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Global Artificial Intelligence (AI) in Retail Market Size, Share, Trends, Industry Statistics Report, By Type (Online and Offline); By Technology (Machine Learning and Deep Learning, Natural Language Processing, Others (Analytics and Process Automation)); By Solution (Product Recommendation and Planning, Customer Relationship Management, Visual Search, Virtual Assistant, Price Optimization, Payment Services Management, Supply Chain Management and Demand Planning, Others); By Services (Professional Services, Managed Services); By Deployment Model (Cloud, On-Premises); By Application (Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, Other); Regional Analysis (North America - U.S, Canada, Other) (Asia-Pacific - India, Japan, China, South Korea, Japan, Australia, and Other) (Europe - U.K., Germany, Netherlands, Lithuania, Austria, Belgium, Poland, Sweden, Spain, France, Russia and Other) (Middle East - Saudi Arabia, UAE and Africa - South Africa, Zimbabwe and RoW) - Global Industry Insights, Trends and Forecast, 2019-2025

Report Format : PDF
Published Date : Dec-2018
Pages : 180
Report ID : VSR001789

Global Artificial Intelligence (AI) in Retail Market Size is estimated to expand rapidly in coming years, at a CAGR of 38.5 % from 2018 to 2025. In 2017, the global market valuation was USD 0.95 billion, and it is anticipated to be greater than USD xx.xx billion by 2025. In marketing, electronic commerce, brand governance and other fields of the company, AI will lead to quicker decision making by reducing the distance between insight and intervention. The most important market share over the forecast period is anticipated for machine learning and deep learning technologies. Retail organizations use a mputer and deep learning technology to provide end customers with more personalized knowledge and an engaging atmosphere. Furthermore, the increasing pattern of technology acceptance can be linked to the need to streamline retail businesses, minimize attempts, and mainly increase sales for e-commerce distributors.

Every part of the sector covers the use of artificial intelligence in retail. AI can assistance address these challenges in the il room, be it the aim of optimizing the supply chain, utilizing current information for increasing transformation or personalizing purchasing habits with predictor modeling and micro-targeting or pricing. AI's sharper forecasting instruments are provided for distributors to assist them to decide intelligently. The use of algorithms makes the ROI visible and outcomes like reduced expenses and greater revenues are reflected in. By enhancing effectiveness and forecasting, AI has introduced actual disturbance to the retail industry.

Global Market Growth Opportunities (Revenue, Growth) By 2017-2025

Global Artificial Intelligence (AI) in Retail Market Size, Share, Trends, Industry Statistics Report

This global market study report analysis offers in-depth insights, revenue details, and other vital information regarding the global artificial intelligence in retail market, and the various trends, drivers, restraints, opportunities, and threats in the target market till 2025. The report offers insightful and detailed information regarding the various key players operating in the market, their financials, supply chain trends, technological innovations, key developments, apart from future strategies, acquisitions & mergers, and market footprint. The global artificial intelligence in retail market report has been segmented on the basis of type, application, and region. It includes the estimation of the market size, in terms of value, with respect to 4 main geographies, namely, North America, Europe, APAC, and RoW.

Segment Analysis

By Solution Insights: On the basis of solution, global artificial intelligence in retail market has been segmented into product recommendation and planning, customer relationship management, visual search, virtual assistant, price optimization, payment services management, supply chain management and demand planning, others. Among which product recommendation and planning is expected to be the highest growing segment in the global market of use of AI in retail market. Recommendation of products is an extremely strong element of shopper’s general process. eRetailers use AI to provide their clients with personalized knowledge and suggestions for products they want to buy through the display of the appropriate products. Machine learning and technology for deep learning will continue to be the most important technology that contributes to the greatest income relative with other techniques.

By Application Insights: On the basis of application, global artificial intelligence in retail market has been segmented into predictive merchandising, programmatic advertising, market forecasting, in-store visual monitoring and surveillance, location-based marketing, other. Among which programmatic advertising segment is expected to be the highest growing segment in the global market of AI in retail sector. Retailers are increasingly competitive, with businesses finding fresh methods to attract clients through the implementation of sophisticated advertising policies. "Precision Targeting" is a priority for companies to send correct emails, to increase sales and to decrease the cost of advertisement. In addition, the requirement for programmatic advertising is also motivated by increased purchases in digital marketing by distributors.

Regional Analysis

The artificial intelligence in retail market is divided into regions that are North America - U.S, Canada, Other; Asia-Pacific -India, Japan, China, Australia, Other; Europe - UK, Russia, France, Brazil, Other; Middle East and Africa. Every region analysis details in sense of growth, revenue, volume, challenges, and opportunities with the regional and global key players.

The biggest market share of North America is anticipated to dominate the business, primarily in view of the existence of several developed economies, such as the US and Canada, which are focused on the improvement of retail alternatives. North America is the principal provider of AI solutions and an early adopter of AI technology. Due to the increased acceptance of AI-based alternatives and facilities by distributors, the APAC region is anticipated to develop in the largest CAGR over the forecast period.

Global Artificial Intelligence in Retail Market Size, Share Analysis by Region 2018

Global Artificial Intelligence (AI) in Retail Market Size, Share, Trends, Industry Statistics Report

Global Artificial Intelligence in Retail Market Study Objective

1. To forecast the market size of artificial intelligence in retail market, along with describing and defining the market, in terms of volume and revenue as well as market opportunities for stakeholders, in order to provide a competitive landscape for global market players.

2. Market analysis and forecast of artificial intelligence in retail market on the basis of region, substrate, and application or end-use industry. To profile major market players, and to analyze their market shares and essential competencies comprehensively.

3. To analyze and elaborate significant factors that will have a major impact on the growth of artificial intelligence in retail market, such as drivers, restraints, challenges, and opportunities.

4. The regional analysis of artificial intelligence in retail market, to induce market size of five global major regions, which include, Europe, North America, South America, Middle East & Africa, and the Asia Pacific.

5. Strategic analysis of micro-markets, in terms of individual prospects, opportunities, growth trends and their involvement in the overall market.

6. To provide detailed analysis of competitive and strategic developments in the artificial intelligence in retail market like a new product launch, partnership & agreement, investment & expansion, and company merger & acquisitions.

Key Players Landscape

AWS, Baidu, BloomReach., CognitiveScale., Google, Inbenta Technologies, Intel, Interactions, Lexalytics., Microsoft, NEXT IT., Nvidia, Oracle, RetailNext, Salesforce.com., SAP, Sentient Technologies, and Visenze are some of the key players in the market of artificial intelligence in retail. Other AI retail stakeholders include suppliers, study organizations, network and system integrators, AI-managed business suppliers, application suppliers of Business Intelligence (BI), marketing analytics managers, third party service suppliers, and technology suppliers.

Global Artificial Intelligence in Retail Market Study Report Offer You!

The global artificial intelligence in retail market study report gives an idea about market size, share, stock, equity, investment and total price analysis. Also, the report provides comprehensively industry insights with all major factors such as market credit, allocation, demand, distribution, market scope, key players, end-user & applications, provisions, livestock, commodities and industry economics analysis, future growth & forecast. The global market report includes all depth data like pre-market emphasis, market survey, market investment, industry advice, portfolio, finance, access, trade, market exploration, industry review and market predication & projection to develop effective strategies for optimizing their market position.

Enquiry for Table of Content

Global Artificial Intelligence (AI) in Retail Market Size, Share, Trends, Industry Statistics Report, By Type (Online and Offline); By Technology (Machine Learning and Deep Learning, Natural Language Processing, Others (Analytics and Process Automation)); By Solution (Product Recommendation and Planning, Customer Relationship Management, Visual Search, Virtual Assistant, Price Optimization, Payment Services Management, Supply Chain Management and Demand Planning, Others); By Services (Professional Services, Managed Services); By Deployment Model (Cloud, On-Premises); By Application (Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, Other); Regional Analysis (North America - U.S, Canada, Other) (Asia-Pacific - India, Japan, China, South Korea, Japan, Australia, and Other) (Europe - U.K., Germany, Netherlands, Lithuania, Austria, Belgium, Poland, Sweden, Spain, France, Russia and Other) (Middle East - Saudi Arabia, UAE and Africa - South Africa, Zimbabwe and RoW) - Global Industry Insights, Trends and Forecast, 2019-2025

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Global Artificial Intelligence (AI) in Retail Market Size, Share, Trends, Industry Statistics Report, By Type (Online and Offline); By Technology (Machine Learning and Deep Learning, Natural Language Processing, Others (Analytics and Process Automation)); By Solution (Product Recommendation and Planning, Customer Relationship Management, Visual Search, Virtual Assistant, Price Optimization, Payment Services Management, Supply Chain Management and Demand Planning, Others); By Services (Professional Services, Managed Services); By Deployment Model (Cloud, On-Premises); By Application (Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, Other); Regional Analysis (North America - U.S, Canada, Other) (Asia-Pacific - India, Japan, China, South Korea, Japan, Australia, and Other) (Europe - U.K., Germany, Netherlands, Lithuania, Austria, Belgium, Poland, Sweden, Spain, France, Russia and Other) (Middle East - Saudi Arabia, UAE and Africa - South Africa, Zimbabwe and RoW) - Global Industry Insights, Trends and Forecast, 2019-2025

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