Retail Analytics Market Size & Share, Global Forecast, Industry Trends Report

Overview

The global Retail Analytics Market size 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. Due to various business drivers, the retail analytics market is expected to grow significantly during the forecast period. The market is experiencing significant growth due to the proliferation of data generated through diverse channels. Exponential growth of e-commerce platforms, and increasing adoption of omnichannel retail strategies are also responsible for driving the market’s growth.

Attractive Opportunities in the Retail Analytics Market

Asia Pacific

The market growth in Asia Pacific can be attributed to the surging popularity of e-commerce, with regions like China and India. Retailers are increasingly reliant on data to understand online consumer behavior, optimize pricing and promotions, and personalize marketing efforts.

Growth in the retail analytics market is primarily propelled by the increasing adoption of advanced analytics solutions by retailers to enhance operational efficiency, optimize pricing strategies, and improve customer experience.

The North American retail analytics market is projected to be valued at USD 25.0 billion by 2029, growing at a CAGR of 24.0% during the forecast period.

Partnerships, collaborations, and product launches would offer lucrative opportunities for market players in the next five years.

Key players in the market are leveraging advanced analytics techniques such as predictive analytics, machine learning, and artificial intelligence to unlock valuable insights from vast amounts of retail data.

Global Retail Analytics Market Dynamics

Driver: Exponential growth of e-commerce platforms

The exponential growth of e-commerce platforms has profoundly impacted the retail analytics market, presenting a wealth of opportunities for retailers to leverage data-driven insights for strategic decision-making and operational optimization. With the increasing prevalence of online shopping, fueled by factors such as convenience, broader product selection, and competitive pricing, e-commerce platforms have become a dominant force in the retail landscape. This surge in online transactions generates vast amounts of data, ranging from customer demographics and browsing behavior to purchase history and feedback, providing retailers with rich sources of information to analyze. Retail analytics solutions play a pivotal role in helping retailers extract actionable insights from this data, enabling them to understand consumer preferences, identify trends, forecast demand, optimize pricing and promotions, personalize marketing campaigns, and enhance the overall customer experience. As e-commerce continues to expand globally, driven by technological advancements, changing consumer behaviors, and market dynamics, the demand for sophisticated retail analytics tools and services is expected to skyrocket, creating lucrative opportunities for vendors in the retail analytics market to innovate and cater to the evolving needs of retailers in the digital age.

Restraints: Rising integration challenges with legacy systems due to diverse data sources

One of the foremost restraints encountered is the rising integration complexity stemming from the coexistence of diverse data sources and the prevalence of legacy systems within retail infrastructures. As retailers strive to harness the power of data analytics to gain insights into consumer behavior, market trends, and operational efficiencies, they often grapple with the integration of disparate data streams originating from various sources such as point-of-sale (POS) systems, e-commerce platforms, customer relationship management (CRM) tools, and social media channels. These data sources may employ distinct formats, structures, and protocols, posing significant hurdles to seamless integration with existing legacy systems. The integration challenge exacerbates further due to the presence of legacy systems within many retail organizations. These legacy systems, characterized by their long-standing usage and historical significance, often lack the flexibility and compatibility required to efficiently incorporate and process data from modern sources. Attempts to integrate diverse data streams with legacy systems frequently encounter compatibility issues, data inconsistency, and processing bottlenecks, impeding the real-time analysis and utilization of critical insights. Consequently, retail enterprises face mounting pressure to modernize their data infrastructure and streamline integration processes to extract maximum value from their data assets.Addressing the integration challenges posed by diverse data sources and legacy systems necessitates a multifaceted approach involving technological innovation, strategic planning, and organizational restructuring. Retailers increasingly seek solutions that offer seamless integration capabilities, scalability, and adaptability to accommodate evolving data landscapes. Leveraging advanced analytics platforms equipped with robust integration frameworks, retailers can consolidate data from disparate sources, standardize formats, and facilitate interoperability with legacy systems.

Opportunity: Integration of AI and ML with retail analytics will create new opportunities for innovation

AI and ML technologies offer retailers the ability to analyze vast amounts of data with unprecedented accuracy and efficiency, enabling them to gain deeper insights into consumer behavior, preferences, and trends. By leveraging AI and ML algorithms, retailers can extract valuable insights from diverse data sources such as transaction records, customer demographics, social media interactions, and even sensor data from physical stores. One of the key advantages of integrating AI and ML with retail analytics is the ability to personalize the shopping experience for individual consumers. These technologies enable retailers to create highly targeted marketing campaigns, tailored product recommendations, and personalized promotions based on each customer's unique preferences and purchasing history. By delivering personalized experiences, retailers can enhance customer satisfaction, loyalty, and ultimately drive sales and revenue growth. Additionally, AI-powered analytics can help retailers optimize pricing strategies, inventory management, and supply chain operations to maximize efficiency and profitability.Furthermore, the integration of AI and ML with retail analytics opens up new avenues for innovation in areas such as predictive analytics, demand forecasting, and trend analysis. Retailers can use advanced predictive models to anticipate future consumer trends, identify emerging market opportunities, and optimize product assortments accordingly.

Challenge: Complexity of assortment in the retail analytics

Assortment complexity refers to the vast array of products offered by retailers, each with varying attributes such as size, color, style, and price point. Retailers must carefully curate their product assortments to meet the diverse needs and preferences of their target customers while balancing factors like shelf space, inventory costs, and seasonal demand fluctuations. Managing this complexity effectively requires sophisticated analytics solutions capable of analyzing large volumes of data to identify trends, patterns, and insights that can inform assortment decisions. The complexity of assortment management is further compounded by the dynamic nature of consumer preferences and market trends. Consumer tastes and preferences can change rapidly in response to factors such as changing demographics, cultural shifts, and emerging fashion trends. Retailers must continuously monitor market trends, gather customer feedback, and adapt their assortments accordingly to remain competitive. However, keeping pace with these changes and effectively predicting future trends requires advanced analytics capabilities that can process real-time data and generate actionable insights in a timely manner. Moreover, the proliferation of sales channels and the rise of omnichannel retailing add another layer of complexity to assortment management. With consumers increasingly shopping across multiple channels, including online, mobile, and brick-and-mortar stores, retailers must ensure consistency and coherence across all channels while optimizing assortments to meet the unique characteristics and preferences of each channel's customer base. This requires retailers to integrate data from disparate sources, such as point-of-sale systems, e-commerce platforms, and customer loyalty programs, to gain a holistic view of consumer behavior and preferences across channels and make informed assortment decisions that drive sales and customer satisfaction.

Global Retail Analytics Market Ecosystem Analysis

The ecosystem comprises application/software, solution vendors, and end users. These vendors are equally competent and offer innovative technology bundled retail analytics products and solutions in the market.

By professional services, the Support & Maintenance segment registered the highest CAGR during the forecast period.

As retailers increasingly rely on data-driven insights to enhance operations and customer experiences, support services become indispensable for addressing technical issues, troubleshooting, and providing timely assistance to users. Maintenance services encompass regular updates, patches, and performance optimizations to uphold system integrity and functionality. These services are crucial for minimizing downtime, maximizing system efficiency, and safeguarding against potential disruptions that could impact business operations. Moreover, support and maintenance providers often offer training and knowledge transfer sessions to empower retail teams in harnessing the full potential of analytical tools and technologies.

By application, Price Recommendation & Optimization segment to register the highest CAGR during the forecast period.

The demand for price recommendation and optimization applications is at an all-time high. These sophisticated tools leverage advanced analytics and machine learning algorithms to analyze vast amounts of data, including historical sales data, competitor pricing, market trends, and customer behavior. By doing so, they empower retailers to make data-driven pricing decisions that maximize profitability while remaining competitive in the market. These applications offer real-time insights and recommendations, enabling retailers to adjust prices dynamically based on factors such as demand fluctuations, inventory levels, and promotional effectiveness.

North America region holds the largest share of the Retail Analytics Market.

With the rise of e-commerce, omnichannel retailing, and increasing customer expectations, retailers are turning to analytics solutions to gain insights into consumer behavior, optimize operations, and drive business performance. From large retailers to small businesses, there's a growing recognition of the importance of data-driven decision-making in staying competitive in today's market. Key trends in the North American retail analytics market include the adoption of advanced technologies like artificial intelligence and machine learning to enhance predictive analytics capabilities, the integration of data from multiple sources for a holistic view of the customer journey, and the emphasis on real-time analytics for timely insights and actions.

Recent Developments of Retail Analytics Market industry

In February 2024, IBM announced the availability of the popular open-source Mixtral-8x7B large language model (LLM), developed by Mistral AI, on its Watsonx AI and data platform, as it continues to expand capabilities to help clients innovate with IBM's own foundation models and those from a range of open-source providers.

In January 2024, IBM announced its collaboration with SAP to develop solutions to help clients in the consumer-packaged goods and retail industries enhance their supply chain, finance operations, sales and services using generative AI.

Key Market Players

KEY 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)
Pygmalion (Slovakia)
SymphonyAI (US)

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Scope of the Report

Report Attribute	Details
Market size available for years	2019–2029
Base year considered	2023
Forecast period	2024–2029
Forecast units	USD (Billion)
Segments Covered	Offering, Business Function, Application, End User, and Region
Geographies covered	North America, Asia Pacific, Europe, Middle East & Africa, and Latin America
Companies covered	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)

Key Questions Addressed by the Report

What is Retail Analytics?

Retail analytics involves monitoring various business data such as inventory, customer actions, and sales figures to make smarter decisions. It helps improve aspects like supply chain, customer behavior, sales patterns, and overall performance.

What is the total CAGR expected to be recorded for the Retail Analytics market during the forecast period?

The market is expected to record a CAGR of 24.0% during the forecast period.

Which are the key drivers supporting the growth of the Retail Analytics market?

Key drivers include the exponential growth of e-commerce platforms, data proliferation through diverse channels, and increased adoption of omnichannel retail strategies.

Which are the key applications prevailing in the Retail Analytics market?

Major applications include Order Fulfillment & Returns Management, Customer Relationship Management, Price Recommendation & Optimization, Merchandise Planning, Supply Chain Management, Fraud Detection & Prevention, Store Performance Monitoring, and Brand Management.

Who are the key vendors in the Retail Analytics market?

Major players include Microsoft, IBM, SAP, Oracle, Salesforce, AWS, Qlik, Teradata, WNS, HCL, Lightspeed Commerce, RetailNext, Manthan Systems, Fit Analytics, Trax, ThoughtSpot, RELEX Solutions, Tredence, Creatio, Solvoyo, datapine, Sisense, EDITED, Retail Zipline, ThinkINside, Dor Technologies, Triple Whale, Flame Analytics, Alloy.ai Technologies, Conjura, Kyvos Insights, Pygmalios, and SymphonyAI.

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TITLE

PAGE NO

INTRODUCTION

RESEARCH METHODOLOGY

EXECUTIVE SUMMARY

PREMIUM INSIGHTS

MARKET OVERVIEW AND INDUSTRY TRENDS

5.1 INTRODUCTION
5.2 MARKET DYNAMICS

DRIVERS

- Exponential growth of ecommerce platforms

- Proliferation of data generated through diverse channels

- Increase in adoption of omnichannel retail strategies

RESTRAINTS

- Rise in integration challenges with legacy systems due to diverse data sources

- Heightened cybersecurity threats and data breaches undermine trust in analytics as solutions

- High substantial upfront investment to be barrier for implementing robust analytics infrastructure

OPPORTUNITIES

- Integration of AI and ML with retail analytics

- Effective fraud detection and prevention with retail analytics

- Optimization of supply chain management

CHALLENGES

- Complexity of assortment in retail analytics

- Data silos and quality concerns
5.3 EVOLUTION OF RETAIL ANALYTICS MARKET
5.4 RETAIL ANALYTICS MARKET ARCHITECTURE
5.5 VALUE/SUPPLY CHAIN ANALYSIS
5.6 ECOSYSTEM ANALYSIS/MARKET MAP

RETAIL ANALYTICS MARKET: PLATFORM PROVIDERS

RETAIL ANALYTICS MARKET: SOFTWARE PROVIDERS

RETAIL ANALYTICS MARKET: SERVICE PROVIDERS

RETAIL ANALYTICS MARKET: CLOUD SERVICE PROVIDERS

RETAIL ANALYTICS MARKET: END USERS

RETAIL ANALYTICS MARKET: REGULATORY BODIES
5.7 CASE STUDY ANALYSIS

TAG HEUER ENHANCED ITS ONLINE PURCHASING JOURNEY WORKING WITH IBM IX CONSULTANTS

MICROSOFT 365 DIGITAL TOOLS STREAMLINED MARKS & SPENCER’S ADMINISTRATIVE ACTIVITY OVERVIEW

ORACLE ELEVATED CUSTOMER EXPERIENCE FOR PRADA GROUP BY IMPLEMENTING CLOUD-BASED RETAIL SOLUTIONS

RELIABILITY OF SAP ENABLED IP WORKFLOWS FOR SANSIBAR

URBAN LADDER PROVIDED MORE PERSONALIZED AND PROACTIVE SERVICE WITH HELP OF SALESFORCE
5.8 TECHNOLOGY ANALYSIS

KEY TECHNOLOGIES

- AI/ML

- Big Data

- IoT

- Cloud Computing

COMPLEMENTARY TECHNOLOGIES

- AR/VR

- Blockchain

- NLP

ADJACENT TECHNOLOGIES

- 3D Printing

- Biometric Authentication

- Edge Computing

- RPA
5.9 REGULATORY LANDSCAPE

REGULATORY LANDSCAPE

REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS

PERTINENT REGULATIONS

- North America

- Europe

- Asia Pacific

- Middle East & Africa

- Latin America
5.10 PATENT ANALYSIS

METHODOLOGY

PATENTS FILED, BY DOCUMENT TYPE

INNOVATION AND PATENT APPLICATIONS

- Top 10 patent applicants in retail analytics market
5.11 PRICING ANALYSIS

AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY APPLICATION

INDICATIVE PRICING ANALYSIS, BY OFFERING
5.12 KEY CONFERENCES AND EVENTS
5.13 PORTER’S FIVE FORCES ANALYSIS

THREAT FROM NEW ENTRANTS

THREAT OF SUBSTITUTES

BARGAINING POWER OF SUPPLIERS

BARGAINING POWER OF BUYERS

INTENSITY OF COMPETITIVE RIVALRY
5.14 INVESTMENT LANDSCAPE AND FUNDING SCENARIO
5.15 RETAIL ANALYTICS BUSINESS MODELS

SOFTWARE-AS-A-SERVICE (SAAS) MODELS

PERPETUAL LICENSING

CUSTOM DEVELOPMENT

CONSULTING AND PROFESSIONAL SERVICES
5.16 TRENDS/DISRUPTIONS IMPACTING CUSTOMER’S BUSINESS
5.17 KEY STAKEHOLDERS & BUYING CRITERIA

KEY STAKEHOLDERS IN BUYING PROCESS

BUYING CRITERIA

RETAIL ANALYTICS MARKET, BY OFFERING

103

6.1 INTRODUCTION

OFFERING: RETAIL ANALYTICS MARKET DRIVERS
6.2 SOFTWARE

SOFTWARE BY ANALYTICS TYPE

- Descriptive Analytics

- Diagnostic Analytics

- Predictive Analytics

- Prescriptive Analytics

DEPLOYMENT MODE

- On-premises

- Cloud
6.3 SERVICES

PROFESSIONAL SERVICES

- Consulting & Advisory

- Integration & Deployment

- Support & Maintenance

- Training & Education

MANAGED SERVICES

RETAIL ANALYTICS MARKET, BY BUSINESS FUNCTION

122

7.1 INTRODUCTION

BUSINESS FUNCTION: RETAIL ANALYTICS MARKET DRIVERS
7.2 SALES & MARKETING

RETAIL ANALYTICS FOCUSING ON USING SCENARIO ANALYSIS TO PREPARE FOR RETAIL SALES EFFECTIVELY
7.3 FINANCE & ACCOUNTING

INTEGRATION OF RETAIL ANALYTICS WITH FINANCE AND ACCOUNTING FUNCTIONS TO EMPOWER BUSINESSES TO MAKE DATA-DRIVEN FINANCIAL DECISIONS
7.4 OPERATIONS & SUPPLY CHAIN

SUPPLY CHAIN ANALYTICS TO ENABLE ORGANIZATIONS TO IDENTIFY AND ADDRESS IMMEDIATE OPERATIONAL CHALLENGES
7.5 HR

HR PROFESSIONALS TO CONTRIBUTE SIGNIFICANTLY TO FOSTERING POSITIVE WORK CULTURE WITHIN RETAIL SECTOR

RETAIL ANALYTICS MARKET, BY APPLICATION

129

8.1 INTRODUCTION

APPLICATION: RETAIL ANALYTICS MARKET DRIVERS
8.2 ORDER FULFILLMENT & RETURNS MANAGEMENT

ORDER PROCESSING & PACKAGING

- Order processing system to accurately capture customer data and order details

SHIPPING & TRANSPORTATION

- Retailers can streamline shipping processes by leveraging historical data and real-time information

RETURNS PROCESSING

- Retailers leveraging returns processing applications integrated with advanced analytics to lead to bottom-line profitability

PAYMENT PROCESSING

- Payment processing provides invaluable insights into customer behavior, sales performance, and operational efficiency
8.3 CUSTOMER RELATIONSHIP MANAGEMENT

CUSTOMER SEGMENTATION

- Customer segmentation helps in marketing campaigns and designing overall marketing strategy and planning

REVENUE OPTIMIZATION

- Revenue optimization in retail operations maximizing revenue streams

CUSTOMER RETENTION

- Customer retention aims at fostering lasting relationships and maximizing customer lifetime value

PREDICTIVE MODELING

- Retailers gaining competitive edge and driving sustainable growth by leveraging predictive modeling
8.4 PRICE RECOMMENDATION & OPTIMIZATION

PERSONALIZED PRICING

- Retailers dynamically adjusting prices to maximize revenue and customer satisfaction

REAL-TIME PRICE ADJUSTMENT

- Real-time price adjustment strategies incorporate pricing rules on current market conditions

PRICE OPTIMIZATION STRATEGY

- Price optimization strategies consider various factors to determine optimal pricing levels
8.5 MERCHANDISE PLANNING

DEMAND SENSING & FORECASTING

- Demand sensing and forecasting enables retailers to minimize stockouts & reduce excess inventory costs

TREND ANALYSIS

- Trend analysis powered by retail analytics empowering retailers to stay ahead of competitors

ASSORTMENT PLANNING

- Retail analytics enabling retailers to simulate different assortment scenarios for maximum revenue generation
8.6 SUPPLY CHAIN MANAGEMENT

CONTRACT MANAGEMENT

- By analyzing contract data, retailers optimizing contract management processes to drive operational efficiency

VENDOR MANAGEMENT

- Vendor management mitigates supply chain risks to enhance overall operational performance

WORK ORDER MANAGEMENT

- Real-time analytics optimize work order management processes across supply chain

INVOICE MANAGEMENT

- Invoice management analytics ensure timely payments and strong relationships with suppliers
8.7 FRAUD DETECTION & PREVENTION

POINT-OF-SALE (POS) VERIFICATION

- Retailers implement proactive measures to prevent fraud at point of sale by leveraging POS verification

PRODUCT COUNTERFEIT MANAGEMENT

- Retail analytics enabling retailers to implement robust counterfeit management strategies by leveraging data-driven insights

ROOT CAUSE ANALYSIS

- Root cause analysis helps retailers pinpoint vulnerabilities in processes, systems, or internal controls exploited by fraudsters

RISK ASSESSMENT & COMPLIANCE MANAGEMENT

- Retailers identify potential areas of vulnerability and prioritize resources for mitigating risks
8.8 OTHER APPLICATIONS

RETAIL ANALYTICS MARKET, BY END USER

143

9.1 INTRODUCTION

END USER: RETAIL ANALYTICS MARKET DRIVERS
9.2 END USER BY PRODUCT TYPE

INDUSTRIAL

- Retail analytics to empower industrial product retailers to stay agile, responsive, and competitive

- Raw materials

- Equipment

- Fabricated items

- Operating supplies

CONSUMER

- Retail analytics to encourage consumer product retailers to adapt to changing market conditions and capitalize on emerging trends

- Convenience goods

- Shopping goods

- Specialty goods

- Unsought goods
9.3 END USER BY CHANNEL TYPE

ONLINE

- Demand for intelligent analytical solutions in online retail sector to drive growth of retail analytics market

OFFLINE

- Integration of offline channel data into retail analytics solutions to be instrumental in shaping future of retail

RETAIL ANALYTICS MARKET, BY REGION

158

10.1 INTRODUCTION
10.2 NORTH AMERICA

NORTH AMERICA: RETAIL ANALYTICS MARKET DRIVERS

NORTH AMERICA: IMPACT OF RECESSION

US

- US retail analytics market poised for continued growth

CANADA

- Advancements highlight Canada's potential as hub for innovative retail analytics solutions
10.3 EUROPE

EUROPE: RETAIL ANALYTICS MARKET DRIVERS

EUROPE: IMPACT OF RECESSION

UK

- Domestic companies to shape future of retail analytics in UK

GERMANY

- German companies to be at forefront of advancements in retail analytics

FRANCE

- France's retail sector to present unique environment for retail analytics market

ITALY

- Italian government's initiatives toward digital transformation to create favorable environment for market

SPAIN

- Spanish retailers increasingly turning to analytics to enhance their marketing strategies

REST OF EUROPE
10.4 ASIA PACIFIC

ASIA PACIFIC: RETAIL ANALYTICS MARKET DRIVERS

ASIA PACIFIC: IMPACT OF RECESSION

INDIA

- Developments in Indian retail analytics market to showcase its dynamism

JAPAN

- Japanese companies to underscore region's commitment to driving growth and innovation within retail analytics sector

CHINA

- Increase in investment and shift in customer demands to drive market growth in China

ASEAN COUNTRIES

- ASEAN retail analytics market brimming with potential

SOUTH KOREA

- South Korean retail analytics market to thrive on innovation and data-driven approach

AUSTRALIA & NEW ZEALAND (ANZ)

- Potential for market expansion with growing technologies in Australian and New Zealand markets

REST OF ASIA PACIFIC
10.5 MIDDLE EAST & AFRICA

MIDDLE EAST & AFRICA: RETAIL ANALYTICS MARKET DRIVERS

MIDDLE EAST & AFRICA: IMPACT OF RECESSION

SAUDI ARABIA

- Increase in Saudi government's initiatives to promote digital transformation and innovation support retailers to invest in technology to modernize their operations

UAE

- Retail analytics enable unprecedented insights into consumer behavior, operational efficiency, and competitive strategy in UAE's dynamic retail landscape

SOUTH AFRICA

- Rise of e-commerce platforms and shifting consumer preferences toward online shopping further propel demand for analytics solutions

TURKEY

- Shift toward online shopping necessitate use of analytics to optimize digital channels and improve efficiency of online operations

EGYPT

- Rising need to streamline operations, improve inventory management, and enhance overall business efficiency to accelerate adoption of retail analytics software

REST OF MIDDLE EAST & AFRICA
10.6 LATIN AMERICA

LATIN AMERICA: RETAIL ANALYTICS MARKET DRIVERS

LATIN AMERICA: IMPACT OF RECESSION

BRAZIL

- Rise of e-commerce platforms and shifting consumer preferences towards online shopping to optimize digital channels and improve efficiency of online operations

MEXICO

- Mexican retailers to leverage analytics solutions to understand consumer preferences better, optimize inventory management, and enhance overall shopping experience

ARGENTINA

- Rise of e-commerce platforms and digitalization of retail to drive demand for analytics tools

REST OF LATIN AMERICA

COMPETITIVE LANDSCAPE

210

11.1 OVERVIEW
11.2 KEY PLAYER STRATEGIES
11.3 REVENUE ANALYSIS
11.4 MARKET SHARE ANALYSIS

MARKET RANKING ANALYSIS
11.5 BRAND/PRODUCT COMPARATIVE ANALYSIS
11.6 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS

STARS

EMERGING LEADERS

PERVASIVE PLAYERS

PARTICIPANTS

COMPANY FOOTPRINT: KEY PLAYERS

- Overall company footprint

- Region footprint

- End user footprint

- Application footprint

- Product footprint
11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES

PROGRESSIVE COMPANIES

RESPONSIVE COMPANIES

DYNAMIC COMPANIES

STARTING BLOCKS

COMPETITIVE BENCHMARKING: STARTUPS/SMES

- Detailed list of key startups/SMEs

- Competitive benchmarking of key startups/SMEs
11.9 COMPETITIVE SCENARIO AND TRENDS

PRODUCT LAUNCHES & ENHANCEMENTS

DEALS

COMPANY PROFILES

233

12.1 INTRODUCTION
12.2 KEY PLAYERS

MICROSOFT

- Business overview

- Products/Solutions/Services offered

- Recent developments

- MnM view

IBM

- Business overview

- Products/Solutions/Services offered

- Recent developments

- MnM view

SAP

- Business overview

- Products/Solutions/Services offered

- Recent developments

- MnM view

ORACLE

- Business overview

- Products/Solutions/Services offered

- Recent developments

- MnM view

SALESFORCE

- Business overview

- Products/Solutions/Services offered

- Recent developments

- MnM view

MICROSTRATEGY

- Business overview

- Products/Solutions/Services offered

- Recent developments

SAS INSTITUTE

- Business overview

- Products/Solutions/Services offered

- Recent developments

AWS

- Business overview

- Products/Solutions/Services offered

- Recent developments

QLIK

- Business overview

- Products/Solutions/Services offered

- Recent developments

TERADATA

- Business overview

- Products/Solutions/Services offered

- Recent developments
12.3 OTHER PLAYERS

WNS

HCL

LIGHTSPEED COMMERCE

RETAILNEXT

MANTHAN SYSTEMS

FIT ANALYTICS

TRAX

THOUGHTSPOT

RELEX SOLUTIONS

TREDENCE

CREATIO

SOLVOYO

DATAPINE

SISENSE

EDITED
12.4 STARTUP/SME PROFILES

RETAIL ZIPLINE

SYMPHONYAI

THINKINSIDE

DOR TECHNOLOGIES

TRIPLE WHALE

FLAME ANALYTICS

ALLOY.AI TECHNOLOGIES

CONJURA

KYVOS INSIGHTS

PYGMALIOS

ADJACENT AND RELATED MARKETS

286

13.1 INTRODUCTION
13.2 CUSTOMER EXPERIENCE MANAGEMENT MARKET - GLOBAL FORECAST TO 2028

MARKET DEFINITION

MARKET OVERVIEW

- Customer experience management market, by offering

- Customer experience management market, by deployment type

- Customer experience management market, by organization size

- Customer experience management market, by vertical

- Customer experience management market, by region
13.3 SUPPLY CHAIN ANALYTICS MARKET - GLOBAL FORECAST TO 2027

MARKET DEFINITION

MARKET OVERVIEW

- Supply chain analytics market, by component

- Supply chain analytics market, by service

- Supply chain analytics market, by deployment mode

- Supply chain analytics market, by organization size

- Supply chain analytics market, by vertical

- Supply chain analytics market, by region

APPENDIX

296

14.1 DISCUSSION GUIDE
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.3 CUSTOMIZATION OPTIONS
14.4 RELATED REPORTS
14.5 AUTHOR DETAILS

LIST OF TABLES

TABLE 1 RETAIL ANALYTICS MARKET DETAILED SEGMENTATION
TABLE 2 USD EXCHANGE RATES, 2019–2023
TABLE 3 PRIMARY INTERVIEWS
TABLE 4 FACTOR ANALYSIS
TABLE 5 IMPACT OF RECESSION ON RETAIL ANALYTICS MARKET
TABLE 6 GLOBAL RETAIL ANALYTICS MARKET SIZE AND GROWTH RATE, 2019–2023 (USD MILLION, Y-O-Y %)
TABLE 7 GLOBAL RETAIL ANALYTICS MARKET SIZE AND GROWTH RATE, 2024–2029 (USD MILLION, Y-O-Y %)
TABLE 8 RETAIL ANALYTICS MARKET: ECOSYSTEM
TABLE 9 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 10 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 11 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 12 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 13 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
TABLE 14 PATENTS FILED, 2013–2023
TABLE 15 TOP 20 PATENT OWNERS IN RETAIL ANALYTICS MARKET, 2013–2023
TABLE 16 LIST OF PATENTS GRANTED IN RETAIL ANALYTICS MARKET, 2023
TABLE 17 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY APPLICATION
TABLE 18 INDICATIVE PRICING LEVELS OF RETAIL ANALYTICS SOFTWARE, BY OFFERING
TABLE 19 RETAIL ANALYTICS MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2024–2025
TABLE 20 PORTER’S FIVE FORCES IMPACT ON RETAIL ANALYTICS MARKET
TABLE 21 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
TABLE 22 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
TABLE 23 MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 24 MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 25 RETAIL ANALYTICS SOFTWARE MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 26 RETAIL ANALYTICS SOFTWARE MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 27 RETAIL ANALYTICS SOFTWARE MARKET, BY ANALYTICS TYPE, 2019–2023 (USD MILLION)
TABLE 28 RETAIL ANALYTICS SOFTWARE MARKET, BY ANALYTICS TYPE, 2024–2029 (USD MILLION)
TABLE 29 DESCRIPTIVE ANALYTICS SOFTWARE MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 30 DESCRIPTIVE ANALYTICS SOFTWARE MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 31 DIAGNOSTIC ANALYTICS SOFTWARE MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 32 DIAGNOSTIC ANALYTICS SOFTWARE MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 33 PREDICTIVE ANALYTICS SOFTWARE MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 34 PREDICTIVE ANALYTICS SOFTWARE MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 35 PRESCRIPTIVE ANALYTICS SOFTWARE MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 36 PRESCRIPTIVE ANALYTICS SOFTWARE MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 37 RETAIL ANALYTICS SOFTWARE MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 38 RETAIL ANALYTICS SOFTWARE MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
TABLE 39 ON-PREMISES: RETAIL ANALYTICS SOFTWARE MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 40 ON-PREMISES: RETAIL ANALYTICS SOFTWARE MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 41 CLOUD: RETAIL ANALYTICS SOFTWARE MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 42 CLOUD: RETAIL ANALYTICS SOFTWARE MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 43 MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 44 RETAIL ANALYTICS MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 45 RETAIL ANALYTICS SERVICES MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 46 RETAIL ANALYTICS SERVICES MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 47 MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
TABLE 48 MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
TABLE 49 RETAIL ANALYTICS PROFESSIONAL SERVICES MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 50 RETAIL ANALYTICS PROFESSIONAL SERVICES MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 51 RETAIL ANALYTICS CONSULTING & ADVISORY SERVICES MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 52 RETAIL ANALYTICS CONSULTING & ADVISORY SERVICES MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 53 RETAIL ANALYTICS INTEGRATION & DEPLOYMENT SERVICES MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 54 RETAIL ANALYTICS INTEGRATION & DEPLOYMENT SERVICES MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 55 RETAIL ANALYTICS SUPPORT & MAINTENANCE SERVICES MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 56 RETAIL ANALYTICS SUPPORT & MAINTENANCE SERVICES MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 57 RETAIL ANALYTICS TRAINING & EDUCATION SERVICES MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 58 RETAIL ANALYTICS TRAINING & EDUCATION SERVICES MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 59 RETAIL ANALYTICS MANAGED SERVICES MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 60 RETAIL ANALYTICS MANAGED SERVICES MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 61 RETAIL ANALYTICS MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
TABLE 62 MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION)
TABLE 63 MARKET IN SALES & MARKETING, BY REGION, 2019–2023 (USD MILLION)
TABLE 64 MARKET IN SALES & MARKETING, BY REGION, 2024–2029 (USD MILLION)
TABLE 65 MARKET IN FINANCE & ACCOUNTING, BY REGION, 2019–2023 (USD MILLION)
TABLE 66 MARKET IN FINANCE & ACCOUNTING, BY REGION, 2024–2029 (USD MILLION)
TABLE 67 MARKET IN OPERATIONS & SUPPLY CHAIN, BY REGION, 2019–2023 (USD MILLION)
TABLE 68 MARKET IN OPERATIONS & SUPPLY CHAIN, BY REGION, 2024–2029 (USD MILLION)
TABLE 69 MARKET IN HR, BY REGION, 2019–2023 (USD MILLION)
TABLE 70 MARKET IN HR, BY REGION, 2024–2029 (USD MILLION)
TABLE 71 MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
TABLE 72 RETAIL ANALYTICS MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
TABLE 73 MARKET IN ORDER FULFILLMENT & RETURNS MANAGEMENT, BY REGION, 2019–2023 (USD MILLION)
TABLE 74 MARKET IN ORDER FULFILLMENT & RETURNS MANAGEMENT, BY REGION, 2024–2029 (USD MILLION)
TABLE 75 MARKET IN CUSTOMER RELATIONSHIP MANAGEMENT, BY REGION, 2019–2023 (USD MILLION)
TABLE 76 MARKET IN CUSTOMER RELATIONSHIP MANAGEMENT, BY REGION, 2024–2029 (USD MILLION)
TABLE 77 MARKET IN PRICE RECOMMENDATION & OPTIMIZATION, BY REGION, 2019–2023 (USD MILLION)
TABLE 78 MARKET IN PRICE RECOMMENDATION & OPTIMIZATION, BY REGION, 2024–2029 (USD MILLION)
TABLE 79 MARKET IN MERCHANDISE PLANNING, BY REGION, 2019–2023 (USD MILLION)
TABLE 80 MARKET IN MERCHANDISE PLANNING, BY REGION, 2024–2029 (USD MILLION)
TABLE 81 MARKET IN SUPPLY CHAIN MANAGEMENT, BY REGION, 2019–2023 (USD MILLION)
TABLE 82 MARKET IN SUPPLY CHAIN MANAGEMENT, BY REGION, 2024–2029 (USD MILLION)
TABLE 83 MARKET IN FRAUD DETECTION & PREVENTION, BY REGION, 2019–2023 (USD MILLION)
TABLE 84 MARKET IN FRAUD DETECTION & PREVENTION, BY REGION, 2024–2029 (USD MILLION)
TABLE 85 MARKET IN OTHER APPLICATIONS, BY REGION, 2019–2023 (USD MILLION)
TABLE 86 MARKET IN OTHER APPLICATIONS, BY REGION, 2024–2029 (USD MILLION)
TABLE 87 RETAIL ANALYTICS END USER MARKET, BY PRODUCT TYPE, 2019–2023 (USD MILLION)
TABLE 88 RETAIL ANALYTICS END USER MARKET, BY PRODUCT TYPE, 2024–2029 (USD MILLION)
TABLE 89 RETAIL ANALYTICS END USER MARKET, BY INDUSTRIAL PRODUCT TYPE, 2019–2023 (USD MILLION)
TABLE 90 RETAIL ANALYTICS END USER MARKET, BY INDUSTRIAL PRODUCT TYPE, 2024–2029 (USD MILLION)
TABLE 91 INDUSTRIAL END USER: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 92 INDUSTRIAL END USER: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 93 RAW MATERIALS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 94 RAW MATERIALS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 95 EQUIPMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 96 EQUIPMENT: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 97 FABRICATED ITEMS: RETAIL ANALYTICS MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 98 FABRICATED ITEMS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 99 OPERATING SUPPLIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 100 OPERATING SUPPLIES: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 101 RETAIL ANALYTICS END USER MARKET, BY CONSUMER PRODUCT TYPE, 2019–2023 (USD MILLION)
TABLE 102 RETAIL ANALYTICS END USER MARKET, BY CONSUMER PRODUCT TYPE, 2024–2029 (USD MILLION)
TABLE 103 CONSUMER END USER: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 104 CONSUMER END USER: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 105 CONVENIENCE GOODS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 106 CONVENIENCE GOODS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 107 SHOPPING GOODS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 108 SHOPPING GOODS: RETAIL ANALYTICS MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 109 SPECIALTY GOODS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 110 SPECIALTY GOODS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 111 UNSOUGHT GOODS: MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 112 UNSOUGHT GOODS: MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 113 RETAIL ANALYTICS END USER MARKET, BY CHANNEL TYPE, 2019–2023 (USD MILLION)
TABLE 114 RETAIL ANALYTICS END USER MARKET, BY CHANNEL TYPE, 2024–2029 (USD MILLION)
TABLE 115 ONLINE: RETAIL ANALYTICS END USER MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 116 ONLINE: RETAIL ANALYTICS END USER MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 117 OFFLINE: RETAIL ANALYTICS END USER MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 118 OFFLINE: RETAIL ANALYTICS END USER MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 119 RETAIL ANALYTICS MARKET, BY REGION, 2019–2023 (USD MILLION)
TABLE 120 MARKET, BY REGION, 2024–2029 (USD MILLION)
TABLE 121 NORTH AMERICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 122 NORTH AMERICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 123 NORTH AMERICA: RETAIL ANALYTICS SOFTWARE MARKET, BY ANALYTICS TYPE, 2019–2023 (USD MILLION)
TABLE 124 NORTH AMERICA: RETAIL ANALYTICS SOFTWARE MARKET, BY ANALYTICS TYPE, 2024–2029 (USD MILLION)
TABLE 125 NORTH AMERICA: RETAIL ANALYTICS SOFTWARE MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 126 NORTH AMERICA: RETAIL ANALYTICS SOFTWARE MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
TABLE 127 NORTH AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 128 NORTH AMERICA: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 129 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
TABLE 130 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
TABLE 131 NORTH AMERICA: MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
TABLE 132 NORTH AMERICA: MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION)
TABLE 133 NORTH AMERICA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
TABLE 134 NORTH AMERICA: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
TABLE 135 NORTH AMERICA: RETAIL ANALYTICS END USER MARKET, BY PRODUCT TYPE, 2019–2023 (USD MILLION)
TABLE 136 NORTH AMERICA: RETAIL ANALYTICS END USER MARKET, BY PRODUCT TYPE, 2024–2029 (USD MILLION)
TABLE 137 NORTH AMERICA: MARKET, BY INDUSTRIAL PRODUCT TYPE, 2019–2023 (USD MILLION)
TABLE 138 NORTH AMERICA: MARKET, BY INDUSTRIAL PRODUCT TYPE, 2024–2029 (USD MILLION)
TABLE 139 NORTH AMERICA: MARKET, BY CONSUMER PRODUCT TYPE, 2019–2023 (USD MILLION)
TABLE 140 NORTH AMERICA: MARKET, BY CONSUMER PRODUCT TYPE, 2024–2029 (USD MILLION)
TABLE 141 NORTH AMERICA: RETAIL ANALYTICS END USER MARKET, BY CHANNEL, 2019–2023 (USD MILLION)
TABLE 142 NORTH AMERICA: RETAIL ANALYTICS END USER MARKET, BY CHANNEL, 2024–2029 (USD MILLION)
TABLE 143 NORTH AMERICA: RETAIL ANALYTICS MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 144 NORTH AMERICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 145 EUROPE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 146 EUROPE: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 147 EUROPE: RETAIL ANALYTICS SOFTWARE MARKET, BY ANALYTICS TYPE, 2019–2023 (USD MILLION)
TABLE 148 EUROPE: RETAIL ANALYTICS SOFTWARE MARKET, BY ANALYTICS TYPE, 2024–2029 (USD MILLION)
TABLE 149 EUROPE: RETAIL ANALYTICS SOFTWARE MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 150 EUROPE: RETAIL ANALYTICS SOFTWARE MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
TABLE 151 EUROPE: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 152 EUROPE: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 153 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
TABLE 154 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
TABLE 155 EUROPE: MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
TABLE 156 EUROPE: MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION)
TABLE 157 EUROPE: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
TABLE 158 EUROPE: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
TABLE 159 EUROPE: RETAIL ANALYTICS END USER MARKET, BY PRODUCT TYPE, 2019–2023 (USD MILLION)
TABLE 160 EUROPE: RETAIL ANALYTICS END USER MARKET, BY PRODUCT TYPE, 2024–2029 (USD MILLION)
TABLE 161 EUROPE: MARKET, BY INDUSTRIAL PRODUCT TYPE, 2019–2023 (USD MILLION)
TABLE 162 EUROPE: MARKET, BY INDUSTRIAL PRODUCT TYPE, 2024–2029 (USD MILLION)
TABLE 163 EUROPE: MARKET, BY CONSUMER PRODUCT TYPE, 2019–2023 (USD MILLION)
TABLE 164 EUROPE: MARKET, BY CONSUMER PRODUCT TYPE, 2024–2029 (USD MILLION)
TABLE 165 EUROPE: RETAIL ANALYTICS END USER MARKET, BY CHANNEL, 2019–2023 (USD MILLION)
TABLE 166 EUROPE: RETAIL ANALYTICS END USER MARKET, BY CHANNEL, 2024–2029 (USD MILLION)
TABLE 167 EUROPE: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 168 EUROPE: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 169 ASIA PACIFIC: RETAIL ANALYTICS MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 170 ASIA PACIFIC: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 171 ASIA PACIFIC: RETAIL ANALYTICS SOFTWARE MARKET, BY ANALYTICS TYPE, 2019–2023 (USD MILLION)
TABLE 172 ASIA PACIFIC: RETAIL ANALYTICS SOFTWARE MARKET, BY ANALYTICS TYPE, 2024–2029 (USD MILLION)
TABLE 173 ASIA PACIFIC: RETAIL ANALYTICS SOFTWARE MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 174 ASIA PACIFIC: RETAIL ANALYTICS SOFTWARE MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
TABLE 175 ASIA PACIFIC: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 176 ASIA PACIFIC: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 177 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
TABLE 178 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
TABLE 179 ASIA PACIFIC: MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
TABLE 180 ASIA PACIFIC: MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION)
TABLE 181 ASIA PACIFIC: RETAIL ANALYTICS MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
TABLE 182 ASIA PACIFIC: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
TABLE 183 ASIA PACIFIC: RETAIL ANALYTICS END USER MARKET, BY PRODUCT TYPE, 2019–2023 (USD MILLION)
TABLE 184 ASIA PACIFIC: RETAIL ANALYTICS END USER MARKET, BY PRODUCT TYPE, 2024–2029 (USD MILLION)
TABLE 185 ASIA PACIFIC: MARKET, BY INDUSTRIAL PRODUCT TYPE, 2019–2023 (USD MILLION)
TABLE 186 ASIA PACIFIC: MARKET, BY INDUSTRIAL PRODUCT TYPE, 2024–2029 (USD MILLION)
TABLE 187 ASIA PACIFIC: MARKET, BY CONSUMER PRODUCT TYPE, 2019–2023 (USD MILLION)
TABLE 188 ASIA PACIFIC: MARKET, BY CONSUMER PRODUCT TYPE, 2024–2029 (USD MILLION)
TABLE 189 ASIA PACIFIC: RETAIL ANALYTICS END USER MARKET, BY CHANNEL, 2019–2023 (USD MILLION)
TABLE 190 ASIA PACIFIC: RETAIL ANALYTICS END USER MARKET, BY CHANNEL, 2024–2029 (USD MILLION)
TABLE 191 ASIA PACIFIC: RETAIL ANALYTICS MARKET, BY COUNTRY/REGION, 2019–2023 (USD MILLION)
TABLE 192 ASIA PACIFIC: MARKET, BY COUNTRY/REGION, 2024–2029 (USD MILLION)
TABLE 193 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 194 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 195 MIDDLE EAST & AFRICA: RETAIL ANALYTICS SOFTWARE MARKET, BY ANALYTICS TYPE, 2019–2023 (USD MILLION)
TABLE 196 MIDDLE EAST & AFRICA: RETAIL ANALYTICS SOFTWARE MARKET, BY ANALYTICS TYPE, 2024–2029 (USD MILLION)
TABLE 197 MIDDLE EAST & AFRICA: RETAIL ANALYTICS SOFTWARE MARKET SIZE, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 198 MIDDLE EAST & AFRICA: RETAIL ANALYTICS SOFTWARE MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
TABLE 199 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 200 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 201 MIDDLE EAST & AFRICA: RETAIL ANALYTICS MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
TABLE 202 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
TABLE 203 MIDDLE EAST & AFRICA: MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
TABLE 204 MIDDLE EAST & AFRICA: MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION)
TABLE 205 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
TABLE 206 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
TABLE 207 MIDDLE EAST & AFRICA: RETAIL ANALYTICS END USER MARKET, BY PRODUCT TYPE, 2019–2023 (USD MILLION)
TABLE 208 MIDDLE EAST & AFRICA: RETAIL ANALYTICS END USER MARKET, BY PRODUCT TYPE, 2024–2029 (USD MILLION)
TABLE 209 MIDDLE EAST & AFRICA: RETAIL ANALYTICS MARKET, BY INDUSTRIAL PRODUCT TYPE, 2019–2023 (USD MILLION)
TABLE 210 MIDDLE EAST & AFRICA: MARKET, BY INDUSTRIAL PRODUCT TYPE, 2024–2029 (USD MILLION)
TABLE 211 MIDDLE EAST & AFRICA: MARKET, BY CONSUMER PRODUCT TYPE, 2019–2023 (USD MILLION)
TABLE 212 MIDDLE EAST & AFRICA: MARKET, BY CONSUMER PRODUCT TYPE, 2024–2029 (USD MILLION)
TABLE 213 MIDDLE EAST & AFRICA: RETAIL ANALYTICS END USER MARKET, BY CHANNEL, 2019–2023 (USD MILLION)
TABLE 214 MIDDLE EAST & AFRICA: RETAIL ANALYTICS END USER MARKET, BY CHANNEL, 2024–2029 (USD MILLION)
TABLE 215 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 216 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 217 LATIN AMERICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
TABLE 218 LATIN AMERICA: MARKET, BY OFFERING, 2024–2029 (USD MILLION)
TABLE 219 LATIN AMERICA: RETAIL ANALYTICS SOFTWARE MARKET, BY ANALYTICS TYPE, 2019–2023 (USD MILLION)
TABLE 220 LATIN AMERICA: RETAIL ANALYTICS SOFTWARE MARKET, BY ANALYTICS TYPE, 2024–2029 (USD MILLION)
TABLE 221 LATIN AMERICA: RETAIL ANALYTICS SOFTWARE MARKET SIZE, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
TABLE 222 LATIN AMERICA: RETAIL ANALYTICS SOFTWARE MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
TABLE 223 LATIN AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
TABLE 224 LATIN AMERICA: MARKET, BY SERVICE, 2024–2029 (USD MILLION)
TABLE 225 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
TABLE 226 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2029 (USD MILLION)
TABLE 227 LATIN AMERICA: MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
TABLE 228 LATIN AMERICA: MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION)
TABLE 229 LATIN AMERICA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
TABLE 230 LATIN AMERICA: MARKET, BY APPLICATION, 2024–2029 (USD MILLION)
TABLE 231 LATIN AMERICA: RETAIL ANALYTICS END USER MARKET, BY PRODUCT TYPE, 2019–2023 (USD MILLION)
TABLE 232 LATIN AMERICA: RETAIL ANALYTICS END USER MARKET, BY PRODUCT TYPE, 2024–2029 (USD MILLION)
TABLE 233 LATIN AMERICA: MARKET, BY INDUSTRIAL PRODUCT TYPE, 2019–2023 (USD MILLION)
TABLE 234 LATIN AMERICA: MARKET, BY INDUSTRIAL PRODUCT TYPE, 2024–2029 (USD MILLION)
TABLE 235 LATIN AMERICA: MARKET, BY CONSUMER PRODUCT TYPE, 2019–2023 (USD MILLION)
TABLE 236 LATIN AMERICA: MARKET, BY CONSUMER PRODUCT TYPE, 2024–2029 (USD MILLION)
TABLE 237 LATIN AMERICA: RETAIL ANALYTICS END USER MARKET, BY CHANNEL, 2019–2023 (USD MILLION)
TABLE 238 LATIN AMERICA: RETAIL ANALYTICS END USER MARKET, BY CHANNEL, 2024–2029 (USD MILLION)
TABLE 239 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
TABLE 240 LATIN AMERICA: MARKET, BY COUNTRY, 2024–2029 (USD MILLION)
TABLE 241 OVERVIEW OF STRATEGIES ADOPTED BY KEY RETAIL ANALYTICS VENDORS
TABLE 242 RETAIL ANALYTICS MARKET: DEGREE OF COMPETITION
TABLE 243 RETAIL ANALYTICS MARKET: REGIONAL FOOTPRINT (25 COMPANIES)
TABLE 244 RETAIL ANALYTICS MARKET: END USER FOOTPRINT (25 COMPANIES)
TABLE 245 RETAIL ANALYTICS MARKET: APPLICATION FOOTPRINT (25 COMPANIES)
TABLE 246 RETAIL ANALYTICS MARKET: PRODUCT FOOTPRINT (25 COMPANIES)
TABLE 247 RETAIL ANALYTICS MARKET: DETAILED LIST OF KEY STARTUPS/SMES
TABLE 248 RETAIL ANALYTICS MARKET: COMPETITIVE BENCHMARKING OF STARTUPS/SMES
TABLE 249 RETAIL ANALYTICS MARKET: PRODUCT LAUNCHES & ENHANCEMENTS, JANUARY 2021–FEBRUARY 2024
TABLE 250 RETAIL ANALYTICS MARKET: DEALS, JANUARY 2021–FEBRUARY 2024
TABLE 251 MICROSOFT: BUSINESS OVERVIEW
TABLE 252 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 253 MICROSOFT: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 254 MICROSOFT: DEALS
TABLE 255 IBM: BUSINESS OVERVIEW
TABLE 256 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 257 IBM: PRODUCT LAUNCHES & ENHANCEMENTS
TABLE 258 IBM: DEALS
TABLE 259 SAP: BUSINESS OVERVIEW
TABLE 260 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 261 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 262 ORACLE: BUSINESS OVERVIEW
TABLE 263 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 264 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 265 ORACLE: DEALS
TABLE 266 SALESFORCE: BUSINESS OVERVIEW
TABLE 267 SALESFORCE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 268 SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 269 SALESFORCE: DEALS
TABLE 270 MICROSTRATEGY: BUSINESS OVERVIEW
TABLE 271 MICROSTRATEGY: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 272 MICROSTRATEGY: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 273 MICROSTRATEGY: DEALS
TABLE 274 SAS INSTITUTE: BUSINESS OVERVIEW
TABLE 275 SAS INSTITUTE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 276 SAS INSTITUTE: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 277 SAS INSTITUTE: DEALS
TABLE 278 AWS: BUSINESS OVERVIEW
TABLE 279 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 280 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 281 AWS: DEALS
TABLE 282 QLIK: BUSINESS OVERVIEW
TABLE 283 QLIK: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 284 QLIK: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 285 QLIK: DEALS
TABLE 286 TERADATA: BUSINESS OVERVIEW
TABLE 287 TERADATA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
TABLE 288 TERADATA: PRODUCT LAUNCHES AND ENHANCEMENTS
TABLE 289 TERADATA: DEALS
TABLE 290 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY OFFERING, 2017–2022 (USD MILLION)
TABLE 291 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY OFFERING, 2023–2028 (USD MILLION)
TABLE 292 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY DEPLOYMENT TYPE, 2017–2022 (USD MILLION)
TABLE 293 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY DEPLOYMENT TYPE, 2023–2028 (USD MILLION)
TABLE 294 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY ORGANIZATION SIZE, 2017–2022 (USD MILLION)
TABLE 295 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
TABLE 296 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY VERTICAL, 2017–2022 (USD MILLION)
TABLE 297 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
TABLE 298 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY REGION, 2017–2022 (USD MILLION)
TABLE 299 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 300 SUPPLY CHAIN ANALYTICS MARKET, BY COMPONENT, 2016–2021 (USD MILLION)
TABLE 301 SUPPLY CHAIN ANALYTICS MARKET, BY COMPONENT, 2022–2027 (USD MILLION)
TABLE 302 SUPPLY CHAIN ANALYTICS MARKET, BY SERVICE, 2016–2021 (USD MILLION)
TABLE 303 SUPPLY CHAIN ANALYTICS MARKET, BY SERVICE, 2022–2027 (USD MILLION)
TABLE 304 SUPPLY CHAIN ANALYTICS MARKET, BY DEPLOYMENT MODE, 2016–2021 (USD MILLION)
TABLE 305 SUPPLY CHAIN ANALYTICS MARKET, BY DEPLOYMENT MODE, 2022–2027 (USD MILLION)
TABLE 306 SUPPLY CHAIN ANALYTICS MARKET, BY ORGANIZATION SIZE, 2016–2021 (USD MILLION)
TABLE 307 SUPPLY CHAIN ANALYTICS MARKET, BY ORGANIZATION SIZE, 2022–2027 (USD MILLION)
TABLE 308 SUPPLY CHAIN ANALYTICS MARKET, BY VERTICAL, 2016–2021 (USD MILLION)
TABLE 309 SUPPLY CHAIN ANALYTICS MARKET, BY VERTICAL, 2022–2027 (USD MILLION)
TABLE 310 SUPPLY CHAIN ANALYTICS MARKET, BY REGION, 2016–2021 (USD MILLION)
TABLE 311 SUPPLY CHAIN ANALYTICS MARKET, BY REGION, 2022–2027 (USD MILLION)

LIST OF FIGURES

FIGURE 1 RETAIL ANALYTICS MARKET SEGMENTATION
FIGURE 2 REGIONAL SEGMENTATION
FIGURE 3 RETAIL ANALYTICS MARKET: RESEARCH DESIGN
FIGURE 4 BREAKUP OF PRIMARY PROFILES, BY COMPANY TYPE, DESIGNATION, AND REGION
FIGURE 5 KEY INDUSTRY INSIGHTS FROM EXPERTS
FIGURE 6 RETAIL ANALYTICS MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
FIGURE 7 APPROACH 1 (BOTTOM-UP; SUPPLY-SIDE): REVENUE FROM SOFTWARE/SERVICE VENDORS OF RETAIL ANALYTICS
FIGURE 8 APPROACH 2 (BOTTOM-UP; SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE/SERVICES OF RETAIL ANALYTICS MARKET
FIGURE 9 APPROACH 3 (BOTTOM-UP; SUPPLY-SIDE): RETAIL ANALYTICS MARKET ESTIMATION AND CORRESPONDING SOURCES
FIGURE 10 APPROACH 4 (BOTTOM-UP; DEMAND-SIDE): SHARE OF OFFERINGS THROUGH OVERALL RETAIL ANALYTICS SPENDING
FIGURE 11 DATA TRIANGULATION
FIGURE 12 SOFTWARE SEGMENT TO DOMINATE MARKET IN 2024
FIGURE 13 PREDICTIVE ANALYTICS TO HOLD LARGEST MARKET SHARE IN 2024
FIGURE 14 ON-PREMISES SEGMENT TO DOMINATE MARKET IN 2024
FIGURE 15 PROFESSIONAL SERVICES TO DOMINATE RETAIL ANALYTICS MARKET IN 2024
FIGURE 16 INTEGRATION & DEPLOYMENT SEGMENT TO DOMINATE RETAIL ANALYTICS MARKET IN 2024
FIGURE 17 SALES & MARKETING TO HOLD LARGEST MARKET SHARE IN 2024
FIGURE 18 ORDER FULFILLMENT & RETURNS MANAGEMENT SEGMENT TO DOMINATE RETAIL ANALYTICS MARKET IN 2024
FIGURE 19 CONSUMER END USER SEGMENT TO HOLD LARGER SHARE IN 2024
FIGURE 20 RAW MATERIALS INDUSTRIAL END USER SEGMENT TO DOMINATE RETAIL ANALYTICS MARKET IN 2024
FIGURE 21 CONVENIENCE GOODS CONSUMER END USER SEGMENT TO HOLD LARGEST MARKET SHARE IN 2024
FIGURE 22 ONLINE CHANNEL SEGMENT TO DOMINATE MARKET IN 2024
FIGURE 23 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 24 EXPONENTIAL GROWTH OF E-COMMERCE PLATFORMS AND PROLIFERATION OF DATA GENERATED THROUGH DIVERSE CHANNELS TO DRIVE MARKET GROWTH
FIGURE 25 PRICE RECOMMENDATIONS & OPTIMIZATION SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 26 SOFTWARE SEGMENT AND ONLINE END USER SEGMENT TO HOLD LARGEST MARKET SHARES IN NORTH AMERICA IN 2024
FIGURE 27 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2024
FIGURE 28 RETAIL ANALYTICS MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
FIGURE 29 GLOBAL RETAIL ECOMMERCE SALES, 2014–2021 (USD TRILLION)
FIGURE 30 MOST VISITED ONLINE RETAIL WEBSITES WORLDWIDE, BY MONTHLY TRAFFIC, 2022
FIGURE 31 GLOBAL LOSSES DUE TO ECOMMERCE PAYMENT FRAUD, 2020–2023 (USD BILLION)
FIGURE 32 RETAIL ANALYTICS MARKET: EVOLUTION
FIGURE 33 RETAIL ANALYTICS MARKET: ARCHITECTURE
FIGURE 34 RETAIL ANALYTICS MARKET: VALUE/SUPPLY CHAIN ANALYSIS
FIGURE 35 RETAIL ANALYTICS MARKET MAP: KEY PLAYERS
FIGURE 36 TOTAL NUMBER OF PATENTS GRANTED, 2013–2023
FIGURE 37 TOP 10 APPLICANTS IN RETAIL ANALYTICS MARKET, 2013–2023
FIGURE 38 REGIONAL ANALYSIS OF PATENTS GRANTED, 2023
FIGURE 39 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY APPLICATION (USD/YEAR)
FIGURE 40 PORTER’S FIVE FORCES ANALYSIS: RETAIL ANALYTICS MARKET
FIGURE 41 RETAIL ANALYTICS MARKET: INVESTMENT LANDSCAPE AND FUNDING SCENARIO (USD MILLION AND NUMBER OF FUNDING ROUNDS)
FIGURE 42 TRENDS/DISRUPTIONS IMPACTING CUSTOMER’S BUSINESS
FIGURE 43 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE APPLICATIONS
FIGURE 44 KEY BUYING CRITERIA FOR TOP THREE APPLICATIONS
FIGURE 45 SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
FIGURE 46 PREDICTIVE ANALYTICS SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
FIGURE 47 CLOUD SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
FIGURE 48 MANAGED SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
FIGURE 49 SUPPORT & MAINTENANCE SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 50 OPERATIONS & SUPPLY CHAIN SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 51 PRICE RECOMMENDATION & OPTIMIZATION SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 52 INDUSTRIAL SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
FIGURE 53 FABRICATED ITEMS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 54 SPECIALTY GOODS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 55 ONLINE SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
FIGURE 56 INDIA TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 57 ASIA PACIFIC TO WITNESS HIGHEST CAGR DURING FORECAST PERIOD
FIGURE 58 NORTH AMERICA: MARKET SNAPSHOT
FIGURE 59 ASIA PACIFIC: MARKET SNAPSHOT
FIGURE 60 TOP FIVE PLAYERS DOMINATING MARKET FROM 2019 TO 2023 (USD MILLION)
FIGURE 61 SHARE OF LEADING COMPANIES IN RETAIL ANALYTICS MARKET, 2023
FIGURE 62 BRAND/PRODUCT COMPARATIVE ANALYSIS
FIGURE 63 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
FIGURE 64 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
FIGURE 65 RETAIL ANALYTICS MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023
FIGURE 66 RETAIL ANALYTICS MARKET: OVERALL COMPANY FOOTPRINT (25 COMPANIES)
FIGURE 67 RETAIL ANALYTICS MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2023
FIGURE 68 MICROSOFT: COMPANY SNAPSHOT
FIGURE 69 IBM: COMPANY SNAPSHOT
FIGURE 70 SAP: COMPANY SNAPSHOT
FIGURE 71 ORACLE: COMPANY SNAPSHOT
FIGURE 72 SALESFORCE: COMPANY SNAPSHOT
FIGURE 73 MICROSTRATEGY: COMPANY SNAPSHOT
FIGURE 74 AWS: COMPANY SNAPSHOT
FIGURE 75 TERADATA: COMPANY SNAPSHOT

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.

Secondary Research

In the secondary research process, various sources were referred to, for identifying and collecting information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. The data was also collected from other secondary sources, such as journals, government websites, blogs, and vendors' websites. Additionally, retail analytics spending of various countries were extracted from the respective sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on software, services, market classification, and segmentation according to offerings of major players, industry trends related to software, services, deployment modes, business function, application, end user, and regions, and key developments from both market- and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and retail analytics expertise; related key executives from retail analytics solution vendors, SIs, professional service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from software and services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped understand various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using retail analytics solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of retail analytics software and services, which would impact the overall retail analytics market.

Retail Analytics Market Size, and Share

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

Market Size Estimation

In the bottom-up approach, the adoption rate of retail analytics solutions and services among different end users in key countries concerning their regions contributing the most to the market share was identified. For cross-validation, the adoption of retail analytics solutions and services among industries and different use cases concerning their regions was identified and extrapolated. Weightage was given to use cases identified in different regions for the market size calculation.

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the retail analytics market’s regional penetration. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major retail analytics providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primaries, the exact values of the overall retail analytics market size and segments’ size were determined and confirmed using the study.

Global Retail Analytics Market Size: Bottom-Up and Top-Down Approach:

Retail Analytics Market Bottom Up and Top Down Approach

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Data Triangulation

Market Definition

Retail analytics involves using software to collect and analyze data from physical, online, and catalog outlets to provide retailers with insights into customer behavior and shopping trends. It can also be used to inform and improve decisions about pricing, inventory, marketing, merchandising, and store operations by applying predictive algorithms against data from both internal sources (such as customer purchase histories) and external repositories (such as weather forecasts).

STAKEHOLDERS

Application design and software developers
Retail analytics vendors
Business analysts
Cloud service providers
Consulting service providers
Data scientists
Distributors and Value-added Resellers (VARs)
Government agencies
Independent Software Vendors (ISV)
Market research and consulting firms
Support and maintenance service providers
System Integrators (SIs)/migration service providers
Technology providers
Value-added resellers (VARs)

Report Objectives

To define, describe, and predict the retail analytics market by offering (software and services), business function, application, end user, and region
To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
To analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total market
To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the retail analytics market
To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
To profile key players and comprehensively analyze their market rankings and core competencies.
To analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the retail analytics market
To analyze the impact of recession across all the regions across the retail analytics market

Scope of the Report

Report Metrics	Details
Market size available for years	2019–2029
Base year considered	2023
Forecast period	2024–2029
Forecast units	USD (Billion)
Segments Covered	Offering, Business Function, Application, End User, and Region
Geographies covered	North America, Asia Pacific, Europe, Middle East & Africa, and Latin America
Companies covered	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)

This research report categorizes the retail analytics market based on offering, business function, application, end user, and region.

By Offering:

Software by Analytics Type
- Descriptive Analytics
- Diagnostic Analytics
- Predictive Analytics
- Prescriptive Analytics
Software by Deployment Mode
- Cloud
- On-premise
Services
- Consulting & Advisory
- Integration & Deployment
- Support & Maintenance
- Training & Education

By Business Function:

Sales & Marketing
Operations & Supply Chain
Finance & Accounting
HR

By Application:

Order Fulfillment & Returns Management
- Order Processing & Packaging
- Shipping & Transportation
- Returns Processing
- Payment Processing
Customer Relationship Management
- Customer Segmentation
- Revenue Optimization
- Customer Retention
- Predictive Modeling
Price Recommendation & Optimization
- Prsonalised Pricing
- Real-Time Price Adjustment
- Price Optimization Strategy
Merchandise Planning
- Demand Sensing & Forecasting
- Trend Analysis
- Assortment Planning
Supply Chain Management
- Contract Management
- Vendor Management
- Work Order Management
- Invoice Management
Fraud Detection & Prevention
- Point-Of-Sale (Pos) Verification
- Product Counterfeit Management
- Root Cause Analysis
- Risk Assessment & Complaince Management
Other Applications (Store Performance Monitoring Management And Brand Management)

By End User:

End User by Product Type
- Industry
- Consumer
End User by Channel
- Online
- Offline

By Region:

North America
- US
- Canada
Europe
- UK
- Germany
- France
- Italy
- Spain
- Rest of Europe
Asia Pacific
- China
- India
- Japan
- Australia and New Zealand (ANZ)
- South Korea
- ASEAN Countries
- Rest of Asia Pacific
Middle East & Africa
- UAE
- Saudi Arabia
- South Africa
- Turkey
- Egypt
- Rest of the Middle East & Africa
Latin America
- Brazil
- Mexico
- Argentina
- Rest of Latin America

Available Customizations

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

Product Analysis

Product quadrant, which gives a detailed comparison of the product portfolio of each company.

Geographic Analysis

Further breakup of the North American retail analytics market
Further breakup of the European retail analytics market
Further breakup of the Asia Pacific retail analytics market
Further breakup of the Middle Eastern & African retail analytics market
Further breakup of the Latin America retail analytics market

Previous Versions of this Report

Retail Analytics Market by Application (Merchandising Analysis, Customer Analytics, and Promotional Analysis and Planning), Business Function (Finance and Operations), Component, Organization Size, End User, and Region - Global Forecast to 2025

Report Code TC 2663

Published in Oct, 2020, By MarketsandMarkets™

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

Report Code TC 2663

Published in Aug, 2017, By MarketsandMarkets™

Retail Analytics Market by Business Function: Marketing and Customer Analytics, Merchandizing and In-Store Analytics, Supply Chain Analytics, Strategy and Planning; by Type: Solutions and Services) - Global Forecast and Analysis to 2020

Report Code TC 2663

Published in Nov, 2015, By MarketsandMarkets™

Retail Analytics Market by Business Function (Marketing and Customer, Merchandizing and In-store, Supply Chain, Strategy and Planning), & by Solutions (Analytical Tools, Mobile Applications, Reporting Tools) � Worldwide Forecasts and Analysis (2014 � 2019)

Report Code TC 2663

Published in Aug, 2014, By MarketsandMarkets™

Retail Analytics Market

Retail Analytics Market by Software (Predictive Analytics, Prescriptive Analytics), Business Function (Sales and Marketing, Finance and Accounting), Application (CRM, Returns Management, Merchandize Planning), End User and Region - Global Forecast to 2029

Overview

Attractive Opportunities in the Retail Analytics Market

Asia Pacific

Global Retail Analytics Market Dynamics

Driver: Exponential growth of e-commerce platforms

Restraints: Rising integration challenges with legacy systems due to diverse data sources

Opportunity: Integration of AI and ML with retail analytics will create new opportunities for innovation

Challenge: Complexity of assortment in the retail analytics

Global Retail Analytics Market Ecosystem Analysis

By professional services, the Support & Maintenance segment registered the highest CAGR during the forecast period.

By application, Price Recommendation & Optimization segment to register the highest CAGR during the forecast period.

North America region holds the largest share of the Retail Analytics Market.

Recent Developments of Retail Analytics Market industry

Key Market Players

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Key Questions Addressed by the Report

Adjacent Markets

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Table of Contents

Secondary Research

Primary Research

Market Size Estimation

Global Retail Analytics Market Size: Bottom-Up and Top-Down Approach:

Data Triangulation

Market Definition

STAKEHOLDERS

Report Objectives

Scope of the Report

By Offering:

By Business Function:

By Application:

By End User:

By Region:

Available Customizations

Product Analysis

Geographic Analysis

Company Information

Previous Versions of this Report

Retail Analytics Market by Application (Merchandising Analysis, Customer Analytics, and Promotional Analysis and Planning), Business Function (Finance and Operations), Component, Organization Size, End User, and Region - Global Forecast to 2025

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 Business Function: Marketing and Customer Analytics, Merchandizing and In-Store Analytics, Supply Chain Analytics, Strategy and Planning; by Type: Solutions and Services) - Global Forecast and Analysis to 2020

Retail Analytics Market by Business Function (Marketing and Customer, Merchandizing and In-store, Supply Chain, Strategy and Planning), & by Solutions (Analytical Tools, Mobile Applications, Reporting Tools) � Worldwide Forecasts and Analysis (2014 � 2019)

Custom Market Research Services

Growth opportunities and latent adjacency in Retail Analytics Market

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Scope of the Report