미국의 에이전틱 AI 시장 규모, 점유율, 동향 분석 보고서 : 구성요소별, 용도별, 최종 용도별 및 부문별 예측(2026-2033년)

U.S. Agentic AI Market Summary

The U.S. agentic AI market size was valued at USD 4.7 billion in 2025, and is projected to grow from USD 6.6 billion in 2026 to USD 60.3 billion by 2033, at a CAGR of 37.1% from 2026 to 2033. Agentic AI adoption is expanding beyond the technology sector across the U.S. and gaining traction in industries such as healthcare, financial services, manufacturing, retail, government, and logistics.

This growth is driven by the increasing demand for intelligent automation, operational efficiency, and autonomous decision-making. The growing focus on enterprise automation is driving the development of scalable and secure agentic AI solutions across U.S. industries. Technology companies are increasingly forming strategic partnerships to accelerate innovation and enterprise adoption. These collaborations combine AI infrastructure, software platforms, and domain expertise to improve autonomous decision-making and streamline business operations. They also enable organizations to deploy Agentic AI solutions with enhanced security, governance, and scalability. For instance, in May 2026, NVIDIA Corporation expanded its partnership with ServiceNow to accelerate enterprise adoption of autonomous AI agents. This partnership introduced Project Arc and integrated NVIDIA's AI infrastructure with ServiceNow's workflow automation and governance platform to enable secure, scalable, and enterprise-grade agentic AI deployment.

The U.S. market is witnessing a shift from generative AI assistants to autonomous AI agents capable of executing complex, multi-step workflows. Enterprises are increasingly adopting agentic AI solutions that can independently plan, reason, and execute tasks with minimal human intervention. This transition is driven by the growing demand for intelligent automation, enhanced operational efficiency, and faster decision-making across business functions. Organizations are integrating agentic AI into enterprise applications to streamline workflows, reduce manual effort, and improve productivity. Consequently, technology providers are expanding their portfolios with enterprise-grade agentic AI solutions to support evolving enterprise automation requirements. For instance, in June 2025, Thomson Reuters, a content and technology company launched agentic intelligence through its CoCounsel platform. The solution enables autonomous AI agents to plan, reason, and execute complex workflows for tax, audit, and accounting professionals while maintaining human oversight and transparency.

The U.S. agentic AI industry is witnessing increasing adoption of open frameworks that support multiple AI models, external tools, and APIs. Organizations are leveraging these frameworks to build flexible and interoperable AI ecosystems. Open architecture enables seamless integration with enterprise applications, cloud platforms, and third-party services. They also simplify the development and deployment of autonomous AI agents across diverse business functions. The ability to integrate multiple models allows organizations to select the most suitable AI capabilities for specific tasks. This approach improves scalability, reduces vendor lock-in, and enhances overall system flexibility. As enterprises expand their AI initiatives, demand for open and extensible agentic AI frameworks continues to grow. Consequently, technology providers are introducing platforms and frameworks that enable secure, scalable, and enterprise-ready AI agent development.

U.S. Agentic AI Market Report Segmentation

This report forecasts revenue growth at a country level and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the U.S. agentic AI market report based on component, application, and end-use:

• Component Outlook (Revenue, USD Billion, 2021 - 2033)
• Solutions
• Services
• Application Outlook (Revenue, USD Billion, 2021 - 2033)
• Customer service
• Supply chain management
• Sales & Marketing
• Financial services
• Software development
• Others
• End-use Outlook (Revenue, USD Billion, 2021 - 2033)
• BFSI
• IT & Telecommunications
• Healthcare & Life Sciences
• Retail & E-commerce
• Manufacturing & Industrial
• Government & Public Sector
• Others

Table of Contents

Chapter 1. Methodology and Scope

• 1.1. Market Segmentation and Scope
• 1.2. Market Definition
• 1.3. Research Methodology
  • 1.3.1. Information Procurement
  • 1.3.2. Information or Data Analysis
  • 1.3.3. Market Formulation & Data Visualization
  • 1.3.4. Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

• 2.1. Market Outlook
• 2.2. Segment Outlook
• 2.3. Competitive Insights

Chapter 3. U.S. Agentic AI Market Variables, Trends, & Scope

• 3.1. Market Introduction/Lineage Outlook
• 3.2. Market Dynamics
  • 3.2.1. Market Driver Analysis
  • 3.2.2. Market Restraint Analysis
  • 3.2.3. Industry Challenge
• 3.3. U.S. Agentic AI Market Analysis Tools
  • 3.3.1. Porter's Analysis
  • 3.3.2. PESTEL Analysis

Chapter 4. U.S. Agentic AI Market: Component Estimates & Trend Analysis

• 4.1. Segment Dashboard
• 4.2. U.S. Agentic AI market: Component Movement Analysis, USD Billion, 2025 & 2033
• 4.3. Solutions
  • 4.3.1. Solutions U.S. Agentic AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
• 4.4. Services
  • 4.4.1. Services U.S. Agentic AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)

Chapter 5. U.S. Agentic AI Market: Application Estimates & Trend Analysis

• 5.1. Segment Dashboard
• 5.2. U.S. Agentic AI market: Application Movement Analysis, USD Billion, 2025 & 2033
• 5.3. Customer service
  • 5.3.1. Customer service U.S. Agentic AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
• 5.4. Supply chain management
  • 5.4.1. Supply chain management U.S. Agentic AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
• 5.5. Sales & Marketing
  • 5.5.1. Sales & Marketing U.S. Agentic AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
• 5.6. Financial services
  • 5.6.1. Financial services U.S. Agentic AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
• 5.7. Software development
  • 5.7.1. Software development U.S. Agentic AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
• 5.8. Others
  • 5.8.1. Others U.S. Agentic AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)

Chapter 6. U.S. Agentic AI Market: End Use Estimates & Trend Analysis

• 6.1. Segment Dashboard
• 6.2. U.S. Agentic AI market: End Use Movement Analysis, USD Billion, 2025 & 2033
• 6.3. BFSI
  • 6.3.1. BFSI U.S. Agentic AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
• 6.4. IT & Telecommunications
  • 6.4.1. IT & Telecommunications U.S. Agentic AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
• 6.5. Healthcare & Life Sciences
  • 6.5.1. Healthcare & Life Sciences U.S. Agentic AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
• 6.6. Retail & E-commerce
  • 6.6.1. Retail & E-commerce U.S. Agentic AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
• 6.7. Manufacturing & Industrial
  • 6.7.1. Manufacturing & Industrial U.S. Agentic AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
• 6.8. Government & Public Sector
  • 6.8.1. Government & Public Sector U.S. Agentic AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)
• 6.9. Others
  • 6.9.1. Others U.S. Agentic AI Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Billion)

Chapter 7. Competitive Landscape

• 7.1. Company Categorization
• 7.2. Company Market Positioning
• 7.3. Participant's Overview
• 7.4. Financial Performance
• 7.5. Application Benchmarking
• 7.6. Company Heat Map Analysis
• 7.7. Strategy Mapping
• 7.8. Company Profiles/Listing
  • 7.8.1. Amazon Web Services, Inc.
    • 7.8.1.1. Participant's Overview
    • 7.8.1.2. Financial Performance
    • 7.8.1.3. Product Benchmarking
    • 7.8.1.4. Recent Developments
  • 7.8.2. Anthropic PBC
    • 7.8.2.1. Participant's Overview
    • 7.8.2.2. Financial Performance
    • 7.8.2.3. Product Benchmarking
    • 7.8.2.4. Recent Developments
  • 7.8.3. Google LLC
    • 7.8.3.1. Participant's Overview
    • 7.8.3.2. Financial Performance
    • 7.8.3.3. Product Benchmarking
    • 7.8.3.4. Recent Developments
  • 7.8.4. IBM Corporation
    • 7.8.4.1. Participant's Overview
    • 7.8.4.2. Financial Performance
    • 7.8.4.3. Product Benchmarking
    • 7.8.4.4. Recent Developments
  • 7.8.5. Microsoft
    • 7.8.5.1. Participant's Overview
    • 7.8.5.2. Financial Performance
    • 7.8.5.3. Product Benchmarking
    • 7.8.5.4. Recent Developments
  • 7.8.6. NVIDIA Corporation
    • 7.8.6.1. Participant's Overview
    • 7.8.6.2. Financial Performance
    • 7.8.6.3. Product Benchmarking
    • 7.8.6.4. Recent Developments
  • 7.8.7. OpenAI
    • 7.8.7.1. Participant's Overview
    • 7.8.7.2. Financial Performance
    • 7.8.7.3. Product Benchmarking
    • 7.8.7.4. Recent Developments
  • 7.8.8. Oracle Corporation
    • 7.8.8.1. Participant's Overview
    • 7.8.8.2. Financial Performance
    • 7.8.8.3. Product Benchmarking
    • 7.8.8.4. Recent Developments
  • 7.8.9. Salesforce, Inc.
    • 7.8.9.1. Participant's Overview
    • 7.8.9.2. Financial Performance
    • 7.8.9.3. Product Benchmarking
    • 7.8.9.4. Recent Developments
  • 7.8.10. Scale AI, Inc.
    • 7.8.10.1. Participant's Overview
    • 7.8.10.2. Financial Performance
    • 7.8.10.3. Product Benchmarking
    • 7.8.10.4. Recent Developments