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[ 英語タイトル ] 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 Code : MNMICT00108628
Survey : MarketsandMarkets
Publish On : July, 2021
Category : ICT and Telecom
Study Area : Global
Report format : PDF
Sales price option (consumption tax not included)
Single User USD7150 / Question Form
5 User USD8500 / Question Form
Enterprise User USD11000 / Question Form

[Report Description]

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 primary participants 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:
1. 1010data, Inc. (US)
2. Angoss Software Corporation (Canada)
3. BRIDGEi2i Analytics Solutions Private Limited (India)
4. Capillary Technologies (Singapore)
5. Diaspark Inc. (US)
6. FLIR Systems, Inc. (US)
7. Fujitsu Limited (Japan)
8. GainInsights Solutions Pvt. Ltd. (India)
9. Happiest Minds (India)
10. 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.

TABLE OF CONTENTS

1 INTRODUCTION 16
1.1 OBJECTIVES OF THE STUDY 16
1.2 MARKET DEFINITION 16
1.3 MARKET SCOPE 17
1.4 YEARS CONSIDERED FOR THE STUDY 18
1.5 CURRENCY 18
1.6 STAKEHOLDERS 19
2 RESEARCH METHODOLOGY 20
2.1 RESEARCH DATA 20
2.1.1 SECONDARY DATA 21
2.1.2 PRIMARY DATA 21
2.1.2.1 Breakdown of primaries 22
2.1.2.1.1 Key industry insights 23
2.2 MARKET SIZE ESTIMATION 24
2.3 MICROQUADRANT METHODOLOGY 26
2.3.1 VENDOR INCLUSION CRITERIA 26
2.4 RESEARCH ASSUMPTIONS 27
2.5 LIMITATIONS 27
3 EXECUTIVE SUMMARY 28
4 REMIUM INSIGHTS 32
4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE RETAIL ANALYTICS MARKET 32
4.2 RETAIL ANALYTICS MARKET, BY REGION 33
4.3 RETAIL ANALYTICS MARKET, BY APPLICATION AND REGION 34
4.4 LIFECYCLE ANALYSIS, BY REGION, 2017 35
5 MARKET OVERVIEW AND INDUSTRY TRENDS 36
5.1 MARKET OVERVIEW 36
5.1.1 INTRODUCTION 36
5.1.2 MARKET DYNAMICS 36
5.1.2.1 Drivers 37
5.1.2.1.1 Growing internet penetration 37
5.1.2.1.2 Advancement in technologies, such as machine learning, artificial intelligence, and augmented reality 38
5.1.2.1.3 Increased use of data-intensive platforms and rapid adoption of social media 39
5.1.2.2 Restraints 40
5.1.2.2.1 Lack of skilled personnel 40
5.1.2.2.2 High initial setup costs 40
5.1.2.3 Opportunities 40
5.1.2.3.1 Advent of cloud-based analytics 40
5.1.2.3.2 Growing inclination of vendors toward merging in-store and digital operations 41
5.1.2.4 Challenges 42
5.1.2.4.1 Complexities in gathering and integrating data from omnichannel eCommerce streams 42
5.1.2.4.2 Increased consumer preferences 42
5.2 INDUSTRY TRENDS 43
5.2.1 RETAIL ANALYTICS: USE CASES 43
5.2.1.1 USE CASE #1: Deliver personalized interactions 43
5.2.1.2 USE CASE #2: Understand buying patterns 44
5.2.1.3 USE CASE #3: Understand customer needs 45
5.2.1.4 USE CASE #4: Provide cross-selling opportunities 46
5.2.1.5 USE CASE #5: Market basket analysis 46
5.2.1.6 USE CASE #6: Analyze customer footfall 47
5.2.1.7 USE CASE #7: Increase customer base and improve loyalty 47
5.2.1.8 USE CASE #8: Enhance on-shelf availability 48
5.2.1.9 USE CASE #9: Enhance sales, cross-selling, up-selling, and workforce optimization 48
5.3 RETAIL ANALYTICS, KEY PERFORMANCE INDICATORS 49
6 RETAIL ANALYTICS MARKET ANALYSIS, BY APPLICATION 50
6.1 INTRODUCTION 51
6.2 MERCHANDISING ANALYSIS 52
6.2.1 SPACE PLANNING AND OPTIMIZATION 52
6.2.2 PRODUCT CATEGORY ANALYSIS 52
6.2.3 STOREFRONT LAYOUT ANALYSIS 53
6.3 PRICING ANALYSIS 53
6.3.1 CAMPAIGN MANAGEMENT 53
6.3.2 LOYALTY MANAGEMENT 54
6.3.3 CROSS-SELL/UPSELL AND POINT OF SALE 54
6.4 CUSTOMER MANAGEMENT 54
6.4.1 CUSTOMER SEGMENTATION, RETENTION, AND ACQUISITION 55
6.4.2 FRAUD AND RISK MANAGEMENT 55
6.4.3 DEMOGRAPHIC ANALYSIS 55
6.5 PERFORMANCE ANALYSIS 55
6.5.1 WORKFORCE OPTIMIZATION 56
6.5.2 TOP PERFORMING CATEGORIES AND PRODUCT IDENTIFICATION 56

6.6 YIELD ANALYSIS 57
6.6.1 BASELINE FORECASTING 57
6.6.2 SALES FORECASTING 57
6.6.3 MARKET BASKET ANALYSIS 57
6.7 INVENTORY ANALYSIS 58
6.7.1 VENDOR MANAGEMENT 58
6.7.2 REPLENISHMENT PLAN 58
6.8 OTHERS 59
6.8.1 ORDER MANAGEMENT 59
6.8.2 TRANSPORTATION MANAGEMENT 59
6.8.3 ASSORTMENT AND CLUSTER PLANNING 59
6.8.4 REAL-ESTATE PLANNING 59
7 RETAIL ANALYTICS MARKET ANALYSIS, BY BUSINESS FUNCTION 61
7.1 INTRODUCTION 62
7.2 FINANCE 63
7.3 SALES 63
7.4 MARKETING 64
7.5 SUPPLY CHAIN 65
7.6 STORE OPERATIONS 66
8 RETAIL ANALYTICS MARKET ANALYSIS, BY COMPONENT 67
8.1 INTRODUCTION 68
8.1.1 SOFTWARE 69
8.1.2 SERVICES 70
8.1.2.1 Professional services 71
8.1.2.1.1 Implementation and consulting services 71
8.1.2.1.2 Training and support 71
8.1.2.2 Managed services 71
9 RETAIL ANALYTICS MARKET ANALYSIS, BY DEPLOYMENT MODEL 73
9.1 INTRODUCTION 74
9.2 ON-PREMISES 75
9.3 ON-DEMAND 76
10 RETAIL ANALYTICS MARKET ANALYSIS, BY ORGANIZATION SIZE 77
10.1 INTRODUCTION 78
10.2 SMALL AND MEDIUM-SIZED ENTERPRISES 79
10.3 LARGE ENTERPRISES 80

11 RETAIL ANALYTICS MARKET ANALYSIS, BY END-USER 81
11.1 INTRODUCTION 82
11.2 ONLINE 83
11.2.1 MOBILES 83
11.2.2 PERSONAL COMPUTERS AND LAPTOPS 83
11.3 OFFLINE 84
11.3.1 SUPERMARKETS 84
11.3.2 DEPARTMENT STORES 84
11.3.3 SPECIALTY STORES 85
11.3.4 OTHERS 85
12 GEOGRAPHIC ANALYSIS 86
12.1 INTRODUCTION 87
12.2 NORTH AMERICA 88
12.2.1 BY APPLICATION 90
12.2.2 BY BUSINESS FUNCTION 90
12.2.3 BY COMPONENT 91
12.2.4 BY DEPLOYMENT MODEL 91
12.2.5 BY ORGANIZATION SIZE 92
12.2.6 BY END-USER 92
12.2.7 BY COUNTRY 92
12.2.7.1 United States 92
12.2.7.2 Canada 93
12.3 EUROPE 93
12.3.1 BY APPLICATION 93
12.3.2 BY BUSINESS FUNCTION 94
12.3.3 BY COMPONENT 94
12.3.4 BY DEPLOYMENT MODEL 95
12.3.5 BY ORGANIZATION SIZE 95
12.3.6 BY END-USER 96
12.3.7 BY COUNTRY 96
12.3.7.1 United Kingdom 96
12.3.7.2 Germany 96
12.3.7.3 Rest of Europe 96
12.4 ASIA PACIFIC 96
12.4.1 BY APPLICATION 98
12.4.2 BY BUSINESS FUNCTION 98
12.4.3 BY COMPONENT 99
12.4.4 BY DEPLOYMENT MODEL 99
12.4.5 BY ORGANIZATION SIZE 100
12.4.6 BY END-USER 100
12.4.7 BY COUNTRY 100
12.4.7.1 China 100
12.4.7.2 India 101
12.4.7.3 Rest of Asia Pacific 101
12.5 MIDDLE EAST AND AFRICA 101
12.5.1 BY APPLICATION 102
12.5.2 BY BUSINESS FUNCTION 102
12.5.3 BY COMPONENT 103
12.5.4 BY DEPLOYMENT MODEL 103
12.5.5 BY ORGANIZATION SIZE 104
12.5.6 BY END-USER 104
12.5.7 BY COUNTRY 104
12.5.7.1 Middle East 104
12.5.7.2 Africa 104
12.6 LATIN AMERICA 105
12.6.1 BY APPLICATION 105
12.6.2 BY BUSINESS FUNCTION 106
12.6.3 BY COMPONENT 106
12.6.4 BY DEPLOYMENT MODEL 107
12.6.5 BY ORGANIZATION SIZE 107
12.6.6 BY END-USER 108
12.6.7 BY COUNTRY 108
12.6.7.1 Brazil 108
12.6.7.2 Mexico 108
12.6.7.3 Rest of Latin America 108
13 COMPETITIVE LANDSCAPE 109
13.1 MICROQUADRANT OVERVIEW 109
13.1.1 VISIONARY LEADERS 109
13.1.2 INNOVATORS 109
13.1.3 DYNAMIC DIFFERENTIATORS 109
13.1.4 EMERGING COMPANIES 109
13.2 RETAIL ANALYTICS MARKET (GLOBAL), COMPETITIVE LEADERSHIP MAPPING, 2017 110
13.3 COMPETITIVE BENCHMARKING 111
13.3.1 BUSINESS STRATEGY EXCELLENCE ADOPTED BY MAJOR PLAYERS IN THE RETAIL ANALYTICS MARKET 111
13.3.2 STRENGTH OF PRODUCT PORTFOLIO ADOPTED BY MAJOR PLAYERS IN THE RETAIL ANALYTICS MARKET 112

14 COMPANY PROFILES 114
(Business Overview, Strength of product portfolio, Business strategy excellence, Recent developments)*
14.1 INTERNATIONAL BUSINESS MACHINES (IBM) CORPORATION 114
14.2 ORACLE CORPORATION 118
14.3 MICROSOFT CORPORATION 122
14.4 MANTHAN SOFTWARE SERVICES PVT. LTD. 126
14.5 FUJITSU LIMITED 131
14.6 INFORMATION BUILDERS 134
14.7 MICROSTRATEGY INCORPORATED 137
14.8 SAP SE 140
14.9 BRIDGEI2I ANALYTICS SOLUTIONS PRIVATE LIMITED 144
14.10 SAS INSTITUTE INC. 147
14.11 QLIKTECH TECHNOLOGIES INC. 150
14.12 1010DATA, INC. 153
14.13 ANGOSS SOFTWARE CORPORATION 156
*Details on Overview, Strength of product portfolio, Business strategy excellence, Recent developments might not be captured in case of unlisted companies.
15 APPENDIX 159
15.1 DISCUSSION GUIDE 159
15.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 163
15.3 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE 165
15.4 AVAILABLE CUSTOMIZATIONS 166
15.5 RELATED REPORTS 166
15.6 AUTHOR DETAILS 167

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