Retail and Apparel Smart Supply Chain - Global 麻豆原创 Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB510241418

Publication Date:

October 14, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Retail and Apparel Smart Supply Chain 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.
North American market for Retail and Apparel Smart Supply Chain was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Retail and Apparel Smart Supply Chain was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for Retail and Apparel Smart Supply Chain was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of Retail and Apparel Smart Supply Chain include Alibaba, IBM, SAP, JDA Software, Oracle, PTC, Manhattan Associates and Infor, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Retail and Apparel Smart Supply Chain, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Retail and Apparel Smart Supply Chain by region & country, by Type, and by Application.
The Retail and Apparel Smart Supply Chain 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 Retail and Apparel Smart Supply Chain.
麻豆原创 Segmentation
By Company
Alibaba
IBM
SAP
JDA Software
Oracle
PTC
Manhattan Associates
Infor
Segment by Type:
Radio-frequency Identification
Blockchain
Automated Warehousing
Delivery Drones and Robots
Segment by Application
Inventory Management
Demand Forecasting
Order Management
Logistics and Transportation Management
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 Retail and Apparel Smart Supply Chain 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 Retail and Apparel Smart Supply Chain 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 Retail and Apparel Smart Supply Chain 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 Retail and Apparel Smart Supply Chain Product Introduction
1.2 Global Retail and Apparel Smart Supply Chain 麻豆原创 Size Forecast
1.3 Retail and Apparel Smart Supply Chain 麻豆原创 Trends & Drivers
1.3.1 Retail and Apparel Smart Supply Chain Industry Trends
1.3.2 Retail and Apparel Smart Supply Chain 麻豆原创 Drivers & Opportunity
1.3.3 Retail and Apparel Smart Supply Chain 麻豆原创 Challenges
1.3.4 Retail and Apparel Smart Supply Chain 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 Retail and Apparel Smart Supply Chain Players Revenue Ranking (2023)
2.2 Global Retail and Apparel Smart Supply Chain Revenue by Company (2019-2024)
2.3 Key Companies Retail and Apparel Smart Supply Chain Manufacturing Base Distribution and Headquarters
2.4 Key Companies Retail and Apparel Smart Supply Chain Product Offered
2.5 Key Companies Time to Begin Mass Production of Retail and Apparel Smart Supply Chain
2.6 Retail and Apparel Smart Supply Chain 麻豆原创 Competitive Analysis
2.6.1 Retail and Apparel Smart Supply Chain 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Retail and Apparel Smart Supply Chain Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Retail and Apparel Smart Supply Chain as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Radio-frequency Identification
3.1.2 Blockchain
3.1.3 Automated Warehousing
3.1.4 Delivery Drones and Robots
3.2 Global Retail and Apparel Smart Supply Chain Sales Value by Type
3.2.1 Global Retail and Apparel Smart Supply Chain Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Retail and Apparel Smart Supply Chain Sales Value, by Type (2019-2030)
3.2.3 Global Retail and Apparel Smart Supply Chain Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Inventory Management
4.1.2 Demand Forecasting
4.1.3 Order Management
4.1.4 Logistics and Transportation Management
4.2 Global Retail and Apparel Smart Supply Chain Sales Value by Application
4.2.1 Global Retail and Apparel Smart Supply Chain Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Retail and Apparel Smart Supply Chain Sales Value, by Application (2019-2030)
4.2.3 Global Retail and Apparel Smart Supply Chain Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Retail and Apparel Smart Supply Chain Sales Value by Region
5.1.1 Global Retail and Apparel Smart Supply Chain Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Retail and Apparel Smart Supply Chain Sales Value by Region (2019-2024)
5.1.3 Global Retail and Apparel Smart Supply Chain Sales Value by Region (2025-2030)
5.1.4 Global Retail and Apparel Smart Supply Chain Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Retail and Apparel Smart Supply Chain Sales Value, 2019-2030
5.2.2 North America Retail and Apparel Smart Supply Chain Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Retail and Apparel Smart Supply Chain Sales Value, 2019-2030
5.3.2 Europe Retail and Apparel Smart Supply Chain Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Retail and Apparel Smart Supply Chain Sales Value, 2019-2030
5.4.2 Asia Pacific Retail and Apparel Smart Supply Chain Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Retail and Apparel Smart Supply Chain Sales Value, 2019-2030
5.5.2 South America Retail and Apparel Smart Supply Chain Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Retail and Apparel Smart Supply Chain Sales Value, 2019-2030
5.6.2 Middle East & Africa Retail and Apparel Smart Supply Chain Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Retail and Apparel Smart Supply Chain Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Retail and Apparel Smart Supply Chain Sales Value
6.3 United States
6.3.1 United States Retail and Apparel Smart Supply Chain Sales Value, 2019-2030
6.3.2 United States Retail and Apparel Smart Supply Chain Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Retail and Apparel Smart Supply Chain Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Retail and Apparel Smart Supply Chain Sales Value, 2019-2030
6.4.2 Europe Retail and Apparel Smart Supply Chain Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Retail and Apparel Smart Supply Chain Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Retail and Apparel Smart Supply Chain Sales Value, 2019-2030
6.5.2 China Retail and Apparel Smart Supply Chain Sales Value by Type (%), 2023 VS 2030
6.5.3 China Retail and Apparel Smart Supply Chain Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Retail and Apparel Smart Supply Chain Sales Value, 2019-2030
6.6.2 Japan Retail and Apparel Smart Supply Chain Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Retail and Apparel Smart Supply Chain Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Retail and Apparel Smart Supply Chain Sales Value, 2019-2030
6.7.2 South Korea Retail and Apparel Smart Supply Chain Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Retail and Apparel Smart Supply Chain Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Retail and Apparel Smart Supply Chain Sales Value, 2019-2030
6.8.2 Southeast Asia Retail and Apparel Smart Supply Chain Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Retail and Apparel Smart Supply Chain Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Retail and Apparel Smart Supply Chain Sales Value, 2019-2030
6.9.2 India Retail and Apparel Smart Supply Chain Sales Value by Type (%), 2023 VS 2030
6.9.3 India Retail and Apparel Smart Supply Chain Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Alibaba
7.1.1 Alibaba Profile
7.1.2 Alibaba Main Business
7.1.3 Alibaba Retail and Apparel Smart Supply Chain Products, Services and Solutions
7.1.4 Alibaba Retail and Apparel Smart Supply Chain Revenue (US$ Million) & (2019-2024)
7.1.5 Alibaba Recent Developments
7.2 IBM
7.2.1 IBM Profile
7.2.2 IBM Main Business
7.2.3 IBM Retail and Apparel Smart Supply Chain Products, Services and Solutions
7.2.4 IBM Retail and Apparel Smart Supply Chain Revenue (US$ Million) & (2019-2024)
7.2.5 IBM Recent Developments
7.3 SAP
7.3.1 SAP Profile
7.3.2 SAP Main Business
7.3.3 SAP Retail and Apparel Smart Supply Chain Products, Services and Solutions
7.3.4 SAP Retail and Apparel Smart Supply Chain Revenue (US$ Million) & (2019-2024)
7.3.5 JDA Software Recent Developments
7.4 JDA Software
7.4.1 JDA Software Profile
7.4.2 JDA Software Main Business
7.4.3 JDA Software Retail and Apparel Smart Supply Chain Products, Services and Solutions
7.4.4 JDA Software Retail and Apparel Smart Supply Chain Revenue (US$ Million) & (2019-2024)
7.4.5 JDA Software Recent Developments
7.5 Oracle
7.5.1 Oracle Profile
7.5.2 Oracle Main Business
7.5.3 Oracle Retail and Apparel Smart Supply Chain Products, Services and Solutions
7.5.4 Oracle Retail and Apparel Smart Supply Chain Revenue (US$ Million) & (2019-2024)
7.5.5 Oracle Recent Developments
7.6 PTC
7.6.1 PTC Profile
7.6.2 PTC Main Business
7.6.3 PTC Retail and Apparel Smart Supply Chain Products, Services and Solutions
7.6.4 PTC Retail and Apparel Smart Supply Chain Revenue (US$ Million) & (2019-2024)
7.6.5 PTC Recent Developments
7.7 Manhattan Associates
7.7.1 Manhattan Associates Profile
7.7.2 Manhattan Associates Main Business
7.7.3 Manhattan Associates Retail and Apparel Smart Supply Chain Products, Services and Solutions
7.7.4 Manhattan Associates Retail and Apparel Smart Supply Chain Revenue (US$ Million) & (2019-2024)
7.7.5 Manhattan Associates Recent Developments
7.8 Infor
7.8.1 Infor Profile
7.8.2 Infor Main Business
7.8.3 Infor Retail and Apparel Smart Supply Chain Products, Services and Solutions
7.8.4 Infor Retail and Apparel Smart Supply Chain Revenue (US$ Million) & (2019-2024)
7.8.5 Infor Recent Developments
8 Industry Chain Analysis
8.1 Retail and Apparel Smart Supply Chain Industrial Chain
8.2 Retail and Apparel Smart Supply Chain 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 Retail and Apparel Smart Supply Chain Sales Model
8.5.2 Sales Channel
8.5.3 Retail and Apparel Smart Supply Chain 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:

Alibaba
IBM
SAP
JDA Software
Oracle
PTC
Manhattan Associates
Infor

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