Enterprise search technology enhances organizational efficiency by enabling quick retrieval of information across diverse internal and external data sources, such as emails, cloud storage, and CRM systems. It uses AI capabilities, including natural language processing and machine learning, to understand search intent, rank results by relevance, and handle both structured and unstructured data. Unlike traditional search engines that index and rank web content primarily using keyword-based algorithms, enterprise search operates within a private ecosystem, emphasizing security, role-based access, and integration with business workflows. By improving productivity, decision-making, and collaboration, enterprise search supports various industries like finance, manufacturing, and the public sector in optimizing operations and maintaining compliance. However, challenges such as data accessibility, security, and user adoption must be addressed to fully realize its benefits. Future trends include multimodal and voice-based search, enhanced personalization, and predictive insights, reflecting the ongoing evolution of AI-driven enterprise search solutions.