After years of aggressive network buildout, high debt and slower-than-expected returns are pushing operators and investors towards mergers, asset sales and footprint rationalisation.
The UK has been one of the clearest examples. Zzoomm and FullFibre completed their merger in March 2025; A year before, Netomnia and brsk had combined to create a larger challenger to Openreach and Virgin Media O2.
Similar moves are now visible elsewhere in Europe. In the Netherlands, DELTA Fiber sought to sell around 200,000 fibre connections to Glaspoort after several years of aggressive, debt-heavy expansion. In Germany, UGG, the Allianz-Telefónica fibre joint venture, agreed in October 2024 to acquire Infrafibre Germany, owner of BBV and Leonet, for a symbolic €1. The country, home to more than 250 operators, should see further consolidation soon.
The sector’s difficulties reflect both changing economics and problems created by the pace and scale of fibre deployment. Many fibre business plans were drawn up when capital was cheap and higher financing costs have since put pressure on operators. Broadband speed itself is becoming a weaker differentiator: XGS-PON networks provide more capacity than most households need. Attention is shifting instead towards latency, reliability and quality of experience.
The four operational challenges that hold integration back
These pressures make consolidation increasingly attractive. Combining operators can improve utilisation of existing fibre assets and reduce duplicated costs while spreading fixed investment across a larger customer base.
However, the ensuing integration is rarely straightforward, requiring investments to quickly and accurately combine network records, asset data, customer systems and operating processes. These investment needs come at a time when operators have limited financial room for error and, without them, a merger can inherit the sector’s problems twice over.
A number shows the scale of the problem: according to AlixPartners, 85% of fibre company mergers fail to derive anticipated savings from integration, and this is often due to challenges around integrating network operations and technology.
Specifically, digital-tooling and data problems cluster into a few areas:
The first is fragmented OSS/BSS stacks. Merging operators bring different network, customer and billing systems, often with limited interoperability. The ensuing integration problems can delay activations, create billing errors and make network resources harder to manage.
Closely related is the problem of master data and duplicate records. Unifying customer and asset data across two companies is fraught with complexity. Weak master data controls can lead to duplicate accounts, billing issues and unreliable operational information.
In the field, network inventory and GIS data quality issues mean that records do not always reflect actual conditions. This creates uncertainty over serviceability and can become a significant problem during integration. In a merger, it often bites during due diligence: we have seen cases where the data quality was so poor, in the form of undocumented modifications or inaccurate initial surveys, and the integration issues so dire that the buyer had no choice but to re-digitise from scratch.
That problem is often compounded by inconsistent documentation and construction standards. Networks may have been built, inspected and documented in different ways, making it a delicate process to bring them onto a common operating model while services remain live.
These are significant problems, but they are also tractable, even with strained resources.
Squaring service quality with limited resources
How? A crucial first step is a data-first operating model, built on an accurate picture of the network. That foundation pays off whether or not a deal is on the table: it helps an operator lift serviceability, keep customers on the fibre it has already built and generate the cash to service its debt. Here is a typical course of action to create it:
1. Build the network digital twin as the system of record. Problems rapidly arise when you try to run and integrate a network with inventory and GIS data that don’t match the ground. Using software like Octave NetWorks, the crucial first step is therefore to create an accurate, location-based digital twin of the fibre network and supporting structures, with rules-driven editing so corrections stay consistent. That model, rather than spreadsheets or tribal knowledge, can serve as the single source of truth for routes, splices, cabinets and serviceable premises. Day to day, it cuts failed service orders; before a deal, it removes the due-diligence risk that incomplete route records create, which otherwise gets priced straight into a lower valuation.
2. Make the twin the integration-ready foundation for OSS/BSS. A clean inventory only pays off when the rest of the stack reads from it: NetWorks’ API-driven, composable architecture is built to connect to core systems. After standardising the network system-of-record first, it becomes possible to wire billing, provisioning and field service to it, rather than reconciling two of everything at once. This typically requires a proof-of-integration test on real data, because an API can still hide inaccessible objects that turn integration into custom maintenance.
3. Govern the handover with a managed geospatial data layer. The twin defines what the network is; it doesn’t remove the need to control how that data moves between teams, contractors and, in a deal, an acquired entity. Here, a geospatial solution like Octave Alto Data Management can help catalogue, secure and distribute geospatial content so everyone works from the same basemaps, layers and deliverables. This is what makes it possible to fold acquired crews onto the buyer’s standards without a prolonged period of two competing “truths”, and it protects the master-data hygiene that keeps billing clean.
4. Instrument the programme against the targets that matter. The last step closes the loop by measuring the programme against the business case: failed activations, truck rolls, outage minutes and time-to-serviceability. Tracking these measures shows early on whether the programme is on track, giving operators time to correct course before underperformance becomes costly.
Attentive readers might notice that this is not simply a blueprint for integration, but for better service quality overall: cleaner data makes for better service, better service lifts take-up and curbs churn, which in turn means stronger cash flows. That is perfectly apt: whether a company is acquiring, considering a merger or remaining independent, these steps are meant to help it navigate this period from a position of strength rather than one of distress. In a period of consolidation, that is the best insurance policy.
