Abstract: Smart breeding is an innovative breeding approach that deeply integrates modern information technologies, such as artificial intelligence and big data, with biotechnologies including gene editing. Its goal is to efficiently develop new varieties with superior quality, high yield, and enhanced stress resistance through precise genomic design. This paper systematically reviews the current progress, key technologies, and applications of smart breeding in tobacco, and analyzes its challenges and future trends. At present, tobacco smart breeding has made remarkable progress in germplasm resource bank construction, genome mapping, multi-omics data integration, and the development of breeding decision-making platforms, leading to preliminary advances in the trait genetic analysis and prediction. However, several challenges remain, including difficulties in the high-throughput characterization of tobacco leaf quality and style, as well as the lack of standardized omics data. In the future, with improvements in data standardization, algorithm optimization, and reductions in technological costs, tobacco smart breeding is expected to achieve greater precision and intelligence, thereby effectively facilitating the development of low-tar, high-quality, and highly aromatic tobacco varieties, and ushering tobacco breeding into a new digital era.