The global Intelligent Warehousing Service market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
Intelligent warehousing service is a service that uses advanced technologies such as Internet of Things technology, artificial intelligence, and data analysis to intelligently manage and optimize warehousing and logistics operations. Through real-time monitoring, data analysis and automated control, intelligent warehousing services can improve warehousing efficiency, reduce costs, and improve the reliability and transparency of logistics operations. Further in-depth application of artificial intelligence and big data technology to achieve more accurate demand forecasting, inventory management, etc.
This report aims to provide a comprehensive presentation of the global market for Intelligent Warehousing 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 Intelligent Warehousing Service.
Report Scope
The Intelligent Warehousing Service 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 Intelligent Warehousing 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 Intelligent Warehousing Service 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.
Âé¶¹Ô´´ Segmentation
By Company
DHL International GmbH
XPO Logistics
Ryder System
NFI Industries
AmeriCold Logistics
FedEx Corp
Lineage Logistics Holding
NF Global Logistics
APM Terminals
DSV Panalpina
Kane Logistics
Segment by Type
Self-Built Warehouse
Third-Party Storage
Segment by Application
Medicine
Food and Drinks
Others
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 Intelligent Warehousing Service 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.
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1 Report Overview
1.1 Study Scope
1.2 Âé¶¹Ô´´ Analysis by Type
1.2.1 Global Intelligent Warehousing Service Âé¶¹Ô´´ Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Self-Built Warehouse
1.2.3 Third-Party Storage
1.3 Âé¶¹Ô´´ by Application
1.3.1 Global Intelligent Warehousing Service Âé¶¹Ô´´ Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Medicine
1.3.3 Food and Drinks
1.3.4 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Intelligent Warehousing Service Âé¶¹Ô´´ Perspective (2019-2030)
2.2 Intelligent Warehousing Service Growth Trends by Region
2.2.1 Global Intelligent Warehousing Service Âé¶¹Ô´´ Size by Region: 2019 VS 2023 VS 2030
2.2.2 Intelligent Warehousing Service Historic Âé¶¹Ô´´ Size by Region (2019-2024)
2.2.3 Intelligent Warehousing Service Forecasted Âé¶¹Ô´´ Size by Region (2025-2030)
2.3 Intelligent Warehousing Service Âé¶¹Ô´´ Dynamics
2.3.1 Intelligent Warehousing Service Industry Trends
2.3.2 Intelligent Warehousing Service Âé¶¹Ô´´ Drivers
2.3.3 Intelligent Warehousing Service Âé¶¹Ô´´ Challenges
2.3.4 Intelligent Warehousing Service Âé¶¹Ô´´ Restraints
3 Competition Landscape by Key Players
3.1 Global Top Intelligent Warehousing Service Players by Revenue
3.1.1 Global Top Intelligent Warehousing Service Players by Revenue (2019-2024)
3.1.2 Global Intelligent Warehousing Service Revenue Âé¶¹Ô´´ Share by Players (2019-2024)
3.2 Global Intelligent Warehousing Service Âé¶¹Ô´´ Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Intelligent Warehousing Service Revenue
3.4 Global Intelligent Warehousing Service Âé¶¹Ô´´ Concentration Ratio
3.4.1 Global Intelligent Warehousing Service Âé¶¹Ô´´ Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Intelligent Warehousing Service Revenue in 2023
3.5 Intelligent Warehousing Service Key Players Head office and Area Served
3.6 Key Players Intelligent Warehousing Service Product Solution and Service
3.7 Date of Enter into Intelligent Warehousing Service Âé¶¹Ô´´
3.8 Mergers & Acquisitions, Expansion Plans
4 Intelligent Warehousing Service Breakdown Data by Type
4.1 Global Intelligent Warehousing Service Historic Âé¶¹Ô´´ Size by Type (2019-2024)
4.2 Global Intelligent Warehousing Service Forecasted Âé¶¹Ô´´ Size by Type (2025-2030)
5 Intelligent Warehousing Service Breakdown Data by Application
5.1 Global Intelligent Warehousing Service Historic Âé¶¹Ô´´ Size by Application (2019-2024)
5.2 Global Intelligent Warehousing Service Forecasted Âé¶¹Ô´´ Size by Application (2025-2030)
6 North America
6.1 North America Intelligent Warehousing Service Âé¶¹Ô´´ Size (2019-2030)
6.2 North America Intelligent Warehousing Service Âé¶¹Ô´´ Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Intelligent Warehousing Service Âé¶¹Ô´´ Size by Country (2019-2024)
6.4 North America Intelligent Warehousing Service Âé¶¹Ô´´ Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Intelligent Warehousing Service Âé¶¹Ô´´ Size (2019-2030)
7.2 Europe Intelligent Warehousing Service Âé¶¹Ô´´ Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Intelligent Warehousing Service Âé¶¹Ô´´ Size by Country (2019-2024)
7.4 Europe Intelligent Warehousing Service Âé¶¹Ô´´ 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 Intelligent Warehousing Service Âé¶¹Ô´´ Size (2019-2030)
8.2 Asia-Pacific Intelligent Warehousing Service Âé¶¹Ô´´ Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Intelligent Warehousing Service Âé¶¹Ô´´ Size by Region (2019-2024)
8.4 Asia-Pacific Intelligent Warehousing Service Âé¶¹Ô´´ 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 Intelligent Warehousing Service Âé¶¹Ô´´ Size (2019-2030)
9.2 Latin America Intelligent Warehousing Service Âé¶¹Ô´´ Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Intelligent Warehousing Service Âé¶¹Ô´´ Size by Country (2019-2024)
9.4 Latin America Intelligent Warehousing Service Âé¶¹Ô´´ Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Intelligent Warehousing Service Âé¶¹Ô´´ Size (2019-2030)
10.2 Middle East & Africa Intelligent Warehousing Service Âé¶¹Ô´´ Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Intelligent Warehousing Service Âé¶¹Ô´´ Size by Country (2019-2024)
10.4 Middle East & Africa Intelligent Warehousing Service Âé¶¹Ô´´ Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 DHL International GmbH
11.1.1 DHL International GmbH Company Detail
11.1.2 DHL International GmbH Business Overview
11.1.3 DHL International GmbH Intelligent Warehousing Service Introduction
11.1.4 DHL International GmbH Revenue in Intelligent Warehousing Service Business (2019-2024)
11.1.5 DHL International GmbH Recent Development
11.2 XPO Logistics
11.2.1 XPO Logistics Company Detail
11.2.2 XPO Logistics Business Overview
11.2.3 XPO Logistics Intelligent Warehousing Service Introduction
11.2.4 XPO Logistics Revenue in Intelligent Warehousing Service Business (2019-2024)
11.2.5 XPO Logistics Recent Development
11.3 Ryder System
11.3.1 Ryder System Company Detail
11.3.2 Ryder System Business Overview
11.3.3 Ryder System Intelligent Warehousing Service Introduction
11.3.4 Ryder System Revenue in Intelligent Warehousing Service Business (2019-2024)
11.3.5 Ryder System Recent Development
11.4 NFI Industries
11.4.1 NFI Industries Company Detail
11.4.2 NFI Industries Business Overview
11.4.3 NFI Industries Intelligent Warehousing Service Introduction
11.4.4 NFI Industries Revenue in Intelligent Warehousing Service Business (2019-2024)
11.4.5 NFI Industries Recent Development
11.5 AmeriCold Logistics
11.5.1 AmeriCold Logistics Company Detail
11.5.2 AmeriCold Logistics Business Overview
11.5.3 AmeriCold Logistics Intelligent Warehousing Service Introduction
11.5.4 AmeriCold Logistics Revenue in Intelligent Warehousing Service Business (2019-2024)
11.5.5 AmeriCold Logistics Recent Development
11.6 FedEx Corp
11.6.1 FedEx Corp Company Detail
11.6.2 FedEx Corp Business Overview
11.6.3 FedEx Corp Intelligent Warehousing Service Introduction
11.6.4 FedEx Corp Revenue in Intelligent Warehousing Service Business (2019-2024)
11.6.5 FedEx Corp Recent Development
11.7 Lineage Logistics Holding
11.7.1 Lineage Logistics Holding Company Detail
11.7.2 Lineage Logistics Holding Business Overview
11.7.3 Lineage Logistics Holding Intelligent Warehousing Service Introduction
11.7.4 Lineage Logistics Holding Revenue in Intelligent Warehousing Service Business (2019-2024)
11.7.5 Lineage Logistics Holding Recent Development
11.8 NF Global Logistics
11.8.1 NF Global Logistics Company Detail
11.8.2 NF Global Logistics Business Overview
11.8.3 NF Global Logistics Intelligent Warehousing Service Introduction
11.8.4 NF Global Logistics Revenue in Intelligent Warehousing Service Business (2019-2024)
11.8.5 NF Global Logistics Recent Development
11.9 APM Terminals
11.9.1 APM Terminals Company Detail
11.9.2 APM Terminals Business Overview
11.9.3 APM Terminals Intelligent Warehousing Service Introduction
11.9.4 APM Terminals Revenue in Intelligent Warehousing Service Business (2019-2024)
11.9.5 APM Terminals Recent Development
11.10 DSV Panalpina
11.10.1 DSV Panalpina Company Detail
11.10.2 DSV Panalpina Business Overview
11.10.3 DSV Panalpina Intelligent Warehousing Service Introduction
11.10.4 DSV Panalpina Revenue in Intelligent Warehousing Service Business (2019-2024)
11.10.5 DSV Panalpina Recent Development
11.11 Kane Logistics
11.11.1 Kane Logistics Company Detail
11.11.2 Kane Logistics Business Overview
11.11.3 Kane Logistics Intelligent Warehousing Service Introduction
11.11.4 Kane Logistics Revenue in Intelligent Warehousing Service Business (2019-2024)
11.11.5 Kane Logistics 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
DHL International GmbH
XPO Logistics
Ryder System
NFI Industries
AmeriCold Logistics
FedEx Corp
Lineage Logistics Holding
NF Global Logistics
APM Terminals
DSV Panalpina
Kane Logistics
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*If Applicable.