• The global Edge Computing AI Chips Market size was valued at US$ 4.23 billion in 2024 and is projected to reach US$ 14.87 billion by 2032, at a CAGR of 17.04% during the forecast period 2025-2032
Report Studies
• The global Edge Computing AI Chips Market size was valued at US$ 4.23 billion in 2024 and is projected to reach US$ 14.87 billion by 2032, at a CAGR of 17.04% during the forecast period 2025-2032.
• Edge computing AI chips are specialized semiconductor components designed to process artificial intelligence workloads directly at the network edge rather than in centralized data centers. These chips enable real-time data processing with low latency by integrating machine learning capabilities into IoT devices, industrial equipment, and smart infrastructure. The technology encompasses various processor architectures including GPUs, ASICs, FPGAs, and neuromorphic chips optimized for power efficiency and decentralized computation.
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By Type:
• Edge Terminal Equipment Chips
• Subtypes: IoT devices, smartphones, wearables, and others
• Edge Server Chips
• Subtypes: Data center accelerators, AI inference chips, and others
• Embedded AI Chips
• Vision Processing Units
• Others
Key Players
:
• Nvidia Corporation (U.S.)
• Intel Corporation (U.S.)
• Qualcomm Technologies, Inc. (U.S.)
• Huawei Technologies Co., Ltd. (China)
• Arm Limited (U.K.)
• Google LLC (U.S.) – Tensor Processing Units
• AMD (Xilinx) (U.S.) – Adaptive SoCs
• Samsung Electronics (South Korea) – Exynos with NPU
• Ambarella, Inc. (U.S.) – CVfocused edge processors
• Cerebras Systems (U.S.) – Waferscale edge solutions
