AI in Supply Chain Market

Global AI in Supply Chain Market will grow from USD 13.6 Billion in 2025 to USD 66.1 Billion by 2031 at a 37.2% CAGR.

Description

The Global AI in Supply Chain Market will grow from USD 13.6 Billion in 2025 to USD 66.1 Billion by 2031 at a 37.2% CAGR. AI in supply chain refers to the use of artificial intelligence technologies to optimize planning, forecasting, logistics, and operations. Growth is driven by increasing demand for automation, real-time visibility, and predictive analytics. Integration with IoT, big data, and cloud platforms further accelerates adoption. However, data integration complexity and high implementation costs remain key challenges.

Table of Contents

1.Product Overview

1.1.Market Definition

1.2. Scope of the Market

1.2.1.Markets Covered

1.2.2.Years Considered for Study

1.2.3.Key Market Segmentations

2.Research Methodology

2.1. Objective of the Study

2.2.Baseline Methodology

2.3.Key Industry Partners

2.4.Major Association and Secondary Sources

2.5.Forecasting Methodology

2.6.Data Triangulation & Validation

2.7.Assumptions and Limitations

3.Executive Summary

3.1.Overview of the Market

3.2.Overview of Key Market Segmentations

3.3.Overview of Key Market Players

3.4.Overview of Key Regions/Countries

3.5.Overview of Market Drivers, Challenges, Trends

4.Voice of Customer

5.Global AI in Supply Chain Market Outlook

5.1.Market Size & Forecast

5.1.1.By Value

5.2.Market Share & Forecast

5.2.1.By Component (Software, Services)

5.2.2.By Technology (Machine Learning, Natural Language Processing, Computer Vision, Others)

5.2.3.By Application (Demand Forecasting, Inventory Management, Logistics Optimization, Warehouse Automation, Others)

5.2.4.By Deployment (Cloud, On-Premise)

5.2.5.By End-User (Retail, Manufacturing, Healthcare, Automotive, BFSI, Others)

5.2.6.By Region

5.2.7.By Company (2025)

5.3.Product Map

6.North America AI in Supply Chain Market Outlook

6.1.Market Size & Forecast

6.1.1.By Value

6.2.Market Share & Forecast

6.2.1.By Component

6.2.2.By Technology

6.2.3.By Application

6.2.4.By Deployment

6.2.5.By End-User

6.2.6.By Country

7.Europe AI in Supply Chain Market Outlook

7.1.Market Size & Forecast

7.1.1.By Value

7.2.Market Share & Forecast

7.2.1.By Component

7.2.2.By Technology

7.2.3.By Application

7.2.4.By Deployment

7.2.5.By End-User

7.2.6.By Country

8.Asia Pacific AI in Supply Chain Market Outlook

8.1.Market Size & Forecast

8.1.1.By Value

8.2.Market Share & Forecast

8.2.1.By Component

8.2.2.By Technology

8.2.3.By Application

8.2.4.By Deployment

8.2.5.By End-User

8.2.6.By Country

9.Middle East & Africa AI in Supply Chain Market Outlook

9.1.Market Size & Forecast

9.1.1.By Value

9.2.Market Share & Forecast

9.2.1.By Component

9.2.2.By Technology

9.2.3.By Application

9.2.4.By Deployment

9.2.5.By End-User

9.2.6.By Country

10.South America AI in Supply Chain Market Outlook

10.1.Market Size & Forecast

10.1.1.By Value

10.2.Market Share & Forecast

10.2.1.By Component

10.2.2.By Technology

10.2.3.By Application

10.2.4.By Deployment

10.2.5.By End-User

10.2.6.By Country

11.Market Dynamics

11.1.Drivers

11.2.Challenges

12.Market Trends & Developments

12.1.Merger & Acquisition (If Any)

12.2.Product Launches (If Any)

12.3.Recent Developments

13.Global AI in Supply Chain Market: SWOT Analysis

14.Porter's Five Forces Analysis

14.1.Competition in the Industry

14.2.Potential of New Entrants

14.3.Power of Suppliers

14.4.Power of Customers

14.5.Threat of Substitute Products

15.Competitive Landscape

15.1.SAP SE

15.1.1.Business Overview

15.1.2.Products & Services

15.1.3.Recent Developments

15.1.4.Key Personnel

15.1.5.SWOT Analysis

15.2.IBM Corporation

15.3.Oracle Corporation

15.4.Microsoft Corporation

15.5.Amazon.com, Inc.

15.6.Blue Yonder

15.7.Infor

15.8.Kinaxis Inc.

15.9.Coupa Software Inc.

15.10.Logility, Inc.

16.Strategic Recommendations

17.About Us & Disclaimer

Methodology