The objective of this study was to investigate the potential factors affecting pregnancy rate in Artificially Inseminated (AI) animals under field conditions of Karnataka state. The data used in this experiment was collected from 390 villages in the jurisdiction of 10 Cattle Development Centres (CDC) in 4 tehsils of Mysuru and Hassan districts. Total 11,549 AI’s were performed on 10,744 animals owned by 7,533 farmers during the year of 2015 and 2016. The effect of factors such as farmer economic status, CDC in-charges education, animal breed, season of AI and lactation order on pregnancy rate was determined and male to female ratio assessed. Logistic regression analysis was used to compute the odds ratio and probability of pregnancy rate. The results revealed that overall mean pregnancy rate was 53.36±0.46 per cent and it was noticed significantly higher in animals having 3rd lactation (58.94±0.85%), in Jersey crossbred animals (54.25±0.68%) and inseminators having 11th level of education (55.50±0.57%). Statistical analysis of data shown that, in-charge education, animals breed and lactation order had significant effect on pregnancy rate and farmer economic status and season of AI had non-significant effect. The male to female ratio was observed as 53:47.