Agentic AI Market to Reach USD 373.3 billion by 2035

Introduction

The Agentic AI Market includes AI systems that can plan tasks, use tools, make decisions, and complete multi-step workflows with limited human input. These systems are different from simple chatbots because they can take action across software, data systems, business applications, and digital workflows. The growth of the Agentic AI Market is supported by the wider use of AI across business functions. As more companies adopt AI, the next stage is shifting from content generation to task completion.

According to Globe Market Research, North America held the leading position in the Agentic AI market in 2025, accounting for 47.9% of the global share. The region’s dominance is supported by early AI adoption, strong cloud infrastructure, high enterprise technology spending, and the presence of major AI solution providers. The U.S. Agentic AI market was valued at USD 3.1 billion in 2025 and is expected to grow at a CAGR of 45.1% , driven by increasing demand for AI agents that can automate complex tasks, improve productivity, and support faster business decisions.

According to Cyntexa, enterprise interest in agentic AI is increasing at a strong pace. Around 82% of organizations expect to increase their AI investment next year, while 43% are considering the adoption of agentic AI in 2026. The shift is also being supported by deeper AI integration across business software. By the end of 2026, 40% of enterprise applications are expected to include embedded task-specific AI agents, compared with less than 5% in 2024.

Top Market Takeaways

• Solutions led the agentic AI market with a 64.5% share. This growth was supported by rising demand for ready-to-use AI platforms, automation tools, and systems that help businesses make faster decisions.

• Cloud deployment accounted for 61.7% of the market. Enterprises are choosing cloud-based agentic AI because it is easier to scale, quicker to deploy, and reduces the need for heavy in-house infrastructure.

• Large enterprises held a 67.3% share in the market. Their strong budgets, advanced digital systems, and wider business use cases have made them early adopters of agentic AI solutions.

• BFSI represented 32.3% of the agentic AI market. Banks, financial institutions, and insurers are using agentic AI for fraud detection, customer support, risk assessment, compliance, and workflow automation.

• Multi-agent systems captured a 55.30% share. Their adoption is increasing because they can handle complex tasks by allowing several AI agents to work together in a coordinated way.

• Autonomous process automation held a 24.5% share. The segment is growing as enterprises focus on reducing manual work, improving process speed, and increasing operational efficiency.

• North America accounted for 47.9% of the agentic AI market. The region’s strong AI investment, advanced cloud infrastructure, and early adoption by enterprises supported its leading position.

• The U.S. agentic AI market was valued at USD 3.1 billion in 2025. It is expected to grow at a CAGR of 45.1% , supported by fast enterprise adoption, strong technology spending, and wider use of AI-driven automation.

Agentic AI Statistics

• 88% of executives plan to increase AI budgets as agentic AI initiatives become a stronger business priority.

• 79% of companies say AI agents are already being adopted across their organizations.

• 73% of APAC employees believe AI agents will play an important role in business operations over the next three to five years.

• 66% of companies using AI agents have reported clear productivity improvements.

• 15% of daily business decisions could soon be handled autonomously by AI agents.

• Salesforce manages around 32,000 customer conversations each week through AI-led systems, with an 83% resolution rate.

• Nearly two-thirds of employers plan to hire professionals with specific AI skills as adoption expands.

AI Agent Adoption by Industry, 2026

• Financial services leads AI agent adoption at 22% in 2026, supported by strong use cases in fraud detection, risk analysis, compliance checks, customer support, and automated workflow handling.

• Retail and e-commerce recorded 20% adoption, driven by rising use of AI agents in customer service, product recommendations, inventory planning, and personalized marketing.

• Healthcare adoption reached 19%, supported by use cases in clinical documentation, patient engagement, billing automation, diagnostics support, and care coordination.

• Manufacturing adoption stood at 18%, mainly supported by predictive maintenance, quality monitoring, production planning, and supply chain visibility.

• Supply chain and logistics recorded 16% adoption, as companies are using AI agents for route planning, demand forecasting, shipment tracking, and warehouse process automation.

• The earlier chart values appear overstated for direct adoption. Figures such as 70% or 90% are more likely to reflect expected impact, pilot activity, or AI readiness rather than verified full adoption.

• Enterprise software adoption is expected to rise faster than direct company adoption. Gartner predicts that up to 40% of enterprise applications may include task-specific AI agents by 2026, up from less than 5% in 2025.

• Adoption remains early but growth potential is strong. Gartner also warned that over 40% of agentic AI projects may be cancelled by the end of 2027 due to high cost, unclear business value, and weak risk controls.

Segment Highlights

By Component: Solutions

Solutions captured 64.5% share in the agentic AI market, supported by rising demand for ready-to-use AI platforms, automation tools, and decision-support systems. Enterprises are increasingly adopting solution-based offerings because they reduce development time and help teams apply agentic AI across practical business workflows.

The growth of this segment is also supported by the need for systems that can plan, analyse, and complete tasks with limited human intervention. Solutions are being used across customer service, IT operations, finance, sales, and knowledge management, where faster decision-making and workflow efficiency are becoming important business priorities.

By Deployment Mode: Cloud

Cloud deployment maintained 61.7% share, driven by easier scalability, faster implementation, and lower infrastructure burden for enterprises. Cloud-based agentic AI platforms allow businesses to test, deploy, and expand AI agents without making heavy upfront investments in internal systems.

The segment is also gaining traction because cloud environments support faster updates, API integrations, and real-time access to enterprise applications. This makes cloud deployment suitable for companies that need flexible AI systems across multiple teams, locations, and business functions.

By Organization Size: Large Enterprises

Large enterprises held 67.3% share, as they have higher budgets, stronger digital infrastructure, and wider use cases for agentic AI adoption. These organizations often manage complex operations, large datasets, and multi-step workflows that can benefit from AI-driven automation.

The adoption of agentic AI in large enterprises is also supported by the need to improve productivity and reduce manual work across departments. Use cases are expanding in customer support, finance operations, compliance, supply chain, IT service management, and internal knowledge systems.

By End-User Industry: BFSI

BFSI accounted for 32.3% share, supported by the growing use of agentic AI in fraud detection, customer service, risk analysis, and workflow automation. Banks, insurers, and financial service providers handle large transaction volumes and require faster support for decision-making, monitoring, and documentation.

The segment is expected to remain important because financial institutions need automation that is accurate, secure, and traceable. Agentic AI can support employees by reviewing documents, detecting unusual patterns, handling routine queries, and escalating complex cases for human review.

By Agent Architecture: Multi-Agent Systems

Multi-agent systems represented 55.30% share, driven by their ability to manage complex tasks through coordinated AI agents. This architecture allows different agents to work on planning, data retrieval, validation, execution, and reporting within a single workflow.

The demand for multi-agent systems is increasing because enterprise tasks often require coordination across several tools and departments. By assigning specific roles to different agents, businesses can improve task accuracy, reduce delays, and handle more advanced automation use cases.

By Application: Autonomous Process Automation

Autonomous process automation captured 24.5% share, supported by increasing enterprise focus on reducing manual workflows and improving operational speed. This application helps businesses automate repetitive and multi-step processes that require planning, system interaction, and follow-up actions.

The segment is gaining importance in finance, IT, procurement, customer support, human resources, and back-office operations. Agentic AI can help create tickets, update records, prepare summaries, check rules, and route exceptions to the right team, which improves process efficiency.

By Regional Analysis

North America held 47.9% share in the agentic AI market, supported by strong AI investment, advanced cloud infrastructure, and early enterprise adoption. The region benefits from mature digital ecosystems, high enterprise technology spending, and strong demand for automation across major industries.

The U.S. agentic AI market was valued at USD 3.1 billion in 2025 and is projected to grow at a CAGR of 45.1% . Growth in the country is supported by rising use of agentic AI across banking, healthcare, retail, telecom, manufacturing, and professional services, where businesses are focusing on productivity and faster decision-making.

Key Market Segments

Component

• Solution

• Services

Deployment Mode

• On-Premises

• Cloud

• Hybrid

Organization Size

• Small and Medium Enterprises

• Large Enterprises

End-User Industry

• Healthcare

• BFSI

• IT and Telecom

• Manufacturing

• Government and Public Sector

• Automotive

• Retail and E-commerce

• Other End-user Industries

Agent Architecture

• Single-Agent Systems

• Multi-Agent Systems

Application

• Autonomous Process Automation

• Predictive Analytics and Decision Support

• Intelligent Virtual Assistants

• RPA Integration

• Smart Manufacturing and IIoT

• Other Applications

Key Regions and Countries

North America

• US

• Canada

Europe

• Germany

• France

• The UK

• Spain

• Italy

• Rest of Europe

Asia Pacific

• China

• Japan

• South Korea

• India

• Australia

• Rest of APAC

Latin America

• Brazil

• Mexico

• Rest of Latin America

Middle East & Africa

• South Africa

• Saudi Arabia

• UAE

• Rest of MEA

List of Key Companies

• OpenAI

• Anthropic

• Amazon AWS (Bedrock / CodeWhisperer)

• Meta AI

• IBM Research (Watsonx Agents)

• NVIDIA

• More

Notable Industry Development

• March 2026 – OpenAI raised USD 122 billion in committed capital at a post-money valuation of USD 852 billion to scale advanced AI systems and infrastructure. This is expected to support stronger agentic AI development.

• December 2025 – SoftBank completed its USD 40 billion investment commitment in OpenAI. The investment supports large-scale AI infrastructure and next-generation AI model development.

• December 2025 – ServiceNow completed its acquisition of Moveworks to strengthen enterprise agentic AI, AI assistants, enterprise search, and workflow automation. The deal was earlier valued at USD 2.85 billion.

• November 2025 – Salesforce completed its acquisition of Informatica. The deal was valued at around USD 8 billion and was aimed at improving trusted data for Agentforce and enterprise AI agents.

Report Scope