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Enterprise Agentic AI Market Size, Share & Trends Analysis Report By Technology (Machine Learning, Deep Learning), By Agent System (Single Agent Systems, Multi Agent Systems), By Type, By Application, By Region, and Segment Forecasts, 2025 - 2030
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Enterprise Agentic AI Market Size & Trends:

The global enterprise agentic AI market size was estimated at USD 2.59 billion in 2024 and is expected to grow at a CAGR of 46.2% from 2025 to 2030. The market is driven by several factors, including the increasing complexity of business environments and the essential need for rapid decision-making. Businesses are recognizing the potential of agentic AI to streamline operations and reduce reliance on human intervention. This has led to increased investments in agentic AI technologies as enterprises seek to gain a competitive edge, swiftly adapt to market changes, and improve overall productivity.

The demand for automation and efficiency is a primary driver for adopting agentic AI. These systems are capable of automating complex tasks that previously demanded significant human effort, which accelerates operations and improves accuracy, helping enterprises reduce costs. For instance, IBM Watsonx.ai serves as an enterprise-grade studio designed for the development and deployment of AI services within various applications. It provides a comprehensive collection of APIs, tools, models, and runtimes necessary to transform ideas and requirements into practical solutions.

In addition, the exponential growth of big data also fuels the adoption of agentic AI, which uses advanced algorithms to analyze large datasets and provide insights for faster, more informed decision-making, giving businesses a competitive advantage. The rise of AI as a service is further democratizing access to agentic AI technologies, enabling companies of all sizes to implement AI solutions without high initial infrastructure investments.

Furthermore, AI's ability to enhance productivity and efficiency across various sectors is significant. In finance, agentic AI can handle rapid trading and fraud detection by analyzing massive amounts of data in real time to facilitate quick decisions. Similarly, in healthcare, AI can assist doctors and specialists in diagnosing and recommending treatments for complex cases. Moreover, the integration of multiple automation systems to create end-to-end workflows powered by intelligent AI agents is expected to drive market growth.

Global Enterprise Agentic AI Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2017 to 2030. For this study, Grand View Research has segmented the global enterprise agentic AI market report based on the technology, agent system, type, application, and region:

Table of Contents

Chapter 1. Methodology and Scope

Chapter 2. Executive Summary

Chapter 3. Enterprise Agentic AI Market Variables, Trends, & Scope

Chapter 4. Enterprise Agentic AI Market: Technology Estimates & Trend Analysis

Chapter 5. Enterprise Agentic AI Market: Agent System Estimates & Trend Analysis

Chapter 6. Enterprise Agentic AI Market: Type Estimates & Trend Analysis

Chapter 7. Enterprise Agentic AI Market: Application Estimates & Trend Analysis

Chapter 8. Enterprise Agentic AI Market: Regional Estimates & Trend Analysis

Chapter 9. Competitive Landscape

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