Artificial Intelligence in Supply Chain Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Offering, By Application, By End-User, By Region & Competition, 2021-2031F

Description

The Global Artificial Intelligence in Supply Chain Market will grow from USD 18.55 Billion in 2025 to USD 105.29 Billion by 2031 at a 33.56% CAGR. Artificial intelligence in the supply chain refers to the application of machine learning and predictive analytics to automate logistics and enhance strategic decision-making.

Market Overview
Forecast Period	2027-2031
Market Size 2025	USD 18.55 Billion
Market Size 2031	USD 105.29 Billion
CAGR 2026-2031	33.56%
Fastest Growing Segment	Services
Largest Market	North America

Key Market Drivers

The rising demand for operational efficiency and cost reduction acts as a primary catalyst for the integration of artificial intelligence within global logistics networks. Organizations are increasingly leveraging machine learning algorithms to automate labor-intensive processes, optimize inventory positioning, and refine predictive maintenance schedules, thereby minimizing downtime and operational waste.

Key Market Challenges

The integration of advanced artificial intelligence algorithms with fragmented legacy infrastructure presents a formidable barrier to market growth. Many supply chain organizations operate on outdated, siloed systems that cannot effectively communicate with modern machine learning platforms. This incompatibility leads to severe data quality issues, as disparate sources generate unstructured or inconsistent information that AI models cannot process accurately. Consequently, companies struggle to derive the actionable insights necessary for predictive analytics, rendering their investment in intelligent automation less effective and slowing the overall pace of digital transformation.

Key Market Trends

The integration of Generative AI represents a transformative shift in supply chain management, moving beyond traditional predictive analytics to enable advanced risk simulation and autonomous decision-making. Unlike legacy systems that rely on structured datasets, these tools can process vast amounts of unstructured information, such as contracts and market reports, to generate actionable scenarios for complex problem-solving. This capability allows organizations to simulate potential disruptions and automatically generate mitigation strategies, significantly reducing the reliance on manual contingency planning.

Key Market Players

IBM Corporation
SAP SE
Oracle Corporation
Microsoft Corporation
Amazon Web Services, Inc.
Google LLC
Cisco Systems, Inc
Intel Corporation
Accenture plc
Kinaxis Inc

Report Scope:

In this report, the Global Artificial Intelligence in Supply Chain Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Artificial Intelligence in Supply Chain Market, By Offering:

Hardware
Software
Services

Artificial Intelligence in Supply Chain Market, By Application:

Fleet Management
Supply Chain Planning

Artificial Intelligence in Supply Chain Market, By End-User:

Automotive
Retail
Others

Artificial Intelligence in Supply Chain Market, By Region:

North America
United States
Canada
Mexico
Europe
France
United Kingdom
Italy
Germany
Spain
Asia Pacific
China
India
Japan
Australia
South Korea
South America
Brazil
Argentina
Colombia
Middle East & Africa
South Africa
Saudi Arabia
UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Artificial Intelligence in Supply Chain Market.

Available Customizations:

Global Artificial Intelligence in Supply Chain Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

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 Artificial Intelligence in Supply Chain Market Outlook

5.1. Market Size & Forecast
- 5.1.1. By Value
5.2. Market Share & Forecast
- 5.2.1. By Offering (Hardware, Software, Services)
- 5.2.2. By Application (Fleet Management, Supply Chain Planning)
- 5.2.3. By End-User (Automotive, Retail, Others)
- 5.2.4. By Region
- 5.2.5. By Company (2025)
5.3. Market Map

6. North America Artificial Intelligence in Supply Chain Market Outlook

6.1. Market Size & Forecast
- 6.1.1. By Value
6.2. Market Share & Forecast
- 6.2.1. By Offering
- 6.2.2. By Application
- 6.2.3. By End-User
- 6.2.4. By Country
6.3. North America: Country Analysis
- 6.3.1. United States Artificial Intelligence in Supply Chain Market Outlook
  - 6.3.1.1. Market Size & Forecast
    - 6.3.1.1.1. By Value
  - 6.3.1.2. Market Share & Forecast
    - 6.3.1.2.1. By Offering
    - 6.3.1.2.2. By Application
    - 6.3.1.2.3. By End-User
- 6.3.2. Canada Artificial Intelligence in Supply Chain Market Outlook
  - 6.3.2.1. Market Size & Forecast
    - 6.3.2.1.1. By Value
  - 6.3.2.2. Market Share & Forecast
    - 6.3.2.2.1. By Offering
    - 6.3.2.2.2. By Application
    - 6.3.2.2.3. By End-User
- 6.3.3. Mexico Artificial Intelligence in Supply Chain Market Outlook
  - 6.3.3.1. Market Size & Forecast
    - 6.3.3.1.1. By Value
  - 6.3.3.2. Market Share & Forecast
    - 6.3.3.2.1. By Offering
    - 6.3.3.2.2. By Application
    - 6.3.3.2.3. By End-User

7. Europe Artificial Intelligence in Supply Chain Market Outlook

7.1. Market Size & Forecast
- 7.1.1. By Value
7.2. Market Share & Forecast
- 7.2.1. By Offering
- 7.2.2. By Application
- 7.2.3. By End-User
- 7.2.4. By Country
7.3. Europe: Country Analysis
- 7.3.1. Germany Artificial Intelligence in Supply Chain Market Outlook
  - 7.3.1.1. Market Size & Forecast
    - 7.3.1.1.1. By Value
  - 7.3.1.2. Market Share & Forecast
    - 7.3.1.2.1. By Offering
    - 7.3.1.2.2. By Application
    - 7.3.1.2.3. By End-User
- 7.3.2. France Artificial Intelligence in Supply Chain Market Outlook
  - 7.3.2.1. Market Size & Forecast
    - 7.3.2.1.1. By Value
  - 7.3.2.2. Market Share & Forecast
    - 7.3.2.2.1. By Offering
    - 7.3.2.2.2. By Application
    - 7.3.2.2.3. By End-User
- 7.3.3. United Kingdom Artificial Intelligence in Supply Chain Market Outlook
  - 7.3.3.1. Market Size & Forecast
    - 7.3.3.1.1. By Value
  - 7.3.3.2. Market Share & Forecast
    - 7.3.3.2.1. By Offering
    - 7.3.3.2.2. By Application
    - 7.3.3.2.3. By End-User
- 7.3.4. Italy Artificial Intelligence in Supply Chain Market Outlook
  - 7.3.4.1. Market Size & Forecast
    - 7.3.4.1.1. By Value
  - 7.3.4.2. Market Share & Forecast
    - 7.3.4.2.1. By Offering
    - 7.3.4.2.2. By Application
    - 7.3.4.2.3. By End-User
- 7.3.5. Spain Artificial Intelligence in Supply Chain Market Outlook
  - 7.3.5.1. Market Size & Forecast
    - 7.3.5.1.1. By Value
  - 7.3.5.2. Market Share & Forecast
    - 7.3.5.2.1. By Offering
    - 7.3.5.2.2. By Application
    - 7.3.5.2.3. By End-User

8. Asia Pacific Artificial Intelligence in Supply Chain Market Outlook

8.1. Market Size & Forecast
- 8.1.1. By Value
8.2. Market Share & Forecast
- 8.2.1. By Offering
- 8.2.2. By Application
- 8.2.3. By End-User
- 8.2.4. By Country
8.3. Asia Pacific: Country Analysis
- 8.3.1. China Artificial Intelligence in Supply Chain Market Outlook
  - 8.3.1.1. Market Size & Forecast
    - 8.3.1.1.1. By Value
  - 8.3.1.2. Market Share & Forecast
    - 8.3.1.2.1. By Offering
    - 8.3.1.2.2. By Application
    - 8.3.1.2.3. By End-User
- 8.3.2. India Artificial Intelligence in Supply Chain Market Outlook
  - 8.3.2.1. Market Size & Forecast
    - 8.3.2.1.1. By Value
  - 8.3.2.2. Market Share & Forecast
    - 8.3.2.2.1. By Offering
    - 8.3.2.2.2. By Application
    - 8.3.2.2.3. By End-User
- 8.3.3. Japan Artificial Intelligence in Supply Chain Market Outlook
  - 8.3.3.1. Market Size & Forecast
    - 8.3.3.1.1. By Value
  - 8.3.3.2. Market Share & Forecast
    - 8.3.3.2.1. By Offering
    - 8.3.3.2.2. By Application
    - 8.3.3.2.3. By End-User
- 8.3.4. South Korea Artificial Intelligence in Supply Chain Market Outlook
  - 8.3.4.1. Market Size & Forecast
    - 8.3.4.1.1. By Value
  - 8.3.4.2. Market Share & Forecast
    - 8.3.4.2.1. By Offering
    - 8.3.4.2.2. By Application
    - 8.3.4.2.3. By End-User
- 8.3.5. Australia Artificial Intelligence in Supply Chain Market Outlook
  - 8.3.5.1. Market Size & Forecast
    - 8.3.5.1.1. By Value
  - 8.3.5.2. Market Share & Forecast
    - 8.3.5.2.1. By Offering
    - 8.3.5.2.2. By Application
    - 8.3.5.2.3. By End-User

9. Middle East & Africa Artificial Intelligence in Supply Chain Market Outlook

9.1. Market Size & Forecast
- 9.1.1. By Value
9.2. Market Share & Forecast
- 9.2.1. By Offering
- 9.2.2. By Application
- 9.2.3. By End-User
- 9.2.4. By Country
9.3. Middle East & Africa: Country Analysis
- 9.3.1. Saudi Arabia Artificial Intelligence in Supply Chain Market Outlook
  - 9.3.1.1. Market Size & Forecast
    - 9.3.1.1.1. By Value
  - 9.3.1.2. Market Share & Forecast
    - 9.3.1.2.1. By Offering
    - 9.3.1.2.2. By Application
    - 9.3.1.2.3. By End-User
- 9.3.2. UAE Artificial Intelligence in Supply Chain Market Outlook
  - 9.3.2.1. Market Size & Forecast
    - 9.3.2.1.1. By Value
  - 9.3.2.2. Market Share & Forecast
    - 9.3.2.2.1. By Offering
    - 9.3.2.2.2. By Application
    - 9.3.2.2.3. By End-User
- 9.3.3. South Africa Artificial Intelligence in Supply Chain Market Outlook
  - 9.3.3.1. Market Size & Forecast
    - 9.3.3.1.1. By Value
  - 9.3.3.2. Market Share & Forecast
    - 9.3.3.2.1. By Offering
    - 9.3.3.2.2. By Application
    - 9.3.3.2.3. By End-User

10. South America Artificial Intelligence in Supply Chain Market Outlook

10.1. Market Size & Forecast
- 10.1.1. By Value
10.2. Market Share & Forecast
- 10.2.1. By Offering
- 10.2.2. By Application
- 10.2.3. By End-User
- 10.2.4. By Country
10.3. South America: Country Analysis
- 10.3.1. Brazil Artificial Intelligence in Supply Chain Market Outlook
  - 10.3.1.1. Market Size & Forecast
    - 10.3.1.1.1. By Value
  - 10.3.1.2. Market Share & Forecast
    - 10.3.1.2.1. By Offering
    - 10.3.1.2.2. By Application
    - 10.3.1.2.3. By End-User
- 10.3.2. Colombia Artificial Intelligence in Supply Chain Market Outlook
  - 10.3.2.1. Market Size & Forecast
    - 10.3.2.1.1. By Value
  - 10.3.2.2. Market Share & Forecast
    - 10.3.2.2.1. By Offering
    - 10.3.2.2.2. By Application
    - 10.3.2.2.3. By End-User
- 10.3.3. Argentina Artificial Intelligence in Supply Chain Market Outlook
  - 10.3.3.1. Market Size & Forecast
    - 10.3.3.1.1. By Value
  - 10.3.3.2. Market Share & Forecast
    - 10.3.3.2.1. By Offering
    - 10.3.3.2.2. By Application
    - 10.3.3.2.3. By End-User

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 Artificial Intelligence 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. IBM Corporation
- 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. SAP SE
15.3. Oracle Corporation
15.4. Microsoft Corporation
15.5. Amazon Web Services, Inc.
15.6. Google LLC
15.7. Cisco Systems, Inc
15.8. Intel Corporation
15.9. Accenture plc
15.10. Kinaxis Inc