The Current Information On Air Pollution May Not Be Dependable For Health Risk, As There Are Limitations In Terms Of The Spatial And Temporal Resolutions Of The CAQMS. Initially, The Lack Of Ground-based Monitoring Stations In Malaysia Poses A Significant Challenge To Effectively Monitoring Air Quality On A Regional Scale. In An Effort To Address This Issue, This Study Is Currently Underway To Enhance Air Quality Parameter Estimates. This Study Integrates Atmospheric And Meteorological Data, Advanced Statistical Methodologies, And Big Data Analytics To Ensure Accurate Estimations Of Air Pollutant Concentrations. The Resulting Projections Will Encompass The Extended Klang Valley Region, Which Includes Selangor, Kuala Lumpur, Putrajaya, And Negeri Sembilan. The Ultimate Objective Is To Develop A Model That Can Be Applied To Cover The Entirety Of The Country, Thereby Improving Air Quality And Safeguarding Public Health. This Study Employed Advanced Statistical Analysis And Air Modelling Techniques To Provide Accurate Estimates Of PM2.5 Concentrations In The Greater Klang Valley Region. The MAQS Readings Indicated A High Level Of Precision With R2 Values Ranging From 0.7 To 0.9, Which Suggests That The Instrument Is Reliable And Accurate In Detecting PM2.5 Concentrations. The IDW Interpolation Result Demonstrated The Distribution Of PM2.5 Concentration Highest Mostly In Klang, Petaling And Kuala Lumpur Throughout This Study. On Another Note, Gombak, Hulu Langat And Seremban Depicted High PM2.5 Concentrations During July, August And September. According To The OLS Model, Temperature And Relative Humidity Were Significantly Associated With Estimating PM2.5 Concentration For The Whole Greater Klang Valley. The Coefficients Estimate Between All Models For Each District Explicitly Closest To Each Other. Therefore, It Can Be Inferred That One Best-fit Model Can Represent The Entire Greater Klang Valley.