Global Artificial Intelligence (AI) in Supply Chain Market Overview:
Global Artificial Intelligence (AI) in Supply Chain Market Is Expected to Grow at A Significant Growth Rate, And the Forecast Period Is 2025-2032, Considering the Base Year As 2024.
Global Artificial Intelligence (AI) in Supply Chain Market Report 2025 comes with the extensive industry analysis with development components, patterns, flows and sizes. The report also calculates present and past market values to forecast potential market management through the forecast period between 2025-2032.This research study of Artificial Intelligence (AI) in Supply Chain involved the extensive usage of both primary and secondary data sources. This includes the study of various parameters affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry.
Scope of the Artificial Intelligence (AI) in Supply Chain Market:
The Artificial Intelligence (AI) in Supply Chain Market Research report incorporates value chain analysis for each of the product type. Value chain analysis offers in-depth information about value addition at each stage.The study includes drivers and restraints for Artificial Intelligence (AI) in Supply Chain Market along with their impact on demand during the forecast period. The study also provides key market indicators affecting thegrowth of the market. Research report includes major key player analysis with shares of each player inside market, growth rate and market attractiveness in different endusers/regions. Our study Artificial Intelligence (AI) in Supply Chain Market helps user to make precise decision in order to expand their market presence and increase market share.
By Type, Artificial Intelligence (AI) in Supply Chain market has been segmented into:
Hardware
Software
Services
By Application, Artificial Intelligence (AI) in Supply Chain market has been segmented into:
Machine Learning
Natural Language Processing
Context-Aware Computing
Computer Vision
Regional Analysis:
North America (U.S., Canada, Mexico)
Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
South America (Brazil, Argentina, Rest of SA)
Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)
Competitive Landscape:
Competitive analysis is the study of strength and weakness, market investment, market share, market sales volume, market trends of major players in the market.The Artificial Intelligence (AI) in Supply Chain market study focused on including all the primary level, secondary level and tertiary level competitors in the report. The data generated by conducting the primary and secondary research.The report covers detail analysis of driver, constraints and scope for new players entering the Artificial Intelligence (AI) in Supply Chain market.
Top Key Players Covered in Artificial Intelligence (AI) in Supply Chain market are:
Amazon
C. H.Robinson
Cainiao Network (Alibaba)
ClearMetal
Deutsche Post AG DHL
E2open
FedEx
Fraight AI
IBM
Intel
LLamasoftinc
Logility
Micron Technology
Microsoft
NVIDIA
Oracle
Presenso
Relex Solution
Samsung Electronics
SAP
Splice Machine
Teknowlogi
Xilinx
Chapter 1: Introduction
1.1 Scope and Coverage
Chapter 2:Executive Summary
Chapter 3: Market Landscape
3.1 Industry Dynamics and Opportunity Analysis
3.1.1 Growth Drivers
3.1.2 Limiting Factors
3.1.3 Growth Opportunities
3.1.4 Challenges and Risks
3.2 Market Trend Analysis
3.3 Strategic Pestle Overview
3.4 Porter's Five Forces Analysis
3.5 Industry Value Chain Mapping
3.6 Regulatory Framework
3.7 Princing Trend Analysis
3.8 Patent Analysis
3.9 Technology Evolution
3.10 Investment Pockets
3.11 Import-Export Analysis
Chapter 4: Artificial Intelligence (AI) in Supply Chain Market Type
4.1 Artificial Intelligence (AI) in Supply Chain Market Snapshot and Growth Engine
4.2 Artificial Intelligence (AI) in Supply Chain Market Overview
4.3 Hardware
4.3.1 Introduction and Market Overview
4.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
4.3.3 Hardware: Geographic Segmentation Analysis
4.4 Software
4.4.1 Introduction and Market Overview
4.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
4.4.3 Software: Geographic Segmentation Analysis
4.5 Services
4.5.1 Introduction and Market Overview
4.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
4.5.3 Services: Geographic Segmentation Analysis
Chapter 5: Artificial Intelligence (AI) in Supply Chain Market Application
5.1 Artificial Intelligence (AI) in Supply Chain Market Snapshot and Growth Engine
5.2 Artificial Intelligence (AI) in Supply Chain Market Overview
5.3 Machine Learning
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
5.3.3 Machine Learning: Geographic Segmentation Analysis
5.4 Natural Language Processing
5.4.1 Introduction and Market Overview
5.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
5.4.3 Natural Language Processing: Geographic Segmentation Analysis
5.5 Context-Aware Computing
5.5.1 Introduction and Market Overview
5.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
5.5.3 Context-Aware Computing: Geographic Segmentation Analysis
5.6 Computer Vision
5.6.1 Introduction and Market Overview
5.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
5.6.3 Computer Vision: Geographic Segmentation Analysis
Chapter 6: Company Profiles and Competitive Analysis
6.1 Competitive Landscape
6.1.1 Competitive Benchmarking
6.1.2 Artificial Intelligence (AI) in Supply Chain Market Share by Manufacturer (2025)
6.1.3 Concentration Ratio(CR5)
6.1.4 Heat Map Analysis
6.1.5 Mergers and Acquisitions
6.2 AMAZON
6.2.1 Company Overview
6.2.2 Key Executives
6.2.3 Company Snapshot
6.2.4 Operating Business Segments
6.2.5 Product Portfolio
6.2.6 Business Performance
6.2.7 Key Strategic Moves and Recent Developments
6.3 C. H.ROBINSON
6.4 CAINIAO NETWORK (ALIBABA)
6.5 CLEARMETAL
6.6 DEUTSCHE POST AG DHL
6.7 E2OPEN
6.8 FEDEX
6.9 FRAIGHT AI
6.10 IBM
6.11 INTEL
6.12 LLAMASOFTINC
6.13 LOGILITY
6.14 MICRON TECHNOLOGY
6.15 MICROSOFT
6.16 NVIDIA
6.17 ORACLE
6.18 PRESENSO
6.19 RELEX SOLUTION
6.20 SAMSUNG ELECTRONICS
6.21 SAP
6.22 SPLICE MACHINE
6.23 TEKNOWLOGI
6.24 XILINX
Chapter 7: Global Artificial Intelligence (AI) in Supply Chain Market By Region
7.1 Overview
7.2. North America Artificial Intelligence (AI) in Supply Chain Market
7.2.1 Historic and Forecasted Market Size by Segments
7.2.2 Historic and Forecasted Market Size By Type
7.2.2.1 Hardware
7.2.2.2 Software
7.2.2.3 Services
7.2.3 Historic and Forecasted Market Size By Application
7.2.3.1 Machine Learning
7.2.3.2 Natural Language Processing
7.2.3.3 Context-Aware Computing
7.2.3.4 Computer Vision
7.2.4 Historic and Forecast Market Size by Country
7.2.4.1 US
7.2.4.2 Canada
7.2.4.3 Mexico
7.3. Eastern Europe Artificial Intelligence (AI) in Supply Chain Market
7.3.1 Historic and Forecasted Market Size by Segments
7.3.2 Historic and Forecasted Market Size By Type
7.3.2.1 Hardware
7.3.2.2 Software
7.3.2.3 Services
7.3.3 Historic and Forecasted Market Size By Application
7.3.3.1 Machine Learning
7.3.3.2 Natural Language Processing
7.3.3.3 Context-Aware Computing
7.3.3.4 Computer Vision
7.3.4 Historic and Forecast Market Size by Country
7.3.4.1 Russia
7.3.4.2 Bulgaria
7.3.4.3 The Czech Republic
7.3.4.4 Hungary
7.3.4.5 Poland
7.3.4.6 Romania
7.3.4.7 Rest of Eastern Europe
7.4. Western Europe Artificial Intelligence (AI) in Supply Chain Market
7.4.1 Historic and Forecasted Market Size by Segments
7.4.2 Historic and Forecasted Market Size By Type
7.4.2.1 Hardware
7.4.2.2 Software
7.4.2.3 Services
7.4.3 Historic and Forecasted Market Size By Application
7.4.3.1 Machine Learning
7.4.3.2 Natural Language Processing
7.4.3.3 Context-Aware Computing
7.4.3.4 Computer Vision
7.4.4 Historic and Forecast Market Size by Country
7.4.4.1 Germany
7.4.4.2 UK
7.4.4.3 France
7.4.4.4 The Netherlands
7.4.4.5 Italy
7.4.4.6 Spain
7.4.4.7 Rest of Western Europe
7.5. Asia Pacific Artificial Intelligence (AI) in Supply Chain Market
7.5.1 Historic and Forecasted Market Size by Segments
7.5.2 Historic and Forecasted Market Size By Type
7.5.2.1 Hardware
7.5.2.2 Software
7.5.2.3 Services
7.5.3 Historic and Forecasted Market Size By Application
7.5.3.1 Machine Learning
7.5.3.2 Natural Language Processing
7.5.3.3 Context-Aware Computing
7.5.3.4 Computer Vision
7.5.4 Historic and Forecast Market Size by Country
7.5.4.1 China
7.5.4.2 India
7.5.4.3 Japan
7.5.4.4 South Korea
7.5.4.5 Malaysia
7.5.4.6 Thailand
7.5.4.7 Vietnam
7.5.4.8 The Philippines
7.5.4.9 Australia
7.5.4.10 New Zealand
7.5.4.11 Rest of APAC
7.6. Middle East & Africa Artificial Intelligence (AI) in Supply Chain Market
7.6.1 Historic and Forecasted Market Size by Segments
7.6.2 Historic and Forecasted Market Size By Type
7.6.2.1 Hardware
7.6.2.2 Software
7.6.2.3 Services
7.6.3 Historic and Forecasted Market Size By Application
7.6.3.1 Machine Learning
7.6.3.2 Natural Language Processing
7.6.3.3 Context-Aware Computing
7.6.3.4 Computer Vision
7.6.4 Historic and Forecast Market Size by Country
7.6.4.1 Turkiye
7.6.4.2 Bahrain
7.6.4.3 Kuwait
7.6.4.4 Saudi Arabia
7.6.4.5 Qatar
7.6.4.6 UAE
7.6.4.7 Israel
7.6.4.8 South Africa
7.7. South America Artificial Intelligence (AI) in Supply Chain Market
7.7.1 Historic and Forecasted Market Size by Segments
7.7.2 Historic and Forecasted Market Size By Type
7.7.2.1 Hardware
7.7.2.2 Software
7.7.2.3 Services
7.7.3 Historic and Forecasted Market Size By Application
7.7.3.1 Machine Learning
7.7.3.2 Natural Language Processing
7.7.3.3 Context-Aware Computing
7.7.3.4 Computer Vision
7.7.4 Historic and Forecast Market Size by Country
7.7.4.1 Brazil
7.7.4.2 Argentina
7.7.4.3 Rest of SA
Chapter 8 Analyst Viewpoint and Conclusion
8.1 Recommendations and Concluding Analysis
8.2 Potential Market Strategies
Chapter 9 Research Methodology
9.1 Research Process
9.2 Primary Research
9.3 Secondary Research
Artificial Intelligence (AI) in Supply Chain Scope:
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Report Data
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Artificial Intelligence (AI) in Supply Chain Market
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Artificial Intelligence (AI) in Supply Chain Market Size in 2025
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USD XX million
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Artificial Intelligence (AI) in Supply Chain CAGR 2025 - 2032
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XX%
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Artificial Intelligence (AI) in Supply Chain Base Year
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2024
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Artificial Intelligence (AI) in Supply Chain Forecast Data
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2025 - 2032
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Segments Covered
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By Type, By Application, And by Regions
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Regional Scope
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North America, Europe, Asia Pacific, Latin America, and Middle East & Africa
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Key Companies Profiled
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Amazon, C. H.Robinson, Cainiao Network (Alibaba), ClearMetal, Deutsche Post AG DHL, E2open, FedEx, Fraight AI, IBM, Intel, LLamasoftinc, Logility, Micron Technology, Microsoft, NVIDIA, Oracle, Presenso, Relex Solution, Samsung Electronics, SAP, Splice Machine, Teknowlogi, Xilinx.
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Key Segments
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By Type
Hardware
Software
Services
By Applications
Machine Learning
Natural Language Processing
Context-Aware Computing
Computer Vision
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