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AI In Retail And E-Commerce Market COVID 19 Outbreak Impact research report added by Report Ocean, is an in-depth analysis of market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography. It places the market within the context of the wider Ai In Retail And E-Commerce market, and compares it with other markets., market definition, regional market opportunity, sales and revenue by region, manufacturing cost analysis, Industrial Chain, market effect factors analysis, Ai In Retail And E-Commerce market size forecast, market data & Graphs and Statistics, Tables, Bar &Pie Charts, and many more for business intelligence. Get a report to understand the structure of the complete Report (Including Full TOC, List of Tables & Figures, Chart). – In-depth Analysis Pre & Post COVID-19 Market Estimates
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Globally’ the retail industry has become more competitive than ever as customers have plenty of choices while buying any product. The retail sector has become much more diverse because every customer has different and customized needs’ which makes it tough for retailers to target a group. AI is now being used by retailers to get real-time and in-depth insights to attract diverse shoppers.
The revolution of AI is changing the customer shopping experience. AI in retail offers several opportunities in the retail space’ as retailers have massive customer data available with them. Retailers can now understand their customers better and provide personalized recommendations’ which help in retaining the customers and open new revenue streams for retailers. Brick and mortar retailers are spending in AI-based solutions to understand their customers better and enhance their shopping experience. The e-commerce industry is using AI to focus on applications such as product recommendations’ search analysis’ analyzing consumer sentiments’ and promotions.
The global AI in retail and e-commerce market is expected to grow at a CAGR of 42.8% during the forecast period 2019-2025 to reach revenue of $19.37 billion by 2025. Various retail and e-commerce companies are investing in digital technologies such as IoT’ AI’ and big data to stay ahead of the competition. AI-based solutions are being adopted by retail and e-commerce companies to enhance the performance and to achieve higher profits & business growth. These solutions are also used for critical decision making around sales and merchandising planning’ pricing strategies’ and product promotions.
Market Segmentation Analysis
The report provides in-depth qualitative insights and validated market forecasts or projections based on certain assumptions and historical data. The projections and trends featured in the report have been derived using proven research methodologies and assumptions based on the vendors’ portfolio’ blogs’ whitepapers’ and vendor presentations. Thus’ the research report represents every side of the market and is segmented based on regional markets’ providers’ applications’ and organization size.
The report covers and analyzes the AI in the retail and e-commerce market. Major vendors across different verticals are planning for high investments in this market’ and as a result’ the market is expected to grow at an impressive rate in the coming years. The key players are adopting various organic as well as inorganic growth strategies such as mergers & acquisitions’ collaborations & partnerships’ joint ventures’ and few other strategies to be in the strong position in the market.
The report contains an in-depth analysis of the vendors’ which includes financial health’ business units’ key business priorities’ SWOT’ strategies’ and views. The prominent vendors covered in the report include IBM’ SAP’ Microsoft’ AWS’ SAS’ JDA Software’ Salesforce’ Symphony RetailAI’ Visenze’ and Infinite Analytics among many others. The vendors have been identified based on the portfolio’ geographical presence’ marketing & distribution channels’ revenue generation’ and significant investments in R&D.
IBM’ SAP’ AWS’ and Microsoft are the key players in the AI in retail and e-commerce market. In 2017′ Godrej Interio’ a leading furniture brand in India’ collaborated with IBM and selected Watson Commerce for increasing customer engagement and experience. Kroger’ one of America’s largest grocery store chain’ and Microsoft partnered in January 2019 for creating high-tech grocery stores. In February 2019′ Sansibar Stores partnered with SAP and is using the SAP Customer Checkout application for monitoring sales in real-time’ offering customized discounts’ time-related prices’ and many more.
The report also includes the complete insights of the industry and aims to provide an opportunity for the emerging and established players to understand the market trends’ current scenario’ initiatives taken by the government’ and the latest technologies related to the market. In addition’ it helps the venture capitalists in understanding the companies better and to take informed decisions.
Europe held the largest market share in 2018 and is projected to dominate the AI in retail and e-commerce market during the forecast period. Retailers in this region are focusing on loyalty programs to make emotional connections with their customers’ by leveraging the power of AI. The growing number of retailers’ partnerships in this region for expanding their services is driving the growth of the market. For example’ IKEA’ a home goods giant’ acquired TaskRabbit’ an online platform that connects skilled taskers with customers. In 2018′ Metro AG’ a Germany-based bricks-and-mortar retailer’ invested in a start-up offering AI-based visual recognition solutions for in-store insights.
The report provides an in-depth analysis of the AI in retail and e-commerce market. Retailers can make the best use of the available data by deploying AI-based solutions for analyzing customer behavior’ buying patterns’ preferences so that personalized recommendations can be offered to them. With data-fueled customer insights’ retailers can create unforgettable experiences for their customers and build long-term customer loyalty. Visual search is helping online as well as instore retailers to enhance revenue by being able to accurately suggest the product that the customers are looking for’ ranging from apparels to household goods & accessories. The report discusses the market in terms of types’ solutions’ applications’ and regions. Further’ the report provides details about the major challenges impacting the market growth.
Key Segments Studied in the Global Ai In Retail And E-Commerce Market:
Professional Key players: IBM’ SAP’ Microsoft’ AWS’ SAS’ JDA Software’ Salesforce’ Symphony RetailAI’ Visenze’ and Infinite Analytics among many others
Geographical Breakdown: Regional level analysis of the market, currently covering North America, Europe, China & Japan
Countries: Argentina; Australia; Austria; Belgium; Brazil; Canada; Chile; China; Colombia; Czech Republic; Denmark; Egypt; Finland; France; Germany; Hong Kong; India; Indonesia; Ireland; Israel; Italy; Japan; Malaysia; Mexico; Netherlands; New Zealand; Nigeria; Norway; Peru; Philippines; Poland; Portugal; Romania; Russia; Saudi Arabia; Singapore; South Africa; South Korea; Spain; Sweden; Switzerland; Thailand; Turkey; UAE; UK; USA; Venezuela; Vietnam
In-Depth Qualitative COVID 19 Outbreak Impact Analysis Include Identification And Investigation Of The Following Aspects: Market Structure, Growth Drivers, Restraints and Challenges, Emerging Product Trends & Market Opportunities, Porter’s Fiver Forces. The report also inspects the financial standing of the leading companies, which includes gross profit, revenue generation, sales volume, sales revenue, manufacturing cost, individual growth rate, and other financial ratios. The report basically gives information about the Market trends, growth factors, limitations, opportunities, challenges, future forecasts, and details about all the key market players.
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Changing Forecasts in a Time of Crisis: explores key issues, including:
Key questions answered: The Study Explore COVID 19 Outbreak Impact Analysis
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Key Points Covered in Ai In Retail And E-Commerce Market Report:
COVID 19 Outbreak Impact Analysis : Chapter 1, to describe Definition, Specifications and Classification of Global Ai In Retail And E-Commerce, Applications of , Market Segment by Regions;
COVID 19 Outbreak Impact Analysis : Chapter 2, to analyze the Manufacturing Cost Structure, Raw Material and Suppliers, Manufacturing Process, Industry Chain Structure;
COVID 19 Outbreak Impact Analysis : Chapter 3, to display the Technical Data and Manufacturing Plants Analysis of , Capacity and Commercial Production Date, Manufacturing Plants Distribution, Export & Import, R&D Status and Technology Source, Raw Materials Sources Analysis;
COVID 19 Outbreak Impact Analysis : Chapter 4, to show the Overall Market Analysis, Capacity Analysis (Company Segment), Sales Analysis (Company Segment), Sales Price Analysis (Company Segment);
COVID 19 Outbreak Impact Analysis : Chapter 5 and 6, to show the Regional Market Analysis that includes United States, EU, Japan, China, India & Southeast Asia, Segment Market Analysis (by Type);
COVID 19 Outbreak Impact Analysis : Chapter 7 and 8, to explore the Market Analysis by Application Major Manufacturers Analysis;
COVID 19 Outbreak Impact Analysis : Chapter 9, Market Trend Analysis, Regional Market Trend, Market Trend by Product Type, Market Trend by Application;
COVID 19 Outbreak Impact Analysis : Chapter 10, Regional Marketing Type Analysis, International Trade Type Analysis, Supply Chain Analysis;
COVID 19 Outbreak Impact Analysis : Chapter 11, to analyze the Consumers Analysis of Global Ai In Retail And E-Commerce by region, type and application;
COVID 19 Outbreak Impact Analysis : Chapter 12, to describe Ai In Retail And E-Commerce Research Findings and Conclusion, Appendix, methodology and data source;
COVID 19 Outbreak Impact Analysis : Chapter 13, 14 and 15, to describe Ai In Retail And E-Commerce sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.
……..and view more in complete table of Contents
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