# State of Industry 5.0--Analysis and Identification of Current Research Trends
## 1 Introduction
\begin{table}
\begin{tabular}{c c c c} \hline \hline  & **Industry 4.0** & **Industry 5.0** \\ \hline \multirow{4}{*}{_Objective_} & \(\bullet\) & Smart manufacturing (smart mass production, smart products, smart working, smart supply-chain), & \(\bullet\) & Sustainability, \\  & \(\bullet\) & System(s) optimization. & \(\bullet\) & Environmental stewardship, \\ \hline \multirow{4}{*}{_Systemic Approaches_} & \(\bullet\) & Smart supply-chain, & \(\bullet\) & Human-Centricity, \\  & \(\bullet\) & System(s) optimization. & \(\bullet\) & Social benefit. \\ \hline \multirow{4}{*}{_Human Factors_} & \(\bullet\) & Real-time data monitoring, & \(\bullet\) & Utilization of technology ethically to advance human values and needs, \\  & \(\bullet\) & Integrated chain that follows through end of & \(\bullet\) & Socio-centric technological decisions, \\  & & life-cycle phases. & \(\bullet\) & 6R methodology and logistics efficiency \\ \hline \multirow{4}{*}{_Human Factors_} & \(\bullet\) & Human Reliability, & \(\bullet\) & Employee safety and management, \\  & \(\bullet\) & Human-computer interaction, & \(\bullet\) & Learning/training for employees. \\ \hline \multirow{4}{*}{_Enabling Technologies and Concepts_} & \(\bullet\) & Cloud Computing, & \(\bullet\) & Cloud Computing, \\  & \(\bullet\) & Internet of Things, & \(\bullet\) & Internet Of Things, \\  & \(\bullet\) & Big Data and Analytics, & \(\bullet\) & Big Data and Analytics, \\  & \(\bullet\) & Cyber Security, & \(\bullet\) & Cyber Security, \\  & \(\bullet\) & Digitization (simulation, digital twins, & \(\bullet\) & Digitization (simulation, digital twins, \\  & & artificial intelligence, augmented, virtual, or mixed technology), & \(\bullet\) & Artificial intelligence, augmented, virtual, or mixed technology), \\  & \(\bullet\) & Automation (advanced robotics, remote monitoring, autonomous robots, & \(\bullet\) & Human-machine-interaction, \\  & & machine-to-machine communication), & \(\bullet\) & Multi-lingual speech and gesture \\  & \(\bullet\) & Cyber-physical systems, & \(\bullet\) & Tracking technologies for mental and physical occupational strain, \\  & \(\bullet\) & Horizontal and Vertical Integration (PLC, & \(\bullet\) & Collaborative Robots, \\  & & Supervisory Control and Data Acquisition & \(\bullet\) & Bio-Inspired safety and support Equipment, \\  & \(\bullet\) & \(\bullet\) & Decision support systems, \\  & \(\bullet\) & Additive Manufacturing. & \(\bullet\) & Smart Grids, \\  & & \(\bullet\) & Predictive maintenance. \\ \hline \multirow{4}{*}{_Environmental Implications_} & \(\bullet\) & Systems are economic, & \(\bullet\) & Waste prevention and recycling, \\  & \(\bullet\) & Waste prevention and recycling, & \(\bullet\) & Renewable Energy sources, \\ \cline{1-1}  & \(\bullet\) & \(\bullet\) & Increased material consumption, & \(\bullet\) \\ \cline{1-1}  & \(\bullet\) & Increased energy usage, & \(\bullet\) & Energy-efficient data storage, transmission, \\ \cline{1-1}  & \(\bullet\) & \(\bullet\) & Increased energy usage, & Smart and energy-autonomous sensors. \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Contrast of Industry 4.0 and Industry 5.0. To understand the perspective of what Industry 5.0 is, its evolution, and the technologies and domains that enable meeting Industry 5.0, in this paper text mining tools and techniques are used to explore the published literature landscape to identify commonalities and identify future directions of research in spearheading the transformation towards Industry 5.0. The remainder of the paper is organized as follows, Section 2 details on the data gathering process detailing on the databases from which the data is extracted and analyzed, Section 3 expands on the text mining approach used and highlights the findings on the current state of Industry 5.0 research, and Section 4 concludes the article and identified the contributions.