Intelligent Warehousing Service - Global 麻豆原创 Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB510247130

Publication Date:

October 3, 2024

Pages:

105

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Intelligent Warehousing Service 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.
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.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Intelligent Warehousing Service, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Intelligent Warehousing Service by region & country, by Type, and by Application.
The Intelligent Warehousing Service 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 Intelligent Warehousing Service.
麻豆原创 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
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 Intelligent Warehousing Service 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 Intelligent Warehousing Service 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 Intelligent Warehousing Service 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 Intelligent Warehousing Service Product Introduction
1.2 Global Intelligent Warehousing Service 麻豆原创 Size Forecast
1.3 Intelligent Warehousing Service 麻豆原创 Trends & Drivers
1.3.1 Intelligent Warehousing Service Industry Trends
1.3.2 Intelligent Warehousing Service 麻豆原创 Drivers & Opportunity
1.3.3 Intelligent Warehousing Service 麻豆原创 Challenges
1.3.4 Intelligent Warehousing Service 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 Intelligent Warehousing Service Players Revenue Ranking (2023)
2.2 Global Intelligent Warehousing Service Revenue by Company (2019-2024)
2.3 Key Companies Intelligent Warehousing Service Manufacturing Base Distribution and Headquarters
2.4 Key Companies Intelligent Warehousing Service Product Offered
2.5 Key Companies Time to Begin Mass Production of Intelligent Warehousing Service
2.6 Intelligent Warehousing Service 麻豆原创 Competitive Analysis
2.6.1 Intelligent Warehousing Service 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Intelligent Warehousing Service Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Intelligent Warehousing Service as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Self-Built Warehouse
3.1.2 Third-Party Storage
3.2 Global Intelligent Warehousing Service Sales Value by Type
3.2.1 Global Intelligent Warehousing Service Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Intelligent Warehousing Service Sales Value, by Type (2019-2030)
3.2.3 Global Intelligent Warehousing Service Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Medicine
4.1.2 Food and Drinks
4.1.3 Others
4.2 Global Intelligent Warehousing Service Sales Value by Application
4.2.1 Global Intelligent Warehousing Service Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Intelligent Warehousing Service Sales Value, by Application (2019-2030)
4.2.3 Global Intelligent Warehousing Service Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Intelligent Warehousing Service Sales Value by Region
5.1.1 Global Intelligent Warehousing Service Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Intelligent Warehousing Service Sales Value by Region (2019-2024)
5.1.3 Global Intelligent Warehousing Service Sales Value by Region (2025-2030)
5.1.4 Global Intelligent Warehousing Service Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Intelligent Warehousing Service Sales Value, 2019-2030
5.2.2 North America Intelligent Warehousing Service Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Intelligent Warehousing Service Sales Value, 2019-2030
5.3.2 Europe Intelligent Warehousing Service Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Intelligent Warehousing Service Sales Value, 2019-2030
5.4.2 Asia Pacific Intelligent Warehousing Service Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Intelligent Warehousing Service Sales Value, 2019-2030
5.5.2 South America Intelligent Warehousing Service Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Intelligent Warehousing Service Sales Value, 2019-2030
5.6.2 Middle East & Africa Intelligent Warehousing Service Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Intelligent Warehousing Service Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Intelligent Warehousing Service Sales Value
6.3 United States
6.3.1 United States Intelligent Warehousing Service Sales Value, 2019-2030
6.3.2 United States Intelligent Warehousing Service Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Intelligent Warehousing Service Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Intelligent Warehousing Service Sales Value, 2019-2030
6.4.2 Europe Intelligent Warehousing Service Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Intelligent Warehousing Service Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Intelligent Warehousing Service Sales Value, 2019-2030
6.5.2 China Intelligent Warehousing Service Sales Value by Type (%), 2023 VS 2030
6.5.3 China Intelligent Warehousing Service Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Intelligent Warehousing Service Sales Value, 2019-2030
6.6.2 Japan Intelligent Warehousing Service Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Intelligent Warehousing Service Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Intelligent Warehousing Service Sales Value, 2019-2030
6.7.2 South Korea Intelligent Warehousing Service Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Intelligent Warehousing Service Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Intelligent Warehousing Service Sales Value, 2019-2030
6.8.2 Southeast Asia Intelligent Warehousing Service Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Intelligent Warehousing Service Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Intelligent Warehousing Service Sales Value, 2019-2030
6.9.2 India Intelligent Warehousing Service Sales Value by Type (%), 2023 VS 2030
6.9.3 India Intelligent Warehousing Service Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 DHL International GmbH
7.1.1 DHL International GmbH Profile
7.1.2 DHL International GmbH Main Business
7.1.3 DHL International GmbH Intelligent Warehousing Service Products, Services and Solutions
7.1.4 DHL International GmbH Intelligent Warehousing Service Revenue (US$ Million) & (2019-2024)
7.1.5 DHL International GmbH Recent Developments
7.2 XPO Logistics
7.2.1 XPO Logistics Profile
7.2.2 XPO Logistics Main Business
7.2.3 XPO Logistics Intelligent Warehousing Service Products, Services and Solutions
7.2.4 XPO Logistics Intelligent Warehousing Service Revenue (US$ Million) & (2019-2024)
7.2.5 XPO Logistics Recent Developments
7.3 Ryder System
7.3.1 Ryder System Profile
7.3.2 Ryder System Main Business
7.3.3 Ryder System Intelligent Warehousing Service Products, Services and Solutions
7.3.4 Ryder System Intelligent Warehousing Service Revenue (US$ Million) & (2019-2024)
7.3.5 NFI Industries Recent Developments
7.4 NFI Industries
7.4.1 NFI Industries Profile
7.4.2 NFI Industries Main Business
7.4.3 NFI Industries Intelligent Warehousing Service Products, Services and Solutions
7.4.4 NFI Industries Intelligent Warehousing Service Revenue (US$ Million) & (2019-2024)
7.4.5 NFI Industries Recent Developments
7.5 AmeriCold Logistics
7.5.1 AmeriCold Logistics Profile
7.5.2 AmeriCold Logistics Main Business
7.5.3 AmeriCold Logistics Intelligent Warehousing Service Products, Services and Solutions
7.5.4 AmeriCold Logistics Intelligent Warehousing Service Revenue (US$ Million) & (2019-2024)
7.5.5 AmeriCold Logistics Recent Developments
7.6 FedEx Corp
7.6.1 FedEx Corp Profile
7.6.2 FedEx Corp Main Business
7.6.3 FedEx Corp Intelligent Warehousing Service Products, Services and Solutions
7.6.4 FedEx Corp Intelligent Warehousing Service Revenue (US$ Million) & (2019-2024)
7.6.5 FedEx Corp Recent Developments
7.7 Lineage Logistics Holding
7.7.1 Lineage Logistics Holding Profile
7.7.2 Lineage Logistics Holding Main Business
7.7.3 Lineage Logistics Holding Intelligent Warehousing Service Products, Services and Solutions
7.7.4 Lineage Logistics Holding Intelligent Warehousing Service Revenue (US$ Million) & (2019-2024)
7.7.5 Lineage Logistics Holding Recent Developments
7.8 NF Global Logistics
7.8.1 NF Global Logistics Profile
7.8.2 NF Global Logistics Main Business
7.8.3 NF Global Logistics Intelligent Warehousing Service Products, Services and Solutions
7.8.4 NF Global Logistics Intelligent Warehousing Service Revenue (US$ Million) & (2019-2024)
7.8.5 NF Global Logistics Recent Developments
7.9 APM Terminals
7.9.1 APM Terminals Profile
7.9.2 APM Terminals Main Business
7.9.3 APM Terminals Intelligent Warehousing Service Products, Services and Solutions
7.9.4 APM Terminals Intelligent Warehousing Service Revenue (US$ Million) & (2019-2024)
7.9.5 APM Terminals Recent Developments
7.10 DSV Panalpina
7.10.1 DSV Panalpina Profile
7.10.2 DSV Panalpina Main Business
7.10.3 DSV Panalpina Intelligent Warehousing Service Products, Services and Solutions
7.10.4 DSV Panalpina Intelligent Warehousing Service Revenue (US$ Million) & (2019-2024)
7.10.5 DSV Panalpina Recent Developments
7.11 Kane Logistics
7.11.1 Kane Logistics Profile
7.11.2 Kane Logistics Main Business
7.11.3 Kane Logistics Intelligent Warehousing Service Products, Services and Solutions
7.11.4 Kane Logistics Intelligent Warehousing Service Revenue (US$ Million) & (2019-2024)
7.11.5 Kane Logistics Recent Developments
8 Industry Chain Analysis
8.1 Intelligent Warehousing Service Industrial Chain
8.2 Intelligent Warehousing Service 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 Intelligent Warehousing Service Sales Model
8.5.2 Sales Channel
8.5.3 Intelligent Warehousing Service 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:

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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