IDEAS home Printed from https://ideas.repec.org/a/ajo/ijbmfr/v8y2025i6p32-43id529.html
   My bibliography  Save this article

Mapping Deep Tech Technologies: Implications for Businesses and Policy Makers

Author

Listed:
  • Fulvio Iavernaro

  • Enzo Capalbo

  • Giuseppe Filitti

Abstract

This study provides a comprehensive patent-based analysis of deep tech innovation. Deep tech, encompassing advanced technologies such as artificial intelligence, robotics, quantum computing, and industrial automation, is recognized for its disruptive potential and reliance on intensive scientific research. By analyzing over 138,000 granted patents granted between 2015 and 2025, the study investigates temporal trends, geographical patterns, and key innovation actors. Results reveal a significant rise in deep tech patenting since 2010, with North America leading in patent quality and impact, Asia dominating in volume, and Europe exhibiting a balanced but moderate innovation output. Engineering and Industrial Technologies emerged as the most patent-intensive domain, while Biotechnology and specialized technologies showed the highest impact. The findings highlight the critical role of private firms in driving deep tech innovation and suggest strategic and policy implications for fostering technological leadership, particularly in Europe. This work contributes to the understanding of deep tech as a converging field of general-purpose technologies shaping future innovation ecosystems.

Suggested Citation

  • Fulvio Iavernaro & Enzo Capalbo & Giuseppe Filitti, 2025. "Mapping Deep Tech Technologies: Implications for Businesses and Policy Makers," International Journal of Business Management and Finance Research, Academia Publishing Group, vol. 8(6), pages 32-43.
    • Handle: RePEc:ajo:ijbmfr:v:8:y:2025:i:6:p:32-43:id:529
    as

    Download full text from publisher

    File URL: https://academiainsight.com/index.php/ijbmfr/article/view/529/263
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:ajo:ijbmfr:v:8:y:2025:i:6:p:32-43:id:529. 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: Lucía Aguado (email available below). General contact details of provider: https://academiainsight.com/index.php/ijbmfr/ .

    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.