Product Code: GVR-4-68040-587-0
Market Size & Trends:
The U.S. AI agents market size was estimated at USD 1,603.0 million in 2024 and is projected to grow at a CAGR of 43.3% from 2025 to 2030. AI agents are increasingly being integrated with cloud platforms. This trend shows the need for scalable and flexible deployment options. Cloud infrastructure enables efficient management of agents across various environments. It also allows seamless integration with enterprise systems and data sources. Continuous updates and maintenance are more easily handled through cloud-based delivery. For instance, in May 2025, IBM Corporation and Amazon Web Services, Inc., a U.S.-based cloud computing company are deepening their collaboration to deliver agentic AI capabilities through integrations such as Amazon Q index with IBM Watson Orchestrate, enabling personalized, enterprise-grade AI solutions. IBM Corporation is also expanding its Granite 3.2 models, governance tools, and automation software across AWS Marketplace to support scalable, trustworthy AI.
AI agent marketplaces are becoming a prominent trend in the evolving AI sector. These platforms provide tools for users to create agents suited to specific functions. They allow for high levels of customization based on industry or task requirements. Users can distribute their agents to others through a shared marketplace. This approach encourages collaboration and the reuse of effective solutions. It also drives faster adoption by simplifying development and deployment processes. For instance, in January 2025, Hippocratic AI, a healthcare technology company, launched its innovative Healthcare AI Agent App Store, enabling clinicians to create customized AI agents for patient care in under 30 minutes. This platform empowers healthcare professionals to address operational challenges while sharing in the revenue generated by their agents. With rigorous safety testing and direct clinician involvement, Hippocratic AI aims to enhance patient outcomes through collaborative AI development.
AI agents are increasingly integrated with Internet of Things (IoT) devices, bringing a new level of automation to various industries. This integration allows AI agents to manage tasks such as adjusting temperatures, monitoring inventory, and controlling equipment. In retail, for example, AI agents work with IoT devices to track stock levels and automatically reorder popular products. In smart homes, they can adjust heating and lighting based on user preferences or external weather conditions. These AI-powered systems not only automate routine tasks but also improve operational efficiency by responding in real-time to changing conditions. As more IoT devices are deployed, the potential for AI agents to optimize workflows grows, making businesses more agile.
U.S. AI Agents Market Report Segmentation
This report offers revenue growth forecasts at the country level and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the U.S. AI agents market report based on technology, agent system, type, application and end use:
- Technology Outlook (Revenue, USD Million, 2018 - 2030)
- Machine Learning
- Natural Language Processing (NLP)
- Deep Learning
- Computer Vision
- Others
- Agent System (Revenue, USD Million, 2018 - 2030)
- Single Agent Systems
- Multi Agent Systems
- Type Outlook (Revenue, USD Million, 2018 - 2030)
- Ready-to-Deploy Agents
- Build-Your-Own Agents
- Application (Revenue, USD Million, 2018 - 2030)
- Customer Service and Virtual Assistants
- Robotics and Automation
- Healthcare
- Financial Services
- Security and Surveillance
- Gaming and Entertainment
- Marketing and sales
- Human Resources
- Legal and compliance
- Others
- End Use (Revenue, USD Million, 2018 - 2030)
- Consumer
- Enterprise
- Industrial
Table of Contents
Chapter 1. Methodology and Scope
- 1.1. Market Segmentation & Scope
- 1.2. Market Definition
- 1.3. Information Procurement
- 1.3.1. Purchased Database
- 1.3.2. GVR's Internal Database
- 1.3.3. Secondary Sources & Third-Party Perspectives
- 1.3.4. Primary Research
- 1.4. Information Analysis
- 1.4.1. Data Analysis Models
- 1.5. Market Formulation & Data Visualization
- 1.6. Data Validation & Publishing
Chapter 2. Executive Summary
- 2.1. Market Insights
- 2.2. Segmental Outlook
- 2.3. Competitive Outlook
Chapter 3. U.S. AI Agents Market Variables, Trends & Scope
- 3.1. U.S. AI Agents Market Outlook
- 3.2. Industry Value Chain Analysis
- 3.3. Market Dynamics
- 3.3.1. Market Driver Analysis
- 3.3.2. Market Restraint Analysis
- 3.3.3. Industry Challenges
- 3.4. Porter's Five Forces Analysis
- 3.4.1. Supplier Power
- 3.4.2. Buyer Power
- 3.4.3. Substitution Threat
- 3.4.4. Threat from New Entrant
- 3.4.5. Competitive Rivalry
- 3.5. PESTEL Analysis
- 3.5.1. Political Landscape
- 3.5.2. Economic Landscape
- 3.5.3. Social Landscape
- 3.5.4. Technological Landscape
- 3.5.5. Environmental Landscape
- 3.5.6. Legal Landscape
Chapter 4. U.S. AI Agents Market: Technology Estimates & Forecasts
- 4.1. U.S. AI Agents Market: Technology Movement Analysis, 2024 & 2030
- 4.1.1. Machine Learning
- 4.1.1.1. Machine Learning Market estimates and forecast, 2018 - 2030 (USD Million)
- 4.1.2. Natural Language Processing (NLP)
- 4.1.2.1. Natural Language Processing (NLP) Market estimates and forecast, 2018 - 2030 (USD Million)
- 4.1.3. Deep Learning
- 4.1.3.1. Deep Learning Market estimates and forecast, 2018 - 2030 (USD Million)
- 4.1.4. Computer Vision
- 4.1.4.1. Computer Vision Market estimates and forecast, 2018 - 2030 (USD Million)
- 4.1.5. Others
- 4.1.5.1. Others Market estimates and forecast, 2018 - 2030 (USD Million)
Chapter 5. U.S. AI Agents Market: Agent System Outlook Estimates & Forecasts
- 5.1. U.S. AI Agents Market: Agent System Movement Analysis, 2024 & 2030
- 5.1.1. Single Agent Systems
- 5.1.1.1. Single Agent Systems Market estimates and forecast, 2018 - 2030 (USD Million)
- 5.1.2. Multi Agent Systems
- 5.1.2.1. Multi Agent Systems Market estimates and forecast, 2018 - 2030 (USD Million)
Chapter 6. U.S. AI Agents Market: Type Estimates & Forecasts
- 6.1. U.S. AI Agents Market: Type Movement Analysis, 2024 & 2030
- 6.1.1. Ready-to-Deploy Agents
- 6.1.1.1. Ready-to-Deploy Agents Market estimates and forecast, 2018 - 2030 (USD Million)
- 6.1.2. Build-Your-Own Agents
- 6.1.2.1. Build-Your-Own Agents Market estimates and forecast, 2018 - 2030 (USD Million)
Chapter 7. U.S. AI Agents Market: Application Outlook Estimates & Forecasts
- 7.1. U.S. AI Agents Market: Application Movement Analysis, 2024 & 2030
- 7.1.1. Customer Service and Virtual Assistants
- 7.1.1.1. Customer Service and Virtual Assistants Market estimates and forecast, 2018 - 2030 (USD Million)
- 7.1.2. Robotics and Automation
- 7.1.2.1. Robotics and Automation Market estimates and forecast, 2018 - 2030 (USD Million)
- 7.1.3. Healthcare
- 7.1.3.1. Healthcare Market estimates and forecast, 2018 - 2030 (USD Million)
- 7.1.4. Financial Services
- 7.1.4.1. Financial Services Market estimates and forecast, 2018 - 2030 (USD Million)
- 7.1.5. Security and Surveillance
- 7.1.5.1. Security and Surveillance Market estimates and forecast, 2018 - 2030 (USD Million)
- 7.1.6. Gaming and Entertainment
- 7.1.6.1. Gaming and Entertainment Market estimates and forecast, 2018 - 2030 (USD Million)
- 7.1.7. Marketing and sales
- 7.1.7.1. Marketing and sales Market estimates and forecast, 2018 - 2030 (USD Million)
- 7.1.8. Human Resources
- 7.1.8.1. Human Resources Market estimates and forecast, 2018 - 2030 (USD Million)
- 7.1.9. Legal and compliance
- 7.1.9.1. Legal and compliance Market estimates and forecast, 2018 - 2030 (USD Million)
- 7.1.10. Others
- 7.1.10.1. Others Market estimates and forecast, 2018 - 2030 (USD Million)
Chapter 8. U.S. AI Agents Market: End Use Outlook Estimates & Forecasts
- 8.1. U.S. AI Agents Market: End Use Movement Analysis, 2024 & 2030
- 8.1.1. Consumer
- 8.1.1.1. Consumer Market estimates and forecast, 2018 - 2030 (USD Million)
- 8.1.2. Enterprise
- 8.1.2.1. Enterprise Market estimates and forecast, 2018 - 2030 (USD Million)
- 8.1.3. Industrial
- 8.1.3.1. Industrial Market estimates and forecast, 2018 - 2030 (USD Million)
Chapter 9. Competitive Landscape
- 9.1. Recent Developments & Impact Analysis, By Key Market Participants
- 9.2. Vendor Landscape
- 9.2.1. Company categorization
- 9.2.2. List of Key Distributors and channel Partners
- 9.2.3. List of Potential Customers/Listing
- 9.3. Competitive Dynamics
- 9.3.1. Competitive Benchmarking
- 9.3.2. Strategy Mapping
- 9.3.3. Heat Map Analysis
- 9.4. Company Profiles/Listing
- 9.4.1. Amazon.com, Inc.
- 9.4.1.1. Participant's overview
- 9.4.1.2. Financial performance
- 9.4.1.3. Technology benchmarking
- 9.4.1.4. Strategic initiatives
- 9.4.2. Cognigy
- 9.4.2.1. Participant's overview
- 9.4.2.2. Financial performance
- 9.4.2.3. Technology benchmarking
- 9.4.2.4. Strategic initiatives
- 9.4.3. Google LLC
- 9.4.3.1. Participant's overview
- 9.4.3.2. Financial performance
- 9.4.3.3. Technology benchmarking
- 9.4.3.4. Strategic initiatives
- 9.4.4. IBM Corporation
- 9.4.4.1. Participant's overview
- 9.4.4.2. Financial performance
- 9.4.4.3. Technology benchmarking
- 9.4.4.4. Strategic initiatives
- 9.4.5. Amelia US LLC
- 9.4.5.1. Participant's overview
- 9.4.5.2. Financial performance
- 9.4.5.3. Technology benchmarking
- 9.4.5.4. Strategic initiatives
- 9.4.6. LivePerson
- 9.4.6.1. Participant's overview
- 9.4.6.2. Financial performance
- 9.4.6.3. Technology benchmarking
- 9.4.6.4. Strategic initiatives
- 9.4.7. Microsoft
- 9.4.7.1. Participant's overview
- 9.4.7.2. Financial performance
- 9.4.7.3. Technology benchmarking
- 9.4.7.4. Strategic initiatives
- 9.4.8. NVIDIA Corporation
- 9.4.8.1. Participant's overview
- 9.4.8.2. Financial performance
- 9.4.8.3. Technology benchmarking
- 9.4.8.4. Strategic initiatives
- 9.4.9. Nuance Communications
- 9.4.9.1. Participant's overview
- 9.4.9.2. Financial performance
- 9.4.9.3. Technology benchmarking
- 9.4.9.4. Strategic initiatives
- 9.4.10. Salesforce, Inc.
- 9.4.10.1. Participant's overview
- 9.4.10.2. Financial performance
- 9.4.10.3. Technology benchmarking
- 9.4.10.4. Strategic initiatives