Sizing Real EV Charging Demand Before a Network Build-Out
AUTOMOTIVE & MOBILITYMIXED-METHOD6 MIN READ

Sizing Real EV Charging Demand Before a Network Build-Out

Through fleet and driver research, Zapulse helped a mobility operator separate charging-demand hype from the locations and use-cases that would actually pay back.

Published February 2026Enterprise · India + Southeast Asia6 Weeks · N=1,100

01. The Challenge

A Build-Out Plan Built on Optimism

Our client, a mobility operator planning an EV charging network, faced a familiar trap: charging demand looked enormous in the abstract, but the locations, power levels and use-cases that would actually generate utilisation were far from clear. A network built on optimistic assumptions risked stranded, under-used assets.

Charging demand looks limitless on a slide. Utilisation is decided corridor by corridor, and that's a primary-research question.

They needed on-the-ground demand validation, from real drivers and fleet operators, to size utilisation by corridor and use-case before committing capital to the build-out.

02. Our Approach

Grounding Demand in Real Driver Behaviour

Zapulse ran a 6-week mixed-method programme combining fleet and driver research to estimate utilisation bottom-up rather than from top-down projections.

01

Driver & Fleet Survey

Surveyed 1,100 EV drivers and fleet operators on routes, dwell time, charging habits and willingness to pay across three markets.

02

Corridor Interviews & Observation

Interviewed fleet managers and observed real charging behaviour to understand utilisation drivers no survey captures.

03

Bottom-Up Demand Modelling

Built utilisation estimates corridor-by-corridor from observed behaviour, ranking locations by realistic payback.

03. Research Methodology

Research Methods Deployed

Quantitative Survey

A structured questionnaire fielded to 1,100 drivers and fleet operators covering routes, charging behaviour, dwell time and willingness to pay.

Fleet Interviews

In-depth interviews with fleet managers on electrification plans, duty cycles and charging constraints.

Behavioural Observation

On-site observation of charging patterns to capture real dwell time and utilisation dynamics.

Expert Validation

Utilisation model pressure-tested with mobility and infrastructure experts before delivery.

04. Key Findings

Where Charging Demand Is Real

01

Utilisation Concentrated in Few Corridors

A small set of corridors accounted for the majority of realistic utilisation, while many 'attractive' locations would have been chronically under-used.

"

Zapulse's utilisation map saved us from building where demand simply wasn't. We concentrated capital where the payback was real.

Head of Infrastructure

02

Fleets, Not Retail, Drove Payback

Fleet and commercial use-cases delivered far more reliable utilisation than opportunistic retail charging, reordering the site strategy.

03

Power Level Was Often Over-Specified

Many sites were slated for high-power fast charging that dwell-time data showed was unnecessary, inflating capex without lifting utilisation.

05. The Results

From Optimism to a Payback-Ranked Network

A Payback-Ranked Site Plan

Delivered utilisation estimates by corridor and use-case, giving the client a defensible, evidence-based build sequence.

Capital Concentrated on Winners

Refocused investment on four priority corridors and fleet use-cases, avoiding stranded assets in low-utilisation locations.

A Repeatable Demand Framework

Delivered a bottom-up utilisation model the client can re-run as EV adoption accelerates across new markets.

06. Client Perspective

In Their Own Words

"

Zapulse gave us the confidence to build where demand is real and hold back where it isn't. In an infrastructure business, that discipline is worth a great deal.

HO

Head of Infrastructure

Enterprise · India + Southeast Asia

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