The North America artificial intelligence (AI) infrastructure market is set to expand from USD 28.82 billion in 2025 to approximately USD 210.52 billion by 2035, registering a CAGR of 22%, driven by increasing AI adoption, cloud integration, and rising enterprise demand for high-performance computing solutions.

North America Artificial Intelligence (AI) Infrastructure Market Statical Scope

North America leads the artificial intelligence (AI) infrastructure market due to the strong presence of leading companies, advanced data centre ecosystems, and early adoption across industries. The region benefits from massive investments by cloud providers, rising demand for GPU heavy workloads, and the expansion of generative AI applications in enterprise environments. Increasing adoption of artificial intelligence across healthcare, finance and manufacturing sector further driving the demand for advanced AI infrastructure.

Government initiatives and policies support the AI market growth in the region. The region's high spending in research and development and strong venture capital inflows further support market expansion across the region.

North America Artificial Intelligence (AI) Infrastructure Market Share, By Offering, 2025 (%)

• Software - Software is the fastest growing segment with a market share of 32%, fueled by increasing adoption of AI-driven analytics and automation platforms. The growth is further driven by its widespread use in healthcare, baking and other sectors.
• Hardware - Hardware dominates the North American artificial intelligence (AI) infrastructure market with a 68% share in 2025, driven by rising demand for advanced computing infrastructure, AI-enabled processing systems and specialised AI hardware components such as GPUs, TPUs and edge computing devices.

North America Artificial Intelligence (AI) Infrastructure Market Share, By Deployment, 2025 (%)

• On-premises - On-premises deployment dominated the market with a market share of 47%, supported by organizations prioritizing data security, control, and regulatory compliance.
• Cloud - Cloud deployment holds a significant portion, with a share of 35%, driven by growing demand for scalable and flexible AI infrastructure solutions. Businesses are increasingly adopting cloud platforms due to easy integration and reduced infrastructure cost.
• Hybrid - Hybrid deployment holds an 18% share, supported by increasing preference for combined cloud and on-premises operational models.

North America Artificial Intelligence (AI) Infrastructure Market Share, By Technology, 2025 (%)

• Machine Learning - Machine learning dominated the market with a market share of 61%, fueled by widespread adoption in predictive analytics, automation, and intelligent decision-making applications. Machine learning is a widely preferred strategy for businesses looking for smarter solutions.
• Deep Learning - Deep learning is the fastest growing segment with a market share of 39%, driven by increasing use in advanced AI applications such as image recognition, NLP, and autonomous systems.

North America Artificial Intelligence (AI) Infrastructure Market Share, By End-use, 2025 (%)

• Enterprises - Enterprises dominated the market with a market share of 52%, supported by rising adoption of AI technologies to improve operational efficiency and business intelligence.
• Government Organization - Government organizations hold a significant portion, with a share of 16% share, driven by increasing investments in AI-powered public sector and security applications.
• Cloud Services Provider - Cloud service is the fastest growing segment with a market share of 32%, fueled by growing demand for AI-enabled cloud infrastructure and computing services.

Competitive Landscape

The North American artificial intelligence (AI) infrastructure market is highly competitive, featuring major players such as IBM Corporation (U.S.), Microsoft Corporation (U.S.), Alphabet Inc. (U.S.), OpenAI, Inc. (U.S.), Anthropic PBC (U.S.), 1QB Information Technology Inc. (Canada), AMC AI Solutions Inc. (Canada), Ada Support Inc. (Canada), Advanced Symbolics (Canada), Algo8 Inc. (Canada), Softeq (Mexico), AgileEngine (Mexico), and TXM (Mexico). The leading companies are dominating the market through innovation in advanced AI models, platforms, and tools. The companies are investing in AI research and expanding data infrastructure.

• Amazon Web Services (AWS) leads AI infrastructure with Trainium and Inferentia chips and Bedrock platform.
• Microsoft Azure provides GPU clusters, Azure AI supercomputing and OpenAI integrated cloud services for developers and enterprise cloud applications. It focuses on hybrid cloud setups and large language model training.

Recent Developments in the Market

In May 2026, HIVE Digital Technologies' subsidiary BUZZ High Performance Computing (BUZZ HPC) launched Artificial Infrastructure in the Toronto region. This project of AI infrastructure is expected to be one of Canada's largest AI gigafactories and will expand Canada's domestic AI computing capabilities to strengthen the country's position in artificial intelligence development.

Segments Covered in the Report

By Offering

• Hardware
• Software

By Deployment

• On-premises
• Cloud
• Hybrid

By Technology

• Machine Learning
• Deep Learning

By End-use

• Enterprises
• Government Organization
• Cloud Services Provider