Press release
Global Artificial Intelligence In Retail Market 2018: Market Size By Component, Services, Technology And Applications, Industry Analysis By Regional Look, Competitors, Market Growth Potential And Forecast Till 2023
Artificial intelligence, characterized as knowledge displayed by machines, has numerous applications in the present society. All the more particularly, it is Weak AI, the type of A.I. where programs are produced to perform particular assignments, that is being used for an extensive variety of exercises including therapeutic finding, electronic exchanging, robot control, and remote detecting. AI has been utilized to create and propel various fields and enterprises, including fund, medicinal services, instruction, transportation, and that's only the tip of the iceberg. AI for Good is a development in which establishments are utilizing AI to handle a portion of the world's most prominent financial and social difficulties. For instance, the University of Southern California propelled the Center for Artificial Intelligence in Society, with the objective of utilizing AI to address socially applicable issues, for example, vagrancy. At Stanford, scientists are utilizing AI to dissect satellite pictures to distinguish which territories have the most elevated destitution levels.
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Top key players:
IBM, Microsoft, Nvidia, Amazon Web Services, Oracle, SAP, Intel, Google, Sentient Technologies, Salesforce, Visenze.
The major classification is done based on the scope and product overview of the global artificial intelligence in retail market. In the succeeding sections, a factual study of the sales of the product have been studied in different areas such as Europe, North America, Southeast Asia, China, Japan, and India. Similarly, the most lucrative regions in the market have been presented coupled with their growth prospects by the end of 2023. The regional segmentation comprehends the key manufacturers and the price trend in sales of global artificial intelligence in retail in each of these areas, and has been analyzed under the geographical segmentation section of study. The global artificial intelligence in retail market which was accounted for US$ XX billion in 2018, is anticipated to reach US$ XX billion by 2023, growing at a CAGR of XX% amid the forecast time frame of 2018-2023. The US market alone is anticipated to be worth $XX billion in 2023, accounting for XX% of the overall artificial intelligence in retail market.
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Under the overall analysis of the global artificial intelligence in retail market, the researchers have shed light on sales price, sales, and capacity factors. The sales price analysis of the global market has been offered for the year 2018 based on the industry segments. However, a five-year review period has been taken into consideration for assessing global sales price. Commodity sales and other capacity factors have been included featuring the evaluation of the growth rate. Five key geographies across the world have been assessed in the report, viz., Asia-Pacific, Europe, India, Japan, China, Middle East & Africa, Latin America and North America. The progress of each of these countries and regions has been examined on the basis of share, price, local consumption, export, import, and local supply. Besides this, the report has provided a basic overview of all these geographies. The researchers have also discussed the development trend of the global artificial intelligence in retail market while taking into account price, volume, and value forecast, product type (cloud and on premises) and applications (predictive merchandising, programmatic advertising, market forecasting, in-store visual monitoring and surveillance, location based marketing and others), trends, and consumption in different geographical market.
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Table of content:
The global artificial intelligence in retail market report contains:
1. Global artificial intelligence in retail market overview
2. Global artificial intelligence in retail market competition by manufacturers, type and application
3. USA/China/Japan/Europe/India and Southeast Asia are the regional analysis of artificial intelligence in retail (volume, value and sales price)
4. Analysis of global artificial intelligence in retail by manufacturer
5. Artificial intelligence in retail manufacturing cost analysis
6. Industrial chain, sourcing strategy and downstream buyers
7. Marketing strategy analysis, distributors/traders
8. Market effect factors analysis
9. Global artificial intelligence in retail market forecast (2018-2023)
10. Conclusion of the global artificial intelligence in retail market
11. Appendix
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