Kongsberg is not a planned maintenance system competitor, and any comparison that treats it as one will send you to the wrong conclusion. In February 2026, at a launch event in Oslo, Kongsberg Maritime consolidated its legacy software into a single unified Digital Solutions portfolio, bringing K-IMS, Vessel Insight, K-Fleet and Coach together under Digital Ocean on a common data foundation and architecture, and released KM Performance as the first solution area. What that platform does is exceptional: weather-informed route planning, dynamic trim optimisation, hull performance analytics, fuel consumption monitoring and automated emissions reporting across the full voyage cycle, combining high-integrity sensor data with validated manual inputs. What it does not do is schedule the overhaul, close the work order, track the certificate window or produce the evidence pack a surveyor asks for. Performance software tells you a vessel is losing half a knot and burning extra fuel. A maintenance system is what turns that signal into a completed job with a name, a date and a photograph attached. Most fleets evaluating Kongsberg alternatives are actually discovering they own one half of a loop. Start a free trial of Marine Inspection and see what the other half looks like.
Where Performance Software Hands Off
Vessel performance runs as a four-stage loop, and analytics platforms are outstanding at the first three. The fourth is a different product category entirely, and it is where most fleets discover a gap they did not know they had. Book a Marine Inspection demo to see the fourth stage as a working system rather than a spreadsheet.
What the Consolidation Means If You Are Already a Customer
Portfolio consolidations are the cheapest moment to run an evaluation, because the switching cost of staying and the switching cost of looking are briefly equal. If your fleet sits on any of the four legacy systems, these are the questions worth putting in writing now. Sign up for Marine Inspection and use the transition window to test the execution half properly.
Capability Comparison: Performance-Led Against Maintenance-Led
These platforms answer different questions, and the useful comparison is about which half of the loop your fleet is missing. The table is explicit about where each one is not the answer. Schedule a walkthrough and test the execution lines against your own vessel data.
| Line | Performance-Led Pattern | Maintenance-Led Pattern | Test in the Demo |
|---|---|---|---|
| Core question answered | Is this vessel operating efficiently, and where is fuel and speed being lost | Was the right work done at the right interval by the right person, and can you prove it | Write down the question your board actually asks you each month |
| Hull and propeller | Fouling curves, speed loss against baseline, trim optimisation and cleaning-interval economics | The cleaning job itself, scheduled, assigned, completed and recorded against the hull record | Trace one hull cleaning decision from signal through to completed evidence |
| Machinery | Condition signals, alarm statistics, trend analysis and equipment health indicators | Interval and running-hour triggers, job cards, defect-to-work-order conversion and spares consumption | Take one alarm and follow it to a closed job in each system |
| Emissions and regulation | Automated emissions reporting supporting MRV, DCS, CII and EU ETS obligations | ISM Element 10 evidence, certificate windows, class survey dates and inspection audit trails | Generate both outputs live; most fleets need both and own one |
| Crew interaction | Structured digital reporting and data entry, validated against rule sets before it reaches analysis | Every core workflow native to phone or tablet including create, edit and submit offline | Airplane mode, close a job with photos, reconnect and watch the sync resolve |
| Data direction | Vessel to shore, upward into analysis and reporting | Shore to vessel and back, outward into task assignment and evidence capture | Establish which system holds the master equipment record if you run both |
| Hardware dependency | Sensor integration where available, with lighter tiers requiring no additional onboard hardware | None; the device the crew already carries is the terminal | Cost the sensor and connectivity footprint separately from licences |
| Where it is not the answer | Fleets whose fuel efficiency is already managed but whose maintenance evidence fails an audit | Fleets whose maintenance discipline is sound but who cannot explain a fuel bill | Name the single question you currently cannot answer |
Total Cost of Each Half of the Loop
Performance platforms and maintenance platforms carry structurally different cost shapes, which is why comparing their licence lines against each other is close to meaningless. Market analysis puts unlisted items at 20 to 40 percent of first-year total cost of ownership when they are not surfaced before signature. Start a free trial to see per-vessel pricing applied to your fleet without a custom-quote cycle.
| Cost Line | Performance Platform Pattern | Maintenance Platform Pattern | Put This in Writing |
|---|---|---|---|
| Onboard hardware | Sensor integration, data collection units and connectivity, with lighter tiers designed to avoid additional hardware | None; no server, no client install, no onboard unit | Hardware and installation cost per vessel, quoted separately from software |
| Connectivity | Continuous data transfer from vessel to shore, which carries a satellite bandwidth cost | Offline-first with sync on reconnection, so bandwidth is incidental | Estimated monthly data volume per vessel at your reporting frequency |
| Integration and commissioning | Connecting sub-supplier systems and equipment feeds, scoped per vessel and per equipment type | Equipment hierarchy import, measured in days rather than per-sensor | Commissioning cost for your oldest and least instrumented vessel |
| Portfolio migration | A consolidation is a project even when it is the vendor's initiative, with configuration and retraining attached | Continuous release with no fleet action required | Total migration cost across every legacy system you hold |
| Retrofit and older tonnage | Older vessels with limited instrumentation are the hardest and most expensive to bring into scope | Vessel age is close to irrelevant, since the input is a person with a phone | Per-vessel cost for your least instrumented tonnage specifically |
| Crew turnover | Reporting discipline training, repeated as crews rotate | Role-based onboarding and in-product guidance for new joiners | Retraining cost for a full crew change on a single vessel |
| Running both | The realistic configuration for most fleets, with one integration point between them | Same, from the other direction | Total cost of the pair, and which system owns the equipment master |
Data Provenance Decides What Analytics Are Worth
The most underrated part of this segment is not the modelling, it is the input discipline. Analytics built on unverified numbers produce confident conclusions from bad data, which is worse than no analytics at all. Three tiers of input exist, and knowing which tier feeds your dashboards tells you how much to trust them. Book a walkthrough and check which tier your own reporting actually sits in.