Summary

The retail analytics market is projected to grow from USD 8.5 billion in 2024 to USD 25.0 billion by 2029, at a compound annual growth rate (CAGR) of 24.0% during the forecast period. The market is anticipated to grow due to the exponential growth of e-commerce platforms and increasing adoption of omni-channel retail strategies. The proliferation of data generated through diverse channels forms a foundational driver in the retail analytics market.
“By software, Prescriptive Analytics segment to register for second fastest growing CAGR during the forecast period.”
Prescriptive analytics software utilizes sophisticated algorithms and predictive models to analyse historical data, current trends, and various influencing factors to recommend optimal actions or strategies. These recommendations can encompass a wide range of decisions, including pricing adjustments, inventory optimization, personalized marketing campaigns, and supply chain management improvements.
“By application, Order Fulfillment & Returns Management to witness the largest market size during the forecast period.”
Order Fulfillment & Returns Management serve as the backbone of retail operations, ensuring smooth and efficient processes from purchase to post-sales service. By seamlessly integrating with inventory management systems, they optimize order processing, inventory tracking, and shipment logistics, ultimately enhancing customer satisfaction. Moreover, this application play a pivotal role in returns management, streamlining the often-complex process of handling product returns and exchanges. Leveraging advanced analytics capabilities, they provide retailers with valuable insights into customer behavior, preferences, and trends, empowering data-driven decision-making to drive growth and profitability.

“By region, North America to register for the largest market size during the forecast period.” Market trends in North America indicate a shift towards integrated and scalable retail analytics solutions that cater to the diverse needs of retailers. North American companies are at the forefront of advancements in retail analytics. Major tech players like IBM, Microsoft, and Oracle are all offering comprehensive analytics solutions tailored to the retail industry. Additionally, there's a thriving ecosystem of startups specializing in niche areas like in-store analytics, social media listening, and customer journey mapping.

Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the retail analytics market.
 By Company: Tier I: 38%, Tier II: 50%, and Tier III: 12%
 By Designation: C-Level Executives: 35%, D-Level Executives: 40%, and Others: 25%
 By Region: North America: 40%, Europe: 30%, Asia Pacific: 20%, Latin America-5%, and
Middle East and Africa- 5%,
The report includes the study of key players offering retail analytics solutions. It profiles major vendors in the retail analytics market. The major players in the retail analytics market include Microsoft (US), IBM (US), SAP (Germany), Oracle (US), Salesforce (US), MicroStrategy (US), SAS Institute (US), AWS (US), Qlik (US), Teradata (US), WNS (India), HCL (India), Lightspeed Commerce (Canada), RetailNext (US), Manthan Systems (India), Fit Analytics (Germany), Trax (Singapore), ThoughtSpot (US), RELEX Solutions (Finland), Tredence (US), Creatio (US), Solvoyo (US), datapine (Germany), Sisense (US), EDITED (UK), Retail Zipline (US), ThinkINside (Italy), Dor Technologies (US), Triple Whale (Israel), Flame Analytics (Spain), Alloy.ai Technologies (US), Conjura (UK), Kyvos Insights (US), Pygmalios (Slovakia), and SymphonyAI (US).
Research Coverage
The retail analytics market research study involved extensive secondary sources, directories, journals, and paid databases. Primary sources were mainly industry experts from the core and related industries, preferred retail analytics providers, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information, and assess the market’s prospects.

Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall retail analytics market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
• Analysis of key drivers (Exponential growth of e-commerce platforms, proliferation of data generated through diverse channels, increasing adoption of omni-channel retail strategies), restraints (Rising integration challenges with legacy systems due to diverse data sources, heightened cybersecurity threats and data breaches undermine trust in analytics solutions, high substantial upfront investment presents a barrier for implementing robust analytics infrastructure), opportunities (Integration of AI and ML with retail analytics will create new opportunities for innovation, effective fraud detection and prevention with retail analytics, optimization of supply chain management), and challenges (Complexity of assortment in the retail analytics, data silos and quality concerns).
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the retail analytics market.
• Market Development: Comprehensive information about lucrative markets – the report analyses the retail analytics market across varied regions.
• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the retail analytics market.
• Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players including Microsoft (US), IBM (US), SAP (Germany), Oracle (US), Salesforce (US), MicroStrategy (US), SAS Institute (US), AWS (US), Qlik (US), Teradata (US), among others in the retail analytics market strategies. The report also helps stakeholders understand the pulse of the retail analytics market and provides them with information on key market drivers, restraints, challenges, and opportunities.

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Table of Contents

1 INTRODUCTION 47
1.1 STUDY OBJECTIVES 47
1.2 MARKET DEFINITION 47
1.2.1 INCLUSIONS AND EXCLUSIONS 48
1.3 MARKET SCOPE 49
1.3.1 MARKET SEGMENTATION 49
FIGURE 1 RETAIL ANALYTICS MARKET SEGMENTATION 49
TABLE 1 RETAIL ANALYTICS MARKET DETAILED SEGMENTATION 49
1.3.2 REGIONS COVERED 50
FIGURE 2 REGIONAL SEGMENTATION 50
1.3.3 YEARS CONSIDERED 50
1.4 CURRENCY CONSIDERED 51
TABLE 2 USD EXCHANGE RATES, 2019–2023 51
1.5 STAKEHOLDERS 51
1.6 SUMMARY OF CHANGES 52
1.6.1 RECESSION IMPACT 52
2 RESEARCH METHODOLOGY 53
2.1 RESEARCH DATA 53
FIGURE 3 RETAIL ANALYTICS MARKET: RESEARCH DESIGN 53
2.1.1 SECONDARY DATA 54
2.1.2 PRIMARY DATA 54
TABLE 3 PRIMARY INTERVIEWS 54
2.1.2.1 Breakup of primary profiles 55
FIGURE 4 BREAKUP OF PRIMARY PROFILES, BY COMPANY TYPE, DESIGNATION, AND REGION 55
2.1.2.2 Key industry insights 55
FIGURE 5 KEY INDUSTRY INSIGHTS FROM EXPERTS 55
2.2 MARKET SIZE ESTIMATION 56
FIGURE 6 RETAIL ANALYTICS MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 56
2.2.1 TOP-DOWN APPROACH 56
2.2.2 BOTTOM-UP APPROACH 57
FIGURE 7 APPROACH 1 (BOTTOM-UP; SUPPLY-SIDE): REVENUE FROM SOFTWARE/SERVICE VENDORS OF RETAIL ANALYTICS 57
FIGURE 8 APPROACH 2 (BOTTOM-UP; SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE/SERVICES OF RETAIL ANALYTICS MARKET 58
FIGURE 9 APPROACH 3 (BOTTOM-UP; SUPPLY-SIDE): RETAIL ANALYTICS MARKET ESTIMATION AND CORRESPONDING SOURCES 59
FIGURE 10 APPROACH 4 (BOTTOM-UP; DEMAND-SIDE): SHARE OF OFFERINGS THROUGH OVERALL RETAIL ANALYTICS SPENDING 59
2.3 MARKET FORECAST 60
TABLE 4 FACTOR ANALYSIS 60
2.4 DATA TRIANGULATION 61
FIGURE 11 DATA TRIANGULATION 61
2.5 RESEARCH ASSUMPTIONS 62
2.6 RISK ASSESSMENT 63
2.7 STUDY LIMITATIONS 64
2.8 IMPLICATIONS OF RECESSION ON RETAIL ANALYTICS MARKET 64
TABLE 5 IMPACT OF RECESSION ON RETAIL ANALYTICS MARKET 65
3 EXECUTIVE SUMMARY 66
TABLE 6 GLOBAL RETAIL ANALYTICS MARKET SIZE AND GROWTH RATE, 2019–2023 (USD MILLION, Y-O-Y %) 67
TABLE 7 GLOBAL RETAIL ANALYTICS MARKET SIZE AND GROWTH RATE, 2024–2029 (USD MILLION, Y-O-Y %) 68
FIGURE 12 SOFTWARE SEGMENT TO DOMINATE MARKET IN 2024 68
FIGURE 13 PREDICTIVE ANALYTICS TO HOLD LARGEST MARKET SHARE IN 2024 68
FIGURE 14 ON-PREMISES SEGMENT TO DOMINATE MARKET IN 2024 69
FIGURE 15 PROFESSIONAL SERVICES TO DOMINATE RETAIL ANALYTICS MARKET IN 2024 69
FIGURE 16 INTEGRATION & DEPLOYMENT SEGMENT TO DOMINATE RETAIL ANALYTICS MARKET IN 2024 69
FIGURE 17 SALES & MARKETING TO HOLD LARGEST MARKET SHARE IN 2024 70
FIGURE 18 ORDER FULFILLMENT & RETURNS MANAGEMENT SEGMENT TO DOMINATE RETAIL ANALYTICS MARKET IN 2024 70
FIGURE 19 CONSUMER END USER SEGMENT TO HOLD LARGER SHARE IN 2024 70
FIGURE 20 RAW MATERIALS INDUSTRIAL END USER SEGMENT TO DOMINATE RETAIL ANALYTICS MARKET IN 2024 71
FIGURE 21 CONVENIENCE GOODS CONSUMER END USER SEGMENT TO HOLD LARGEST MARKET SHARE IN 2024 71
FIGURE 22 ONLINE CHANNEL SEGMENT TO DOMINATE MARKET IN 2024 71
FIGURE 23 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 72
4 PREMIUM INSIGHTS 73
4.1 ATTRACTIVE OPPORTUNITIES IN RETAIL ANALYTICS MARKET 73
FIGURE 24 EXPONENTIAL GROWTH OF E-COMMERCE PLATFORMS AND PROLIFERATION OF DATA GENERATED THROUGH DIVERSE CHANNELS TO DRIVE MARKET GROWTH 73
4.2 RETAIL ANALYTICS MARKET: TOP THREE APPLICATIONS 73
FIGURE 25 PRICE RECOMMENDATIONS & OPTIMIZATION SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 73
4.3 NORTH AMERICA: RETAIL ANALYTICS MARKET, BY OFFERING AND END USER CHANNEL 74
FIGURE 26 SOFTWARE SEGMENT AND ONLINE END USER SEGMENT TO HOLD LARGEST MARKET SHARES IN NORTH AMERICA IN 2024 74
4.4 RETAIL ANALYTICS MARKET, BY REGION 74
FIGURE 27 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2024 74
5 MARKET OVERVIEW AND INDUSTRY TRENDS 75
5.1 INTRODUCTION 75
5.2 MARKET DYNAMICS 75
FIGURE 28 RETAIL ANALYTICS MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 76
5.2.1 DRIVERS 76
5.2.1.1 Exponential growth of ecommerce platforms 76
FIGURE 29 GLOBAL RETAIL ECOMMERCE SALES, 2014–2021 (USD TRILLION) 77
5.2.1.2 Proliferation of data generated through diverse channels 77
FIGURE 30 MOST VISITED ONLINE RETAIL WEBSITES WORLDWIDE, BY MONTHLY TRAFFIC, 2022 78
5.2.1.3 Increase in adoption of omnichannel retail strategies 78
5.2.2 RESTRAINTS 78
5.2.2.1 Rise in integration challenges with legacy systems due to diverse data sources 78
5.2.2.2 Heightened cybersecurity threats and data breaches undermine trust in analytics as solutions 79
5.2.2.3 High substantial upfront investment to be barrier for implementing robust analytics infrastructure 79
5.2.3 OPPORTUNITIES 80
5.2.3.1 Integration of AI and ML with retail analytics 80
5.2.3.2 Effective fraud detection and prevention with retail analytics 80
FIGURE 31 GLOBAL LOSSES DUE TO ECOMMERCE PAYMENT FRAUD, 2020–2023 (USD BILLION) 81
5.2.3.3 Optimization of supply chain management 81
5.2.4 CHALLENGES 81
5.2.4.1 Complexity of assortment in retail analytics 81
5.2.4.2 Data silos and quality concerns 82
5.3 EVOLUTION OF RETAIL ANALYTICS MARKET 82
FIGURE 32 RETAIL ANALYTICS MARKET: EVOLUTION 82
5.4 RETAIL ANALYTICS MARKET ARCHITECTURE 84
FIGURE 33 RETAIL ANALYTICS MARKET: ARCHITECTURE 84
5.5 VALUE/SUPPLY CHAIN ANALYSIS 85
FIGURE 34 RETAIL ANALYTICS MARKET: VALUE/SUPPLY CHAIN ANALYSIS 85
5.6 ECOSYSTEM ANALYSIS/MARKET MAP 86
TABLE 8 RETAIL ANALYTICS MARKET: ECOSYSTEM 86
FIGURE 35 RETAIL ANALYTICS MARKET MAP: KEY PLAYERS 88
5.6.1 RETAIL ANALYTICS MARKET: PLATFORM PROVIDERS 88
5.6.2 RETAIL ANALYTICS MARKET: SOFTWARE PROVIDERS 88
5.6.3 RETAIL ANALYTICS MARKET: SERVICE PROVIDERS 89
5.6.4 RETAIL ANALYTICS MARKET: CLOUD SERVICE PROVIDERS 89
5.6.5 RETAIL ANALYTICS MARKET: END USERS 89
5.6.6 RETAIL ANALYTICS MARKET: REGULATORY BODIES 89
5.7 CASE STUDY ANALYSIS 90
5.7.1 TAG HEUER ENHANCED ITS ONLINE PURCHASING JOURNEY WORKING WITH IBM IX CONSULTANTS 90
5.7.2 MICROSOFT 365 DIGITAL TOOLS STREAMLINED MARKS & SPENCER’S ADMINISTRATIVE ACTIVITY OVERVIEW 90
5.7.3 ORACLE ELEVATED CUSTOMER EXPERIENCE FOR PRADA GROUP BY IMPLEMENTING CLOUD-BASED RETAIL SOLUTIONS 91
5.7.4 RELIABILITY OF SAP ENABLED IP WORKFLOWS FOR SANSIBAR 91
5.7.5 URBAN LADDER PROVIDED MORE PERSONALIZED AND PROACTIVE SERVICE WITH HELP OF SALESFORCE 91
5.8 TECHNOLOGY ANALYSIS 92
5.8.1 KEY TECHNOLOGIES 92
5.8.1.1 AI/ML 92
5.8.1.2 Big Data 92
5.8.1.3 IoT 93
5.8.1.4 Cloud Computing 93
5.8.2 COMPLEMENTARY TECHNOLOGIES 93
5.8.2.1 AR/VR 93
5.8.2.2 Blockchain 94
5.8.2.3 NLP 94
5.8.3 ADJACENT TECHNOLOGIES 94
5.8.3.1 3D Printing 94
5.8.3.2 Biometric Authentication 94
5.8.3.3 Edge Computing 95
5.8.3.4 RPA 95
5.9 REGULATORY LANDSCAPE 95
5.9.1 REGULATORY LANDSCAPE 95
5.9.2 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 96
TABLE 9 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 96
TABLE 10 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 96
TABLE 11 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 97
TABLE 12 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 98
TABLE 13 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 99
5.9.3 PERTINENT REGULATIONS 99
5.9.3.1 North America 99
5.9.3.1.1 General Data Protection Regulation (GDPR) 99
5.9.3.1.2 California Consumer Privacy Act (CCPA) 99
5.9.3.1.3 Fair Credit Reporting Act (FCRA) 99
5.9.3.2 Europe 100
5.9.3.2.1 General Data Protection Regulation (GDPR) 100
5.9.3.2.2 Payment Services Directive (PSD2) 100
5.9.3.2.3 ePrivacy directive 100
5.9.3.3 Asia Pacific 100
5.9.3.3.1 Personal Data Protection Acts (PDPA) 100
5.9.3.3.2 Consumer Protection Regulations 100
5.9.3.4 Middle East & Africa 100
5.9.3.4.1 UAE Data Protection Law 100
5.9.3.4.2 South Africa Protection of Personal Information Act (POPIA) 100
5.9.3.5 Latin America 101
5.9.3.5.1 General Data Protection Regulation (LGPD) - Brazil 101
5.10 PATENT ANALYSIS 101
5.10.1 METHODOLOGY 101
5.10.2 PATENTS FILED, BY DOCUMENT TYPE 101
TABLE 14 PATENTS FILED, 2013–2023 101
5.10.3 INNOVATION AND PATENT APPLICATIONS 101
FIGURE 36 TOTAL NUMBER OF PATENTS GRANTED, 2013–2023 101
5.10.3.1 Top 10 patent applicants in retail analytics market 102
FIGURE 37 TOP 10 APPLICANTS IN RETAIL ANALYTICS MARKET, 2013–2023 102
TABLE 15 TOP 20 PATENT OWNERS IN RETAIL ANALYTICS MARKET, 2013–2023 102
TABLE 16 LIST OF PATENTS GRANTED IN RETAIL ANALYTICS MARKET, 2023 103
FIGURE 38 REGIONAL ANALYSIS OF PATENTS GRANTED, 2023 105
5.11 PRICING ANALYSIS 105
5.11.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY APPLICATION 106
FIGURE 39 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY APPLICATION (USD/YEAR) 106
TABLE 17 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY APPLICATION 107
5.11.2 INDICATIVE PRICING ANALYSIS, BY OFFERING 107
TABLE 18 INDICATIVE PRICING LEVELS OF RETAIL ANALYTICS SOFTWARE, BY OFFERING 107
5.12 KEY CONFERENCES AND EVENTS 108
TABLE 19 RETAIL ANALYTICS MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2024–2025 108
5.13 PORTER’S FIVE FORCES ANALYSIS 109
TABLE 20 PORTER’S FIVE FORCES IMPACT ON RETAIL ANALYTICS MARKET 109
FIGURE 40 PORTER’S FIVE FORCES ANALYSIS: RETAIL ANALYTICS MARKET 110
5.13.1 THREAT FROM NEW ENTRANTS 110
5.13.2 THREAT OF SUBSTITUTES 110
5.13.3 BARGAINING POWER OF SUPPLIERS 110
5.13.4 BARGAINING POWER OF BUYERS 111
5.13.5 INTENSITY OF COMPETITIVE RIVALRY 111
5.14 INVESTMENT LANDSCAPE AND FUNDING SCENARIO 111
FIGURE 41 RETAIL ANALYTICS MARKET: INVESTMENT LANDSCAPE AND FUNDING SCENARIO (USD MILLION AND NUMBER OF FUNDING ROUNDS) 112
5.15 RETAIL ANALYTICS BUSINESS MODELS 112
5.15.1 SOFTWARE-AS-A-SERVICE (SAAS) MODELS 112
5.15.2 PERPETUAL LICENSING 112
5.15.3 CUSTOM DEVELOPMENT 112
5.15.4 CONSULTING AND PROFESSIONAL SERVICES 113
5.16 TRENDS/DISRUPTIONS IMPACTING CUSTOMER’S BUSINESS 113
FIGURE 42 TRENDS/DISRUPTIONS IMPACTING CUSTOMER’S BUSINESS 113
5.17 KEY STAKEHOLDERS & BUYING CRITERIA 114
5.17.1 KEY STAKEHOLDERS IN BUYING PROCESS 114
FIGURE 43 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS 114
TABLE 21 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS 114
5.17.2 BUYING CRITERIA 115
FIGURE 44 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS 115
TABLE 22 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS 115
6 RETAIL ANALYTICS MARKET, BY OFFERING 116
6.1 INTRODUCTION 117
6.1.1 OFFERING: RETAIL ANALYTICS MARKET DRIVERS 117
FIGURE 45 SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 117
TABLE 23 RETAIL ANALYTICS MARKET, BY OFFERING, 2019–2023 (USD MILLION) 117
TABLE 24 RETAIL ANALYTICS MARKET, BY OFFERING, 2024–2029 (USD MILLION) 118
6.2 SOFTWARE 118
6.2.1 SOFTWARE BY ANALYTICS TYPE 118
FIGURE 46 PREDICTIVE ANALYTICS SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 118
TABLE 25 RETAIL ANALYTICS SOFTWARE MARKET, BY REGION, 2019–2023 (USD MILLION) 119
TABLE 26 RETAIL ANALYTICS SOFTWARE MARKET, BY REGION, 2024–2029 (USD MILLION) 119
TABLE 27 RETAIL ANALYTICS SOFTWARE MARKET, BY ANALYTICS TYPE, 2019–2023 (USD MILLION) 119
TABLE 28 RETAIL ANALYTICS SOFTWARE MARKET, BY ANALYTICS TYPE, 2024–2029 (USD MILLION) 119
6.2.1.1 Descriptive Analytics 120
6.2.1.1.1 Descriptive analytics software to remain foundational component for retailers looking to gain actionable insights 120
TABLE 29 DESCRIPTIVE ANALYTICS SOFTWARE MARKET, BY REGION, 2019–2023 (USD MILLION) 120
TABLE 30 DESCRIPTIVE ANALYTICS SOFTWARE MARKET, BY REGION, 2024–2029 (USD MILLION) 120
6.2.1.2 Diagnostic Analytics 120
6.2.1.2.1 Retailers use diagnostic analytics software to analyze sales trends across different product categories 120
TABLE 31 DIAGNOSTIC ANALYTICS SOFTWARE MARKET, BY REGION, 2019–2023 (USD MILLION) 121
TABLE 32 DIAGNOSTIC ANALYTICS SOFTWARE MARKET, BY REGION, 2024–2029 (USD MILLION) 121
6.2.1.3 Predictive Analytics 121
6.2.1.3.1 Predictive analytics algorithms enabling retailers to anticipate future outcomes with high degree of accuracy 121
TABLE 33 PREDICTIVE ANALYTICS SOFTWARE MARKET, BY REGION, 2019–2023 (USD MILLION) 122
TABLE 34 PREDICTIVE ANALYTICS SOFTWARE MARKET, BY REGION, 2024–2029 (USD MILLION) 122
6.2.1.4 Prescriptive Analytics 122
6.2.1.4.1 Prescriptive analytics software to enable retailers to respond swiftly to changing market dynamics and customer preferences 122
TABLE 35 PRESCRIPTIVE ANALYTICS SOFTWARE MARKET, BY REGION, 2019–2023 (USD MILLION) 123
TABLE 36 PRESCRIPTIVE ANALYTICS SOFTWARE MARKET, BY REGION, 2024–2029 (USD MILLION) 123
6.2.2 DEPLOYMENT MODE 123
FIGURE 47 CLOUD SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 123
TABLE 37 RETAIL ANALYTICS SOFTWARE MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION) 124
TABLE 38 RETAIL ANALYTICS SOFTWARE MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION) 124
6.2.2.1 On-premises 124
6.2.2.1.1 On-premises deployment to offer retailers greater control over data processing and performance 124
TABLE 39 ON-PREMISES: RETAIL ANALYTICS SOFTWARE MARKET, BY REGION, 2019–2023 (USD MILLION) 124
TABLE 40 ON-PREMISES: RETAIL ANALYTICS SOFTWARE MARKET, BY REGION, 2024–2029 (USD MILLION) 125
6.2.2.2 Cloud 125
6.2.2.2.1 Cloud-based analytics solutions to facilitate seamless integration with other business systems and third-party applications 125
TABLE 41 CLOUD: RETAIL ANALYTICS SOFTWARE MARKET, BY REGION, 2019–2023 (USD MILLION) 125
TABLE 42 CLOUD: RETAIL ANALYTICS SOFTWARE MARKET, BY REGION, 2024–2029 (USD MILLION) 126
6.3 SERVICES 126
FIGURE 48 MANAGED SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 126
TABLE 43 RETAIL ANALYTICS MARKET, BY SERVICE, 2019–2023 (USD MILLION) 126
TABLE 44 RETAIL ANALYTICS MARKET, BY SERVICE, 2024–2029 (USD MILLION) 127
TABLE 45 RETAIL ANALYTICS SERVICES MARKET, BY REGION, 2019–2023 (USD MILLION) 127
TABLE 46 RETAIL ANALYTICS SERVICES MARKET, BY REGION, 2024–2029 (USD MILLION) 127
6.3.1 PROFESSIONAL SERVICES 127
FIGURE 49 SUPPORT & MAINTENANCE SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 128
TABLE 47 RETAIL ANALYTICS MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION) 128
TABLE 48 RETAIL ANALYTICS MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION) 128
TABLE 49 RETAIL ANALYTICS PROFESSIONAL SERVICES MARKET, BY REGION, 2019–2023 (USD MILLION) 129
TABLE 50 RETAIL ANALYTICS PROFESSIONAL SERVICES MARKET, BY REGION, 2024–2029 (USD MILLION) 129
6.3.1.1 Consulting & Advisory 129
6.3.1.1.1 Consultants and advisors bring deep industry expertise and technical proficiency to help retailers 129
TABLE 51 RETAIL ANALYTICS CONSULTING & ADVISORY SERVICES MARKET, BY REGION, 2019–2023 (USD MILLION) 130
TABLE 52 RETAIL ANALYTICS CONSULTING & ADVISORY SERVICES MARKET, BY REGION, 2024–2029 (USD MILLION) 130
6.3.1.2 Integration & Deployment 130
6.3.1.2.1 Facilities and frameworks to integrate various platforms with third-party environments to make retail analytics software quick and efficient 130
TABLE 53 RETAIL ANALYTICS INTEGRATION & DEPLOYMENT SERVICES MARKET, BY REGION, 2019–2023 (USD MILLION) 131
TABLE 54 RETAIL ANALYTICS INTEGRATION & DEPLOYMENT SERVICES MARKET, BY REGION, 2024–2029 (USD MILLION) 131
6.3.1.3 Support & Maintenance 131
6.3.1.3.1 Adopted by organizations that use on-premise deployment model for retail analytics software 131
TABLE 55 RETAIL ANALYTICS SUPPORT & MAINTENANCE SERVICES MARKET, BY REGION, 2019–2023 (USD MILLION) 132
TABLE 56 RETAIL ANALYTICS SUPPORT & MAINTENANCE SERVICES MARKET, BY REGION, 2024–2029 (USD MILLION) 132
6.3.1.4 Training & Education 132
6.3.1.4.1 Training and education services to help retailers navigate complex analytics tools and techniques effectively 132
TABLE 57 RETAIL ANALYTICS TRAINING & EDUCATION SERVICES MARKET, BY REGION, 2019–2023 (USD MILLION) 133
TABLE 58 RETAIL ANALYTICS TRAINING & EDUCATION SERVICES MARKET, BY REGION, 2024–2029 (USD MILLION) 133
6.3.2 MANAGED SERVICES 133
TABLE 59 RETAIL ANALYTICS MANAGED SERVICES MARKET, BY REGION, 2019–2023 (USD MILLION) 133
TABLE 60 RETAIL ANALYTICS MANAGED SERVICES MARKET, BY REGION, 2024–2029 (USD MILLION) 134
7 RETAIL ANALYTICS MARKET, BY BUSINESS FUNCTION 135
7.1 INTRODUCTION 136
7.1.1 BUSINESS FUNCTION: RETAIL ANALYTICS MARKET DRIVERS 136
FIGURE 50 OPERATIONS & SUPPLY CHAIN SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 137
TABLE 61 RETAIL ANALYTICS MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION) 137
TABLE 62 RETAIL ANALYTICS MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION) 137
7.2 SALES & MARKETING 138
7.2.1 RETAIL ANALYTICS FOCUSING ON USING SCENARIO ANALYSIS TO PREPARE FOR RETAIL SALES EFFECTIVELY 138
TABLE 63 RETAIL ANALYTICS MARKET IN SALES & MARKETING, BY REGION, 2019–2023 (USD MILLION) 138
TABLE 64 RETAIL ANALYTICS MARKET IN SALES & MARKETING, BY REGION, 2024–2029 (USD MILLION) 138
7.3 FINANCE & ACCOUNTING 139
7.3.1 INTEGRATION OF RETAIL ANALYTICS WITH FINANCE AND ACCOUNTING FUNCTIONS TO EMPOWER BUSINESSES TO MAKE DATA-DRIVEN FINANCIAL DECISIONS 139
TABLE 65 RETAIL ANALYTICS MARKET IN FINANCE & ACCOUNTING, BY REGION, 2019–2023 (USD MILLION) 139
TABLE 66 RETAIL ANALYTICS MARKET IN FINANCE & ACCOUNTING, BY REGION, 2024–2029 (USD MILLION) 139
7.4 OPERATIONS & SUPPLY CHAIN 140
7.4.1 SUPPLY CHAIN ANALYTICS TO ENABLE ORGANIZATIONS TO IDENTIFY AND ADDRESS IMMEDIATE OPERATIONAL CHALLENGES 140
TABLE 67 RETAIL ANALYTICS MARKET IN OPERATIONS & SUPPLY CHAIN, BY REGION, 2019–2023 (USD MILLION) 140
TABLE 68 RETAIL ANALYTICS MARKET IN OPERATIONS & SUPPLY CHAIN, BY REGION, 2024–2029 (USD MILLION) 140
7.5 HR 141
7.5.1 HR PROFESSIONALS TO CONTRIBUTE SIGNIFICANTLY TO FOSTERING POSITIVE WORK CULTURE WITHIN RETAIL SECTOR 141
TABLE 69 RETAIL ANALYTICS MARKET IN HR, BY REGION, 2019–2023 (USD MILLION) 141
TABLE 70 RETAIL ANALYTICS MARKET IN HR, BY REGION, 2024–2029 (USD MILLION) 141
8 RETAIL ANALYTICS MARKET, BY APPLICATION 142
8.1 INTRODUCTION 143
8.1.1 APPLICATION: RETAIL ANALYTICS MARKET DRIVERS 143
FIGURE 51 PRICE RECOMMENDATION & OPTIMIZATION SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 143
TABLE 71 RETAIL ANALYTICS MARKET, BY APPLICATION, 2019–2023 (USD MILLION) 144
TABLE 72 RETAIL ANALYTICS MARKET, BY APPLICATION, 2024–2029 (USD MILLION) 144
8.2 ORDER FULFILLMENT & RETURNS MANAGEMENT 144
TABLE 73 RETAIL ANALYTICS MARKET IN ORDER FULFILLMENT & RETURNS MANAGEMENT, BY REGION, 2019–2023 (USD MILLION) 145
TABLE 74 RETAIL ANALYTICS MARKET IN ORDER FULFILLMENT & RETURNS MANAGEMENT, BY REGION, 2024–2029 (USD MILLION) 145
8.2.1 ORDER PROCESSING & PACKAGING 145
8.2.1.1 Order processing system to accurately capture customer data and order details 145
8.2.2 SHIPPING & TRANSPORTATION 145
8.2.2.1 Retailers can streamline shipping processes by leveraging historical data and real-time information 145
8.2.3 RETURNS PROCESSING 146
8.2.3.1 Retailers leveraging returns processing applications integrated with advanced analytics to lead to bottom-line profitability 146
8.2.4 PAYMENT PROCESSING 146
8.2.4.1 Payment processing provides invaluable insights into customer behavior, sales performance, and operational efficiency 146
8.3 CUSTOMER RELATIONSHIP MANAGEMENT 146
TABLE 75 RETAIL ANALYTICS MARKET IN CUSTOMER RELATIONSHIP MANAGEMENT, BY REGION, 2019–2023 (USD MILLION) 147
TABLE 76 RETAIL ANALYTICS MARKET IN CUSTOMER RELATIONSHIP MANAGEMENT, BY REGION, 2024–2029 (USD MILLION) 147
8.3.1 CUSTOMER SEGMENTATION 147
8.3.1.1 Customer segmentation helps in marketing campaigns and designing overall marketing strategy and planning 147
8.3.2 REVENUE OPTIMIZATION 147
8.3.2.1 Revenue optimization in retail operations maximizing revenue streams 147
8.3.3 CUSTOMER RETENTION 148
8.3.3.1 Customer retention aims at fostering lasting relationships and maximizing customer lifetime value 148
8.3.4 PREDICTIVE MODELING 148
8.3.4.1 Retailers gaining competitive edge and driving sustainable growth by leveraging predictive modeling 148
8.4 PRICE RECOMMENDATION & OPTIMIZATION 148
TABLE 77 RETAIL ANALYTICS MARKET IN PRICE RECOMMENDATION & OPTIMIZATION, BY REGION, 2019–2023 (USD MILLION) 148
TABLE 78 RETAIL ANALYTICS MARKET IN PRICE RECOMMENDATION & OPTIMIZATION, BY REGION, 2024–2029 (USD MILLION) 149
8.4.1 PERSONALIZED PRICING 149
8.4.1.1 Retailers dynamically adjusting prices to maximize revenue and customer satisfaction 149
8.4.2 REAL-TIME PRICE ADJUSTMENT 149
8.4.2.1 Real-time price adjustment strategies incorporate pricing rules on current market conditions 149
8.4.3 PRICE OPTIMIZATION STRATEGY 149
8.4.3.1 Price optimization strategies consider various factors to determine optimal pricing levels 149
8.5 MERCHANDISE PLANNING 150
TABLE 79 RETAIL ANALYTICS MARKET IN MERCHANDISE PLANNING, BY REGION, 2019–2023 (USD MILLION) 150
TABLE 80 RETAIL ANALYTICS MARKET IN MERCHANDISE PLANNING, BY REGION, 2024–2029 (USD MILLION) 150
8.5.1 DEMAND SENSING & FORECASTING 150
8.5.1.1 Demand sensing and forecasting enables retailers to minimize stockouts & reduce excess inventory costs 150
8.5.2 TREND ANALYSIS 151
8.5.2.1 Trend analysis powered by retail analytics empowering retailers to stay ahead of competitors 151
8.5.3 ASSORTMENT PLANNING 151
8.5.3.1 Retail analytics enabling retailers to simulate different assortment scenarios for maximum revenue generation 151
8.6 SUPPLY CHAIN MANAGEMENT 151
TABLE 81 RETAIL ANALYTICS MARKET IN SUPPLY CHAIN MANAGEMENT, BY REGION, 2019–2023 (USD MILLION) 151
TABLE 82 RETAIL ANALYTICS MARKET IN SUPPLY CHAIN MANAGEMENT, BY REGION, 2024–2029 (USD MILLION) 152
8.6.1 CONTRACT MANAGEMENT 152
8.6.1.1 By analyzing contract data, retailers optimizing contract management processes to drive operational efficiency 152
8.6.2 VENDOR MANAGEMENT 152
8.6.2.1 Vendor management mitigates supply chain risks to enhance overall operational performance 152
8.6.3 WORK ORDER MANAGEMENT 152
8.6.3.1 Real-time analytics optimize work order management processes across supply chain 152
8.6.4 INVOICE MANAGEMENT 153
8.6.4.1 Invoice management analytics ensure timely payments and strong relationships with suppliers 153
8.7 FRAUD DETECTION & PREVENTION 153
TABLE 83 RETAIL ANALYTICS MARKET IN FRAUD DETECTION & PREVENTION, BY REGION, 2019–2023 (USD MILLION) 153
TABLE 84 RETAIL ANALYTICS MARKET IN FRAUD DETECTION & PREVENTION, BY REGION, 2024–2029 (USD MILLION) 153
8.7.1 POINT-OF-SALE (POS) VERIFICATION 154
8.7.1.1 Retailers implement proactive measures to prevent fraud at point of sale by leveraging POS verification 154
8.7.2 PRODUCT COUNTERFEIT MANAGEMENT 154
8.7.2.1 Retail analytics enabling retailers to implement robust counterfeit management strategies by leveraging data-driven insights 154
8.7.3 ROOT CAUSE ANALYSIS 154
8.7.3.1 Root cause analysis helps retailers pinpoint vulnerabilities in processes, systems, or internal controls exploited by fraudsters 154
8.7.4 RISK ASSESSMENT & COMPLIANCE MANAGEMENT 154
8.7.4.1 Retailers identify potential areas of vulnerability and prioritize resources for mitigating risks 154
8.8 OTHER APPLICATIONS 155
TABLE 85 RETAIL ANALYTICS MARKET IN OTHER APPLICATIONS, BY REGION, 2019–2023 (USD MILLION) 155
TABLE 86 RETAIL ANALYTICS MARKET IN OTHER APPLICATIONS, BY REGION, 2024–2029 (USD MILLION) 155
9 RETAIL ANALYTICS MARKET, BY END USER 156
9.1 INTRODUCTION 157
9.1.1 END USER: RETAIL ANALYTICS MARKET DRIVERS 157
9.2 END USER BY PRODUCT TYPE 157
FIGURE 52 INDUSTRIAL SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 157
TABLE 87 RETAIL ANALYTICS END USER MARKET, BY PRODUCT TYPE, 2019–2023 (USD MILLION) 158
TABLE 88 RETAIL ANALYTICS END USER MARKET, BY PRODUCT TYPE, 2024–2029 (USD MILLION) 158
9.2.1 INDUSTRIAL 158
9.2.1.1 Retail analytics to empower industrial product retailers to stay agile, responsive, and competitive 158
FIGURE 53 FABRICATED ITEMS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 158
TABLE 89 RETAIL ANALYTICS END USER MARKET, BY INDUSTRIAL PRODUCT TYPE, 2019–2023 (USD MILLION) 159
TABLE 90 RETAIL ANALYTICS END USER MARKET, BY INDUSTRIAL PRODUCT TYPE, 2024–2029 (USD MILLION) 159
TABLE 91 INDUSTRIAL END USER: RETAIL ANALYTICS MARKET, BY REGION, 2019–2023 (USD MILLION) 159
TABLE 92 INDUSTRIAL END USER: RETAIL ANALYTICS MARKET, BY REGION, 2024–2029 (USD MILLION) 160
9.2.1.2 Raw materials 160
TABLE 93 RAW MATERIALS: RETAIL ANALYTICS MARKET, BY REGION, 2019–2023 (USD MILLION) 160
TABLE 94 RAW MATERIALS: RETAIL ANALYTICS MARKET, BY REGION, 2024–2029 (USD MILLION) 160
9.2.1.3 Equipment 161
TABLE 95 EQUIPMENT: RETAIL ANALYTICS MARKET, BY REGION, 2019–2023 (USD MILLION) 161
TABLE 96 EQUIPMENT: RETAIL ANALYTICS MARKET, BY REGION, 2024–2029 (USD MILLION) 161
9.2.1.4 Fabricated items 161
TABLE 97 FABRICATED ITEMS: RETAIL ANALYTICS MARKET, BY REGION, 2019–2023 (USD MILLION) 161
TABLE 98 FABRICATED ITEMS: RETAIL ANALYTICS MARKET, BY REGION, 2024–2029 (USD MILLION) 162
9.2.1.5 Operating supplies 162
TABLE 99 OPERATING SUPPLIES: RETAIL ANALYTICS MARKET, BY REGION, 2019–2023 (USD MILLION) 162
TABLE 100 OPERATING SUPPLIES: RETAIL ANALYTICS MARKET, BY REGION, 2024–2029 (USD MILLION) 162
9.2.2 CONSUMER 163
9.2.2.1 Retail analytics to encourage consumer product retailers to adapt to changing market conditions and capitalize on emerging trends 163
FIGURE 54 SPECIALTY GOODS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 163
TABLE 101 RETAIL ANALYTICS END USER MARKET, BY CONSUMER PRODUCT TYPE, 2019–2023 (USD MILLION) 163
TABLE 102 RETAIL ANALYTICS END USER MARKET, BY CONSUMER PRODUCT TYPE, 2024–2029 (USD MILLION) 164
TABLE 103 CONSUMER END USER: RETAIL ANALYTICS MARKET, BY REGION, 2019–2023 (USD MILLION) 164
TABLE 104 CONSUMER END USER: RETAIL ANALYTICS MARKET, BY REGION, 2024–2029 (USD MILLION) 164
9.2.2.2 Convenience goods 164
TABLE 105 CONVENIENCE GOODS: RETAIL ANALYTICS MARKET, BY REGION, 2019–2023 (USD MILLION) 165
TABLE 106 CONVENIENCE GOODS: RETAIL ANALYTICS MARKET, BY REGION, 2024–2029 (USD MILLION) 165
9.2.2.3 Shopping goods 165
TABLE 107 SHOPPING GOODS: RETAIL ANALYTICS MARKET, BY REGION, 2019–2023 (USD MILLION) 165
TABLE 108 SHOPPING GOODS: RETAIL ANALYTICS MARKET, BY REGION, 2024–2029 (USD MILLION) 166
9.2.2.4 Specialty goods 166
TABLE 109 SPECIALTY GOODS: RETAIL ANALYTICS MARKET, BY REGION, 2019–2023 (USD MILLION) 166
TABLE 110 SPECIALTY GOODS: RETAIL ANALYTICS MARKET, BY REGION, 2024–2029 (USD MILLION) 166
9.2.2.5 Unsought goods 167
TABLE 111 UNSOUGHT GOODS: RETAIL ANALYTICS MARKET, BY REGION, 2019–2023 (USD MILLION) 167
TABLE 112 UNSOUGHT GOODS: RETAIL ANALYTICS MARKET, BY REGION, 2024–2029 (USD MILLION) 167
9.3 END USER BY CHANNEL TYPE 167
FIGURE 55 ONLINE SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 168
TABLE 113 RETAIL ANALYTICS END USER MARKET, BY CHANNEL TYPE, 2019–2023 (USD MILLION) 168
TABLE 114 RETAIL ANALYTICS END USER MARKET, BY CHANNEL TYPE, 2024–2029 (USD MILLION) 168
9.3.1 ONLINE 168
9.3.1.1 Demand for intelligent analytical solutions in online retail sector to drive growth of retail analytics market 168
TABLE 115 ONLINE: RETAIL ANALYTICS END USER MARKET, BY REGION, 2019–2023 (USD MILLION) 169
TABLE 116 ONLINE: RETAIL ANALYTICS END USER MARKET, BY REGION, 2024–2029 (USD MILLION) 169
9.3.2 OFFLINE 169
9.3.2.1 Integration of offline channel data into retail analytics solutions to be instrumental in shaping future of retail 169
TABLE 117 OFFLINE: RETAIL ANALYTICS END USER MARKET, BY REGION, 2019–2023 (USD MILLION) 170
TABLE 118 OFFLINE: RETAIL ANALYTICS END USER MARKET, BY REGION, 2024–2029 (USD MILLION) 170