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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

 

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MarketsandMarkets
マーケッツアンドマーケッツ
2017年8月US$7,150
シングルユーザライセンス
165 102

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幅広い市場に関する調査レポートを出版しているマーケッツアンドマーケッツ(MarketsandMarkets)の小売業の解析市場に関する調査レポートです。

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.
 



目次

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 22
2.2 MARKET SIZE ESTIMATION 23
2.3 MICROQUADRANT METHODOLOGY 25
2.3.1 VENDOR INCLUSION CRITERIA 25
2.4 RESEARCH ASSUMPTIONS 26
2.5 LIMITATIONS 26
3 EXECUTIVE SUMMARY 27
4 REMIUM INSIGHTS 31
4.1 ATTRACTIVE OPPORTUNITIES IN GLOBAL RETAIL ANALYTICS MARKET 31
4.2 GLOBAL RETAIL ANALYTICS MARKET, BY REGION 32
4.3 GLOBAL RETAIL ANALYTICS MARKET, BY APPLICATION AND REGION 33
4.4 LIFECYCLE ANALYSIS, BY REGION, 2017 34
5 MARKET OVERVIEW AND INDUSTRY TRENDS 35
5.1 MARKET OVERVIEW 35
5.1.1 INTRODUCTION 35
5.1.2 MARKET DYNAMICS 35
5.1.2.1 Drivers 36
5.1.2.1.1 Growing internet penetration 36
5.1.2.1.2 Technological advancements, such as machine learning, AI, and AR 37
5.1.2.1.3 Increased use of data-intensive platforms and rapid adoption of social media 38

5.1.2.2 Restraints 39
5.1.2.2.1 Lack of skilled personnel 39
5.1.2.2.2 High initial setup costs 39
5.1.2.3 Opportunities 39
5.1.2.3.1 Advent of cloud-based analytics 39
5.1.2.3.2 Growing inclination of vendors toward merging in-store and digital operations 40
5.1.2.4 Challenges 40
5.1.2.4.1 Complexities in gathering and integrating data from omnichannel e-commerce streams 40
5.1.2.4.2 Increased consumer preferences 41
5.2 INDUSTRY TRENDS 42
5.2.1 RETAIL ANALYTICS: USE CASES 42
5.2.1.1 USE CASE #1: Deliver personalized interactions 42
5.2.1.2 USE CASE #2: Understand buying patterns 42
5.2.1.3 USE CASE #3: Understand customer needs 43
5.2.1.4 USE CASE #4: Provide cross-selling opportunities 43
5.2.1.5 USE CASE #5: Market basket analysis 44
5.2.1.6 USE CASE #6: Analyze customer footfall 44
5.2.1.7 USE CASE #7: Increase customer base and improve loyalty 44
5.2.1.8 USE CASE #8: Enhance on-shelf availability 45
5.2.1.9 USE CASE #9: Enhance sales, cross-selling, up-selling, and workforce optimization 45
5.3 RETAIL ANALYTICS, KEY PERFORMANCE INDICATORS (KPIS) 46
6 GLOBAL RETAIL ANALYTICS MARKET ANALYSIS, BY APPLICATION 47
6.1 INTRODUCTION 48
6.2 MERCHANDISING ANALYSIS 49
6.2.1 SPACE PLANNING AND OPTIMIZATION 49
6.2.2 PRODUCT CATEGORY ANALYSIS 49
6.2.3 STOREFRONT LAYOUT ANALYSIS 50
6.3 PRICING ANALYSIS 50
6.3.1 CAMPAIGN MANAGEMENT 50
6.3.2 LOYALTY MANAGEMENT 51
6.3.3 CROSS-SELL/UPSELL AND POINT OF SALE 51
6.4 CUSTOMER MANAGEMENT 52
6.4.1 CUSTOMER SEGMENTATION, RETENTION, AND ACQUISITION 52
6.4.2 FRAUD AND RISK MANAGEMENT 52
6.4.3 DEMOGRAPHIC ANALYSIS 52
6.5 PERFORMANCE ANALYSIS 53
6.5.1 WORKFORCE OPTIMIZATION 53
6.5.2 TOP-PERFORMING CATEGORIES AND PRODUCT IDENTIFICATION 53

6.6 YIELD ANALYSIS 54
6.6.1 BASELINE FORECASTING 54
6.6.2 SALES FORECASTING 54
6.6.3 MARKET BASKET ANALYSIS 54
6.7 INVENTORY ANALYSIS 55
6.7.1 VENDOR MANAGEMENT 55
6.7.2 REPLENISHMENT PLAN 55
6.8 OTHERS 56
6.8.1 ORDER MANAGEMENT 56
6.8.2 TRANSPORTATION MANAGEMENT 56
6.8.3 ASSORTMENT AND CLUSTER PLANNING 56
6.8.4 REAL-ESTATE PLANNING 56
7 GLOBAL RETAIL ANALYTICS MARKET ANALYSIS, BY BUSINESS FUNCTION 58
7.1 INTRODUCTION 59
7.2 FINANCE 60
7.3 SALES 60
7.4 MARKETING 61
7.5 SUPPLY CHAIN 62
7.6 STORE OPERATIONS 63
8 GLOBAL RETAIL ANALYTICS MARKET ANALYSIS, BY COMPONENT 64
8.1 INTRODUCTION 65
8.1.1 SOFTWARE 66
8.1.2 SERVICES 67
8.1.2.1 Professional services 68
8.1.2.1.1 Implementation and consulting services 68
8.1.2.1.2 Training and support 68
8.1.2.2 Managed services 69
9 GLOBAL RETAIL ANALYTICS MARKET ANALYSIS, BY DEPLOYMENT MODEL 70
9.1 INTRODUCTION 71
9.2 ON-PREMISES 72
9.3 ON-DEMAND 73
10 GLOBAL RETAIL ANALYTICS MARKET ANALYSIS, BY ORGANIZATION SIZE 74
10.1 INTRODUCTION 75
10.2 SMES 76
10.3 LARGE ENTERPRISES 77

11 GLOBAL RETAIL ANALYTICS MARKET ANALYSIS, BY END-USER 78
11.1 INTRODUCTION 79
11.2 ONLINE 80
11.2.1 MOBILES 80
11.2.2 PERSONAL COMPUTERS(PCS) AND LAPTOPS 80
11.3 OFFLINE 81
11.3.1 SUPERMARKETS 81
11.3.2 DEPARTMENT STORES 81
11.3.3 SPECIALTY STORES 82
11.3.4 OTHERS 82
12 GEOGRAPHIC ANALYSIS 83
12.1 INTRODUCTION 84
12.2 NORTH AMERICA 85
12.2.1 BY APPLICATION 86
12.2.2 BY BUSINESS FUNCTION 86
12.2.3 BY COMPONENT 87
12.2.4 BY DEPLOYMENT MODEL 87
12.2.5 BY ORGANIZATION SIZE 88
12.2.6 BY END-USER 88
12.2.7 BY COUNTRY 88
12.2.7.1 United States 88
12.2.7.2 Canada 89
12.3 EUROPE 89
12.3.1 BY APPLICATION 89
12.3.2 BY BUSINESS FUNCTION 90
12.3.3 BY COMPONENT 90
12.3.4 BY DEPLOYMENT MODEL 91
12.3.5 BY ORGANIZATION SIZE 91
12.3.6 BY END-USER 92
12.3.7 BY COUNTRY 92
12.3.7.1 United Kingdom 92
12.3.7.2 Germany 92
12.3.7.3 Rest of Europe 92
12.4 APAC 92
12.4.1 BY APPLICATION 94
12.4.2 BY BUSINESS FUNCTION 94
12.4.3 BY COMPONENT 95
12.4.4 BY DEPLOYMENT MODEL 95
12.4.5 BY ORGANIZATION SIZE 96
12.4.6 BY END-USER 96
12.4.7 BY COUNTRY 96
12.4.7.1 China 96
12.4.7.2 India 97
12.4.7.3 Rest of APAC 97
12.5 MEA 97
12.5.1 BY APPLICATION 98
12.5.2 BY BUSINESS FUNCTION 98
12.5.3 BY COMPONENT 99
12.5.4 BY DEPLOYMENT MODEL 99
12.5.5 BY ORGANIZATION SIZE 100
12.5.6 BY END-USER 100
12.5.7 BY COUNTRY 100
12.5.7.1 Middle-East 100
12.5.7.2 Africa 101
12.6 LATIN AMERICA 101
12.6.1 BY APPLICATION 101
12.6.2 BY BUSINESS FUNCTION 102
12.6.3 BY COMPONENT 102
12.6.4 BY DEPLOYMENT MODEL 103
12.6.5 BY ORGANIZATION SIZE 103
12.6.6 BY END-USER 104
12.6.7 BY COUNTRY 104
12.6.7.1 Brazil 104
12.6.7.2 Mexico 104
12.6.7.3 Rest of Latin America 104
13 COMPETITIVE LANDSCAPE 105
13.1 MICROQUADRANT OVERVIEW 105
13.1.1 VISIONARY LEADERS 105
13.1.2 INNOVATORS 105
13.1.3 DYNAMIC DIFFERENTIATORS 105
13.1.4 EMERGING COMPANIES 105
13.2 GLOBAL RETAIL ANALYTICS MARKET, COMPETITIVE LEADERSHIP MAPPING, 2017 106
13.3 COMPETITIVE BENCHMARKING 107
13.3.1 BUSINESS STRATEGY EXCELLENCE ADOPTED BY MAJOR PLAYERS IN GLOBAL RETAIL ANALYTICS MARKET 107
13.3.2 STRENGTH OF PRODUCT PORTFOLIO ADOPTED BY MAJOR PLAYERS IN GLOBAL RETAIL ANALYTICS MARKET 108

14 COMPANY PROFILES 110
(Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments)*
14.1 IBM 110
14.2 ORACLE 114
14.3 MICROSOFT 118
14.4 MANTHAN 122
14.5 FUJITSU 127
14.6 INFORMATION BUILDERS 130
14.7 MICROSTRATEGY 133
14.8 SAP 136
14.9 BRIDGEI2I 140
14.10 SAS INSTITUTE 143
14.11 QLIK 146
14.12 1010DATA 149
14.13 ANGOSS 152
*Details on Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments might not be captured in case of unlisted companies.
15 APPENDIX 155
15.1 DISCUSSION GUIDE 155
15.2 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 159
15.3 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE 161
15.4 AVAILABLE CUSTOMIZATIONS 162
15.5 RELATED REPORTS 162
15.6 AUTHOR DETAILS 163

 

LIST OF TABLES

TABLE 1 USD EXCHANGE RATE, 2014–2016 18
TABLE 2 EVALUATION CRITERIA 25
TABLE 3 GLOBAL RETAIL ANALYTICS MARKET SIZE, BY APPLICATION,
2015–2022 (USD MILLION) 48
TABLE 4 MERCHANDISING ANALYSIS: RETAIL ANALYTICS MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 50
TABLE 5 PRICING ANALYSIS: RETAIL ANALYTICS MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 51
TABLE 6 CUSTOMER MANAGEMENT: RETAIL ANALYTICS MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 52
TABLE 7 PERFORMANCE ANALYSIS: RETAIL ANALYTICS MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 53
TABLE 8 YIELD ANALYSIS: RETAIL ANALYTICS MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 54
TABLE 9 INVENTORY ANALYSIS: RETAIL ANALYTICS MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 55
TABLE 10 OTHERS: RETAIL ANALYTICS MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 57
TABLE 11 GLOBAL RETAIL ANALYTICS MARKET SIZE, BY BUSINESS FUNCTION,
2015–2022 (USD MILLION) 59
TABLE 12 FINANCE: RETAIL ANALYTICS MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 60
TABLE 13 SALES: RETAIL ANALYTICS MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 61
TABLE 14 MARKETING: RETAIL ANALYTICS MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 61
TABLE 15 SUPPLY CHAIN: RETAIL ANALYTICS MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 62
TABLE 16 STORE OPERATIONS: RETAIL ANALYTICS MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 63
TABLE 17 GLOBAL RETAIL ANALYTICS MARKET SIZE, BY COMPONENT,
2015–2022 (USD MILLION) 65
TABLE 18 SOFTWARE: RETAIL ANALYTICS MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 67
TABLE 19 RETAIL ANALYTICS MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION) 67
TABLE 20 SERVICES: RETAIL ANALYTICS MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 69
TABLE 21 GLOBAL RETAIL ANALYTICS MARKET SIZE, BY DEPLOYMENT MODEL,
2015–2022 (USD MILLION) 71
TABLE 22 ON-PREMISES: RETAIL ANALYTICS MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 72
TABLE 23 ON-DEMAND: RETAIL ANALYTICS MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 73
TABLE 24 GLOBAL RETAIL ANALYTICS MARKET SIZE, BY ORGANIZATION SIZE,
2015–2022 (USD MILLION) 75
TABLE 25 SMES: RETAIL ANALYTICS MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 76
TABLE 26 LARGE ENTERPRISES: RETAIL ANALYTICS MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 77
TABLE 27 GLOBAL RETAIL ANALYTICS MARKET SIZE, BY END-USER,
2015–2022 (USD MILLION) 79
TABLE 28 ONLINE: RETAIL ANALYTICS MARKET SIZE, BY REGION, 2015–2022 (USD MILLION) 81
TABLE 29 OFFLINE: RETAIL ANALYTICS MARKET SIZE, BY REGION,
2015–2022 (USD MILLION) 82
TABLE 30 GLOBAL RETAIL ANALYTICS MARKET SIZE, BY REGION, 2015–2022 (USD BILLION) 84
TABLE 31 NORTH AMERICA: RETAIL ANALYTICS MARKET SIZE, BY APPLICATION,
2015–2022 (USD MILLION) 86
TABLE 32 NORTH AMERICA: RETAIL ANALYTICS MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION) 86
TABLE 33 NORTH AMERICA: RETAIL ANALYTICS MARKET SIZE, BY COMPONENT,
2015–2022 (USD MILLION) 87
TABLE 34 NORTH AMERICA: RETAIL ANALYTICS MARKET SIZE, BY SERVICE,
2015–2022 (USD MILLION) 87
TABLE 35 NORTH AMERICA: RETAIL ANALYTICS MARKET SIZE, BY DEPLOYMENT MODEL, 2015–2022 (USD MILLION) 87
TABLE 36 NORTH AMERICA: RETAIL ANALYTICS MARKET SIZE, BY ORGANIZATION SIZE, 2015–2022 (USD MILLION) 88
TABLE 37 NORTH AMERICA: RETAIL ANALYTICS MARKET SIZE, BY END-USER,
2015–2022 (USD MILLION) 88
TABLE 38 EUROPE: RETAIL ANALYTICS MARKET SIZE, BY APPLICATION,
2015–2022 (USD MILLION) 89
TABLE 39 EUROPE: RETAIL ANALYTICS MARKET SIZE, BY BUSINESS FUNCTION,
2015–2022 (USD MILLION) 90
TABLE 40 EUROPE: RETAIL ANALYTICS MARKET SIZE, BY COMPONENT,
2015–2022 (USD MILLION) 90
TABLE 41 EUROPE: RETAIL ANALYTICS MARKET SIZE, BY SERVICE,
2015–2022 (USD MILLION) 91
TABLE 42 EUROPE: RETAIL ANALYTICS MARKET SIZE, BY DEPLOYMENT MODEL,
2015–2022 (USD MILLION) 91
TABLE 43 EUROPE: RETAIL ANALYTICS MARKET SIZE, BY ORGANIZATION SIZE,
2015–2022 (USD MILLION) 91
TABLE 44 EUROPE: RETAIL ANALYTICS MARKET SIZE, BY END-USER,
2015–2022 (USD MILLION) 92
TABLE 45 APAC: RETAIL ANALYTICS MARKET SIZE, BY APPLICATION,
2015–2022 (USD MILLION) 94
TABLE 46 APAC: RETAIL ANALYTICS MARKET SIZE, BY BUSINESS FUNCTION,
2015–2022 (USD MILLION) 94
TABLE 47 APAC: RETAIL ANALYTICS MARKET SIZE, BY COMPONENT,
2015–2022 (USD MILLION) 95
TABLE 48 APAC: RETAIL ANALYTICS MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION) 95
TABLE 49 APAC: RETAIL ANALYTICS MARKET SIZE, BY DEPLOYMENT MODEL,
2015–2022 (USD MILLION) 95
TABLE 50 APAC: RETAIL ANALYTICS MARKET SIZE, BY ORGANIZATION SIZE,
2015–2022 (USD MILLION) 96
TABLE 51 APAC: RETAIL ANALYTICS MARKET SIZE, BY END-USER,
2015–2022 (USD MILLION) 96
TABLE 52 MEA: RETAIL ANALYTICS MARKET SIZE, BY APPLICATION,
2015–2022 (USD MILLION) 98
TABLE 53 MEA: RETAIL ANALYTICS MARKET SIZE, BY BUSINESS FUNCTION,
2015–2022 (USD MILLION) 98
TABLE 54 MEA: RETAIL ANALYTICS MARKET SIZE, BY COMPONENT,
2015–2022 (USD MILLION) 99
TABLE 55 MEA: RETAIL ANALYTICS MARKET SIZE, BY SERVICE, 2015–2022 (USD MILLION) 99
TABLE 56 MEA: RETAIL ANALYTICS MARKET SIZE, BY DEPLOYMENT MODEL,
2015–2022 (USD MILLION) 99
TABLE 57 MEA: RETAIL ANALYTICS MARKET SIZE, BY ORGANIZATION SIZE,
2015–2022 (USD MILLION) 100
TABLE 58 MEA: RETAIL ANALYTICS MARKET SIZE, BY END-USER, 2015–2022 (USD MILLION) 100
TABLE 59 LATIN AMERICA: RETAIL ANALYTICS MARKET SIZE, BY APPLICATION,
2015–2022 (USD MILLION) 101
TABLE 60 LATIN AMERICA: RETAIL ANALYTICS MARKET SIZE, BY BUSINESS FUNCTION, 2015–2022 (USD MILLION) 102
TABLE 61 LATIN AMERICA: RETAIL ANALYTICS MARKET SIZE, BY COMPONENT,
2015–2022 (USD MILLION) 102
TABLE 62 LATIN AMERICA: RETAIL ANALYTICS MARKET SIZE, BY SERVICE,
2015–2022 (USD MILLION) 102
TABLE 63 LATIN AMERICA: RETAIL ANALYTICS MARKET SIZE, BY DEPLOYMENT MODEL, 2015–2022 (USD MILLION) 103
TABLE 64 LATIN AMERICA: RETAIL ANALYTICS MARKET SIZE, BY ORGANIZATION SIZE,
2015–2022 (USD MILLION) 103
TABLE 65 LATIN AMERICA: RETAIL ANALYTICS MARKET SIZE, BY END-USER,
2015–2022 (USD MILLION) 104
TABLE 66 MARKET RANKING FOR GLOBAL RETAIL ANALYTICS MARKET, 2017 109

 

LIST OF FIGURES

FIGURE 1 RETAIL ANALYTICS MARKET: MARKET SEGMENTATION 17
FIGURE 2 RETAIL ANALYTICS MARKET: RESEARCH DESIGN 20
FIGURE 3 BREAKDOWN OF PRIMARY INTERVIEWS: BY COMPANY, DESIGNATION,
AND REGION 22
FIGURE 4 DATA TRIANGULATION 23
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 24
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 24
FIGURE 7 GLOBAL RETAIL ANALYTICS MARKET: ASSUMPTIONS 26
FIGURE 8 GLOBAL RETAIL ANALYTICS MARKET: EVOLUTION 27
FIGURE 9 GLOBAL RETAIL ANALYTICS MARKET TO WITNESS SIGNIFICANT GROWTH DURING THE FORECAST PERIOD, DUE TO INCREASING INTERNET USE 28
FIGURE 10 GLOBAL RETAIL ANALYTICS MARKET SNAPSHOT, BY COMPONENT (2017–2022) 29
FIGURE 11 GLOBAL RETAIL ANALYTICS MARKET SNAPSHOT, BY APPLICATION (2017–2022) 29
FIGURE 12 GLOBAL RETAIL ANALYTICS MARKET SNAPSHOT, BY BUSINESS FUNCTION
(2017–2022) 30
FIGURE 13 GLOBAL RETAIL ANALYTICS MARKET SNAPSHOT, BY DEPLOYMENT MODEL
(2017–2022) 30
FIGURE 14 INCREASED USE OF DATA-INTENSIVE PLATFORMS TO DRIVE RETAIL ANALYTICS MARKET GROWTH DURING THE FORECAST PERIOD 31
FIGURE 15 NORTH AMERICA TO LEAD GLOBAL RETAIL ANALYTICS MARKET IN 2017 32
FIGURE 16 MERCHANDISING ANALYSIS APPLICATION AND NORTH AMERICA TO HOLD LARGEST MARKET SHARES IN 2017 33
FIGURE 17 APAC TO ENTER EXPONENTIAL GROWTH PHASE DURING THE FORECAST PERIOD 34
FIGURE 18 GLOBAL RETAIL ANALYTICS MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 36
FIGURE 19 INCREASING GLOBAL INTERNET USAGE 37
FIGURE 20 GLOBAL RETAIL ANALYTICS MARKET: KPIS 46
FIGURE 21 MERCHANDISING ANALYSIS SEGMENT TO LEAD GLOBAL RETAIL ANALYTICS MARKET, BY APPLICATION, 2017-2022 (USD MILLION) 49
FIGURE 22 SUPPLY CHAIN SEGMENT TO LEAD GLOBAL RETAIL ANALYTICS MARKET,
BY BUSINESS FUNCTION, 2017-2022 (USD MILLION) 59
FIGURE 23 SOFTWARE SEGMENT TO LEAD GLOBAL RETAIL ANALYTICS MARKET,
BY COMPONENT, 2017-2022 (USD MILLION) 66
FIGURE 24 ON-PREMISES SEGMENT TO LEAD GLOBAL RETAIL ANALYTICS MARKET,
BY DEPLOYMENT MODEL, 2017-2022 (USD MILLION) 71
FIGURE 25 LARGE ENTERPRISES SEGMENT TO LEAD GLOBAL RETAIL ANALYTICS MARKET,
BY ORGANIZATION SIZE, 2017-2022 (USD MILLION) 76
FIGURE 26 OFFLINE SEGMENT TO LEAD GLOBAL RETAIL ANALYTICS MARKET, BY END-USER, 2017-2022 (USD MILLION) 79
FIGURE 27 NORTH AMERICA TO LEAD GLOBAL RETAIL ANALYTICS MARKET,
2017-2022 (USD MILLION) 84
FIGURE 28 NORTH AMERICA: MARKET SNAPSHOT 85
FIGURE 29 APAC: MARKET SNAPSHOT 93
FIGURE 30 IBM: COMPANY SNAPSHOT 110
FIGURE 31 ORACLE: COMPANY SNAPSHOT 114
FIGURE 32 MICROSOFT: COMPANY SNAPSHOT 118
FIGURE 33 FUJITSU: COMPANY SNAPSHOT 127
FIGURE 34 MICROSTRATEGY: COMPANY SNAPSHOT 133
FIGURE 35 SAP: COMPANY SNAPSHOT 136
FIGURE 36 SAS INSTITUTE: COMPANY SNAPSHOT 143
 

 

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プレスリリース

[プレスリリース原文]

Retail Analytics Market worth 8.64 Billion USD by 2022


August 14, 2017

The report "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", 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%.

The major driving factor for this market are growing internet penetration, increased use of data-intensive platforms and rapid adoption of social media, and advancement in technologies, such as machine learning, artificial intelligence, and augmented reality. The proliferation of cloud-based analytics and growing inclination of vendors toward merging in-store and digital operations are key opportunities that would fuel the growth of the retail analytics market.

The customer management application is expected to grow at the highest CAGR during the forecast period

Customer management analytics aggregates customer segmentation, retention, and acquisition, fraud and risk management, and customer demographic analysis to provide an end-to-end picture of the customer journey. It can provide multiple avenues for customer management through customer analytics. The customer management and analytics portfolio enable the retailers to imply personalized engagement on data driven insights about customer behavior. Adoption of retail analytics solutions that deals with a huge volume of historical and real-time data, such as predictive analytics solutions, help retailers to statistically forecast dynamic changes in the external and internal environment of the retail enterprise, thereby enabling them to take actionable insights.

The on-demand deployment model to grow at the highest CAGR during the forecast period

The retail analytics market by deployment model has been segmented into on-premises and on-demand. The on-demand deployment model offers multiple benefits, such as reduced operational costs, easy deployments, and higher scalability, when compared to on-premises solutions. Owing to this, the on-demand deployment model is expected to grow with an increasing awareness of advantages of cloud-based solutions.

North America is expected to dominate the retail analytics market during the forecast period

The retail analytics market is segmented based on regions including North America, Asia Pacific (APAC), Europe, Middle East and Africa (MEA), and Latin America. North America has always been a frontrunner in embracing advanced analytical technologies to offer best-in-class products to its customers. The unprecedented success witnessed by retail chains such as Walmart and The Kroger Company with their super efficient inventory management, logistics capabilities ensures other retailers to follow similar suit to gain a competitive advantage in the market. Key companies in the retail analytics market including Microsoft Corporation, Oracle Corporation, International Business Machines Corporation, SAP SE, SAS Institute Inc., and others have a strong presence in the North American region. The companies operating in this region have adopted varied strategies to gain a competitive edge in the market. Additionally, according to National Retail Federation, the US eCommerce market is estimated to grow between 8–12% in 2017. High growth of eCommerce will play a prominent role in the adoption of retail analytics software.

Major vendors in this market include 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 (IBM) 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).

 

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