Market Overview:
Edge computing is a type of computing that is used to manage and process data near the edge of a network, as opposed to at a centralized data center. Edge computing can improve the performance and efficiency of systems by reducing latency, bandwidth requirements, and energy consumption. The global edge computing in retailing market was valued at US$ XX Mn in 2017 and is expected to reach US$ XX Mn by 2030, expanding at a CAGR of XX% during the forecast period 2018-2030. The global edge computing in retailing market has been segmented on the basis of technology into hardware, service, and software segments. On the basis of application, the market has been segmented into electronic products, cosmetics & personal care products (P&C), clothes & accessories (C&A), food & grocery items (F&G), books/movies/music (BM), other applications segments such as automotive parts etc., which have not been individually considered due to their low share in terms revenue contribution.
Product Definition:
Edge computing is the practice of using a distributed network of devices to perform computing tasks at the edge of the network, near the source of the data. Edge computing in retail refers to using distributed networks of devices, such as point-of-sale (POS) terminals and sensors, to perform tasks such as processing payments and tracking inventory near or at the point-of-sale. This can improve performance and reduce latency for retail applications.
Technology:
Technology is the use of tools, software and systems to perform a specific task. In retailing, technology helps in improving customer experience by providing improved accuracy in price estimation and inventory management. Technology usage has been witnessing significant growth over the past few years owing to its ability to streamline various processes involved in retailing such as supply chain management, order processing and marketing & promotions.
Service:
Service is a set of processes that are designed to help companies gain more from the data they have. It includes analytics, business intelligence, and reporting services. Companies use service for improving their operational efficiency by gaining insights into consumer behavior and product adoption trends. Service helps retailers in enhancing customer experience by providing accurate information about products along with detailed analysis on buying patterns and preferences which eventually drives the sales for any company. Thus, it improves productivity at every level of the supply chain i.e.
Application Insights:
The other application segment includes applications such as advertising, analytics, customer profiling, and others. The use of cloud computing has enabled the development of sophisticated marketing campaigns that can be effectively managed using data collected from various sources. This has led to an increase in demand for edge computing services in this segment.
Electronic products accounted for a significant market share in 2017 owing to the increasing penetration of smart devices among consumers globally. The growing popularity and need for home delivery systems among consumers have necessitated the development of advanced solutions that ensure secure delivery at the doorsteps without damaging or losing any item during transit.
Regional Analysis:
North America dominated the market in 2017 owing to early adoption of technologies. The region is expected to maintain its dominance over the forecast period due to presence of key industry participants and increased spending on R&D. Europe accounted for a significant share in the market as it is one of the largest economies in terms of population. Increasing disposable income levels are also contributing toward growth in this region.
Growth Factors:
- Increasing demand for faster and more efficient services: As the retail sector continues to grow, there is an increasing demand for faster and more efficient services. Edge computing can help meet this need by providing near-instantaneous response times and improved performance overall.
- The need for better customer experience: In order to stay competitive, retailers must provide a positive customer experience that is both convenient and personalized. Edge computing can help achieve this by delivering content quickly and accurately, while also collecting data to create targeted marketing campaigns.
- The rise of ecommerce: Ecommerce is continuing to grow in popularity, with sales expected to reach trillion by 2021 . This growth is putting pressure on retailers to adopt new technologies that can improve the online shopping experience . Edge computing can help meet this challenge by providing fast loading times, reducing latency issues, and improving site reliability overall.
Scope Of The Report
Report Attributes
Report Details
Report Title
Edge Computing in Retailing Market Research Report
By Type
Technology, Service, Hardware
By Application
Electronic Products, Cosmetics, Clothes, Other
By Companies
Cisco, HPE, Huawei, IBM, Dell Technologies, Nokia, Litmus Automation, FogHorn Systems, SixSq, MachineShop, Saguna Networks, Vapor IO, ADLINK, Altran, Axellio
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
226
Number of Tables & Figures
159
Customization Available
Yes, the report can be customized as per your need.
Global Edge Computing in Retailing Market Report Segments:
The global Edge Computing in Retailing market is segmented on the basis of:
Types
Technology, Service, Hardware
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Electronic Products, Cosmetics, Clothes, Other
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Cisco
- HPE
- Huawei
- IBM
- Dell Technologies
- Nokia
- Litmus Automation
- FogHorn Systems
- SixSq
- MachineShop
- Saguna Networks
- Vapor IO
- ADLINK
- Altran
- Axellio
Highlights of The Edge Computing in Retailing Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Technology
- Service
- Hardware
- By Application:
- Electronic Products
- Cosmetics
- Clothes
- Other
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Edge Computing in Retailing Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Edge computing is a type of computing that uses the latest in technology to improve the speed and efficiency of tasks performed by retailers. Edge computing can help reduce wait times for customers, streamline inventory management, and make it easier for retailers to keep up with changes in customer demand.
Some of the major players in the edge computing in retailing market are Cisco, HPE, Huawei, IBM, Dell Technologies, Nokia, Litmus Automation, FogHorn Systems, SixSq, MachineShop, Saguna Networks, Vapor IO, ADLINK, Altran, Axellio.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Edge Computing in Retailing Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Edge Computing in Retailing Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Edge Computing in Retailing Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Edge Computing in Retailing Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Edge Computing in Retailing Market Size & Forecast, 2018-2028
4.5.1 Edge Computing in Retailing Market Size and Y-o-Y Growth
4.5.2 Edge Computing in Retailing Market Absolute $ Opportunity
Chapter 5 Global Edge Computing in Retailing Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Edge Computing in Retailing Market Size Forecast by Type
5.2.1 Technology
5.2.2 Service
5.2.3 Hardware
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Edge Computing in Retailing Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Edge Computing in Retailing Market Size Forecast by Applications
6.2.1 Electronic Products
6.2.2 Cosmetics
6.2.3 Clothes
6.2.4 Other
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Edge Computing in Retailing Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Edge Computing in Retailing Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Edge Computing in Retailing Analysis and Forecast
9.1 Introduction
9.2 North America Edge Computing in Retailing Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Edge Computing in Retailing Market Size Forecast by Type
9.6.1 Technology
9.6.2 Service
9.6.3 Hardware
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Edge Computing in Retailing Market Size Forecast by Applications
9.10.1 Electronic Products
9.10.2 Cosmetics
9.10.3 Clothes
9.10.4 Other
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Edge Computing in Retailing Analysis and Forecast
10.1 Introduction
10.2 Europe Edge Computing in Retailing Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Edge Computing in Retailing Market Size Forecast by Type
10.6.1 Technology
10.6.2 Service
10.6.3 Hardware
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Edge Computing in Retailing Market Size Forecast by Applications
10.10.1 Electronic Products
10.10.2 Cosmetics
10.10.3 Clothes
10.10.4 Other
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Edge Computing in Retailing Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Edge Computing in Retailing Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Edge Computing in Retailing Market Size Forecast by Type
11.6.1 Technology
11.6.2 Service
11.6.3 Hardware
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Edge Computing in Retailing Market Size Forecast by Applications
11.10.1 Electronic Products
11.10.2 Cosmetics
11.10.3 Clothes
11.10.4 Other
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Edge Computing in Retailing Analysis and Forecast
12.1 Introduction
12.2 Latin America Edge Computing in Retailing Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Edge Computing in Retailing Market Size Forecast by Type
12.6.1 Technology
12.6.2 Service
12.6.3 Hardware
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Edge Computing in Retailing Market Size Forecast by Applications
12.10.1 Electronic Products
12.10.2 Cosmetics
12.10.3 Clothes
12.10.4 Other
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Edge Computing in Retailing Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Edge Computing in Retailing Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Edge Computing in Retailing Market Size Forecast by Type
13.6.1 Technology
13.6.2 Service
13.6.3 Hardware
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Edge Computing in Retailing Market Size Forecast by Applications
13.10.1 Electronic Products
13.10.2 Cosmetics
13.10.3 Clothes
13.10.4 Other
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Edge Computing in Retailing Market: Competitive Dashboard
14.2 Global Edge Computing in Retailing Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Cisco
14.3.2 HPE
14.3.3 Huawei
14.3.4 IBM
14.3.5 Dell Technologies
14.3.6 Nokia
14.3.7 Litmus Automation
14.3.8 FogHorn Systems
14.3.9 SixSq
14.3.10 MachineShop
14.3.11 Saguna Networks
14.3.12 Vapor IO
14.3.13 ADLINK
14.3.14 Altran
14.3.15 Axellio
