IMF Working Papers

Estimating Digital Infrastructure Investment Needs to Achieve Universal Broadband

ByEdward Oughton

February 10, 2023

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Format: Chicago

Edward Oughton. "Estimating Digital Infrastructure Investment Needs to Achieve Universal Broadband", IMF Working Papers 2023, 027 (2023), accessed 12/5/2025, https://doi.org/10.5089/9798400233623.001

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Disclaimer: IMF Working Papers describe research in progress by the author(s) and are published to elicit comments and to encourage debate. The views expressed in IMF Working Papers are those of the author(s) and do not necessarily represent the views of the IMF, its Executive Board, or IMF management.

Summary

We develop a detailed model to evaluate the necessary investment requirements to achieve affordable universal broadband. The results indicate that approximately $418 billion needs to be mobilized to connect all unconnected citizens globally (targeting 40-50 GB/Month per user with 95 percent reliability). The bulk of additional investment is for emerging market economies (73 percent) and low-income developing countries (24 percent). We also find that if the data consumption level is lowered to 10-20 GB/Month per user, the total cost decreases by up to about half, whereas raising data consumption to 80-100 GB/Month per user leads to a cost increase of roughly 90 percent relative to the baseline. Moreover, a 40 percent cost decrease occurs when varying the peak hour quality of service level from the baseline 95 percent reliability, to only 50 percent reliability. To conclude, broadband policy assessments should be explicit about the quantity of data and the reliability of service provided to users. Failure to do so will lead to inaccurate estimates and, ultimately, to poor broadband policy decisions.

Subject: Digitalization, Emerging and frontier financial markets, Financial markets, Infrastructure, National accounts, Population and demographics, Technology

Keywords: Asia and Pacific, Broadband, Caribbean, Central Asia and the Caucasus, cost decrease, cost driver, cost sensitivity, data consumption, data traffic, Digital Infrastructure, Digitalization, Emerging and frontier financial markets, estimation metrics, Global, Infrastructure, infrastructure cost modeling, infrastructure investment, investment requirement, policy assessment, Public Investment, Sub-Saharan Africa, Sustainable Development Goals