EconPapers    
Economics at your fingertips  
 

Patents and the Fourth Industrial Revolution: The Global Technology Trends Enabling the Data Economy

Yann Ménière ()
Additional contact information
Yann Ménière: European Patent Office

A chapter in Platforms and Artificial Intelligence, 2022, pp 103-109 from Springer

Abstract: Abstract By 2023, it is estimated that more than 29 billion devices will be connected to Internet Protocol networks across the globe, most of which will be creating data in real time. Once combined with big data, 5G or artificial intelligence, they enable the automation of entire business processes, paving the way to a data-driven economy. The study analyses patent applications that constitute the building blocks of this Fourth Industrial Revolution (4IR). The data presented offer insights into which countries, companies and regional clusters are leading the way in 4IR technologies. By highlighting the fields that are gathering momentum and the cross-fertilisation taking place between these fields, it provides a guide for policy and business decision makers to direct resources towards value creation in the digital era.

Keywords: Fourth Industrial Revolution; Digital transformation; Innovation; Industry; Patent; Patent trends; Internet of things; Smart objects; Connected objects; Artificial intelligence; Connectivity; Data; Bid data; Could computing (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-030-90192-9_5

Ordering information: This item can be ordered from
http://www.springer.com/9783030901929

DOI: 10.1007/978-3-030-90192-9_5

Access Statistics for this chapter

More chapters in Progress in IS from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:prochp:978-3-030-90192-9_5