Artificial intelligence (AI) in Supply Chain and Logistics is the application of AI techniques and technologies to improve the efficiency, effectiveness, and sustainability of supply chain and logistics operations. AI can help supply chain and logistics professionals to solve complex problems, automate tasks, optimize decisions, enhance performance, and create value. AI can be applied to various aspects of supply chain and logistics, such as demand forecasting, inventory management, production planning, transportation routing, warehouse management, order fulfillment, customer service, and risk management.
麻豆原创 Analysis and Insights: Global Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创
The global Artificial intelligence (AI) in Supply Chain and Logistics market is projected to grow from US$ 1896 million in 2024 to US$ 3377.2 million by 2030, at a Compound Annual Growth Rate (CAGR) of 10.1% during the forecast period.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate 鈧�9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.48%, including software, hardware and services.
Report Covers:
This report presents an overview of global market for Artificial intelligence (AI) in Supply Chain and Logistics market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of Artificial intelligence (AI) in Supply Chain and Logistics, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Artificial intelligence (AI) in Supply Chain and Logistics, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Artificial intelligence (AI) in Supply Chain and Logistics revenue, market share and industry ranking of main companies, data from 2019 to 2024. Identification of the major stakeholders in the global Artificial intelligence (AI) in Supply Chain and Logistics market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for Artificial intelligence (AI) in Supply Chain and Logistics revenue, projected growth trends, production technology, application and end-user industry.
麻豆原创 Segmentation
By Company
IBM
Google
Microsoft Corporation
Amazon Web Services Inc
Oracle Corporation
SAP
Facebook
Alibaba
Baidu
Tencent
Segment by Type
Arti铿乧ial neural networks
Machine learning
Other
Segment by Application
Inventory control and planning
Transportation network design
Purchasing and supply management
Demand planning and forecasting
Other
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
China
Asia (excluding China)
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America, Middle East & Africa
Brazil
Mexico
Turkey
Israel
GCC Countries
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, 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: Revenue of Artificial intelligence (AI) in Supply Chain and Logistics in global and regional level. 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. 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 (AI) in Supply Chain and Logistics companies鈥� competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the revenue, 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 revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: North America (US & Canada) by Type, by Application and by country, revenue for each segment.
Chapter 7: Europe by Type, by Application and by country, revenue for each segment.
Chapter 8: China by Type, and by Application, revenue for each segment.
Chapter 9: Asia (excluding China) by Type, by Application and by region, revenue for each segment.
Chapter 10: Middle East, Africa, and Latin America by Type, by Application and by country, revenue for each segment.
Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Artificial intelligence (AI) in Supply Chain and Logistics revenue, gross margin, and recent development, etc.
Chapter 12: Analyst's Viewpoints/Conclusions
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1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size Growth Rate by Type, 2019 VS 2023 VS 2030
1.2.2 Arti铿乧ial neural networks
1.2.3 Machine learning
1.2.4 Other
1.3 麻豆原创 by Application
1.3.1 Global Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size Growth Rate by Application, 2019 VS 2023 VS 2030
1.3.2 Inventory control and planning
1.3.3 Transportation network design
1.3.4 Purchasing and supply management
1.3.5 Demand planning and forecasting
1.3.6 Other
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Perspective (2019-2030)
2.2 Global Artificial intelligence (AI) in Supply Chain and Logistics Growth Trends by Region
2.2.1 Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Artificial intelligence (AI) in Supply Chain and Logistics Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Artificial intelligence (AI) in Supply Chain and Logistics Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Dynamics
2.3.1 Artificial intelligence (AI) in Supply Chain and Logistics Industry Trends
2.3.2 Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Drivers
2.3.3 Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Challenges
2.3.4 Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue Artificial intelligence (AI) in Supply Chain and Logistics by Players
3.1.1 Global Artificial intelligence (AI) in Supply Chain and Logistics Revenue by Players (2019-2024)
3.1.2 Global Artificial intelligence (AI) in Supply Chain and Logistics Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of Artificial intelligence (AI) in Supply Chain and Logistics, Ranking by Revenue, 2022 VS 2023 VS 2024
3.4 Global Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Concentration Ratio
3.4.1 Global Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial intelligence (AI) in Supply Chain and Logistics Revenue in 2023
3.5 Global Key Players of Artificial intelligence (AI) in Supply Chain and Logistics Head office and Area Served
3.6 Global Key Players of Artificial intelligence (AI) in Supply Chain and Logistics, Product and Application
3.7 Global Key Players of Artificial intelligence (AI) in Supply Chain and Logistics, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial intelligence (AI) in Supply Chain and Logistics Breakdown Data by Type
4.1 Global Artificial intelligence (AI) in Supply Chain and Logistics Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Artificial intelligence (AI) in Supply Chain and Logistics Forecasted 麻豆原创 Size by Type (2025-2030)
5 Artificial intelligence (AI) in Supply Chain and Logistics Breakdown Data by Application
5.1 Global Artificial intelligence (AI) in Supply Chain and Logistics Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Artificial intelligence (AI) in Supply Chain and Logistics Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size (2019-2030)
6.2 North America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Type
6.2.1 North America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Type (2019-2024)
6.2.2 North America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Type (2025-2030)
6.2.3 North America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Share by Type (2019-2030)
6.3 North America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Application
6.3.1 North America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Application (2019-2024)
6.3.2 North America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Application (2025-2030)
6.3.3 North America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Share by Application (2019-2030)
6.4 North America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Country
6.4.1 North America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
6.4.2 North America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Country (2019-2024)
6.4.3 North America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Country (2025-2030)
6.4.4 U.S.
6.4.5 Canada
7 Europe
7.1 Europe Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size (2019-2030)
7.2 Europe Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Type
7.2.1 Europe Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Type (2019-2024)
7.2.2 Europe Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Type (2025-2030)
7.2.3 Europe Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Share by Type (2019-2030)
7.3 Europe Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Application
7.3.1 Europe Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Application (2019-2024)
7.3.2 Europe Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Application (2025-2030)
7.3.3 Europe Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Share by Application (2019-2030)
7.4 Europe Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Country
7.4.1 Europe Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
7.4.2 Europe Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Country (2019-2024)
7.4.3 Europe Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Country (2025-2030)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size (2019-2030)
8.2 China Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Type
8.2.1 China Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Type (2019-2024)
8.2.2 China Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Type (2025-2030)
8.2.3 China Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Share by Type (2019-2030)
8.3 China Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Application
8.3.1 China Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Application (2019-2024)
8.3.2 China Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Application (2025-2030)
8.3.3 China Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Share by Application (2019-2030)
9 Asia (excluding China)
9.1 Asia Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size (2019-2030)
9.2 Asia Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Type
9.2.1 Asia Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Type (2019-2024)
9.2.2 Asia Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Type (2025-2030)
9.2.3 Asia Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Share by Type (2019-2030)
9.3 Asia Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Application
9.3.1 Asia Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Application (2019-2024)
9.3.2 Asia Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Application (2025-2030)
9.3.3 Asia Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Share by Application (2019-2030)
9.4 Asia Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Region
9.4.1 Asia Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
9.4.2 Asia Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Region (2019-2024)
9.4.3 Asia Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Region (2025-2030)
9.4.4 Japan
9.4.5 South Korea
9.4.6 China Taiwan
9.4.7 Southeast Asia
9.4.8 India
9.4.9 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size (2019-2030)
10.2 Middle East, Africa, and Latin America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Type
10.2.1 Middle East, Africa, and Latin America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Type (2019-2024)
10.2.2 Middle East, Africa, and Latin America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Type (2025-2030)
10.2.3 Middle East, Africa, and Latin America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Share by Type (2019-2030)
10.3 Middle East, Africa, and Latin America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Application
10.3.1 Middle East, Africa, and Latin America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Application (2019-2024)
10.3.2 Middle East, Africa, and Latin America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Application (2025-2030)
10.3.3 Middle East, Africa, and Latin America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Share by Application (2019-2030)
10.4 Middle East, Africa, and Latin America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Country
10.4.1 Middle East, Africa, and Latin America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
10.4.2 Middle East, Africa, and Latin America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Country (2019-2024)
10.4.3 Middle East, Africa, and Latin America Artificial intelligence (AI) in Supply Chain and Logistics 麻豆原创 Size by Country (2025-2030)
10.4.4 Brazil
10.4.5 Mexico
10.4.6 Turkey
10.4.7 Saudi Arabia
10.4.8 Israel
10.4.9 GCC Countries
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Details
11.1.2 IBM Business Overview
11.1.3 IBM Artificial intelligence (AI) in Supply Chain and Logistics Introduction
11.1.4 IBM Revenue in Artificial intelligence (AI) in Supply Chain and Logistics Business (2019-2024)
11.1.5 IBM Recent Developments
11.2 Google
11.2.1 Google Company Details
11.2.2 Google Business Overview
11.2.3 Google Artificial intelligence (AI) in Supply Chain and Logistics Introduction
11.2.4 Google Revenue in Artificial intelligence (AI) in Supply Chain and Logistics Business (2019-2024)
11.2.5 Google Recent Developments
11.3 Microsoft Corporation
11.3.1 Microsoft Corporation Company Details
11.3.2 Microsoft Corporation Business Overview
11.3.3 Microsoft Corporation Artificial intelligence (AI) in Supply Chain and Logistics Introduction
11.3.4 Microsoft Corporation Revenue in Artificial intelligence (AI) in Supply Chain and Logistics Business (2019-2024)
11.3.5 Microsoft Corporation Recent Developments
11.4 Amazon Web Services Inc
11.4.1 Amazon Web Services Inc Company Details
11.4.2 Amazon Web Services Inc Business Overview
11.4.3 Amazon Web Services Inc Artificial intelligence (AI) in Supply Chain and Logistics Introduction
11.4.4 Amazon Web Services Inc Revenue in Artificial intelligence (AI) in Supply Chain and Logistics Business (2019-2024)
11.4.5 Amazon Web Services Inc Recent Developments
11.5 Oracle Corporation
11.5.1 Oracle Corporation Company Details
11.5.2 Oracle Corporation Business Overview
11.5.3 Oracle Corporation Artificial intelligence (AI) in Supply Chain and Logistics Introduction
11.5.4 Oracle Corporation Revenue in Artificial intelligence (AI) in Supply Chain and Logistics Business (2019-2024)
11.5.5 Oracle Corporation Recent Developments
11.6 SAP
11.6.1 SAP Company Details
11.6.2 SAP Business Overview
11.6.3 SAP Artificial intelligence (AI) in Supply Chain and Logistics Introduction
11.6.4 SAP Revenue in Artificial intelligence (AI) in Supply Chain and Logistics Business (2019-2024)
11.6.5 SAP Recent Developments
11.7 Facebook
11.7.1 Facebook Company Details
11.7.2 Facebook Business Overview
11.7.3 Facebook Artificial intelligence (AI) in Supply Chain and Logistics Introduction
11.7.4 Facebook Revenue in Artificial intelligence (AI) in Supply Chain and Logistics Business (2019-2024)
11.7.5 Facebook Recent Developments
11.8 Alibaba
11.8.1 Alibaba Company Details
11.8.2 Alibaba Business Overview
11.8.3 Alibaba Artificial intelligence (AI) in Supply Chain and Logistics Introduction
11.8.4 Alibaba Revenue in Artificial intelligence (AI) in Supply Chain and Logistics Business (2019-2024)
11.8.5 Alibaba Recent Developments
11.9 Baidu
11.9.1 Baidu Company Details
11.9.2 Baidu Business Overview
11.9.3 Baidu Artificial intelligence (AI) in Supply Chain and Logistics Introduction
11.9.4 Baidu Revenue in Artificial intelligence (AI) in Supply Chain and Logistics Business (2019-2024)
11.9.5 Baidu Recent Developments
11.10 Tencent
11.10.1 Tencent Company Details
11.10.2 Tencent Business Overview
11.10.3 Tencent Artificial intelligence (AI) in Supply Chain and Logistics Introduction
11.10.4 Tencent Revenue in Artificial intelligence (AI) in Supply Chain and Logistics Business (2019-2024)
11.10.5 Tencent Recent Developments
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
IBM
Google
Microsoft Corporation
Amazon Web Services Inc
Oracle Corporation
SAP
Facebook
Alibaba
Baidu
Tencent
听
听
*If Applicable.
