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According to our Researcherlatest study, the global Artificial intelligence (AI) in Supply Chain and Logistics market size was valued at USD 1762.6 million in 2023 and is forecast to a readjusted size of USD 3362.4 million by 2030 with a CAGR of 9.7% during review period.
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.
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.
The Global Info Research report includes an overview of the development of the Artificial intelligence (AI) in Supply Chain and Logistics industry chain, the market status of Inventory control and planning (Artificial neural networks, Machine learning), Transportation network design (Artificial neural networks, Machine learning), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Artificial intelligence (AI) in Supply Chain and Logistics.
Regionally, the report analyzes the Artificial intelligence (AI) in Supply Chain and Logistics markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global Artificial intelligence (AI) in Supply Chain and Logistics market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the Artificial intelligence (AI) in Supply Chain and Logistics market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the Artificial intelligence (AI) in Supply Chain and Logistics industry.
The report involves analyzing the market at a macro level:
Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Artificial neural networks, Machine learning).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the Artificial intelligence (AI) in Supply Chain and Logistics market.
Regional Analysis: The report involves examining the Artificial intelligence (AI) in Supply Chain and Logistics market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the Artificial intelligence (AI) in Supply Chain and Logistics market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to Artificial intelligence (AI) in Supply Chain and Logistics:
Company Analysis: Report covers individual Artificial intelligence (AI) in Supply Chain and Logistics players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards Artificial intelligence (AI) in Supply Chain and Logistics This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Inventory control and planning, Transportation network design).
Technology Analysis: Report covers specific technologies relevant to Artificial intelligence (AI) in Supply Chain and Logistics. It assesses the current state, advancements, and potential future developments in Artificial intelligence (AI) in Supply Chain and Logistics areas.
Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
Market Segmentation
Artificial intelligence (AI) in Supply Chain and Logistics market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Market segment by Type
Artificial neural networks
Machine learning
Other
Market segment by Application
Inventory control and planning
Transportation network design
Purchasing and supply management
Demand planning and forecasting
Other
Market segment by players, this report covers
IBM
Google
Microsoft Corporation
Amazon Web Services Inc
Oracle Corporation
SAP
Facebook
Alibaba
Baidu
Tencent
Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Artificial intelligence (AI) in Supply Chain and Logistics product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Artificial intelligence (AI) in Supply Chain and Logistics, with revenue, gross margin and global market share of Artificial intelligence (AI) in Supply Chain and Logistics from 2019 to 2024.
Chapter 3, the Artificial intelligence (AI) in Supply Chain and Logistics competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Artificial intelligence (AI) in Supply Chain and Logistics market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Artificial intelligence (AI) in Supply Chain and Logistics.
Chapter 13, to describe Artificial intelligence (AI) in Supply Chain and Logistics research findings and conclusion.
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.
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.
The Global Info Research report includes an overview of the development of the Artificial intelligence (AI) in Supply Chain and Logistics industry chain, the market status of Inventory control and planning (Artificial neural networks, Machine learning), Transportation network design (Artificial neural networks, Machine learning), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Artificial intelligence (AI) in Supply Chain and Logistics.
Regionally, the report analyzes the Artificial intelligence (AI) in Supply Chain and Logistics markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global Artificial intelligence (AI) in Supply Chain and Logistics market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the Artificial intelligence (AI) in Supply Chain and Logistics market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the Artificial intelligence (AI) in Supply Chain and Logistics industry.
The report involves analyzing the market at a macro level:
Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Artificial neural networks, Machine learning).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the Artificial intelligence (AI) in Supply Chain and Logistics market.
Regional Analysis: The report involves examining the Artificial intelligence (AI) in Supply Chain and Logistics market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the Artificial intelligence (AI) in Supply Chain and Logistics market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to Artificial intelligence (AI) in Supply Chain and Logistics:
Company Analysis: Report covers individual Artificial intelligence (AI) in Supply Chain and Logistics players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards Artificial intelligence (AI) in Supply Chain and Logistics This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Inventory control and planning, Transportation network design).
Technology Analysis: Report covers specific technologies relevant to Artificial intelligence (AI) in Supply Chain and Logistics. It assesses the current state, advancements, and potential future developments in Artificial intelligence (AI) in Supply Chain and Logistics areas.
Competitive Landscape
: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the Artificial intelligence (AI) in Supply Chain and Logistics market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
Market Segmentation
Artificial intelligence (AI) in Supply Chain and Logistics market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Market segment by Type
Artificial neural networks
Machine learning
Other
Market segment by Application
Inventory control and planning
Transportation network design
Purchasing and supply management
Demand planning and forecasting
Other
Market segment by players, this report covers
IBM
Microsoft Corporation
Amazon Web Services Inc
Oracle Corporation
SAP
Alibaba
Baidu
Tencent
Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Artificial intelligence (AI) in Supply Chain and Logistics product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Artificial intelligence (AI) in Supply Chain and Logistics, with revenue, gross margin and global market share of Artificial intelligence (AI) in Supply Chain and Logistics from 2019 to 2024.
Chapter 3, the Artificial intelligence (AI) in Supply Chain and Logistics competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Artificial intelligence (AI) in Supply Chain and Logistics market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Artificial intelligence (AI) in Supply Chain and Logistics.
Chapter 13, to describe Artificial intelligence (AI) in Supply Chain and Logistics research findings and conclusion.
Frequently Asked Questions
This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
- By product type
- By End User/Applications
- By Technology
- By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
