This IDC Survey Spotlight analyzes the choice of deployment location for machine learning (ML) software and the rationale behind the choice. Data gravity plays a significant role in the choice of deployment location. With a vast majority of enterprise data used for model training and testing being in on-premises locations, they are a natural choice. The as-a-service/self-service provisioning capabilities enabled by private and public cloud also favor these locations as a choice for ML software deployment. With edge-based use cases for AI/ML technologies increasing, IDC expects to see wider deployment of ML inferencing software in edge locations going forward. This IDC Survey Spotlight is based on data from IDC's Future Enterprise Resiliency and Spending Survey, Wave 7, conducted in August 2021. This question surveyed 920 respondents from a variety of industries across the globe.