From €4226EUR$4,850USD£3,670GBP
- Report
- October 2025
- 95 Pages
Saudi Arabia
From €4226EUR$4,850USD£3,670GBP
From €4226EUR$4,850USD£3,670GBP
From €4226EUR$4,850USD£3,670GBP
From €4226EUR$4,850USD£3,670GBP
- Report
- October 2025
- 94 Pages
South Africa
From €4226EUR$4,850USD£3,670GBP
From €4226EUR$4,850USD£3,670GBP
From €4226EUR$4,850USD£3,670GBP
- Report
- October 2025
- 85 Pages
South Korea
From €4226EUR$4,850USD£3,670GBP
- Report
- October 2025
- 81 Pages
Spain
From €4226EUR$4,850USD£3,670GBP
- Report
- September 2025
- 82 Pages
Germany
From €4226EUR$4,850USD£3,670GBP
- Report
- September 2025
- 89 Pages
Italy
From €4226EUR$4,850USD£3,670GBP
- Training
- January 2026
- 90 Minutes
Global
From €523EUR$600USD£454GBP
- Report
- October 2025
- 93 Pages
Turkey
From €4226EUR$4,850USD£3,670GBP
- Report
- September 2025
- 92 Pages
Turkey
From €4226EUR$4,850USD£3,670GBP
- Report
- July 2024
- 175 Pages
Global
From €3921EUR$4,500USD£3,405GBP
- Report
- February 2024
- 250 Pages
Global
€4352EUR$4,995USD£3,780GBP
- Report
- November 2022
- 220 Pages
Global
From €3006EUR$3,450USD£2,611GBP
- Report
- July 2022
- 129 Pages
Global
From €2614EUR$3,000USD£2,270GBP
- Report
- November 2021
- 1873 Pages
Global
From €3485EUR$4,000USD£3,027GBP

Edge AI is a form of Artificial Intelligence (AI) that is used to process data at the edge of a network, rather than in the cloud or a data center. This type of AI is used to enable devices to make decisions and take actions without relying on a central server. Edge AI is used in a variety of applications, such as autonomous vehicles, smart home devices, and industrial automation. It is also used to enable real-time analytics and to reduce latency in applications such as video streaming.
Edge AI is becoming increasingly popular due to its ability to process data quickly and efficiently, as well as its cost-effectiveness. It also offers improved security, as data is processed locally and does not need to be sent to the cloud.
Some companies in the Edge AI market include Intel, NVIDIA, Qualcomm, Xilinx, and Google. Show Less Read more