Abstract: Big data analytics plays the key factor to drive industrial transformation and upgrading. More and more enterprises benefit from industrial big data analytics applications. However, the development of industrial big data still faces four major challenges: insufficient data resources, poor data asset management, data silos, and insufficient depth of application.To overcome the challenges, we need to consolidate the foundation of industrial big data management and seize the opportunity of technological innovation at the property level.We also need to establish standards and rules to forester data interoperability and data share between companies.

Key words: industrial big data, application, challenge