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GCC Applied AI in Retail E Commerce Market

ID: MRFR/ICT/57107-HCR
200 Pages
Aarti Dhapte
October 2025

GCC 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) and By End-User (Retailers, E-commerce Platforms, Consumer Goods Manufacturers, Logistics & Supply Chain Companies)- Forecast to 2035

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GCC Applied AI in Retail E Commerce Market Summary

As per MRFR analysis, the GCC applied ai-in-retail-e-commerce market size was estimated at 895.1 USD Million in 2024. The GCC applied ai-in-retail-e-commerce market is projected to grow from 1171.33 USD Million in 2025 to 17250.5 USD Million by 2035, exhibiting a compound annual growth rate (CAGR) of 30.86% during the forecast period 2025 - 2035.

Key Market Trends & Highlights

The GCC applied AI-in-retail-e-commerce market is experiencing robust growth driven by technological advancements and evolving consumer preferences.

  • Personalization through AI is becoming a cornerstone of customer engagement strategies in the GCC retail sector.
  • Automation of operations is streamlining supply chains, enhancing efficiency and reducing costs across the market.
  • Enhanced data analytics capabilities are enabling retailers to make informed decisions and optimize their offerings.
  • The rise of mobile commerce and consumer demand for personalized experiences are key drivers propelling market expansion.

Market Size & Forecast

2024 Market Size 895.1 (USD Million)
2035 Market Size 17250.5 (USD Million)

Major Players

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

GCC Applied AI in Retail E Commerce Market Trends

The applied AI in retail e-commerce market is currently experiencing a transformative phase, driven by advancements in technology and changing consumer behaviors. In the GCC region, 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. Moreover, the integration of AI technologies is likely to improve inventory management and reduce operational costs, thereby fostering a more competitive landscape among retailers. Furthermore, the applied ai-in-retail-e-commerce market in the GCC is characterized by a surge in data analytics capabilities. Retailers are harnessing vast amounts of consumer data to gain insights into purchasing patterns and preferences. This data-driven approach not only aids in decision-making but also enhances marketing strategies, allowing businesses to target specific demographics more effectively. As the market evolves, it seems that the emphasis on AI-driven solutions will continue to grow, potentially reshaping the retail environment in the region for years to come.

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.

Automation of Operations

The application of AI in automating various retail operations is on the rise. This trend includes inventory management and customer service, which can lead to improved efficiency and reduced costs.

Enhanced Data Analytics

The focus on data analytics is intensifying within the applied ai-in-retail-e-commerce market. Retailers are leveraging AI to analyze consumer behavior, enabling more effective marketing strategies and inventory decisions.

GCC Applied AI in Retail E Commerce Market Drivers

Rise of Mobile Commerce

The market is significantly impacted by the rise of mobile commerce, particularly in the GCC region. With the proliferation of smartphones and improved internet connectivity, consumers are increasingly turning to mobile devices for shopping. Recent statistics reveal that mobile commerce accounts for over 50% of total e-commerce sales in the GCC, highlighting a shift in consumer behavior. Retailers are responding by optimizing their platforms for mobile use and incorporating AI technologies to enhance user experience. Features such as chatbots and virtual assistants are becoming commonplace, providing instant support and personalized recommendations. This trend suggests that the applied ai-in-retail-e-commerce market must adapt to the mobile-first approach to capture the growing segment of mobile shoppers.

Investment in AI Technologies

The market is experiencing a notable increase in investment in AI technologies. Retailers in the GCC are recognizing the competitive advantage that AI can provide, leading to substantial financial commitments towards AI-driven solutions. Reports indicate that investments in AI within the retail sector are projected to reach $5 billion by 2026 in the GCC. This influx of capital is likely to accelerate the development and implementation of innovative AI applications, ranging from customer service automation to advanced analytics. As businesses strive to enhance operational efficiency and customer engagement, the focus on AI technologies is expected to be a key driver of growth in the applied ai-in-retail-e-commerce market.

Regulatory Support for AI Adoption

The market is benefiting from increasing regulatory support for AI adoption in the GCC. Governments in the region are actively promoting the use of AI technologies to enhance economic growth and innovation. Initiatives aimed at fostering a conducive environment for AI development are emerging, with policies that encourage investment and research in AI applications. This regulatory backing is likely to facilitate the integration of AI in retail operations, enabling businesses to harness the full potential of AI technologies. As a result, the applied ai-in-retail-e-commerce market is expected to experience accelerated growth, driven by supportive policies that promote AI adoption and innovation.

Consumer Demand for Personalized Experiences

The market is witnessing a surge in consumer demand for personalized shopping experiences. As consumers increasingly expect tailored recommendations and customized interactions, retailers are leveraging AI technologies to analyze customer data and preferences. This trend is particularly pronounced in the GCC region, where a diverse population seeks unique shopping experiences. According to recent studies, 70% of consumers in the GCC express a preference for personalized offers, indicating a significant opportunity for retailers to enhance customer engagement. By utilizing AI-driven insights, businesses can create targeted marketing strategies that resonate with individual preferences, thereby driving sales and fostering brand loyalty. This growing expectation for personalization is likely to shape the future landscape of the applied ai-in-retail-e-commerce market, compelling retailers to invest in advanced AI solutions.

Integration of AI in Supply Chain Management

The market is increasingly influenced by the integration of AI technologies in supply chain management. Retailers in the GCC are recognizing the potential of AI to optimize inventory management, demand forecasting, and logistics operations. By employing AI algorithms, businesses can analyze vast amounts of data to predict consumer demand more accurately, reducing excess inventory and minimizing stockouts. Reports indicate that companies utilizing AI in their supply chains can achieve cost reductions of up to 20%. This efficiency not only enhances operational performance but also improves customer satisfaction by ensuring product availability. As the applied ai-in-retail-e-commerce market continues to evolve, the integration of AI in supply chain processes is expected to become a critical driver of growth and competitiveness.

Market Segment Insights

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

In the GCC applied ai-in-retail-e-commerce market, Machine Learning represents the largest share among various technologies, commanding significant attention from retailers looking to optimize operations and customer engagement. Natural Language Processing (NLP) follows closely, carving out its niche as a critical technology for enhancing customer interaction and experience through improved communication interfaces and chatbots. The growth trends in this segment indicate that while Machine Learning continues to dominate, NLP is emerging rapidly due to the rising demand for more intuitive customer service solutions. Factors such as increased investment in AI technologies, the push for digital transformation in retail, and the need for personalized shopping experiences are driving these trends forward, illustrating a robust and evolving technological landscape.

Machine Learning: Dominant vs. Natural Language Processing: Emerging

Machine Learning stands out as the dominant technology in the GCC applied ai-in-retail-e-commerce market, enabling retailers to analyze vast amounts of data for predictive insights, customer segmentation, and personalized recommendations. Its ability to learn from data patterns allows businesses to enhance inventory management and sales strategies. On the other hand, Natural Language Processing is emerging as a pivotal force with its capacity to process and understand human languages, facilitating better customer interactions through chatbots and virtual assistants. As retailers strive to provide seamless, personalized experiences, NLP supports this goal by enabling real-time communication and feedback, demonstrating a crucial adaptation to consumer expectations in the digital era.

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

In the GCC applied ai-in-retail-e-commerce market, the distribution of market share among the application segment values reveals that Customer Service & Support holds the strongest position. This segment significantly leverages technological advancements to enhance customer interactions, leading to improved satisfaction rates and loyalty. Meanwhile, Sales & Marketing, while smaller in share, exhibits rapid growth as businesses increasingly adopt AI tools for targeted campaigns and personalized marketing strategies. The growth trends within this segment are driven by the rising demand for automation and efficiency in retail processes. As retailers focus on optimizing customer engagement through AI technologies, segments like Sales & Marketing show remarkable potential for expansion. With ongoing investments in digital transformation, the application of AI is expected to reshape how retailers approach both customer service and marketing initiatives, bolstering their overall competitiveness in the market.

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

Customer Service & Support has emerged as a dominant force within the GCC applied ai-in-retail-e-commerce market, characterized by its ability to enhance customer experience through AI-driven solutions such as chatbots and virtual assistants. This segment focuses on real-time support, reducing response times and improving interaction quality. On the other hand, Sales & Marketing is viewed as an emerging segment, capitalizing on data analytics to refine targeting and increase conversion rates. As businesses recognize the value of AI in shaping consumer insights, this segment is witnessing investment surges, paving the way for innovative marketing automation tools. Both segments contribute significantly to reshaping customer dynamics, yet they exhibit distinct characteristics in their approach and implementation within the retail sector.

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

In the GCC applied ai-in-retail-e-commerce market, the deployment mode dominates the landscape, with cloud-based solutions holding the largest share. This segment has gained considerable traction among retailers due to its scalability, flexibility, and lower upfront costs, making it an appealing choice for businesses aiming to enhance their operations with artificial intelligence. On-premise solutions, though currently smaller in market share, are increasingly preferred by organizations that prioritize data security and control over their systems. As the market evolves, on-premise deployment is emerging as the fastest-growing option, driven by the rising concerns regarding data privacy and the need for customized solutions among retailers. Businesses are now focusing on maintaining a strong data governance framework, which fuels the investment in on-premise infrastructures. Furthermore, technological advancements and the increasing complexity of retail operations necessitate a shift towards tailored solutions, contributing to the growth of the on-premise segment.

Deployment Mode: Cloud-based (Dominant) vs. On-premise (Emerging)

Cloud-based deployment mode stands out as the dominant choice in the GCC applied ai-in-retail-e-commerce market, offering numerous advantages such as ease of integration, automatic updates, and a subscription-based pricing model that attracts retailers looking for lower initial costs. This model allows businesses to rapidly scale their operation without significant upfront investments. Conversely, the on-premise deployment is gaining traction as an emerging choice among enterprises seeking control over their data and operations. The on-premise model provides an enhanced security infrastructure and features that can be independently tailored to meet specific organizational demands, thus appealing to retailers with stringent compliance and data management requirements.

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

In the GCC applied ai-in-retail-e-commerce market, the end-user segment is prominently led by retailers, capturing the largest share due to their extensive reliance on AI technologies for inventory management, customer engagement, and personalized marketing strategies. E-commerce platforms have been progressively gaining traction, driven by the increasing shift of consumer purchasing habits towards online shopping. This has led to significant investments in AI to enhance user experiences and operational efficiencies, forging a competitive edge in the marketplace. The growth trends in this segment are primarily influenced by the accelerating digital transformation across the retail landscape. Retailers are leveraging AI to streamline operations and improve customer insights, while e-commerce platforms are rapidly adopting innovative solutions to meet the evolving demands of consumers. These factors are likely to propel the market forward, fostering an environment ripe for collaboration and technological advancement within the GCC applied ai-in-retail-e-commerce space.

Retailers: Dominant vs. E-commerce Platforms: Emerging

Retailers in the GCC applied ai-in-retail-e-commerce market stand out as a dominant force, employing AI to optimize supply chains, enhance customer service, and boost sales through targeted marketing initiatives. Their robust infrastructure and established customer bases provide a solid foundation for integrating advanced AI solutions. In contrast, e-commerce platforms, although currently classified as emerging players, are rapidly evolving by adopting AI tools for personalization and predictive analytics. These platforms are uniquely positioned to capitalize on changing consumer behaviors, harnessing AI to offer tailored shopping experiences and efficient delivery systems, making them crucial drivers of growth in the region.

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

Key Players and Competitive Insights

The applied ai-in-retail-e-commerce market is currently characterized by intense competition and rapid technological advancements. Key growth drivers include the increasing demand for personalized shopping experiences, enhanced supply chain efficiencies, and the integration of AI technologies to streamline operations. Major players such as Amazon (US), Alibaba (CN), and Walmart (US) are strategically positioned to leverage their extensive resources and technological capabilities. Amazon (US) focuses on innovation through its AI-driven recommendation systems, while Alibaba (CN) emphasizes regional expansion and partnerships to enhance its market presence. Walmart (US) is actively pursuing digital transformation initiatives to optimize its supply chain and improve customer engagement, collectively shaping a competitive environment that is both dynamic and multifaceted.

In terms of business tactics, companies are increasingly localizing manufacturing and optimizing supply chains to respond to regional demands effectively. The market structure appears moderately fragmented, with several key players exerting substantial influence. This fragmentation allows for a diverse range of strategies, as companies seek to differentiate themselves through unique offerings and operational efficiencies.

In October 2025, Amazon (US) announced the launch of its new AI-powered logistics platform aimed at enhancing delivery speed and accuracy. This strategic move is likely to bolster Amazon's competitive edge by reducing operational costs and improving customer satisfaction, thereby reinforcing its market leadership. The integration of AI into logistics not only streamlines operations but also positions Amazon to respond more adeptly to fluctuating consumer demands.

In September 2025, Alibaba (CN) unveiled a partnership with local retailers in the GCC to enhance its e-commerce capabilities. This collaboration is significant as it allows Alibaba to tap into regional expertise and consumer preferences, potentially increasing its market share. By aligning with local businesses, Alibaba is likely to strengthen its supply chain and improve its service offerings, which could lead to a more robust competitive stance in the region.

In August 2025, Walmart (US) expanded its AI-driven customer service initiatives by implementing chatbots across its online platforms. This strategic action aims to enhance customer engagement and streamline the shopping experience. By utilizing AI to address customer inquiries more efficiently, Walmart is likely to improve customer loyalty and retention, which are critical in the highly competitive retail landscape.

As of November 2025, current competitive trends indicate a strong focus on digitalization, sustainability, and AI integration. Strategic alliances are increasingly shaping the landscape, as companies recognize the value of collaboration in enhancing their technological capabilities. Looking ahead, competitive differentiation is expected to evolve, with a notable shift from price-based competition to a focus on innovation, technology, and supply chain reliability. This transition suggests that companies that prioritize these elements will likely emerge as leaders in the applied ai-in-retail-e-commerce market.

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

Industry Developments

The GCC Applied AI in Retail E-Commerce Market has seen significant developments recently, with various companies accelerating their adoption of artificial intelligence to enhance operational efficiency and customer experiences. In September 2023, Amazon expanded its presence in the region, integrating AI-driven solutions in logistics and customer service, which is expected to improve delivery times markedly. 

Concurrently, Talabat and Carrefour have announced collaborative efforts that focus on leveraging AI for optimizing supply chains and personalizing customer offerings, signaling a trend towards more consumer-centric strategies. In October 2023, a notable acquisition involved Souq, which was absorbed by a competitive player, enhancing its AI capabilities and market share. The valuation of companies, including Zalora and Majid Al Futtaim, reflects a robust growth trajectory, buoyed by rising online shopping trends and the need for innovative retail solutions. 

Additional advancements in AI applications for predictive analytics and chatbots are being driven by firms like Dukaan and Fynd as they work to streamline customer interaction processes. The GCC region continues to solidify its position as a center for AI-driven retail innovations, with strategic investments molding the future landscape.

Future Outlook

GCC Applied AI in Retail E Commerce Market Future Outlook

The applied ai-in-retail-e-commerce market is projected to grow at a 30.86% CAGR from 2024 to 2035, driven by technological advancements, consumer demand for personalization, and operational efficiencies.

New opportunities lie in:

  • Integration of AI-driven inventory management systems
  • Development of personalized shopping assistants using AI
  • Implementation of predictive analytics for customer behavior forecasting

By 2035, the market is expected to achieve substantial growth and innovation.

Market Segmentation

GCC Applied AI in Retail E Commerce Market End User Outlook

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

GCC Applied AI in Retail E Commerce Market Technology Outlook

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

GCC Applied AI in Retail E Commerce Market Application Outlook

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

GCC Applied AI in Retail E Commerce Market Deployment Mode Outlook

  • On-premise
  • Cloud-based

Report Scope

MARKET SIZE 2024895.1(USD Million)
MARKET SIZE 20251171.33(USD Million)
MARKET SIZE 203517250.5(USD Million)
COMPOUND ANNUAL GROWTH RATE (CAGR)30.86% (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)", "Zalando (DE)", "Shopify (CA)", "Rakuten (JP)"]
Segments CoveredTechnology, Application, Deployment Mode, End User
Key Market OpportunitiesIntegration of advanced analytics and personalized shopping experiences drives growth in the applied ai-in-retail-e-commerce market.
Key Market DynamicsRapid technological advancements drive competitive differentiation in the applied AI in retail e-commerce market.
Countries CoveredGCC

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FAQs

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

The GCC Applied AI in Retail E-Commerce Market is expected to be valued at 1.1 billion USD by 2024.

What will be the projected market size of the GCC Applied AI in Retail E-Commerce Market by 2035?

By 2035, the market is projected to reach a valuation of 4.6 billion USD.

What is the expected CAGR for the GCC Applied AI in Retail E-Commerce Market between 2025 to 2035?

The expected CAGR during this period is 13.859 percent.

Which technology segment will dominate the GCC Applied AI in Retail E-Commerce Market?

Machine Learning is expected to dominate, valued at 0.4 billion USD in 2024 and projected to reach 1.78 billion USD by 2035.

What are the market values for Natural Language Processing in the GCC Applied AI in Retail E-Commerce Market by 2024 and 2035?

The market for Natural Language Processing is valued at 0.25 billion USD in 2024 and expected to be 1.13 billion USD by 2035.

Who are the key players in the GCC Applied AI in Retail E-Commerce Market?

Major players include Zalora, NOON, Talabat, Amazon, Carrefour, Alibaba, and Souq among others.

What is the projected market value for Computer Vision by 2035 in the GCC Applied AI in Retail E-Commerce Market?

The market value for Computer Vision is expected to reach 0.91 billion USD by 2035.

How much will the Speech Recognition technology segment be valued at by 2035?

The Speech Recognition segment is projected to be valued at 0.66 billion USD by 2035.

What are the key applications driving growth in the GCC Applied AI in Retail E-Commerce Market?

Key applications driving growth include personalized customer experiences, inventory management, and sales predictions.

What challenges does the GCC Applied AI in Retail E-Commerce Market face in the coming years?

Challenges include rapid technology advancements, data privacy concerns, and competition among key players.

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