⚠️ Separate | ✅ Native |
| OEE Integration | ✅ Native | ⚠️ Complex | ✅ Native | ❌ No | ⚠️ Add-on |
| User Experience | Modern | Complex | Complex | Complex | Good |
| Deployment | Weeks | Years | Months | Months | Months |
APM software is useless if it just predicts a failure. It must trigger the work to prevent it.
Choose GE or Aveva if you are running a billion-euro refinery.
Choose Bentley if you are running a railroad.
Choose Fabrico if you are a Manufacturer. If you want to use data to optimize your maintenance strategy and automatically execute that strategy on the shop floor, Fabrico is the practical APM solution.
Turn strategy into action.
[Book a Demo with Fabrico] to see how our APM tools drive reliability without the complexity.
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