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Data Center News > Blog > Edge Computing > Beyond latency: Why population density drives edge computing ROI
Edge Computing

Beyond latency: Why population density drives edge computing ROI

Last updated: June 26, 2025 1:34 pm
Published June 26, 2025
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Beyond latency: Why population density drives edge computing ROI
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By Joe Minarik, Chief Working Officer, DataBank

“Location, location, location.” 

Whereas this adage has utilized to property values and their total desirability in conventional, brick-and-mortar actual property markets for generations, this saying may also be used to outline success for the subsequent technology of knowledge facilities working on the edge. 

To place it one other method, the place residence and business actual property markets are inclined to deal with geography, edge knowledge facilities should now rigorously issue inhabitants proximity into their selections the place to find, as it will have an effect on latency occasions. Making the suitable decisions provides knowledge middle operators the perfect probability to ship quick, dependable, and always-available digital experiences their clients and their finish customers demand. 

This shift in considering is a response to an edge computing trade that now finds itself at a crucial inflection level that will require new variables in strategic decision-making. 

Latest estimates venture that the entire international income of the sting computing market will enhance practically tenfold in simply seven years – from $16.45 billion in 2023 to $155.9 billion by 2030. Further analysis exhibits that 75% of new data is expected to be created outside of central data centers by the end of 2025. 

Each of those findings level to a brand new dynamic: the truth that the sting computing trade now faces new concerns that outweigh latency metrics and different variables used up to now.

Whereas firms offering digital providers have lengthy obsessed over geographic protection and millisecond enhancements, forward-thinking enterprises at the moment are recognizing that inhabitants density – not simply proximity – represents the true figuring out issue of their edge infrastructure ROI and total success.

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Hyperscalers face a basic financial problem in terms of population-dense markets. Their enterprise mannequin is dependent upon huge scale to realize value efficiencies, requiring monumental amenities with substantial land footprints and energy capacities. In population-dense city areas, land prices, energy infrastructure bills, and regulatory complexity make these large-scale deployments cost-prohibitive.

This financial actuality drives hyperscalers to construct their main infrastructure in lower-cost rural or suburban areas the place they will obtain the size economies their mannequin requires. Whereas AWS, Microsoft, and Google may theoretically construct in downtown areas, the associated fee construction doesn’t align with their huge infrastructure necessities and margin expectations.

For edge providers particularly, hyperscalers usually depend on virtualized options and distributed computing zones that leverage current telecommunications infrastructure or associate amenities. These software-defined edges – like AWS Wavelength zones, Microsoft Azure Edge Zones, and Google Distributed Cloud Edge – provide broad geographic attain however with restricted bodily presence in probably the most population-dense areas the place latency issues most.

The colocation benefit: Multi-tenant economics allow inhabitants proximity

Colocation knowledge facilities remedy the inhabitants proximity problem via a essentially totally different financial mannequin. Whereas hyperscalers require huge scale at particular person areas to justify their infrastructure investments, colocation suppliers obtain the required scale via multi-tenancy. In doing so, they will efficiently unfold the price of population-dense actual property throughout a number of clients sharing the identical facility.  

This multi-tenant strategy makes the economics work in costly city markets the place hyperscalers can’t justify devoted amenities. By serving dozens of shoppers from a single strategically positioned knowledge middle, colocation suppliers can take in the upper prices of prime actual property, energy infrastructure, and regulatory compliance that include being near main inhabitants facilities. 

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When a colocation facility positions itself inside optimum distance of main inhabitants facilities, it supplies the devoted processing energy, storage, and connectivity that extra population-dense purposes demand. In contrast to hyperscaler edge zones that share sources throughout bigger geographic areas, colocation amenities can dedicate particular capability to particular person clients whereas sustaining multi-tenant economics that make the situation technique extra sustainable. 

Most significantly, colocation suppliers can reply to inhabitants progress alternatives via this scalable financial mannequin. As demographics shift and new city facilities emerge, colocation firms can deploy amenities in these markets by leveraging multi-tenancy to justify the upper prices. This strategy permits them to seize inhabitants proximity benefits via shared infrastructure economics. 

Positioning for edge computing’s explosive progress

As the sting computing market grows from $16 billion to $155 billion by 2030, success will belong to those that perceive that location really is all the pieces. Hyperscalers might provide broad geographic protection, however colocation suppliers ship what issues extra: infrastructure strategically positioned inside optimum attain of the inhabitants clusters that drive tomorrow’s digital economic system.

In regards to the creator

Joe Minarik joined DataBank as Chief Operations Officer in January 2022, overseeing all knowledge middle operations, engineering, development, managed providers, and IT operations. He brings in depth cloud and knowledge middle experience from his 16-year tenure at Amazon, the place he led infrastructure growth and served as International Head of Knowledge Heart Provide. Previous to Amazon, Minarik held senior IT positions at Disney and Napster, and holds a B.S. in Laptop Science from the College of Michigan.

See also  NVIDIA targets edge AI developers and hobbyists with low-cost Gen-AI supercomputer

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Article Matters

colocation  |  knowledge facilities  |  Databank  |  digital infrastructure  |  edge computing  |  EDGE Knowledge Facilities

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The colocation benefit: Multi-tenant economics allow inhabitants proximityPositioning for edge computing’s explosive progressIn regards to the creatorArticle Matters
TAGGED: computing, Density, Drives, edge, Latency, population, ROI
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