Industry 4.0 Research in Emerging Economies: A Bibliometric Comparison of Brazil and Globally Leading Countries.

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Title: Industry 4.0 Research in Emerging Economies: A Bibliometric Comparison of Brazil and Globally Leading Countries.
Authors: da Rocha, Leandro Scala1,2 scala.leandro@ufrrj.br, De Oliveira Matias, Ítalo2
Source: Journal of Technology Management & Innovation. 2026, Vol. 21 Issue 1, p112-124. 13p.
Subjects: Industry 4.0, Countries, Internet of things, Developing countries, Bibliometrics, Machine learning, University research, Big data
Geographic Terms: Brazil
Abstract: Objective: This study aims to map and analyze the Industry 4.0 research landscape in Brazil, comparing it with leading countries in order to identify dominant trends, research gaps, and Brazil’s position and potential contributions to the global knowledge base. Methods: A bibliometric approach was adopted based on scientific publications indexed in the Scopus database. Text mining and network analysis techniques were applied using the VOSviewer software to examine publication growth, co-authorship collaboration patterns, and thematic clusters. Comparative analyses between Brazil and leading countries were conducted to identify convergences and divergences in research focus over time. Results: The findings indicate strong global growth in Industry 4.0 research, while Brazil exhibits a comparatively slower expansion. Brazilian publications largely align with international research themes, particularly those related to the Internet of Things (IoT), Big Data, and Machine Learning. However, Brazilian studies show a distinctive emphasis on applications aimed at operational efficiency and sustainability. Conclusions: The study concludes that, although Brazil follows global Industry 4.0 research trends, differences remain in the scale and pace of scientific production. The results highlight opportunities to strengthen Brazil’s position through increased investment in research and development and expanded international collaboration. These insights are relevant for researchers, policymakers, and industry professionals seeking to promote strategic actions that enhance the impact and global integration of Brazilian Industry 4.0 research. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Technology Management & Innovation is the property of JOTMI Research Group and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Industry 4.0 Research in Emerging Economies: A Bibliometric Comparison of Brazil and Globally Leading Countries.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Technology+Management+%26+Innovation%22">Journal of Technology Management & Innovation</searchLink>. 2026, Vol. 21 Issue 1, p112-124. 13p.
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  Data: <searchLink fieldCode="DE" term="%22Industry+4%2E0%22">Industry 4.0</searchLink><br /><searchLink fieldCode="DE" term="%22Countries%22">Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+of+things%22">Internet of things</searchLink><br /><searchLink fieldCode="DE" term="%22Developing+countries%22">Developing countries</searchLink><br /><searchLink fieldCode="DE" term="%22Bibliometrics%22">Bibliometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22University+research%22">University research</searchLink><br /><searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Brazil%22">Brazil</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Objective: This study aims to map and analyze the Industry 4.0 research landscape in Brazil, comparing it with leading countries in order to identify dominant trends, research gaps, and Brazil’s position and potential contributions to the global knowledge base. Methods: A bibliometric approach was adopted based on scientific publications indexed in the Scopus database. Text mining and network analysis techniques were applied using the VOSviewer software to examine publication growth, co-authorship collaboration patterns, and thematic clusters. Comparative analyses between Brazil and leading countries were conducted to identify convergences and divergences in research focus over time. Results: The findings indicate strong global growth in Industry 4.0 research, while Brazil exhibits a comparatively slower expansion. Brazilian publications largely align with international research themes, particularly those related to the Internet of Things (IoT), Big Data, and Machine Learning. However, Brazilian studies show a distinctive emphasis on applications aimed at operational efficiency and sustainability. Conclusions: The study concludes that, although Brazil follows global Industry 4.0 research trends, differences remain in the scale and pace of scientific production. The results highlight opportunities to strengthen Brazil’s position through increased investment in research and development and expanded international collaboration. These insights are relevant for researchers, policymakers, and industry professionals seeking to promote strategic actions that enhance the impact and global integration of Brazilian Industry 4.0 research. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Technology Management & Innovation is the property of JOTMI Research Group and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 112
    Subjects:
      – SubjectFull: Industry 4.0
        Type: general
      – SubjectFull: Countries
        Type: general
      – SubjectFull: Internet of things
        Type: general
      – SubjectFull: Developing countries
        Type: general
      – SubjectFull: Bibliometrics
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      – SubjectFull: Machine learning
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      – SubjectFull: University research
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      – SubjectFull: Big data
        Type: general
      – SubjectFull: Brazil
        Type: general
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      – TitleFull: Industry 4.0 Research in Emerging Economies: A Bibliometric Comparison of Brazil and Globally Leading Countries.
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            NameFull: da Rocha, Leandro Scala
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            NameFull: De Oliveira Matias, Ítalo
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            – D: 01
              M: 01
              Text: 2026
              Type: published
              Y: 2026
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