M&S practitioners outside of NASA comprise a large and attractive market. Many large government contractors serving NASA perform M&S work for NASA and other federal agencies. Several of these contractors and Department of Defense representatives have already expressed procurement interest in the proposed M&SaaS solution. Additionally, the Community Coordinated Modeling Center (CCMC) is a collaborative effort between multiple federal organizations to provide information and models relating to space science research. Member organizations in this partnership ¬ñ which includes, among others, the Air Force Materiel Command (AFMC), the Air Force Research Laboratory (AFRL), the National Oceanic and Atmospheric Administration (NOAA) and the Office of Naval Research (ONR) ¬ñ comprise an excellent collection of agencies that could benefit from M&SaaS. M&S activities span other lucrative commercial industries such as pharmaceuticals and finance, to list a few, and Parabon has existing customers in these sectors that will benefit from M&SaaS. The higher productivity, improved ease-of-use and reduced costs afforded by the proposed solution will be attractive to M&S practitioners in these and other industries where M&S is used. Moreover, the solution is generally applicable to domains not directly involved in M&S, for example, bioinformatics, photo-realistic rendering and intelligence data processing. Use of M&S at NASA is pervasive and the commercialization applications for M&SaaS are numerous. For example, Earth climatologists at NASA rely heavily on climate models to assess the potentially far-reaching consequences of greenhouse gas emissions; NASA space mission programs use simulation extensively to orchestrate mission plans, engineer flight systems and conduct contingency planning exercises; and NASA space science programs model cosmological phenomena to answer some of humankind's deepest questions. None of these types of investigations are possible without extensive use of M&S. Nearly every M&S application at NASA that is built around the traditional software delivery paradigm (release, install, patch and upgrade) is a candidate for migration to a service-centric delivery model under M&SaaS. The M&SaaS solution applies equally well to many domains that do not strictly employ M&S. For example, modern scientific instruments, ranging from satellite imaging systems to particle accelerators to radio telescopes, can generate data at extraordinary rates and corresponding declines in data storage costs have invited researchers to generate tera- and now petabyte scale datasets. The researchers that work on such datasets share many characteristics in common with the M&S practitioners and the proposed M&SaaS solution will enable them to collaborate more effectively and perform computational analyses on their data with greater ease.