- Report
- July 2025
- 304 Pages
Global
From €4318EUR$4,950USD£3,763GBP
- Report
- February 2026
- 174 Pages
Global
From €5103EUR$5,850USD£4,447GBP
- Report
- February 2025
- 200 Pages
Global
From €3916EUR$4,490USD£3,413GBP
- Report
- January 2026
- 163 Pages
Global
From €4143EUR$4,750USD£3,611GBP
- Report
- January 2026
- 180 Pages
Global
From €3925EUR$4,500USD£3,421GBP
- Report
- August 2025
- 141 Pages
Global
From €2311EUR$2,650USD£2,014GBP
- Report
- July 2025
- 170 Pages
Global
From €4230EUR$4,850USD£3,687GBP
- Report
- October 2025
- 230 Pages
Global
From €4230EUR$4,850USD£3,687GBP
- Report
- November 2025
- 379 Pages
Global
From €1425EUR$1,691USD£1,200GBP
- Report
- April 2025
- 920 Pages
Global
From €1781EUR$2,114USD£1,500GBP
- Report
- July 2025
- 310 Pages
Global
From €4318EUR$4,950USD£3,763GBP
- Report
- July 2025
- 153 Pages
Global
From €2311EUR$2,650USD£2,014GBP
- Report
- June 2025
- 124 Pages
Global
From €4056EUR$4,650USD£3,535GBP
- Report
- February 2026
- 86 Pages
Global
From €5103EUR$5,850USD£4,447GBP
- Report
- February 2026
- 375 Pages
Global
From €5103EUR$5,850USD£4,447GBP
- Report
- February 2026
- 184 Pages
Global
From €5103EUR$5,850USD£4,447GBP
- Report
- February 2026
- 183 Pages
Global
From €5103EUR$5,850USD£4,447GBP
- Report
- May 2025
- 175 Pages
Global
From €3916EUR$4,490USD£3,413GBP
- Report
- January 2026
- 250 Pages
Global
From €3916EUR$4,490USD£3,413GBP
- Report
- October 2025
- 250 Pages
Global
From €3916EUR$4,490USD£3,413GBP

Edge AI hardware is a type of hardware that is used to process data and run AI algorithms at the edge of a network, rather than in the cloud or a data center. Edge AI hardware is designed to be low-power, low-cost, and low-latency, allowing for real-time AI applications. It is often used in applications such as autonomous vehicles, robotics, and industrial automation. Edge AI hardware can be divided into two categories: embedded systems and accelerators. Embedded systems are designed to run AI algorithms on the device itself, while accelerators are designed to offload AI processing to a dedicated processor.
Some companies in the Edge AI hardware market include Intel, NVIDIA, Qualcomm, Xilinx, and Google. Show Less Read more