Reportsbuzz added a new latest industry research report that focuses on “Artificial Intelligence in Retail market ” and provides in-depth Global Artificial Intelligence in Retail market analysis and future prospects of Artificial Intelligence in Retail market 2017. The research study covers significant data which makes the document a handy resource for managers, analysts, industry experts and other key people get ready-to-access and self-analyzed study along with graphs and tables to help understand market trends, drivers and market challenges. The research study is segmented by Application/ end users Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, Others, products type Cloud, On-Premises and geographies like United States, China, Europe, Japan, Korea & Taiwan.
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The research covers the current market size of the Global Artificial Intelligence in Retail market and its growth rates based on 5 year history data along with company profile of key players/manufacturers such as IBM, Microsoft, Nvidia, Amazon Web Services, Oracle, SAP, Intel, Google, Sentient Technologies, Salesforce, Visenze. The in-depth information by segments of Artificial Intelligence in Retail market helps monitor future profitability & to make critical decisions for growth. The information on trends and developments, focuses on markets and materials, capacities, technologies, CAPEX cycle and the changing structure of the Global Artificial Intelligence in Retail Market.
The study provides company profiling, product picture and specifications, sales, market share and contact information of key manufacturers of Global Artificial Intelligence in Retail Market, some of them listed here are IBM, Microsoft, Nvidia, Amazon Web Services, Oracle, SAP, Intel, Google, Sentient Technologies, Salesforce, Visenze. The market is growing at a very rapid pace and with rise in technological innovation, competition and M&A activities in the industry many local and regional vendors are offering specific application products for varied end-users. The new manufacturer entrants in the market are finding it hard to compete with the international vendors based on quality, reliability, and innovations in technology.
Global Artificial Intelligence in Retail (Thousands Units) and Revenue (Million USD) Market Split by Product Type such as Cloud, On-Premises. Further the research study is segmented by Application & Other with historical and projected market share and compounded annual growth rate.
Geographically, this report is segmented into several key Regions, with production, consumption, revenue (million USD), and market share and growth rate of Artificial Intelligence in Retail in these regions, from 2012 to 2022 (forecast), covering United States, China, Europe, Japan, Korea & Taiwan and its Share (%) and CAGR for the forecasted period 2017 to 2022.
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What this Research Study Offers:
1. Global Artificial Intelligence in Retail Market share assessments for the regional and country level segments
2. Market share analysis of the top industry players
3. Strategic recommendations for the new entrants
4. Market forecasts for a minimum of 5 years of all the mentioned segments, sub segments and the regional markets
5. Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
6. Strategic recommendations in key business segments based on the market estimations
7. Competitive landscaping mapping the key common trends
8. Company profiling with detailed strategies, financials, and recent developments
9. Supply chain trends mapping the latest technological advancements
There are 15 Chapters to display the Global Artificial Intelligence in Retail market
Chapter 1, Definition, Specifications and Classification of Artificial Intelligence in Retail , Applications of Artificial Intelligence in Retail , Market Segment by Regions;
Chapter 2, Manufacturing Cost Structure, Raw Material and Suppliers, Manufacturing Process, Industry Chain Structure;
Chapter 3, Technical Data and Manufacturing Plants Analysis of Artificial Intelligence in Retail , Capacity and Commercial Production Date, Manufacturing Plants Distribution, R&D Status and Technology Source, Raw Materials Sources Analysis;
Chapter 4, Overall Market Analysis, Capacity Analysis (Company Segment), Sales Analysis (Company Segment), Sales Price Analysis (Company Segment);
Chapter 5 and 6, Regional Market Analysis that includes United States, China, Europe, Japan, Korea & Taiwan, Artificial Intelligence in Retail Segment Market Analysis (by Type);
Chapter 7 and 8, The Artificial Intelligence in Retail Segment Market Analysis (by Application) Major Manufacturers Analysis of Artificial Intelligence in Retail ;
Chapter 9, Market Trend Analysis, Regional Market Trend, Market Trend by Product Type Cloud, On-Premises, Market Trend by Application Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, Others;
Chapter 10, Regional Marketing Type Analysis, International Trade Type Analysis, Supply Chain Analysis;
Chapter 11, The Consumers Analysis of Global Artificial Intelligence in Retail ;
Chapter 12, Artificial Intelligence in Retail Research Findings and Conclusion, Appendix, methodology and data source;
Chapter 13, 14 and 15, Artificial Intelligence in Retail sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.
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