Edge AI Hardware Market

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Edge AI Hardware Market Size, Share and Industry Analysis Report By Processor (Central Processing Unit (CPU), Graphics Processing Unit (GPU), Application-Specific Integrated Circuit (ASIC), Field-Programmable Gate Arrays (FPGAs), Neural Processing Units (NPUs), Tensor Processing Units (TPUs), System-on-Chip (SoCs) and Edge Servers); By Function (Training and Inference); By Power Consumption (Less than 1 W, 1-3 W, 3-5 W, 5-10 W and more than 10 W); By Vertical (Consumer Electronics, Smart Home, Automotive, Transportation, Government, Healthcare, Industrial, Aerospace, Defense and Construction) - Forecast Year 2024 – 2031

Semiconductor & Electronics // Sensors and Control

Number of Pages: 346 Report Format: pdf Report ID: ZBA-888 Publishing Date: - August, 2023

Frequently Ask Question

The Global Edge AI hardware market Is Forecasted To Grow At A Rate Of 17.9% To USD 26.92 Billion In 2030

Key Factors That Are Driving The Market Growth Include Requirement for low latency and real-time data transmission in mission-critical applications, Focus of market players on launching innovative AI coprocessors for edge devices, Cost advantages of moving AI processing to edge computing

The Edge AI hardware market Is Led By Smartphones Segment And Is Projected To Account For The Largest Size Of The Edge AI hardware market From 2022 To 2030

Some Key Players Operating In The Edge AI hardware market Include Apple, Applied Brain Research, Blaize, Cambricon Technologies, Ceva, General Vision, Google, Graphcore, Hailo, Horizon Robotics, Huawei Technologies , Ibm, Imagination Technologies, Intel, Mediatek, Microsoft, Mythic, Nvidia, Qualcomm Technologies, Sambanova, Samsung Electronics, Tenstorrent, Veridify Security Inc., Zero Asic