Rapid economic growth and burgeoning population have contributed to enhanced levels of PM2.5 concentrations in urban regions of India. Evaluation of ambient air quality facilitates the assessment of effectiveness of emission control measures and early identification of new sources. This study provides a comprehensive statistical analysis of PM2.5 concentrations in key urban areas across India, including Delhi, Kolkata, Mumbai, Chennai, Hyderabad, and several regional centers. Data from 2017 to 2023 was analyzed using trend analysis, cluster analysis, principal component analysis, and geostatistical interpolation to understand spatiotemporal variations and sources. The analysis reveals significant differences in spatial distribution of PM2.5 concentrations with high annual averages in urban regions in Indo-Gangetic plain (82-123 µg/m3) and relatively lower concentrations (29 - 46 µg/m3) in southern urban areas of Kerala, Tamil Nadu and Andhra Pradesh. Cluster analysis identified four distinct regions with different pollution patterns. Delhi state had the highest 24-averaged PM2.5 concentrations (112 µg/m3) followed by urban regions in Uttar Pradesh, Bihar and West Bengal (94 µg/m3). Trend analysis showed a general decrease in PM2.5 levels, likely influenced by the COVID-19 lockdown. The The PCA analyses revealed that major sources of PM2.5 concentrations at urban areas included construction, transport, industry, and thermal power plants. Hysplit trajectory analysis highlighted the significant impact of air mass movement patterns on PM2.5 levels, particularly during winter and post-monsoon seasons. The study emphasizes the urgent need for targeted policy interventions to reduce seasonal emissions. Strategies considering regional variations in PM2.5 sources are essential to mitigate public health risks.