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Patents of Industry 4.0 in Spain: topics and actors

Authors: Herrero Solana, Víctor; Jürgens, Björn;

Patents of Industry 4.0 in Spain: topics and actors

Abstract

Se estudian las patentes en España del campo de la Industria 4.0. Se utiliza una metodología compleja y avanzada para la identificación del campo semántico, en base. A más de 326 campos de la Clasificación Común de Patentes (CPC) seleccionados por los revisores de la Oficina Europea de Patentes (EPO). Las patentes fueron recuperadas de la fuente Questel Intelligence (2010-2022). Los resultados indican que España tiene un desarrollo relativo alto en el campo de la producción de energía y vehículos. Al mismo tiempo presenta ciertas deficiencias em software e Inteligencia Artificial. En cuanto a los actores locales destacan empresas de telecomunicaciones como Telefónica y Vodafone, e instituciones como las universidades de Sevilla, Valladolid y el CSIC. Entre los actores externos destacan Qualcomm, Huawei, Ericsson, Samsung y Apple.

Patents in Spain related to Industry 4.0 are examined. A complex and advanced methodology is used for the identification of the semantic field, based on more than 326 codes from the Cooperative Patent Classification (CPC) selected by European Patent Office (EPO) reviewers. The patents were retrieved from Questel Intelligence (2010-2022). The results indicate that Spain has a relatively high development in the field of Power Supply and Vehicles. At the same time, it presents certain deficiencies in Software and Artificial Intelligence. As for local actors, telecommunications companies such as Telefónica and Vodafone, and institutions such as the universities of Seville, Valladolid, and the CSIC stand out. Among the external actors, Qualcomm, Huawei, Ericsson, Samsung, and Apple are notable.

MICIU/AEI/10.13039/501100011033/ - Knowledge Generation Projects 2023 (Grant PID2023-149646NB-I00)

Andalusian FEDER Operational Plan 2021-2027 (Grant C-SEJ-353-UGR23)

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Keywords

Artificial intelligence, Spain, Industria 4.0, España, Industry 4.0, Inteligencia artificial

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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