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Demand forecasting for disruptive innovations is a major challenge for both company managers and researchers. This article addresses the issue by building an original spatial model, USIDDI (User-centric SImulation for the Deployment of Disruptive Innovations), on an analysis of individuals’ compatibility with the innovation. We empirically test the model on the electric vehicle market and highlight the nature of the recommendations that should be made to companies and governments to accelerate the scaling-up of disruptive innovations.