U.S. AI Agents Market Size, Growth Trends & Forecast 2025
U.S. AI Agents Market Size, Share & Trends Analysis Report By Technology (Machine Learning, Natural Language Processing), By Agent System, By Type, By Application, By End Use, And Segment Forecasts
Published Date: May - 2025 | Publisher: MIR | No of Pages: 260 | Industry: technology | Format: Report available in PDF / Excel Format
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Estimated at USD 1,603.0 million in 2024 and expected to increase at a CAGR of 43.3%, the U.S. AI agents market size is Cloud systems are progressively allowing artificial intelligence agents to be merged with. This development points to the need for scalable and adaptable deployment choices. Effective management of agents over several settings is made possible by cloud infrastructure. It also enables flawless connection with data sources and corporate systems. Through cloud-based distribution, constant upgrades and maintenance are more manageable. For example, IBM Corporation and Amazon Web Services, Inc., a U.S.-based cloud computing company, are strengthening their cooperation in May 2025 to provide agentic AI capabilities via integrations, including Amazon Q Index and IBM Watson Orchestrate, enabling personalized, enterprise-grade AI solutions. To promote scalable, trustworthy AI, IBM Corporation is also extending Granite 3.2 models, governance tools, and automation software throughout AWS Marketplace.
In the developing artificial intelligence industry, marketplaces for AI agents are starting to show up somewhat frequently. These systems give tools so users may develop agents fit for particular tasks. These systems allow for a high degree of customization based on the specific needs of different jobs or industries. Users of a shared marketplace can assign their agents to others. This strategy promotes cooperation and the reusing of workable answers. By streamlining development and deployment techniques, it also accelerates acceptance. For example, Hippocratic AI, a healthcare technology startup, debuted its creative Healthcare AI Agent App Store in January 2025 so that doctors could design personalized AI agents for patient care in under thirty minutes. This platform enables medical practitioners to share in the income earned by their agents and handle operational issues. By means of thorough safety testing and direct clinician interaction, Hippocratic AI seeks to improve patient outcomes through cooperative artificial intelligence development.
Increasingly linked with Internet of Things (IoT) devices, artificial intelligence agents provide a fresh degree of automation to many different sectors. By means of this integration, artificial intelligence agents can oversee chores including equipment control, inventory monitoring, and temperature adjustment. For instance, AI agents track stock levels and automatically replenish popular products using IoT devices in retail. Smart homes let users control lighting and heating depending on their choices or outside temperature. By reacting in real-time to altering circumstances, these AI-powered devices not only automate repetitive jobs but also increase operational efficiency. The possibility for AI agents to maximize processes increases as more IoT devices are installed, therefore enabling companies to be more agile.
Technology Insights
The machine learning segment led the market with the largest revenue share of 30.7% in 2024. This growth was driven by rising adoption across customer support functions, virtual assistant platforms, and data-driven decision-making applications. Organizations increasingly turned to machine learning to improve automation and streamline user interactions. Its ability to analyze large datasets and continuously optimize performance made it essential for intelligent agent development. The segment's prominence highlights its strategic importance in enhancing AI capabilities. As demand for intelligent, adaptive systems grows, machine learning remains central to innovation in this market.
The deep learning segment is anticipated to witness the fastest CAGR during the forecast period, emerging as the fastest-growing technology area in this space. This expansion is driven by its superior capabilities in handling complex tasks such as natural language processing, image recognition, and speech analysis. The segment benefits from advancements in computational infrastructure, especially the use of high-performance GPUs, which have accelerated model training and deployment. Major players such as Google LLC, Microsoft, and NVIDIA Corporation are investing heavily in this field, while startups are also contributing with novel applications.
Report Coverage & Deliverables
The PDF report and online dashboard will help you understand
- Competitive benchmarking
- Historical data & forecasts
- Company revenue shares
- Regional opportunities
- Latest trends & dynamics
Agent System Insights
The single-agent systems segment accounted for the largest market revenue share in 2024 due to their simplicity, lower implementation costs, and suitability for tasks that do not require collaboration. These systems operate independently and have been widely adopted in areas such as customer support and task automation. Their reliability, ease of integration, and lower resource requirements have supported rapid deployment across various applications. As a result, Single Agent Systems continue to maintain a strong presence in the current market sector. Their dominance reflects the early-stage maturity of AI deployment, where focused, task-specific solutions are often prioritized.
The multi-agent systems segment is expected to grow at the fastest CAGR during the forecast period, driven by increasing demand for intelligent collaboration and decentralized problem-solving. These systems enable multiple agents to work together, making them essential in complex environments such as robotics, autonomous vehicles, and logistics. Advances in communication protocols and distributed computing are enhancing their capabilities and performance. Organizations are increasingly adopting Multi Agent Systems to manage dynamic, real-time scenarios that require flexibility and coordination. As application complexity grows, these systems are gaining traction across multiple sectors.
Type Insights
The ready-to-deploy agents segment accounted for the largest market revenue share in 2024 due to their ease of implementation and faster time-to-value. These pre-configured solutions are widely used in customer service, sales, and internal automation tasks. They allow organizations to adopt AI with minimal technical effort or infrastructure changes. Vendors offer extensive support, templates, and integrations, making these agents attractive to enterprises seeking quick deployment. As a result, Ready-to-Deploy Agents continue to be the preferred choice for businesses prioritizing efficiency and speed.
The build-your-own agents segment is anticipated to grow at the fastest CAGR during the forecast period; it is due to growing in popularity as organizations seek more control and customization in their AI deployments. These agents enable companies to tailor capabilities according to specific workflows, use cases, and industry requirements. The rise of low-code and no-code platforms has made development more accessible to non-technical users. This approach supports long-term scalability and deeper integration with internal systems. As digital maturity increases, Build-Your-Own Agents are gaining traction among enterprises with more complex or evolving needs.
Application Insights
The customer service and virtual assistants segment accounted for the largest market revenue share in 2024, driven by their widespread use in automating support tasks and enhancing user engagement. Businesses across industries have adopted these solutions to handle high volumes of customer interactions efficiently. They offer benefits such as 24/7 availability, reduced response times, and lower operational expenses. Integration with CRM platforms and natural language processing tools has further improved their effectiveness. As a result, these use cases remain the most established and commercially mature in the market.
The healthcare segment is anticipated to grow at the fastest CAGR during the forecast period, fueled by increasing demand for automation and personalized care. AI agents are being deployed for appointment scheduling, symptom checking, patient engagement, and administrative support. The sector benefits from advancements in AI-driven diagnostics, clinical decision support, and medical data processing. Regulatory clarity and growing investments in health tech are accelerating adoption. As healthcare organizations strive to improve efficiency and patient outcomes, this segment is expected to expand significantly in the coming years.
End Use Insights
The enterprise sector segment accounted for the largest market revenue share in 2024, benefiting from strong demand for automation, productivity enhancement, and customer engagement across various business functions. Large organizations have widely adopted AI agents for sales, marketing, HR, and IT support to streamline operations and improve decision-making. The availability of ready-to-deploy solutions and integration with enterprise software has accelerated adoption. Enterprises prioritize scalability, security, and compliance, which AI agents increasingly address. This sector remains the primary driver of market growth and innovation.
The industrial segment is expected to grow at the fastest CAGR during the forecast period, as AI agents find new applications in manufacturing, supply chain management, and equipment maintenance. AI agents assist in predictive maintenance, quality control, and real-time monitoring, improving operational efficiency and reducing downtime. Advances in IoT and edge computing have facilitated the deployment of intelligent agents in industrial environments. Growing investment in Industry 4.0 technologies supports this expansion. As industries seek to modernize and optimize production, the role of AI agents in industrial settings is set to increase significantly.
Key U.S. AI Agents Company Insights
Some of the key companies in the U.S. AI Agents industry include Amazon.com, Inc., Cognigy, Google LLC, IBM Corporation, Amelia US LLC, and others. Organizations are focusing on increasing their customer base to gain a competitive edge in the industry. Therefore, key players are taking several strategic initiatives, such as mergers and acquisitions and partnerships with other major companies.
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Microsoft has made significant advancements in AI agents by integrating them into its Azure cloud platform and Microsoft 365 suite. Its AI agents, such as Cortana and conversational AI services, enhance productivity and automate workflows across enterprises. Microsoft focuses on enabling developers to build customized AI agents with tools such as the Bot Framework and Azure Cognitive Services. The company’s continuous investment in large language models and natural language processing strengthens the capabilities of its AI agents.
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NVIDIA Corporation drives AI agent development through its powerful GPUs and AI computing platforms that accelerate deep learning and neural network training. NVIDIA’s software frameworks, such as CUDA and TensorRT, support efficient AI model deployment, making it easier to build advanced AI agents. The company’s investments in AI research, including conversational AI and reinforcement learning, enable smarter and faster agents.
Key U.S. AI Agent Companies
- Amazon.com, Inc.
- Cognigy
- Google LLC
- IBM Corporation
- Amelia US LLC
- LivePerson
- Microsoft
- NVIDIA Corporation
- Nuance Communications
- Salesforce, Inc.
Recent Developments
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In April 2025, Microsoft launched powerful AI agents such as Researcher and Analyst, designed to act as digital colleagues that perform complex workplace tasks using deep reasoning capabilities. These agents, available through a new Agent Store with partners and custom options, aim to transform work by enabling closer collaboration between humans and AI in enterprise environments.
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In March 2025, NVIDIA Corporation launched the Llama Nemotron AI models to help developers build advanced AI agents for complex tasks with improved accuracy and speed. Major companies such as Microsoft, SAP SE, and Accenture are using these models to enhance their AI solutions
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In September 2024, Salesforce, Inc., collaborated with NVIDIA Corporation to advance AI agent innovation by combining NVIDIA’s AI platform with Salesforce’s Agentforce, enhancing predictive and generative AI workflows for enterprises. This collaboration aims to deliver more engaging, intelligent customer and employee experiences through AI-powered avatars and optimized AI performance across sales, service, marketing, and IT teams.
U.S. AI Agents Market Report Scope
Report Attribute |
Details |
Market size value in 2025 |
USD 2,229.3 million |
Revenue forecast in 2030 |
USD 13,459.3 million |
Growth rate |
CAGR of 43.3% from 2025 to 2030 |
Base year for estimation |
2024 |
Historical data |
2018-2023 |
Forecast period |
2025-2030 |
Quantitative units |
Revenue in USD million/billion and CAGR from 2025 to 2030 |
Report coverage |
Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
Segment scope |
Technology, agent system, type, application, end use |
Country scope |
U.S. |
Key companies profiled |
Amazon.com, Inc.; Cognigy; Google LLC; IBM Corporation; Amelia US LLC; LivePerson; Microsoft; NVIDIA Corporation; Nuance Communications; Salesforce, Inc. |
Customization scope |
We offer free report customization, equivalent to up to 8 analysts' working days, with every purchase. Addition or alteration to country, segment scope |
Pricing and purchase options |
Avail yourself of customized purchase options to meet your exact research needs. Explore purchase options |
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 subsegments from 2018 to 2030. For this study, MIR has segmented the U.S. AI agents market report based on technology, agent system, type, application, and end use
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Technology Outlook (Revenue, USD Million, 2018–2030)
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Machine Learning
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Natural Language Processing (NLP)
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Deep Learning
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Computer Vision
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Others
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- Agent System (Revenue, USD Million, 2018-2030)
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Single Agent Systems
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Multi Agent Systems
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Type Outlook (Revenue, USD Million, 2018-2030)
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Ready-to-Deploy Agents
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Build-Your-Own Agents
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Application (Revenue, USD Million, 2018-2030)
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Customer Service and Virtual Assistants
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Robotics and Automation
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Healthcare
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Financial Services
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Security and Surveillance
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Gaming and Entertainment
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Marketing and sales
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Human Resources
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Legal and compliance
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Others
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End Use (Revenue, USD Million, 2018-2030)
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Consumer
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Enterprise
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Industrial
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Table of Content
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: Agent System Outlook Estimates & Forecasts
7.1. U.S. AI Agents Market: Agent System 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
List of Tables
Table 1 U.S AI Agents market estimates and forecasts, by Technology, 2018 - 2030 (USD Million)
Table 2 U.S AI Agents market estimates and forecasts, by Agent System, 2018 - 2030 (USD Million)
Table 3 U.S AI Agents market estimates and forecasts, by Type, 2018 - 2030 (USD Million)
Table 4 U.S AI Agents market estimates and forecasts, by Application, 2018 - 2030 (USD Million)
Table 5 U.S AI Agents market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
List of Figures
Fig. 1 U.S AI Agents market segmentation
Fig. 2 Market research process
Fig. 3 Information procurement
Fig. 4 Primary research pattern
Fig. 5 Market research approaches
Fig. 6 Parent market analysis
Fig. 7 Market formulation & validation
Fig. 8 U.S AI Agents market snapshot
Fig. 9 U.S AI Agents market segment snapshot
Fig. 10 U.S AI Agents market competitive landscape snapshot
Fig. 11 Market driver relevance analysis (Current & future impact)
Fig. 12 Market restraint relevance analysis (Current & future impact)
Fig. 13 Value Chain Analysis
Fig. 14 U.S AI Agents market: Technology outlook key takeaways (USD million)
Fig. 15 U.S AI Agents market: Technology movement analysis 2024 & 2030 (USD million)
Fig. 16 Machine Learning market revenue estimates and forecasts, 2018 - 2030 (USD million)
Fig. 17 Natural Language Processing (NLP) market revenue estimates and forecasts, 2018 - 2030 (USD million)
Fig. 18 Deep Learning market revenue estimates and forecasts, 2018 - 2030 (USD million)
Fig. 19 Computer Vision market revenue estimates and forecasts, 2018 - 2030 (USD million)
Fig. 20 Others market revenue estimates and forecasts, 2018 - 2030 (USD million)
Fig. 21 U.S AI Agents market: Agent System outlook key takeaways (USD million)
Fig. 22 U.S AI Agents market: Agent System movement analysis 2024 & 2030 (USD million)
Fig. 23 Single Agent Systems market revenue estimates and forecasts, 2018 - 2030 (USD million)
Fig. 24 Multi Agent Systems market revenue estimates and forecasts, 2018 - 2030 (USD million)
Fig. 25 U.S AI Agents market: Type outlook key takeaways (USD million)
Fig. 26 U.S AI Agents market: Type movement analysis 2024 & 2030 (USD million)
Fig. 27 Ready-to-Deploy Agents market revenue estimates and forecasts, 2018 - 2030 (USD million)
Fig. 28 Build-Your-Own Agents market revenue estimates and forecasts, 2018 - 2030 (USD million)
Fig. 29 U.S AI Agents market: Application outlook key takeaways (USD million)
Fig. 30 U.S AI Agents market: Application movement analysis 2024 & 2030 (USD million)
Fig. 31 Customer Service and Virtual Assistants market revenue estimates and forecasts, 2018 - 2030 (USD million)
Fig. 32 Robotics and Automation market revenue estimates and forecasts, 2018 - 2030 (USD million)
Fig. 33 Healthcare market revenue estimates and forecasts, 2018 - 2030 (USD million)
Fig. 34 Financial Services market revenue estimates and forecasts, 2018 - 2030 (USD million)
Fig. 35 Security and Surveillance market revenue estimates and forecasts, 2018 - 2030 (USD million)
Fig. 36 Gaming and Entertainment market revenue estimates and forecasts, 2018 - 2030 (USD million)
Fig. 37 Marketing and sales market revenue estimates and forecasts, 2018 - 2030 (USD million)
Fig. 38 Human Resources market revenue estimates and forecasts, 2018 - 2030 (USD million)
Fig. 39 Legal and compliance market revenue estimates and forecasts, 2018 - 2030 (USD million)
Fig. 40 Others market revenue estimates and forecasts, 2018 - 2030 (USD million)
Fig. 41 U.S AI Agents market: End Use outlook key takeaways (USD million)
Fig. 42 U.S AI Agents market: End Use movement analysis 2024 & 2030 (USD million)
Fig. 43 Consumer market revenue estimates and forecasts, 2018 - 2030 (USD million)
Fig. 44 Enterprise market revenue estimates and forecasts, 2018 - 2030 (USD million)
Fig. 45 Industrial market revenue estimates and forecasts, 2018 - 2030 (USD million)
Fig. 46 Strategy framework
Fig. 47 Company Categorization
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