With the development of the 5G, Internet of Things (IoT), and cloud computing technologies, big data in manufacturing systems has become to be a key resource to enable the intelligent operation of manufacturing systems. To further release the benefits of manufacturing data, a comprehensive review of manufacturing big data analytics was given. First, the characteristic of manufacturing big data, the paradigm of data science, and the application model of big data-driven intelligent manufacturing are proposed. Second, three generations of big data analytics are discussed to reveal the development process. Third, the applications of manufacturing big data analytics methods are reviewed from product design, production scheduling, quality optimization and equipment maintenance. Finally, the challenges faced by big data analytics in manufacturing are discussed, and the future development direction of big data analytics is proposed. It is hoped that these views will provide insights for manufacturing big data analysis methods and promote the further development of manufacturing big data technology.