Arunachal Pradesh is one such state in the country whose economy is dependent on rainfed agriculture. So, it is necessary to know the probability of the occurrence of rainfall. The objective of the study was to understand the rainfall distribution pattern on the temporal scale and to assess the long-term (i.e. 1993-2022) trends in monthly and annual rainfall variability at six selected districts of Arunachal Pradesh, by using the Innovative Trend Analysis (ITA) method. Such a study is important for planning agricultural practices, harvesting the potential of available water, and designing soil and water conservation interventions. The rainfall analysis was conducted for temporal rainfall distribution pattern, rainfall characterization, number of rainy days and non-rainy days, and weekly rainfall. It was observed that July is the wettest month of the state with rainfall amounts varying from 337 to 574 mm. Further, it was observed that in all the stations the highest weekly rainfall arrives in the 22nd to 30th week of the year. The rainfall analysis indicated that during the non-rainy season from October to March. It was observed that the number of rainy days ranged from 192 to 250 days whereas non-miny days ranged from 116 to 175 days. Due to its ability to provide results in graphical form, the ITA approach is a very useful tool for detecting patterns in rainfall time series data. Based on the study, it is observed that an increasing trend is seen for the Pasighat, Roing, and Yingkiong districts, whereas a decreasing trend is detected in Changlang and Tawang, and no trend is detected for Itanagar. The rainfall analysis can help in planning agricultural activities such as sowing, seed distribution, drought management, planning water harvesting structures, soil conservation works, and the design of spillways.