The objective of this study is analyzing the impact of technology adoption on wheat productivity in Dabat woreda, north Gondar zone of Amhara region, Ethiopia. A sample of 348 households comprised of 174 adopters and 174 non- adopters, were selected by using multistage sampling procedure from three kebeles found in Dabat woreda. Woken, janbelew and Tenseye were the selected kebeles wheat productivity cultivated by adopters and non-adaptors in the production year of 2020/21. The study used descriptive statics such as mean, standard deviation, frequency, percentage, t-test, and chi-square test methods for data analysis. A parametric estimation of Propensity Score Matching method and a parametric method of Logit model were employed. The researcher used a logit model to identify factors affecting adoption of agricultural technology on wheat productivity. a Propensity Score Matching (PSM) method is also used to estimate the impact of technology adoption on wheat productivity. The results revealed that educational status, chemical fertilizer, pesticides, improved seed, extension contact and access to credit were significantly affect adoption decision of wheat productivity. The result of impact of wheat row planting, improved seed, fertilizer and pesticides were technology adoption on wheat productivity shows that, households that used agricultural technology tend to get more wheat yield relative to from non-adaptors. The study has also indicated that adopting of technology had a potential of increasing farm household’s income. Governmental and non-governmental organizations in the study area should give due attention for adoption of agricultural technology and minimize wheat disease problem in the study area.