Perioperative blood pressure management emphasizes that the traditional one-size-fits-all strategy does not fully consider the individual differences of patients, while individualized blood pressure management reduces postoperative complications by finely regulating the blood pressure of patients. This article reviews the literature on perioperative individualized blood pressure management in recent years, so as to provide reference for perioperative individualized blood pressure management to reduce the incidence of postoperative complications. Individualized blood pressure management sets blood pressure targets based on factors such as baseline blood pressure,pathophysiological changes, type of surgery, and risk, aiming to maintain effective organ perfusion. The implementation of individualized blood pressure management includes routine pumping of vasoactive drugs, analysis of blood pressure waveform characteristics using machine learning algorithms to predict hypotension, and automatic regulation of drug and liquid infusion by closed-loop systems to accurately control hemodynamic goals. In the future, with the development of AI, big data and machine learning technology, individualized blood pressure management will rely more on accurate prediction models and automated control to improve treatment efficiency and safety.