Study on the Economic Potential of Far Edge Computing in the Future Smart Internet of Things
Sector: Broadband
Source: Single Electronic Data Interchange Area (SEDIA)
The aim of the study is to analyse Europe’s economic opportunities and to derive solid economic data, as well as future policy development for Euope’s digital, industrial and green strategies. Our objectives are:1) To identify and measure the strengths, weaknesses, opportunities and challenges of European stakeholders and their competitiveness in a cloud continuum with strong growth at the Far Edg
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | closed |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The aim of the study is to analyse Europe’s economic opportunities and to derive solid economic data, as well as future policy development for Euope’s digital, industrial and green strategies. Our objectives are:1) To identify and measure the strengths, weaknesses, opportunities and challenges of European stakeholders and their competitiveness in a cloud continuum with strong growth at the Far Edge;2) To quantify with broad and robust data Europe’s economic opportunities, in general and in four important vertical areas: mobility, agriculture, energy, and manufacturing;3) To derive scenarios in said sectors, which demonstrate ecological and green benefits of strengthening Far Edge computing;4) To discuss the impact of Far Edge computing in the context of the European data, industrial and green strategies;5) To identify and evaluate the potential impact of European measures at programme and policy level in order to support this opportunity for European industry. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
