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 - Product Image

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

  • ID: 4376308
  • Report
  • Region: Global
  • 169 Pages
  • Markets and Markets
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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 CAGR of 19.7%

FEATURED COMPANIES

  • 1010data
  • Bridgei2i
  • IBM
  • Manthan
  • Microstrategy
  • Qlik
  • MORE

Advancement in technologies, such as machine learning, artificial intelligence, and augmented reality is one of the drivers for the growth of the retail analytics market

The retail analytics market size 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, increased use of data-intensive platforms, and rapid adoption of social media are some of the factors that have significantly fuelled the growth of retail analytics solutions. However, lack of skilled personnel and high initial setup costs are the restraining factors for the retail analytics market.

Customer management application is expected to be the highest growing segment in the retail analytics market

The customer management and analytics portfolio enable the retailers to imply 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 toward the understanding of consumer behavior is getting the quantified data on real time consumer activities. Vendors providing consumer management analytics solutions consistently tracks 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 many more.

Asia Pacific (APAC) is expected to have the highest growth rate in the retail analytics market by region

The APAC region consists of countries such as China, India, Japan, South Korea, and others. Increasing digitalization and growing internet penetration have resulted in higher penetration of eCommerce retailers in the APAC region. In addition, the growth of faster internet service coupled with higher mobile uptake is creating stiff competition in the retail analytics market. The region is witnessing increasing demand for cloud-based analytics solutions owing to the increasing size of SMB retailers.

Further, companies operating in the market will continue to focus on improving their customer service to drive competitive differentiation and revenue growth. Fast-growing countries, in terms of industrial growth and economy, such as China, India, Vietnam, Malaysia, and Thailand are rapidly moving toward the adoption of advanced retail analytics solutions.

In the process of determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews were conducted with key people. The break-up of the profile of primaryparticipants is as follows:

  • By Company: Tier 1 - 23 %, Tier 2 -27%, and Tier 3 -50%
  • By Designation: C level - 13%, Director level - 42%, and Others - 45%
  • By Region: North America - 30%, Europe - 10%, and APAC - 60%

The retail analytics market comprises following major vendors:

  • 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)

Research Report:

The report segments the retail analytics market on the basis of applications (merchandising analysis, pricing analysis, customer management, performance analysis, yield analysis, inventory analysis, and others (order management, transportation management, assortment and cluster planning, real-estate planning); business functions (finance, sales, marketing, supply chain, and store operation); components (software and services) deployment models (on-premises and on-demand); organization sizes (SMEs and large enterprises); end-users (online, and offline) and regions (North America, Europe, APAC, Middle East and Africa (MEA), and Latin America).

Reasons to Buy the Report:

  • To get a comprehensive overview of the global retail analytics market
  • To gain wide-ranging information about the top players in this market, their product portfolios, and the key strategies adopted by them
  • To gain insights into the major countries/regions, in which the retail analytics market is flourishing across various industry verticals
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FEATURED COMPANIES

  • 1010data
  • Bridgei2i
  • IBM
  • Manthan
  • Microstrategy
  • Qlik
  • MORE

1 Introduction
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
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

4 Remium Insights
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
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
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
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
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
9.1 Introduction
9.2 On-Premises
9.3 On-Demand

10 Global Retail Analytics Market Analysis, By Organization Size
10.1 Introduction
10.2 Smes
10.3 Large Enterprises

11 Global Market Analysis, By End-User
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
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
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
(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
15.1 Discussion Guide
15.3 Introducing RT: Real-Time Market Intelligence
15.4 Available Customizations
15.5 Related Reports
15.6 Author Details

List of 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
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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  • 1010data
  • Angoss
  • Bridgei2i
  • Fujitsu
  • IBM
  • Information Builders
  • Manthan
  • Microsoft
  • Microstrategy
  • Oracle
  • Qlik
  • SAP
  • SAS Institute
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