Enterprise EAM costs half a million before you log in.
We compared IBM Maximo, SAP EAM, IFS Cloud, Hexagon, and Bentley AssetWise. For operators managing both pipelines and plants, the total year-one cost routinely hits €380K–710K — before a single work order is raised. NordEAM is built for both asset types at a fraction of that cost.
€380K+
Avg enterprise Year 1 cost
18 mo
Avg go-live for Maximo / SAP
2 systems
What mixed portfolios need today
The enterprise path
NordEAM 🇩🇰
The two-system problem.
Enterprise EAM platforms were built for discrete assets — equipment hierarchies, functional locations, work orders. Linear assets came later, bolted on as modules or managed in separate GIS-adjacent tools. The result for mixed-portfolio operators: two data models, two sets of IDs, two reporting pipelines, and a quarterly spreadsheet exercise just to produce a unified asset register.
2×
The licence cost
Running SAP EAM for plants and Bentley ALIM for pipelines means two enterprise contracts, two support relationships, and two upgrade cycles.
85%
of AI value is lost
ML models for predictive maintenance are only as useful as the graph they can reason over. Fragment the data model and you fragment the intelligence.
12–24 mo
Typical Maximo or SAP go-live
Enterprise EAM implementations routinely take a year or more before operators see value. Most NordEAM deployments are live in weeks.
How the platforms compare.
Based on published pricing, Gartner and G2 reviews, and publicly available product documentation.
IBM Maximo MAS US | SAP EAM + LAM DE | IFS Cloud SE | Hexagon HxGN EAM SE | Bentley AssetWise US | NordEAM DK | |
|---|---|---|---|---|---|---|
| Native linear asset support (LRS) | Native (included) | Bolt-on module (extra licence) | Native | GIS extension | Specialist (linear only) | Native LRS — built in |
| Discrete asset support | Excellent | Excellent | Excellent | Strong | [object Object] | Excellent |
| Single unified platform | ✓ | Partial | ✓ | Partial | ✕ | ✓ |
| Agentic AI | ML + early agents (2024) | ML predictions (APM) | Industrial AI (emerging agents) | Mature ML predictions | Azure ML (predictive) | Agentic AI — native |
| EU data residency | AWS EU (configurable) | Configurable (GDPR/DPA) | Azure North Europe, Stockholm | Stockholm HQ + Prevas (Nordics) | Azure EU (US company) | Copenhagen, Denmark |
| Typical annual cost (50 users) | $50+/user/mo + $200–500K impl | Enterprise quote, $100K+ entry | $200–500/user/mo | $75K–500K+/year | Custom quote | Transparent SaaS pricing |
| Typical implementation time | 12–24 months | 6 months – 3 years | 3–18 months | 6–18 months (est.) | 6–12 months (est.) | Weeks to months |
| NIS2 aligned | Partial | Partial | ✓ | Partial | ✕ | ✓ |
| Key weakness | Complex UI, heavy implementation, reporting requires SQL effort | Outdated UI, LAM requires separate licence, not purpose-built for EAM | High cost per user, complex licensing, support inconsistency | Outdated UI, complex configuration, documentation gaps | Linear specialist only — discrete assets require a separate system | Early-stage — growing fast |
Cost estimates based on published pricing, analyst reports, and publicly available customer accounts. Enterprise implementations vary significantly; figures represent typical mid-market scenarios. IFS Cloud: $200–500/user/month (top10erp.org). IBM Maximo: $50+/user/month (ibm.com). Hexagon: $75K–500K/year (technologyevaluation.com).
The honest comparison.
Each platform has a legitimate use case. Here's where each one fits — and where it doesn't.
vs
IFS Cloud
Swedish-founded. Enterprise EAM for 500–5,000+ users. Strong in energy, utilities, defence.
IFS does well
- ✓ Native linear and discrete in one platform
- ✓ Strong industrial AI capabilities
- ✓ Nordic data residency (Azure Sweden)
- ✓ Deep industry modules (energy, defence, manufacturing)
- ✓ Established Nordic customer base and partner network
Where NordEAM wins
- ✕ IFS costs $200–500/user/month — NordEAM is a fraction of that
- ✕ IFS implementations run 3–18 months; NordEAM deploys in weeks
- ✕ IFS AI is module-level; NordEAM agents work across linear/discrete natively
- ✕ IFS licensing is complex; NordEAM is one transparent SaaS price
- ✕ IFS support inconsistency is a recurring G2 complaint
Verdict: IFS Cloud is the right choice for 500+ user enterprises with deep process customisation needs. For operators with 20–200 users who need both linear and discrete managed without a year-long implementation, NordEAM is built for them.
vs
IBM Maximo MAS
The market-share leader. 40 years of EAM, now cloud-first with ML and early agents.
Maximo does well
- ✓ Native linear asset management (no bolt-on needed)
- ✓ Broadest feature set in the market
- ✓ Maximo Predict with proven ML for failure forecasting
- ✓ Largest partner and integration ecosystem
- ✓ Recognised by Gartner as a Leader
Where NordEAM wins
- ✕ Maximo implementations average 12–24 months and $200–500K in consulting
- ✕ UI described as "not intuitive" in virtually every G2 review
- ✕ Reporting requires SQL effort; no modern self-serve analytics
- ✕ Agentic AI was retrofitted in 2024; not native to the data model
- ✕ Total cost of ownership for 50 users often exceeds €300K in year one
Verdict: Maximo is the right choice for large, globally distributed enterprises with an existing IBM stack and a dedicated EAM team. For a utility or infrastructure operator that needs to be live in a quarter, the Maximo path is the wrong starting point.
vs
SAP EAM + SAP LAM
Plant Maintenance in S/4HANA, with Linear Asset Management as a separate business function.
SAP does well
- ✓ Native integration with SAP ERP, Finance, Procurement
- ✓ Full plant maintenance hierarchy and work order management
- ✓ SAP APM adds ML-driven predictive maintenance
- ✓ Right choice if you're already deep in the SAP ecosystem
Where NordEAM wins
- ✕ SAP LAM requires a separate module licence — linear isn't included
- ✕ UI is widely criticised as dated; Gartner reviewers cite "Windows 2000 era" design
- ✕ Entry cost $100K+; total TCO for mixed organisations often reaches seven figures
- ✕ Implementation complexity is high; go-live in under 12 months is exceptional
- ✕ Not purpose-built for EAM — designed to satisfy SAP ERP customers
Verdict: SAP EAM is the right choice for organisations already running S/4HANA who need maintenance tightly coupled to procurement and finance. If you're evaluating standalone EAM, SAP is rarely the most cost-effective path.
vs
Linear-only specialists (Bentley AssetWise, Trimble Cityworks)
Purpose-built for roads, rail, pipelines, or water networks. Not built for facilities or plants.
Specialists do well
- ✓ Deep LRS and dynamic segmentation for pure-network operators
- ✓ Strong GIS integration and spatial workflows
- ✓ Purpose-built for their domain (roads, rail, or water networks)
- ✓ Right fit if you only manage linear assets and nothing else
Where NordEAM wins
- ✕ Bentley AssetWise has limited discrete asset support — treatment works and pump stations need a second system
- ✕ Cityworks is mid-transition to Trimble Unity Maintain — roadmap uncertainty
- ✕ Neither has a native agentic AI layer that spans both asset types
- ✕ US-based platforms with no Nordic-first data residency
Verdict: Specialists are the right choice for pure-linear operators with no facility or plant assets. For water utilities with both a distribution network and treatment works, or rail operators with both track and depots — a specialist tool means a second system from day one.
What enterprise EAM actually costs.
Licence cost is the visible part. The real number includes implementation consulting, data migration, training, customisation, and the annual maintenance fee that compounds for as long as you run the system.
Typical Year 1 for a 50-user enterprise EAM
- IFS Cloud licences (50 × $300/mo × 12)~$180,000
- Implementation consulting (typical)$150,000–400,000
- Data migration and cleansing$30,000–80,000
- Training and change management$20,000–50,000
- Total Year 1 (est.)$380,000–710,000
Estimates based on published IFS Cloud pricing ($200–500/user/month, top10erp.org) and typical mid-market implementation norms.
NordEAM for the same team
- Transparent SaaS pricing — all modules includedRequest quote
- Implementation (weeks, not months)Significantly lower
- Linear + discrete in the same platformNo second system
- Agentic AI — included, not an add-onIncluded
- Time to first valueWeeks
Five reasons mixed-portfolio operators choose NordEAM.
- 01
One data model — no reconciliation
A unified platform means your pipeline network and your pump stations share a single asset register, a single risk score, and a single audit trail. No quarterly spreadsheet to reconcile two systems.
- 02
Agentic AI built into the data model
NordEAM agents were designed alongside the asset data model — not retrofitted. An agent inspecting a pressure anomaly on a water main can check the treatment plant downstream in the same action, because they're in the same system.
- 03
EU-hosted, NIS2-aligned from day one
Built in Copenhagen. Your asset data stays in Europe. NIS2 and GDPR compliance is architecture, not a legal attachment.
- 04
Live in weeks, not a year
Most enterprise EAM implementations take 12–24 months before operators see value. NordEAM deployments are measured in weeks. Your team can validate against real data before you've committed the full budget.
- 05
Price that scales with your team — not against it
Enterprise EAM vendors price by modules, users, and assets — then add consulting on top. NordEAM is a single transparent SaaS price. Adding a team member doesn't trigger a procurement exercise.
See both asset types. One session.
Bring a pipeline segment and a treatment plant. We'll run through inspection workflows, a burst scenario, and a pump maintenance programme — in the same demo, on the same platform.