The demand for and reliance on heavy construction equipment has grown in parallel with the size and complexity of construction projects. Apart from the initial purchase price, the most expensive part of a construction equipment is the maintenance and repair costs. Hence, there is a need for appropriate maintenance management techniques to minimize costs and utilize the equipment to serve its design life. One part of this technique is to interpret available maintenance data and turn it into useful information to evaluate, predict, manage, and improve the performance of the equipment in the best possible way. According to a pilot research and discussions with experienced experts working in various construction organizations, the most commonly utilized method for recording and managing maintenance tasks is Microsoft Excel and papers [generally known as file or documents]. Even if this method is easy and less costly to use, it has many drawbacks. For instance, multi-user access to data is not possible; there are data redundancy and inconsistency; they are highly exposed to error; and data are stored as isolated data-file, which makes it difficult for performance calculations. Thus, this study conducts a detailed investigation using a case study approach with an objective of assessing the maintenance data management system practiced b y local contractors. The finding shows that the selected contractors still use file (traditional) system to manage their maintenance works. The study develops a Computerized Maintenance Management System based on analysis of data collected from interview, direct observation, and documentation from professionals working in the maintenance departments’ of the selected contractors along with works of literature. The developed system is expected to assist and improve the maintenance management activities by providing an organized data for evaluating performances & utilizing key indicators/ metrics to make equipment maintenance management-related decisions more easily. Keywords: Construction Equipment Management, Equipment Maintenance, CMMS, CEMMS, Maintenance management