Table of Contents
1 Executive Summary
1.1 AI Used Cases Emerging Across Subsector
1.2 Segments expected to dominate during the forecasted period
2 Industry Outlook
2.1 Industry Overview
2.2 Industry Trends
3 Market Snapshot
3.1 Total Addressable Market
3.2 Segment Addressable Market
3.2.1 PEST Analysis
3.2.2 Porter's Five Force Analysis
3.3 Related Markets
4 Market Characteristics
4.1 Ecosystem
4.2 Market Trends and Impact
4.3 Value Chain Analysis
4.4 Market Segmentation
4.5 Market Dynamics
4.5.1 Drivers
4.5.1.1 Necessity to retain customers and enhance customer experience
4.5.1.2 Growing demand for enhancing revenue and improving productivity
4.5.1.3 Need to control fraud and Shrinkages
4.5.2 Restraints
4.5.2.1 Shortage of AI developers with required skills
4.5.2.2 High investment cost and variability of AI algorithms
4.5.3 Opportunities
4.5.3.1 Increasing penetration of smartphones
4.5.3.2 Rising shift towards Omnichannel
4.5.4 DRO - Impact Analysis
5 AI in Retail and E-Commerce Market' By Type
5.1 Overview
5.2 Brick & Mortar
5.3 E-Commerce
6 AI in Retail and E-commerce Market' By Solutions
6.1 Overview
6.2 Customer Insights and Relationship Management
6.3 Personalized Product Recommendation
6.4 Price Optimization
6.5 Supply Chain Management and Demand Planning
6.6 Intelligent Virtual Assistant
6.7 Visual Search
6.8 Payments
6.9 Others
7 AI in Retail and E-Commerce Market' By Applications
7.1 Overview
7.2 Sales and Merchandise Planning
7.3 Reduced fraud and shrinkage
7.4 Logistics and Delivery
7.5 Trade Promotions Management
7.6 Others
8 AI in Retail and E-Commerce Market' By Region
8.1 Overview
8.2 North America
8.2.1 Market Size and Analysis
8.3 Europe
8.3.1 Market Size and Analysis
8.4 Asia Pacific
8.4.1 Market Size and Analysis
8.5 RoW
8.5.1 Market Size and Analysis
9 Competitive Landscape
9.1 Competitor Analysis
9.2 Product/Offerings Portfolio Analysis
9.3 Market Developments
9.3.1 Partnerships and Collaborations
9.3.2 Product Launches & Exhibitions
10 Vendor Profiles
10.1 IBM Corporation
10.1.1 Overview
10.1.2 Business Units
10.1.3 Geographic Revenue
10.1.4 Recent Developments
10.1.5 SWOT Analysis
10.1.6 Business Focus and Strategies
10.2 SAP
10.2.1 Overview
10.2.2 Business Units
10.2.3 Geographic Revenue
10.2.4 Recent Developments
10.2.5 SWOT Analysis
10.2.6 Business Focus and Strategies
10.3 Microsoft
10.3.1 Overview
10.3.2 Business Units
10.3.3 Geographic Revenue
10.3.4 Recent Developments
10.3.5 SWOT Analysis
10.3.6 Business Focus and Strategies
10.4 Amazon (AWS)
10.4.1 Overview
10.4.2 Business Units
10.4.3 Recent Developments
10.4.4 SWOT Analysis
10.4.5 Business Focus and Strategies
10.5 SAS
10.5.1 Overview
10.5.2 Recent Developments
10.5.3 SWOT Analysis
10.5.4 Business Focus and Strategies
11 Companies to Watch for
11.1 JDA Software
11.1.1 Overview
11.1.2 Product Profile
11.1.3 Analyst Opinion
11.2 Salesforce
11.2.1 Overview
11.2.2 Product Profile
11.2.3 Analyst Opinion
11.3 Symphony RetailAI
11.3.1 Overview
11.3.2 Product Profile
11.3.3 Analyst Opinion
11.4 Visenze
11.4.1 Overview
11.4.2 Product Profile
11.4.3 Analyst Opinion
11.5 Infinite Analytics
11.5.1 Overview
11.5.2 Product Profile
11.5.3 Analyst Opinion
12 Annexure
12.1 Report Scope
12.2 Market Definition
12.3 Research Methodology
12.3.1 Data Collation & In-house Estimation
12.3.2 Market Triangulation
12.3.3 Forecasting
12.4 Study Declarations
12.5 Report Assumptions
12.6 Abbreviations