Sophus3 EV Index

How ready is Europe for electric vehicles?

The Sophus3 EV Index provides an objective measure of the conditions that enable, or hold back, mainstream EV adoption. It combines consumer interest, affordability and choice, and public charging infrastructure into one market view.

Published quarterlyEuropean market comparisonDemand + supply + infrastructure
Pillar 01Consumer interestOnline research, model-page behaviour and registrations
Pillar 02Affordability & choiceModel availability and relative EV / ICE pricing
Pillar 03Charging infrastructurePublic charging provision relative to fleet needs
Explore published data

Compare EV readiness across three markets and two quarters

Compare overall EV readiness in Germany, France and the UK. These are published index scores for Q1 and Q2 2026, not a live feed or a sales forecast.

Q2 2026 · overall EV Index

Index points: 100 represents parity with conventionally fuelled vehicles. Scores may exceed 100. The chart uses a 0-100 scale for these selected observations.

Published scores and quarter-on-quarter change
MarketQ1 2026Q2 2026Change
Germany6876+8 points
France6470+6 points
UK5967+8 points

Source: Sophus3, 12 August 2026. This extract covers three of the six markets in the original publication. Read the full report for market commentary and the individual interest, affordability and infrastructure pillars.

Three pillars

Three forces shaping EV adoption in one index

A score of 100 represents parity between electric and conventionally fuelled vehicles in the conditions Sophus3 measures. Showing each pillar separately makes it easier to see where a market is advancing, and where a single weakness could slow progress.

Consumer interest

Sophus3 follows the journey from digital research to sale, including search activity, automotive website behaviour and vehicle registrations, to compare appetite for EV and ICE vehicles.

Affordability & choice

The Index compares the number of EV and ICE models on offer and the pricing of equivalent vehicles, including relevant purchase incentives where applicable.

Charging infrastructure

Public charging availability is compared with conventional refuelling provision and weighted against both the current BEV fleet and the wider passenger-car parc.

Coverage

A consistent view across key European markets

The EV Index is designed to help manufacturers, marketers, industry bodies and policy stakeholders separate headline sales numbers from the underlying conditions shaping demand.

UKGermanyFranceItalySpainNetherlands
EV charging and European market intelligence illustration
Quarterly European EV readiness
EV Index archive

Latest EV Index analysis

Explore Sophus3's published EV Index commentary and market analysis already migrated into this standalone site.

Service details

What automotive teams need to know before a project starts

Clear definitions of the data, method, outputs and business problems each service is designed to address.

What is the Sophus3 EV Index?

The Sophus3 EV Index is an evidence framework for comparing electric-vehicle market readiness. It brings together factors that influence adoption, such as consumer demand, vehicle choice, affordability and charging infrastructure, to provide more context than a registration ranking alone.

Which factors influence EV market readiness?

Relevant factors include digital consumer interest, the range of available models, pricing and affordability, incentives, charging provision and the wider market environment. The weight and interpretation of each factor should reflect the commercial question and the period being assessed.

How is the EV Index different from sales data?

Registrations describe vehicles already sold, while a readiness view examines the conditions that may enable or constrain future adoption. Comparing demand and market conditions with sales can reveal where interest is ahead of supply, affordability or infrastructure.

How can automotive teams use the EV Index?

Teams can use it to compare markets, prioritise further analysis, challenge launch assumptions, contextualise EV performance and support planning conversations. It is most useful as a decision input alongside brand, model, competitor and first-party evidence.

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