Title: AI tools for advancement of manufacturing sector: a systematic review, bibliometric analysis, thematic synthesis and technological framework development

Authors: Kunal Sharma; Vikrant Sharma; Mukheshwar Yadav

Addresses: School of Engineering and Technology, Mody University of Science and Technology, Lakshmangarh, Rajasthan, India ' Department of Mechanical Engineering, School of Engineering and Technology, Mody University of Science and Technology, Lakshmangarh, Rajasthan, India ' Department of Mechanical Engineering, School of Engineering and Technology, Mody University of Science and Technology, Lakshmangarh, Rajasthan, India

Abstract: The burgeoning field of artificial intelligence (AI) has had a profound impact on a wide range of industrial sectors. This transformative paradigm shift aims to fundamentally change traditional manufacturing methodologies. The primary goal of this study is to provide a comprehensive overview of the current state and future path of AI applications in manufacturing settings. A bibliometric analysis is carried out to determine the evolutionary path of AI-centric research in the manufacturing domain. Subsequently, a thematic synthesis is performed to categorise and combine the findings, revealing overarching themes. Furthermore, this study adds significantly to the field by providing a technological framework for the integration and deployment of AI tools aimed at augmenting manufacturing processes. Research into AI in the manufacturing sector has increased dramatically since 2019, concentrating mainly on machine learning, deep learning and computer vision. The framework outlines major barriers, factors that help and practical uses of AI, giving industry partners valuable ideas. The combined insights from this study provide a solid foundation for informed decision-making, strategic planning, and the development of future innovations at the intersection of AI and manufacturing. [Submitted 11 April 2024; Accepted 1 July 2025]

Keywords: artificial intelligence; AI; AI tools; manufacturing sector; bibliometric analysis; thematic analysis; framework development.

DOI: 10.1504/IJMR.2025.150040

International Journal of Manufacturing Research, 2025 Vol.20 No.1, pp.1 - 39

Received: 11 Apr 2024
Accepted: 01 Jul 2025
Published online: 23 Nov 2025 *

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