AI Agents Market to Exceed USD 567.1 Billion by 2035

The Global AI Agents Market was valued at USD 9.9 billion in 2025 and is projected to reach USD 567.1 billion by 2035, growing at a CAGR of 49.9%. North America led the market with a 42.3% share in 2025, while the U.S. market reached USD 2.7 billion and is expected to grow at a 43.2% CAGR, supported by supported by strong enterprise automation demand, rapid adoption of autonomous AI workflows, rising investment in cloud-based AI infrastructure, and wider use of AI agents across customer service, software development, finance, healthcare, and business operations.

The AI Agents Market refers to the commercial ecosystem built around software systems that can understand goals, plan tasks, use tools, interact with data, and complete actions with limited human support. These agents are being used in customer service, software development, sales operations, finance workflows, research support, cybersecurity, IT automation, and business process management. Their value is rising because enterprises are moving from simple AI chat tools to systems that can complete multi-step work across applications, documents, APIs, and enterprise platforms.

Top Market Takeaways

• By agent system, single agent systems led the AI Agent Market with a 65.3% share in 2025. Growth was supported by easier deployment, focused task handling, and lower integration complexity.

• By product type, ready-to-deploy agents held the largest share of 69.7% in 2025. Adoption increased as enterprises preferred faster setup, ready use cases, and lower development effort.

• By agent role, productivity and personal assistants accounted for 31.6% share in 2025. Demand was driven by use in task management, email support, scheduling, document work, and workflow automation.

• By end use, enterprises dominated the market with a 68.1% share in 2025. Growth was supported by rising use of AI agents to improve efficiency, reduce manual work, and support business decisions.

• Regionally, North America led the AI Agent Market with a 42.3% share in 2025. The U.S. market reached USD 2.7 billion in 2025 and is projected to grow at a 43.2% CAGR, supported by strong AI investment, cloud adoption, and enterprise automation.

• According to IBM, AI-enabled workflows are expected to grow sharply. Business leaders expect AI-enabled workflows to rise from 3% today to 25% by the end of 2025, showing strong movement toward agent-led automation.

• Around 64% of AI budgets are now being spent on core business functions, which shows that companies are moving AI agents closer to daily business work.

• Around 69% of executives said improved decision-making is the top benefit of agentic AI systems.

• Around 83% of executives expect AI agents to improve process efficiency and output by 2026.

• 71% of executives believe agents will autonomously adjust to workflow changes.

Market Overview

The market is gaining strong attention as AI adoption becomes more common across businesses. Deloitte estimated that 25% of companies using generative AI would launch agentic AI pilots or proofs of concept in 2025, increasing to 50% by 2027. This indicates that the market is moving from early testing to wider enterprise pilots, especially in industries where process speed, compliance, and customer service quality are directly linked to business performance.

The growth of the AI Agents Market can be attributed to the rising need for workflow automation, lower operating costs, faster decision-making, and better digital customer engagement. Enterprises are under pressure to reduce repetitive manual work, improve response times, and manage larger volumes of data across departments. AI agents are being adopted because they can support tasks such as ticket handling, lead qualification, document review, coding assistance, procurement support, and internal knowledge search.

According to SellersCommerce, 70% of consumers use AI agents for flights, making it the leading category. Hotels and resorts follow with 65%, while consumer electronics account for 59%. Beauty products represent 56%, followed by clothes at 53% and over-the-counter remedies at 51%. Regular groceries and snacks show lower adoption, with both categories recording 45% of consumers using AI agents.

Business Impact and ROI

• Productivity: According to PwC Survey, Around 66% of organizations report a measurable increase in workforce productivity after using AI agents. This shows that AI agents are becoming useful for reducing manual work and helping teams complete routine tasks faster.

• Operational Efficiency: Companies using AI agents report 55% higher operational efficiency. This improvement is mainly linked to faster workflows, better task automation, and reduced delays in daily business operations.

• Cost Reductions: Routine task operational expenses can drop by up to 90% when virtual agents are used. This makes AI agents valuable for businesses looking to lower repetitive process costs while improving service speed.

• Competitive Edge: About 90% of business leaders view AI agents as an important competitive advantage. This indicates that companies are not only using AI agents for automation, but also for improving customer experience, decision-making, and business agility.

• Developer Speed: By IBM, Software engineers using agentic coding tools complete tasks 55.8% faster. This highlights the growing role of AI agents in software development, especially for code generation, debugging, testing, and documentation support.

Regional Insights

North America led the AI Agents Market with 42.3% share in 2025, supported by strong enterprise software adoption, advanced cloud infrastructure, high AI investment, and faster use of automation tools across large organizations. The region has a mature digital ecosystem, where companies are actively using AI agents for customer support, sales operations, IT service management, employee productivity, and workflow automation.

The growth of the region can also be attributed to the early adoption of cloud-based AI platforms and strong demand from sectors such as BFSI, healthcare, retail, technology, and professional services. Enterprises in North America are moving from basic AI chatbots to action-based AI agents that can support decision-making, complete routine tasks, and improve operational efficiency.

The U.S. AI Agents Market was valued at USD 2.7 billion in 2025 and is projected to grow at a 43.2% CAGR, supported by strong enterprise AI spending, advanced cloud infrastructure, and wider use of AI tools across business functions. The country remains a key growth center due to high adoption among technology companies, financial institutions, healthcare providers, retailers, and professional service firms.

U.S. enterprises are increasingly adopting AI agents for productivity improvement, customer engagement, coding support, business intelligence, sales assistance, and internal process automation. Demand is also being supported by strong investment in generative AI, large language models, agent platforms, and secure enterprise AI systems, which are helping companies shift from pilot projects to wider commercial deployment.

Stanford’s 2025 AI Index reported that U.S. private AI investment reached USD 109.1 billion in 2024, while global private investment in generative AI reached USD 33.9 billion, an 18.7% increase from 2023. This funding environment is likely to support new agent platforms, enterprise AI infrastructure, model governance tools, and vertical-specific AI agent applications.

Agent System Insights

Single agent systems dominated the AI Agents Market with 65.3% share in 2025, supported by their simpler design, lower integration burden, and faster deployment across routine business workflows. These systems are widely used for task automation, customer support, content handling, scheduling, research assistance, and internal productivity because they can operate around one defined goal or process.

The dominance of single agent systems can also be linked to the early maturity stage of enterprise agent adoption. A 2026 industry study on agentic AI adoption found that many companies are still using AI assistants or limited agent functions, while full multi-agent orchestration remains less common in production settings. This supports the strong position of single agent systems, as enterprises usually prefer controlled use cases before expanding to more complex agent networks.

By Product Type Insights

Ready-to-deploy agents held 69.7% share in 2025, driven by the need for fast implementation, lower development cost, and easier integration with existing software. These agents are preferred by companies that want practical automation without building a custom AI agent system from the ground up.

Adoption is being supported by pre-built agents for sales, customer service, HR, finance, IT support, and office productivity. AWS has highlighted that 62% of organizations prefer to buy pre-built agent solutions, while 50% already have 10 or more agents in production. This shows why ready-to-deploy agents are gaining stronger demand among enterprises that want speed, reliability, and lower technical risk.

By Agent Role Insights

Productivity and personal assistants accounted for 31.6% share in 2025, making this the leading agent role. These agents are being used to manage emails, summarise documents, prepare reports, schedule meetings, support research, generate content, and help employees complete daily tasks with less manual effort.

The segment is also benefiting from the wider use of AI tools in office environments. Employees are increasingly using AI assistants to reduce repetitive work and improve task completion speed. As a result, productivity and personal assistant agents are becoming an important entry point for enterprise AI adoption.

By End Use Insights

Enterprises dominated the AI Agents Market with a 68.1% share in 2025, supported by rising adoption across customer service, sales operations, IT service management, finance, compliance, supply chain, and internal knowledge management. Large organizations are using AI agents to reduce repetitive work, improve process speed, and support employees across multiple business functions.

Enterprise demand is also being shaped by the shift from basic chatbots to agents that can take action across business systems. IBM reported that business leaders expected an 8x surge in AI-enabled workflows by 2025, with AI agents being used to improve process efficiency and reduce operating costs. This confirms that enterprise users are becoming the strongest buyers of AI agent solutions.

Key Market Segments

By Agent System

• Single Agent Systems

• Multi Agent Systems

By Product Type

• Ready-To-Deploy Agents

• Build-Your-Own Agents

By Agent Role

• Productivity & Personal Assistants

• Sales

• Marketing

• Legal

• Customer Service & Support

• Coding & Software Development

• Product Management

• Accounting

• Human Resources

• Business Intelligence

• Agent Roles

By End Use

• Consumers

• Enterprises

  • BFSI

  • Telecommunications

  • Government & Public Sector

  • Healthcare & Life Sciences

  • Manufacturing

  • Media & Entertainment

  • Retail & E-Commerce

  • Professional Service Providers

  • Law Firms

  • Other Enterprises

By Regional

• North America

• Europe

• Asia Pacific

• Latin America

• Middle East and Africa

Drivers Impact Analysis

Restraints Impact Analysis

Opportunities Impact Analysis

Challenges Impact Analysis

Recent Developments

• June 2026 – Meta Platforms launched an AI‑powered Business Agent designed to automate enterprise workflows such as booking, sales assistance, and customer inquiry management. This offering expands Meta’s AI product ecosystem and targets large‑scale customizable enterprise use across WhatsApp, Messenger, and Instagram. The company also created a new Enterprise Solutions team to focus on agentic AI tool deployment and integration with business systems.

• January 2026 – ServiceNow expanded its partnership with Anthropic by integrating Anthropic’s Claude AI models into ServiceNow’s Build Agent platform. This deep integration enables natural‑language creation of applications and automated workflows, strengthening ServiceNow’s position in enterprise automation and AI‑powered task execution.

• July 2025 – H Company, a French AI startup, developed and open‑sourced Surfer‑H‑CLI, a browser‑based AI agent automation tool capable of performing web tasks autonomously using a 3B‑parameter model. This release reflects broader innovation in agentic automation tools for enterprise and developer use cases.

• December 2025 – ServiceNow announced its largest acquisition to date by agreeing to buy cybersecurity specialist Armis for USD 7.75 billion. This deal supports ServiceNow’s strategy to enhance AI governance, security, and autonomous agent capabilities within enterprise environments, addressing risks associated with increasingly connected and agent‑driven systems.

• November 2025 – Microsoft advanced its AI agent ecosystem by unveiling Project Solara, an Android‑based agent‑first platform aimed at supplanting traditional apps with autonomous AI task execution interfaces. At Build 2026, the company also introduced the Scout personal AI agent built on its in‑house reasoning model, underlining strategic investment in agentic AI across devices and personal productivity.

AI Agents Market Report Scope