IDEAS home Printed from https://ideas.repec.org/p/ipt/iptwpa/jrc129295.html
   My bibliography  Save this paper

AI Watch: AI uptake in Manufacturing

Author

Listed:

Abstract

This AI Watch report analyses AI uptake in manufacturing. It recognizes that AI can empower a variety of applications in the manufacturing sector and it can impact all stages of production; in particular a major role for AI lies in blending data from different processes, factory floors or production sites to enable holistic optimizations. However, there is a strong need to access data and, furthermore, the need for quality data. Furthermore, standardization of data formats and of communication protocols will be a fundamental enabler for data sharing. Involving human resources in the AI uptake process is also an essential need in manufacturing, both at the workforce and management level. The current report shows that AI uptake in manufacturing has accelerated over the last decade, but it is still at its early stage: for instance, In the last five years, the annual VC investment in AI and manufacturing has accounted for up to 15% of the total VC investment in the sector. At EU27 level, we observe that Germany, France, Italy and Spain lead in all the rankings of AI uptake in manufacturing, indicating significant disparities with respect to the level of AI uptake in manufacturing across the EU Member States.

Suggested Citation

  • DE NIGRIS Sarah & HAARBURGER Richard & HRADEC Jiri & CRAGLIA Massimo & NEPELSKI Daniel, 2022. "AI Watch: AI uptake in Manufacturing," JRC Research Reports JRC129295, Joint Research Centre.
  • Handle: RePEc:ipt:iptwpa:jrc129295
    as

    Download full text from publisher

    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC129295
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Artificial Intelligence; manufacturing;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ipt:iptwpa:jrc129295. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Publication Officer (email available below). General contact details of provider: https://edirc.repec.org/data/ipjrces.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.