Industry 4.0 is the fourth industrial revolution for decentralized production through shared facilities to achieve on-demand manufacturing and resource efficiency. It evolves from Industry 3.0 which focuses on routine operation. Data analytics is the set of techniques focus on gain actionable insight to make smart decisions from a massive amount of data. As the performance of routine operation can be improved by smart decisions and smart decisions need the support from routine operation to collect relevant data, there is an increasing amount of research effort in the merge between Industry 4.0 and data analytics. To better understand current research efforts, hot topics, and tending topics on this critical intersection, the basic concepts in Industry 4.0 and data analytics are introduced first. Then the merge between them is decomposed into three components: industry sectors, cyber-physical systems, and analytic methods. Joint research efforts on different intersections with different components are studied and discussed. Finally, a systematic literature review on the interaction between Industry 4.0 and data analytics is conducted to understand the existing research focus and trend.

工业4.0是第四次工业革命，通过共享设施实现分散式生产，实现按需制造和资源效率。它是从注重日常操作的工业3.0演变而来的。数据分析是一组专注于从大量数据中获得可操作的洞察力以做出明智决策的技术。由于日常运营的绩效可以通过智能决策来提高，而智能决策需要日​​常运营的支持来收集相关数据，因此工业4.0与数据分析融合的研究工作越来越多。为了更好地了解这一关键交叉点的当前研究工作、热点话题和趋势话题，首先介绍工业 4.0 和数据分析的基本概念。然后它们之间的融合被分解为三个组成部分：工业部门、网络物理系统和分析方法。研究和讨论了不同组成部分的不同交叉点的联合研究工作。最后，对工业4.0与数据分析之间的相互作用进行了系统的文献回顾，以了解现有的研究重点和趋势。