The U.S. artificial intelligence (AI) market size was estimated at USD 219.71 billion in 2025 and is predicted to reach around USD 1,169.57 billion by 2035, projected to grow at a CAGR of 18.20% from 2026 to 2035. The U.S. AI industry is witnessing the rise of Agentic AI workflows, the integration of AI into core business operations, and favorable government initiatives and policies.

U.S. Artificial Intelligence (AI) Market Statical Scope

The U.S. government has launched several policy frameworks, major initiatives, and partnerships to secure national security, scale infrastructure, and boost development across the AI industry. The infrastructure and supercomputing initiatives taken by the U.S. government are the Genesis mission launched by the Department of Energy (DOE), the Stargate project, and America's AI action plan.

However, America's AI action plan mandates streamlined permitting for semiconductor factories, AI data center , and the expansion of the energy grid. Moreover, the U.S. Tech Force is an initiative specifically designed to hire tech and engineering specialists directly into federal agencies.

U.S. Artificial Intelligence (AI) Market Artificial Intelligence (AI) Market Share, By Solution, 2025 (%)

• Software- The software segment dominated the market in 2025, with a share of 47%, owing to a shift from software-as-a-service toward agentic AI workflows.
• Hardware- The hardware segment held a 28% share and is expected to grow in the coming years, driven by a shift in focus from hardware toward high-efficiency processing for real-world tasks.
• Services- The services segment held a 25% share and is expected to grow in the coming years due to mass enterprise production workflows and high demand for pay-per-use cloud interface.

U.S. Artificial Intelligence (AI) Market Artificial Intelligence (AI) Market Share, By Technology, 2025 (%)

• Machine Learning- The machine learning segment dominated the market in 2025, with a share of 30%, supported by a major industrial transition from experimental prompt engineering to enterprise-scale autonomous deployment.
• Deep Learning- The deep learning segment held a 26% share and is expected to grow in the coming years, driven by the deployment of deep learning models by enterprises.
• Natural Language Processing (NLP)- The natural language processing (NLP) segment held an 18% share and is expected to grow in the coming years, supported by the rise of small language models, transition to multimodal NLP, and more.

U.S. Artificial Intelligence (AI) Market Artificial Intelligence (AI) Market Share, By Function, 2025 (%)

• Sales and Marketing- The sales and marketing segment dominated the market in 2025, with a share of 20%, owing to technological shifts, specific investment patterns, and performance returns.
• Supply Chain Management- The supply chain management segment held a 19% share and is expected to grow in the coming years, driven by the growing efforts of supply chain organizations to deploy and design pipelines to implement AI and generative AI.
• Operations- The operations segment held an 18% share and is expected to grow in the coming years, accelerated by high investments of corporations into generative AI and the presence of enterprise AI software firms.

U.S. Artificial Intelligence (AI) Market Artificial Intelligence (AI) Market Share, By End-Use, 2025 (%)

• BFSI- The BFSI segment dominated the market in 2025, with a share of 22%, supported by the utilization of AI-driven code conversion by organizations to minimize operational downtime.
• Healthcare- The healthcare segment held an 18% share and is expected to grow in the coming years, driven by the potential of AI to handle multi-step workflows and streamline administrative billing and electronic health record documentation.
• Retail- The retail segment held a 14% share and is expected to grow in the coming years due to the leading sectors like AI software solutions, back-end operations, and predictive analytics .

Competitive Landscape

The U.S. AI industry is dominated by the key industrial players like Anthropic, OpenAI, xAI, and Google DeepMind, which are renowned as the leading AI labs. NVIDIA and Microsoft are leading across the infrastructure and hardware sectors. Moreover, enterprise AI platforms and unicorns are Databricks, Anysphere, Harvey, and Glean. The hyper-funded AI labs are establishing foundational models and enterprise tech models. They are also providing cloud compute, infrastructure, and consumer applications.

Segments Covered in the Report

By Solution

• Hardware
  
  • Accelerators
  • Processors
  • Memory
  • Network
• Software
• Services
  
  • Professional
  • Managed

By Technology

• Deep Learning
• Machine Learning
• Natural Language Processing (NLP)
• Machine Vision
• Generative?AI

By Function

• Cybersecurity
• Finance and Accounting
• Human Resource Management
• Legal and Compliance
• Operations
• Sales and Marketing
• Supply Chain Management

By End-use

• Healthcare
• BFSI
• Law
• Retail
• Advertising & Media
• Automotive & Transportation
• Agriculture
• Manufacturing
• Others