The Nipah virus is responsible various outbreaks among countries of south east Asia, most recent is in Kerala, India. It is considered to be highly contagious and having a range of vectors for transmission. The condition worsens due to the lack of effective inhibitors. This study is first study, which focused to detect the differentially expressed genes among two different NiV studies from 2012 and 2017. The transcriptomic profiling data were retrieved from the sequence archives. The multivariate gene enrichment analyses were performed on the log transformed data from them using pathway, gene ontology, disease, reactome, etc. The comparison study suggests that the down regulated differentially expressed genes are common among them as compared to up regulated ones with statistical significance. However, among the diseased category the upregulated genes are mostly from metabolic pathways and diseased category like metabolic pathways, heart failure, cholesterol metabolism while the downregulated genes linked to various cancers, and viral diseases like hepatitis, dengue, influenza, etc. We found various small molecules mapped in the pathways which are differentially expressed among the studies, which could be targeted so as to control the Nipah infection. In order to design the inhibitors, our study would be useful to extract the effective and broad-spectrum drug targets.