{"product_id":"artificial-intelligence-in-retail-market-market-segments-by-technology-natural-language-processing-machine-learning-and-deep-learning-and-others-by-deployment-cloud-and-on-premise-by-solution-visual-search-virtual-assistant-product-recommenda","title":"Artificial Intelligence in Retail Market: Market Segments: By Technology (Natural Language Processing, Machine Learning and Deep Learning, and Others); By Deployment (Cloud and On-Premise); By Solution (Visual Search, Virtual Assistant, Product Recommenda","description":"\u003cp\u003eArtificial Intelligence in Retail Market: Market Segments: By Technology (Natural Language Processing, Machine Learning and Deep Learning, and Others); By Deployment (Cloud and On-Premise); By Solution (Visual Search, Virtual Assistant, Product Recommendation and Planning, Price Optimization, Customer Relationship Management and Others); By Application (In-Store Visual Monitoring and Surveillance, Market Forecasting, Predictive Merchandising, Programmatic Advertising and Others); and Region – Global Analysis by Market Size, Share \u0026amp; Trends for 2014 – 2019 and Forecasts to 2030\u003c\/p\u003e\n\n\u003cp\u003eProduct Overview\u003cbr\u003e\nArtificial Intelligence in Retail is used to preserve inventory accuracy, enhance customer service, and improve efficiency. It is primarily used by retailers to strengthen the decision-making process and automate business operations. AI in retail is widely applicable to facilitate trade decisions, predictive analysis, big data automation, and others. The simulation of human intelligence demonstrated by machines, particularly computers, is artificial intelligence (AI), often referred to as machine intelligence. Such procedures include learning, reasoning, and self-correction. In the retail sector, artificial intelligence is used to improve customer service also.\u003c\/p\u003e\n\n\u003cp\u003eMarket Highlights\u003cbr\u003e\nArtificial Intelligence in Retail Market is expected to project a notable CAGR of 37.5% in 2030.\u003cbr\u003e\nArtificial Intelligence in Retail Market to surpass USD 20.5 Billion by 2030 from USD 1.35 Billion in 2019 in terms of value growing at a CAGR of 37.5% throughout the forecast period, i.e., 2020-30. Rising demand for artificial intelligence in the retail industry is a major factor expected to drive the growth of global artificial intelligence in the retail sector in years to come, due to increased investment and increasing business sales opportunities. In addition, growing knowledge of AI as it allows speed, security, and ease of transaction is another factor anticipated to promote artificial intelligence revenue growth in the retail industry. In addition, the rising need to optimize supply chain transactions and preserve inventory accuracy is among some of the other factors that are expected to significantly fuel the growth of artificial intelligence in the retail industry.\u003c\/p\u003e\n\n\u003cp\u003eArtificial Intelligence in Retail Market: Segments\u003cbr\u003e\nCustomer Relationship Management segment to grow with the highest CAGR of XX.X% during 2020-30\u003cbr\u003e\nArtificial Intelligence in the Retail Market is segmented by solutions as Visual Search, Virtual Assistant, Product Recommendation and Planning, Price Optimization, Customer Relationship Management, and Others. The product recommendation and planning segment is estimated to lead the market with a share of over XX.X% in 2019 whereas the CRM segment has the highest CAGR. A very powerful part of the overall shopping cycle for any shopper is product recommendation. AI is used by retailers to give their customers a customized experience and provide suggestions on items they would like to buy by showing specific products. In addition, the most critical technology leading to the highest sales relative to other innovations would remain machine learning and deep learning technology. As one of the artificial solutions in retail that could reshape their companies, many retailers around the world have begun to implement customer behavior monitoring. It enables retailers to engage both online and in-store consumers and provides personalized recommendations.\u003c\/p\u003e\n\n\u003cp\u003ePredictive merchandising Segment to grow with the highest CAGR during 2020-30\u003cbr\u003e\nArtificial Intelligence in the Retail Market is segmented Application into In-Store Visual Monitoring and Surveillance, Market Forecasting, Predictive Merchandising, Programmatic Advertising, and Others. The predictive merchandising segment accounted for the largest revenue share of XX.X% in 2019 which is mainly attributed to the growing need of retailers for gaining valuable insights regarding customer’s motives behind the purchase and their buying pattern behaviors which is enforcing them to adopt predictive merchandising solutions. In addition, in order to retain a competitive advantage in a fast-growing marketplace, these technologies are becoming increasingly important for retail businesses to search for proactive methods of harnessing new and comprehensive data sources. In addition, during the forecast era, the predictive merchandising segment is also expected to see rapid growth, as the technologies enable planners to accurately recognize leftover stock ahead of time. This, in turn, will help boost inventory management, resulting in fewer instances of items that are not sold, contributing to cost savings.\u003c\/p\u003e\n\n\u003cp\u003eArtificial Intelligence in Retail Market: Market Dynamics\u003cbr\u003e\nDrivers\u003cbr\u003e\nGrowing Awareness Regarding AI and Big Data \u0026amp; Analytics\u003cbr\u003e\nIn the retail sector, artificial intelligence revolves around the way corporations have been run for the past few decades. The secret to digital business is artificial intelligence (AI) and big data \u0026amp; analytics, which have the ability to change anything from business processes to customer experience. The overall understanding and acceptance of AI and big data analytics in the retail industry have been growing due to the increasing penetration of smart devices and applications, the proliferation of IoT, the adoption of cloud services, and advances in technology. Various existing retailers around the world are struggling with rising costs, disgruntled customers, decreasing sales, and upstart competition. In order to increase operating performance and improve consumer interactions, this has led retailers to introduce technical instruments. Several areas in the retail industry, such as inventory management, supply chain management, marketing and branding, and management of customer relationships, provide considerable technological transformation opportunities and thus allow retailers to increase overall efficiency and profitability.\u003c\/p\u003e\n\n\u003cp\u003eRestrain\u003cbr\u003e\nGrowing concerns regarding security and privacy\u003cbr\u003e\nA dearth of technical expertise and regulatory standards to minimize counterfeits and breaching of data are factors that may impede the growth of the target market. Failure of technical infrastructure and data breaches along with misuse of personal information can, however, pose a challenge to the growth of Artificial Intelligence in the Retail industry in the forthcoming years.\u003c\/p\u003e\n\n\u003cp\u003eArtificial Intelligence in Retail Market: Key Players\u003cbr\u003e\nAmazon Web Services Inc.\u003c\/p\u003e\n\n\u003cp\u003eCompany Overview, Business Strategy, Key Product Offerings, Financial Performance, Key Performance Indicators, Risk Analysis, Recent Development, Regional Presence, and SWOT Analysis.\u003c\/p\u003e\n\n\u003cp\u003eStyle.ai\u003cbr\u003e\nGoogle LLC\u003cbr\u003e\nDaisy Intelligence\u003cbr\u003e\nIBM Corporation\u003cbr\u003e\nMicrosoft Corporation\u003cbr\u003e\nPlexure Ltd\u003cbr\u003e\nVersium Analytics Inc.\u003cbr\u003e\nFindmine Inc.\u003cbr\u003e\nSAP SE\u003cbr\u003e\nSalesforce.com Inc.\u003cbr\u003e\nConversica Inc.\u003cbr\u003e\nBloomReach Inc.\u003cbr\u003e\nSentient Technologies Holdings Limited\u003cbr\u003e\nFocal Systems Inc.\u003cbr\u003e\nViSenze Pte Ltd\u003cbr\u003e\nArtificial Intelligence in Retail Market: Regions\u003cbr\u003e\nArtificial Intelligence in the Retail Market is segmented based on regional analysis into five major regions. These include North America, Latin America, Europe, Asia Pacific, and Middle East, and Africa.\u003c\/p\u003e\n\n\u003cp\u003eArtificial Intelligence in Retail Market in North America led the market with a lion share of more than XX.X% in 2019 and is projected to maintain its lead over the forecast period in terms of revenue. North America is expected to dominate the market with the largest market share mainly because of the presence of several developed economies, such as the United States and Canada, focusing on enhancing the existing solutions in the retail space. North America is an early adopter of AI technology and hosts the major AI solution providers. The Asia Pacific region, however, is expected to develop rapidly during the forecast period, as the region is experiencing substantial growth on all fronts, including internet connectivity, economic growth, spending potential, and consumer product demand. The growth of e-commerce in countries like China and India and rising investments in AI technology for improved productivity and real-time inventory management are contributing to the growth of the AI market for the retail sector in this area as a result of government initiatives. In addition, the factors such as developing internet \u0026amp; connectivity infrastructure, growing adoption of AI-based solutions \u0026amp; services among retailers, and increasing digitalization are also helping the market growth in this region.\u003c\/p\u003e\n\n\u003cp\u003eCompetitive Landscape:\u003cbr\u003e\nThe Artificial Intelligence in Retail market, which is highly competitive, consists of several major players such as Amazon.com, Inc. (U.S.), Google LLC (U.S.), IBM Corporation (U.S.) hold a substantial market share in the Artificial Intelligence in Retail market. Other players analyzed in this report are Intel Corporation (U.S.), Microsoft Corporation (U.S.), Nvidia Corporation (U.S.), Oracle Corporation (U.S.), SAP SE (Germany), Salesforce.com, Inc. (U.S.), and Bloom Reach, Inc. (U.S.) among others.\u003c\/p\u003e\n\n\u003cp\u003eArtificial Intelligence in Retail Market is further segmented by region into:\u003cbr\u003e\nNorth America Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – United States and Canada\u003cbr\u003e\nLatin America Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – Mexico, Argentina, Brazil, and Rest of Latin America\u003cbr\u003e\nEurope Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – United Kingdom, France, Germany, Italy, Spain, Belgium, Hungary, Luxembourg, Netherlands, Poland, NORDIC, Russia, Turkey, and Rest of Europe\u003cbr\u003e\nAPAC Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – India, China, South Korea, Japan, Malaysia, Indonesia, New Zealand, Australia, and Rest of APAC\u003cbr\u003e\nMENA Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – North Africa, Israel, GCC, South Africa, and Rest of MENA\u003cbr\u003e\nArtificial Intelligence in Retail Market report also contains analysis on:\u003cbr\u003e\nArtificial Intelligence in Retail Market Segments:\u003c\/p\u003e\n\n\u003cp\u003eBy Technology:\u003cbr\u003e\nNatural Language Processing\u003cbr\u003e\nMachine Learning and Deep Learning\u003cbr\u003e\nOthers\u003cbr\u003e\nBy Deployment:\u003cbr\u003e\nCloud\u003cbr\u003e\nOn-Premise\u003cbr\u003e\nBy Solution:\u003cbr\u003e\nVisual Search\u003cbr\u003e\nVirtual Assistant\u003cbr\u003e\nProduct Recommendation and Planning\u003cbr\u003e\nPrice Optimization\u003cbr\u003e\nCustomer Relationship Management\u003cbr\u003e\nOthers\u003cbr\u003e\nBy Application:\u003cbr\u003e\nIn-Store Visual Monitoring and Surveillance\u003cbr\u003e\nMarket Forecasting\u003cbr\u003e\nPredictive Merchandising\u003cbr\u003e\nProgrammatic Advertising \u003cbr\u003e\nArtificial Intelligence in Retail Market Dynamics\u003cbr\u003e\nArtificial Intelligence in Retail Market Size\u003cbr\u003e\nSupply \u0026amp; Demand\u003cbr\u003e\nCurrent Trends\/Issues\/Challenges\u003cbr\u003e\nCompetition \u0026amp; Companies Involved in the Market\u003cbr\u003e\nValue Chain of the Market\u003cbr\u003e\nMarket Drivers and Restraints\u003cbr\u003e\nFAQs on Artificial Intelligence in Retail Market\u003cbr\u003e\nWhich segment is anticipated to hold the largest market share?\u003cbr\u003e\nAt what CAGR is the market anticipated to grow between 2020 and 2030?\u003cbr\u003e\nWho are the key players in Artificial Intelligence in the Retail Market?\u003cbr\u003e\nWhat could be the challenging factors in the growth of Artificial Intelligence in the Retail Market?\u003cbr\u003e\nWhat are the growth drivers for Artificial Intelligence in the Retail Market?\u003c\/p\u003e","brand":"Marketing \u0026 Market Research","offers":[{"title":"June, 2022 \/ 157 Pages \/ MCW16257921","offer_id":47678596055346,"sku":null,"price":5940.0,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.hardmanwell.com\/products\/artificial-intelligence-in-retail-market-market-segments-by-technology-natural-language-processing-machine-learning-and-deep-learning-and-others-by-deployment-cloud-and-on-premise-by-solution-visual-search-virtual-assistant-product-recommenda","provider":"HARDMAN AND WELL MANAGEMENT CONSULTANCIES L.L.C","version":"1.0","type":"link"}