Table of Content

1 INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the Study


2 RESEARCH METHODOLOGY


3 EXECUTIVE SUMMARY


4 MARKET INSIGHTS
4.1 Market Overview
4.2 Industry Attractiveness - Porter’s Five Forces Analysis
4.2.1 Bargaining Power of Suppliers
4.2.2 Bargaining Power of Consumers
4.2.3 Threat of New Entrants
4.2.4 Intensity of Competitive Rivalry
4.2.5 Threat of Substitute Products
4.3 Industry Policies
4.4 Impact of COVID-19 on the Market


5 MARKET DYNAMICS
5.1 Market Drivers
5.1.1 Rapid Adoption of Advances in Technology Across Retail Chain
5.1.2 Emerging Trend of Startups in the Retail Space
5.2 Market Restraints
5.2.1 Lack of Professionals as well as In-House Knowledge for Cultural Readiness
5.3 Market Opportunities


6 AI IN RETAIL MARKET SEGMENTATION
6.1 By Channel
6.1.1 Omnichannel
6.1.2 Brick and Mortar
6.1.3 Pure-play Online Retailers
6.2 By Component
6.2.1 Software
6.2.2 Service (Managed and Professional)
6.3 By Deployment
6.3.1 Cloud
6.3.2 On-Premise
6.4 By Application
6.4.1 Supply Chain and Logistics
6.4.2 Product Optimization
6.4.3 In-Store Navigation
6.4.4 Payment and Pricing Analytics
6.4.5 Inventory Management
6.4.6 Customer Relationship Management (CRM)
6.5 By Technology
6.5.1 Machine Learning
6.5.2 Natural Language Processing
6.5.3 Chatbots
6.5.4 Image and Video Analytics
6.5.5 Swarm Intelligence
6.6 Geography
6.6.1 North America (United States and Canada)
6.6.2 Europe (United Kingdom, Germany, France, and Rest of Europe)
6.6.3 Asia Pacific (China, Japan, India, and Rest of Asia Pacific)
6.6.4 Latin America
6.6.5 Middle East


7 COMPETITIVE LANDSCAPE
7.1 Company Profiles
7.1.1 SAP SE
7.1.2 IBM Corporation
7.1.3 Microsoft Corporation
7.1.4 Google LLC
7.1.5 Salesforce.com Inc.
7.1.6 Oracle Corporation
7.1.7 ViSenze Pte Ltd
7.1.8 Amazon Web Services Inc.
7.1.9 BloomReach, Inc.
7.1.10 Symphony RetailAI
7.1.11 Daisy Intelligence
7.1.12 Conversica Inc.


8 INVESTMENT ANALYSIS


9 FUTURE OF THE MARKET