Analysis of the current state and future prospects of data transport networks.

Data transport networks form the technical “backbone” for network operations in the telecommunications industry. These networks link antenna sites, data centers, peering points, etc. and ensure that the core functionality in the respective network is guaranteed. A telecommunications company wants to understand the current requirements for data transport networks, in order to identify future prospects and align strategy accordingly. In this project, it was essential to consider continuously increasing data volumes, permanent cost pressure, and new requirement profiles (e.g., innovations such as edge computing, campus networks, 5G).

What is the current state of data transport networks and what future developments can be expected?

Our Solution

The solution approach used by Statista Q examined, on the one hand, the current state of the transport network market in terms of competition, technology and capacity demand and, on the other hand, future developments. Methodologically, primary and secondary market research was first conducted, the findings of which were incorporated into a market model. In the primary market research, expert interviews were conducted to gain insights on competitors, products and capacities. The insights from the expert interviews were completed with researched data. The data was then analyzed in a model to determine the current market situation and future prospects. The market model was created using Microsoft Excel.

  • Conducting expert interviews
  • Secondary data research on competitors, products, capacities and technologies
  • Market model
Customer Results

The project’s findings enabled the company to assess the current state of data transport networks. The future perspectives support the company in formulating new strategies and product developments. The market model in Excel was made available to the customer completely and exclusively. By means of the “control cockpit”, the customer can easily vary critical assumptions independently. In addition, all assumptions made were backed up with and justified by sources. The core results were integrated into a report (PowerPoint) and presented to the customer.

  • Market model in Microsoft Excel including control cockpit
  • Presentation of core findings on how new requirements will impact data transport networks in the coming years