Agentic AI in Enterprise Operations Market Size, Share, and Trends 2025 to 2034

The global agentic AI in enterprise operations market is advancing enterprise efficiency with proactive, intelligent systems that reduce manual intervention. The market sizing and forecasts are revenue-based (USD Million/Billion), with 2024 as the base year.

Last Updated : September 2025  |  Report Code : 6699  |  Category : ICT  |  Format : PDF / PPT / Excel

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Agentic AI in Enterprise Operations Market 

5.1. COVID-19 Landscape: Agentic AI in Enterprise Operations Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Agentic AI in Enterprise Operations Market, By Component

8.1. Agentic AI in Enterprise Operations Market Revenue and Volume, by Component

8.1.1. Core Platform / Agent Runtime

8.1.1.1. Market Revenue and Volume Forecast

8.1.2. Orchestration & Workflow Engine

8.1.2.1. Market Revenue and Volume Forecast

8.1.3. Decisioning & Planning Module

8.1.3.1. Market Revenue and Volume Forecast

8.1.4. LLM & Reasoning Layer

8.1.4.1. Market Revenue and Volume Forecast

8.1.5. Tool & API Connectors

8.1.5.1. Market Revenue and Volume Forecast

8.1.6. Memory & Context Management

8.1.6.1. Market Revenue and Volume Forecast

8.1.7. Monitoring & Observability Tools

8.1.7.1. Market Revenue and Volume Forecast

8.1.8. Security & Governance Layer

8.1.8.1. Market Revenue and Volume Forecast

8.1.9. Development & Low-code Builder Kits

8.1.9.1. Market Revenue and Volume Forecast

8.1.10. Prebuilt Agent Templates

8.1.10.1 Market Revenue and Volume Forecast

8.1.11. Professional & Integration Services

8.1.11.1. Market Revenue and Volume Forecast

Chapter 9. Global Agentic AI in Enterprise Operations Market, By Deployment Mode

9.1. Agentic AI in Enterprise Operations Market Revenue and Volume, by Deployment Mode

9.1.1. Public Cloud (SaaS)

9.1.1.1. Market Revenue and Volume Forecast

9.1.2. Private Cloud

9.1.2.1. Market Revenue and Volume Forecast

9.1.3. On-Premises

9.1.3.1. Market Revenue and Volume Forecast

9.1.4. Hybrid Deployment

9.1.4.1. Market Revenue and Volume Forecast

9.1.5. Edge Deployment

9.1.5.1. Market Revenue and Volume Forecast

Chapter 10. Global Agentic AI in Enterprise Operations Market, By Functional Use-Case 

10.1. Agentic AI in Enterprise Operations Market Revenue and Volume, by Functional Use-Case

10.1.1. IT Service Management Automation

10.1.1.1. Market Revenue and Volume Forecast

10.1.2. Customer Service & Support Automation

10.1.2.1. Market Revenue and Volume Forecast

10.1.3. Supply Chain Planning & Exception Handling

10.1.3.1. Market Revenue and Volume Forecast

10.1.4. Manufacturing Process Automation

10.1.4.1. Market Revenue and Volume Forecast

10.1.5. Logistics & Transportation Operations

10.1.5.1. Market Revenue and Volume Forecast

10.1.6. Finance & Accounting Automation

10.1.6.1. Market Revenue and Volume Forecast

10.1.7. Procurement Automation

10.1.7.1. Market Revenue and Volume Forecast

10.1.8. HR & Talent Operations

10.1.8.1. Market Revenue and Volume Forecast

10.1.9. Facilities & Maintenance Automation

10.1.9.1. Market Revenue and Volume Forecast

10.1.10. Security Operations Automation

10.1.10.1. Market Revenue and Volume Forecast

10.1.11. DevOps & Site Reliability Automation

10.1.11.1. Market Revenue and Volume Forecast

10.1.12. Legal & Compliance Operations

10.1.12.1. Market Revenue and Volume Forecast

10.1.13. Sales Operations Automation

10.1.13.1. Market Revenue and Volume Forecast

10.1.14. Marketing Operations Automation

10.1.14.1. Market Revenue and Volume Forecast

10.1.15. Quality Control & Testing Operations

10.1.15.1. Market Revenue and Volume Forecast

10.1.16. Customer Success Operations

10.1.16.1. Market Revenue and Volume Forecast

Chapter 11. Global Agentic AI in Enterprise Operations Market, By Autonomy Type

11.1. Agentic AI in Enterprise Operations Market Revenue and Volume, by Autonomy Type

11.1.1. Task-specific Agents

11.1.1.1. Market Revenue and Volume Forecast

11.1.2. Collaborative Multi-agent Systems           

11.1.2.1. Market Revenue and Volume Forecast

11.1.3. Hierarchical Agent Structures

11.1.3.1. Market Revenue and Volume Forecast

11.1.4. Human-supervised Agents

11.1.4.1. Market Revenue and Volume Forecast

11.1.5. Fully Autonomous Closed-loop Agents

11.1.5.1. Market Revenue and Volume Forecast

Chapter 12. Global Agentic AI in Enterprise Operations Market, By Industry Vertical

12.1. Agentic AI in Enterprise Operations Market Revenue and Volume, by Industry Vertical

12.1.1. Banking, Financial Services & Insurance (BFSI)

12.1.1.1. Market Revenue and Volume Forecast

12.1.2. Healthcare & Life Sciences

12.1.2.1. Market Revenue and Volume Forecast

12.1.3. Manufacturing & Industrial

12.1.3.1. Market Revenue and Volume Forecast

12.1.4. Retail & E-commerce

12.1.4.1. Market Revenue and Volume Forecast

12.1.5. Telecommunications

12.1.5.1. Market Revenue and Volume Forecast

12.1.6. Energy & Utilities

12.1.6.1. Market Revenue and Volume Forecast

12.1.7. Transportation & Logistics

12.1.7.1. Market Revenue and Volume Forecast

12.1.8. Public Sector & Government

12.1.8.1. Market Revenue and Volume Forecast

12.1.9. Education

12.1.9.1. Market Revenue and Volume Forecast

12.1.10. Professional Services

12.1.10.1. Market Revenue and Volume Forecast

12.1.11. Hospitality & Leisure

12.1.11.1. Market Revenue and Volume Forecast

12.1.12. Pharmaceuticals & CRO Operations

12.1.12.1. Market Revenue and Volume Forecast

Chapter 13. Global Agentic AI in Enterprise Operations Market, Regional Estimates and Trend Forecast

13.1. North America

13.1.1. Market Revenue and Volume Forecast, by Component

13.1.2. Market Revenue and Volume Forecast, by Deployment Mode

13.1.3. Market Revenue and Volume Forecast, by Functional Use-Case

13.1.4. Market Revenue and Volume Forecast, by Autonomy Type

13.1.5. Market Revenue and Volume Forecast, by Industry Vertical

13.1.6. U.S.

13.1.6.1. Market Revenue and Volume Forecast, by Component

13.1.6.2. Market Revenue and Volume Forecast, by Deployment Mode

13.1.6.3. Market Revenue and Volume Forecast, by Functional Use-Case

13.1.6.4. Market Revenue and Volume Forecast, by Autonomy Type

13.1.6.5. Market Revenue and Volume Forecast, by Industry Vertical  

13.1.7. Rest of North America

13.1.7.1. Market Revenue and Volume Forecast, by Component

13.1.7.2. Market Revenue and Volume Forecast, by Deployment Mode

13.1.7.3. Market Revenue and Volume Forecast, by Functional Use-Case

13.1.7.4. Market Revenue and Volume Forecast, by Autonomy Type

13.1.7.5. Market Revenue and Volume Forecast, by Industry Vertical

13.2. Europe

13.2.1. Market Revenue and Volume Forecast, by Component

13.2.2. Market Revenue and Volume Forecast, by Deployment Mode

13.2.3. Market Revenue and Volume Forecast, by Functional Use-Case

13.2.4. Market Revenue and Volume Forecast, by Autonomy Type  

13.2.5. Market Revenue and Volume Forecast, by Industry Vertical  

13.2.6. UK

13.2.6.1. Market Revenue and Volume Forecast, by Component

13.2.6.2. Market Revenue and Volume Forecast, by Deployment Mode

13.2.6.3. Market Revenue and Volume Forecast, by Functional Use-Case

13.2.7. Market Revenue and Volume Forecast, by Autonomy Type  

13.2.8. Market Revenue and Volume Forecast, by Industry Vertical  

13.2.9. Germany

13.2.9.1. Market Revenue and Volume Forecast, by Component

13.2.9.2. Market Revenue and Volume Forecast, by Deployment Mode

13.2.9.3. Market Revenue and Volume Forecast, by Functional Use-Case

13.2.10. Market Revenue and Volume Forecast, by Autonomy Type

13.2.11. Market Revenue and Volume Forecast, by Industry Vertical

13.2.12. France

13.2.12.1. Market Revenue and Volume Forecast, by Component

13.2.12.2. Market Revenue and Volume Forecast, by Deployment Mode

13.2.12.3. Market Revenue and Volume Forecast, by Functional Use-Case

13.2.12.4. Market Revenue and Volume Forecast, by Autonomy Type

13.2.13. Market Revenue and Volume Forecast, by Industry Vertical

13.2.14. Rest of Europe

13.2.14.1. Market Revenue and Volume Forecast, by Component

13.2.14.2. Market Revenue and Volume Forecast, by Deployment Mode

13.2.14.3. Market Revenue and Volume Forecast, by Functional Use-Case

13.2.14.4. Market Revenue and Volume Forecast, by Autonomy Type

13.2.15. Market Revenue and Volume Forecast, by Industry Vertical

13.3. APAC

13.3.1. Market Revenue and Volume Forecast, by Component

13.3.2. Market Revenue and Volume Forecast, by Deployment Mode

13.3.3. Market Revenue and Volume Forecast, by Functional Use-Case

13.3.4. Market Revenue and Volume Forecast, by Autonomy Type

13.3.5. Market Revenue and Volume Forecast, by Industry Vertical

13.3.6. India

13.3.6.1. Market Revenue and Volume Forecast, by Component

13.3.6.2. Market Revenue and Volume Forecast, by Deployment Mode

13.3.6.3. Market Revenue and Volume Forecast, by Functional Use-Case

13.3.6.4. Market Revenue and Volume Forecast, by Autonomy Type

13.3.7. Market Revenue and Volume Forecast, by Industry Vertical

13.3.8. China

13.3.8.1. Market Revenue and Volume Forecast, by Component

13.3.8.2. Market Revenue and Volume Forecast, by Deployment Mode

13.3.8.3. Market Revenue and Volume Forecast, by Functional Use-Case

13.3.8.4. Market Revenue and Volume Forecast, by Autonomy Type

13.3.9. Market Revenue and Volume Forecast, by Industry Vertical

13.3.10. Japan

13.3.10.1. Market Revenue and Volume Forecast, by Component

13.3.10.2. Market Revenue and Volume Forecast, by Deployment Mode

13.3.10.3. Market Revenue and Volume Forecast, by Functional Use-Case

13.3.10.4. Market Revenue and Volume Forecast, by Autonomy Type

13.3.10.5. Market Revenue and Volume Forecast, by Industry Vertical

13.3.11. Rest of APAC

13.3.11.1. Market Revenue and Volume Forecast, by Component

13.3.11.2. Market Revenue and Volume Forecast, by Deployment Mode

13.3.11.3. Market Revenue and Volume Forecast, by Functional Use-Case

13.3.11.4. Market Revenue and Volume Forecast, by Autonomy Type

13.3.11.5. Market Revenue and Volume Forecast, by Industry Vertical

13.4. MEA

13.4.1. Market Revenue and Volume Forecast, by Component

13.4.2. Market Revenue and Volume Forecast, by Deployment Mode

13.4.3. Market Revenue and Volume Forecast, by Functional Use-Case

13.4.4. Market Revenue and Volume Forecast, by Autonomy Type

13.4.5. Market Revenue and Volume Forecast, by Industry Vertical

13.4.6. GCC

13.4.6.1. Market Revenue and Volume Forecast, by Component

13.4.6.2. Market Revenue and Volume Forecast, by Deployment Mode

13.4.6.3. Market Revenue and Volume Forecast, by Functional Use-Case

13.4.6.4. Market Revenue and Volume Forecast, by Autonomy Type

13.4.7. Market Revenue and Volume Forecast, by Industry Vertical

13.4.8. North Africa

13.4.8.1. Market Revenue and Volume Forecast, by Component

13.4.8.2. Market Revenue and Volume Forecast, by Deployment Mode

13.4.8.3. Market Revenue and Volume Forecast, by Functional Use-Case

13.4.8.4. Market Revenue and Volume Forecast, by Autonomy Type

13.4.9. Market Revenue and Volume Forecast, by Industry Vertical

13.4.10. South Africa

13.4.10.1. Market Revenue and Volume Forecast, by Component

13.4.10.2. Market Revenue and Volume Forecast, by Deployment Mode

13.4.10.3. Market Revenue and Volume Forecast, by Functional Use-Case

13.4.10.4. Market Revenue and Volume Forecast, by Autonomy Type

13.4.10.5. Market Revenue and Volume Forecast, by Industry Vertical

13.4.11. Rest of MEA

13.4.11.1. Market Revenue and Volume Forecast, by Component

13.4.11.2. Market Revenue and Volume Forecast, by Deployment Mode

13.4.11.3. Market Revenue and Volume Forecast, by Functional Use-Case

13.4.11.4. Market Revenue and Volume Forecast, by Autonomy Type

13.4.11.5. Market Revenue and Volume Forecast, by Industry Vertical

13.5. Latin America

13.5.1. Market Revenue and Volume Forecast, by Component

13.5.2. Market Revenue and Volume Forecast, by Deployment Mode

13.5.3. Market Revenue and Volume Forecast, by Functional Use-Case

13.5.4. Market Revenue and Volume Forecast, by Autonomy Type

13.5.5. Market Revenue and Volume Forecast, by Industry Vertical

13.5.6. Brazil

13.5.6.1. Market Revenue and Volume Forecast, by Component

13.5.6.2. Market Revenue and Volume Forecast, by Deployment Mode

13.5.6.3. Market Revenue and Volume Forecast, by Functional Use-Case

13.5.6.4. Market Revenue and Volume Forecast, by Autonomy Type

13.5.7. Market Revenue and Volume Forecast, by Industry Vertical

13.5.8. Rest of LATAM

13.5.8.1. Market Revenue and Volume Forecast, by Component

13.5.8.2. Market Revenue and Volume Forecast, by Deployment Mode

13.5.8.3. Market Revenue and Volume Forecast, by Functional Use-Case

13.5.8.4. Market Revenue and Volume Forecast, by Autonomy Type

13.5.8.5. Market Revenue and Volume Forecast, by Industry Vertical

Chapter 14. Company Profiles

14.1. IBM

14.1.1. Company Overview

14.1.2. Product Offerings

14.1.3. Financial Performance

14.1.4. Recent Initiatives

14.2. Oracle

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. ServiceNow

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. Salesforce

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. Dataiku

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

14.6. DataRobot

14.6.1. Company Overview

14.6.2. Product Offerings

14.6.3. Financial Performance

14.6.4. Recent Initiatives

14.7. Aisera

14.7.1. Company Overview

14.7.2. Product Offerings

14.7.3. Financial Performance

14.7.4. Recent Initiatives

14.8. Moveworks

14.8.1. Company Overview

14.8.2. Product Offerings

14.8.3. Financial Performance

14.8.4. Recent Initiatives

14.9. Beam AI

14.9.1. Company Overview

14.9.2. Product Offerings

14.9.3. Financial Performance

14.9.4. Recent Initiatives

14.10. OpsVeda

14.10.1. Company Overview

14.10.2. Product Offerings

14.10.3. Financial Performance

14.10.4. Recent Initiatives

Chapter 15. Research Methodology

15.1. Primary Research

15.2. Secondary Research

15.3. Assumptions

Chapter 16. Appendix

16.1. About Us

16.2. Glossary of Terms

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Frequently Asked Questions

The major players in the agentic AI in enterprise operations market include Microsoft, Google Cloud, Amazon Web Services (AWS), OpenAI, IBM, Oracle, NVIDIA, UiPath, ServiceNow, Salesforce, Snowflake, Databricks, Dataiku, DataRobot, Hugging Face, Aisera, Moveworks, Olive, Beam AI, OpsVeda

The driving factors of the agentic AI in enterprise operations market are rapid digital transformation, increasing demand for autonomous decision-making for business activities, and increasing integration of AI with enterprise software.

North America region will lead the global agentic AI in enterprise operations market during the forecast period 2025 to 2034.

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