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South America Applied AI in Retail E Commerce Market

ID: MRFR/ICT/57108-HCR
200 Pages
Aarti Dhapte
October 2025

South America Applied AI in Retail E-Commerce Market Research Report By Technology (Machine Learning, Natural Language Processing, Computer Vision, Speech Recognition, Predictive Analytics), By Application (Customer Service & Support, Sales & Marketing, Supply Chain Management, Price Optimization, Payment Processing, Product Search & Discovery), By Deployment (On-Premise, Cloud-Based), By End-User (Retailers, E-commerce Platforms, Consumer Goods Manufacturers, Logistics & Supply Chain Companies) and By Regiona... read more

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South America Applied AI in Retail E Commerce Market Summary

As per MRFR analysis, the South America applied AI in retail e-commerce market size was estimated at 4480.0 USD Million in 2024. The South America applied ai-in-retail-e-commerce market is projected to grow from 4754.62 USD Million in 2025 to 8620.0 USD Million by 2035, exhibiting a compound annual growth rate (CAGR) of 6.13% during the forecast period 2025 - 2035.

Key Market Trends & Highlights

The South America applied AI-in-retail-e-commerce market is experiencing robust growth driven by technological advancements and changing consumer behaviors.

  • Personalization through AI is becoming increasingly prevalent in Brazil's retail sector, enhancing customer engagement.
  • AI-driven inventory management solutions are gaining traction in Mexico, optimizing supply chain efficiency and reducing costs.
  • Mobile commerce enhancement is a key focus area, with retailers leveraging AI to improve user experiences and drive sales.
  • Rising internet penetration and evolving consumer expectations are major drivers propelling the market forward.

Market Size & Forecast

2024 Market Size 4480.0 (USD Million)
2035 Market Size 8620.0 (USD Million)

Major Players

Amazon (US), Alibaba (CN), Walmart (US), eBay (US), JD.com (CN), Target (US), Shopify (CA), Zalando (DE), Rakuten (JP)

South America Applied AI in Retail E Commerce Market Trends

The applied ai-in-retail-e-commerce market in South America is currently experiencing a transformative phase, driven by advancements in technology and changing consumer behaviors. Retailers are increasingly adopting artificial intelligence to enhance customer experiences, streamline operations, and optimize supply chains. This shift appears to be influenced by the growing demand for personalized shopping experiences, as consumers seek tailored recommendations and efficient service. Furthermore, the integration of AI tools in inventory management and logistics is likely to improve operational efficiency, thereby reducing costs and increasing profitability for businesses in the region. In addition, the rise of mobile commerce in South America is propelling the applied ai-in-retail-e-commerce market forward. As smartphone penetration continues to grow, retailers are leveraging AI to create seamless mobile shopping experiences. This trend suggests that businesses are not only focusing on traditional e-commerce platforms but are also investing in mobile applications that utilize AI for enhanced user engagement. Overall, the applied ai-in-retail-e-commerce market in South America is poised for significant growth, driven by technological innovation and evolving consumer expectations.

Personalization through AI

Retailers are increasingly utilizing AI to deliver personalized shopping experiences. By analyzing consumer data, businesses can offer tailored recommendations, enhancing customer satisfaction and loyalty.

AI-Driven Inventory Management

The application of AI in inventory management is becoming more prevalent. Retailers are employing AI algorithms to predict demand, optimize stock levels, and reduce waste, leading to improved operational efficiency.

Mobile Commerce Enhancement

As mobile commerce gains traction, retailers are integrating AI into their mobile platforms. This integration aims to create more engaging and user-friendly shopping experiences, catering to the preferences of tech-savvy consumers.

South America Applied AI in Retail E Commerce Market Drivers

Competitive Market Dynamics

The competitive landscape in South America is intensifying, prompting retailers to adopt innovative strategies to differentiate themselves. This dynamic is a significant driver for the applied ai-in-retail-e-commerce market. As new entrants and established players vie for market share, the integration of AI technologies becomes essential for maintaining a competitive advantage. Retailers are increasingly utilizing AI for predictive analytics, enabling them to anticipate market trends and consumer preferences. This proactive approach not only enhances operational efficiency but also improves customer satisfaction. Reports suggest that companies leveraging AI in their operations can achieve up to 30% higher sales growth compared to those that do not. Thus, the competitive pressures within the retail sector are likely to propel further investment in AI solutions, fostering growth in the applied ai-in-retail-e-commerce market.

Rising Internet Penetration

The increasing accessibility of the internet across South America is a pivotal driver for the applied ai-in-retail-e-commerce market. As of 2025, internet penetration in the region has reached approximately 75%, facilitating a surge in online shopping behaviors. This connectivity enables retailers to leverage AI technologies to enhance customer experiences, optimize supply chains, and personalize marketing strategies. The growing number of internet users, particularly among younger demographics, suggests a shift towards digital platforms, where AI can play a crucial role in analyzing consumer data and preferences. Consequently, businesses that adopt AI solutions are likely to gain a competitive edge, as they can respond more effectively to market demands and consumer trends, thereby driving growth in the applied ai-in-retail-e-commerce market.

Evolving Consumer Expectations

Consumer expectations in South America are rapidly evolving, with a marked preference for personalized and efficient shopping experiences. This shift is significantly influencing the applied ai-in-retail-e-commerce market. As consumers increasingly demand tailored recommendations and seamless interactions, retailers are compelled to integrate AI technologies to meet these expectations. For instance, AI-driven chatbots and virtual assistants are becoming commonplace, providing real-time support and enhancing customer engagement. Moreover, studies indicate that 60% of consumers are more likely to shop with brands that offer personalized experiences. This trend underscores the necessity for retailers to invest in AI solutions that can analyze consumer behavior and preferences, ultimately fostering loyalty and driving sales in the applied ai-in-retail-e-commerce market.

Investment in Technology Infrastructure

The commitment to enhancing technology infrastructure is a crucial driver for the applied ai-in-retail-e-commerce market in South America. Retailers are increasingly recognizing the importance of robust IT systems to support AI applications. Investments in cloud computing, data analytics, and machine learning capabilities are on the rise, with projections indicating a growth of 20% in technology spending by 2026. This investment enables retailers to harness vast amounts of data, facilitating better decision-making and operational efficiency. Furthermore, improved infrastructure allows for the integration of AI tools that can streamline inventory management, optimize pricing strategies, and enhance customer service. As a result, the applied ai-in-retail-e-commerce market is likely to experience accelerated growth driven by these technological advancements.

Regulatory Support for Digital Transformation

Regulatory frameworks in South America are increasingly supportive of digital transformation initiatives, which serves as a key driver for the applied ai-in-retail-e-commerce market. Governments are implementing policies that encourage the adoption of digital technologies, including AI, to enhance economic growth and competitiveness. For instance, initiatives aimed at improving data protection and cybersecurity are fostering consumer trust in online transactions. Additionally, funding programs and incentives for technology adoption are becoming more prevalent, with estimates suggesting that public investment in digital infrastructure could reach $5 billion by 2027. This supportive regulatory environment not only facilitates the integration of AI technologies in retail but also encourages innovation, ultimately driving the growth of the applied ai-in-retail-e-commerce market.

Market Segment Insights

By Technology: Machine Learning (Largest) vs. Natural Language Processing (Fastest-Growing)

In the South America applied ai-in-retail-e-commerce market, Machine Learning holds the largest share as it transforms retail operations by enabling data-driven decision-making and enhancing customer personalization. Following closely, Natural Language Processing (NLP) is rapidly gaining traction, particularly in customer service applications, allowing retailers to offer improved interaction through chatbots and virtual assistants. The market dynamics are strongly influenced by the growing demand for automation and efficient data analytics across various retail sectors. Additionally, the growth trends within this segment indicate a robust expansion driven by technological advancements and increased investment in AI initiatives. The rising consumer expectations for enhanced shopping experiences foster the demand for AI solutions, making NLP a crucial factor in digital transformation strategies. Other technologies such as Computer Vision and Speech Recognition are also witnessing significant attention, supporting retailers in inventory management and voice-activated services.

Technology: Machine Learning (Dominant) vs. Natural Language Processing (Emerging)

Machine Learning is dominating the South America applied ai-in-retail-e-commerce market due to its capability to analyze vast amounts of data, optimize supply chains, and improve customer engagement through predictive analytics. Its applications span personalized recommendations and inventory management, marking it as a critical enabler of operational efficiency. On the other hand, Natural Language Processing is emerging as a powerful technology enabling retailers to streamline customer interactions through AI-driven chatbots and voice search functionalities. This technology is becoming essential for bridging language barriers and enhancing user experiences, demonstrating significant growth potential in the market as more retailers seek to adopt AI for improved customer communication.

By Application: Customer Service & Support (Largest) vs. Sales & Marketing (Fastest-Growing)

In the applied ai-in-retail-e-commerce market, the distribution of market share among key application segments reveals significant insights. Customer Service & Support leads the sector, attracting a substantial portion of investment and implementation due to its essential role in enhancing customer experience and retention. Following closely, Sales & Marketing is gaining traction, capitalizing on trends such as personalized marketing and targeted advertising, which are reshaping how brands connect with consumers. The growth trends within these segments illustrate a dynamic market driven by technological advancements and evolving consumer behaviors. The rise in online shopping and demand for superior customer experiences are key drivers affecting both Customer Service & Support and Sales & Marketing. Innovations like chatbots and automated customer service tools are streamlining operations, while data analytics enhances marketing strategies, making these segments vital for sustained growth and competitive advantage.

Customer Service & Support (Dominant) vs. Sales & Marketing (Emerging)

Customer Service & Support stands out as the dominant application, leveraging AI technologies to enhance customer interactions through automation and personalized responses. This segment's maturity reflects its integration into essential retail functions, improving efficiency and satisfaction. Conversely, Sales & Marketing is emerging rapidly, driven by the necessity for brands to adapt to online retail dynamics. Innovations like AI-driven customer insights and targeted campaigns enable retailers to refine their approach. While Customer Service & Support focuses on retention and service quality, Sales & Marketing emphasizes acquisition and engagement, showcasing the distinct yet complementary roles these applications play in shaping the retail landscape.

By Deployment Mode: Cloud-based (Largest) vs. On-premise (Fastest-Growing)

In the South America applied ai-in-retail-e-commerce market, the deployment mode segment is prominently dominated by cloud-based solutions, capturing a significant share due to their scalability and flexibility. This model allows retailers to access advanced AI technologies without the heavy upfront investments associated with on-premise alternatives. However, on-premise deployment is witnessing an impressive growth rate as businesses prioritize data security and control, leading to a resurgence in its adoption among certain retailers. The growth trends in the deployment mode segment reveal a dual trajectory, with cloud-based solutions continuously attracting a larger customer base while on-premise setups emerge as the fastest-growing option. Factors such as increasing internet penetration, improved cloud infrastructure, and a growing emphasis on data compliance are propelling cloud adoption in retail. Conversely, the desire for enhanced data sovereignty and reduced latency is driving the resurgence of on-premise solutions, which cater to specific industry needs.

Cloud-based: Dominant vs. On-premise: Emerging

Cloud-based deployment has established itself as the dominant choice among retailers in South America, providing robust solutions that enhance operational efficiency and customer engagement. These systems are characterized by ease of access, lower maintenance costs, and the ability to leverage the latest AI advancements in real-time. In contrast, on-premise deployment is emerging as a strategically important option, gaining traction among companies with stringent security requirements and those reluctant to rely on external infrastructures. This segment typically involves higher upfront investments but offers enhanced data control and customization to meet specific business needs, appealing particularly to established retailers with complex operational structures.

By End User: Retailers (Largest) vs. E-commerce Platforms (Fastest-Growing)

In the applied ai-in-retail-e-commerce market, the end user segment is notably diverse. Retailers hold the largest share of the market, leveraging AI to enhance in-store experiences and optimize inventory management. In contrast, e-commerce platforms are witnessing rapid growth, driven by increasing online shopping trends and a shift towards digital retail solutions. Growth in this segment is primarily fueled by the rising adoption of AI technologies across various end users. Retailers are investing heavily in artificial intelligence to streamline operations and improve customer engagement. Meanwhile, e-commerce platforms are increasingly incorporating AI-driven tools to personalize shopping experiences and enhance logistics efficiencies, contributing to their status as the fastest-growing segment in the market.

Retailers (Dominant) vs. E-commerce Platforms (Emerging)

Retailers stand as the dominant players within the end user segment, utilizing advanced AI technologies to refine customer experiences and boost operational efficiencies. Their reliance on AI helps in demand forecasting, personalized marketing, and enhancing the overall shopping journey. Conversely, e-commerce platforms represent an emerging and dynamic sector, rapidly evolving to meet consumer demands. They are adopting AI to improve customer interactions, implement predictive analytics, and streamline supply chain processes, reflecting their potential for significant growth. As these platforms optimize their offerings through innovative AI solutions, they are set to capture an increasing share of the market.

Get more detailed insights about South America Applied AI in Retail E Commerce Market

Regional Insights

The South America Applied AI in Retail E-Commerce Market showcases significant growth potential across various regions, with Brazil, Mexico, Argentina, and the Rest of South America each contributing uniquely to the overall landscape. Brazil stands out as a dominant player due to its vast consumer base and increasing adoption of technology, making it a focal point for investments in applied AI solutions. 

Mexico follows closely, driven by a rapidly expanding e-commerce sector and a growing middle class that is increasingly engaging with online retail.Argentina also plays an essential role, reflective of its evolving digital economy and strong internet penetration rates, which bolster the acceptance of AI-driven retail strategies. The Rest of South America displays a diverse market, with several countries recognizing the benefits of applied AI in enhancing retail operations and customer experience. 

Overall, the regional segment is characterized by innovative approaches to problem-solving and efficient market strategies, positioning these nations as attractive opportunities for stakeholders in the retail e-commerce space.The market dynamics are influenced by various trends, including the increasing demand for personalized shopping experiences, cost optimization through AI integration, and the changing consumer behavior across different countries, leading to a collaborative future in the South America Applied AI in Retail E-Commerce Market.

South America Applied AI in Retail E-Commerce Market Region

South America Applied AI in Retail E Commerce Market Regional Image

Key Players and Competitive Insights

The applied ai-in-retail-e-commerce market in South America is characterized by a dynamic competitive landscape, driven by rapid technological advancements and evolving consumer preferences. Major players such as Amazon (US), Alibaba (CN), and Walmart (US) are at the forefront, each adopting distinct strategies to enhance their market presence. Amazon (US) continues to innovate through its AI-driven recommendation systems, which personalize shopping experiences, while Alibaba (CN) focuses on expanding its logistics capabilities to improve delivery efficiency. Walmart (US) emphasizes its omnichannel strategy, integrating online and offline shopping experiences to cater to diverse consumer needs. Collectively, these strategies not only enhance customer engagement but also intensify competition within the market.

Key business tactics employed by these companies include localizing supply chains and optimizing logistics networks to reduce operational costs and improve service delivery. The market structure appears moderately fragmented, with a mix of established giants and emerging players vying for market share. This competitive environment is shaped by the collective influence of key players, who leverage their technological capabilities to gain a competitive edge.

In October 2025, Amazon (US) announced the launch of its AI-powered virtual shopping assistant, designed to enhance customer interaction and streamline the purchasing process. This strategic move is likely to bolster Amazon's position in the market by providing a more personalized shopping experience, thereby increasing customer loyalty and retention. The introduction of such innovative solutions underscores Amazon's commitment to leveraging AI technology to meet evolving consumer demands.

In September 2025, Alibaba (CN) unveiled its new AI-driven supply chain management system, aimed at optimizing inventory levels and reducing delivery times across South America. This initiative is significant as it not only enhances operational efficiency but also positions Alibaba as a leader in logistics innovation within the region. By improving supply chain responsiveness, Alibaba is likely to attract more retailers seeking to enhance their operational capabilities.

In August 2025, Walmart (US) expanded its partnership with local delivery services to enhance its last-mile delivery capabilities. This strategic action reflects Walmart's focus on improving customer satisfaction through faster delivery options. By integrating local delivery services, Walmart is likely to strengthen its competitive position against rivals, particularly in urban areas where demand for quick delivery is high.

As of November 2025, current trends in the applied ai-in-retail-e-commerce market include a pronounced shift towards digitalization, sustainability, and the integration of AI technologies. Strategic alliances among key players are increasingly shaping the competitive landscape, fostering innovation and enhancing operational efficiencies. Looking ahead, competitive differentiation is expected to evolve, with a greater emphasis on technological innovation and supply chain reliability rather than solely on price. This shift indicates a transformative phase in the market, where companies that prioritize innovation and customer-centric solutions are likely to thrive.

Key Companies in the South America Applied AI in Retail E Commerce Market market include

Industry Developments

Recent developments in the South America Applied AI in Retail E-Commerce Market have seen significant growth driven by key players such as Magazine Luiza, MercadoLibre, and Amazon. In September 2023, Magazine Luiza enhanced its e-commerce operations by implementing AI-driven inventory management systems aimed at streamlining supply chain processes and improving customer experiences.

In August 2023, MercadoLibre announced an expansion of its AI capabilities to enhance personalization in user experiences, reflecting trends toward hyper-targeted marketing. Meanwhile, in July 2023, CI&T acquired a local startup focused on AI solutions for retail, strengthening its portfolio and service offerings. The market witnessed a valuation increase, attributed to growing investments in technology and digital transformation by brands like B2W Digital and Linio, which aims to cater to the increasingly tech-savvy consumer base in Brazil and other South American countries. Notably, C6 Bank has integrated AI to optimize its financial services for e-commerce merchants.

Over the last two years, there has been a notable shift toward AI integration across the region, evidenced by increased capital flow into AI initiatives, significantly impacting retail dynamics in the Latin American landscape.

Future Outlook

South America Applied AI in Retail E Commerce Market Future Outlook

The applied ai-in-retail-e-commerce market is projected to grow at a 6.13% CAGR from 2024 to 2035, driven by enhanced customer personalization, operational efficiency, and data analytics advancements.

New opportunities lie in:

  • Integration of AI-driven chatbots for 24/7 customer support
  • Development of predictive analytics tools for inventory management
  • Implementation of personalized marketing automation systems

By 2035, the market is expected to achieve substantial growth, driven by innovative AI applications.

Market Segmentation

South America Applied AI in Retail E Commerce Market End User Outlook

  • Retailers
  • E-commerce Platforms
  • Consumer Goods Manufacturers
  • Logistics & Supply Chain Companies
  • Others

South America Applied AI in Retail E Commerce Market Technology Outlook

  • Machine Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Speech Recognition
  • Predictive Analytics

South America Applied AI in Retail E Commerce Market Application Outlook

  • Customer Service & Support
  • Sales & Marketing
  • Supply Chain Management
  • Price Optimization
  • Payment Processing
  • Product Search & Discovery

South America Applied AI in Retail E Commerce Market Deployment Mode Outlook

  • On-premise
  • Cloud-based

Report Scope

MARKET SIZE 20244480.0(USD Million)
MARKET SIZE 20254754.62(USD Million)
MARKET SIZE 20358620.0(USD Million)
COMPOUND ANNUAL GROWTH RATE (CAGR)6.13% (2024 - 2035)
REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
BASE YEAR2024
Market Forecast Period2025 - 2035
Historical Data2019 - 2024
Market Forecast UnitsUSD Million
Key Companies Profiled["Amazon (US)", "Alibaba (CN)", "Walmart (US)", "eBay (US)", "JD.com (CN)", "Target (US)", "Shopify (CA)", "Zalando (DE)", "Rakuten (JP)"]
Segments CoveredTechnology, Application, Deployment Mode, End User
Key Market OpportunitiesIntegration of advanced analytics to enhance personalized shopping experiences in the applied ai-in-retail-e-commerce market.
Key Market DynamicsRapid technological advancements drive competitive dynamics in South America's applied AI in retail e-commerce market.
Countries CoveredBrazil, Mexico, Argentina, Rest of South America

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FAQs

What is the expected market size of the South America Applied AI in Retail E-Commerce Market in 2024?

The South America Applied AI in Retail E-Commerce Market is expected to be valued at 4.41 USD Billion in 2024.

What will be the market size of the South America Applied AI in Retail E-Commerce Market in 2035?

The market is projected to reach 86.25 USD Billion by the year 2035.

What is the expected CAGR for the South America Applied AI in Retail E-Commerce Market from 2025 to 2035?

The market is expected to grow at a CAGR of 31.037% from 2025 to 2035.

Which region holds the largest market share in the South America Applied AI in Retail E-Commerce Market?

Brazil holds the largest market share, with an expected valuation of 1.50 USD Billion in 2024.

What will be the market value of the South America Applied AI in Retail E-Commerce Market in Mexico by 2035?

The market value in Mexico is projected to reach 25.0 USD Billion by 2035.

What are key players in the South America Applied AI in Retail E-Commerce Market?

Major players include MercadoLibre, Amazon, Magazine Luiza, and B2W Digital.

What will be the market value for Machine Learning in the South America Applied AI in Retail E-Commerce Market in 2035?

The Machine Learning segment is expected to be valued at 22.0 USD Billion in 2035.

How much is the Predictive Analytics segment expected to be worth by 2035?

The Predictive Analytics segment is projected to reach 14.0 USD Billion by 2035.

What is the expected market value for Argentina in the South America Applied AI in Retail E-Commerce Market in 2024?

Argentina's market value is expected to be 0.8 USD Billion in 2024.

What growth opportunities are emerging in the South America Applied AI in Retail E-Commerce Market?

Emerging trends include advancements in machine learning, predictive analytics, and customer personalization.

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