AI in Supply Chain Market Size, Share, and Trends 2024 to 2034

The global AI in supply chain market size is calculated at USD 9.94 billion in 2025 and is forecasted to reach around USD 192.51 billion by 2034, accelerating at a CAGR of 39.00% from 2025 to 2034. The North America market size surpassed USD 2.72 billion in 2024 and is expanding at a CAGR of 39.16% during the forecast period. The market sizing and forecasts are revenue-based (USD Million/Billion), with 2024 as the base year.

  • Last Updated : April 2025
  • Report Code : 5869
  • Category : ICT

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 AI in Supply Chain Market 

5.1. COVID-19 Landscape: AI in Supply Chain 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 AI in Supply Chain Market, By Offering

8.1. AI in Supply Chain Market, by Offering

8.1.1. Hardware

8.1.1.1. Market Revenue and Forecast

8.1.2. Services

8.1.2.1. Market Revenue and Forecast

8.1.3. Software

8.1.3.1. Market Revenue and Forecast

Chapter 9. Global AI in Supply Chain Market, By Technology

9.1. AI in Supply Chain Market, by Technology

9.1.1. Computer Vision

9.1.1.1. Market Revenue and Forecast

9.1.2. Context-Aware Computing

9.1.2.1. Market Revenue and Forecast

9.1.3. Machine Learning

9.1.3.1. Market Revenue and Forecast

9.1.4. Natural Language Processing

9.1.4.1. Market Revenue and Forecast

9.1.5. Others

9.1.5.1. Market Revenue and Forecast

Chapter 10. Global AI in Supply Chain Market, By Application 

10.1. AI in Supply Chain Market, by Application

10.1.1. Fleet Management

10.1.1.1. Market Revenue and Forecast

10.1.2. Inventory Management

10.1.2.1. Market Revenue and Forecast

10.1.3. Planning & Logistics

10.1.3.1. Market Revenue and Forecast

10.1.4. Risk Management

10.1.4.1. Market Revenue and Forecast

10.1.5. Supply Chain Planning

10.1.5.1. Market Revenue and Forecast

10.1.5. Virtual Assistant

10.1.5.1. Market Revenue and Forecast

10.1.5. Warehouse Management

10.1.5.1. Market Revenue and Forecast

Chapter 11. Global AI in Supply Chain Market, By End-Use 

11.1. AI in Supply Chain Market, by End-Use

11.1.1. Aerospace

11.1.1.1. Market Revenue and Forecast

11.1.2. Automotive

11.1.2.1. Market Revenue and Forecast

11.1.3. Consumer-Packaged Goods

11.1.3.1. Market Revenue and Forecast

11.1.4. Food & Beverages

11.1.4.1. Market Revenue and Forecast

11.1.5. Healthcare

11.1.5.1. Market Revenue and Forecast

11.1.6. Manufacturing

11.1.6.1. Market Revenue and Forecast

11.1.7. Retail

11.1.7.1. Market Revenue and Forecast

11.1.8. Others

11.1.8.1. Market Revenue and Forecast

Chapter 12. Global AI in Supply Chain Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Offering

12.1.2. Market Revenue and Forecast, by Technology

12.1.3. Market Revenue and Forecast, by Application

12.1.4. Market Revenue and Forecast, by End-Use

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Offering

12.1.5.2. Market Revenue and Forecast, by Technology

12.1.5.3. Market Revenue and Forecast, by Application

12.1.5.4. Market Revenue and Forecast, by End-Use

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Offering

12.1.6.2. Market Revenue and Forecast, by Technology

12.1.6.3. Market Revenue and Forecast, by Application

12.1.6.4. Market Revenue and Forecast, by End-Use

12.2. Europe

12.2.1. Market Revenue and Forecast, by Offering

12.2.2. Market Revenue and Forecast, by Technology

12.2.3. Market Revenue and Forecast, by Application

12.2.4. Market Revenue and Forecast, by End-Use

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Offering

12.2.5.2. Market Revenue and Forecast, by Technology

12.2.5.3. Market Revenue and Forecast, by Application

12.2.5.4. Market Revenue and Forecast, by End-Use

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Offering

12.2.6.2. Market Revenue and Forecast, by Technology

12.2.6.3. Market Revenue and Forecast, by Application

12.2.6.4. Market Revenue and Forecast, by End-Use

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Offering

12.2.7.2. Market Revenue and Forecast, by Technology

12.2.7.3. Market Revenue and Forecast, by Application

12.2.7.4. Market Revenue and Forecast, by End-Use

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Offering

12.2.8.2. Market Revenue and Forecast, by Technology

12.2.8.3. Market Revenue and Forecast, by Application

12.2.8.4. Market Revenue and Forecast, by End-Use

12.3. APAC

12.3.1. Market Revenue and Forecast, by Offering

12.3.2. Market Revenue and Forecast, by Technology

12.3.3. Market Revenue and Forecast, by Application

12.3.4. Market Revenue and Forecast, by End-Use

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Offering

12.3.5.2. Market Revenue and Forecast, by Technology

12.3.5.3. Market Revenue and Forecast, by Application

12.3.5.4. Market Revenue and Forecast, by End-Use

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Offering

12.3.6.2. Market Revenue and Forecast, by Technology

12.3.6.3. Market Revenue and Forecast, by Application

12.3.6.4. Market Revenue and Forecast, by End-Use

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Offering

12.3.7.2. Market Revenue and Forecast, by Technology

12.3.7.3. Market Revenue and Forecast, by Application

12.3.7.4. Market Revenue and Forecast, by End-Use

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Offering

12.3.8.2. Market Revenue and Forecast, by Technology

12.3.8.3. Market Revenue and Forecast, by Application

12.3.8.4. Market Revenue and Forecast, by End-Use

12.4. MEA

12.4.1. Market Revenue and Forecast, by Offering

12.4.2. Market Revenue and Forecast, by Technology

12.4.3. Market Revenue and Forecast, by Application

12.4.4. Market Revenue and Forecast, by End-Use

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Offering

12.4.5.2. Market Revenue and Forecast, by Technology

12.4.5.3. Market Revenue and Forecast, by Application

12.4.5.4. Market Revenue and Forecast, by End-Use

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Offering

12.4.6.2. Market Revenue and Forecast, by Technology

12.4.6.3. Market Revenue and Forecast, by Application

12.4.6.4. Market Revenue and Forecast, by End-Use

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Offering

12.4.7.2. Market Revenue and Forecast, by Technology

12.4.7.3. Market Revenue and Forecast, by Application

12.4.7.4. Market Revenue and Forecast, by End-Use

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Offering

12.4.8.2. Market Revenue and Forecast, by Technology

12.4.8.3. Market Revenue and Forecast, by Application

12.4.8.4. Market Revenue and Forecast, by End-Use

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Offering

12.5.2. Market Revenue and Forecast, by Technology

12.5.3. Market Revenue and Forecast, by Application

12.5.4. Market Revenue and Forecast, by End-Use

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Offering

12.5.5.2. Market Revenue and Forecast, by Technology

12.5.5.3. Market Revenue and Forecast, by Application

12.5.5.4. Market Revenue and Forecast, by End-Use

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Offering

12.5.6.2. Market Revenue and Forecast, by Technology

12.5.6.3. Market Revenue and Forecast, by Application

12.5.6.4. Market Revenue and Forecast, by End-Use

Chapter 13. Company Profiles

13.1. SAP SE

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Samsung

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. Oracle Corporation

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. NVIDIA Corporation

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. Microsoft Corporation

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. International Business Machines Corporation

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. Intel Corporation

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. FedEx

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Deutsche Post DHL Group

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. Amazon.com, Inc.

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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Frequently Asked Questions

The global AI in supply chain market size is expected to grow from USD 7.15 billion in 2024 to USD 192.51 billion by 2034.

The AI in supply chain market is anticipated to grow at a CAGR of 39.00% between 2025 and 2034.

The major players operating in the AI in supply chain market are SAP SE, Samsung, Oracle Corporation, NVIDIA Corporation, Microsoft Corporation, International Business Machines Corporation, Intel Corporation, FedEx, Deutsche Post DHL Group, Amazon.com, Inc., Alibaba.com, Advanced Micro Devices, Inc., and Others.

The driving factors of the AI in supply chain market are the increasing adoption of AI-driven automation and real-time monitoring solutions to enhance supply chain efficiency and resilience.

North America region will lead the global AI in supply chain market during the forecast period 2025 to 2034.

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