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Global Artificial Intelligence in Retail Market By Type( Cloud, On-Premises ), By Application ( Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, Others ), By Region, and Key Companies - Industry Segment Outlook, Market Assessment, Competition Scenario, Trends and Forecast 2020-2029
  • Report ID 134093
  • Published Date 17-Oct
  • Delivery Format PDF/PPT/Word
  • Editor's Rating
  • Report Details 
    Global Artificial Intelligence in Retail Market is estimated to be valued US$ XX.X million in 2019. The report on Artificial Intelligence in Retail Market provides qualitative as well as quantitative analysis in terms of market dynamics, competition scenarios, opportunity analysis, market growth, etc. for the forecast year up to 2029. The global artificial intelligence in retail market is segmented on the basis of Type, Application and geography.
    

    Europe market was valued at US$ XX.X million in 2018 and is projected to reach US$ XX.X million in 2029, and register a CAGR of X.X% during the forecast period, according to a new Market.us (Prudour Research) study.
    

    Artificial Intelligence in Retail Market Scope:
    

    By type, the market is segmented into Cloud, and On-Premises. By Application, the market is divided into Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, and Others.
    
Based on geography, the market is analyzed across North America, Europe, Asia-Pacific, Latin America, and Middle East and Africa. Major players profiled in the report include IBM, Microsoft, Nvidia, Amazon Web Services, Oracle, SAP, Intel, Google, Sentient Technologies, Salesforce, and Visenze.
    

    Key Market Segments
    

    Type
    

     Cloud
    

     On-Premises
    

    Application
    

     Predictive Merchandising
    

     Programmatic Advertising
    

     Market Forecasting
    

     In-Store Visual Monitoring and Surveillance
    

     Location-Based Marketing
    

     Others
    

    Key Market Players included in the report:
    

     IBM
    

     Microsoft
    

     Nvidia
    

     Amazon Web Services
    

     Oracle
    

     SAP
    

     Intel
    

     Google
    

     Sentient Technologies
    

     Salesforce
    

     Visenze
    

    Reasons to Get this Report:
    

    In an insight outlook, this research report has dedicated to several quantities of analysis – industry research (global industry trends) and Artificial Intelligence in Retail Market share analysis of high players, along with company profiles, and which collectively include about the fundamental opinions regarding the market landscape; emerging and high-growth sections of Artificial Intelligence in Retail Market; high-growth regions; and market drivers, restraints, and also market chances.
    
The analysis covers Artificial Intelligence in Retail Market and its advancements across different industry verticals as well as regions. It targets estimating the current market size and growth potential of the global Artificial Intelligence in Retail Market across sections such as also Application and representatives.
    
Additionally, the analysis also has a comprehensive review of the crucial players on the Artificial Intelligence in Retail Market together side their company profiles, SWOT analysis, latest advancements, and business plans.
    

    The analysis objectives of the report are:
    

     To equitably share in-depth info regarding the crucial elements impacting the increase of industry (growth capacity, chances, drivers, and industry-specific challenges and risks).
    
 To know the Artificial Intelligence in Retail Market by pinpointing its many subsegments.
    
 To profile the important players and analyze their growth plans.
    
 To endeavor the amount and value of Artificial Intelligence in Retail sub-markets, depending on key regions (various vital states).
    
 To analyze Artificial Intelligence in Retail Market concerning growth trends, prospects, and also their participation in the entire sector.
    
 To examine and study the Artificial Intelligence in Retail Market size (volume & value) from the company, essential regions/countries, products, and Application, background information from 2013 to 2018, and also prediction to 2029.
    
 Primary worldwide Artificial Intelligence in Retail Market manufacturing companies, to specify, clarify and analyze the product sales amount, value and market share, market rivalry landscape, SWOT analysis and development plans next coming years.
    
 To examine competitive progress such as expansions, arrangements, new product launches, and acquisitions on the market.
  • Table Of Content

    1. Artificial Intelligence in Retail Market Introduction

    1.1. Definition
    1.2. Taxonomy
    1.3. Research Scope2. Executive Summary

    2.1. Key Findings by Major Segments
    2.2. Top strategies by Major Players3. Global Artificial Intelligence in Retail Market Overview

    3.1. Artificial Intelligence in Retail Market Dynamics

    3.1.1. Drivers
    3.1.2. Opportunities
    3.1.3. Restraints
    3.1.4. Challenges 3.2. PESTLE Analysis
    3.3. Opportunity Map Analysis
    3.4. PORTER’S Five Forces Analysis
    3.5. Market Competition Scenario Analysis
    3.6. Product Life Cycle Analysis
    3.7. Opportunity Orbits
    3.8. Production Analysis by Region/Company
    3.9. Industry chain Analysis
    3.10. Marketing Strategy4. Global Artificial Intelligence in Retail Market Value & Volume ((US$ Mn & ‘000 Units)), Share (%), and Growth Rate (%) Comparison by Type, 2012-2028

    4.1. Global Artificial Intelligence in Retail Market Analysis by Type: Introduction
    4.2. Market Size and Forecast by Region
    4.3. Cloud

    4.4. On-Premises5. Global Artificial Intelligence in Retail Market Value & Volume ((US$ Mn & ‘000 Units)), Share (%), and Growth Rate (%) Comparison by Application, 2012-2028

    5.1. Global Artificial Intelligence in Retail Market Analysis by Application: Introduction
    5.2. Market Size and Forecast by Region
    5.3. Predictive Merchandising

    5.4. Programmatic Advertising

    5.5. Market Forecasting

    5.6. In-Store Visual Monitoring and Surveillance

    5.7. Location-Based Marketing

    5.8. Others6. Global Artificial Intelligence in Retail Market Value & Volume ((US$ Mn & ‘000 Units)), Share (%), and Growth Rate (%) Comparison by Region, 2012-2028

    6.1. North America

    6.1.1. North America Artificial Intelligence in Retail Market: Regional Trend Analysis

    6.1.1.1. US
    6.1.1.2. Canada
    6.1.1.3. Mexico

    6.2.1. Europe

    6.2.1. Europe Artificial Intelligence in Retail Market: Regional Trend Analysis

    6.2.1.1. Germany
    6.2.1.2. France
    6.2.1.3. UK
    6.2.1.4. Russia
    6.2.1.5. Italy
    6.2.1.6. Spain
    6.2.1.7. Rest of Europe

    6.3. Asia-Pacific

    6.3.1. Asia-Pacific Artificial Intelligence in Retail Market: Regional Trend Analysis

    6.3.1.1. China
    6.3.1.2. Japan
    6.3.1.3. Korea
    6.3.1.4. India
    6.3.1.5. Rest of Asia-Pacific

    6.4. Latin America

    6.4.1. Latin America Artificial Intelligence in Retail Market: Regional Trend Analysis

    6.4.1.1. Brazil
    6.4.1.2. Argentina
    6.4.1.3. Rest of Latin America

    6.5. Middle East and Africa

    6.5.1. Middle East and Africa Artificial Intelligence in Retail Market: Regional Trend Analysis

    6.5.1.1. GCC
    6.5.1.2. South Africa
    6.5.1.3. Israel
    6.5.1.4. Rest of MEA
    7. Global Artificial Intelligence in Retail Market Competitive Landscape, Market Share Analysis, and Company Profiles

    7.1. Market Share Analysis
    7.2. Company Profiles
    7.3. IBM

    7.3.1. Company Overview
    7.3.2. Financial Highlights
    7.3.3. Product Portfolio
    7.3.4. SWOT Analysis
    7.3.5. Key Strategies and Developments 7.4. Microsoft

    7.4.1. Company Overview
    7.4.2. Financial Highlights
    7.4.3. Product Portfolio
    7.4.4. SWOT Analysis
    7.4.5. Key Strategies and Developments 7.5. Nvidia

    7.5.1. Company Overview
    7.5.2. Financial Highlights
    7.5.3. Product Portfolio
    7.5.4. SWOT Analysis
    7.5.5. Key Strategies and Developments 7.6. Amazon Web Services

    7.6.1. Company Overview
    7.6.2. Financial Highlights
    7.6.3. Product Portfolio
    7.6.4. SWOT Analysis
    7.6.5. Key Strategies and Developments 7.7. Oracle

    7.7.1. Company Overview
    7.7.2. Financial Highlights
    7.7.3. Product Portfolio
    7.7.4. SWOT Analysis
    7.7.5. Key Strategies and Developments 7.8. SAP

    7.8.1. Company Overview
    7.8.2. Financial Highlights
    7.8.3. Product Portfolio
    7.8.4. SWOT Analysis
    7.8.5. Key Strategies and Developments 7.9. Intel

    7.9.1. Company Overview
    7.9.2. Financial Highlights
    7.9.3. Product Portfolio
    7.9.4. SWOT Analysis
    7.9.5. Key Strategies and Developments 7.10. Google

    7.10.1. Company Overview
    7.10.2. Financial Highlights
    7.10.3. Product Portfolio
    7.10.4. SWOT Analysis
    7.10.5. Key Strategies and Developments 7.11. Sentient Technologies

    7.11.1. Company Overview
    7.11.2. Financial Highlights
    7.11.3. Product Portfolio
    7.11.4. SWOT Analysis
    7.11.5. Key Strategies and Developments 7.12. Salesforce

    7.12.1. Company Overview
    7.12.2. Financial Highlights
    7.12.3. Product Portfolio
    7.12.4. SWOT Analysis
    7.12.5. Key Strategies and Developments 7.13. Visenze

    7.13.1. Company Overview
    7.13.2. Financial Highlights
    7.13.3. Product Portfolio
    7.13.4. SWOT Analysis
    7.13.5. Key Strategies and Developments

    8. Assumptions and Acronyms
    9. Research Methodology
    10. Contact

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    • Company Revenue StatisticsCompany Revenue Statistics
    • Rising Regional OpportunitiesRising Regional Opportunities
    • Technology Trends and DynamicsTechnology Trends and Dynamics
    • Technology AssessmentTechnology Assessment
 
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