Press release
Artificial Intelligence in Retail Market Growth Factors 2018-2025 Analysed by End Users & Key Companies - IBM, Microsoft, Nvidia, Amazon Web Services, Oracle, SAP, Intel, Google, Sentient Technologies, Salesforce, Visenze
Artificial Intelligence in Retail Market
This report focuses on the global Artificial Intelligence in Retail status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Artificial Intelligence in Retail development in United States, Europe and China. In 2017, the global Artificial Intelligence in Retail market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2018-2025.
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The following manufacturers are covered in this report, with sales, revenue, and market share for each company: IBM, Microsoft, Nvidia, Amazon Web Services, Oracle, SAP, Intel, Google, Sentient Technologies, Salesforce, Visenze and others.
o Market size by Product -
• Cloud
• On-Premises
o Market size by End User/Applications -
• Predictive Merchandising
• Programmatic Advertising
• Market Forecasting
• In-Store Visual Monitoring and Surveillance
• Location-Based Marketing
• Others
o Market size by Region
• North America
• Europe
• China
• Japan
• Southeast Asia
• India
• Central & South America
o The study objectives of this report are:
• To analyze global Artificial Intelligence in Retail status, future forecast, growth opportunity, key market and key players.
• To present the Artificial Intelligence in Retail development in United States, Europe and China.
• To strategically profile the key players and comprehensively analyze their development plan and strategies.
• To define, describe and forecast the market by product type, market and key regions.
Continue Reading the Full Report at: https://decisionmarketreports.com/market-reports/871769/global-artificial-intelligence-in-retail-market
Table of Contents:
1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered
1.4 Market Analysis by Type
1.4.1 Global Artificial Intelligence in Retail Market Size Growth Rate by Type (2013-2025)
1.5 Market by Application
1.5.1 Global Artificial Intelligence in Retail Market Share by Application (2013-2025)
1.6 Study Objectives
1.7 Years Considered
2 Global Growth Trends
2.1 Artificial Intelligence in Retail Market Size
2.2 Artificial Intelligence in Retail Growth Trends by Regions
2.2.1 Artificial Intelligence in Retail Market Size by Regions (2013-2025)
2.2.2 Artificial Intelligence in Retail Market Share by Regions (2013-2018)
2.3 Industry Trends
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Opportunities
3 Market Share by Key Players
3.1 Artificial Intelligence in Retail Market Size by Manufacturers
3.1.1 Global Artificial Intelligence in Retail Revenue by Manufacturers (2013-2018)
3.1.2 Global Artificial Intelligence in Retail Revenue Market Share by Manufacturers (2013-2018)
3.1.3 Global Artificial Intelligence in Retail Market Concentration Ratio (CR5 and HHI)
3.2 Artificial Intelligence in Retail Key Players Head office and Area Served
3.3 Key Players Artificial Intelligence in Retail Product/Solution/Service
3.4 Date of Enter into Artificial Intelligence in Retail Market
3.5 Mergers & Acquisitions, Expansion Plans
4 Breakdown Data by Type and Application
4.1 Global Artificial Intelligence in Retail Market Size by Type (2013-2018)
4.2 Global Artificial Intelligence in Retail Market Size by Application (2013-2018)
5 United States
6 Europe
7 China
8 Japan
9 Southeast Asia
10 India
11 Central & South America
12 International Players Profiles
13 Market Forecast 2018-2025
13.1 Market Size Forecast by Regions
13.9 Market Size Forecast by Product (2018-2025)
13.10 Market Size Forecast by Application (2018-2025)
In this study, the years considered to estimate the market size of Artificial Intelligence in Retail are as follows:
• History Year: 2013-2017
• Base Year: 2017
• Estimated Year: 2018
• Forecast Year 2018 to 2025
For the data information by region, company, type and application, 2017 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
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