2025 Market Reports Update: Market Size Forecasts to 2034, Key Trends, Leading Players, and Top Regions – Get Ahead of the Competition Today!

Which Major Market Drivers Are Expected to Boost the Growth Potential of the Edge AI Hardware Market?

The proliferating use of IoT applications is believed to propel the growth of the edge AI hardware market in the future. IoT applications refer to a suite of services and programs that amalgamate data from a host of IoT devices. With the ability to collect data from all over a production area and compile it to the network’s periphery, an increase in the IoT applications will likely stimulate the edge AI hardware market. For instance, a report by Ericsson, a telecommunications corporation based in Sweden, disclosed in November 2022 that broadband IoT (4G/5G), responsible for most cellular IoT device connections, hit 1.3 billion connections in 2022. It is projected that by the final quarter of 2028, roughly 60% of cellular IoT connections will rely on broadband IoT, primarily through 4G. North East Asia is the region currently dominating in terms of cellular IoT connections, and is expected to exceed 2 billion connections by 2023. As a result, the increasing use of IoT applications is fostering the growth of the edge AI hardware market.

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How Has the Edge AI Hardware Market Evolved in Recent Years, and What are the Growth Projections for the Forecast Period?

The market size of edge AI hardware has experienced a swift growth over the past few years. It is estimated that it will increase from $7.74 billion in 2024 to about $9.12 billion in 2025, with a compound annual growth rate (CAGR) of 17.9%. The expansion during the historical period can be linked to increased market knowledge and awareness, the proliferation of IoT devices, progress in AI algorithms, the requirement for minimal latency, and concerns regarding privacy and data security.

The market size of edge AI hardware is predicted to witness significant expansion in the forthcoming years, escalating to $20.53 billion by 2029, witnessing a compound annual growth rate (CAGR) of 22.5%. Contributing factors to the expected surge during this forecast period encompass advancements in hardware architecture, the prevalence of energy-saving edge devices, balancing between edge and cloud, the need for data security and privacy, and tailored solutions for specific industries. The major patterns to be observed in the predicted period involve the optimization of AI models for the edge, implementations of hardware acceleration, a harmonious relationship between edge and cloud, distribution of AI applications, and the embracement of federated learning.

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What Are the Key Market Innovations in theEdge AI Hardware Market Over the Coming Years?

The rise of highly advanced technological products stands as a primary trend boosting popularity in the edge AI hardware market. Various leading entities in the edge AI market are inventing cutting-edge technologies to reinforce their market standing. Take for instance, in May 2022, Intel’s Habana Labs, an AI processor production company based in Israel, introduced their second-generation AI processors specifically geared towards training and inferencing. These next-gen AI processors are unique in their abilities to bridge a market void by delivering high-performance, high-efficiency deep learning computational options for training workload and inference deployments in data centers. Additionally, it also diminishes the threshold to AI for businesses of all scales – a distinctive aspect that sets it apart from its rivals in technology.

Who Are the Top Companies Driving Innovation and Growth in theEdge 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.

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Which Key Market Segments Comprise the Edge AI Hardware Market and Drive Its Revenue Growth?

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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