Global Artificial Intelligence Supply Chain Management Service 麻豆原创 Research Report 2025

Publication ID:

PB505252927

Publication Date:

May 28, 2025

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Artificial Intelligence Supply Chain Management Service was valued at US$ million in the year 2024 and is projected to reach a revised size of US$ million by 2031, growing at a CAGR of %during the forecast period.
The application of artificial intelligence (AI) in supply chain management has gradually become the focus of the industry, providing enterprises with more efficient and intelligent operating methods. Use machine learning algorithms to analyze historical data, market trends and consumer behavior to improve the accuracy of product demand and optimize production and inventory planning. As edge computing technology develops, the ability to process real-time data will increase, supporting faster decision-making and response. Overall, the development trend of artificial intelligence in the field of supply chain management is towards a more intelligent, automated, sustainable and digital direction.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence Supply Chain Management Service, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence Supply Chain Management Service.
The Artificial Intelligence Supply Chain Management Service market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Artificial Intelligence Supply Chain Management Service market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence Supply Chain Management Service companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
Blue Yonder
SAP
IBM
Oracle
Infor Nexus
Elementum
Coupa
E2open
WiseTech Global
Shenzhen Qianhai Yueshi Information Technology
Segment by Type
Supplier Management
Logistics Management
Others
Segment by Application
Large Enterprise
Medium-Sized Enterprise
Small Companies
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Artificial Intelligence Supply Chain Management Service company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Artificial Intelligence Supply Chain Management Service 麻豆原创 Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Supplier Management
1.2.3 Logistics Management
1.2.4 Others
1.3 麻豆原创 by Application
1.3.1 Global Artificial Intelligence Supply Chain Management Service 麻豆原创 Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Large Enterprise
1.3.3 Medium-Sized Enterprise
1.3.4 Small Companies
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence Supply Chain Management Service 麻豆原创 Perspective (2020-2031)
2.2 Global Artificial Intelligence Supply Chain Management Service Growth Trends by Region
2.2.1 Global Artificial Intelligence Supply Chain Management Service 麻豆原创 Size by Region: 2020 VS 2024 VS 2031
2.2.2 Artificial Intelligence Supply Chain Management Service Historic 麻豆原创 Size by Region (2020-2025)
2.2.3 Artificial Intelligence Supply Chain Management Service Forecasted 麻豆原创 Size by Region (2026-2031)
2.3 Artificial Intelligence Supply Chain Management Service 麻豆原创 Dynamics
2.3.1 Artificial Intelligence Supply Chain Management Service Industry Trends
2.3.2 Artificial Intelligence Supply Chain Management Service 麻豆原创 Drivers
2.3.3 Artificial Intelligence Supply Chain Management Service 麻豆原创 Challenges
2.3.4 Artificial Intelligence Supply Chain Management Service 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence Supply Chain Management Service Players by Revenue
3.1.1 Global Top Artificial Intelligence Supply Chain Management Service Players by Revenue (2020-2025)
3.1.2 Global Artificial Intelligence Supply Chain Management Service Revenue 麻豆原创 Share by Players (2020-2025)
3.2 Global Artificial Intelligence Supply Chain Management Service 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Artificial Intelligence Supply Chain Management Service Revenue
3.4 Global Artificial Intelligence Supply Chain Management Service 麻豆原创 Concentration Ratio
3.4.1 Global Artificial Intelligence Supply Chain Management Service 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence Supply Chain Management Service Revenue in 2024
3.5 Global Key Players of Artificial Intelligence Supply Chain Management Service Head office and Area Served
3.6 Global Key Players of Artificial Intelligence Supply Chain Management Service, Product and Application
3.7 Global Key Players of Artificial Intelligence Supply Chain Management Service, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence Supply Chain Management Service Breakdown Data by Type
4.1 Global Artificial Intelligence Supply Chain Management Service Historic 麻豆原创 Size by Type (2020-2025)
4.2 Global Artificial Intelligence Supply Chain Management Service Forecasted 麻豆原创 Size by Type (2026-2031)
5 Artificial Intelligence Supply Chain Management Service Breakdown Data by Application
5.1 Global Artificial Intelligence Supply Chain Management Service Historic 麻豆原创 Size by Application (2020-2025)
5.2 Global Artificial Intelligence Supply Chain Management Service Forecasted 麻豆原创 Size by Application (2026-2031)
6 North America
6.1 North America Artificial Intelligence Supply Chain Management Service 麻豆原创 Size (2020-2031)
6.2 North America Artificial Intelligence Supply Chain Management Service 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Artificial Intelligence Supply Chain Management Service 麻豆原创 Size by Country (2020-2025)
6.4 North America Artificial Intelligence Supply Chain Management Service 麻豆原创 Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence Supply Chain Management Service 麻豆原创 Size (2020-2031)
7.2 Europe Artificial Intelligence Supply Chain Management Service 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Artificial Intelligence Supply Chain Management Service 麻豆原创 Size by Country (2020-2025)
7.4 Europe Artificial Intelligence Supply Chain Management Service 麻豆原创 Size by Country (2026-2031)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence Supply Chain Management Service 麻豆原创 Size (2020-2031)
8.2 Asia-Pacific Artificial Intelligence Supply Chain Management Service 麻豆原创 Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Artificial Intelligence Supply Chain Management Service 麻豆原创 Size by Region (2020-2025)
8.4 Asia-Pacific Artificial Intelligence Supply Chain Management Service 麻豆原创 Size by Region (2026-2031)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Artificial Intelligence Supply Chain Management Service 麻豆原创 Size (2020-2031)
9.2 Latin America Artificial Intelligence Supply Chain Management Service 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Artificial Intelligence Supply Chain Management Service 麻豆原创 Size by Country (2020-2025)
9.4 Latin America Artificial Intelligence Supply Chain Management Service 麻豆原创 Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence Supply Chain Management Service 麻豆原创 Size (2020-2031)
10.2 Middle East & Africa Artificial Intelligence Supply Chain Management Service 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Artificial Intelligence Supply Chain Management Service 麻豆原创 Size by Country (2020-2025)
10.4 Middle East & Africa Artificial Intelligence Supply Chain Management Service 麻豆原创 Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Blue Yonder
11.1.1 Blue Yonder Company Details
11.1.2 Blue Yonder Business Overview
11.1.3 Blue Yonder Artificial Intelligence Supply Chain Management Service Introduction
11.1.4 Blue Yonder Revenue in Artificial Intelligence Supply Chain Management Service Business (2020-2025)
11.1.5 Blue Yonder Recent Development
11.2 SAP
11.2.1 SAP Company Details
11.2.2 SAP Business Overview
11.2.3 SAP Artificial Intelligence Supply Chain Management Service Introduction
11.2.4 SAP Revenue in Artificial Intelligence Supply Chain Management Service Business (2020-2025)
11.2.5 SAP Recent Development
11.3 IBM
11.3.1 IBM Company Details
11.3.2 IBM Business Overview
11.3.3 IBM Artificial Intelligence Supply Chain Management Service Introduction
11.3.4 IBM Revenue in Artificial Intelligence Supply Chain Management Service Business (2020-2025)
11.3.5 IBM Recent Development
11.4 Oracle
11.4.1 Oracle Company Details
11.4.2 Oracle Business Overview
11.4.3 Oracle Artificial Intelligence Supply Chain Management Service Introduction
11.4.4 Oracle Revenue in Artificial Intelligence Supply Chain Management Service Business (2020-2025)
11.4.5 Oracle Recent Development
11.5 Infor Nexus
11.5.1 Infor Nexus Company Details
11.5.2 Infor Nexus Business Overview
11.5.3 Infor Nexus Artificial Intelligence Supply Chain Management Service Introduction
11.5.4 Infor Nexus Revenue in Artificial Intelligence Supply Chain Management Service Business (2020-2025)
11.5.5 Infor Nexus Recent Development
11.6 Elementum
11.6.1 Elementum Company Details
11.6.2 Elementum Business Overview
11.6.3 Elementum Artificial Intelligence Supply Chain Management Service Introduction
11.6.4 Elementum Revenue in Artificial Intelligence Supply Chain Management Service Business (2020-2025)
11.6.5 Elementum Recent Development
11.7 Coupa
11.7.1 Coupa Company Details
11.7.2 Coupa Business Overview
11.7.3 Coupa Artificial Intelligence Supply Chain Management Service Introduction
11.7.4 Coupa Revenue in Artificial Intelligence Supply Chain Management Service Business (2020-2025)
11.7.5 Coupa Recent Development
11.8 E2open
11.8.1 E2open Company Details
11.8.2 E2open Business Overview
11.8.3 E2open Artificial Intelligence Supply Chain Management Service Introduction
11.8.4 E2open Revenue in Artificial Intelligence Supply Chain Management Service Business (2020-2025)
11.8.5 E2open Recent Development
11.9 WiseTech Global
11.9.1 WiseTech Global Company Details
11.9.2 WiseTech Global Business Overview
11.9.3 WiseTech Global Artificial Intelligence Supply Chain Management Service Introduction
11.9.4 WiseTech Global Revenue in Artificial Intelligence Supply Chain Management Service Business (2020-2025)
11.9.5 WiseTech Global Recent Development
11.10 Shenzhen Qianhai Yueshi Information Technology
11.10.1 Shenzhen Qianhai Yueshi Information Technology Company Details
11.10.2 Shenzhen Qianhai Yueshi Information Technology Business Overview
11.10.3 Shenzhen Qianhai Yueshi Information Technology Artificial Intelligence Supply Chain Management Service Introduction
11.10.4 Shenzhen Qianhai Yueshi Information Technology Revenue in Artificial Intelligence Supply Chain Management Service Business (2020-2025)
11.10.5 Shenzhen Qianhai Yueshi Information Technology Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

Blue Yonder
SAP
IBM
Oracle
Infor Nexus
Elementum
Coupa
E2open
WiseTech Global
Shenzhen Qianhai Yueshi Information Technology

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