Market Overview:
The global retail analytics software market is expected to grow at a CAGR of 10.8% during the forecast period from 2018 to 2030. The growth in the market can be attributed to the increasing demand for cloud-based and web-based retail analytics software solutions by large enterprises and SMEs across different regions. North America is expected to hold the largest share of the global retail analytics software market in 2018, followed by Europe, Asia Pacific, Latin America, and Middle East & Africa.
Product Definition:
Retail analytics software is used to help retail organizations understand and analyze their sales data. This type of software can provide insights into customer behavior, product trends, and more. Retail analytics software is important because it can help retailers make better business decisions based on real data.
Cloud Based:
Cloud-based software is a collection of services that provide shared pooling of data and resources across multiple computers or devices connected to the internet. The cloud based software provides an environment where retailers can analyze large volumes of customer data from various sources such as social media, e-commerce websites, mobile applications and in-store cameras to gain insights into consumer behavior. Cloud analytics also helps retailers understand the changing needs and preferences of customers better so that they can design more effective marketing campaigns.
Web Based:
The web-based platform is an interactive software system that allows users to access data or information from remote locations. The retail analytics software industry has witnessed a significant shift towards the web-based platform over the past few years. This can be attributed to several benefits offered by this technology, such as easy accessibility and convenient usage, which in turn have contributed significantly towards its widespread adoption across various end-use industries.
Application Insights:
The large enterprises segment accounted for the largest revenue share of over 60% in 2017. The segment is expected to continue its dominance over the forecast period owing to factors such as extensive usage, high adoption and growing awareness among retailers about their business needs. The retail analytics software has numerous applications across different parts of a retailer¢â‚¬â„¢s organization including marketing, product & service management, store management and financial analysis. These applications enable retailers to gain insights from data collected at multiple levels within an organization thereby enabling effective decision-making processes.
The SMEs segment is projected to exhibit considerable growth during the forecast period owing to increasing penetration and rising demand for advanced retail solutions from small businesses that are just getting started or have just expanded their operations into e-commerce platforms with a brick-and-mortar location.
Regional Analysis:
The Asia Pacific region is expected to emerge as the fastest-growing regional segment over the forecast period. The growth can be attributed to increasing adoption of advanced technologies and changing business models in various countries, such as China, India, Japan and Australia. The retail industry in these countries has been witnessing significant changes owing to growing penetration of e-commerce companies such as Flipkart (India), Alibaba (China) and Amazon (U.S.). These companies are leveraging big data analytics technology for providing recommendations based on consumer buying patterns across different categories within a store or across stores within an e-commerce platform. This trend is projected to accelerate market growth over the next eight years.
North America held a substantial share in 2016 owing to early adoption of advanced technologies by retailers operating large number of stores including Walmart Inc.; Kroger; Safeway Inc.; Sprouts Farmers Market; Whole Foods Market; Target Corporation; H&M Hennes & Mauritz AB; Forever 21 Ltd.
Growth Factors:
- Increasing demand for big data and analytics solutions across industries
- Proliferation of digital channels and the need to measure their impact on sales
- The growing importance of customer loyalty and customer lifetime value (CLV) in retail
- The increasing use of location-based services and marketing by retailers
- The rising trend of cloud-based deployments among retailers
Scope Of The Report
Report Attributes
Report Details
Report Title
Retail Analytics Software Market Research Report
By Type
Cloud Based, Web Based
By Application
Large Enterprises, SMEs
By Companies
re-currency, SPS, Numerator, Alloy, NTS Retail, LinkIQ, PathFinder, Personali, PriceTrack, Sales Temperature, 42 Technologies, Blosm, Blueday, DemandLink, Antusa
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
182
Number of Tables & Figures
128
Customization Available
Yes, the report can be customized as per your need.
Global Retail Analytics Software Market Report Segments:
The global Retail Analytics Software market is segmented on the basis of:
Types
Cloud Based, Web Based
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
Large Enterprises, SMEs
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:
- re-currency
- SPS
- Numerator
- Alloy
- NTS Retail
- LinkIQ
- PathFinder
- Personali
- PriceTrack
- Sales Temperature
- 42 Technologies
- Blosm
- Blueday
- DemandLink
- Antusa
Highlights of The Retail Analytics Software 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:
- Cloud Based
- Web Based
- By Application:
- Large Enterprises
- SMEs
- 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 Retail Analytics Software 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?
Retail analytics software is a type of software that helps retailers understand how customers are interacting with their stores and what products are selling best. This information can help retailers make better decisions about where to put resources and which products to sell.
Some of the major players in the retail analytics software market are re-currency, SPS, Numerator, Alloy, NTS Retail, LinkIQ, PathFinder, Personali, PriceTrack, Sales Temperature, 42 Technologies, Blosm, Blueday, DemandLink, Antusa.
The retail analytics software market is expected to grow at a compound annual growth rate of 10.8%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Retail Analytics Software 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 Retail Analytics Software Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Retail Analytics Software 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 Retail Analytics Software 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 Retail Analytics Software Market Size & Forecast, 2018-2028 4.5.1 Retail Analytics Software Market Size and Y-o-Y Growth 4.5.2 Retail Analytics Software Market Absolute $ Opportunity
Chapter 5 Global Retail Analytics Software 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 Retail Analytics Software Market Size Forecast by Type
5.2.1 Cloud Based
5.2.2 Web Based
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Retail Analytics Software 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 Retail Analytics Software Market Size Forecast by Applications
6.2.1 Large Enterprises
6.2.2 SMEs
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Retail Analytics Software 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 Retail Analytics Software 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 Retail Analytics Software Analysis and Forecast
9.1 Introduction
9.2 North America Retail Analytics Software 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 Retail Analytics Software Market Size Forecast by Type
9.6.1 Cloud Based
9.6.2 Web Based
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 Retail Analytics Software Market Size Forecast by Applications
9.10.1 Large Enterprises
9.10.2 SMEs
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 Retail Analytics Software Analysis and Forecast
10.1 Introduction
10.2 Europe Retail Analytics Software 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 Retail Analytics Software Market Size Forecast by Type
10.6.1 Cloud Based
10.6.2 Web Based
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 Retail Analytics Software Market Size Forecast by Applications
10.10.1 Large Enterprises
10.10.2 SMEs
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 Retail Analytics Software Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Retail Analytics Software 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 Retail Analytics Software Market Size Forecast by Type
11.6.1 Cloud Based
11.6.2 Web Based
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 Retail Analytics Software Market Size Forecast by Applications
11.10.1 Large Enterprises
11.10.2 SMEs
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 Retail Analytics Software Analysis and Forecast
12.1 Introduction
12.2 Latin America Retail Analytics Software 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 Retail Analytics Software Market Size Forecast by Type
12.6.1 Cloud Based
12.6.2 Web Based
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 Retail Analytics Software Market Size Forecast by Applications
12.10.1 Large Enterprises
12.10.2 SMEs
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) Retail Analytics Software Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Retail Analytics Software 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) Retail Analytics Software Market Size Forecast by Type
13.6.1 Cloud Based
13.6.2 Web Based
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) Retail Analytics Software Market Size Forecast by Applications
13.10.1 Large Enterprises
13.10.2 SMEs
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 Retail Analytics Software Market: Competitive Dashboard
14.2 Global Retail Analytics Software Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 re-currency
14.3.2 SPS
14.3.3 Numerator
14.3.4 Alloy
14.3.5 NTS Retail
14.3.6 LinkIQ
14.3.7 PathFinder
14.3.8 Personali
14.3.9 PriceTrack
14.3.10 Sales Temperature
14.3.11 42 Technologies
14.3.12 Blosm
14.3.13 Blueday
14.3.14 DemandLink
14.3.15 Antusa