U.S. Agentic AI Market (2026 - 2033)

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.

Market Dynamics

The U.S. Agentic AI industry is experiencing steady growth due to increasing adoption of AI-driven automation across industries. Organizations are investing in agentic AI solutions to improve operational efficiency, decision-making, and business productivity. Advancements in AI technologies and enterprise digital transformation initiatives are supporting market expansion. Companies are continuously enhancing their AI capabilities through product innovation and technology development. These factors are contributing to the sustained growth of the U.S. market.

Market Concentration & Characteristics

The U.S. agentic AI industry is moderately fragmented, with the presence of established technology companies and emerging AI startups competing across different segments of the value chain. Market participants are focusing on developing foundation models, AI agent platforms, orchestration frameworks, and industry-specific solutions to address evolving enterprise requirements. Companies are continuously expanding their product portfolios to strengthen their market presence and differentiate their offerings. Innovation in autonomous AI capabilities remains a key competitive factor. The availability of diverse solutions contributes to a dynamic and competitive market environment.

Competition is further driven by product launches, strategic partnerships, acquisitions, and investments in AI infrastructure and research. Leading technology providers are collaborating with enterprise software companies to accelerate the commercialization of Agentic AI solutions. Emerging vendors are focusing on specialized applications for industries such as healthcare, financial services, manufacturing, and retail. Companies are also investing in secure, scalable, and interoperable AI platforms to support enterprise adoption. These competitive strategies are expected to shape the continued growth and evolution of the U.S. Agentic AI industry.

Analyst Perspective

The U.S. market for agentic AI is entering a rapid growth phase as enterprises increasingly adopt autonomous AI systems to automate complex workflows and improve operational efficiency. Advancements in foundation models, AI orchestration platforms, and reasoning capabilities are accelerating the development of intelligent agents across industries. Customer service, software development, and business process automation are expected to remain key adoption areas. Increasing investments from technology providers and enterprises will further drive market expansion through 2033. The market is expected to transition from experimentation to widespread enterprise deployment as AI agents become integrated into daily business operations.

Component Insights

The solution segment led the market and accounted for 61.1% of the revenue in 2025, supported by the rising adoption of AI agents, foundation models, orchestration frameworks, and agent development platforms across enterprises. Organizations are deploying integrated AI solutions to automate workflows, strengthen decision-making, and improve operational performance. The increasing need for scalable, interoperable, and enterprise-ready AI platforms is further driving demand for solution offerings. In addition, continuous advancements in autonomous AI technologies are enhancing solution capabilities and expanding their application across industries.

The services segment is expected to witness the fastest CAGR during the forecast period. Growing adoption of agentic AI is increasing demand for consulting, system integration, deployment, customization, training, and managed services. Enterprises are relying on specialized service providers to accelerate implementation, optimize AI performance, and ensure seamless integration with existing IT environments. The rising complexity of enterprise AI deployments and the need for ongoing support are further fueling demand for professional services. Moreover, increasing investments in AI-driven digital transformation are creating significant growth opportunities for service providers.

Application Insights

The customer service segment dominated the U.S. market in 2025 with share of 32.1%, driven by the increasing adoption of AI agents to automate customer interactions, improve response times, and enhance service quality. Organizations are deploying agentic AI solutions to handle routine inquiries, provide personalized support, and deliver round-the-clock assistance across multiple communication channels. The growing focus on improving customer experience while reducing operational costs is further accelerating the adoption of agentic AI in customer service. Continuous advancements in autonomous AI capabilities are expanding the effectiveness of AI-powered customer support solutions.

The software development segment is expected to witness the fastest CAGR over the forecast period. The increasing adoption of AI coding agents is enabling enterprises to automate code generation, testing, debugging, and software maintenance activities. Organizations are leveraging agentic AI to improve developer productivity, accelerate software development cycles, and reduce operational efforts. The rise of AI-native development platforms and autonomous software engineering workflows is further driving demand for agentic AI solutions in this segment.

End-use Insights

The BFSI segment dominated the market with revenue share of 26.1% in 2025, driven by the rapid adoption of autonomous AI solutions among U.S. banks, insurance providers, and financial institutions to strengthen fraud detection, risk management, customer engagement, and regulatory compliance. Growing investments in AI-driven digital transformation, coupled with increasing demand for real-time financial insights and personalized banking services, are accelerating adoption across the country. Agentic AI is also enabling U.S. financial institutions to automate complex workflows, improve operational efficiency, and reduce costs while enhancing customer experience.

The healthcare & life sciences segment is projected to register the fastest CAGR over the forecast period, driven by the increasing adoption of autonomous AI solutions across hospitals, healthcare providers, pharmaceutical companies, and life sciences organizations. Rising investments in AI-powered clinical decision support, patient engagement, drug discovery, medical research, and administrative workflow automation are accelerating adoption. Moreover, the growing focus on improving care outcomes, reducing operational costs, and addressing workforce shortages is expected to further drive the deployment of agentic AI across the U.S. healthcare ecosystem.

Key U.S. Agentic AI Company Insights

Some key companies in the U.S. Agentic AI industry are Amazon Web Services, Inc., Anthropic PBC, Google LLC, IBM Corporation

• Amazon Web Services, Inc. is expanding its agentic AI capabilities through the launch of platforms and services that enable enterprises to build, deploy, and manage AI agents at scale. The company is investing in AI infrastructure, foundation models, and developer tools to support enterprise adoption of autonomous AI solutions. AWS is strengthening its ecosystem by helping organizations integrate AI agents into business workflows across industries. These advancements are accelerating the adoption of agentic AI applications in areas such as automation, customer service, and enterprise operations. The company’s developments are reinforcing its role in the growing U.S. agentic AI industry.

• IBM Corporation is advancing its agentic AI offerings by developing enterprise-focused platforms that enable organizations to deploy secure and scalable AI agents. The company is integrating AI agents with cloud, automation, and data management capabilities to improve business processes. IBM is focusing on governance, security, and responsible AI adoption to support enterprise deployments. These developments are helping organizations automate complex workflows and enhance decision-making. IBM’s initiatives are contributing to the expansion of agentic AI adoption across U.S. industries.

Key U.S. Agentic AI Companies:

• Amazon Web Services, Inc.

• Anthropic PBC

• Google LLC

• IBM Corporation

• Microsoft

• NVIDIA Corporation

• OpenAI

• Oracle Corporation

• Salesforce, Inc.

• Scale AI, Inc.

Competitive Benchmarking

Recent Developments:

• In May 2026, IBM Corporation, a U.S.-based technology company providing AI, cloud, and consulting solutions, expanded its partnership with Oracle to develop agentic AI and hybrid cloud capabilities. The collaboration enables organizations to build, deploy, and scale AI agents across business operations by integrating AI, automation, and cloud technologies.

• In July 2025, Amazon Web Services, Inc. launched Amazon Bedrock AgentCore, a suite of enterprise-grade services that enables developers to securely build, deploy, and operate AI agents at scale. The platform provides capabilities such as agent runtime, memory, identity management, observability, and tool integration to support production-ready agentic AI applications.

U.S. Agentic AI Market Report Scope

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

Research Methodology

The U.S. agentic AI market figures in this report are based on a proven research process that combines executive interviews with secondary research from proprietary databases, company filings, and recognized regulatory and institutional sources. Market size is built through value-chain sizing—reconciling supply-side and demand-side estimates—and triangulated with bottom-up and top-down approaches. Every estimate passes multiple levels of expert validation before publication, with each U.S. agentic AI segment quantified using the revenue-capture definitions in the table below.

Segment Definition

Estimation Model

Delivered Customizations

This report has been delivered with the following In-depth customizations