Artificial Intelligence in Retail Market is expected to reach US $ 19900 Mn by 2026, at a CAGR of 35% during the forecast period.
Artificial Intelligence in Retail Market Overview:
The competitive landscape of the Artificial Intelligence in Retail Market includes information about competitors. The contents include a corporate overview, financials, revenue generated, market potential, investment in research and development, new market efforts, geographical presence, firm strengths and weaknesses, product introduction, and application dominance. The preceding data points are solely relevant to the businesses' focus on the Artificial Intelligence in Retail market.
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Artificial Intelligence in Retail Market Scope:
This Artificial Intelligence in Retail market report discusses new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, the impact of domestic and localized market players, opportunities in terms of emerging revenue streams, changes in market regulations, strategic market growth analysis, market size, segmented market growth, application niches, and dominance, product approvals, product launches, geographic expansion For more information on the Artificial Intelligence in Retail market, please contact Maximize Market Research for an Analyst Brief; our experts will assist you in making an informed market choice to achieve market growth.
Artificial Intelligence in Retail Market Segmentation:
Global Artificial Intelligence in Retail Market by Services:
• Professional Services
• Managed Services
Global Artificial Intelligence in Retail Market by Deployment Mode:
• Cloud
• On-Premises
Global Artificial Intelligence in Retail Market by Application:
• Predictive Merchandising
• Programmatic Advertising
• Market Forecasting
• In-Store Visual Monitoring and Surveillance
• Location-Based Marketing
• Other
The report's solution segment includes supply chain management & demand planning, website and content optimisation, space planning, fraud detection, visual search, virtual assistant, price optimisation, payment services management, and product recommendation & planning. The services section divides services into professional and managed services. The application segment covers predictive merchandising, programmatic advertising, market forecasting, in-store visual monitoring and surveillance, location-based marketing, and others, while deployment mode also includes cloud and on-premise deployment.
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Artificial Intelligence in Retail Market Key Players: The following are the key players of the Artificial Intelligence in Retail market-
• IBM Corporation
• Microsoft Corporation
• Amazon Web Services
• Oracle
• SAP
• Google Inc.
• NVIDIA Corporation
• Intel Corporation
• Sentient Technologies
• Numenta Inc.
• Salesforce
• ViSenze
• Inbenta Technologies
• Interactions LLC
• Lexalytics Inc.
• Baidu Inc.
• BloomReach Inc.
• CognitiveScale Inc.
• NEXT IT Corp.
• RetailNext Inc.
• Salesforce.com Inc.
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Artificial Intelligence in Retail Market Regional Analysis:
The geographical section of the research also includes individual market influencing variables and changes in market regulations that effect current and future market trends. Data points such as downstream and upstream value chain analysis, technology trends, porter's five forces analysis, and case studies are only a few of the indicators used to forecast market scenarios for various countries.
COVID-19 Impact Analysis on Artificial Intelligence in Retail Market: The research also addresses the impact of COVID-19 on the Artificial Intelligence in Retail market. The basic purpose of this study is to help the user understand the market in terms of definition, segmentation, market potential, noteworthy trends, and the issues that the industry is facing across key regions. The study provides micro and macroeconomic analysis of the total impact of COVID-19 on the Artificial Intelligence in Retail Market. The specific analysis focuses on market share and size, which clearly demonstrates the influence that the pandemic has had and will have on the worldwide Artificial Intelligence in Retail Market in the next years.
Key Questions Answered in the Artificial Intelligence in Retail Market Report are:
- What will be the CAGR of the Artificial Intelligence in Retail market during the forecast period (2021-2027)?
- Which segment emerged as the leading segment in the Artificial Intelligence in Retail market?
- Which are the prominent players in the Artificial Intelligence in Retail market?
- What key trends are likely to emerge in the Artificial Intelligence in Retail market in the forecast period?
- What will be the Artificial Intelligence in Retail market size by 2027?
- Which company held the largest share in the Artificial Intelligence in Retail market in 2020?
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According to a new market research report " Artificial Intelligence in Retail Market by Type (Online, Offline), Technology (Machine Learning and Deep Learning, NLP), Solution, Service (Professional, Managed), Deployment Mode (Cloud, On-Premises), Application, Region - Global Forecast to 2022", published by MarketsandMarkets™, The AI in retail market size is expected to grow from USD 993.6 Million in 2017 to USD 5,034.0 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 38.3%.The key factors driving the growth of the AI in retail market include the increasing need to streamline omnichannel retailing and customer turnover.Browse and in-depth TOC on “Artificial Intelligence in Retail Market”61 - Tables32 - Figures138 - Pages Ask for PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=36255973Major Key Companies:The major vendors providing AI in retail solutions and services include Microsoft (US), Google (US), IBM (US), NVIDIA (US), Intel (US), Oracle (US), Sentient Technologies (US), Salesforce (US), Amazon Web Services (US), SAP (Germany), Inbenta Technologies (US), Nuance Communications (US), SAMSUNG (South Korea), Narrative Science (US), Daisy Intelligence (Canada), Infosys (India), Wipro (India), Happiest Minds (India), MicroStrategy (US), Dynamic Yield (US), IPsoft (US), Appier.com (Taiwan), ViSenze (Singapore), Manthan Software Services (India), and Optoro (US).The machine learning and deep learning technology is expected to have the largest market share during the forecast period.Among the technologies, the machine learning and deep learning segment is expected to have the largest market share during the forecast period.
Organizations in the retail industry are using the machine learning and deep learning technology to offer a more personalized experience to the end-users as well as to provide an interactive environment to them.
This is mainly because of the presence of several developed economies, such as the United States (US) and Canada, and the region’s focus on enhancing the existing solutions.
Many retailers in this region have deployed AI-based solutions to optimize their supply chain operations and inventory.
The increasing technology spending in countries such as China and India and the demand for cost-effective, advanced AI-based solutions and services among the retail industry are expected to drive the APAC market growth during the forecast period.Browse Complete Report @ https://www.marketsandmarkets.com/Market-Reports/artificial-intelligence-ai-retail-market-36255973.htmlKey Target Audience:AI in retail solutions, platforms, and service providersResearch organizations and consulting companiesInformation security directors/managersGovernment organizationsConsultants/advisory firmsManaged service providersAI system providersVenture capitalists, private equity firms, and startup companiesAI in retail application buildersAbout MarketsandMarkets™MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies’ revenues.
Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients.
With the rise of the organized retail sector, the use of AI has to increase in this sector.
The global artificial intelligence in the retail market, as published in a report by Market Research Future (MRFR), claims that this market could anticipate aggrandizement at 34% CAGR between 2017 and 2023.
In terms of money, the market can be worth USD 7 Bn by the end of the forecast period.One of the major market driving factors for the global artificial intelligence in retail market growth is the advancement in big data due to which adoption of artificial intelligence-enabled devices and services is increasing across different domains.
Other important markets driving factors include the expansion of human-aware artificial intelligence systems, effective logistics & product delivery, low-cost operations, growing need for surveillance & monitoring at a brick & mortar store, high productivity, higher return on investment (RoI), improved user experience, and the growing scope of AI technologies.
As per the technology-based segmentation, the artificial intelligence in retail market covers deep learning, facial recognition, natural language processing, neural networks, and voice assistance.Regarding components, the artificial intelligence in retail market has been segmented into services and solution.
The services segment has been sub-segmented into managed services, professional services, installation services, and maintenance services.
