Solar pump irrigation (SPI) is considered as a climate-smart adaptation strategy. This irrigation system is trying to expand throughout the country in rice cultivation. In this context, the objectives of the study were to assess the extent of use of SPI, to determine the impact of using SPI and the factors influence the use of SPI. The study was conducted in Chuadanga district and Jhenaidah District in Bangladesh. Data were collected from randomly selected 298 farmers in a face to face interview followed by a structured questionnaire. Descriptive statistics such as mean, standard deviation, percentage, frequency and inferential analysis such as binary logistic regression which is popularly known as logit model and t-test were run to interpret the data. The surveys revealed that the majority of the farmers were non-users of SPI despite positive impact of using SPI. A little more than one-third (37.9%) of the farmers used SPI and it was more profitable to use SPI. The Logit model explored that farmers level of education, farming experience, farm size and extension contact significantly influence farmers use of SPI. The public and private sectors of Bangladesh should establish more SPI in various districts and the extension agents should motivate farmers to use this climate smart adaptation strategy for sustainable rice production.