# An assessment of estimation models and investment gaps for the deployment of high-speed broadband networks in NUTS3 regions to meet the objectives of the European Gigabit Society

**Authors:** Ferrandis Jesus (1), Ramos Sergio (2), Feijoo Claudio (1) ((1) Universidad Politecnica de Madrid, (2) Universidad Nacional de Educacion a Distancia)

arXiv: 2508.19921 · 2025-08-28

## TL;DR

This paper evaluates the investment needed to achieve EU's high-speed broadband targets by 2025, using a bottom-up model at the NUTS3 regional level and analyzing different technology scenarios.

## Contribution

It introduces a novel estimation model for broadband investment gaps at the regional level, considering multiple technology scenarios and providing a dynamic analysis over recent years.

## Key findings

- Quantifies regional investment gaps for EU broadband targets.
- Assesses the impact of wired and wireless technology mixes.
- Provides insights into the evolution of investment needs from 2017 to 2019.

## Abstract

This paper analyses the deployment of high speed broadband networks in the European Union (EU). Its aim is to assess the investment required to meet the targets set by the European Commission (EC) for 2025, within the framework of the European Gigabit Society (EGS). This plan aims to ensure the availability and take up of very high capacity fixed and wireless networks, in both urban and rural areas, among households and the main socioeconomic drivers. The estimation model presented here uses a methodology supported by data at the local (NUTS3) level to give a bottom up estimation of the investment gap for each of the EGS objectives, using three different scenarios depending on the mix of wired and wireless technologies offered. The methodology and estimation model used in the paper are examined against other examples and assumptions available in the literature. We also offer a dynamic perspective on the analysis of the evolution of this investment gap over the years 2017 2019, which includes an assessment of the usefulness of these estimation models.

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Source: https://tomesphere.com/paper/2508.19921