The state of artificial intelligence implementation across industries: An international comparative study

Manufacturing systems are undergoing a rapid and deep transformation because of new technologies as well as rapidly changing economic, social, and environmental factors. While artificial intelligence methods promise great potential regarding flexibility and productivity for manufacturing systems, there is still a lack of fully implemented and productive use cases in the industry. This paper conducted a panel survey with 856 international industry participants highlighting the current implementation status, as well as drivers and barriers. The results provide an overview and a starting point for future measures in utilizing the potential of artificial intelligence in manufacturing systems.

Authors

Institutions

Publication Details

Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2025.05.001
Citations
2
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
2.48

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The state of artificial intelligence implementation across industries: An international comparative study

Chris A. Eisenbarth, Tim Raffin, Jörg Franke, Tobias Reichenstein et al.
2 citations
Procedia CIRP
Digital Transformation in Industry
2.48
article

The state of artificial intelligence implementation across industries: An international comparative study

Chris A. Eisenbarth, Tim Raffin, Jörg Franke, Tobias Reichenstein, Spyridon Georg Koustas, Christina Stefanie Reich, Nora Hager, Alejandro Fernández Zeidler
article en
2 citations

Abstract

Manufacturing systems are undergoing a rapid and deep transformation because of new technologies as well as rapidly changing economic, social, and environmental factors. While artificial intelligence methods promise great potential regarding flexibility and productivity for manufacturing systems, there is still a lack of fully implemented and productive use cases in the industry. This paper conducted a panel survey with 856 international industry participants highlighting the current implementation status, as well as drivers and barriers. The results provide an overview and a starting point for future measures in utilizing the potential of artificial intelligence in manufacturing systems.

Procedia CIRPVol. 134
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), FOM University of Applied Sciences for Economics and Management (DE)
Bundesministerium für Wirtschaft und Energie
Openalex Percentile: Top 10%
Digital Transformation in Industry
2.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The state of artificial intelligence implementation across industries: An international comparative study — Chris A. Eisenbarth, Tim Raffin, et al. · Procedia CIRP (2025) | TGRS Research Map | TGRS