In today’s fast-paced global economy, entrepreneurs increasingly tend to holistically design their business ventures during the early stages of business creation. This tendency highlights the need for an efficient and systematic approach to market deployment planning due to the dynamic and complex nature of current markets as well as the evolving significance of global strategic positioning. This thesis introduces a new approach in order to develop a market deployment roadmap. This novel methodology includes a systematic approach with the benefits of a qualitative approach to strategic level and quantitative approach to developing a market deployment roadmap. Such a roadmap is a set of scenarios; each stating which markets is targeted for deployment in each phase of the business development (usually over a three to ten-year planning horizon). Based on pertinent market databases, the proposed hybrid modelling approach uses self-organizing maps for market clustering and a multi-objective mixed integer optimization model for market deployment road mapping within each cluster. This methodology can be applied in both national and international market selection and expansion planning, notably for born global ventures. We apply the introduced approach to the case of Global Relief Supply, focused on a venture project aiming to serve a niche in the US and world market for disaster preparation and recovery. Key words: Market deployment, Market selection, Expansion planning, Born Global Business, Optimization, Multi-objective, Clustering, Self-organizing maps, Natural disasters.