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    Applied AI in Retail & E-commerce Market

    ID: MRFR/ICT/10660-HCR
    128 Pages
    Aarti Dhapte
    October 2025

    Applied AI in Retail & E-commerce Market Research Report: By Technology (Machine Learning, Natural Language Processing (NLP), Computer Vision, Speech Recognition, and Predictive Analytics), Application (Customer Service & Support, Sales & Marketing, Supply Chain Management, Price Optimization, Payment Processing, and Product Search & Discovery), Deployment (On-Premise, and Cloud-Based), End-User (Retailers, E-commerce Platforms, Consumer Goods Manufacturers, Logistics & Supply Chain Companies), By Region - Forecast Till 2...

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    Applied AI in Retail & E-commerce Market Summary

    The Global Applied AI in Retail and E-commerce Market is projected to experience substantial growth from 44.75 USD Billion in 2024 to 862.56 USD Billion by 2035.

    Key Market Trends & Highlights

    Applied AI in Retail & E-commerce Key Trends and Highlights

    • The market is expected to grow at a remarkable CAGR of 30.88% from 2025 to 2035.
    • By 2035, the market valuation is anticipated to reach 862.5 USD Billion, indicating a robust expansion.
    • in 2024, the market is valued at 44.75 USD Billion, laying a strong foundation for future growth.
    • Growing adoption of AI technologies due to increasing consumer demand for personalized shopping experiences is a major market driver.

    Market Size & Forecast

    2024 Market Size 44.75 (USD Billion)
    2035 Market Size 862.56 (USD Billion)
    CAGR (2025-2035) 30.86%

    Major Players

    Quantifind, OpenAI, Accenture, DataRobot, SAS, IBM, Microsoft, Adobe, NVIDIA, Intel, Google, Amazon

    Applied AI in Retail & E-commerce Market Drivers

    Market Growth Projections

    The Global Applied AI in Retail and E-commerce Market Industry is poised for remarkable growth, with projections indicating a market value of 44.7 USD Billion in 2024 and an anticipated surge to 862.5 USD Billion by 2035. This growth trajectory reflects a compound annual growth rate of 30.88% from 2025 to 2035, highlighting the increasing adoption of AI technologies across the retail sector. As businesses continue to recognize the transformative potential of AI, the market is likely to expand significantly, driven by advancements in technology, consumer demand for personalization, and the need for efficient supply chain management.

    Enhanced Supply Chain Management

    Efficient supply chain management is crucial for the success of the Global Applied AI in Retail and E-commerce Market Industry. AI technologies enable retailers to optimize inventory levels, forecast demand accurately, and streamline logistics. For example, predictive analytics can help businesses anticipate stock shortages and adjust procurement strategies accordingly. This optimization not only reduces operational costs but also enhances customer satisfaction by ensuring product availability. As the market evolves, the integration of AI in supply chain processes is expected to drive significant growth, with a projected compound annual growth rate of 30.88% from 2025 to 2035.

    Rapid Technological Advancements

    The Global Applied AI in Retail and E-commerce Market Industry is experiencing rapid technological advancements that enhance operational efficiency and customer experience. Innovations in machine learning, natural language processing, and computer vision are transforming how retailers interact with consumers. For instance, AI-driven chatbots are now commonplace, providing 24/7 customer service and personalized recommendations. This technological evolution is projected to drive the market's growth, with the industry expected to reach 44.7 USD Billion in 2024. As these technologies continue to evolve, they are likely to create new opportunities for retailers to optimize their supply chains and improve customer engagement.

    Emergence of Omnichannel Retailing

    The emergence of omnichannel retailing is reshaping the Global Applied AI in Retail and E-commerce Market Industry. Retailers are increasingly adopting a seamless approach to integrate online and offline shopping experiences, which is facilitated by AI technologies. By utilizing AI for data analysis, businesses can better understand consumer behavior across multiple channels and tailor their marketing strategies accordingly. This integration not only enhances customer engagement but also drives sales growth. As the market adapts to this omnichannel approach, it is likely to witness substantial growth, with projections indicating a market value of 862.5 USD Billion by 2035.

    Growing Investment in AI Technologies

    Investment in AI technologies is a key driver of the Global Applied AI in Retail and E-commerce Market Industry. Retailers are increasingly allocating resources to develop and implement AI solutions that enhance their operational capabilities. This trend is evidenced by the rising number of partnerships between technology firms and retail businesses aimed at harnessing AI for various applications, from customer service to inventory management. As companies recognize the potential return on investment from AI integration, funding for AI initiatives is expected to surge, further propelling market growth. The industry's value is anticipated to reach 44.7 USD Billion in 2024, reflecting this growing investment trend.

    Increased Consumer Demand for Personalization

    Consumer demand for personalized shopping experiences is a significant driver in the Global Applied AI in Retail and E-commerce Market Industry. Shoppers increasingly expect tailored recommendations and experiences that cater to their individual preferences. Retailers are leveraging AI algorithms to analyze consumer data and deliver personalized content, which has been shown to enhance customer satisfaction and loyalty. As a result, businesses that adopt AI-driven personalization strategies are likely to see increased sales and customer retention. This trend is expected to contribute to the market's growth, with projections indicating a substantial increase in market value, reaching 862.5 USD Billion by 2035.

    Market Segment Insights

    Applied AI in Retail & E-commerce Market- Technology Insights

    The Applied AI in Retail & E-commerce Market segmentation, based on Technology, includes Machine Learning, Natural Language Processing (NLP), Computer Vision, Speech Recognition, and Predictive Analytics. The Machine Learning segment held the majority share in 2022 in the Applied AI in Retail & E-commerce Market data and is projected to be the fast-growing segment in the forecast period. Machine learning is a critical segment within the field of Applied AI in the retail and e-commerce market. It plays a central role in driving personalization, optimizing operations, and enhancing decision-making processes.

    Machine learning algorithms analyze customer data, such as browsing history, purchase behavior, and preferences, to provide personalized product recommendations. These recommendations increase the likelihood of customers finding and purchasing products that align with their interests.

    Applied AI in Retail & E-commerce Market- Application Insights

    The Applied AI in Retail & E-commerce Market segmentation, based on Application, includes Customer Service & Support, Sales & Marketing, Supply Chain Management, Price Optimization, Payment Processing, and Product Search & Discovery. The Customer Service & Support segment dominated the market growth in 2022 and is projected to be the faster-growing segment during the forecast period, 2023-2032. The Customer Service & Support segment is a crucial area of Applied AI in the retail and e-commerce market, as it enables businesses to provide efficient, personalized, and 24/7 customer assistance.

    AI-powered chatbots and virtual assistants handle routine customer inquiries, such as order tracking, product information, and return requests, freeing up human agents to focus on more complex issues. AI can route customer queries to the most appropriate human agents or departments, ensuring that customers receive prompt and accurate responses.

    FIGURE 2: APPLIED AI IN RETAIL & E-COMMERCE MARKET, BY APPLICATION, 2022 & 2032 (USD BILLION)

    Source: Secondary Research, Primary Research, Market Research Future Database and Analyst Review

    Applied AI in Retail & E-commerce Market – Deployment Mode Insights

    The Applied AI in Retail & E-commerce Market segmentation, based on Deployment Mode, includes on-premise, and cloud based. The on-premise segment held the majority share in 2022 in the Applied AI in Retail & E-commerce Market data and is projected to be the fast-growing segment in the forecast period. The On-Premise segment in the Applied AI in Retail & E-commerce Market refers to the deployment mode where AI solutions and systems are hosted and operated within the physical infrastructure of the retailer or e-commerce company, rather than being hosted on cloud-based servers or third-party data centers.

    In this deployment model, AI applications, servers, storage, and other necessary hardware and software components are located within the retailer's or e-commerce company's own data centers or facilities.

    Applied AI in Retail & E-commerce Market – End User Insights

    The Applied AI in Retail & E-commerce Market segmentation, based on End User, includes Retailers, E-commerce Platforms, Consumer Goods Manufacturers, Logistics & Supply Chain Companies, and Others. The Retailers segment held the majority share in 2022 in the Applied AI in Retail & E-commerce Market data and is projected to be the fast-growing segment in the forecast period. Retailers use Applied AI to analyze customer data and behavior, enabling personalized product recommendations and content to improve the AI-powered shopping experience. AI optimizes supply chain operations, reducing costs and enhancing the efficiency of inventory movement and logistics.

    Retailers analyze customer behavior through AI to gain insights into shopping patterns, preferences, and trends.

    Get more detailed insights about Applied AI in Retail & E-commerce Market Research Report - Forecast till 2034

    Regional Insights

    By region, the study provides the market insights into North America, Europe, Asia-Pacific, Middle East & Africa, and South America. North America Applied AI in Retail & E-commerce Market accounted for USD 7.65 billion in 2022 with a share of around 34.61% and is expected to exhibit a significant CAGR growth during the study period. The growth of Applied AI in the Retail & E-commerce Market in North America is driven by several key factors that reflect the region's strong technology infrastructure, consumer demand for personalized experiences, and the competitive nature of the retail industry.

    North America, particularly the United States, boasts a mature and robust technology ecosystem with a concentration of AI research, development, and innovation centers. This fosters a conducive environment for the growth of Applied AI applications in retail and e-commerce. Consumers in the region value convenience and expect seamless shopping experiences, which Applied AI can deliver through features like chatbots, virtual assistants, and smooth checkout processes.

    Further, the major countries studied in the market report are: The U.S, Canada, Germany, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.

    Figure 3: APPLIED AI IN RETAIL & E-COMMERCE MARKET SHARE BY REGION, 2022 & 2032 (USD BILLION)

    APPLIED AI IN RETAIL & E-COMMERCE MARKET SHARE BY REGION, 2022 & 2032

    Source: Secondary Research, Primary Research, Market Research Future Database and Analyst Review

    Europe Applied AI in Retail & E-commerce Market accounts for the second-largest market share. The e-commerce sector in Europe has experienced significant growth, and it continues to expand rapidly. This growth has incentivized retailers and e-commerce platforms to invest in Applied AI technologies to stay competitive and improve operational efficiency. Moreover, Germany Applied AI in Retail & E-commerce Market held the largest market share, and the UK Applied AI in Retail & E-commerce Market was the fastest growing market in the European region.

    Asia-Pacific Applied AI in Retail & E-commerce Market accounts for the third-largest market share and is projected to continue increasing due to rapid digital transformation. Asia-Pacific is experiencing rapid digital transformation, with more consumers and businesses going online. Retailers and e-commerce platforms are leveraging Applied AI to enhance their digital offerings and customer experiences. Further, the China Applied AI in Retail & E-commerce Market held the largest market share, and the India Applied AI in Retail & E-commerce Market was the fastest growing market in the region.

    The Middle East & Africa Applied AI in Retail & E-commerce Market is rapidly growing due to increasing cross border trade. Cross-border e-commerce is growing in Middle East & Africa, and Applied AI helps retailers manage international operations, currency conversions, and localization to cater to a diverse customer base. The region's e-commerce market is competitive, with both local and international players. AI is used to gain a competitive edge through improved customer experiences, personalized recommendations, and efficient supply chain management.

    Also, The South America Applied AI in Retail & E-commerce Market is growing due to increase in Tech-Savvy Consumers. South America has a growing population of tech-savvy consumers who are increasingly comfortable with digital technologies. AI-driven features such as personalized recommendations and mobile commerce are well-received by this demographic.

    Key Players and Competitive Insights

    Major market players are spending a lot of money on R&D to increase their product lines, which will help the Applied AI in Retail & E-commerce Market grow even more. Market participants are also taking a range of strategic initiatives to grow their worldwide footprint, with key market developments such as new product launches, mergers and acquisitions, contractual agreements, increased investments, and collaboration with other organizations. Competitors in the Applied AI in Retail & E-commerce industry must offer cost-effective items to expand and survive in an increasingly competitive and rising market environment.

    One of the primary business strategies adopted by manufacturers in the global Applied AI in Retail & E-commerce industry to benefit clients and expand the market sector is to manufacture locally to reduce operating costs. In recent years, Applied AI in Retail & E-commerce industry has provided Technology segment with some of the most significant benefits. The Applied AI in Retail & E-commerce Market major player such as Quantifind, OpenAI, Accenture, DataRobot, SAS, IBM, Microsoft, Adobe, NVIDIA, Intel, Google, Amazon, and other market players.

    Brain Corp, San Diego, is a technology-based company specializing in the development of intelligent, autonomous navigation systems for everyday machines. In March 2023, Brain Corp has rolled out its autonomous floor scrubber ‘Auto-C’ that cleans the aisle of a Walmart’s store and captures in real-time, images of every single item in the store.

    Key Companies in the Applied AI in Retail & E-commerce Market market include

    Industry Developments

    August 2023:The Singapore MIT-Alliance for Research and Technology (SMART), a research enterprise in Singapore, has launched a new interdisciplinary research group working on rise of artificial intelligence and other new technologies. 

    September 2023:Zomato, a leading online meal delivery service, has introduced ‘Zomato AI’, an interactive chatbot to make food ordering process more convenient & personalized.

    Future Outlook

    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 2025 to 2035, driven by enhanced customer personalization, operational efficiency, and data analytics advancements.

    New opportunities lie in:

    • Develop AI-driven inventory management systems to optimize stock levels and reduce waste.
    • Implement personalized shopping experiences using AI algorithms to enhance customer engagement.
    • Leverage predictive analytics for targeted marketing campaigns to increase conversion rates.

    By 2035, the market is expected to be a cornerstone of retail innovation and efficiency.

    Market Segmentation

    Applied AI in Retail & E-commerce End-User Outlook (USD Billion, 2019-2032)

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

    Applied AI in Retail & E-commerce Regional Outlook (USD Billion, 2019-2032)

    • US
    • Canada
    • Germany
    • France
    • UK
    • Italy
    • Spain
    • Rest of Europe
    • China
    • Japan
    • India
    • South Africa
    • Brazil

    Applied AI in Retail & E-commerce Technology Outlook (USD Billion, 2019-2032)

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

    Applied AI in Retail & E-commerce Application Outlook (USD Billion, 2019-2032)

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

    Applied AI in Retail & E-commerce Deployment Mode Outlook (USD Billion, 2019-2032)

    • On-premise
    • Cloud-based

    Report Scope

    Report Attribute/Metric Details
    Market Size 2024 44.75 (USD Billion)
    Market Size 2025 58.56 (USD Billion)
    Market Size 2035 862.56 (USD Billion)
    Compound Annual Growth Rate (CAGR) 30.86% (2025 - 2035)
    Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
    Base Year 2024
    Market Forecast Period 2025 - 2035
    Historical Data 2019 - 2023
    Market Forecast Units USD Billion
    Segments Covered Technology, Application, Deployment Mode, End-User, and Region
    Geographies Covered North America, Europe, Asia-Pacific Pacific, Middle East & Africa, and South America
    Countries Covered The U.S, Canada, Germany, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil
    Key Companies Profiled Quantifind, OpenAI, Accenture, DataRobot, SAS, IBM, Microsoft, Adobe, NVIDIA, Intel, Google, Amazon, and other market players.
    Key Market Opportunities AI can facilitate international expansion by automating translation, currency conversion, and localization efforts for e-commerce businesses
    Key Market Dynamics Growing demand due to capability of Applied AI offering tailored product recommendations, pricing, and content, enhancing customer satisfaction & conversion rates Ability of Applied AI of demand forecasting, inventory management, and logistics optimization leading to cost savings, reduced stockouts, and improved order fulfillment

    Market Highlights

    Author
    Aarti Dhapte
    Team Lead - Research

    She holds an experience of about 6+ years in Market Research and Business Consulting, working under the spectrum of Information Communication Technology, Telecommunications and Semiconductor domains. Aarti conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. Her expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc.

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    FAQs

    How much is the Applied AI in Retail & E-commerce Market?

    The Applied AI in Retail & E-commerce Market size was valued at USD 44.75 billion in 2024.

    What is the growth rate of the Applied AI in Retail & E-commerce Market?

    The global market is projected to grow at a CAGR of 30.86% during the forecast period, 2025-2034.

    Which region held the largest market share in the Applied AI in Retail & E-commerce Market?

    North America had the largest share in the Applied AI in Retail & E-commerce Market.

    Who are the key players in the Applied AI in Retail & E-commerce Market?

    The key players in the market are Quantifind, OpenAI, Accenture, DataRobot, SAS, IBM, Microsoft, Adobe, NVIDIA, Intel, Google, Amazon, and other market players.

    Which Technology Type led the Applied AI in Retail & E-commerce Market?

    Machine Learning dominated the market in 2024.

    Which application had the largest market share in the Applied AI in Retail & E-commerce Market?

    The Customer Service & Support application had the largest share in the global market.

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