The Surge In IOT Applications Propels Growth In Edge AI Hardware Market: Powering Innovation and Expansion in the Edge AI Hardware Market by 2025

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What Is the Expected CAGR for the Edge AI Hardware Market Through 2025?
The market for edge AI hardware has witnessed a brisk expansion in recent years, with its size soaring from $7.74 billion in 2024 to reach a projected $9.12 billion in 2025, recording a compound annual growth rate (CAGR) of 17.9%. This significant growth trend can be traced back to activities like market education and awareness, coupled with the proliferation of IoT devices, improvements in AI algorithms, the mounting demand for low latency, and issues related to privacy and data security.

What's the Projected Size of the Global Edge AI Hardware Market by 2029?
In the coming years, we can anticipate a significant surge in the size of the edge AI hardware market. It is predicted to expand to $20.53 billion by 2029, growing at a Compound Annual Growth Rate (CAGR) of 22.5%. The projected growth within this period is related to developments in hardware architecture, power-saving edge devices, the equilibrium between edge and cloud, privacy necessities, and data security requirements, as well as industry-specific solutions. Leading trends during this period include optimization of AI models for edge, hardware acceleration solutions, harmonization of edge and cloud, decentralized AI applications, and the adoption of federated learning.

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Top Growth Drivers in the Edge AI Hardware Industry: What's Accelerating the Market?
The growth of Internet of Things (IoT) applications is anticipated to push the edge AI hardware market further. Essentially, an IoT application comprises several programs and services that amalgamate data from a myriad of IoT gadgets. These applications can collate data across the entirety of a factory and compile it at the network's edge, thus, a surge in IoT applications is projected to propel the edge AI hardware market. For instance, a report by Ericsson, a telecom company based in Sweden, released in November 2022, revealed that broadband IoT (4G/5G) which linked most of the cellular IoT gadgets, achieved 1.3 billion connections in 2022. It is predicted that close to 60% of the cellular IoT connections will be broadband IoT connections by the end of 2028, with 4G being the primary connector. At present, North East Asia is ahead in terms of cellular IoT connections, and it's predicted to exceed 2 billion connections in 2023. Consequently, the surge in IoT applications is bolstering the growth of the edge AI hardware market.

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What Trends Will Shape the Edge AI Hardware Market Through 2029 and Beyond?
The emergence of technologically sophisticated products is becoming a major trend in the edge AI hardware market. This trend is largely driven by the key players in the market who are investing in the development of advanced technologies to solidify their position. Take Intel's Habana Labs for example, an AI processor producer based in Israel. In May 2022, they unveiled their second generation of AI processors specifically for training and inferencing. This new wave of AI processors stands out because they fill a gap in the market by providing customers with high-performance and high-efficiency deep-learning computation options for both training and inference tasks in the data center. It also helps in reducing entry barriers for businesses of all sizes interested in AI, setting it apart from the competition.

What Are the Main Segments in the Edge AI Hardware Market?
The edge AI hardware market covered in this report is segmented -

1) By Component: Processor, Memory, Sensor, Other Components
2) By Device Type: Smartphones, Cameras, Robots, Wearables, Smart Speaker, Other Device Types
3) By End User: Consumer Electronics, Smart Home, Automotive, Government, Aerospace And Defense, Healthcare, Industrial, Construction, Other End Users

Subsegments:
1) By Processor: CPU (Central Processing Unit), GPU (Graphics Processing Unit), FPGA (Field-Programmable Gate Array), ASIC (Application-Specific Integrated Circuit), DSP (Digital Signal Processor)
2) By Memory: RAM (Random Access Memory), Flash Memory, SSD (Solid State Drive), EEPROM (Electrically Erasable Programmable Read-Only Memory)
3) By Sensor: Camera, LiDAR (Light Detection And Ranging), Microphones, Temperature Sensors, Pressure Sensors, Proximity Sensors
4) By Other Components: Power Management ICs, Connectivity Modules, Circuit Boards, Cooling Systems

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Which Top Companies are Driving Growth in the Edge AI Hardware Market?
Major companies operating in the edge AI hardware market include 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.

Which Regions Will Dominate the Edge AI Hardware Market Through 2029?
North America was the largest region in the edge AI hardware market in 2024. Asia-Pacific is expected to be the fastest-growing region in the edge AI hardware market during the forecast period. The regions covered in the edge ai hardware market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

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