Environmental Pollutants stays a important task in Nigeria. While global proof demonstrates that the Internet of Things (IoT), internet connectivity, and predictive analytics can beautify environmental monitoring, their impact in Nigeria stays underexplored. This take a look at examined the relationship between net facility access, predictive analytics, and pollution tracking effectiveness in Nigeria. A quantitative, go-sectional design turned into followed, the use of secondary statistics from the World Health Organization (WHO), the Nigerian Communications Commission (NCC), and the National Environmental Standards and Regulations Enforcement Agency (NESREA). Regression analysis become performed to check two hypotheses: (Ho1) no sizable relationship exists among net facility get right of entry to and pollutants tracking; and (Ho2) no vast dating exists between predictive analytics and pollutants monitoring. The model defined 39.6% of the variance in pollutants monitoring (R² = 0.396), despite the fact that effects have been not statistically extensive (F (2,7) = 2.298, p > zero.05). Internet facility get entry to confirmed a negative however non-huge courting (B = -1.852, p = 0.122), suggesting that advanced connectivity developments towards improving monitoring effectiveness, even though infrastructural gaps weaken its have an effect on. Predictive analytics showed a positive but non-significant effect (B = 6.110, p = 0.719), indicating that pilot machine learning projects in Lagos and Abuja have yet to scale into meaningful national outcomes. These findings suggest that while both factors hold strong potential, their impact in Nigeria is constrained by inadequate infrastructure, weak institutional support, and limited technical capacity. The study concluded that technological adoption alone is insufficient to improve environmental monitoring without complementary investments in reliable internet infrastructure, robust data integration, and regulatory enforcement. It recommends strengthening internet connectivity, scaling predictive analytics projects, improving data quality, and fostering public–private partnerships to achieve sustainable, real-time pollution monitoring across Nigeria.

Keywords: Internet of Things (IoT), Smart Environment, Pollution Monitoring, Internet Access, Predictive Analytics, Nigeria