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Report
Artificial Intelligence in Supply Chain Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Offering (Hardware, Software, Services), By Application (Fleet Management, Supply Chain Planning), By End-User (Automotive, Retail, Others), By Region & Competition, 2021-2031F
Market Report I 2026-01-05 I 181 Pages I TechSci Research
Market Overview
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.
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 Many supply chain organizations operate on outdated, siloed systems that cannot effectively communicate with modern machine learning platforms.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:
o Hardware
o Software
o Services
- Artificial Intelligence in Supply Chain Market, By Application:
o Fleet Management
o Supply Chain Planning
- Artificial Intelligence in Supply Chain Market, By End-User:
o Automotive
o Retail
o Others
- Artificial Intelligence in Supply Chain Market, By Region:
o North America
- United States
- Canada
- Mexico
o Europe
- France
- United Kingdom
- Italy
- Germany
- Spain
o Asia Pacific
- China
- India
- Japan
- Australia
- South Korea
o South America
- Brazil
- Argentina
- Colombia
o 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:
Company Information
- Detailed analysis and profiling of additional market players (up to five).
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
16. Strategic Recommendations
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