Edge Computing in Retailing - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB511245775

Publication Date:

November 4, 2024

Pages:

132

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Edge Computing in Retailing 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 Edge Computing in Retailing 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 Edge Computing in Retailing 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 Edge Computing in Retailing 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 Edge Computing in Retailing include Cisco, HPE, Huawei, IBM, Dell Technologies, Nokia, Litmus Automation, FogHorn Systems and SixSq, 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 Edge Computing in Retailing, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Edge Computing in Retailing by region & country, by Type, and by Application.
The Edge Computing in Retailing 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 Edge Computing in Retailing.
Market Segmentation
By Company
Cisco
HPE
Huawei
IBM
Dell Technologies
Nokia
Litmus Automation
FogHorn Systems
SixSq
MachineShop
Saguna Networks
Vapor IO
ADLINK
Altran
Axellio
Segment by Type:
Technology
Service
Hardware
Segment by Application
Electronic Products
Cosmetics
Clothes
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 Edge Computing in Retailing 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 Edge Computing in Retailing 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 Edge Computing in Retailing 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.

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Table Of Contents:

1 Market Overview
1.1 Edge Computing in Retailing Product Introduction
1.2 Global Edge Computing in Retailing Market Size Forecast
1.3 Edge Computing in Retailing Market Trends & Drivers
1.3.1 Edge Computing in Retailing Industry Trends
1.3.2 Edge Computing in Retailing Market Drivers & Opportunity
1.3.3 Edge Computing in Retailing Market Challenges
1.3.4 Edge Computing in Retailing Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Edge Computing in Retailing Players Revenue Ranking (2023)
2.2 Global Edge Computing in Retailing Revenue by Company (2019-2024)
2.3 Key Companies Edge Computing in Retailing Manufacturing Base Distribution and Headquarters
2.4 Key Companies Edge Computing in Retailing Product Offered
2.5 Key Companies Time to Begin Mass Production of Edge Computing in Retailing
2.6 Edge Computing in Retailing Market Competitive Analysis
2.6.1 Edge Computing in Retailing Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Edge Computing in Retailing Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Edge Computing in Retailing as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Technology
3.1.2 Service
3.1.3 Hardware
3.2 Global Edge Computing in Retailing Sales Value by Type
3.2.1 Global Edge Computing in Retailing Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Edge Computing in Retailing Sales Value, by Type (2019-2030)
3.2.3 Global Edge Computing in Retailing Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Electronic Products
4.1.2 Cosmetics
4.1.3 Clothes
4.1.4 Other
4.2 Global Edge Computing in Retailing Sales Value by Application
4.2.1 Global Edge Computing in Retailing Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Edge Computing in Retailing Sales Value, by Application (2019-2030)
4.2.3 Global Edge Computing in Retailing Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Edge Computing in Retailing Sales Value by Region
5.1.1 Global Edge Computing in Retailing Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Edge Computing in Retailing Sales Value by Region (2019-2024)
5.1.3 Global Edge Computing in Retailing Sales Value by Region (2025-2030)
5.1.4 Global Edge Computing in Retailing Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Edge Computing in Retailing Sales Value, 2019-2030
5.2.2 North America Edge Computing in Retailing Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Edge Computing in Retailing Sales Value, 2019-2030
5.3.2 Europe Edge Computing in Retailing Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Edge Computing in Retailing Sales Value, 2019-2030
5.4.2 Asia Pacific Edge Computing in Retailing Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Edge Computing in Retailing Sales Value, 2019-2030
5.5.2 South America Edge Computing in Retailing Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Edge Computing in Retailing Sales Value, 2019-2030
5.6.2 Middle East & Africa Edge Computing in Retailing Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Edge Computing in Retailing Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Edge Computing in Retailing Sales Value
6.3 United States
6.3.1 United States Edge Computing in Retailing Sales Value, 2019-2030
6.3.2 United States Edge Computing in Retailing Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Edge Computing in Retailing Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Edge Computing in Retailing Sales Value, 2019-2030
6.4.2 Europe Edge Computing in Retailing Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Edge Computing in Retailing Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Edge Computing in Retailing Sales Value, 2019-2030
6.5.2 China Edge Computing in Retailing Sales Value by Type (%), 2023 VS 2030
6.5.3 China Edge Computing in Retailing Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Edge Computing in Retailing Sales Value, 2019-2030
6.6.2 Japan Edge Computing in Retailing Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Edge Computing in Retailing Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Edge Computing in Retailing Sales Value, 2019-2030
6.7.2 South Korea Edge Computing in Retailing Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Edge Computing in Retailing Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Edge Computing in Retailing Sales Value, 2019-2030
6.8.2 Southeast Asia Edge Computing in Retailing Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Edge Computing in Retailing Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Edge Computing in Retailing Sales Value, 2019-2030
6.9.2 India Edge Computing in Retailing Sales Value by Type (%), 2023 VS 2030
6.9.3 India Edge Computing in Retailing Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Cisco
7.1.1 Cisco Profile
7.1.2 Cisco Main Business
7.1.3 Cisco Edge Computing in Retailing Products, Services and Solutions
7.1.4 Cisco Edge Computing in Retailing Revenue (US$ Million) & (2019-2024)
7.1.5 Cisco Recent Developments
7.2 HPE
7.2.1 HPE Profile
7.2.2 HPE Main Business
7.2.3 HPE Edge Computing in Retailing Products, Services and Solutions
7.2.4 HPE Edge Computing in Retailing Revenue (US$ Million) & (2019-2024)
7.2.5 HPE Recent Developments
7.3 Huawei
7.3.1 Huawei Profile
7.3.2 Huawei Main Business
7.3.3 Huawei Edge Computing in Retailing Products, Services and Solutions
7.3.4 Huawei Edge Computing in Retailing Revenue (US$ Million) & (2019-2024)
7.3.5 IBM Recent Developments
7.4 IBM
7.4.1 IBM Profile
7.4.2 IBM Main Business
7.4.3 IBM Edge Computing in Retailing Products, Services and Solutions
7.4.4 IBM Edge Computing in Retailing Revenue (US$ Million) & (2019-2024)
7.4.5 IBM Recent Developments
7.5 Dell Technologies
7.5.1 Dell Technologies Profile
7.5.2 Dell Technologies Main Business
7.5.3 Dell Technologies Edge Computing in Retailing Products, Services and Solutions
7.5.4 Dell Technologies Edge Computing in Retailing Revenue (US$ Million) & (2019-2024)
7.5.5 Dell Technologies Recent Developments
7.6 Nokia
7.6.1 Nokia Profile
7.6.2 Nokia Main Business
7.6.3 Nokia Edge Computing in Retailing Products, Services and Solutions
7.6.4 Nokia Edge Computing in Retailing Revenue (US$ Million) & (2019-2024)
7.6.5 Nokia Recent Developments
7.7 Litmus Automation
7.7.1 Litmus Automation Profile
7.7.2 Litmus Automation Main Business
7.7.3 Litmus Automation Edge Computing in Retailing Products, Services and Solutions
7.7.4 Litmus Automation Edge Computing in Retailing Revenue (US$ Million) & (2019-2024)
7.7.5 Litmus Automation Recent Developments
7.8 FogHorn Systems
7.8.1 FogHorn Systems Profile
7.8.2 FogHorn Systems Main Business
7.8.3 FogHorn Systems Edge Computing in Retailing Products, Services and Solutions
7.8.4 FogHorn Systems Edge Computing in Retailing Revenue (US$ Million) & (2019-2024)
7.8.5 FogHorn Systems Recent Developments
7.9 SixSq
7.9.1 SixSq Profile
7.9.2 SixSq Main Business
7.9.3 SixSq Edge Computing in Retailing Products, Services and Solutions
7.9.4 SixSq Edge Computing in Retailing Revenue (US$ Million) & (2019-2024)
7.9.5 SixSq Recent Developments
7.10 MachineShop
7.10.1 MachineShop Profile
7.10.2 MachineShop Main Business
7.10.3 MachineShop Edge Computing in Retailing Products, Services and Solutions
7.10.4 MachineShop Edge Computing in Retailing Revenue (US$ Million) & (2019-2024)
7.10.5 MachineShop Recent Developments
7.11 Saguna Networks
7.11.1 Saguna Networks Profile
7.11.2 Saguna Networks Main Business
7.11.3 Saguna Networks Edge Computing in Retailing Products, Services and Solutions
7.11.4 Saguna Networks Edge Computing in Retailing Revenue (US$ Million) & (2019-2024)
7.11.5 Saguna Networks Recent Developments
7.12 Vapor IO
7.12.1 Vapor IO Profile
7.12.2 Vapor IO Main Business
7.12.3 Vapor IO Edge Computing in Retailing Products, Services and Solutions
7.12.4 Vapor IO Edge Computing in Retailing Revenue (US$ Million) & (2019-2024)
7.12.5 Vapor IO Recent Developments
7.13 ADLINK
7.13.1 ADLINK Profile
7.13.2 ADLINK Main Business
7.13.3 ADLINK Edge Computing in Retailing Products, Services and Solutions
7.13.4 ADLINK Edge Computing in Retailing Revenue (US$ Million) & (2019-2024)
7.13.5 ADLINK Recent Developments
7.14 Altran
7.14.1 Altran Profile
7.14.2 Altran Main Business
7.14.3 Altran Edge Computing in Retailing Products, Services and Solutions
7.14.4 Altran Edge Computing in Retailing Revenue (US$ Million) & (2019-2024)
7.14.5 Altran Recent Developments
7.15 Axellio
7.15.1 Axellio Profile
7.15.2 Axellio Main Business
7.15.3 Axellio Edge Computing in Retailing Products, Services and Solutions
7.15.4 Axellio Edge Computing in Retailing Revenue (US$ Million) & (2019-2024)
7.15.5 Axellio Recent Developments
8 Industry Chain Analysis
8.1 Edge Computing in Retailing Industrial Chain
8.2 Edge Computing in Retailing 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 Edge Computing in Retailing Sales Model
8.5.2 Sales Channel
8.5.3 Edge Computing in Retailing 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:

Cisco
HPE
Huawei
IBM
Dell Technologies
Nokia
Litmus Automation
FogHorn Systems
SixSq
MachineShop
Saguna Networks
Vapor IO
ADLINK
Altran
Axellio

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