  The fourth industrial revolution is rapidly changing the manufacturing
landscape. Due to the growing research and fast evolution in this field, no
clear definitions of these concepts yet exist. This work provides a clear
description of technological trends and gaps. We introduce a novel method to
create a map of Industry 4.0 technologies, using natural language processing to
extract technology terms from 14,667 research articles and applying network
analysis. We identified eight clusters of Industry 4.0 technologies, which
served as the basis for our analysis. Our results show that Industrial Internet
of Things (IIoT) technologies have become the center of the Industry 4.0
technology map. This is in line with the initial definitions of Industry 4.0,
which centered on IIoT. Given the recent growth in the importance of artificial
intelligence (AI), we suggest accounting for AI's fundamental role in Industry
4.0 and understanding the fourth industrial revolution as an AI-powered natural
collaboration between humans and machines. This article introduces a novel
approach for literature reviews, and the results highlight trends and research
gaps to guide future work and help these actors reap the benefits of digital
transformations.
