Artificial intelligence (AI) in Logistics - Global 麻豆原创 Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB511246683

Publication Date:

November 8, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Artificial intelligence (AI) in Logistics was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % 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 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$432.8 billion in 2022, a year-on-year increase of 19.62%, including software, hardware and services.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial intelligence (AI) in Logistics, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Artificial intelligence (AI) in Logistics by region & country, by Type, and by Application.
The Artificial intelligence (AI) in Logistics market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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 Logistics.
麻豆原创 Segmentation
By Company
IBM
Google
Microsoft Corporation
Amazon Web Services Inc
Oracle Corporation
SAP
Facebook
Alibaba
Baidu
Segment by Type:
Arti铿乧ial neural networks
Machine learning
Other
Segment by Application
Nventory 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
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Artificial intelligence (AI) in Logistics manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Artificial intelligence (AI) in Logistics in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Artificial intelligence (AI) in Logistics in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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

Table Of Contents:

1 麻豆原创 Overview
1.1 Artificial intelligence (AI) in Logistics Product Introduction
1.2 Global Artificial intelligence (AI) in Logistics 麻豆原创 Size Forecast
1.3 Artificial intelligence (AI) in Logistics 麻豆原创 Trends & Drivers
1.3.1 Artificial intelligence (AI) in Logistics Industry Trends
1.3.2 Artificial intelligence (AI) in Logistics 麻豆原创 Drivers & Opportunity
1.3.3 Artificial intelligence (AI) in Logistics 麻豆原创 Challenges
1.3.4 Artificial intelligence (AI) in Logistics 麻豆原创 Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Artificial intelligence (AI) in Logistics Players Revenue Ranking (2023)
2.2 Global Artificial intelligence (AI) in Logistics Revenue by Company (2019-2024)
2.3 Key Companies Artificial intelligence (AI) in Logistics Manufacturing Base Distribution and Headquarters
2.4 Key Companies Artificial intelligence (AI) in Logistics Product Offered
2.5 Key Companies Time to Begin Mass Production of Artificial intelligence (AI) in Logistics
2.6 Artificial intelligence (AI) in Logistics 麻豆原创 Competitive Analysis
2.6.1 Artificial intelligence (AI) in Logistics 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Artificial intelligence (AI) in Logistics Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Artificial intelligence (AI) in Logistics as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Arti铿乧ial neural networks
3.1.2 Machine learning
3.1.3 Other
3.2 Global Artificial intelligence (AI) in Logistics Sales Value by Type
3.2.1 Global Artificial intelligence (AI) in Logistics Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Artificial intelligence (AI) in Logistics Sales Value, by Type (2019-2030)
3.2.3 Global Artificial intelligence (AI) in Logistics Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Nventory control and planning
4.1.2 Transportation network design
4.1.3 Purchasing and supply management
4.1.4 Demand planning and forecasting
4.1.5 Other
4.2 Global Artificial intelligence (AI) in Logistics Sales Value by Application
4.2.1 Global Artificial intelligence (AI) in Logistics Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Artificial intelligence (AI) in Logistics Sales Value, by Application (2019-2030)
4.2.3 Global Artificial intelligence (AI) in Logistics Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Artificial intelligence (AI) in Logistics Sales Value by Region
5.1.1 Global Artificial intelligence (AI) in Logistics Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Artificial intelligence (AI) in Logistics Sales Value by Region (2019-2024)
5.1.3 Global Artificial intelligence (AI) in Logistics Sales Value by Region (2025-2030)
5.1.4 Global Artificial intelligence (AI) in Logistics Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Artificial intelligence (AI) in Logistics Sales Value, 2019-2030
5.2.2 North America Artificial intelligence (AI) in Logistics Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Artificial intelligence (AI) in Logistics Sales Value, 2019-2030
5.3.2 Europe Artificial intelligence (AI) in Logistics Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Artificial intelligence (AI) in Logistics Sales Value, 2019-2030
5.4.2 Asia Pacific Artificial intelligence (AI) in Logistics Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Artificial intelligence (AI) in Logistics Sales Value, 2019-2030
5.5.2 South America Artificial intelligence (AI) in Logistics Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Artificial intelligence (AI) in Logistics Sales Value, 2019-2030
5.6.2 Middle East & Africa Artificial intelligence (AI) in Logistics Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial intelligence (AI) in Logistics Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Artificial intelligence (AI) in Logistics Sales Value
6.3 United States
6.3.1 United States Artificial intelligence (AI) in Logistics Sales Value, 2019-2030
6.3.2 United States Artificial intelligence (AI) in Logistics Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Artificial intelligence (AI) in Logistics Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Artificial intelligence (AI) in Logistics Sales Value, 2019-2030
6.4.2 Europe Artificial intelligence (AI) in Logistics Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Artificial intelligence (AI) in Logistics Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Artificial intelligence (AI) in Logistics Sales Value, 2019-2030
6.5.2 China Artificial intelligence (AI) in Logistics Sales Value by Type (%), 2023 VS 2030
6.5.3 China Artificial intelligence (AI) in Logistics Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Artificial intelligence (AI) in Logistics Sales Value, 2019-2030
6.6.2 Japan Artificial intelligence (AI) in Logistics Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Artificial intelligence (AI) in Logistics Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Artificial intelligence (AI) in Logistics Sales Value, 2019-2030
6.7.2 South Korea Artificial intelligence (AI) in Logistics Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Artificial intelligence (AI) in Logistics Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial intelligence (AI) in Logistics Sales Value, 2019-2030
6.8.2 Southeast Asia Artificial intelligence (AI) in Logistics Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Artificial intelligence (AI) in Logistics Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Artificial intelligence (AI) in Logistics Sales Value, 2019-2030
6.9.2 India Artificial intelligence (AI) in Logistics Sales Value by Type (%), 2023 VS 2030
6.9.3 India Artificial intelligence (AI) in Logistics Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 IBM
7.1.1 IBM Profile
7.1.2 IBM Main Business
7.1.3 IBM Artificial intelligence (AI) in Logistics Products, Services and Solutions
7.1.4 IBM Artificial intelligence (AI) in Logistics Revenue (US$ Million) & (2019-2024)
7.1.5 IBM Recent Developments
7.2 Google
7.2.1 Google Profile
7.2.2 Google Main Business
7.2.3 Google Artificial intelligence (AI) in Logistics Products, Services and Solutions
7.2.4 Google Artificial intelligence (AI) in Logistics Revenue (US$ Million) & (2019-2024)
7.2.5 Google Recent Developments
7.3 Microsoft Corporation
7.3.1 Microsoft Corporation Profile
7.3.2 Microsoft Corporation Main Business
7.3.3 Microsoft Corporation Artificial intelligence (AI) in Logistics Products, Services and Solutions
7.3.4 Microsoft Corporation Artificial intelligence (AI) in Logistics Revenue (US$ Million) & (2019-2024)
7.3.5 Amazon Web Services Inc Recent Developments
7.4 Amazon Web Services Inc
7.4.1 Amazon Web Services Inc Profile
7.4.2 Amazon Web Services Inc Main Business
7.4.3 Amazon Web Services Inc Artificial intelligence (AI) in Logistics Products, Services and Solutions
7.4.4 Amazon Web Services Inc Artificial intelligence (AI) in Logistics Revenue (US$ Million) & (2019-2024)
7.4.5 Amazon Web Services Inc Recent Developments
7.5 Oracle Corporation
7.5.1 Oracle Corporation Profile
7.5.2 Oracle Corporation Main Business
7.5.3 Oracle Corporation Artificial intelligence (AI) in Logistics Products, Services and Solutions
7.5.4 Oracle Corporation Artificial intelligence (AI) in Logistics Revenue (US$ Million) & (2019-2024)
7.5.5 Oracle Corporation Recent Developments
7.6 SAP
7.6.1 SAP Profile
7.6.2 SAP Main Business
7.6.3 SAP Artificial intelligence (AI) in Logistics Products, Services and Solutions
7.6.4 SAP Artificial intelligence (AI) in Logistics Revenue (US$ Million) & (2019-2024)
7.6.5 SAP Recent Developments
7.7 Facebook
7.7.1 Facebook Profile
7.7.2 Facebook Main Business
7.7.3 Facebook Artificial intelligence (AI) in Logistics Products, Services and Solutions
7.7.4 Facebook Artificial intelligence (AI) in Logistics Revenue (US$ Million) & (2019-2024)
7.7.5 Facebook Recent Developments
7.8 Alibaba
7.8.1 Alibaba Profile
7.8.2 Alibaba Main Business
7.8.3 Alibaba Artificial intelligence (AI) in Logistics Products, Services and Solutions
7.8.4 Alibaba Artificial intelligence (AI) in Logistics Revenue (US$ Million) & (2019-2024)
7.8.5 Alibaba Recent Developments
7.9 Baidu
7.9.1 Baidu Profile
7.9.2 Baidu Main Business
7.9.3 Baidu Artificial intelligence (AI) in Logistics Products, Services and Solutions
7.9.4 Baidu Artificial intelligence (AI) in Logistics Revenue (US$ Million) & (2019-2024)
7.9.5 Baidu Recent Developments
8 Industry Chain Analysis
8.1 Artificial intelligence (AI) in Logistics Industrial Chain
8.2 Artificial intelligence (AI) in Logistics Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Artificial intelligence (AI) in Logistics Sales Model
8.5.2 Sales Channel
8.5.3 Artificial intelligence (AI) in Logistics Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

IBM
Google
Microsoft Corporation
Amazon Web Services Inc
Oracle Corporation
SAP
Facebook
Alibaba
Baidu

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