In the present era, many Petrochemical Industries (PIs) are driven energetically due to IIoT (Industrial Internet of Things) Communication Networks/Architectural Layers (CNs/ALs), abbreviated as PI4.0-CNs/ALs. PI4.0 fruitfully participated to achieve the Circular Economy (CE) by speeding the reutilization, recovery, and recycling of scrap materials by minimizing cost, unproductive operations, energy consumption, emission of flue gases, etc. Recently, it has been ascertained that the identification and measurement of Research Trends (RTs) of CNs-ALs help the PI4.0 to build the future CE. In addressing the said research challenge, the objective of this research dossier is turned towards inculcating into future PI4.0 researchers the RTs of CNs/ALs of PI4.0, so that the researches can be organized over the very weak and moderately performing CNs-ALs to hike the future CE. To materialize the RTs of PI4-CNs/ALs, the authors conducted the Systematic Literature Survey (SLS) focusing on PI4.0-CNs/ALs, i.e., Internet of Things (IoTs), Cyber Physical System (CPS), Virtual Reality (VR), Integration (I), Data Optimization (DO), Enterprise Resource Planning (ERP), Plant Control (PC), Data and Analytics (DA), Network (N), and Information and Data Management (IDM). The authors searched three hundred two research documents, wherein two hundred seventy-five research manuscripts qualified as RQ2. Next, the authors collected the DOIs/URLs corresponding to each CN-AL and explored the Sum of Digit Scoring System (SDSS) to summarize the DOIs/URLs of PI4.0-CNs/ALs. The RTs of DO have been determined as excellent and stronger over 2007-2017 than residue CNs/ALs. Eventually, the authors advised scholars to focus on the research areas of very weak and moderately weak performing CNs/ALs in order to attain future CE.