HOME Top Market Reports 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

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

By: marketsandmarkets.com
Publishing Date: August 2017
Report Code: TC 2663

 

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The retail analytics market size 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%. The base year considered for this report is 2016 and the forecast period is 2017–2022.

Objectives of the Study

The main objective of this report is to define, describe, and forecast the global retail analytics market on the basis of applications, business functions, components, deployment models, organizations sizes, end-users, and regions. The report contains analysis of the major factors influencing the growth of the market (drivers, restraints, opportunities, and challenges). It aims to strategically analyze the micromarkets with respect to individual growth trends, prospects, and their contribution to the market. The report attempts to forecast the market size for 5 major regions, namely, North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America. It contains key vendor profiles and comprehensively analyzes their core competencies. The report also tracks and analyzes competitive developments, including partnerships, collaborations, acquisitions, new product developments, and R&D activities in the 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 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 breakdown of primary profiles is depicted in the below figure:

Retail Analytics Market

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

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

Key Target Audience

  • 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

“Study answers several questions for the stakeholders, primarily which market segments to focus in the next 2–5 years for prioritizing the efforts and investments.”

Scope of the Report

The research report categorizes the retail analytics market to forecast the revenues and analyze the trends in each of the following subsegments:

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

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific requirements. The following customization options are available for the report:

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 market
  • Further breakdown of the APAC market
  • Further breakdown of the MEA market
  • Further breakdown of the Latin American market

Company Information

Detailed profiling and analysis of additional market players

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

The 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%. Advancement in technologies, such as machine learning, Artificial Intelligence (AI), and augmented reality, and increased used of data-intensive platforms and rapid adoption of social media are some of the key drivers of this market.

The report provides detailed insights into the global retail analytics market, which is segmented on the basis of applications, business functions, components, deployment models, organization sizes, and regions. In the retail analytics market, the supply chain business function is expected to hold the largest market share during the forecast period. With the intense market competition and declining customer loyalty in the retail industry, supply chain plays a vital role in terms of revenue optimization. If a customer enters a retail store or logs-in into any eCommerce website and fails to find the product as per his requirement, it ultimately results in loss of revenue and can even lead to client loss. The key analytical software for supply chain in the retail sector is focused on inventory management, supply and demand forecasting, and vendor management among others.

Large enterprises have a high adoption rate as compared to the SMEs. Large size retailers have started investing in digital capabilities and analytic solutions to effectively compete and become better aligned with changing consumer preferences. The adoption of analytics solutions enables retailers to make quick and effective business decision based on real-time data.

The offline end-user is expected to have the largest market size during the forecast period. The emergence of real-time analytics is one of the drivers that trigger the adoption of retail analytics software. Vendors are deploying the software either on-premises or on-cloud to gain actionable insights on customers shopping behavior. Retail chains have deployed sensors and cameras to gain the understanding of the products that customers are more liable to buy. Moreover, the analytics is also being used to forecast demand analysis, proper inventory management, and to formulate a proper risk management process for the company. Retail stores are sub-segmented into supermarkets, department stores, specialty stores, and others which include convenience stores and kiosks.

Retail Analytics Market

The report covers all the major aspects of the retail analytics market and provides an in-depth analysis across the regions of North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America. The market in North America is expected to hold the largest market share, whereas the APAC region is projected to provide significant opportunities in this market and expected to grow at the highest CAGR during the forecast period.

The deployment of retail analytics software is intensifying owing to the constant pressures that stem from the competitive environment the retail industry works in. The only way to gain a competitive edge in this market is to embrace the use of “big data” and qualitative data to maximize the engagement with consumers, and improve their shopping experience. As retail analytics technology is evolving, new paradigms are getting integrated such as machine learning and artificial intelligence which will be instrumental in improving customer shopping experience and help retailers to drive sales and increase customer loyalty significantly. The retail analytics market encompasses many players, such as International Business Machines Corporation, Microsoft Corporation, SAP SE, and SAS Institute Inc., who have adopted numerous growth strategies, such as mergers and acquisitions, new product launches, and business expansions to enhance their market share. The companies are increasingly deploying both organic as well as inorganic strategies to drive their growth in the growing retail analytics market. The North American region is touted as the largest adopter of retail analytics software and services. The unprecedented success witnessed by retail chains such as Walmart and The Kroger Company with their super efficient inventory management, logistics capabilities are some of the case studies which would ensure other retailers also to follow similar suit to gain a competitive advantage in the market. Similarly, high growth of eCommerce will also play a prominent role in the adoption of retail analytics software. According to National Retail Federation, the US eCommerce market is estimated to grow between 8–12% in 2017. eCommerce players will not only use the power of analytics to forecasts the demands of products and inventory analysis but also comprehend sentimental analysis on numerous social media platforms such as Twitter and Facebook.

The lack of skilled personnel and high initial setup costs are the major restraining factor for the growth of the retail analytics market. Complexities in gathering and integrating data from omnichannel commerce streams and increased consumer preferences are the challenges in adopting retail analytics software and services.

Most of the vendors have adopted acquisitions, agreements, collaborations and partnerships, new product launches, product upgradations, and expansions as their key strategies to expand their client base and enhance the customer experience.

For instance, in January 2016, Fujitsu Limited and Cisco Systems expanded their partnership to provide retailers advanced in-store computing and analytics solutions. Fujitsu Limited plans to resell, distribute, and offer Cisco System’s solutions to retailers across North America for maximizing in-store customer engagement, retention, and sales. The strategy of new product launch has also been adopted by the top players to enhance their presence and dominance in this market. For example, in January 2017, Oracle Corporation introduced the Oracle Retail Release 16 Suite, which empowers retailers to deliver a unified customer experience across various geographic locations. This suite provides cloud-based and on-premises solutions to enterprises of all sizes.

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

Available Customizations Title

Client Customization Problem Statement :

Retail Analytics Market

Solution Provided:

MnM’s client was interested in the company profiles of Prism Skylabs and RetailNext, prominent players ....

MnM’s client was interested in the company profiles of Prism Skylabs and RetailNext, prominent players of ‘in-store analytics’ solutions. Area of interest included insights on ‘merchandising and in-store analytics’ segment of retail analytics market.

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