A Review of the Transition from Industry 4.0 to Industry 5.0: Unlocking the Potential of TinyML in Industrial IoT Systems
University of Food Technologies · Trakia University
Abstract
The integration of artificial intelligence into the Industrial Internet of Things (IIoT), supported by edge computing architectures, marks a new paradigm of intelligent automation. Tiny Machine Learning (TinyML) is emerging as a key technology that enables the deployment of machine learning models on ultra-low-power devices. This study presents a systematic review of 110 peer-reviewed publications (2020–2025) identified from Scopus, Web of Science, and IEEE Xplore following the PRISMA protocol. Bibliometric and thematic analyses were conducted using Biblioshiny and VOSviewer to identify major trends, architectural approaches, and industrial applications of TinyML. The results reveal four principal research…
Citation impact
- FWCI
- 100.41
- Percentile
- 99%
- References
- 86
Authors
4Topics & keywords
- Software deployment
- Industry 4.0
- Automation
- Implementation
- Industrial Internet
- Resource (disambiguation)
- Edge computing
- Cognitive computing