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North America Artificial Intelligence (AI) Chipsets Market Size, Share & Trends Analysis Report By Computing Technology, By Function (Inference and Training), By Chipset Type (GPU, CPU, FPGA, ASIC, and Others), By Vertical, By Country and Growth Forecast, 2024 - 2031

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    Report

  • 141 Pages
  • June 2024
  • Region: North America
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5982302
The North America Artificial Intelligence (AI) Chipsets Market would witness market growth of 28.6% CAGR during the forecast period (2024-2031).

The US market dominated the North America Artificial Intelligence (AI) Chipsets Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of$74.52 billion by 2031. The Canada market is experiencing a CAGR of 31.3% during (2024 - 2031). Additionally, The Mexico market would exhibit a CAGR of 30.2% during (2024 - 2031).



AI chipset’s applications span various industries and use cases, leveraging their computational power and specialized architecture to enable advanced AI functionalities. AI chipsets play a vital role in autonomous vehicles by processing real-time sensor data and enabling object detection, path planning, and decision-making. These chipsets help vehicles navigate safely and efficiently in diverse driving conditions, contributing to the development of self-driving cars and transportation systems. The rise of autonomous vehicles is significantly impacting the AI chipsets.

Furthermore, AI chipsets power NLP applications such as speech recognition, language translation, sentiment analysis, and chatbots. These chipsets process and analyze large volumes of text and speech data, enabling machines to understand and generate human-like language responses. In computer vision applications, AI chipsets process visual data from cameras and sensors to perform object detection, image classification, facial recognition, and scene understanding tasks. These chipsets enable machines to interpret and analyze visual information, supporting surveillance, robotics, healthcare, and augmented reality applications.

Growing internet penetration in Mexico increases online activities, including social media usage, e-commerce transactions, and digital content consumption. This leads to a significant rise in data generation from various sources such as websites, mobile apps, IoT devices, and social media platforms. Large-scale data processing and analysis are necessary for AI-driven applications, which are made possible by the proliferation of data. This increases the need for AI chipsets with high-performance computing capabilities. According to the International Trade Administration (ITA), Mexico had more than 130 million active wireless lines in 2022, with over 113 million having Internet access. By the end of 2023, the number of active wireless lines is projected to exceed 138 million. Hence, rising internet penetration in the region Is driving the market's growth.

Based on Computing Technology, the market is segmented into Cloud Computing and Edge Computing. Based on Function, the market is segmented into Inference and Training. Based on Chipset Type, the market is segmented into GPU, CPU, FPGA, ASIC, and Others. Based on Vertical, the market is segmented into Consumer Electronics, Automotive, Healthcare, Manufacturing, Retail & E-Commerce, BFSI, Marketing, and Others. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.

List of Key Companies Profiled

  • Intel Corporation
  • NVIDIA Corporation
  • IBM Corporation
  • Micron Technology, Inc.
  • Qualcomm Incorporated (Qualcomm Technologies, Inc.)
  • Samsung Electronics Co., Ltd. (Samsung Group)
  • Apple, Inc.
  • Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
  • Texas Instruments, Inc.
  • NXP Semiconductors N.V.

Market Report Segmentation

By Computing Technology
  • Cloud Computing
  • Edge Computing
By Function
  • Inference
  • Training
By Chipset Type
  • GPU
  • CPU
  • FPGA
  • ASIC
  • Others
By Vertical
  • Consumer Electronics
  • Automotive
  • Healthcare
  • Manufacturing
  • Retail & E-Commerce
  • BFSI
  • Marketing
  • Others
By Country
  • US
  • Canada
  • Mexico
  • Rest of North America

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 North America Artificial Intelligence (AI) Chipsets Market, by Computing Technology
1.4.2 North America Artificial Intelligence (AI) Chipsets Market, by Function
1.4.3 North America Artificial Intelligence (AI) Chipsets Market, by Chipset Type
1.4.4 North America Artificial Intelligence (AI) Chipsets Market, by Vertical
1.4.5 North America Artificial Intelligence (AI) Chipsets Market, by Country
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Competition Analysis - Global
4.1 Market Share Analysis, 2023
4.2 Porter Five Forces Analysis
Chapter 5. North America Artificial Intelligence (AI) Chipsets Market by Computing Technology
5.1 North America Cloud Computing Market by Region
5.2 North America Edge Computing Market by Region
Chapter 6. North America Artificial Intelligence (AI) Chipsets Market by Function
6.1 North America Inference Market by Country
6.2 North America Training Market by Country
Chapter 7. North America Artificial Intelligence (AI) Chipsets Market by Chipset Type
7.1 North America GPU Market by Country
7.2 North America CPU Market by Country
7.3 North America FPGA Market by Country
7.4 North America ASIC Market by Country
7.5 North America Others Market by Country
Chapter 8. North America Artificial Intelligence (AI) Chipsets Market by Vertical
8.1 North America Consumer Electronics Market by Country
8.2 North America Automotive Market by Country
8.3 North America Healthcare Market by Country
8.4 North America Manufacturing Market by Country
8.5 North America Retail & E-Commerce Market by Country
8.6 North America BFSI Market by Country
8.7 North America Marketing Market by Country
8.8 North America Others Market by Country
Chapter 9. North America Artificial Intelligence (AI) Chipsets Market by Country
9.1 US Artificial Intelligence (AI) Chipsets Market
9.1.1 US Artificial Intelligence (AI) Chipsets Market by Computing Technology
9.1.2 US Artificial Intelligence (AI) Chipsets Market by Function
9.1.3 US Artificial Intelligence (AI) Chipsets Market by Chipset Type
9.1.4 US Artificial Intelligence (AI) Chipsets Market by Vertical
9.2 Canada Artificial Intelligence (AI) Chipsets Market
9.2.1 Canada Artificial Intelligence (AI) Chipsets Market by Computing Technology
9.2.2 Canada Artificial Intelligence (AI) Chipsets Market by Function
9.2.3 Canada Artificial Intelligence (AI) Chipsets Market by Chipset Type
9.2.4 Canada Artificial Intelligence (AI) Chipsets Market by Vertical
9.3 Mexico Artificial Intelligence (AI) Chipsets Market
9.3.1 Mexico Artificial Intelligence (AI) Chipsets Market by Computing Technology
9.3.2 Mexico Artificial Intelligence (AI) Chipsets Market by Function
9.3.3 Mexico Artificial Intelligence (AI) Chipsets Market by Chipset Type
9.3.4 Mexico Artificial Intelligence (AI) Chipsets Market by Vertical
9.4 Rest of North America Artificial Intelligence (AI) Chipsets Market
9.4.1 Rest of North America Artificial Intelligence (AI) Chipsets Market by Computing Technology
9.4.2 Rest of North America Artificial Intelligence (AI) Chipsets Market by Function
9.4.3 Rest of North America Artificial Intelligence (AI) Chipsets Market by Chipset Type
9.4.4 Rest of North America Artificial Intelligence (AI) Chipsets Market by Vertical
Chapter 10. Company Profiles
10.1 Intel Corporation
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Segmental and Regional Analysis
10.1.4 Research & Development Expenses
10.1.5 SWOT Analysis
10.2 NVIDIA Corporation
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Segmental and Regional Analysis
10.2.4 Research & Development Expenses
10.2.5 SWOT Analysis
10.3 IBM Corporation
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Regional & Segmental Analysis
10.3.4 Research & Development Expenses
10.3.5 SWOT Analysis
10.4 Micron Technology, Inc.
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Segmental and Regional Analysis
10.4.4 Research & Development Expenses
10.4.5 SWOT Analysis
10.5 Qualcomm Incorporated (Qualcomm Technologies, Inc.)
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Segmental and Regional Analysis
10.5.4 Research & Development Expense
10.5.5 SWOT Analysis
10.6 Samsung Electronics Co., Ltd. (Samsung Group)
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Segmental and Regional Analysis
10.6.4 Research & Development Expenses
10.6.5 SWOT Analysis
10.7 Apple, Inc.
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Regional Analysis
10.7.4 Research & Development Expense
10.7.5 SWOT Analysis
10.8 Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Segmental and Regional Analysis
10.8.4 Research & Development Expenses
10.8.5 SWOT Analysis
10.9 Texas Instruments, Inc.
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Segmental and Regional Analysis
10.9.4 Research & Development Expense
10.9.5 SWOT Analysis
10.10. NXP Semiconductors N.V.
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Regional Analysis
10.10.4 Research & Development Expenses
10.10.5 SWOT Analysis

Companies Mentioned

  • Intel Corporation
  • NVIDIA Corporation
  • IBM Corporation
  • Micron Technology, Inc.
  • Qualcomm Incorporated (Qualcomm Technologies, Inc.)
  • Samsung Electronics Co., Ltd. (Samsung Group)
  • Apple, Inc.
  • Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
  • Texas Instruments, Inc.
  • NXP Semiconductors N.V.

Methodology

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