The growing global demand for seafood underscores a pressing need for efficiency, quality enhancement, and sustainable practices in the fish processing industry. Intelligent fish processing technology, which leverages advancements in artificial intelligence (AI), machine learning (ML), robotics, and big data analytics, is transforming conventional fish processing methods. This review comprehensively analyzes the fundamental technologies underpinning intelligent fish processing, such as machine vision, image analysis, robotic automation, deep learning, and big data analytics. These technologies are instrumental in optimizing processing efficiency, minimizing labor costs, and maintaining high standards of product quality and consistency. Practical applications of these innovations are discussed, including automated sorting and grading, precision slaughtering and cutting, and the use of intelligent packaging systems, which collectively drive improved production efficiency and enhance product competitiveness in the marketplace. Additionally, this paper explores future industry trends, emphasizing the role of the Internet of Things (IoT), cloud computing, and personalized consumer preferences in advancing the sector towards more intelligent and automated processes. Furthermore, the review addresses key challenges in implementing these technologies, such as the need for scalable infrastructure and enhanced data management for real-time monitoring and quality control. By providing a cohesive overview of intelligent fish processing, this paper offers valuable insights that support both scientific exploration and industry adaptation, marking a significant step towards a high-quality, sustainable, and consumer-responsive fish processing industry.