Growth in the utilization of artificial intelligence (AI) fuels the growth of the global Edge AI Hardware market at a CAGR of 21.92 % during the forecast period 2024 to 2032

Market Research Future (MRFR) has published on the “Global Edge AI Hardware Market”.

The Edge AI Hardware market is estimated to register a CAGR of 21.92% during the forecast period of 2024 to 2032.

MRFR recognizes the following companies as the key players in the global Edge AI Hardware market— NVIDIA Corporation, Google (Alphabet Inc.), Intel Corporation, Huawei Technologies Co., Ltd., Apple Inc., Qualcomm Incorporated, Samsung Electronics Co., Ltd., IBM Corporation, Dell Technologies Inc., Microsoft Corporation, ARM, Hailo, MediaTek Inc., Xilinx Inc., Micron Technology among others.

Edge AI Hardware Market Highlights

The global Edge AI Hardware market is accounted for to register a CAGR of 21.92% during the forecast period and is estimated to reach USD 15,987.85 million by 2032.

The Global Edge AI Hardware Market is expected to grow significantly in the coming years due to the increasing adoption of Artificial Intelligence (AI) across various industries. The growing need for real-time processing, reduced latency, and enhanced data privacy has led to the emergence of Edge AI, which enables on-device processing and decision-making. Additionally, there is a growing trend of integration of Edge AI in various industries which is driving the growth of the Market. Edge AI is being integrated into AI applications used by enterprises to improve energy efficiency, reduce latency, and enhance real-time performance. Additionally, edge computing provides better security and data protection, ensuring enhanced privacy control and regulatory compliance.

Edge AI and machine learning are playing a vital role in smart manufacturing, automation, and industrial IoT. Real-time actuation in tasks such as product assembly and quality control help address challenges related to latency. Edge AI is being used to manage sensitive patient data by providing real-time functionalities and privacy controls. Applications include remote patient monitoring, telemedicine, early disease diagnosis, and real-time surgery applications.

Furthermore, Edge AI is enhancing user interactions with intelligent, low-latency interfaces in consumer products. Perceptive interfaces, real-time analytics, and improved security contribute to an elevated user experience. Smart transportation relies heavily on edge computing and Edge AI functionalities for real-time decision-making applications. Self-driving cars, for instance, employ deep neural networks for real-time decision-making.

Moreover, Edge AI is contributing to various smart city use cases, including connected vehicles, utility infrastructure maintenance, and healthcare monitoring. Smart surveillance, resource optimization, and improved public safety are key applications in smart cities.

Segment Analysis

The global Edge AI Hardware market has been segmented based on Component, Power Device, Consumption, Process, Vertical.

Based on Component, the global edge AI hardware Market is segmented into CPU, GPU, ASIC, and FPGA. CPU would be the majority shareholder in 2022. The market for edge AI hardware is expanding due in large part to the Central Processing Unit (CPU). As edge computing becomes more popular, there is a growing need for strong and capable processors to manage sophisticated AI applications closer to the data generation edge of networks.

Based on device, the Global edge AI hardware Market is segmented into Smartphone, Camera, Robot, Automobile, Smart Speaker, Wearables, Smart Mirror, and Others. The camera held the largest market share in 2022, as these are primary sources for gathering information in the OSINT domain. Cameras with integrated enhanced image processing capabilities are driving the edge AI hardware market.

Based on power consumption, the Global edge AI hardware market is segmented into 0-5 W, 6-10 W, and More Than 10 W. 0-5 W held the majority share in 2022. The market for edge AI hardware is expanding due in part to the drive toward ultra-low power consumption, particularly in the 0–5W range.

Based on Vertical, the Global edge AI hardware Market is segmented into consumer electronics, smart home, automotive & transportation, healthcare, aerospace & defense, government, construction, and others. The consumer electronics held the majority share in 2022. The market for edge AI hardware is expanding due to consumer electronics' direct integration of advanced AI capabilities into commonplace products.

Browse In-depth Details [Table of Content, List of Figures, List of Tables] of Edge AI hardware Market Research Report

Regional Analysis

By Region, the study provides market insights into North America, Europe, Asia-Pacific, Middle East and Africa and South America. North America is likely to be the largest contributor to the Edge AI Hardware market. The government initiatives are anticipated to boost business growth in this region and increase demand for edge Al hardware. With the introduction of advanced 5G network technology, the area is predicted to continue growing. The use of cutting-edge technology by the region's businesses, including artificial intelligence (AI), deep learning, and machine learning, is a major factor driving the expansion.

The Europe Edge AI Hardware market is witnessing significant growth driven by several key factors including a rise in private funding for edge Al hardware research and development (R&D). Furthermore, the existence of esteemed university establishments that promote conventional research in novel technologies is anticipated to propel market revenue expansion in this area.

The Asia Pacific Edge AI Hardware market offers significant growth opportunities fueled by the region's growing need for integration with vision processing units to speed up AI operations is mostly driven by wearable devices. By the end of 2022, 1,105 million wearable gadgets might be connected, according to Cisco Systems' estimations. The region's end-user industries, such as manufacturing, telecommunications, and automotive, have enormous potential, which will soon drive a significant demand for the AI hardware industry.

Key Findings of the Study

• The global Edge AI Hardware market is expected to reach USD 15,987.85 million by 2032, at a CAGR of 21.92% during the forecast period.


• The Asia Pacific region accounted for the fastest-growing global market.


• Based on Component, the CPU segment was attributed to holding the largest market in 2022.


• NVIDIA Corporation, Google (Alphabet Inc.), Intel Corporation, Huawei Technologies Co., Ltd., Apple Inc., Qualcomm Incorporated, Samsung Electronics Co., Ltd., IBM Corporation, Dell Technologies Inc., Microsoft Corporation, ARM, Hailo, MediaTek Inc., Xilinx Inc.  among others are some of the players in the market.