
Argentina Retail Analytics Market Overview,2030
Description
The retail analytics scene in Argentina is currently in its initial stages but is progressing consistently, with major supermarket chains at the forefront of a shift toward data-driven change. In the past, the use of analytics started with the integration of point-of-sale (POS) systems, which enabled businesses to gather transactional data from various locations. This crucial move set the stage for the embrace of cloud solutions, especially in urban retail spaces, where technological readiness and infrastructure facilitated the implementation of more advanced analytics. Nowadays, analytics is utilized not only for assessing performance but also for tackling significant strategic issues primarily, maintaining stable prices amid economic unpredictability and enhancing stock management across various areas. Retailers are increasingly depending on information obtained from POS systems, marketing initiatives, and supplier connections to create elasticity models that clarify how alterations in pricing influence consumer behavior. These findings are vital in an environment where inflation and changes in currency can impact buying patterns and supply chain operations. By reviewing past data and current inputs, retailers can make smarter choices regarding pricing, product range, and restocking minimizing stockouts and boosting profits. The development of retail analytics in Argentina is aided by specialized consulting firms and local collaborations that provide customized solutions and integration support. These companies assist retailers in addressing technical challenges, aligning analytics with their business objectives, and adhering to local data governance regulations. Although the industry is still evolving, the progress is evident analytics is turning into a vital resource for Argentine retailers aiming for resilience, efficiency, and customer focus. With the expansion of cloud infrastructure and an increase in data literacy, the retail sector in the country is ready to discover more profound insights and enhance operations changing analytics from a simple support tool into a factor for competitive success.
According to the research report, "" Argentina Retail Analytics Market Overview, 2030,"" published by Bonafide Research, the Argentina Retail Analytics market was valued at USD 70 Million in 2024. Argentina's retail analytics industry, although still modest in size, is progressively growing as leading retailers upgrade their operations in response to economic changes and evolving consumer preferences. Traditionally dependent on simple point-of-sale (POS) reporting, the industry is now turning to more sophisticated analytical tools especially in urban shopping areas driven by the demand to stabilize prices and enhance the effectiveness of promotions. New advancements include the implementation of pricing analytics to address inflation challenges, empowering retailers to assess price sensitivity and modify strategies in real time. Furthermore, studies on promotion effectiveness assist companies in understanding which marketing efforts appeal to cost-conscious customers, thus optimizing advertising expenditures and increasing conversion rates. The market is bolstered by a combination of regional analytics companies, which provide localized knowledge, and international vendors, who deliver scalable solutions. These entities allow retailers to combine data from POS systems, supplier chains, and promotional systems to generate practical insights for managing inventory and engaging customers. New prospects are arising in fields like inventory optimization, where predictive analytics aid in minimizing stock shortages and excess inventory, and personalized promotions that cater to Argentina’s price-sensitive shoppers. Adherence to local consumer protection regulations and privacy laws is a crucial facilitator of analytics utilization, minimizing legal issues and building trust in data-oriented practices. Retailers are more frequently investing in secure systems and accredited platforms to guarantee proper data management, especially as analytics grows to include loyalty programs and mobile commerce. As digital transformation progresses, Argentina’s retail industry is set to derive greater value from analytics.
Argentina's market for retail analytics by component is divided into Solutions and Services exhibits a distinct inclination towards pre-built solutions, especially among local supermarket chains and urban retail outlets aiming for swift modernization. These ready-to-use platforms provide crucial functionalities like pricing analysis, inventory management, and tracking of promotional effectiveness essential tools in a market influenced by inflation and changing consumer habits. Retailers appreciate the quickness and cost-effectiveness of these solutions, enabling them to implement analytics without the difficulties associated with developing custom systems from the ground up. Nevertheless, due to Argentina’s specific economic and cultural context, it remains challenging to fully cater to local needs with generic software. To fill this void, dedicated services and consulting firms are essential. Local analytics companies and implementation collaborators assist in customizing SaaS platforms to fit regional requirements by incorporating POS data, supplier inputs, and promotional calendars along with pricing models and consumer preferences tailored to Argentina. These services frequently encompass adjustments for language, alignment with regulatory standards, and elasticity modeling that mirrors the country’s economic fluctuations. For instance, consultants may modify algorithms to reflect regular price adjustments or typical regional buying patterns, ensuring that the outputs of analytics remain pertinent and useful. This mixed method merging ready-made tools with localized support has allowed retailers in Argentina to boost the use of analytics while keeping their operations relevant. It also aids broader objectives such as decreasing stock shortages, refining product assortments, and enhancing the return on investment for promotions. As cloud technology grows and data skills improve, the desire for comprehensive solutions accompanied by robust service is anticipated to rise. In this changing environment, analytics is evolving into a key facilitator, aiding retailers in managing complexities, addressing consumer demands, and fostering strength in a tough economic landscape.
Argentina’s retail analytics scene by functions is divided into Supply Chain Management, Customer Management, Inventory Management, Merchandising, Strategy & Planning and In-Store Operations, while still developing, is progressively adopting a wide array of practical applications that are transforming how businesses function and compete. Central to this is supply chain analytics, which assists national supermarket chains and urban retailers in predicting demand, managing supplier connections, and improving logistics an essential factor in a nation that frequently experiences macroeconomic fluctuations. Customer analytics is gaining momentum as businesses aim to grasp the behavior of cost-conscious shoppers, customize promotions, and enhance loyalty through focused engagement tactics. Inventory management sees advantages from forecasting models that adjust stock levels according to local demand trends, aiding retailers in minimizing stock shortages and excess while boosting turnover rates. This is crucial for handling perishable items and fast-selling consumer goods, where precision and timing directly influence profit margins. In merchandising, analytics aids in assortment planning and measuring promotional effectiveness, allowing retailers to customize product ranges and pricing strategies to fit local tastes and economic circumstances. From a strategic perspective, planning analytics equips retailers to make well-informed choices regarding store growth, staff distribution, and timing of promotions. These insights are particularly vital for dealing with inflationary challenges and variations in shopping habits across regions. At the same time, store performance analytics driven by point-of-sale information and supplier data enables retailers to track sales rates, return on investment from promotions, and operational efficiency at various locations. The uptake of these functions is bolstered by local analytics companies, specialized advisory services, and a rising interest in cloud solutions. As data understanding enhances and adherence to regional privacy and consumer protection regulations increases, Argentine retailers are increasingly perceiving analytics as not only a technical resource but also a strategic advantage.
Argentina’s retail analytics market by retail store is divided into Hypermarkets & Supermarkets and Retail Chains are increasingly utilizing analytics as part of a larger initiative to modernize, motivated by the necessity to handle economic fluctuations, enhance operational effectiveness, and cater to a cost-conscious consumer market. With the acceleration of digital transformation, retailers are embedding analytics in essential areas like inventory control, pricing tactics, and customer interaction. These analytical tools assist companies in stabilizing prices amid inflation, accurately predicting demand, and fine-tuning product selections across various regions. For supermarkets, analytics plays a crucial role in managing perishable goods, decreasing waste, and guaranteeing product availability in both city and suburban areas. Retail companies are also leveraging analytics to assess the success of promotions, monitor sales figures, and customize their offerings according to local tastes. By merging point-of-sale (POS) data with input from suppliers and marketing schedules, retailers can create elasticity models to inform pricing choices and enhance their profit margins. This is vital in Argentina's fast-moving retail landscape, where constant price changes and evolving consumer habits demand quick, data-driven reactions. The progress of analytics is aided by local consulting firms and technology partners who provide pre-built solutions that come with localization features. These companies assist retailers in combining analytics systems with their current infrastructure, adjusting algorithms to suit local market dynamics, and ensuring adherence to consumer protection and privacy laws. Cloud-based solutions are becoming favored for their flexibility and cost efficiency, which allows even medium-sized retailers to access advanced analytics without significant investments in infrastructure. As modernization progresses, analytics is evolving into a vital resource for retailers in Argentina not merely a technical enhancement, but a driving force for better decision-making and long-term growth.
In the retail analytics scene of Argentina by deployment is divided into On-Premise and Cloud, local systems continue to be the most common, particularly among established supermarket chains and regional retailers that have depended on local setups for handling point-of-sale (POS) information, stock management, and supplier connections. These systems provide a feeling of control, personalization, and familiarity, especially in a market where economic instability and complex regulations cause some retailers to hesitate in moving to external platforms. Local setups are often deeply ingrained in daily operations, making a quick transition to cloud-based options both technically and culturally difficult. Nonetheless, the use of cloud services is slowly rising, fueled by the demand for flexibility, immediate insights, and cost savings. Retailers in cities and those modernizing their operations are starting to adopt cloud-based analytical tools to consolidate information from multiple locations, enhance marketing effectiveness, and react more swiftly to customer preferences. Cloud options also enable advanced features like elasticity modeling, demand forecasting, and tailored marketing tasks that are hard to scale with older systems. The growth of affordable software-as-a-service (SaaS) products and mobile-focused platforms is making cloud analytics more reachable, even for medium-sized retailers. Local consulting firms and tech partners are crucial in this shift, providing mixed deployment plans that let retailers keep important processes on-site while using cloud resources for customer analysis, pricing improvements, and stock planning. Adhering to Argentina’s changing regulations on consumer protection and privacy is also motivating retailers to choose secure, cloud-compatible platforms that minimize legal risks and enhance data management. As modernization picks up speed, the equilibrium between local systems and cloud solutions is changing. Though traditional systems are still widespread, the push towards cloud services signifies a larger wish for agility, resilience, and better decision-making.
Considered in this report
• Historic Year: 2019
• Base year: 2024
• Estimated year: 2025
• Forecast year: 2030
Aspects covered in this report
• Retail Analytics Market with its value and forecast along with its segments
• Various drivers and challenges
• On-going trends and developments
• Top profiled companies
• Strategic recommendation
By Component
• Solutions
• Services
By Functions
• Supply Chain Management
• Customer Management
• Inventory Management
• Merchandising
• Strategy & Planning
• In-Store Operations
By Retail Store
• Hypermarkets & Supermarkets
• Retail Chains
By Deployment
• On-Premise
• Cloud
According to the research report, "" Argentina Retail Analytics Market Overview, 2030,"" published by Bonafide Research, the Argentina Retail Analytics market was valued at USD 70 Million in 2024. Argentina's retail analytics industry, although still modest in size, is progressively growing as leading retailers upgrade their operations in response to economic changes and evolving consumer preferences. Traditionally dependent on simple point-of-sale (POS) reporting, the industry is now turning to more sophisticated analytical tools especially in urban shopping areas driven by the demand to stabilize prices and enhance the effectiveness of promotions. New advancements include the implementation of pricing analytics to address inflation challenges, empowering retailers to assess price sensitivity and modify strategies in real time. Furthermore, studies on promotion effectiveness assist companies in understanding which marketing efforts appeal to cost-conscious customers, thus optimizing advertising expenditures and increasing conversion rates. The market is bolstered by a combination of regional analytics companies, which provide localized knowledge, and international vendors, who deliver scalable solutions. These entities allow retailers to combine data from POS systems, supplier chains, and promotional systems to generate practical insights for managing inventory and engaging customers. New prospects are arising in fields like inventory optimization, where predictive analytics aid in minimizing stock shortages and excess inventory, and personalized promotions that cater to Argentina’s price-sensitive shoppers. Adherence to local consumer protection regulations and privacy laws is a crucial facilitator of analytics utilization, minimizing legal issues and building trust in data-oriented practices. Retailers are more frequently investing in secure systems and accredited platforms to guarantee proper data management, especially as analytics grows to include loyalty programs and mobile commerce. As digital transformation progresses, Argentina’s retail industry is set to derive greater value from analytics.
Argentina's market for retail analytics by component is divided into Solutions and Services exhibits a distinct inclination towards pre-built solutions, especially among local supermarket chains and urban retail outlets aiming for swift modernization. These ready-to-use platforms provide crucial functionalities like pricing analysis, inventory management, and tracking of promotional effectiveness essential tools in a market influenced by inflation and changing consumer habits. Retailers appreciate the quickness and cost-effectiveness of these solutions, enabling them to implement analytics without the difficulties associated with developing custom systems from the ground up. Nevertheless, due to Argentina’s specific economic and cultural context, it remains challenging to fully cater to local needs with generic software. To fill this void, dedicated services and consulting firms are essential. Local analytics companies and implementation collaborators assist in customizing SaaS platforms to fit regional requirements by incorporating POS data, supplier inputs, and promotional calendars along with pricing models and consumer preferences tailored to Argentina. These services frequently encompass adjustments for language, alignment with regulatory standards, and elasticity modeling that mirrors the country’s economic fluctuations. For instance, consultants may modify algorithms to reflect regular price adjustments or typical regional buying patterns, ensuring that the outputs of analytics remain pertinent and useful. This mixed method merging ready-made tools with localized support has allowed retailers in Argentina to boost the use of analytics while keeping their operations relevant. It also aids broader objectives such as decreasing stock shortages, refining product assortments, and enhancing the return on investment for promotions. As cloud technology grows and data skills improve, the desire for comprehensive solutions accompanied by robust service is anticipated to rise. In this changing environment, analytics is evolving into a key facilitator, aiding retailers in managing complexities, addressing consumer demands, and fostering strength in a tough economic landscape.
Argentina’s retail analytics scene by functions is divided into Supply Chain Management, Customer Management, Inventory Management, Merchandising, Strategy & Planning and In-Store Operations, while still developing, is progressively adopting a wide array of practical applications that are transforming how businesses function and compete. Central to this is supply chain analytics, which assists national supermarket chains and urban retailers in predicting demand, managing supplier connections, and improving logistics an essential factor in a nation that frequently experiences macroeconomic fluctuations. Customer analytics is gaining momentum as businesses aim to grasp the behavior of cost-conscious shoppers, customize promotions, and enhance loyalty through focused engagement tactics. Inventory management sees advantages from forecasting models that adjust stock levels according to local demand trends, aiding retailers in minimizing stock shortages and excess while boosting turnover rates. This is crucial for handling perishable items and fast-selling consumer goods, where precision and timing directly influence profit margins. In merchandising, analytics aids in assortment planning and measuring promotional effectiveness, allowing retailers to customize product ranges and pricing strategies to fit local tastes and economic circumstances. From a strategic perspective, planning analytics equips retailers to make well-informed choices regarding store growth, staff distribution, and timing of promotions. These insights are particularly vital for dealing with inflationary challenges and variations in shopping habits across regions. At the same time, store performance analytics driven by point-of-sale information and supplier data enables retailers to track sales rates, return on investment from promotions, and operational efficiency at various locations. The uptake of these functions is bolstered by local analytics companies, specialized advisory services, and a rising interest in cloud solutions. As data understanding enhances and adherence to regional privacy and consumer protection regulations increases, Argentine retailers are increasingly perceiving analytics as not only a technical resource but also a strategic advantage.
Argentina’s retail analytics market by retail store is divided into Hypermarkets & Supermarkets and Retail Chains are increasingly utilizing analytics as part of a larger initiative to modernize, motivated by the necessity to handle economic fluctuations, enhance operational effectiveness, and cater to a cost-conscious consumer market. With the acceleration of digital transformation, retailers are embedding analytics in essential areas like inventory control, pricing tactics, and customer interaction. These analytical tools assist companies in stabilizing prices amid inflation, accurately predicting demand, and fine-tuning product selections across various regions. For supermarkets, analytics plays a crucial role in managing perishable goods, decreasing waste, and guaranteeing product availability in both city and suburban areas. Retail companies are also leveraging analytics to assess the success of promotions, monitor sales figures, and customize their offerings according to local tastes. By merging point-of-sale (POS) data with input from suppliers and marketing schedules, retailers can create elasticity models to inform pricing choices and enhance their profit margins. This is vital in Argentina's fast-moving retail landscape, where constant price changes and evolving consumer habits demand quick, data-driven reactions. The progress of analytics is aided by local consulting firms and technology partners who provide pre-built solutions that come with localization features. These companies assist retailers in combining analytics systems with their current infrastructure, adjusting algorithms to suit local market dynamics, and ensuring adherence to consumer protection and privacy laws. Cloud-based solutions are becoming favored for their flexibility and cost efficiency, which allows even medium-sized retailers to access advanced analytics without significant investments in infrastructure. As modernization progresses, analytics is evolving into a vital resource for retailers in Argentina not merely a technical enhancement, but a driving force for better decision-making and long-term growth.
In the retail analytics scene of Argentina by deployment is divided into On-Premise and Cloud, local systems continue to be the most common, particularly among established supermarket chains and regional retailers that have depended on local setups for handling point-of-sale (POS) information, stock management, and supplier connections. These systems provide a feeling of control, personalization, and familiarity, especially in a market where economic instability and complex regulations cause some retailers to hesitate in moving to external platforms. Local setups are often deeply ingrained in daily operations, making a quick transition to cloud-based options both technically and culturally difficult. Nonetheless, the use of cloud services is slowly rising, fueled by the demand for flexibility, immediate insights, and cost savings. Retailers in cities and those modernizing their operations are starting to adopt cloud-based analytical tools to consolidate information from multiple locations, enhance marketing effectiveness, and react more swiftly to customer preferences. Cloud options also enable advanced features like elasticity modeling, demand forecasting, and tailored marketing tasks that are hard to scale with older systems. The growth of affordable software-as-a-service (SaaS) products and mobile-focused platforms is making cloud analytics more reachable, even for medium-sized retailers. Local consulting firms and tech partners are crucial in this shift, providing mixed deployment plans that let retailers keep important processes on-site while using cloud resources for customer analysis, pricing improvements, and stock planning. Adhering to Argentina’s changing regulations on consumer protection and privacy is also motivating retailers to choose secure, cloud-compatible platforms that minimize legal risks and enhance data management. As modernization picks up speed, the equilibrium between local systems and cloud solutions is changing. Though traditional systems are still widespread, the push towards cloud services signifies a larger wish for agility, resilience, and better decision-making.
Considered in this report
• Historic Year: 2019
• Base year: 2024
• Estimated year: 2025
• Forecast year: 2030
Aspects covered in this report
• Retail Analytics Market with its value and forecast along with its segments
• Various drivers and challenges
• On-going trends and developments
• Top profiled companies
• Strategic recommendation
By Component
• Solutions
• Services
By Functions
• Supply Chain Management
• Customer Management
• Inventory Management
• Merchandising
• Strategy & Planning
• In-Store Operations
By Retail Store
• Hypermarkets & Supermarkets
• Retail Chains
By Deployment
• On-Premise
• Cloud
Table of Contents
78 Pages
- 1. Executive Summary
- 2. Market Structure
- 2.1. Market Considerate
- 2.2. Assumptions
- 2.3. Limitations
- 2.4. Abbreviations
- 2.5. Sources
- 2.6. Definitions
- 3. Research Methodology
- 3.1. Secondary Research
- 3.2. Primary Data Collection
- 3.3. Market Formation & Validation
- 3.4. Report Writing, Quality Check & Delivery
- 4. Argentina Geography
- 4.1. Population Distribution Table
- 4.2. Argentina Macro Economic Indicators
- 5. Market Dynamics
- 5.1. Key Insights
- 5.2. Recent Developments
- 5.3. Market Drivers & Opportunities
- 5.4. Market Restraints & Challenges
- 5.5. Market Trends
- 5.6. Supply chain Analysis
- 5.7. Policy & Regulatory Framework
- 5.8. Industry Experts Views
- 6. Argentina Retail Analytics Market Overview
- 6.1. Market Size By Value
- 6.2. Market Size and Forecast, By Component
- 6.3. Market Size and Forecast, By Functions
- 6.4. Market Size and Forecast, By Retail Store
- 6.5. Market Size and Forecast, By Deployment
- 6.6. Market Size and Forecast, By Region
- 7. Argentina Retail Analytics Market Segmentations
- 7.1. Argentina Retail Analytics Market, By Component
- 7.1.1. Argentina Retail Analytics Market Size, By Solutions, 2019-2030
- 7.1.2. Argentina Retail Analytics Market Size, By Services, 2019-2030
- 7.2. Argentina Retail Analytics Market, By Functions
- 7.2.1. Argentina Retail Analytics Market Size, By Supply Chain Management, 2019-2030
- 7.2.2. Argentina Retail Analytics Market Size, By Customer Management, 2019-2030
- 7.2.3. Argentina Retail Analytics Market Size, By Inventory Management, 2019-2030
- 7.2.4. Argentina Retail Analytics Market Size, By Merchandising, 2019-2030
- 7.2.5. Argentina Retail Analytics Market Size, By Strategy & Planning, 2019-2030
- 7.2.6. Argentina Retail Analytics Market Size, By In-Store Operations, 2019-2030
- 7.3. Argentina Retail Analytics Market, By Retail Store
- 7.3.1. Argentina Retail Analytics Market Size, By Hypermarkets & Supermarkets, 2019-2030
- 7.3.2. Argentina Retail Analytics Market Size, By Retail Chains, 2019-2030
- 7.4. Argentina Retail Analytics Market, By Deployment
- 7.4.1. Argentina Retail Analytics Market Size, By On-Premise, 2019-2030
- 7.4.2. Argentina Retail Analytics Market Size, By Cloud, 2019-2030
- 7.5. Argentina Retail Analytics Market, By Region
- 7.5.1. Argentina Retail Analytics Market Size, By North, 2019-2030
- 7.5.2. Argentina Retail Analytics Market Size, By East, 2019-2030
- 7.5.3. Argentina Retail Analytics Market Size, By West, 2019-2030
- 7.5.4. Argentina Retail Analytics Market Size, By South, 2019-2030
- 8. Argentina Retail Analytics Market Opportunity Assessment
- 8.1. By Component, 2025 to 2030
- 8.2. By Functions, 2025 to 2030
- 8.3. By Retail Store, 2025 to 2030
- 8.4. By Deployment, 2025 to 2030
- 8.5. By Region, 2025 to 2030
- 9. Competitive Landscape
- 9.1. Porter's Five Forces
- 9.2. Company Profile
- 9.2.1. Company 1
- 9.2.1.1. Company Snapshot
- 9.2.1.2. Company Overview
- 9.2.1.3. Financial Highlights
- 9.2.1.4. Geographic Insights
- 9.2.1.5. Business Segment & Performance
- 9.2.1.6. Product Portfolio
- 9.2.1.7. Key Executives
- 9.2.1.8. Strategic Moves & Developments
- 9.2.2. Company 2
- 9.2.3. Company 3
- 9.2.4. Company 4
- 9.2.5. Company 5
- 9.2.6. Company 6
- 9.2.7. Company 7
- 9.2.8. Company 8
- 10. Strategic Recommendations
- 11. Disclaimer
- List of Figures
- Figure 1: Argentina Retail Analytics Market Size By Value (2019, 2024 & 2030F) (in USD Million)
- Figure 2: Market Attractiveness Index, By Component
- Figure 3: Market Attractiveness Index, By Functions
- Figure 4: Market Attractiveness Index, By Retail Store
- Figure 5: Market Attractiveness Index, By Deployment
- Figure 6: Market Attractiveness Index, By Region
- Figure 7: Porter's Five Forces of Argentina Retail Analytics Market
- List of Tables
- Table 1: Influencing Factors for Retail Analytics Market, 2024
- Table 2: Argentina Retail Analytics Market Size and Forecast, By Component (2019 to 2030F) (In USD Million)
- Table 3: Argentina Retail Analytics Market Size and Forecast, By Functions (2019 to 2030F) (In USD Million)
- Table 4: Argentina Retail Analytics Market Size and Forecast, By Retail Store (2019 to 2030F) (In USD Million)
- Table 5: Argentina Retail Analytics Market Size and Forecast, By Deployment (2019 to 2030F) (In USD Million)
- Table 6: Argentina Retail Analytics Market Size and Forecast, By Region (2019 to 2030F) (In USD Million)
- Table 7: Argentina Retail Analytics Market Size of Solutions (2019 to 2030) in USD Million
- Table 8: Argentina Retail Analytics Market Size of Services (2019 to 2030) in USD Million
- Table 9: Argentina Retail Analytics Market Size of Supply Chain Management (2019 to 2030) in USD Million
- Table 10: Argentina Retail Analytics Market Size of Customer Management (2019 to 2030) in USD Million
- Table 11: Argentina Retail Analytics Market Size of Inventory Management (2019 to 2030) in USD Million
- Table 12: Argentina Retail Analytics Market Size of Merchandising (2019 to 2030) in USD Million
- Table 13: Argentina Retail Analytics Market Size of Strategy & Planning (2019 to 2030) in USD Million
- Table 14: Argentina Retail Analytics Market Size of In-Store Operations (2019 to 2030) in USD Million
- Table 15: Argentina Retail Analytics Market Size of Hypermarkets & Supermarkets (2019 to 2030) in USD Million
- Table 16: Argentina Retail Analytics Market Size of Retail Chains (2019 to 2030) in USD Million
- Table 17: Argentina Retail Analytics Market Size of On-Premise (2019 to 2030) in USD Million
- Table 18: Argentina Retail Analytics Market Size of Cloud (2019 to 2030) in USD Million
- Table 19: Argentina Retail Analytics Market Size of North (2019 to 2030) in USD Million
- Table 20: Argentina Retail Analytics Market Size of East (2019 to 2030) in USD Million
- Table 21: Argentina Retail Analytics Market Size of West (2019 to 2030) in USD Million
- Table 22: Argentina Retail Analytics Market Size of South (2019 to 2030) in USD Million
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