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Global Artificial intelligence (AI) in Supply Chain and Logistics Market Research Report 2024
Synopsis
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.
The global Artificial intelligence (AI) in Supply Chain and Logistics market was valued at US$ 1713 million in 2023 and is anticipated to reach US$ 3377.2 million by 2030, witnessing a CAGR of 10.1% during the forecast period 2024-2030.
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 €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$432.8 billion in 2022, a year-on-year increase of 19.48%, including software, hardware and services.
This report aims to provide a comprehensive presentation of the global market for Artificial intelligence (AI) in Supply Chain and Logistics, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial intelligence (AI) in Supply Chain and Logistics.
Report Scope
The Artificial intelligence (AI) in Supply Chain and Logistics market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Artificial intelligence (AI) in Supply Chain and Logistics 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 (AI) in Supply Chain and Logistics companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
IBM
Google
Microsoft Corporation
Amazon Web Services Inc
Oracle Corporation
SAP
Facebook
Alibaba
Baidu
Tencent
Segment by Type
Artificial 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
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
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 (AI) in Supply Chain and Logistics companies’ 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.
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.
The global Artificial intelligence (AI) in Supply Chain and Logistics market was valued at US$ 1713 million in 2023 and is anticipated to reach US$ 3377.2 million by 2030, witnessing a CAGR of 10.1% during the forecast period 2024-2030.
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 €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$432.8 billion in 2022, a year-on-year increase of 19.48%, including software, hardware and services.
This report aims to provide a comprehensive presentation of the global market for Artificial intelligence (AI) in Supply Chain and Logistics, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial intelligence (AI) in Supply Chain and Logistics.
Report Scope
The Artificial intelligence (AI) in Supply Chain and Logistics market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Artificial intelligence (AI) in Supply Chain and Logistics 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 (AI) in Supply Chain and Logistics companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
IBM
Microsoft Corporation
Amazon Web Services Inc
Oracle Corporation
SAP
Alibaba
Baidu
Tencent
Segment by Type
Artificial 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
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
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 (AI) in Supply Chain and Logistics companies’ 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.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Artificial intelligence (AI) in Supply Chain and Logistics Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Artificial neural networks
1.2.3 Machine learning
1.2.4 Other
1.3 Market by Application
1.3.1 Global Artificial intelligence (AI) in Supply Chain and Logistics Market Growth 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 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial intelligence (AI) in Supply Chain and Logistics Market Perspective (2019-2030)
2.2 Artificial intelligence (AI) in Supply Chain and Logistics Growth Trends by Region
2.2.1 Global Artificial intelligence (AI) in Supply Chain and Logistics Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Artificial intelligence (AI) in Supply Chain and Logistics Historic Market Size by Region (2019-2024)
2.2.3 Artificial intelligence (AI) in Supply Chain and Logistics Forecasted Market Size by Region (2025-2030)
2.3 Artificial intelligence (AI) in Supply Chain and Logistics Market 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 Market Drivers
2.3.3 Artificial intelligence (AI) in Supply Chain and Logistics Market Challenges
2.3.4 Artificial intelligence (AI) in Supply Chain and Logistics Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial intelligence (AI) in Supply Chain and Logistics Players by Revenue
3.1.1 Global Top Artificial intelligence (AI) in Supply Chain and Logistics Players by Revenue (2019-2024)
3.1.2 Global Artificial intelligence (AI) in Supply Chain and Logistics Revenue Market Share by Players (2019-2024)
3.2 Global Artificial intelligence (AI) in Supply Chain and Logistics Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial intelligence (AI) in Supply Chain and Logistics Revenue
3.4 Global Artificial intelligence (AI) in Supply Chain and Logistics Market Concentration Ratio
3.4.1 Global Artificial intelligence (AI) in Supply Chain and Logistics Market 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 Artificial intelligence (AI) in Supply Chain and Logistics Key Players Head office and Area Served
3.6 Key Players Artificial intelligence (AI) in Supply Chain and Logistics Product Solution and Service
3.7 Date of Enter into Artificial intelligence (AI) in Supply Chain and Logistics Market
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 Market Size by Type (2019-2024)
4.2 Global Artificial intelligence (AI) in Supply Chain and Logistics Forecasted Market 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 Market Size by Application (2019-2024)
5.2 Global Artificial intelligence (AI) in Supply Chain and Logistics Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Artificial intelligence (AI) in Supply Chain and Logistics Market Size (2019-2030)
6.2 North America Artificial intelligence (AI) in Supply Chain and Logistics Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Artificial intelligence (AI) in Supply Chain and Logistics Market Size by Country (2019-2024)
6.4 North America Artificial intelligence (AI) in Supply Chain and Logistics Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial intelligence (AI) in Supply Chain and Logistics Market Size (2019-2030)
7.2 Europe Artificial intelligence (AI) in Supply Chain and Logistics Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Artificial intelligence (AI) in Supply Chain and Logistics Market Size by Country (2019-2024)
7.4 Europe Artificial intelligence (AI) in Supply Chain and Logistics Market Size by Country (2025-2030)
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 (AI) in Supply Chain and Logistics Market Size (2019-2030)
8.2 Asia-Pacific Artificial intelligence (AI) in Supply Chain and Logistics Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Artificial intelligence (AI) in Supply Chain and Logistics Market Size by Region (2019-2024)
8.4 Asia-Pacific Artificial intelligence (AI) in Supply Chain and Logistics Market Size by Region (2025-2030)
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 (AI) in Supply Chain and Logistics Market Size (2019-2030)
9.2 Latin America Artificial intelligence (AI) in Supply Chain and Logistics Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Artificial intelligence (AI) in Supply Chain and Logistics Market Size by Country (2019-2024)
9.4 Latin America Artificial intelligence (AI) in Supply Chain and Logistics Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial intelligence (AI) in Supply Chain and Logistics Market Size (2019-2030)
10.2 Middle East & Africa Artificial intelligence (AI) in Supply Chain and Logistics Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Artificial intelligence (AI) in Supply Chain and Logistics Market Size by Country (2019-2024)
10.4 Middle East & Africa Artificial intelligence (AI) in Supply Chain and Logistics Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
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 Development
11.2 Google
11.2.1 Google Company Detail
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 Development
11.3 Microsoft Corporation
11.3.1 Microsoft Corporation Company Detail
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 Development
11.4 Amazon Web Services Inc
11.4.1 Amazon Web Services Inc Company Detail
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 Development
11.5 Oracle Corporation
11.5.1 Oracle Corporation Company Detail
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 Development
11.6 SAP
11.6.1 SAP Company Detail
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 Development
11.7 Facebook
11.7.1 Facebook Company Detail
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 Development
11.8 Alibaba
11.8.1 Alibaba Company Detail
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 Development
11.9 Baidu
11.9.1 Baidu Company Detail
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 Development
11.10 Tencent
11.10.1 Tencent Company Detail
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 Development
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
Published By : QY Research
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