Generative AI in Fulfillment and Logistics Market Size, Share, and Trends 2026 to 2035

Generative AI in Fulfillment and Logistics Market (By Component: Software, Services; By Deployment Mode: Cloud, On Premises, Hybrid; By Function: Warehousing, Transportation Management, Inventory Management, Procurement and Supplier Collaboration; By Application: Demand Forecasting and Replenishment, Route and Load Optimization, Customer Communication and Order Status Automation; By End Use Industry: Ecommerce and Retail, Third Party Logistics and Fourth Party Logistics, Manufacturing, Consumer Electronics, Others;) - Global Industry Analysis, Size, Trends, Leading Companies, Regional Outlook, and Forecast 2026 to 2035

Last Updated : 27 Mar 2026  |  Report Code : 8236  |  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 Generative AI in Fulfillment and Logistics Market 

5.1. COVID-19 Landscape: Generative AI in Fulfillment and Logistics 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 Generative AI in Fulfillment and Logistics Market, By Component

8.1. Generative AI in Fulfillment and Logistics Market, by Component

8.1.1. Software

8.1.1.1. Market Revenue and Forecast

8.1.2. Services

8.1.2.1. Market Revenue and Forecast

Chapter 9. Global Generative AI in Fulfillment and Logistics Market, By Deployment Mode

9.1. Generative AI in Fulfillment and Logistics Market, by Deployment Mode

9.1.1. Cloud

9.1.1.1. Market Revenue and Forecast

9.1.2. On Premises

9.1.2.1. Market Revenue and Forecast

9.1.3. Hybrid

9.1.3.1. Market Revenue and Forecast

Chapter 10. Global Generative AI in Fulfillment and Logistics Market, By Function

10.1. Generative AI in Fulfillment and Logistics Market, by Function

10.1.1. Warehousing

10.1.1.1. Market Revenue and Forecast

10.1.2. Transportation Management

10.1.2.1. Market Revenue and Forecast

10.1.3. Inventory Management

10.1.3.1. Market Revenue and Forecast

10.1.4. Order Management

10.1.4.1. Market Revenue and Forecast

10.1.5. Fulfillment Orchestration

10.1.5.1. Market Revenue and Forecast

10.1.6. Customer Service and Exception Management

10.1.6.1. Market Revenue and Forecast

10.1.7. Procurement and Supplier Collaboration

10.1.7.1. Market Revenue and Forecast

Chapter 11. Global Generative AI in Fulfillment and Logistics Market, By Application

11.1. Generative AI in Fulfillment and Logistics Market, by Application

11.1.1. Demand Forecasting and Replenishment

11.1.1.1. Market Revenue and Forecast

11.1.2. Route and Load Optimization

11.1.2.1. Market Revenue and Forecast

11.1.3. Warehouse Slotting, Picking, and Labor Optimization

11.1.3.1. Market Revenue and Forecast

11.1.4. Document Automation and Customs Workflow

11.1.4.1. Market Revenue and Forecast

11.1.5. Returns and Reverse Logistics

11.1.5.1. Market Revenue and Forecast

11.1.6. Control Tower and Scenario Simulation

11.1.6.1. Market Revenue and Forecast

11.1.7. Customer Communication and Order Status Automation

11.1.7.1. Market Revenue and Forecast  

Chapter 12. Global Generative AI in Fulfillment and Logistics Market, By End Use Industry

12.1. Generative AI in Fulfillment and Logistics Market, by End Use Industry

12.1.1. Ecommerce and Retail

12.1.1.1. Market Revenue and Forecast

12.1.2. Third Party Logistics and Fourth Party Logistics

12.1.2.1. Market Revenue and Forecast

12.1.3. Manufacturing

12.1.3.1. Market Revenue and Forecast

12.1.4. Food and Beverages

12.1.4.1. Market Revenue and Forecast

12.1.5. Healthcare and Pharmaceuticals

12.1.5.1. Market Revenue and Forecast

12.1.6. Automotive

12.1.6.1. Market Revenue and Forecast

12.1.7. Consumer Electronics

12.1.7.1. Market Revenue and Forecast

12.1.8. Others

12.1.8.1. Market Revenue and Forecast

Chapter 13. Global Generative AI in Fulfillment and Logistics Market, Regional Estimates and Trend Forecast

13.1. North America

13.1.1. Market Revenue and Forecast, by Component

13.1.2. Market Revenue and Forecast, by Deployment Mode

13.1.3. Market Revenue and Forecast, by Function

13.1.4. Market Revenue and Forecast, by Application

13.1.5. Market Revenue and Forecast, by End Use Industry

13.1.6. U.S.

13.1.6.1. Market Revenue and Forecast, by Component

13.1.6.2. Market Revenue and Forecast, by Deployment Mode

13.1.6.3. Market Revenue and Forecast, by Function

13.1.6.4. Market Revenue and Forecast, by Application

13.1.6.5. Market Revenue and Forecast, by End Use Industry  

13.1.7. Rest of North America

13.1.7.1. Market Revenue and Forecast, by Component

13.1.7.2. Market Revenue and Forecast, by Deployment Mode

13.1.7.3. Market Revenue and Forecast, by Function

13.1.7.4. Market Revenue and Forecast, by Application

13.1.7.5. Market Revenue and Forecast, by End Use Industry

13.2. Europe

13.2.1. Market Revenue and Forecast, by Component

13.2.2. Market Revenue and Forecast, by Deployment Mode

13.2.3. Market Revenue and Forecast, by Function

13.2.4. Market Revenue and Forecast, by Application  

13.2.5. Market Revenue and Forecast, by End Use Industry  

13.2.6. UK

13.2.6.1. Market Revenue and Forecast, by Component

13.2.6.2. Market Revenue and Forecast, by Deployment Mode

13.2.6.3. Market Revenue and Forecast, by Function

13.2.7. Market Revenue and Forecast, by Application  

13.2.8. Market Revenue and Forecast, by End Use Industry  

13.2.9. Germany

13.2.9.1. Market Revenue and Forecast, by Component

13.2.9.2. Market Revenue and Forecast, by Deployment Mode

13.2.9.3. Market Revenue and Forecast, by Function

13.2.10. Market Revenue and Forecast, by Application

13.2.11. Market Revenue and Forecast, by End Use Industry

13.2.12. France

13.2.12.1. Market Revenue and Forecast, by Component

13.2.12.2. Market Revenue and Forecast, by Deployment Mode

13.2.12.3. Market Revenue and Forecast, by Function

13.2.12.4. Market Revenue and Forecast, by Application

13.2.13. Market Revenue and Forecast, by End Use Industry

13.2.14. Rest of Europe

13.2.14.1. Market Revenue and Forecast, by Component

13.2.14.2. Market Revenue and Forecast, by Deployment Mode

13.2.14.3. Market Revenue and Forecast, by Function

13.2.14.4. Market Revenue and Forecast, by Application

13.2.15. Market Revenue and Forecast, by End Use Industry

13.3. APAC

13.3.1. Market Revenue and Forecast, by Component

13.3.2. Market Revenue and Forecast, by Deployment Mode

13.3.3. Market Revenue and Forecast, by Function

13.3.4. Market Revenue and Forecast, by Application

13.3.5. Market Revenue and Forecast, by End Use Industry

13.3.6. India

13.3.6.1. Market Revenue and Forecast, by Component

13.3.6.2. Market Revenue and Forecast, by Deployment Mode

13.3.6.3. Market Revenue and Forecast, by Function

13.3.6.4. Market Revenue and Forecast, by Application

13.3.7. Market Revenue and Forecast, by End Use Industry

13.3.8. China

13.3.8.1. Market Revenue and Forecast, by Component

13.3.8.2. Market Revenue and Forecast, by Deployment Mode

13.3.8.3. Market Revenue and Forecast, by Function

13.3.8.4. Market Revenue and Forecast, by Application

13.3.9. Market Revenue and Forecast, by End Use Industry

13.3.10. Japan

13.3.10.1. Market Revenue and Forecast, by Component

13.3.10.2. Market Revenue and Forecast, by Deployment Mode

13.3.10.3. Market Revenue and Forecast, by Function

13.3.10.4. Market Revenue and Forecast, by Application

13.3.10.5. Market Revenue and Forecast, by End Use Industry

13.3.11. Rest of APAC

13.3.11.1. Market Revenue and Forecast, by Component

13.3.11.2. Market Revenue and Forecast, by Deployment Mode

13.3.11.3. Market Revenue and Forecast, by Function

13.3.11.4. Market Revenue and Forecast, by Application

13.3.11.5. Market Revenue and Forecast, by End Use Industry

13.4. MEA

13.4.1. Market Revenue and Forecast, by Component

13.4.2. Market Revenue and Forecast, by Deployment Mode

13.4.3. Market Revenue and Forecast, by Function

13.4.4. Market Revenue and Forecast, by Application

13.4.5. Market Revenue and Forecast, by End Use Industry

13.4.6. GCC

13.4.6.1. Market Revenue and Forecast, by Component

13.4.6.2. Market Revenue and Forecast, by Deployment Mode

13.4.6.3. Market Revenue and Forecast, by Function

13.4.6.4. Market Revenue and Forecast, by Application

13.4.7. Market Revenue and Forecast, by End Use Industry

13.4.8. North Africa

13.4.8.1. Market Revenue and Forecast, by Component

13.4.8.2. Market Revenue and Forecast, by Deployment Mode

13.4.8.3. Market Revenue and Forecast, by Function

13.4.8.4. Market Revenue and Forecast, by Application

13.4.9. Market Revenue and Forecast, by End Use Industry

13.4.10. South Africa

13.4.10.1. Market Revenue and Forecast, by Component

13.4.10.2. Market Revenue and Forecast, by Deployment Mode

13.4.10.3. Market Revenue and Forecast, by Function

13.4.10.4. Market Revenue and Forecast, by Application

13.4.10.5. Market Revenue and Forecast, by End Use Industry

13.4.11. Rest of MEA

13.4.11.1. Market Revenue and Forecast, by Component

13.4.11.2. Market Revenue and Forecast, by Deployment Mode

13.4.11.3. Market Revenue and Forecast, by Function

13.4.11.4. Market Revenue and Forecast, by Application

13.4.11.5. Market Revenue and Forecast, by End Use Industry

13.5. Latin America

13.5.1. Market Revenue and Forecast, by Component

13.5.2. Market Revenue and Forecast, by Deployment Mode

13.5.3. Market Revenue and Forecast, by Function

13.5.4. Market Revenue and Forecast, by Application

13.5.5. Market Revenue and Forecast, by End Use Industry

13.5.6. Brazil

13.5.6.1. Market Revenue and Forecast, by Component

13.5.6.2. Market Revenue and Forecast, by Deployment Mode

13.5.6.3. Market Revenue and Forecast, by Function

13.5.6.4. Market Revenue and Forecast, by Application

13.5.7. Market Revenue and Forecast, by End Use Industry

13.5.8. Rest of LATAM

13.5.8.1. Market Revenue and Forecast, by Component

13.5.8.2. Market Revenue and Forecast, by Deployment Mode

13.5.8.3. Market Revenue and Forecast, by Function

13.5.8.4. Market Revenue and Forecast, by Application

13.5.8.5. Market Revenue and Forecast, by End Use Industry

Chapter 14. Company Profiles

14.1. Microsoft Corporation

14.1.1. Company Overview

14.1.2. Product Offerings

14.1.3. Financial Performance

14.1.4. Recent Initiatives

14.2. Amazon Web Services, Inc.

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. Google Cloud

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. SAP SE

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. Oracle Corporation

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

14.6. International Business Machines Corporation

14.6.1. Company Overview

14.6.2. Product Offerings

14.6.3. Financial Performance

14.6.4. Recent Initiatives

14.7. NVIDIA Corporation

14.7.1. Company Overview

14.7.2. Product Offerings

14.7.3. Financial Performance

14.7.4. Recent Initiatives

14.8. Manhattan Associates, Inc.

14.8.1. Company Overview

14.8.2. Product Offerings

14.8.3. Financial Performance

14.8.4. Recent Initiatives

14.9. Blue Yonder Group, Inc.

14.9.1. Company Overview

14.9.2. Product Offerings

14.9.3. Financial Performance

14.9.4. Recent Initiatives

14.10. Kinaxis Inc.

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

Answer : The generative AI in fulfillment and logistics market size is expected to increase from USD 1.24 billion in 2025 to USD 17.23 billion by 2035.

Answer : The generative AI in fulfillment and logistics market is expected to grow at a compound annual growth rate (CAGR) of around 30.10% from 2026 to 2035.

Answer : The major players in the generative AI in fulfillment and logistics market include Microsoft Corporation, Amazon Web Services, Inc., Google Cloud, SAP SE, Oracle Corporation, International Business Machines Corporation, NVIDIA Corporation, Manhattan Associates, Inc., Blue Yonder Group, Inc., Kinaxis Inc., o9 Solutions, Inc., project44, FourKites, Inc., The Descartes Systems Group Inc., Infor, Inc.

Answer : The driving factors of the generative AI in fulfillment and logistics market are the

Answer : North America region will lead the global generative AI in fulfillment and logistics market during the forecast period 2026 to 2035.

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