How Rapid is the Projected Growth of Edge AI Hardware Market?
The edge AI hardware market has experienced rapid growth in recent years, skyrocketing from $7.74 billion in 2024 to $9.12 billion in 2025, an impressive CAGR of 17.9%. Growth during the historic period can be attributed to escalating market education and awareness, the proliferation of IoT devices, advancements in AI algorithms, and demands for low latency intertwined with privacy and data security concerns.
The edge AI hardware market size is predicted to exhibit exponential growth in the forthcoming years, expanding to reach $20.53 billion by 2029 at a compound annual growth rate (CAGR) of 22.5%. This unprecedented growth in the forecast period is underpinned by developments in hardware architecture, the advent of energy-efficient edge devices, the harmony between edge and cloud technologies, and the necessity for privacy and data security in various industry-specific solutions. Noteworthy trends propelling this period include the optimization of AI models for edge devices, the rising demand for hardware acceleration solutions, and the adoption of decentralized AI applications with federated learning.
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What are the Major Drivers of the Edge AI Hardware Market?
The escalating rise in IoT applications is a primary driver of the edge AI hardware market. IoT applications consolidate data from an array of devices and aggregate them to the network’s edge, thus stimulating the market growth. For instance, a report by Ericsson in November 2022 indicated that broadband IoT (4G/5G), which accommodates most cellular IoT devices, reached 1.3 billion connections in 2022. By 2028, nearly 60% of cellular IoT connections are expected to be broadband IoT connections. Currently, North East Asia is leading in terms of cellular IoT connections, and expects to surpass 2 billion connections in 2023. Therefore, the surge in IoT applications is driving the edge AI hardware market.
What are the Key Segments Within the Edge AI Hardware Market?
1) Component: Processor, Memory, Sensor, Other Components,
2) Device Type: Smartphones, Cameras, Robots, Wearables, Smart Speaker, Other Device Types,
3) End User: Consumer Electronics, Smart Home, Automotive, Government, Aerospace And Defense, Healthcare, Industrial, Construction, Other End Users.
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Who are the Key Players in the Edge AI Hardware Market?
Notable companies operating in the edge AI hardware market encompass Apple Inc., MediaTek Inc., Qualcomm Technologies Inc., Huawei Technologies Co. Ltd., Samsung Electronics Co. Ltd., Intel Corporation, NVIDIA Corporation, International Business Machines Corporation, Google LLC, Microsoft Corporation, Advanced Micro Devices Inc., Imagination Technologies Limited, Adapteva Inc., Arm Limited, ADLINK Technology Inc., Alphabet Inc., Amazon.com Inc., Baidu Inc., Continental AG, Denso Corporation, Renesas Electronics Corporation, Infineon Technologies AG, KALRAY Corporation, Robert Bosch GmbH, Rockchip Electronics Co. Ltd., NXP Semiconductors N.V., ON Semiconductor Corporation, Oracle Corporation, STMicroelectronics N.V.
What are the Emerging Trends in the Edge AI Hardware Market?
Emerging technologies are creating cutting-edge trends and gaining popularity in the edge AI hardware market. Respected companies within the edge AI market space are developing state-of-the-art technologies to fortify their presence in the market. For instance, in May 2022, Intel’s Habana Labs, an Israel-based creator of AI processors, introduced second-generation AI processors that bridge a market gap, offering customers high-performance, high-efficiency deep learning options for both training workloads and inference deployments in data centers. This technology also lowers the AI entry barrier for businesses of all sizes.
Which Region Will Experience the Fastest Growth in the Edge AI Hardware Market?
North America leads as the largest region in the edge AI hardware market as of 2024. Nonetheless, Asia-Pacific is projected to become the fastest-growing region in the edge AI hardware market during the forecast period. Furthermore, the edge AI hardware market report provides comprehensive coverage of other regions including Western Europe, Eastern Europe, North America, South America, Middle East, and Africa.
What Does the Edge AI Hardware Market Report 2025 Offer?
Edge AI hardware, also known as AI accelerators, accelerates deep learning inference on edge devices, making them an ideal solution for intensive computational applications. The edge AI platform can operate on a broad range of hardware platforms, from regular MCUs (microcontroller units) to advanced neural processors. The Edge AI Hardware Market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
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