Top Market Shifts Transforming the Edge AI Hardware Market Landscape: Key Insights

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What Is the Expected CAGR for the Edge AI Hardware Market Through 2025?
The market size of edge ai hardware has seen significant expansion in the past few years. Its size is projected to increase from $7.74 billion in 2024 to $9.12 billion in 2025, showing a compound annual growth rate (CAGR) of 17.8%. Factors contributing to this growth during the historical period include increased market knowledge and awareness, the emergence of IoT devices, improvements in ai algorithms, the need for low latency and data security issues.

What's the Projected Size of the Global Edge AI Hardware Market by 2029?
The market size of edge AI hardware is projected to witness substantial expansion in the upcoming years. An increase to $20.34 billion is predicted for 2029, escalating at a compound annual growth rate (CAGR) of 22.2%. Factors driving this growth in the forecast period include the evolution of hardware architecture, efficiency in energy for edge devices, maintaining equilibrium between edge and cloud, and requirements concerning data security and privacy, as well as industry-specific solutions. Dominant trends during the forecast period encompass the optimization of AI models for edge, solutions for hardware acceleration, a synergy between 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 escalating growth of IoT applications is anticipated to stimulate the edge AI hardware market. Essentially, an IoT application is an amalgamation of multiple services and systems that compile data from various IoT devices. These applications can collect data across industrial floors and consolidate it at the edge of the network, thereby amplifying the edge AI hardware market. For instance, a report issued by a telecommunication company based in Sweden, Ericsson, in November 2022, states that broadband IoT (4G/5G), which is responsible for the majority of cellular IoT device connections, achieved 1.3 billion connections in 2022. It is expected that around 60% of cellular IoT connections will be linked with broadband IoT by the tail end of 2028, making 4G the main connector. As of now, North East Asia is leading in cellular IoT connections and is projected to cross 2 billion connections by 2023. Hence, the increasing IoT applications are steering the edge AI hardware market's growth.

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What Trends Will Shape the Edge AI Hardware Market Through 2029 and Beyond?
The rise of technologically sophisticated products is a notable trend influencing the edge AI hardware market. Key market players are leveraging advancements in technology to strengthen their market status. For example, Habana Labs by Intel, an Israel-based firm specializing in AI processors, released its second generation AI processors in May 2022 to cater to both training and inference needs. This product stands out for its capacity to bridge a market gap by providing customers with high-performance, high-efficiency deep learning computing options for various kinds of workloads and deployments in the data center. It also lowers the entry barrier to AI for businesses big and small, distinguishing it from rival technologies.

What Are the Main Segments in the Edge AI Hardware Market?
The edge ai hardwaremarket 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, Healare, 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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