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市場調查報告書
商品編碼
2132415
美國基於代理的人工智慧市場規模、佔有率和趨勢分析報告:按組件、應用、最終用途和細分市場預測(2026-2033 年)U.S. Agentic AI Market Size, Share & Trends Analysis Report By Component, By Application, By End-use, And Segment Forecasts, 2026 - 2033 |
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2025年美國基於代理的人工智慧市場價值47億美元,預計將從2026年的66億美元成長到2033年的603億美元,2026年至2033年的複合年成長率為37.1%。
基於代理的人工智慧技術正在美國各地推廣,其應用範圍超越了技術領域,並在醫療保健、金融服務、製造業、零售業、政府和物流等行業中日益普及。
這一成長是由對智慧自動化、營運效率和自主決策日益成長的需求所驅動的。隨著企業對自動化的關注度不斷提高,美國各行各業都在開發擴充性且安全的基於代理的人工智慧解決方案。科技公司正擴大建立策略夥伴關係,以加速創新和企業應用。這些合作將人工智慧基礎設施、軟體平台和特定領域的專業知識相結合,以改善自主決策並簡化營運。此外,這些合作關係使企業能夠部署具有更高安全性、管治和可擴展性的基於代理的人工智慧解決方案。例如,2026年5月,NVIDIA公司擴大了與ServiceNow的合作,加速企業部署自主人工智慧代理。此次合作推出了「Project Arc」項目,該項目將NVIDIA的人工智慧基礎設施與ServiceNow的工作流程自動化和管治平台整合,從而能夠部署安全、可擴展的企業級基於代理的人工智慧。
在美國市場,人工智慧助理正從生成式人工智慧助理轉向能夠執行複雜多階段工作流程的自主人工智慧代理。企業正擴大採用基於代理的人工智慧解決方案,這些方案能夠自主規劃、推理和執行任務,最大限度地減少人工干預。這項轉變的驅動力在於企業對智慧自動化、提升營運效率以及加速業務決策日益成長的需求。各組織正在將基於代理的人工智慧整合到企業應用程式中,以簡化工作流程、減少人工操作並提高生產力。因此,技術供應商正在擴展其產品組合,提供企業級基於代理的人工智慧解決方案,以支援不斷變化的企業自動化需求。例如,2025年6月,內容和技術公司湯森路透透過其CoCounsel平台發布了基於代理的智慧技術。該解決方案使自主人工智慧代理能夠為稅務、審計和會計專業人員規劃、推理和執行複雜的工作流程,同時保持人工監督和透明度。
在美國基於代理的人工智慧產業,支援多種人工智慧模型、外部工具和應用程式介面(API)的開放框架正日益普及。各組織機構正利用這些框架建構靈活且高度互通性的人工智慧生態系統。開放架構能夠與企業應用程式、雲端平台和第三方服務無縫整合,並簡化跨不同業務職能的自主人工智慧代理的開發和部署。整合多種模型的能力使組織機構能夠選擇最適合特定任務的人工智慧功能。這種方法提高了可擴展性,減少了供應商鎖定,並增強了系統的整體柔軟性。隨著企業不斷擴大其人工智慧投入,對開放、擴充性的基於代理的人工智慧框架的需求持續成長。因此,技術供應商正擴大推出能夠開發安全、可擴展且適用於企業的人工智慧代理的平台和框架。
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: