Artificial Intelligence (AI) in Retail Market Size Zooming More Than 6X to Touch USD 39.4 Billion by 2029 | BlueWeave Consulting

North America held the highest share in the global artificial intelligence (AI) in retail market in 2020. However, during the forecast period, the Asia-Pacific region is projected to experience significant growth due to various factors such as increased economic growth, spending capabilities, and consumer demand. Additionally, the region is seeing substantial growth in internet infrastructure, which is aiding in the expansion of e-commerce in major countries, such as China and India. Government initiatives and investments in AI technology are also driving the growth of the AI market for retail in the region, especially for real-time inventory management and improved productivity.


New Delhi, April 11, 2023 (GLOBE NEWSWIRE) -- Global artificial intelligence (AI) in retail market is flourishing because of increasing advancements in AI technology, a growing demand for personalized shopping experiences, and increasing competition among retailers.

BlueWeave Consulting, a leading strategic consulting and market research firm, in its recent study, estimated global artificial intelligence (AI) in retail market size at USD 6.21 billion in 2022. During the forecast period between 2023 and 2029, BlueWeave expects global artificial intelligence (AI) in retail market size to grow at a robust CAGR of 30.33% reaching a value of USD 39.35 billion by 2029. Major growth factors of global artificial intelligence (AI) in retail market include growing number of internet users and smart device usage, heightened awareness of AI, big data, and analytics, and government efforts to promote digitization. Also, the adoption of omnichannel retailing tactics, unexplored prospects for boosting sales efficiency, the drive for enterprises to streamline their business processes, and the desire to improve end-user experience and capitalize on market trends are all contributing to the expansion of the global artificial intelligence in retail market. However, high implementation and maintenance costs associated with AI solutions, particularly for small and medium-sized retailers, are anticipated to restrain the overall market growth during the period in analysis.


Global Artificial Intelligence (AI) in Retail Market – Overview

Global artificial intelligence (AI) in retail market refers to the application of advanced technologies, such as machine learning (ML), natural language processing (NLP), and computer vision, to improve the efficiency, accuracy, and effectiveness of various retail operations. The use of AI in the retail industry enables retailers to gain insights into consumer behavior and preferences, optimize inventory and supply chain management, enhance customer engagement, and deliver personalized shopping experiences. The market encompasses AI-powered software, platforms, and services designed to automate and streamline retail operations, including sales forecasting, inventory management, demand planning, customer service, and marketing. The AI in retail market is witnessing significant growth, due to the increasing adoption of advanced technologies, the proliferation of e-commerce, and the growing demand for innovative retail solutions that enhance productivity, profitability, and customer satisfaction.

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Impact of COVID-19 on Global Artificial Intelligence (AI) in Retail Market

COVID-19 had a negative impact on the global economy, causing governments to shut down retail operations and import-export activities, disrupting supply chains. The pandemic has also resulted in significant changes in consumer behavior and product demand, affecting retail stores, factories, and logistics services. Many non-essential businesses have temporarily closed, leaving only food and grocery stores and pharmacies open, greatly impacting brick-and-mortar retail stores. Consequently, online shopping channels have become more significant, prompting retailers to adopt sustainability initiatives that integrate with their digital presence. As a result, organizations in the retail sector are increasingly using AI solutions to improve their operations and meet customer demands. They are employing online platforms to provide personalized customer engagement, inventory management, supply chain management, programmatic advertising, smart recommendations, and chatbots. The COVID-19 crisis has also allowed leading retail players to restructure and revisit their existing strategies and product portfolios. However, the situation is constantly evolving, and companies in this market are adapting to this new reality and planning for various scenarios.

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Global Artificial Intelligence (AI) in Retail Market – By Technology

Based on technology, global artificial intelligence (AI) in retail market is segmented into Machine Learning (ML), Natural Language Processing (NLP), and Computer Vision. The machine learning segment dominates the global artificial intelligence (AI) in retail market. Machine learning is capable of swiftly analyzing large volumes of data and can provide personalized experiences to customers, making it a valuable tool for retailers. It can also enhance supply chain systems and demand forecasts, leading to improved inventory efficiency. For instance, Amazon SageMaker, a fully-managed service offered by Amazon Inc., utilizes ML for various applications, ranging from predictive analytics to improving the customer experience. The NLP segment is expected to witness significant growth during the forecast period. The increasing demand for AI-powered chatbots and the rise of data analysis are expected to drive advancements in NLP. NLP-powered chatbots can improve customer interactions, including mobile interfaces and touchscreen, providing a more interactive and engaging experience. Additionally, NLP can aid in sentiment analysis for evaluating call center interactions, customer messages, social media posts, and online reviews.

Competitive Landscape

Major players operating in global artificial intelligence (AI) in retail market include IBM Corporation, Amazon Web Services, Inc., Microsoft Corporation, Salesforce.com, Inc., Symphony RetailAI, RetailNext, Oracle Corporation, Infosys Limited, HCL Technologies Limited, Manthan Software Services Pvt. Ltd., Capillary Technologies, Numenta, and Sentient Technologies Holdings Limited. To further enhance their market share, these companies employ various strategies, including mergers and acquisitions, partnerships, joint ventures, license agreements, and new product launches.

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The in-depth analysis of the report provides information about growth potential, upcoming trends, and statistics of Global Artificial Intelligence (AI) in Retail Market. It also highlights the factors driving forecasts of total market size. The report promises to provide recent technology trends in Global Artificial Intelligence (AI) in Retail Market and industry insights to help decision-makers make sound strategic decisions. Furthermore, the report also analyzes the growth drivers, challenges, and competitive dynamics of the market.



Scope of the Report

AttributesDetails
Years ConsideredHistorical Data – 2019–2022
Base Year – 2022
Estimated Year – 2023
Forecast Period – 2023–2029
Facts CoveredRevenue in USD Billion
Market CoverageNorth America, Europe, Asia Pacific (APAC), Latin America, Middle East and Africa (MEA)
Product/ Service SegmentationOffering, Technology, Application, Region
Key PlayersIBM Corporation, Amazon Web Services, Inc., Microsoft Corporation, Salesforce.com, Inc., Symphony RetailAI, RetailNext, Oracle Corporation, Infosys Limited, HCL Technologies Limited, Manthan Software Services Pvt. Ltd., Capillary Technologies, Numenta, Sentient Technologies Holdings Limited

By Offerings

  • Solution
  • Service

By Technology

  • Machine Learning
  • Natural Language Processing (NLP)
  • Computer Vision

By Application

  • Automated Merchandising
  • Programmatic Advertising
  • Market Forecasting
  • In-Store AI & Location Optimization
  • Data Science

By Region

  • North America
  • Europe
  • Asia Pacific (APAC)
  • Latin America
  • Middle East and Africa (MEA)



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