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,

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

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 $74,525.1 million 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.

North America Artificial Intelligence (AI) Chipsets 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