Reports - Artificial Intelligence in Retail Market
Technology & MediaArtificial Intelligence in Retail Market
Artificial Intelligence in Retail Market Size, Share & Growth Forecast by 2035 by Type (Online, Offline), by Technology (Machine Learning and Deep Learning, Natural Language Processing, Others (Analytics and Process Automation)), by Solution (Product Recommendation and Planning, Customer Relationship Management, Visual Search, Virtual Assistant), by Service (Professional Services, Managed Services), by Deployment Model (Cloud, On-Premises), by Application (Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance), by Region (North America, Europe, Asia Pacific, Latin America and Middle East & Africa
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Table of Contents
Chapter 1 Executive Dashboard
1. Strategic Imperatives
Chapter 2 Premium Insights
1. Top 3 Trends to Watch
2. Demand and Supply Trends
3. Top 3 Strategies Followed by Major Players
4. Top 3 Predictions by Vantage Market Research
5. Top Investment Pockets
6. Insights from Primary Respondents
Chapter 3 Global Artificial Intelligence in Retail Market - Segment Analysis
1. Overview
2. Global Artificial Intelligence in Retail Market, 2019 - 2030 (USD Million)
3. Global Artificial Intelligence in Retail Market - by Type
3.1. By Online
3.2. By Offline
4. Global Artificial Intelligence in Retail Market - by Technology
4.1. By Machine Learning and Deep Learning
4.2. By Natural Language Processing
4.3. By Others (Analytics and Process Automation)
5. Global Artificial Intelligence in Retail Market - by Solution
5.1. By Product Recommendation and Planning
5.2. By Customer Relationship Management
5.3. By Visual Search
5.4. By Virtual Assistant
5.5. By Price Optimization
5.6. By Payment Services management
5.7. By Supply chain management and Demand Planning
5.8. By Others (Website and Content Optimization, Space Planning, Fraud Detection, and Franchise Management)
6. Global Artificial Intelligence in Retail Market - by Service
6.1. By Professional Services
6.2. By Managed Services
7. Global Artificial Intelligence in Retail Market - by Deployment Model
7.1. By Cloud
7.2. By On-Premises
8. Global Artificial Intelligence in Retail Market - by Application
8.1. By Predictive Merchandising
8.2. By Programmatic Advertising
8.3. By Market Forecasting
8.4. By In-Store Visual Monitoring and Surveillance
8.5. By Location-Based Marketing
8.6. By Other (Real-Time Pricing and Incentives, and Real-Time Product Targeting)
9. Global Artificial Intelligence in Retail Market - by region
9.1. North America
9.2. Europe
9.3. Asia Pacific
9.4. Latin America
9.5. Middle East & Africa
10. Market comparative analysis
Chapter 4 North America Artificial Intelligence in Retail Market - Segment Analysis
1. Overview
2. North America Artificial Intelligence in Retail Market, 2019 - 2030 (USD Million)
3. North America Artificial Intelligence in Retail Market - by Type
3.1. By Online
3.2. By Offline
4. North America Artificial Intelligence in Retail Market - by Technology
4.1. By Machine Learning and Deep Learning
4.2. By Natural Language Processing
4.3. By Others (Analytics and Process Automation)
5. North America Artificial Intelligence in Retail Market - by Solution
5.1. By Product Recommendation and Planning
5.2. By Customer Relationship Management
5.3. By Visual Search
5.4. By Virtual Assistant
5.5. By Price Optimization
5.6. By Payment Services management
5.7. By Supply chain management and Demand Planning
5.8. By Others (Website and Content Optimization, Space Planning, Fraud Detection, and Franchise Management)
6. North America Artificial Intelligence in Retail Market - by Service
6.1. By Professional Services
6.2. By Managed Services
7. North America Artificial Intelligence in Retail Market - by Deployment Model
7.1. By Cloud
7.2. By On-Premises
8. North America Artificial Intelligence in Retail Market - by Application
8.1. By Predictive Merchandising
8.2. By Programmatic Advertising
8.3. By Market Forecasting
8.4. By In-Store Visual Monitoring and Surveillance
8.5. By Location-Based Marketing
8.6. By Other (Real-Time Pricing and Incentives, and Real-Time Product Targeting)
Chapter 5 Europe Artificial Intelligence in Retail Market - Segment Analysis
1. Overview
2. Europe Artificial Intelligence in Retail Market, 2019 - 2030 (USD Million)
3. Europe Artificial Intelligence in Retail Market - by Type
3.1. By Online
3.2. By Offline
4. Europe Artificial Intelligence in Retail Market - by Technology
4.1. By Machine Learning and Deep Learning
4.2. By Natural Language Processing
4.3. By Others (Analytics and Process Automation)
5. Europe Artificial Intelligence in Retail Market - by Solution
5.1. By Product Recommendation and Planning
5.2. By Customer Relationship Management
5.3. By Visual Search
5.4. By Virtual Assistant
5.5. By Price Optimization
5.6. By Payment Services management
5.7. By Supply chain management and Demand Planning
5.8. By Others (Website and Content Optimization, Space Planning, Fraud Detection, and Franchise Management)
6. Europe Artificial Intelligence in Retail Market - by Service
6.1. By Professional Services
6.2. By Managed Services
7. Europe Artificial Intelligence in Retail Market - by Deployment Model
7.1. By Cloud
7.2. By On-Premises
8. Europe Artificial Intelligence in Retail Market - by Application
8.1. By Predictive Merchandising
8.2. By Programmatic Advertising
8.3. By Market Forecasting
8.4. By In-Store Visual Monitoring and Surveillance
8.5. By Location-Based Marketing
8.6. By Other (Real-Time Pricing and Incentives, and Real-Time Product Targeting)
Chapter 6 Asia Pacific Artificial Intelligence in Retail Market - Segment Analysis
1. Overview
2. Asia Pacific Artificial Intelligence in Retail Market, 2019 - 2030 (USD Million)
3. Asia Pacific Artificial Intelligence in Retail Market - by Type
3.1. By Online
3.2. By Offline
4. Asia Pacific Artificial Intelligence in Retail Market - by Technology
4.1. By Machine Learning and Deep Learning
4.2. By Natural Language Processing
4.3. By Others (Analytics and Process Automation)
5. Asia Pacific Artificial Intelligence in Retail Market - by Solution
5.1. By Product Recommendation and Planning
5.2. By Customer Relationship Management
5.3. By Visual Search
5.4. By Virtual Assistant
5.5. By Price Optimization
5.6. By Payment Services management
5.7. By Supply chain management and Demand Planning
5.8. By Others (Website and Content Optimization, Space Planning, Fraud Detection, and Franchise Management)
6. Asia Pacific Artificial Intelligence in Retail Market - by Service
6.1. By Professional Services
6.2. By Managed Services
7. Asia Pacific Artificial Intelligence in Retail Market - by Deployment Model
7.1. By Cloud
7.2. By On-Premises
8. Asia Pacific Artificial Intelligence in Retail Market - by Application
8.1. By Predictive Merchandising
8.2. By Programmatic Advertising
8.3. By Market Forecasting
8.4. By In-Store Visual Monitoring and Surveillance
8.5. By Location-Based Marketing
8.6. By Other (Real-Time Pricing and Incentives, and Real-Time Product Targeting)
Chapter 7 Latin America Artificial Intelligence in Retail Market - Segment Analysis
1. Overview
2. Latin America Artificial Intelligence in Retail Market, 2019 - 2030 (USD Million)
3. Latin America Artificial Intelligence in Retail Market - by Type
3.1. By Online
3.2. By Offline
4. Latin America Artificial Intelligence in Retail Market - by Technology
4.1. By Machine Learning and Deep Learning
4.2. By Natural Language Processing
4.3. By Others (Analytics and Process Automation)
5. Latin America Artificial Intelligence in Retail Market - by Solution
5.1. By Product Recommendation and Planning
5.2. By Customer Relationship Management
5.3. By Visual Search
5.4. By Virtual Assistant
5.5. By Price Optimization
5.6. By Payment Services management
5.7. By Supply chain management and Demand Planning
5.8. By Others (Website and Content Optimization, Space Planning, Fraud Detection, and Franchise Management)
6. Latin America Artificial Intelligence in Retail Market - by Service
6.1. By Professional Services
6.2. By Managed Services
7. Latin America Artificial Intelligence in Retail Market - by Deployment Model
7.1. By Cloud
7.2. By On-Premises
8. Latin America Artificial Intelligence in Retail Market - by Application
8.1. By Predictive Merchandising
8.2. By Programmatic Advertising
8.3. By Market Forecasting
8.4. By In-Store Visual Monitoring and Surveillance
8.5. By Location-Based Marketing
8.6. By Other (Real-Time Pricing and Incentives, and Real-Time Product Targeting)
Chapter 8 Middle East & Africa Artificial Intelligence in Retail Market - Segment Analysis
1. Overview
2. Middle East & Africa Artificial Intelligence in Retail Market, 2019 - 2030 (USD Million)
3. Middle East & Africa Artificial Intelligence in Retail Market - by Type
3.1. By Online
3.2. By Offline
4. Middle East & Africa Artificial Intelligence in Retail Market - by Technology
4.1. By Machine Learning and Deep Learning
4.2. By Natural Language Processing
4.3. By Others (Analytics and Process Automation)
5. Middle East & Africa Artificial Intelligence in Retail Market - by Solution
5.1. By Product Recommendation and Planning
5.2. By Customer Relationship Management
5.3. By Visual Search
5.4. By Virtual Assistant
5.5. By Price Optimization
5.6. By Payment Services management
5.7. By Supply chain management and Demand Planning
5.8. By Others (Website and Content Optimization, Space Planning, Fraud Detection, and Franchise Management)
6. Middle East & Africa Artificial Intelligence in Retail Market - by Service
6.1. By Professional Services
6.2. By Managed Services
7. Middle East & Africa Artificial Intelligence in Retail Market - by Deployment Model
7.1. By Cloud
7.2. By On-Premises
8. Middle East & Africa Artificial Intelligence in Retail Market - by Application
8.1. By Predictive Merchandising
8.2. By Programmatic Advertising
8.3. By Market Forecasting
8.4. By In-Store Visual Monitoring and Surveillance
8.5. By Location-Based Marketing
8.6. By Other (Real-Time Pricing and Incentives, and Real-Time Product Targeting)
Chapter 9 Key Market Dynamics
1. Introduction
2. Market Drivers
3. Market Restraints
4. Market Opportunities
5. Porter's Five Forces Analysis
6. PEST Analysis
7. Regulatory Landscape
8. Technology Landscape
9. Regional Market Trends
Chapter 10 COVID 19 Impact Analysis
1. Key strategies undertaken by companies to tackle COVID-19
2. Short term dynamics
3. Long term dynamics
Chapter 11 Marketing Strategy Analysis
1. Marketing Channel
2. Direct Marketing
3. Indirect Marketing
4. Marketing Channel Development Trends
Chapter 12 Competitive Landscape
1. Competition Matrix - 2021
2. Company Market Share Analysis - 2021
3. Key Company Activities, 2018 - 2021
4. Strategic Developments - Heat Map Analysis
5. Company Offering Evaluation
6. Company Regional Presence Evaluation
Chapter 13 Company Profiles
1. IBM (US)
2. Microsoft (US)
3. Amazon Web Services (US)
4. Oracle (US)
5. SAP (Germany)
6. Intel (US)
7. NVIDIA (US)
8. Google (US)
9. Sentient technologies (US)
10. Salesforce (US)
11. and ViSenze (Singapore)"
Chapter 14 Key Primary Respondents - VERBATIM
Chapter 15 Discussion Guide
Chapter 16 Customization Offered
Chapter 17 Annexure
Chapter 18 List of Figures
Chapter 19 List of Tables
Chapter 20 List of Abbreviations
FAQ‘s
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