Intramuscular fat (IMF) content is closely linked to meat quality, and the process of IMF deposition is intricate. Despite numerous transcriptomic studies on IMF, varying sample sizes and data analysis methods have led to inconsistent gene expression patterns and results. To identify the pivotal genes influencing pig IMF content, we performed a meta-analysis on 10 pig muscle transcriptome datasets with a total of eighty samples, including forty each of high and IMF samples. Subsequently, we conducted PPI network analysis, as well as GO and KEGG functional enrichment analysis, and quantified the trait locus (QTL) analysis on the differentially expressed genes (DEGs).The meta-analysis revealed 494 DEGs, with 321 upregulated and 173 downregulated DEGs observed in the high IMF group. These DEGs were found to be enriched in processes associated with adipocyte differentiation and fat anabolism. Notably, a cluster comprising five genes (FASN, SCD, PLIN1, LEP, and G0S2) was identified. QTL analysis demonstrated that five DEGs, including FASN and SCD, corresponded to six QTLs associated with IMF.Based on our findings, we propose that FASN, SCD, PLIN1, LEP, G0S2, PTN, DGAT2, and ADIPOQ are the key genes influencing IMF content in pigs. Moreover, we assert that meta-analysis is a reliable method for integrating transcriptome data and identifying the crucial genes that impact IMF content.