Edge AI Hardware Market Trends

Skyquest Technology's expert advisors have carried out comprehensive research on the edge ai hardware market to identify the major global and regional market trends and growth opportunities for leading players and new entrants in this market. The analysis is based on in-depth primary and secondary research to understand the major market drivers and restraints shaping the future development and growth of the industry.

Edge AI Hardware Market Dynamics

Edge AI Hardware Market Drivers

High Demand for Real-time Data Processing

  • Growing demand for real-time data processing without any substantial delays for multiple applications is projected to bolster the sales of edge AI hardware over the coming years. Autonomous vehicles, industrial automation, and smart cities are some key applications where real-time decision-making is critical. Hence, these applications are projected to primarily drive the global edge AI hardware market outlook in the future.

Rise in Use of IoT Devices

  • Surging adoption of connected devices and IoT (Internet of Things) devices is also creating a high demand for localized data processing. Edge AI hardware, by offloading computational tasks from centralized servers, ensures faster processing and reduces network congestion thereby making it a popular choice for all types of IoT and connected devices in the long run.

Edge AI Hardware Market Restraints

Shortage of Talent and Skilled Professionals

  • The world is witnessing a major shortage of skilled professionals required to design and operate advanced edge AI hardware solutions. This dearth of skilled professionals is estimated to impede the sales of edge AI hardware products in the long run. Emerging markets are expected to suffer more from this restraint as compared to developed ones in the global edge AI hardware industry through 2032.

Challenges in Energy Consumption Management

  • Handling highly complex artificial intelligence workloads at edge can be a complex and energy-intensive task. Developing energy-efficient edge AI hardware that balances performance and power usage is still a major technical hurdle for edge AI hardware manufacturers. This restraint is particularly limiting edge AI hardware adoption in energy-sensitive applications.

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Global Edge AI hardware Market size was valued at USD 19.92 Billion in 2023 and is projected to grow from USD 23.45 Billion in 2024 to reach USD 86.35 Billion by 2032, growing at a CAGR of 17.7% in the forecast period (2025-2032).

Key vendors in AI Market are: 'Apple Inc.', 'MediaTek', 'Qualcomm Technologies', 'Huawei Technologies', 'Samsung Electronics', 'NVIDIA', 'Google Corporation', 'Microsoft Corporation', 'Imagination Technologies', 'Cambricon Technologies', 'Xilinx Inc.', 'Habana Labs Ltd.', 'Intel Corporation', 'Advanced Micro Devices', 'IBM Corporation'   

Growing demand for real-time data processing without any substantial delays for multiple applications is projected to bolster the sales of edge AI hardware over the coming years. Autonomous vehicles, industrial automation, and smart cities are some key applications where real-time decision-making is critical. Hence, these applications are projected to primarily drive the global edge AI hardware market outlook in the future.

Emergence of TinyML: Tiny Machine Learning (TinyML) focuses on running machine learning models on ultra-low-power edge devices. Edge AI hardware companies can invest in the development of TinyML algorithms and models to take the edge AI hardware industry to a whole new level and boost revenue generation for market players as well.

North America is estimated to spearhead the global edge AI hardware industry growth over the coming years. The presence of leading artificial intelligence hardware manufacturers, rising adoption of connected devices, and growing demand for automation are cementing the demand for edge AI hardware in this region over the coming years. Growing acceptance of advanced AI and edge technologies in countries such as Canada and the United States are also expected to boost sales of edge AI hardware in the North American region through 2032. Strong technological infrastructure in this region is also a key factor promoting the adoption of edge AI hardware.

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Global Edge AI Hardware Market
Edge AI Hardware Market

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