Get detailed insights into the current valuation of Big Data Analytics in Retail market size, including growth analysis, current market status and future market projections.

According to Cognitive Market Research, the global Artificial Intelligence in Retail market size is USD 4951.2 million in 2023and will expand at a compound annual growth rate (CAGR) of 39.50% from 2023 to 2030.

Enhanced customer personalization to provide viable market output
Demand for online remains higher in Artificial Intelligence in the Retail market.
The machine learning and deep learning category held the highest Artificial Intelligence in Retail market revenue share in 2023.
North American Artificial Intelligence In Retail will continue to lead, whereas the Asia-Pacific Artificial Intelligence In Retail market will experience the most substantial growth until 2030.

Enhanced Customer Personalization to Provide Viable Market Output

A primary driver of Artificial Intelligence in the Retail market is the pursuit of enhanced customer personalization. A.I. algorithms analyze vast datasets of customer behaviors, preferences, and purchase history to deliver highly personalized shopping experiences. Retailers leverage this insight to offer tailored product recommendations, targeted marketing campaigns, and personalized promotions. The drive for superior customer personalization not only enhances customer satisfaction but also increases engagement and boosts sales. This focus on individualized interactions through A.I. applications is a key driver shaping the dynamic landscape of A.I. in the retail market.

January 2023 - Microsoft and digital start-up AiFi worked together to offer Smart Store Analytics. It is a cloud-based tracking solution that helps merchants with operational and shopper insights for intelligent, cashierless stores.

Source-techcrunch.com/2023/01/10/aifi-microsoft-smart-store-analytics/

Improved Operational Efficiency to Propel Market Growth

Another pivotal driver is the quest for improved operational efficiency within the retail sector. A.I. technologies streamline various aspects of retail operations, from inventory management and demand forecasting to supply chain optimization and cashier-less checkout systems. By automating routine tasks and leveraging predictive analytics, retailers can enhance efficiency, reduce costs, and minimize errors. The pursuit of improved operational efficiency is a key motivator for retailers to invest in AI solutions, enabling them to stay competitive, adapt to dynamic market conditions, and meet the evolving demands of modern consumers in the highly competitive artificial intelligence (AI) retail market.

January 2023 - The EY Retail Intelligence solution, which is based on Microsoft Cloud, was introduced by the Fintech business EY to give customers a safe and efficient shopping experience. In order to deliver insightful information, this solution makes use of Microsoft Cloud for Retail and its technologies, which include image recognition, analytics, and artificial intelligence (A.I.).

Source-www.ey.com/en_gl/news/2023/01/ey-announces-launch-of-retail-solution-that-builds-on-the-microsoft-cloud-to-help-achieve-seamless-consumer-shopping-experiences

Market Dynamics of the Artificial Intelligence in the Retail market

Data Security Concerns to Restrict Market Growth

A prominent restraint in Artificial Intelligence in the Retail market is the pervasive concern over data security. As retailers increasingly rely on A.I. to process vast amounts of customer data for personalized experiences, there is a growing apprehension regarding the protection of sensitive information. The potential for data breaches and cyberattacks poses a significant challenge, as retailers must navigate the delicate balance between utilizing customer data for AI-driven initiatives and safeguarding it against potential security threats. Addressing these concerns is crucial to building and maintaining consumer trust in A.I. applications within the retail sector.

Impact of COVID–19 on the Artificial Intelligence in the Retail market

The COVID-19 pandemic significantly influenced artificial intelligence in the retail market, accelerating the adoption of A.I. technologies across the industry. With lockdowns, social distancing measures, and a surge in online shopping, retailers turned to A.I. to navigate the challenges posed by the pandemic. AI-powered solutions played a crucial role in optimizing supply chain management, predicting shifts in consumer behavior, and enhancing e-commerce experiences. Retailers lever...

Ai in Retail is Undergoing Significant Transformations With the Integration of Retail AI. Companies are Leveraging Artificial Intelligence in Retail To Enhance Strategies, Improve Outcomes, And Boost Online Customer Engagement. AI Retail Solutions Like Machine Learning and Deep Learning are Commonly Used, Providing A Personalized User Experience. AI for Retail, Including Computer Vision, Is Improving Customer Experience and Inventory Management. The Use of AI Retail Technology is Expected To Surge, With Investments in AI-Powered Retail Analytics Increasing.

Expert industry market research on the Retail Trade in the US (2002-2031). Make better business decisions, faster with IBISWorld's industry market research reports, statistics, analysis, data, trends and forecasts.

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Retail Analytics Market Size 2024-2028

The retail analytics market size is forecast to increase by USD 21.6 billion at a CAGR of 28.1% between 2023 and 2028.

The market is experiencing significant growth due to the increasing volume and complexity of data generated by retail businesses. This data provides valuable insights into consumer behavior, inventory management, and operational efficiency. Another key trend is the increasing adoption of artificial intelligence and inventory robots in the retail sector to analyze customer preferences, optimize pricing, and personalize marketing efforts. 
However, privacy and security concerns of customers remain a challenge, as retailers must ensure that customer data is protected while still providing personalized experiences. To address this, retailers are investing in advanced security measures and transparent data handling practices. Overall, the market is poised for continued growth as retailers seek to gain a competitive edge through data-driven insights.

What will be the Size of the Retail Analytics Market During the Forecast Period?

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The market is experiencing significant growth due to the increasing adoption of big data, data mining, and artificial intelligence (AI) technologies to gain business insights from customer behavior patterns and preferences in both physical retail stores and virtual stores, including e-commerce platforms. 
Retailers are leveraging data analytics to optimize product inventory management, shelf space allocation, and assortment planning, minimizing out-of-stock situations and reducing product obsolescence. AI-driven solutions enable micro-level analysis of multi-channel order performance, supply chain processes, and shelf space management. Blockchain technology is also gaining traction in the retail sector for secure data sharing and enhanced transparency in supply chain movements and inventory levels.
Procurement levels, marketing decisions, product recommendations, pricing strategy, and promotional campaigns are among the various areas where retail analytics plays a crucial role in driving operational efficiency and enhancing customer satisfaction.

How is this Retail Analytics Industry segmented and which is the largest segment?

The retail analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Application

  In-store operation
  Customer management
  Supply chain management
  Marketing and merchandizing
  Others


Component

  Software
  Services


Geography

  North America

    US


  Europe

    Germany
    UK


  APAC

    China
    India


  Middle East and Africa



  South America

By Application Insights

The in-store operation segment is estimated to witness significant growth during the forecast period.

The market encompasses the utilization of big data, data mining, and business insights to optimize retail operations across various channels. This includes physical retail stores, virtual stores, e-commerce platforms, mobile apps, and online grocery shopping. Retailers employ customer-level analytics for understanding customer behavior patterns, sales performance, and preferences. Advanced technologies such as artificial intelligence (AI), machine learning, and self-learning computer algorithms are used to analyze data and provide real-time assistance. Retailers focus on inventory management, including product inventory management, shelf space allocation, micro-level analysis, assortment planning, and out-of-stock situations. They also address obsolescence, multi-channel order performance, and supply chain processes.

Real-time data analysis is crucial for managing inventory levels, procurement levels, pricing strategies, and marketing decisions. Retailers use customer personas and data privacy regulations to ensure customer satisfaction and loyalty. Retail analytics plays a significant role in Industry 4.0, digital transformation, and real-time data analysis. It enables predictive learning algorithms, demand forecasting, and visualization for effective inventory management and pricing strategies. Large enterprises in finance, sales and marketing, and supply chain sectors benefit from retail analytics, along with retail chains and merchandising teams for strategy and planning, staff management, and pricing management.

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The In-store operation segment was valued at USD 1.03 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 30% to the growth of the global market during the forecast period.

Technavio's analysts have el

A global survey from Capgemini showed that retail companies were lagging behind consumer products enterprises in the use of data. The gap was significant in the automation of processes and in data collecting: only 34 percent of retailers automated data collection, against 45 percent of consumer goods companies. However, one in four organizations in both categories reported to have implemented practices involving data engineering, machine learning, and DevOps.

According to Cognitive Market Research, the global retail sector market size will be USD 29584.5 million in 2024. It will rise at a compound annual growth rate (CAGR) of 5.9% between 2024 and 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 11833.8 million in 2024 and will climb at a compound annual growth rate (CAGR) of 4.1% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 8875.4 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 6804.4 million in 2024 and will climb at a compound annual growth rate (CAGR) of 7.9% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 1479.2 million in 2024 and will climb at a compound annual growth rate (CAGR) of 5.3% from 2024 to 2031.
Middle East & Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 591.7 million in 2024 and will climb at a compound annual growth rate (CAGR) of 5.6% from 2024 to 2031.
The independent retailer segment is the fastest-growing ownership category of the retail sector industry.

Market Dynamics of Retail Sector Market

Key Drivers for Retail Sector Market

Increased Focus on Personalized User Experience to Facilitate Market Growth

The rapid growth of e-commerce has transformed the retail landscape. Consumers increasingly prefer the convenience of online shopping due to its accessibility, variety, and ease of comparison. This flexibility is particularly appealing to busy individuals and families. The proliferation of smartphones and improved internet access globally enables more people to engage in online shopping. This trend is especially prominent in emerging markets where digital access is expanding rapidly. Retailers are continuously investing in user-friendly websites, mobile apps, and personalized shopping experiences, utilizing AI and machine learning to tailor recommendations and promotions to individual preferences. For instance, on January 19, 2023, Tata Consultancy Services (TCS) announced TCS Customer Intelligence & Insights (CI&I) for Retail 3.0 to assist merchants in strengthening their client interactions. This provides hyper-personalized involvement at all stages of the customer journey. The platform delivers insights, forecasts, and recommended actions at key physical and digital touchpoints, resulting in increased marketing ROI and customer happiness.

Robust Adoption of Highly Advanced Technologies to Promote Market Developments

Emerging technological innovations are reshaping the retail sector by enhancing operational efficiency, improving customer experiences, and enabling personalized marketing strategies. Retailers are leveraging AI for inventory management, customer service, and personalized recommendations. AI-driven analytics help retailers understand consumer preferences and optimize their product offerings accordingly. The use of big data allows retailers to analyze consumer behavior, preferences, and purchasing patterns. This data-driven approach enables targeted marketing strategies and improves customer engagement. For instance, in January 2023, Microsoft and AiFi, a firm that helps businesses adopt modern shopping technology at a reasonable cost, announced their cloud service 'Smart Store Analytics'. Smart store analytics, which is part of Microsoft's Cloud for Retail product suite, provides shopper and operational data for retailers who use AiFi technology in their smart store fleets.

Restraint Factor for the Retail Sector Market

Growing Number of Retail Players Increases Price Wars to Limit Market Share

The growing number of retailers and e-commerce platforms is intensifying price competition within the retail sector. As more players enter the market, both brick-and-mortar stores and online platforms are vying for consumer attention by offering competitive pricing strategies. This increased competition leads to frequent discounting, promotional offers, and price wars, which can erode profit margins for retailers. Smaller businesses, in particular, face challenges in maintaining profitability as they compete with larger retailers who can leverage economies of scale to offer lower prices. Thus, the pressure to balance competitive pricing with sustainable marg...

By Product Category: The market is further segmented by product category into grocery, apparel & accessories, electronics & appliances, health & beauty, and home & living. Groceries hold a dominant market share as they address daily necessities, reflecting consumer reliance on stable, essential products. Major players have strengthened logistics for grocery delivery, enhancing convenience and reliability in meeting consumer demands for fresh products. By Retail Format: The Indonesia retail market is segmented by retail format into hypermarkets & supermarkets, department stores, convenience stores, e-commerce, and specialty stores. Recently, convenience stores have a dominant market share due to their proximity, rapid service, and adaptability to urban areas. Chains like Indomaret and Alfamart offer extensive networks, positioning themselves as integral to the urban retail landscape, especially in catering to daily consumer needs. Indonesia RetailMarket Segmentation Thegrowing popularity of in-store bakerieswithin supermarkets and hypermarkets has been particularly pronounced in 2023, as retailers have increasingly integrated these bakeries to enhance the shopping experience by offering a variety of freshly baked goods, such as doughnuts, cakes, and pastries. The convenience of purchasing high-quality baked items alongside regular grocery shopping has resonated well with consumers, contributing to a positive shift in retail dynamics.

The global artificial intelligence in retail market is forecast to reach US$ 10.76 billion in 2023. The adoption of artificial intelligence in retail is expected to surpass US$ 127.09 billion by 2033. Future Market Insights forecasts the demand for artificial intelligence in retail to grow by 28% CAGR between 2023 and 2033.

By Retail Format: The Indonesia retail market is segmented by retail format into hypermarkets & supermarkets, department stores, convenience stores, e-commerce, and specialty stores. Recently, convenience stores have a dominant market share due to their proximity, rapid service, and adaptability to urban areas. Chains like Indomaret and Alfamart offer extensive networks, positioning themselves as integral to the urban retail landscape, especially in catering to daily consumer needs. Indonesia RetailMarket Segmentation Thegrowing popularity of in-store bakerieswithin supermarkets and hypermarkets has been particularly pronounced in 2023, as retailers have increasingly integrated these bakeries to enhance the shopping experience by offering a variety of freshly baked goods, such as doughnuts, cakes, and pastries. The convenience of purchasing high-quality baked items alongside regular grocery shopping has resonated well with consumers, contributing to a positive shift in retail dynamics.

The Report Covers North America Retail Automation Solutions and the Market is Segmented by Component (Hardware, Software), End User (Grocery, General Merchandise, Hospitality), and Country (US, Canada). The market sizes and forecasts are provided in terms of value (USD million) for all the above segments.

Indonesia Retail Market is estimated to grow at a CAGR of around 4.7% during the forecast period 2024-30. The rising popularity of In-store bakeries will drive the Indonesia Retail Market growth during 2024-2030.

India retail market size is projected to exhibit a growth rate (CAGR) of 13.90% during 2024-2032. The expanding e-commerce industry and evolving consumer preferences are primarily driving the market growth across the country.

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2024-2032. Our report has categorized the market based on product and distribution channel.

The retail market size in India was expected to amount to 1.7 trillion U.S. dollars by 2026, up from 883 billion dollars in 2020. While an overall increase was noted up to 2019, 2020 marked a decrease due to the coronavirus pandemic. Nevertheless, the market is estimated to recover in 2021.

 The Indian retail landscape
Despite the pandemic, India was among the few countries, showing growth in retail sales in 2020. Characterized by its unorganized retail primarily via kirana stores, the country underwent a process of change in retail forms, which is yet to pace down. The emergence of larger retail spaces such as malls and supermarkets, along with growth of online commerce drove change in the subcontinent’s retail landscape. Nevertheless, kirana stores continued to dominate Indian retail, adopting digitalization and collaboration with larger players in this sector as well.

 The dominance of grocery retail   The retail of groceries contributed as much as 65 percent to India’s retail. However, only a small share of that was sold through online or modern retailers. The coronavirus (COVID-19) pandemic in 2020, gave online retail a new push to e-grocers. As products were sometimes not available at physical stores, online grocers such as BigBasket managed to fill that gap successfully.

The report covers Australian Retail Industry Companies & Overview and is segmented by Products (Food and Beverages, Personal and Household Care, Apparel, Footwear and Accessories, Furniture, Toys and Hobby, Electronic and Household Appliances, and Other Products) and Distribution Channel (Supermarkets/Hypermarkets, Convenience Stores, and Department Stores, Specialty Stores, Online, and Other Distribution Channels).

India retail analytics market size reached USD 501.4 Million in ​2024​. Looking forward, IMARC Group expects the market to reach USD 2,871.9 Million by ​2033​, exhibiting a growth rate (CAGR) of 20.33% during 2025-2033. The rising emphasis on understanding and optimizing supply chain operations is primarily driving the market growth.

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2025-2033. Our report has categorized the market based on function, component, deployment mode, and end user.

The Artificial Intelligence (AI) In Retail Market is projected to grow at 30.1% CAGR, reaching $44.43 Billion by 2029. Where is the industry heading next? Get the sample report now!

This statistic shows the projected number of workers in the retail industry in the United States in 2019 and 2026, by size of firm. By 2026, the retail industry in the U.S. is projected to have more than 8.76 million workers at firms employing 10,000 people or more.

Expert industry market research on the Retail Trade in the US (2005-2030). Make better business decisions, faster with IBISWorld's industry market research reports, statistics, analysis, data, trends and forecasts.

Retail Sales in the United States increased 0.20 percent in February of 2025 over the previous month. This dataset provides - U.S. December Retail Sales Increased More Than Forecast - actual values, historical data, forecast, chart, statistics, economic calendar and news.