AI Agents Market to hit 567.1 Bn by 2035 | Globe Market Research

AI Agents Market Key Insights

1. Single agent systems led the market with 65.3% share in 2025, supported by easier deployment, focused task handling, and lower integration complexity.
2. Ready-to-deploy agents held the largest product type share at 69.7%, driven by enterprise preference for faster setup, pre-built use cases, and reduced development effort.
3. Productivity and personal assistants accounted for 31.6% share, supported by demand in task management, email support, scheduling, document processing, and workflow automation.
4. Enterprises dominated end-use with 68.1% share, fueled by adoption of AI agents to improve efficiency, reduce manual work, and support business decision-making.
5. North America led the market with 42.3% share, with the U.S. market valued at USD 2.7 billion in 2025 and projected to grow at a CAGR of 43.2%, supported by strong AI investment, cloud adoption, and enterprise automation initiatives.
6. AI-enabled workflows are expected to grow from 3% today to 25% by the end of 2025, reflecting strong adoption of agent-led automation in business operations.
7. Around 64% of AI budgets are allocated to core business functions, indicating that companies are integrating AI agents into daily workflows.
8. Approximately 69% of executives report improved decision-making as the primary benefit of agentic AI systems.
9. Around 83% of executives expect AI agents to enhance process efficiency and output by 2026, while 71% believe agents will autonomously adapt to workflow changes.

What is AI Agent Market?

The AI Agent Market refers to the business ecosystem built around artificial intelligence systems that can understand goals, make decisions, take actions, and complete tasks with limited human input. These agents use large language models, machine learning, automation tools, APIs, memory systems, and workflow orchestration to perform business and consumer tasks. AI agents are used in customer support, software development, sales, marketing, finance, healthcare, operations, and data analysis. The market is expanding as companies move from simple chatbots to intelligent systems that can plan, act, and improve task outcomes.

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% during the forecast period. Growth is being supported by rising demand for automation, faster decision-making, lower operating costs, and improved productivity across digital businesses. North America is expected to remain a leading region due to strong cloud adoption, advanced AI infrastructure, and high enterprise technology spending. The market is also gaining strong momentum in Asia Pacific and Europe as companies increase investment in AI-led workflow transformation.

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Top Driving Factors

The growth of the AI Agent Market can be attributed to the rising need for intelligent automation across business functions. Companies are using AI agents to reduce repetitive work, improve response time, support decision-making, and manage large volumes of digital tasks. Strong demand is being seen in customer service, IT operations, software engineering, marketing automation, and enterprise knowledge management. The shift from manual workflows to AI-supported execution is making agents an important part of digital business operations.

Another major driver is the rapid improvement in large language models, cloud computing, data connectivity, and enterprise software integration. AI agents are becoming more useful because they can connect with business applications, retrieve information, trigger actions, and complete multi-step workflows. Businesses are also facing pressure to improve productivity while controlling labor and operating costs. This is increasing the use of AI agents as digital workers that can support employees rather than only answer basic questions.

Demand Analysis

Demand for AI agents is increasing as organizations seek faster and more flexible ways to manage daily operations. Enterprises are adopting these systems to support customer queries, generate reports, manage tickets, qualify leads, summarize documents, write code, and automate internal processes. Small and medium-sized businesses are also showing interest because AI agents can reduce the need for large support teams and specialized technical staff. This wider adoption is creating strong demand across both large enterprises and growing digital businesses.

The demand outlook is also supported by the rising volume of digital data and customer interactions. Businesses need tools that can work across emails, chat systems, CRM platforms, cloud databases, and internal knowledge sources. AI agents help convert this data into useful actions, which improves speed and operational accuracy. As a result, demand is expected to remain strong across industries that depend on high-volume workflows and real-time decision support.

Increasing Adoption Technologies

The AI Agent Market is being shaped by the adoption of large language models, retrieval systems, workflow automation, multimodal AI, API integration, and autonomous orchestration platforms. These technologies allow AI agents to understand instructions, access business data, use software tools, and complete tasks across multiple systems. Retrieval-augmented generation is helping agents provide more accurate answers by connecting them with company documents and verified knowledge sources. This is improving their usefulness in regulated and knowledge-heavy sectors.

Multi-agent systems are also gaining attention because they allow different agents to work together on complex tasks. For example, one agent can collect data, another can analyze it, and another can prepare a final report or customer response. Cloud platforms are making deployment easier by offering scalable computing power, security layers, and integration support. These technology improvements are helping AI agents move from experimental use cases to practical business adoption.

Key Reasons for Adopting AI Agents

Companies are adopting AI agents because they can improve productivity, reduce process delays, and support employees with faster task completion. AI agents can work continuously, handle large volumes of requests, and provide consistent support across departments. They are also useful for improving customer experience because they can deliver faster answers and route complex issues to human teams. This makes them valuable in industries where speed, accuracy, and service quality are important.

Another key reason for adoption is the ability to improve business decision-making. AI agents can analyze documents, monitor workflows, identify patterns, and prepare insights that help teams act faster. They can also reduce dependence on manual data entry and repetitive administrative work. This allows employees to focus on higher-value activities such as strategy, customer relationships, compliance review, and innovation.

Investment Opportunities

Investment opportunities in the AI Agent Market are expanding across enterprise automation, customer support, software development, cybersecurity, healthcare operations, finance workflows, and sales productivity tools. Companies that provide secure, reliable, and industry-specific AI agents are expected to attract strong demand. There is also opportunity in platforms that offer agent monitoring, governance, testing, compliance, and performance measurement. These areas are becoming important as enterprises seek safe and controlled deployment of AI agents.

Further opportunity is expected in AI agent infrastructure, including orchestration systems, data connectors, memory tools, API management, and enterprise integration platforms. Businesses will need solutions that allow agents to operate safely across internal systems without exposing sensitive data. Strong potential is also visible in vertical AI agents designed for legal, insurance, banking, healthcare, retail, manufacturing, and education use cases. Long-term growth is expected to be supported by the shift toward intelligent digital labor and AI-assisted business execution.

Recent Developments

• June 2026 – Meta Platforms launched an enterprise-focused AI Business Agent for WhatsApp, Messenger, and Instagram. The agent can answer customer questions, qualify leads, book appointments, and support sales. Earlier versions were already used by over 1 million businesses. Meta plans to keep the service free at first and introduce paid subscriptions later.
• June 2026 – Microsoft introduced Project Solara, an agent-first enterprise device platform built to run AI agents instead of traditional apps. The platform is supported by Azure-hosted agent services and includes reference devices for retail, healthcare, and field service use cases. Microsoft partnered with Qualcomm and MediaTek for silicon support.
• January 2026 – ServiceNow expanded its partnership with Anthropic by making Claude the default model for ServiceNow Build Agent. The platform helps users build and deploy agentic workflows through natural language. ServiceNow also deployed Claude to more than 29,000 employees, with early results showing up to 95% reduction in sales preparation time.
• May 2026 – Agentic AI funding showed signs of recovery after a slower 2025. Agent development platforms reached about USD 124 million across 5 funding deals by May 2026. This indicates renewed investor interest in tools used to build, manage, and deploy AI agents.