The North America AI Computer Market is expected to witness market growth of 32.8% CAGR during the forecast period (2024-2031).
The US market dominated the North America AI Computer Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $93.45 billion by 2031. The Canada market is expected to witness a CAGR of 35.7% during 2024-2031. Additionally, the Mexico market would register a CAGR of 34.6% during 2024-2031.
AI computers are specialized computing systems that handle artificial intelligence (AI) workloads, including machine learning, deep learning, neural networks, and large-scale data processing. Unlike traditional computers, which rely primarily on central processing units (CPUs) for general-purpose tasks, AI computers are optimized with high-performance hardware, including graphics processing units (GPUs), tensor processing units (TPUs), and neural processing units (NPUs). These advanced components enable AI computers to process complex algorithms, train AI models, and perform real-time inferencing at speeds far beyond conventional computing capabilities.
The proliferation of AI-powered applications has led to a surge in AI-specific hardware and infrastructure demand. AI is being used by a growing number of industries, including manufacturing, retail, healthcare, and finance, to increase productivity, optimize processes, and enhance decision-making. AI-powered diagnostics, robotic-assisted surgeries, and personalized medicine are transforming patient care in healthcare. The industry is undergoing a revolution owing to AI's capacity to evaluate medical images, identify illnesses early, and recommend treatment regimens based on patient data.
Sectors such as manufacturing, eCommerce, and enterprise automation are increasingly leveraging AI computing systems for data analytics, workflow management, and predictive intelligence. AI-powered computers are transforming supply chain operations, financial modeling, and customer engagement platforms, allowing businesses to streamline operations and improve efficiency. The government's strategic investments and legislative frameworks have enabled sophisticated AI computing technologies, which have allowed Canadian enterprises to maintain a competitive edge in the global AI landscape. Therefore, as AI computing adoption continues to rise across the region, it presents lucrative growth opportunities for the AI computer market throughout the forecast period.
The US market dominated the North America AI Computer Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $93.45 billion by 2031. The Canada market is expected to witness a CAGR of 35.7% during 2024-2031. Additionally, the Mexico market would register a CAGR of 34.6% during 2024-2031.
AI computers are specialized computing systems that handle artificial intelligence (AI) workloads, including machine learning, deep learning, neural networks, and large-scale data processing. Unlike traditional computers, which rely primarily on central processing units (CPUs) for general-purpose tasks, AI computers are optimized with high-performance hardware, including graphics processing units (GPUs), tensor processing units (TPUs), and neural processing units (NPUs). These advanced components enable AI computers to process complex algorithms, train AI models, and perform real-time inferencing at speeds far beyond conventional computing capabilities.
The proliferation of AI-powered applications has led to a surge in AI-specific hardware and infrastructure demand. AI is being used by a growing number of industries, including manufacturing, retail, healthcare, and finance, to increase productivity, optimize processes, and enhance decision-making. AI-powered diagnostics, robotic-assisted surgeries, and personalized medicine are transforming patient care in healthcare. The industry is undergoing a revolution owing to AI's capacity to evaluate medical images, identify illnesses early, and recommend treatment regimens based on patient data.
Sectors such as manufacturing, eCommerce, and enterprise automation are increasingly leveraging AI computing systems for data analytics, workflow management, and predictive intelligence. AI-powered computers are transforming supply chain operations, financial modeling, and customer engagement platforms, allowing businesses to streamline operations and improve efficiency. The government's strategic investments and legislative frameworks have enabled sophisticated AI computing technologies, which have allowed Canadian enterprises to maintain a competitive edge in the global AI landscape. Therefore, as AI computing adoption continues to rise across the region, it presents lucrative growth opportunities for the AI computer market throughout the forecast period.
List of Key Companies Profiled
- Apple, Inc.
- Dell Technologies, Inc.
- Hewlett Packard Enterprise Company
- Lenovo Group Limited
- Intel Corporation
- Advanced Micro Devices, Inc.
- NVIDIA Corporation
- Microsoft Corporation
- Fujitsu Limited
- Google LLC (Alphabet Inc.)
Market Report Segmentation
By Operating System
- Windows
- MacOS
- Other Operating System
By Type
- Hardware-enabled AI PCs
- Next-generation AI PCs
- Advanced AI PCs
By Price
- Low Range (USD 500 - 1,500)
- Mid-Range (USD 1,600 - 3,500)
- High Range (3,600 & above)
By Architecture
- ARM
- x86
By Device
- Desktop & Notebooks
- Workstations
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 AI Computer Market by Operating System
Chapter 6. North America AI Computer Market by Type
Chapter 7. North America AI Computer Market by Price
Chapter 8. North America AI Computer Market by Architecture
Chapter 9. North America AI Computer Market by Device
Chapter 10. North America AI Computer Market by Country
Chapter 11. Company Profiles
Companies Mentioned
- Apple, Inc.
- Dell Technologies, Inc.
- Hewlett Packard Enterprise Company
- Lenovo Group Limited
- Intel Corporation
- Advanced Micro Devices, Inc.
- NVIDIA Corporation
- Microsoft Corporation
- Fujitsu Limited
- Google LLC (Alphabet Inc.)
Methodology
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