The North America Edge AI Hardware Market should witness market growth of 16.4% CAGR during the forecast period (2022-2028).
Edge is frequently described as a physical object, such as a network gateway, smart router, or intelligent 5G cell tower. However, this overlooks the value that AI at the device's edge delivers to gadgets such as mobile phones, autonomous vehicles, and robotics. A more useful way to comprehend the significance of edge is as a means of extending cloud-based digital transformation practices to the world.
Other sorts of edge innovation improved the efficiency, performance, management, security, and operation of cloud-based computers, smartphones, automobiles, and appliances. Outside of the cloud, Edge AI focuses on best practices, architectures, and processes for extending data science, machine learning, and AI. Modern machines use strong multicore CPUs with specialized hardware to handle parallel processing issues.
GPU and FPGA are popular, specialized, and widely available hardware in workstation-developed AI systems. A GPU is a chip designed to accelerate the processing of multidimensional data, such as an image. A GPU is composed of hundreds of tiny cores, each of which is designed to operate independently on a subspace of input data requiring intensive computation. A GPU with dedicated memory performs repetitive operations, such as texture mapping, picture rotation, translation, and filtering, on different regions of the input more quickly and efficiently.
The healthcare sectors of the countries in the region are well-established, and it is anticipated that they would adopt a variety of innovative technologies over the course of the next few years. The National Health Expenditure Accounts are responsible for calculating the official estimates of overall healthcare spending in the United States. These estimates can be found on the website of the Centers for Medicare & Medicaid Services (NHEA).
The US market dominated the North America Edge AI Hardware Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $4,350.9 million by 2028. The Canada market is poised to grow at a CAGR of 19.1% during (2022-2028). Additionally, The Mexico market should witness a CAGR of 18% during (2022-2028).
Based on Function, the market is segmented into Inference and Training. Based on Device Type, the market is segmented into Smartphones, Surveillance Cameras, Wearables, Robots, Smart Speakers & Smart Mirrors, Automotive and Edge Servers. Based on Component, the market is segmented into Processor, Memory and Sensor & Others. Based on Vertical, the market is segmented into Consumer Electronics, Smart Home, Automotive & Transportation, Government, Healthcare, Industrial, Aerospace & Defense, Construction and Others. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
The market research report covers the analysis of key stakeholders of the market. Key companies profiled in the report include Apple, Inc., MediaTek, Inc., Qualcomm, Inc., Huawei Technologies Co., Ltd., Samsung Electronics Co., Ltd. (Samsung Group), Intel Corporation, Nvidia Corporation, IBM Corporation, Google LLC, and Microsoft Corporation.
Edge is frequently described as a physical object, such as a network gateway, smart router, or intelligent 5G cell tower. However, this overlooks the value that AI at the device's edge delivers to gadgets such as mobile phones, autonomous vehicles, and robotics. A more useful way to comprehend the significance of edge is as a means of extending cloud-based digital transformation practices to the world.
Other sorts of edge innovation improved the efficiency, performance, management, security, and operation of cloud-based computers, smartphones, automobiles, and appliances. Outside of the cloud, Edge AI focuses on best practices, architectures, and processes for extending data science, machine learning, and AI. Modern machines use strong multicore CPUs with specialized hardware to handle parallel processing issues.
GPU and FPGA are popular, specialized, and widely available hardware in workstation-developed AI systems. A GPU is a chip designed to accelerate the processing of multidimensional data, such as an image. A GPU is composed of hundreds of tiny cores, each of which is designed to operate independently on a subspace of input data requiring intensive computation. A GPU with dedicated memory performs repetitive operations, such as texture mapping, picture rotation, translation, and filtering, on different regions of the input more quickly and efficiently.
The healthcare sectors of the countries in the region are well-established, and it is anticipated that they would adopt a variety of innovative technologies over the course of the next few years. The National Health Expenditure Accounts are responsible for calculating the official estimates of overall healthcare spending in the United States. These estimates can be found on the website of the Centers for Medicare & Medicaid Services (NHEA).
The US market dominated the North America Edge AI Hardware Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $4,350.9 million by 2028. The Canada market is poised to grow at a CAGR of 19.1% during (2022-2028). Additionally, The Mexico market should witness a CAGR of 18% during (2022-2028).
Based on Function, the market is segmented into Inference and Training. Based on Device Type, the market is segmented into Smartphones, Surveillance Cameras, Wearables, Robots, Smart Speakers & Smart Mirrors, Automotive and Edge Servers. Based on Component, the market is segmented into Processor, Memory and Sensor & Others. Based on Vertical, the market is segmented into Consumer Electronics, Smart Home, Automotive & Transportation, Government, Healthcare, Industrial, Aerospace & Defense, Construction and Others. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
The market research report covers the analysis of key stakeholders of the market. Key companies profiled in the report include Apple, Inc., MediaTek, Inc., Qualcomm, Inc., Huawei Technologies Co., Ltd., Samsung Electronics Co., Ltd. (Samsung Group), Intel Corporation, Nvidia Corporation, IBM Corporation, Google LLC, and Microsoft Corporation.
Scope of the Study
By Function
- Inference
- Training
By Device Type
- Smartphones
- Surveillance Cameras
- Wearables
- Robots
- Smart Speakers & Smart Mirrors
- Automotive
- Edge Servers
By Component
- Processor
- Memory
- Sensor & Others
By Vertical
- Consumer Electronics
- Smart Home
- Automotive & Transportation
- Government
- Healthcare
- Industrial
- Aerospace & Defense
- Construction
- Others
By Country
- US
- Canada
- Mexico
- Rest of North America
Key Market Players
List of Companies Profiled in the Report:
- Apple, Inc.
- MediaTek, Inc.
- Qualcomm, Inc.
- Huawei Technologies Co., Ltd.
- Samsung Electronics Co., Ltd. (Samsung Group)
- Intel Corporation
- Nvidia Corporation
- IBM Corporation
- Google LLC
- Microsoft Corporation
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
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- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market Overview
Chapter 3. Competition Analysis - Global
Chapter 4. North America Edge AI Hardware Market by Function
Chapter 5. North America Edge AI Hardware Market by Device Type
Chapter 6. North America Edge AI Hardware Market by Component
Chapter 7. North America Edge AI Hardware Market by Vertical
Chapter 8. North America Edge AI Hardware Market by Country
Chapter 9. Company Profiles
Companies Mentioned
- Apple, Inc.
- MediaTek, Inc.
- Qualcomm, Inc.
- Huawei Technologies Co., Ltd.
- Samsung Electronics Co., Ltd. (Samsung Group)
- Intel Corporation
- Nvidia Corporation
- IBM Corporation
- Google LLC
- Microsoft Corporation
Methodology
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