Retail Analytics Market

Retail Analytics Market by Application (Merchandising Analysis, Customer Analysis, Performance Analysis), Business Function (Finance, Sales, Marketing, Supply Chain and Store Operations), Component, End-User, and Region - Global Forecast to 2022

Report Code: TC 2663 Aug, 2017, by marketsandmarkets.com

[167 Pages Report] The global retail analytics market is expected to grow from USD 3.14 billion in 2016 to USD 8.64 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 19.7%. Retail analytics has gained major market traction across the globe, due to its capability of analyzing the huge data volumes flooding the retail industry. Today’s retail environment is more competitive than it was a few years back. Retailers are struggling to stay ahead in the competition. Due to increased customer preferences and demand for one-click solutions, most of the retailers have started thinking of newer ways to cater to customers’ needs. Therefore, retail analytics has started gaining major traction among retailers to provide actionable insights from customers’ data. Analysis has been incorporated in every aspect of the retail space. Whether it is merchandising or customer management, retail analytics has offered proven solutions for every retailer. With rapid growth in online retail, it has become the need of the hour to utilize the tremendous volumes of data generated by every online click for strategizing promotional activities and trade promotions. The base year considered for the study is 2016, and the forecast has been provided for the period between 2017 and 2022.

Market Dynamics

Drivers

  • Growing internet penetration
  • Advancement in technologies such as machine learning, AI, and augmented reality
  • Increased use of data-intensive platforms and rapid adoption of social media

Restraints

  • Lack of skilled personnel
  • High initial setup cost

Opportunities

  • Advent of cloud-based analytics
  • Growing inclination of vendors toward merging in-store and digital operations

Challenges

  • Complexities in gathering and integrating data from omnichannel eCommerce streams
  • Rapidly changing consumer preferences

Growing internet penetration drives the global retail analytics market

The unprecedented proliferation of internet connection has transformed the way the world interacts. Exponential rise in social media, cloud computing, and online banking is just the tip of the iceberg and has significantly improved the way consumers engage with the online world. Technologies such as IoT, connected devices, and smart cities are utilizing data more productively. Developed economies have leveraged the internet connection prolifically, and the majority of the new users are emerging from low and middle income countries that are centered across Asia. There is a golden opportunity for retail analytics software vendors to capitalize on this unprecedented growth of internet users. The rising eCommerce sector is changing the traditional way of shopping. Targeted email campaigns, social media advertising, increased levels of personalization, and cognitive analysis of customers are expected to be the key enablers driving sales numbers and increasing the effectiveness of customer loyalty programs. Moreover, with more connected devices, retailers would be looking toward adopting retail analytics to tap into the huge volume of data being generated. Real-time analysis of customers’ shopping behavior, market basket analysis, and loyalty analysis would be aimed at providing customized offers to increase customer retention.

Retail Analytics Market

To know about the assumptions considered for the study, download the pdf brochure

The following are the major objectives of the study.

  • To describe and forecast the retail analytics market based on applications, business functions, components, deployment models, organizations sizes, end-users, and regions
  • To describe and forecast the retail analytics market, in terms of value, by region–Asia Pacific (APAC), Europe, North America, Latin America, and Middle East and Africa (MEA)
  • To provide detailed information regarding major factors influencing market growth (drivers, restraints, opportunities, and challenges)
  • To strategically analyze micro markets with respect to individual growth trends, prospects, and contributions to the overall market
  • To analyze opportunities in the market for stakeholders by identifying the high-growth segments of the retail analytics ecosystem
  • To strategically profile key players and comprehensively analyze their market position and core competencies, along with detailing competitive landscape for market leaders
  • To analyze strategic approaches such as product launches, acquisitions, agreements, and partnerships in the retail analytics market

The research methodology used to estimate and forecast the retail analytics market began with data collection through secondary research on key vendors. The sources referred for secondary research include D&B Hoover’s, Bloomberg Businessweek, and Factiva. The vendor offerings were taken into consideration in order to determine the market segmentation. The bottom-up procedure was employed to arrive at the overall market size of the global retail analytics market from the revenue of the key players in the market. After arriving at the overall market size, the total market was split into several segments and subsegments, which were then verified through primary research by conducting extensive interviews with key personnel, such as Chief Marketing Officers (CMOs), and Chief Executive Officers (CEOs), Vice Presidents (VPs), directors, and executives. The data triangulation and market breakdown procedures were employed to complete the overall market engineering process and arrive at the exact statistics for all the segments and subsegments. The figure below shows the breakdown of the primaries on the basis of the company type, designation, and region considered during the research study.

The retail analytics market comprises software and service providers, such as 1010data (US), Angoss Software (Canada), BRIDGEi2i (India), Capillary Technologies (Singapore), Diaspark (US), FLIR Systems (US), Fujitsu (Japan), GainInsights Solutions (India), Happiest Minds (India), Information Builders (US), IntelliVision (US), IBM (US), LoyaltyOne (Canada), Manthan Software Services (India), Microsoft (US), MicroStrategy (US), Oracle (US), QBurst (India), Qlik Technologies (US), RetailNext (US), SAP (Germany), SAS Institute (US), Trax (Singapore), Visual BI Solutions (US),and Zebra Technologies (US).

Major Market Developments

  • In March 2017, Oracle launched the Oracle Retail Merchandising solution on the Oracle cloud platform. The cloud-based retail merchandising offerings optimize mobility, improve customer engagement, and enhance the user experience, thereby improving Oracle’s competitive position in the market..
  • In January 2017, Fujitsu launched a new version of Retail Engagement Analytics 2.0, a cloud-based solution that uses RFID and IoT technologies to monitor and analyze real-time customer behavior, and provide actionable insights to maximize sales conversion rates. The new solution features video analytics and queue management to help brick-and-mortar retailers collect and analyze a variety of data sources for improving the overall customer retail experience.
  • In October 2016, IBM introduced new Watson solutions aimed at professionals working across a gamut of business functions, such as marketing, commerce, supply chain, and human resources. The company offers IBM Watson Customer Experience Analytics to comprehend a variety of customer behavioral patterns, such as shopping patterns and buying trends.

Key Target Audience for Retail Analytics Market

  • Consulting companies
  • Government agencies
  • Investors and venture capitalists
  • Value-Added Resellers (VARs)
  • Small, medium, and large-sized enterprises
  • Third-party providers
  • Consultants/consultancies/advisory firms
  • Professional service providers
  • Retailers

Scope of the Retail Analytics Market Research Report

By Application:

  • Merchandising Analysis
  • Pricing Analysis
  • Customer Management
  • Performance Analysis
  • Yield Analysis
  • Inventory Analysis
  • Others (order management, transportation management, assortment and cluster planning, and real-estate planning)

By Business Function:

  • Finance
  • Sales
  • Marketing
  • Supply Chain
  • Store Operation

By Component:

  • Software
  • Services
    • Professional Services
      • Implementation and Consulting Services
      • Training and Support
    • Managed Services

By Deployment Model:

  • On-premises
  • On-demand

By Organization Size:

  • SMEs
  • Large Enterprises

By End-User:

  • Online
  • Offline

By Region:

  • North America
  • Europe
  • MEA
  • APAC
  • Latin America

Critical questions which the report answers

  • What are new application areas which the retail analytics companies are exploring?
  • Who are the key players in the market and how intense is the competition?

Available Customizations

Based on the given market data, MarketsandMarkets offers customizations in the reports as per the client’s specific requirements. The available customization options are as follows:

Product Analysis

  • Product matrix gives a detailed comparison of product portfolio for each company.

Geographic Analysis

  • Further breakdown of the North American retail analytics market
  • Further breakdown of the European retail analytics market
  • Further breakdown of the APAC retail analytics market
  • Further breakdown of the MEA retail analytics market
  • Further breakdown of the Latin American retail analytics market

Company Information

  • Detailed profiling and analysis of additional market players

The global retail analytics market is expected to grow from USD 3.52 billion in 2017 to USD 8.64 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 19.7%. Growing internet penetration, advancement in technologies such as machine learning, AI, and augmented reality, increased use of data-intensive platforms and rapid adoption of social media are the key factors driving the growth of this market.

Retail analytics has started gaining major market traction among retailers to provide actionable insights from customers’ data. Analysis has been incorporated in every aspect of the retail space. Whether it is merchandising or customer management, retail analytics has offered proven solutions for every retailer. Due to the rapid adoption of the online retailing, it has become the need of the hour to utilize the tremendous volumes of data generated by every online click for strategizing promotional activities and trade promotions.

The retail analytics market has been segmented based on applications including merchandising analysis, pricing analysis, customer management, performance analysis, yield analysis, inventory analysis, and other applications such as assortment and order optimization. The market for customer management application is expected to grow at the highest CAGR between 2018 and 2023. The customer management and analytics portfolio enable the retailers to deploy personalized engagement on data driven insights about customer behavior. The solutions are designed to create ideal responses for every single customer interaction. The key requirement for understanding consumer behavior is getting quantified data on real-time consumer activities. Vendors provide consumer management analytics solutions that help in consistently tracking the quantity and frequency of product purchases, frequency and duration of customer visits, price sensitivity, mostly preferred areas of purchase, customer response to promotional activities, and such.

The retail analytics market in APAC is expected to grow at the highest CAGR during the forecast period. Increasing digitalization and growing internet penetration have resulted in increased number of eCommerce retailers in the APAC region. Additionally, rapid growth of faster internet services coupled with increased use of mobile devices is creating stiff competition in the retail analytics market in the region. The region is witnessing an increasing demand for cloud-based analytics solutions, owing to the increasing size of SME retailers. Companies operating in the APAC market continue to focus on improving customer service to drive market competitiveness and revenue growth. Fast-growing countries such as China, India, Vietnam, Malaysia, and Thailand are rapidly adopting advanced retail analytics solutions.

Retail Analytics Market

Need to have personalized engagement based on data driven insights on customer behavior drive the growth of retail analytics market

Merchandising Analysis

The growing demand for the effective analysis of changing customer needs has been a major factor for any retailer brand to sustain in the competition. This totally depends on how effectively the retailers have adopted different analytics software that provide them actionable insights about changing customer needs. Vendors operating in the retail analytics market have invested in R&D domains to provide data driven solutions that better meet the retailer’s requirement and analyze the changing customer preferences. Merchandising analytics provides analytical insights for huge data volume of store-based operations.

Pricing Analysis

Retailers have identified product pricing as one of the most prominent aspects of their growth and have worked accordingly on refining their overall pricing strategy. In-spite of the fact that predictive pricing models offered by different software vendors can manage their pricing and promotion strategy, enterprises have focused on implementing full-fledged profit optimization tools. Performing smart competitive pricing analysis can provide retailers with quick accelerated growth.

Customer Management

The customer management and analytics portfolio enable the retailers to deploy personalized engagement on data driven insights about customer behavior. The solutions are designed to create ideal responses for every single customer interaction. The key requirement for understanding consumer behavior is getting quantified data on real-time consumer activities. Vendors provide consumer management analytics solutions that help in consistently tracking the quantity and frequency of product purchases, frequency and duration of customer visits, price sensitivity, mostly preferred areas of purchase, customer response to promotional activities, and such.

Performance Analysis

Performance analysis is a critical application in any retail analytics software. The solution can gauge the performance indices of both high-performing and low-performing brands. Moreover, the software can also be helpful to measure the capabilities of a workforce and determine how much business they are able to generate for the company.

Yield Analysis

Yield (Demand) analysis is one of the pertinent key application areas for retailers. Retailers want to estimate or forecast the consumer demand for a product or service. It is one of the most important considerations taken for a variety of key business decisions such as sales forecasting, marketing and advertising spending, expansion planning, and numerous other manufacturing decisions. Involving predictive as well as prescriptive analytics could help to forecast the demand properly. Moreover, involving prescriptive analytics could also be instrumental in identifying key business areas, which are high in demand and need special attention.

Inventory Analysis

After demand analysis, inventory management is one of the topmost concerns for the retailers. The ability to swiftly replenish the sold-out or defective items is one of the key differentiating factors for retailers doing business in this competitive era. Moreover, as the technology is becoming more advanced and pervasive, analytics would help retailers to gain a strong control over their inventory. For instance, predictive analytics would be useful in tracking economic indicators, promotions, and discounts to help retailers optimize their supply chain adequately.

Critical questions the report answers:

  • Where will all these developments take the industry in the mid to long term?
  • What are the upcoming industry applications for retail analytics?

High initial setup cost is among the major factor restraining the growth of the market. As compared to conventional solutions, the initial cost incurred for deploying retail analytics solutions is quite high, due to the involvement of business intelligence and data analytics expertise. Though the deployment of retail analytics solutions would reduce the operating costs by providing actionable insights, streamline team efforts to receive actionable insights from the collected data, and enhance the overall enterprise performance, the initial cost required to set up retail analytics solutions may act as a barrier. Therefore, the adoption of retail analytics solutions may exhibit a slow pace in small enterprises.

Key players in the market include 1010data (US), Angoss Software (Canada), BRIDGEi2i (India), Capillary Technologies (Singapore), Diaspark (US), FLIR Systems (US), Fujitsu (Japan), GainInsights Solutions (India), Happiest Minds (India), Information Builders (US), IntelliVision (US), IBM (US), LoyaltyOne (Canada), Manthan Software Services (India), Microsoft (US), MicroStrategy (US), Oracle (US), QBurst (India), Qlik Technologies (US), RetailNext (US), SAP (Germany), SAS Institute (US), Trax (Singapore), Visual BI Solutions (US), and Zebra Technologies (US). These players are increasingly undertaking mergers and acquisitions, and product launches to develop and introduce new technologies and products in the market.

To speak to our analyst for a discussion on the above findings, click Speak to Analyst

Table of Contents

1 Introduction (Page No. - 16)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Market Scope
    1.4 Years Considered for the Study
    1.5 Currency
    1.6 Stakeholders

2 Research Methodology (Page No. - 20)
    2.1 Research Data
           2.1.1 Secondary Data
           2.1.2 Primary Data
                    2.1.2.1 Breakdown of Primaries
                               2.1.2.1.1 Key Industry Insights
    2.2 Market Size Estimation
    2.3 Microquadrant Methodology
           2.3.1 Vendor Inclusion Criteria
    2.4 Research Assumptions
    2.5 Limitations

3 Executive Summary (Page No. - 27)

4 Remium Insights (Page No. - 31)
    4.1 Attractive Opportunities in Global Retail Analytics Market
    4.2 Global Market By Region
    4.3 Global Market By Application and Region
    4.4 Lifecycle Analysis, By Region, 2017

5 Market Overview and Industry Trends (Page No. - 35)
    5.1 Market Overview
           5.1.1 Introduction
           5.1.2 Market Dynamics
                    5.1.2.1 Drivers
                               5.1.2.1.1 Growing Internet Penetration
                               5.1.2.1.2 Technological Advancements, Such as Machine Learning, AI, and AR
                               5.1.2.1.3 Increased Use of Data-Intensive Platforms and Rapid Adoption of Social Media
                    5.1.2.2 Restraints
                               5.1.2.2.1 Lack of Skilled Personnel
                               5.1.2.2.2 High Initial Setup Costs
                    5.1.2.3 Opportunities
                               5.1.2.3.1 Advent of Cloud-Based Analytics
                               5.1.2.3.2 Growing Inclination of Vendors Toward Merging In-Store and Digital Operations
                    5.1.2.4 Challenges
                               5.1.2.4.1 Complexities in Gathering and Integrating Data From Omnichannel E-Commerce Streams
                               5.1.2.4.2 Increased Consumer Preferences
    5.2 Industry Trends
           5.2.1 Retail Analytics: Use Cases
                    5.2.1.1 Use Case #1: Deliver Personalized Interactions
                    5.2.1.2 Use Case #2: Understand Buying Patterns
                    5.2.1.3 Use Case #3: Understand Customer Needs
                    5.2.1.4 Use Case #4: Provide Cross-Selling Opportunities
                    5.2.1.5 Use Case #5: Market Basket Analysis
                    5.2.1.6 Use Case #6: Analyze Customer Footfall
                    5.2.1.7 Use Case #7: Increase Customer Base and Improve Loyalty
                    5.2.1.8 Use Case #8: Enhance On-Shelf Availability
                    5.2.1.9 Use Case #9: Enhance Sales, Cross-Selling, Up-Selling, and Workforce Optimization
    5.3 Retail Analytics, Key Performance Indicators (KPIS)

6 Global Retail Analytics Market Analysis, By Application (Page No. - 47)
    6.1 Introduction
    6.2 Merchandising Analysis
           6.2.1 Space Planning and Optimization
           6.2.2 Product Category Analysis
           6.2.3 Storefront Layout Analysis
    6.3 Pricing Analysis
           6.3.1 Campaign Management
           6.3.2 Loyalty Management
           6.3.3 Cross-Sell/Upsell and Point of Sale
    6.4 Customer Management
           6.4.1 Customer Segmentation, Retention, and Acquisition
           6.4.2 Fraud and Risk Management
           6.4.3 Demographic Analysis
    6.5 Performance Analysis
           6.5.1 Workforce Optimization
           6.5.2 Top-Performing Categories and Product Identification
    6.6 Yield Analysis
           6.6.1 Baseline Forecasting
           6.6.2 Sales Forecasting
           6.6.3 Market Basket Analysis
    6.7 Inventory Analysis
           6.7.1 Vendor Management
           6.7.2 Replenishment Plan
    6.8 Others
           6.8.1 Order Management
           6.8.2 Transportation Management
           6.8.3 Assortment and Cluster Planning
           6.8.4 Real-Estate Planning

7 Global Retail Analytics Market Analysis, By Business Function (Page No. - 58)
    7.1 Introduction
    7.2 Finance
    7.3 Sales
    7.4 Marketing
    7.5 Supply Chain
    7.6 Store Operations

8 Global Retail Analytics Market Analysis, By Component (Page No. - 64)
    8.1 Introduction
           8.1.1 Software
           8.1.2 Services
                    8.1.2.1 Professional Services
                               8.1.2.1.1 Implementation and Consulting Services
                               8.1.2.1.2 Training and Support
                    8.1.2.2 Managed Services

9 Global Market Analysis, By Deployment Model (Page No. - 70)
    9.1 Introduction
    9.2 On-Premises
    9.3 On-Demand

10 Global Retail Analytics Market Analysis, By Organization Size (Page No. - 74)
     10.1 Introduction
     10.2 Smes
     10.3 Large Enterprises

11 Global Market Analysis, By End-User (Page No. - 78)
     11.1 Introduction
     11.2 Online
             11.2.1 Mobiles
             11.2.2 Personal Computers(Pcs) and Laptops
     11.3 Offline
             11.3.1 Supermarkets
             11.3.2 Department Stores
             11.3.3 Specialty Stores
             11.3.4 Others

12 Geographic Analysis (Page No. - 83)
     12.1 Introduction
     12.2 North America
             12.2.1 By Application
             12.2.2 By Business Function
             12.2.3 By Component
             12.2.4 By Deployment Model
             12.2.5 By Organization Size
             12.2.6 By End-User
             12.2.7 By Country
                        12.2.7.1 United States
                        12.2.7.2 Canada
     12.3 Europe
             12.3.1 By Application
             12.3.2 By Business Function
             12.3.3 By Component
             12.3.4 By Deployment Model
             12.3.5 By Organization Size
             12.3.6 By End-User
             12.3.7 By Country
                        12.3.7.1 United Kingdom
                        12.3.7.2 Germany
                        12.3.7.3 Rest of Europe
     12.4 APAC
             12.4.1 By Application
             12.4.2 By Business Function
             12.4.3 By Component
             12.4.4 By Deployment Model
             12.4.5 By Organization Size
             12.4.6 By End-User
             12.4.7 By Country
                        12.4.7.1 China
                        12.4.7.2 India
                        12.4.7.3 Rest of APAC
     12.5 MEA
             12.5.1 By Application
             12.5.2 By Business Function
             12.5.3 By Component
             12.5.4 By Deployment Model
             12.5.5 By Organization Size
             12.5.6 By End-User
             12.5.7 By Country
                        12.5.7.1 Middle-East
                        12.5.7.2 Africa
     12.6 Latin America
             12.6.1 By Application
             12.6.2 By Business Function
             12.6.3 By Component
             12.6.4 By Deployment Model
             12.6.5 By Organization Size
             12.6.6 By End-User
             12.6.7 By Country
                        12.6.7.1 Brazil
                        12.6.7.2 Mexico
                        12.6.7.3 Rest of Latin America

13 Competitive Landscape (Page No. - 105)
     13.1 Microquadrant Overview
             13.1.1 Visionary Leaders
             13.1.2 Innovators
             13.1.3 Dynamic Differentiators
             13.1.4 Emerging Companies
     13.2 Global Retail Analytics Market, Competitive Leadership Mapping, 2017
     13.3 Competitive Benchmarking
             13.3.1 Business Strategy Excellence Adopted By Major Players in Global Market
             13.3.2 Strength of Product Portfolio Adopted By Major Players in Global Market

14 Company Profiles (Page No. - 110)
(Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments)*
     14.1 IBM
     14.2 Oracle
     14.3 Microsoft
     14.4 Manthan
     14.5 Fujitsu
     14.6 Information Builders
     14.7 Microstrategy
     14.8 SAP
     14.9 Bridgei2i
     14.10 SAS Institute
     14.11 Qlik
     14.12 1010data
     14.13 Angoss

*Details on Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments Might Not Be Captured in Case of Unlisted Companies.

15 Appendix (Page No. - 155)
     15.1 Discussion Guide
     15.2 Knowledge Store: Marketsandmarkets’ Subscription Portal
     15.3 Introducing RT: Real-Time Market Intelligence
     15.4 Available Customizations
     15.5 Related Reports
     15.6 Author Details


List of Tables (66 Tables)

Table 1 USD Exchange Rate, 2014–2016
Table 2 Evaluation Criteria
Table 3 Global Retail Analytics Market Size, By Application, 2015–2022 (USD Million)
Table 4 Merchandising Analysis: Market Size, By Region, 2015–2022 (USD Million)
Table 5 Pricing Analysis: Market Size, By Region, 2015–2022 (USD Million)
Table 6 Customer Management: Market Size, By Region, 2015–2022 (USD Million)
Table 7 Performance Analysis: Market Size, By Region, 2015–2022 (USD Million)
Table 8 Yield Analysis: Market Size, By Region, 2015–2022 (USD Million)
Table 9 Inventory Analysis: Market Size, By Region, 2015–2022 (USD Million)
Table 10 Others: Market Size, By Region, 2015–2022 (USD Million)
Table 11 Global Market Size, By Business Function, 2015–2022 (USD Million)
Table 12 Finance: Market Size, By Region, 2015–2022 (USD Million)
Table 13 Sales: Market Size, By Region, 2015–2022 (USD Million)
Table 14 Marketing: Market Size, By Region, 2015–2022 (USD Million)
Table 15 Supply Chain: Market Size, By Region, 2015–2022 (USD Million)
Table 16 Store Operations: Market Size, By Region, 2015–2022 (USD Million)
Table 17 Global Market Size, By Component, 2015–2022 (USD Million)
Table 18 Software: Market Size, By Region, 2015–2022 (USD Million)
Table 19 Retail Analytics Market Size, By Service, 2015–2022 (USD Million)
Table 20 Services: Market Size, By Region, 2015–2022 (USD Million)
Table 21 Global Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 22 On-Premises: Market Size, By Region, 2015–2022 (USD Million)
Table 23 On-Demand: Market Size, By Region, 2015–2022 (USD Million)
Table 24 Global Market Size, By Organization Size, 2015–2022 (USD Million)
Table 25 Smes: Market Size, By Region, 2015–2022 (USD Million)
Table 26 Large Enterprises: Market Size, By Region, 2015–2022 (USD Million)
Table 27 Global Market Size, By End-User, 2015–2022 (USD Million)
Table 28 Online: Market Size, By Region, 2015–2022 (USD Million)
Table 29 Offline: Market Size, By Region, 2015–2022 (USD Million)
Table 30 Global Market Size, By Region, 2015–2022 (USD Billion)
Table 31 North America: Retail Analytics Market Size, By Application, 2015–2022 (USD Million)
Table 32 North America: Market Size, By Business Function, 2015–2022 (USD Million)
Table 33 North America: Market Size, By Component, 2015–2022 (USD Million)
Table 34 North America: Market Size, By Service, 2015–2022 (USD Million)
Table 35 North America: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 36 North America: Market Size, By Organization Size, 2015–2022 (USD Million)
Table 37 North America: Market Size, By End-User, 2015–2022 (USD Million)
Table 38 Europe: Retail Analytics Market Size, By Application, 2015–2022 (USD Million)
Table 39 Europe: Market Size, By Business Function, 2015–2022 (USD Million)
Table 40 Europe: Market Size, By Component, 2015–2022 (USD Million)
Table 41 Europe: Market Size, By Service, 2015–2022 (USD Million)
Table 42 Europe: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 43 Europe: Market Size, By Organization Size, 2015–2022 (USD Million)
Table 44 Europe: Market Size, By End-User, 2015–2022 (USD Million)
Table 45 APAC: Retail Analytics Market Size, By Application, 2015–2022 (USD Million)
Table 46 APAC: Market Size, By Business Function, 2015–2022 (USD Million)
Table 47 APAC: Market Size, By Component, 2015–2022 (USD Million)
Table 48 APAC: Market Size, By Service, 2015–2022 (USD Million)
Table 49 APAC: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 50 APAC: Market Size, By Organization Size, 2015–2022 (USD Million)
Table 51 APAC: Market Size, By End-User, 2015–2022 (USD Million)
Table 52 MEA: Retail Analytics Market Size, By Application, 2015–2022 (USD Million)
Table 53 MEA: Market Size, By Business Function, 2015–2022 (USD Million)
Table 54 MEA: Market Size, By Component, 2015–2022 (USD Million)
Table 55 MEA: Market Size, By Service, 2015–2022 (USD Million)
Table 56 MEA: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 57 MEA: Market Size, By Organization Size, 2015–2022 (USD Million)
Table 58 MEA: Market Size, By End-User, 2015–2022 (USD Million)
Table 59 Latin America: Retail Analytics Market Size, By Application, 2015–2022 (USD Million)
Table 60 Latin America: Market Size, By Business Function, 2015–2022 (USD Million)
Table 61 Latin America: Market Size, By Component, 2015–2022 (USD Million)
Table 62 Latin America: Market Size, By Service, 2015–2022 (USD Million)
Table 63 Latin America: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 64 Latin America: Market Size, By Organization Size, 2015–2022 (USD Million)
Table 65 Latin America: Market Size, By End-User, 2015–2022 (USD Million)
Table 66 Market Ranking for Global Retail Analytics Market, 2017


List of Figures (36 Figures)

Figure 1 Retail Analytics Market: Market Segmentation
Figure 2 Market Research Design
Figure 3 Breakdown of Primary Interviews: By Company, Designation, and Region
Figure 4 Data Triangulation
Figure 5 Market Size Estimation Methodology: Bottom-Up Approach
Figure 6 Market Size Estimation Methodology: Top-Down Approach
Figure 7 Global Market: Assumptions
Figure 8 Global Market: Evolution
Figure 9 Global Market to Witness Significant Growth During the Forecast Period, Due to Increasing Internet Use
Figure 10 Global Retail Analytics Market Snapshot, By Component (2017–2022)
Figure 11 Global Market Snapshot, By Application (2017–2022)
Figure 12 Global Market Snapshot, By Business Function (2017–2022)
Figure 13 Global Market Snapshot, By Deployment Model (2017–2022)
Figure 14 Increased Use of Data-Intensive Platforms to Drive Retail Analytics Market Growth During the Forecast Period
Figure 15 North America to Lead Global Retail Analytics Market in 2017
Figure 16 Merchandising Analysis Application and North America to Hold Largest Market Shares in 2017
Figure 17 APAC to Enter Exponential Growth Phase During the Forecast Period
Figure 18 Global Market Drivers, Restraints, Opportunities, and Challenges
Figure 19 Increasing Global Internet Usage
Figure 20 Global Retail Analytics Market: KPIS
Figure 21 Merchandising Analysis Segment to Lead Global Market By Application, 2017-2022 (USD Million)
Figure 22 Supply Chain Segment to Lead Global Market,By Business Function, 2017-2022 (USD Million)
Figure 23 Software Segment to Lead Global Market,By Component, 2017-2022 (USD Million)
Figure 24 On-Premises Segment to Lead Global Market,By Deployment Model, 2017-2022 (USD Million)
Figure 25 Large Enterprises Segment to Lead Global Market By Organization Size, 2017-2022 (USD Million)
Figure 26 Offline Segment to Lead Global Market By End-User, 2017-2022 (USD Million)
Figure 27 North America to Lead Global Retail Analytics Market,2017-2022 (USD Million)
Figure 28 North America: Market Snapshot
Figure 29 APAC: Market Snapshot
Figure 30 IBM: Company Snapshot
Figure 31 Oracle: Company Snapshot
Figure 32 Microsoft: Company Snapshot
Figure 33 Fujitsu: Company Snapshot
Figure 34 Microstrategy: Company Snapshot
Figure 35 SAP: Company Snapshot
Figure 36 SAS Institute: Company Snapshot


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