The North America Edge AI Accelerator Market is expected to witness market growth of 29.9% CAGR during the forecast period (2024-2031).
The US market dominated the North America Edge AI Accelerator Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $12.63 billion by 2031. The Canada market is expected to witness a CAGR of 32.5% during 2024-2031. Additionally, the Mexico market would register a CAGR of 31.5% during 2024-2031.
The edge AI accelerator market represents a transformative frontier in artificial intelligence and edge computing, where the convergence of advanced hardware and localized data processing is reshaping industries and redefining technological capabilities. The demand for efficient, low-latency and privacy-conscious solutions has surged as the world becomes increasingly interconnected through the Internet of Things (IoT), smart devices, and real-time applications. Edge AI accelerators - specialized hardware designed to optimize AI workloads at the network’s edge - have emerged as a critical enabler of this shift. Unlike traditional cloud-based AI, which relies on centralized data centers, edge AI brings computation closer to the data source, reducing latency, minimizing bandwidth usage, and enhancing data security. This market is driven by the need for real-time decision-making in applications ranging from autonomous vehicles to industrial automation, and its growth reflects broader trends in digital transformation and technological innovation.
The rise of edge AI accelerators is rooted in the limitations of conventional computing paradigms. While powerful and scalable, cloud computing often struggles with latency issues, bandwidth constraints, and privacy concerns - challenges that become particularly pronounced as data generation explodes with the proliferation of IoT devices and smart technologies. Edge AI accelerators address these pain points by enabling devices to process complex AI algorithms locally without constant reliance on distant servers. This capability enhances operational efficiency and opens up new possibilities for industries that require instantaneous insights, such as healthcare, automotive, and manufacturing. The market is witnessing rapid expansion as organizations across sectors recognize the value of deploying AI at the edge, supported by advancements in hardware design, AI algorithms, and connectivity solutions like 5G.
With Mexico’s retail sector generating $76 billion in revenue and comprising over 47,000 retail stores, Edge AI accelerators are transforming the industry through AI-powered inventory management, cashier less checkout systems, and customer behaviour analytics. Retail giants like Walmart de Mexico, which controls 66.4% of supermarket sales, increasingly deploy Edge AI solutions for supply chain optimization, AI-driven price adjustments, and real-time fraud detection. As retailers focus on enhancing in-store experiences through smart shelves, automated checkout, and AI-powered analytics, the demand for low-latency Edge AI accelerators will continue to rise in Mexico’s digital retail ecosystem. In conclusion, the market in North America is expanding due to Canada’s healthcare digitalization, the U.S. automotive security needs, and Mexico’s retail transformation.
The US market dominated the North America Edge AI Accelerator Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $12.63 billion by 2031. The Canada market is expected to witness a CAGR of 32.5% during 2024-2031. Additionally, the Mexico market would register a CAGR of 31.5% during 2024-2031.
The edge AI accelerator market represents a transformative frontier in artificial intelligence and edge computing, where the convergence of advanced hardware and localized data processing is reshaping industries and redefining technological capabilities. The demand for efficient, low-latency and privacy-conscious solutions has surged as the world becomes increasingly interconnected through the Internet of Things (IoT), smart devices, and real-time applications. Edge AI accelerators - specialized hardware designed to optimize AI workloads at the network’s edge - have emerged as a critical enabler of this shift. Unlike traditional cloud-based AI, which relies on centralized data centers, edge AI brings computation closer to the data source, reducing latency, minimizing bandwidth usage, and enhancing data security. This market is driven by the need for real-time decision-making in applications ranging from autonomous vehicles to industrial automation, and its growth reflects broader trends in digital transformation and technological innovation.
The rise of edge AI accelerators is rooted in the limitations of conventional computing paradigms. While powerful and scalable, cloud computing often struggles with latency issues, bandwidth constraints, and privacy concerns - challenges that become particularly pronounced as data generation explodes with the proliferation of IoT devices and smart technologies. Edge AI accelerators address these pain points by enabling devices to process complex AI algorithms locally without constant reliance on distant servers. This capability enhances operational efficiency and opens up new possibilities for industries that require instantaneous insights, such as healthcare, automotive, and manufacturing. The market is witnessing rapid expansion as organizations across sectors recognize the value of deploying AI at the edge, supported by advancements in hardware design, AI algorithms, and connectivity solutions like 5G.
With Mexico’s retail sector generating $76 billion in revenue and comprising over 47,000 retail stores, Edge AI accelerators are transforming the industry through AI-powered inventory management, cashier less checkout systems, and customer behaviour analytics. Retail giants like Walmart de Mexico, which controls 66.4% of supermarket sales, increasingly deploy Edge AI solutions for supply chain optimization, AI-driven price adjustments, and real-time fraud detection. As retailers focus on enhancing in-store experiences through smart shelves, automated checkout, and AI-powered analytics, the demand for low-latency Edge AI accelerators will continue to rise in Mexico’s digital retail ecosystem. In conclusion, the market in North America is expanding due to Canada’s healthcare digitalization, the U.S. automotive security needs, and Mexico’s retail transformation.
List of Key Companies Profiled
- Apple, Inc.
- Google LLC (Alphabet Inc.)
- Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- IBM Corporation
- Intel Corporation
- NVIDIA Corporation
- Qualcomm Incorporated (Qualcomm Technologies, Inc.)
- AMBARELLA, INC.
- Microsoft Corporation
Market Report Segmentation
By Processor
- Central Processing Unit (CPU)
- Graphics Processing Unit (GPU)
- Application-Specific Integrated Circuits (ASICs)
- Other Processor
By Device
- Smartphones
- IoT Devices
- Robots
- Cameras
By End Use
- Automotive
- Healthcare
- Manufacturing
- Security & Surveillance
- Retail
- Other End Use
By Country
- US
- Canada
- Mexico
- Rest of North America
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market at a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. North America Edge AI Accelerator Market by Processor
Chapter 6. North America Edge AI Accelerator Market by Device
Chapter 7. North America Edge AI Accelerator Market by End Use
Chapter 8. North America Edge AI Accelerator Market by Country
Chapter 9. Company Profiles
Companies Mentioned
- Apple, Inc.
- Google LLC (Alphabet Inc.)
- Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- IBM Corporation
- Intel Corporation
- NVIDIA Corporation
- Qualcomm Incorporated (Qualcomm Technologies, Inc.)
- AMBARELLA, INC.
- Microsoft Corporation
Methodology
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