Intelligent Search tools and technologies are very useful for leaders, it impacts leader’s performance and efficiency overall in making decisions process. Intelligent search is cutting-edge technology that revolutionizing the way individuals and organizations use data to make strategic and well-informed decisions improves decision accuracy while also saving time and resources. This paper aims to explore the impact of Intelligent Search Technologies and Data Analysis on decision-making for leaders’ contexts. Therefore, due to limitation of recent researches on topic, this research will investigate the current Intelligent tools and technologies being utilized in the for decision-making for leaders and how it affects their efficiency and performance in making better decisions. However, this paper attempts to offer an empirical understanding of the possible benefits of intelligent research tools and their ramifications for leaders by relying on two main hypotheses. “Intelligent Search Technologies and Data Analysis enhance the decision-making process for leaders” and contends that Intelligent Search Technologies and Data Analysis have a positive impact on the decision-making process. On the other hand, the second hypothesis “utilizing intelligent search by leaders enhances their performance” claims that leaders who use intelligent research tools have better performance and more efficiency. Clarity of the topic will be delivered by implementing both primary and secondary information in order to verify the hypotheses tested. Primary data entailed the distribution of surveys to Leaders from different organizations who are in charge of making decisions. in addition, a comprehensive review of secondary sources has been collected. The outcomes of the literature review and survey indicate that intelligent search tools and technologies are generally beneficial. Employing intelligent search strategies can benefit leaders by providing them with intelligent search tools, which can also improve productivity, efficiency and decision-making in general. Although intelligent search tools have enormous potential for many different industries, there are some limitations, such as the need for qualified professionals and data privacy. Therefore, best practices should be implemented in the search process to maximize the benefits of using cutting-edge technology such as Intelligent Search tools. It is recommended to Sort and compile data and use good semantics. In conclusion, an important turning point in the development of the era is expected when intelligent search is responsibly integrated into decision-making. This integration will likely encourage innovation and improve decision-making.