Report Content
Chapter 1 Methodology & Scope
1.1 Market Definitions
1.2 Base estimates & calculations
1.3 Forecast calculation
1.4 Data sources
1.4.1 Primary
1.4.2 Secondary
1.4.2.1 Paid sources
1.4.2.2 Public sources
Chapter 2 Executive Summary
2.1 AI in Retail market 360º synopsis, 2018 – 2032
2.2 Business Trends
2.2.1 Total addressable market(TAM)
2.3 Regional trends
2.4 Component trends
2.5 Technology trends
2.6 Application trends
Chapter 3 AI in Retail Market Insights
3.1 Introduction
3.2 Impact of COVID-19 outbreak
3.2.1 North America
3.2.2 Europe
3.2.3 Asia Pacific
3.2.4 South America
3.2.5 MEA
3.3 Russia- Ukraine war impact on AI in Retail market
3.4 Evolution of AI in Retail
3.5 Industry ecosystem analysis
3.5.1 AI component provider
3.5.2 Software providers
3.5.3 Application developers
3.5.4 Profit margin
3.5.5 Vendor matrix
3.5.5.1 Hardware vendors
3.5.5.2 Service vendors
3.5.5.3 Data-analytics vendors
3.6 Technology & innovation landscape
3.6.1 Gesture Recognition
3.6.2 Robots
3.7 Patent analysis
3.8 Investment portfolio
3.9 Key initiatives and news
3.10 Regulatory landscape
3.10.1 North America
3.10.2 Europe
3.10.3 Asia Pacific
3.10.4 Latin America
3.10.5 MEA
3.11 Use cases
3.12 Industry impact forces
3.12.1 Growth drivers
3.12.1.1 Growing investments in AI
3.12.1.2 Increasingly empowered consumer
3.12.1.3 Rising disruptive technologies
3.12.1.4 Advent of new business models
3.12.1.5 Advancement in data science
3.12.2 Industry pitfalls & challenges
3.12.2.1 Limited public-private partnership to address social implications directly
3.12.2.2 Privacy issues associated with the use of AI Growth potential analysis
3.13 Growth potential analysis
3.14 Porter’s analysis
3.15 PESTEL analysis
Chapter 4 Competitive Landscape, 2022
4.1 Introduction
4.2 Company market share, 2022
4.3 Competitive analysis of major market players, 2022
4.3.1 Amazon Web Services (AWS)
4.3.2 Alphabet Inc
4.3.3 International Business Machines Corporation(IBM)
4.3.4 Microsoft Corporation
4.3.5 Intel Corporation
4.4 Competitive analysis of innovative market players, 2022
4.4.1 Symbotic
4.4.2 Interactions LLC
4.4.3 Lexalytics
4.4.4 Fujitsu
4.4.5 Ibenta Technologies
4.5 Competitive positioning matrix
4.6 Stratgic outlook matrix
Chapter 5 AI in Retail Market, By Component
5.1 Key trends, by component
5.2 Solution
5.2.1 Market estimates and forecast, 2018 – 2032
5.2.2 Chatbots
5.2.2.1 Market estimates and forecast, 2018 – 2032
5.2.3 Customer Behavior Tracking
5.2.3.1 Market estimates and forecast, 2018 – 2032
5.2.4 CRM
5.2.4.1 Market estimates and forecast, 2018 – 2032
5.2.5 Inventory Management
5.2.5.1 Market estimates and forecast, 2018 – 2032
5.2.6 Price Optimization
5.2.6.1 Market estimates and forecast, 2018 – 2032
5.2.7 Recommendation Engines
5.2.7.1 Market estimates and forecast, 2018 – 2032
5.2.8 Supply Chain Management
5.2.8.1 Market estimates and forecast, 2018 – 2032
5.2.9 Visual Search & Visual Listen
5.2.9.1 Market estimates and forecast, 2018 – 2032
5.2.10 Others
5.2.10.1 Market estimates and forecast, 2018 – 2032
5.3 Services
5.3.1 Market estimates and forecast, 2018 – 2032
5.3.2 Professional Service
5.3.2.1 Market estimates and forecast, 2018 – 2032
5.3.3 Managed Service
5.3.3.1 Market estimates and forecast, 2018 – 2032
Chapter 6 AI in Retail Market, By Technology
6.1 Key trends, by technology
6.2 Machine Learning
6.2.1 Market estimates and forecast, 2018 – 2032
6.3 Natural Language Processing
6.3.1 Market estimates and forecast, 2018 – 2032
6.4 Computer Vision
6.4.1 Market estimates and forecast, 2018 – 2032
6.5 Others
6.5.1 Market estimates and forecast, 2018 – 2032
Chapter 7 AI in Retail Market, By Application
7.1 Key trends, by application
7.2 Automated Merchandising
7.2.1 Market estimates and forecast, 2018 – 2032
7.3 Programmatic Advertising
7.3.1 Market estimates and forecast, 2018 – 2032
7.4 Market Forecasting
7.4.1 Market estimates and forecast, 2018 – 2032
7.5 In Store AI & location optimization
7.5.1 Market estimates and forecast, 2018 – 2032
7.6 Data Science
7.6.1 Market estimates and forecast, 2018 – 2032
7.7 Others
7.7.1 Market estimates and forecast, 2018 – 2032
Chapter 8 AI in Retail Market, By Region
8.1 Key trends, by region
8.2 North America
8.2.1 Market estimates and forecast, by component, 2018 – 2032
8.2.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.2.1.2 Market estimates and forecast, by services, 2018 – 2032
8.2.2 Market estimates and forecast, by technology, 2018 – 2032
8.2.3 Market estimates and forecast, by application, 2018 – 2032
8.2.4 U.S.
8.2.4.1 Market estimates and forecast, by component, 2018 – 2032
8.2.4.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.2.4.1.2 Market estimates and forecast, by services, 2018 – 2032
8.2.4.2 Market estimates and forecast, by technology, 2018 – 2032
8.2.4.3 Market estimates and forecast, by application 2018 – 2032
8.2.5 Canada
8.2.5.1 Market estimates and forecast, by component, 2018 – 2032
8.2.5.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.2.5.1.2 Market estimates and forecast, by services, 2018 – 2032
8.2.5.2 Market estimates and forecast, by technology, 2018 – 2032
8.2.5.3 Market estimates and forecast, by application 2018 – 2032
8.3 Europe
8.3.1 Market estimates and forecast, by component, 2018 – 2032
8.3.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.3.1.2 Market estimates and forecast, by services, 2018 – 2032
8.3.2 Market estimates and forecast, by technology, 2018 – 2032
8.3.3 Market estimates and forecast, by application, 2018 – 2032
8.3.4 UK
8.3.4.1 Market estimates and forecast, by component, 2018 – 2032
8.3.4.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.3.4.1.2 Market estimates and forecast, by services, 2018 – 2032
8.3.4.2 Market estimates and forecast, by technology, 2018 – 2032
8.3.4.3 Market estimates and forecast, by application 2018 – 2032
8.3.5 Germany
8.3.5.1 Market estimates and forecast, by component, 2018 – 2032
8.3.5.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.3.5.1.2 Market estimates and forecast, by services, 2018 – 2032
8.3.5.2 Market estimates and forecast, by technology, 2018 – 2032
8.3.5.3 Market estimates and forecast, by application 2018 – 2032
8.3.6 France
8.3.6.1 Market estimates and forecast, by component, 2018 – 2032
8.3.6.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.3.6.1.2 Market estimates and forecast, by services, 2018 – 2032
8.3.6.2 Market estimates and forecast, by technology, 2018 – 2032
8.3.6.3 Market estimates and forecast, by application 2018 – 2032
8.3.7 Spain
8.3.7.1 Market estimates and forecast, by component, 2018 – 2032
8.3.7.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.3.7.1.2 Market estimates and forecast, by services, 2018 – 2032
8.3.7.2 Market estimates and forecast, by technology, 2018 – 2032
8.3.7.3 Market estimates and forecast, by application 2018 – 2032
8.3.8 Sweden
8.3.8.1 Market estimates and forecast, by component, 2018 – 2032
8.3.8.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.3.8.1.2 Market estimates and forecast, by services, 2018 – 2032
8.3.8.2 Market estimates and forecast, by technology, 2018 – 2032
8.3.8.3 Market estimates and forecast, by application 2018 – 2032
8.3.9 Switzerland
8.3.9.1 Market estimates and forecast, by component, 2018 – 2032
8.3.9.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.3.9.1.2 Market estimates and forecast, by services, 2018 – 2032
8.3.9.2 Market estimates and forecast, by technology, 2018 – 2032
8.3.9.3 Market estimates and forecast, by application 2018 – 2032
8.4 Asia Pacific
8.4.1 Market estimates and forecast, by component, 2018 – 2032
8.4.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.4.1.2 Market estimates and forecast, by services, 2018 – 2032
8.4.2 Market estimates and forecast, by technology, 2018 – 2032
8.4.3 Market estimates and forecast, by application, 2018 – 2032
8.4.4 China
8.4.4.1 Market estimates and forecast, by component, 2018 – 2032
8.4.4.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.4.4.1.2 Market estimates and forecast, by services, 2018 – 2032
8.4.4.2 Market estimates and forecast, by technology, 2018 – 2032
8.4.4.3 Market estimates and forecast, by application 2018 – 2032
8.4.5 India
8.4.5.1 Market estimates and forecast, by component, 2018 – 2032
8.4.5.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.4.5.1.2 Market estimates and forecast, by services, 2018 – 2032
8.4.5.2 Market estimates and forecast, by technology, 2018 – 2032
8.4.5.3 Market estimates and forecast, by application 2018 – 2032
8.4.6 Japan
8.4.6.1 Market estimates and forecast, by component, 2018 – 2032
8.4.6.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.4.6.1.2 Market estimates and forecast, by services, 2018 – 2032
8.4.6.2 Market estimates and forecast, by technology, 2018 – 2032
8.4.6.3 Market estimates and forecast, by application 2018 – 2032
8.4.7 Australia
8.4.7.1 Market estimates and forecast, by component, 2018 – 2032
8.4.7.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.4.7.1.2 Market estimates and forecast, by services, 2018 – 2032
8.4.7.2 Market estimates and forecast, by technology, 2018 – 2032
8.4.7.3 Market estimates and forecast, by application 2018 – 2032
8.4.8 South Korea
8.4.8.1 Market estimates and forecast, by component, 2018 – 2032
8.4.8.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.4.8.1.2 Market estimates and forecast, by services, 2018 – 2032
8.4.8.2 Market estimates and forecast, by technology, 2018 – 2032
8.4.8.3 Market estimates and forecast, by application 2018 – 2032
8.4.9 Singapore
8.4.9.1 Market estimates and forecast, by component, 2018 – 2032
8.4.9.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.4.9.1.2 Market estimates and forecast, by services, 2018 – 2032
8.4.9.2 Market estimates and forecast, by technology, 2018 – 2032
8.4.9.3 Market estimates and forecast, by application 2018 – 2032
8.5 Latin America
8.5.1 Market estimates and forecast, by component, 2018 – 2032
8.5.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.5.1.2 Market estimates and forecast, by services, 2018 – 2032
8.5.2 Market estimates and forecast, by technology, 2018 – 2032
8.5.3 Market estimates and forecast, by application, 2018 – 2032
8.5.4 Brazil
8.5.4.1 Market estimates and forecast, by component, 2018 – 2032
8.5.4.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.5.4.1.2 Market estimates and forecast, by services, 2018 – 2032
8.5.4.2 Market estimates and forecast, by technology, 2018 – 2032
8.5.4.3 Market estimates and forecast, by application 2018 – 2032
8.5.5 Mexico
8.5.5.1 Market estimates and forecast, by component, 2018 – 2032
8.5.5.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.5.5.1.2 Market estimates and forecast, by services, 2018 – 2032
8.5.5.2 Market estimates and forecast, by technology, 2018 – 2032
8.5.5.3 Market estimates and forecast, by application 2018 – 2032
8.6 MEA
8.6.1 Market estimates and forecast, by component, 2018 – 2032
8.6.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.6.1.2 Market estimates and forecast, by services, 2018 – 2032
8.6.2 Market estimates and forecast, by technology, 2018 – 2032
8.6.3 Market estimates and forecast, by application, 2018 – 2032
8.6.4 UAE
8.6.4.1 Market estimates and forecast, by component, 2018 – 2032
8.6.4.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.6.4.1.2 Market estimates and forecast, by services, 2018 – 2032
8.6.4.2 Market estimates and forecast, by technology, 2018 – 2032
8.6.4.3 Market estimates and forecast, by application 2018 – 2032
8.6.5 Israel
8.6.5.1 Market estimates and forecast, by component, 2018 – 2032
8.6.5.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.6.5.1.2 Market estimates and forecast, by services, 2018 – 2032
8.6.5.2 Market estimates and forecast, by technology, 2018 – 2032
8.6.5.3 Market estimates and forecast, by application 2018 – 2032
8.6.6 South Africa
8.6.6.1 Market estimates and forecast, by component, 2018 – 2032
8.6.6.1.1 Market estimates and forecast, by solution, 2018 – 2032
8.6.6.1.2 Market estimates and forecast, by services, 2018 – 2032
8.6.6.2 Market estimates and forecast, by technology, 2018 – 2032
8.6.6.3 Market estimates and forecast, by application 2018 – 2032
Chapter 9 Company Profiles
9.1 Amazon Web Services (AWS)
9.1.1 Business Overview
9.1.2 Financial Data
9.1.3 Product Landscape
9.1.4 Strategic Outlook
9.1.5 SWOT Analysis
9.2 Baidu Inc
9.2.1 Business Overview
9.2.2 Financial Data
9.2.3 Product Landscape
9.2.4 Strategic Outlook
9.2.5 SWOT Analysis
9.3 BloomReach Inc
9.3.1 Business Overview
9.3.2 Financial Data
9.3.3 Product Landscape
9.3.4 Strategic Outlook
9.3.5 SWOT Analysis
9.4 CognitiveScale Inc
9.4.1 Business Overview
9.4.2 Financial Data
9.4.3 Product Landscape
9.4.4 Strategic Outlook
9.4.5 SWOT Analysis
9.5 Google Inc.
9.5.1 Business Overview
9.5.2 Financial Data
9.5.3 Product Landscape
9.5.4 Strategic Outlook
9.5.5 SWOT Analysis
9.6 IBM Corporation
9.6.1 Business Overview
9.6.2 Financial Data
9.6.3 Product Landscape
9.6.4 Strategic Outlook
9.6.5 SWOT Analysis
9.7 Ibenta Technologies
9.7.1 Business Overview
9.7.2 Financial Data
9.7.3 Product Landscape
9.7.4 Strategic Outlook
9.7.5 SWOT Analysis
9.8 Intel Corporation
9.8.1 Business Overview
9.8.2 Financial Data
9.8.3 Product Landscape
9.8.4 Strategic Outlook
9.8.5 SWOT Analysis
9.9 Interactions LLC
9.9.1 Business Overview
9.9.2 Financial Data
9.9.3 Product Landscape
9.9.4 Strategic Outlook
9.9.5 SWOT Analysis
9.10 Lexalytics Inc.
9.10.1 Business Overview
9.10.2 Financial Data
9.10.3 Product Landscape
9.10.4 Strategic Outlook
9.10.5 SWOT Analysis
9.11 Microsoft Corporation
9.11.1 Business Overview
9.11.2 Financial Data
9.11.3 Product Landscape
9.11.4 Strategic Outlook
9.11.5 SWOT Analysis
9.12 Next IT Corp.
9.12.1 Business Overview
9.12.2 Financial Data
9.12.3 Product Landscape
9.12.4 Strategic Outlook
9.12.5 SWOT Analysis
9.13 Nvidia Corporation
9.13.1 Business Overview
9.13.2 Financial Data
9.13.3 Product Landscape
9.13.4 Strategic Outlook
9.13.5 SWOT Analysis
9.14 Oracle Corporation
9.14.1 Business Overview
9.14.2 Financial Data
9.14.3 Product Landscape
9.14.4 Strategic Outlook
9.14.5 SWOT Analysis
9.15 RetailNext Inc.
9.15.1 Business Overview
9.15.2 Financial Data
9.15.3 Product Landscape
9.15.4 Strategic Outlook
9.15.5 SWOT Analysis
9.16 Salesforce.com Inc.
9.16.1 Business Overview
9.16.2 Financial Data
9.16.3 Product Landscape
9.16.4 Strategic Outlook
9.16.5 SWOT Analysis
9.17 SAP SE
9.17.1 Business Overview
9.17.2 Financial Data
9.17.3 Product Landscape
9.17.4 Strategic Outlook
9.17.5 SWOT Analysis
9.18 Sentient Technologies
9.18.1 Business Overview
9.18.2 Financial Data
9.18.3 Product Landscape
9.18.4 Strategic Outlook
9.18.5 SWOT Analysis
9.19 Visenze
9.19.1 Business Overview
9.19.2 Financial Data
9.19.3 Product Landscape
9.19.4 Strategic Outlook
9.19.5 SWOT Analysis
9.20 Symbotic
9.20.1 Business Overview
9.20.2 Financial Data
9.20.3 Product Landscape
9.20.4 Strategic Outlook
9.20.5 SWOT Analysis
