The spatio-temporal variations of ecosystem service value (ESV) and the determination of its driving factors are the basis for ecosystem service management and decision-making. Based on the remote sensing monitoring data of land use/land cover in 2013, 2015, 2017, 2019, 2021 and 2023, the remote sensing ecological index and ESV of the Beijing-Tianjin-Hebei region were calculated, and their spatio-temporal evolution, profit and loss situation, and driving factors were analyzed. Our findings showed that, during the research periods, a large amount of cultivated land in the Beijing-Tianjin-Hebei region was transformed into other land use types, among which the area of cultivated land with low permeability and grasslands was the largest. The overall change of ESV shows a trend of decrease and then increase. The spatial distribution of ESV showed that it is higher in mountainous areas than in plain areas, and higher in coastal areas than in inland areas. From 2013 to 2023, the ESV change index in the Beijing-Tianjin-Hebei region generally showed a trend of first decreasing and then increasing. The gain was the greatest during the period from 2017 to 2023. The analysis of the profit and loss situation of ESV showed that the changes in ESV in the Beijing-Tianjin-Hebei region present a trend of first loss, then gain, and finally stabilization. Compared with natural factors, socio-economic factors had a stronger impact on ESV, especially per capita GDP plays a key driving role in it. Meanwhile, the intensity of human activities (HAI value) generally showed an upward trend. Regions with strong economic vitality such as Beijing and Tianjin have a higher intensity of human activities, which reached their peaks of 0.7466 and 0.6801 respectively in 2023. The results of interactive detection showed that the role of each factor in the ecosystem service value of the study area presents a two-factor and nonlinear enhancement, indicating that the ESV in the Beijing-Tianjin-Hebei region is not only affected by the individual action of each driving factor, but also by the compound effects of driving factors. The results provide a basis for coordinating development of the ecological environment and regional economy in the Beijing-Tianjin-Hebei region.