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AI in Retail and E-commerce Market: Global Industry Analysis, Trends, Market Size, and Forecasts up to 2026


Product Code : MarkNtel AdvisorsICT00104793
Survey : RNPL
Publish On : 20, May, 2022
Category : ICT and Telecom
Study Area : Global
Report format : PDF
Sales price option (consumption tax not included)
Single User USD4795 / Question Form
Enterprise User USD7195 / Question Form
Company Profiles
The companies covered in the report include
• IBM Corporation
• SAP SE
• Microsoft Corporation
• Amazon.com, Inc.
• SAS Institute Inc.
• Alphabet Inc.
• Versium Analytics Inc.
• ViSenze Pte Ltd
• Sentient Technologies Holdings Limited
• Conversica Inc.

[Report Description]

The report on the global AI in retail and E-commerce market provides qualitative and quantitative analysis for the period from 2018 to 2026. The report predicts the global AI in retail and E-commerce market to grow with a CAGR of 42.8% over the forecast period from 2020-2026. The study on AI in retail and E-commerce market covers the analysis of the leading geographies such as North America, Europe, Asia-Pacific, and RoW for the period of 2018 to 2026.

The report on AI in retail and E-commerce market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global AI in retail and E-commerce market over the period of 2018 to 2026. Moreover, the report is a collective presentation of primary and secondary research findings.

Porter's five forces model in the report provides insights into the competitive rivalry, supplier and buyer positions in the market and opportunities for the new entrants in the global AI in retail and E-commerce market over the period of 2018 to 2026. Further, IGR-Growth Matrix gave in the report brings an insight into the investment areas that existing or new market players can consider.

Report Findings
1) Drivers
• Rise In The Investment In Advanced Technologies In Retail
• Growing Amount Of Consumer Data Available
• Increasing Penetration Of Internet And Smartphones
2) Restraints
• Higher Cost Of Technological Transformation
• Lack Of Technological Infrastructure
3) Opportunities
• Growing Awareness Regarding Advanced Technologies

Research Methodology
A) Primary Research
Our primary research involves extensive interviews and analysis of the opinions provided by the primary respondents. The primary research starts with identifying and approaching the primary respondents, the primary respondents are approached include
1. Key Opinion Leaders associated with Infinium Global Research
2. Internal and External subject matter experts
3. Professionals and participants from the industry
Our primary research respondents typically include
1. Executives working with leading companies in the market under review
2. Product/brand/marketing managers
3. CXO level executives
4. Regional/zonal/ country managers
5. Vice President level executives.
B) Secondary Research
Secondary research involves extensive exploring through the secondary sources of information available in both the public domain and paid sources. At Infinium Global Research, each research study is based on over 500 hours of secondary research accompanied by primary research. The information obtained through the secondary sources is validated through the crosscheck on various data sources.
The secondary sources of the data typically include
1. Company reports and publications
2. Government/institutional publications
3. Trade and associations journals
4. Databases such as WTO, OECD, World Bank, and among others.
5. Websites and publications by research agencies

Segment Covered
The global AI in retail and E-commerce market is segmented on the basis of solution, application, and end-user.

Global AI in Retail and E-commerce Market by Solution
• Customer Insights and Relationship Management
• Personalized Product Recommendation
• Price Optimization
• Supply Chain Management and Demand Planning
• Intelligent Virtual Assistant
• Visual Search
• Payments
• Others

Global AI in Retail and E-commerce Market by Application
• Sales and Merchandise Planning
• Reduced Fraud and Shrinkage
• Logistics and Delivery
• Trade Promotions Management
• Others

Global AI in Retail and E-commerce Market by End-user
• Brick & Mortar Stores
• E-commerce Stores

Company Profiles
The companies covered in the report include
• IBM Corporation
• SAP SE
• Microsoft Corporation
• Amazon.com, Inc.
• SAS Institute Inc.
• Alphabet Inc.
• Versium Analytics Inc.
• ViSenze Pte Ltd
• Sentient Technologies Holdings Limited
• Conversica Inc.

What Does This Report Deliver?
1. Comprehensive analysis of the global as well as regional markets of the AI in retail and E-commerce market.
2. Complete coverage of all the segments in the AI in retail and E-commerce market to analyze the trends, developments in the global market and forecast of market size up to 2026.
3. Comprehensive analysis of the companies operating in the global AI in retail and E-commerce market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.
4. IGR-Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.

Table of Content

1. Preface
1.1. Report Description
1.2. Research Methods
1.3. Research Approaches

2. Executive Summary
2.1. AI in Retail and E-commerce Market Highlights
2.2. AI in Retail and E-commerce Market Projection
2.3. AI in Retail and E-commerce Market Regional Highlights

3. Global AI in Retail and E-commerce Market Overview
3.1. Introduction
3.2. Market Dynamics
3.2.1. Drivers
3.2.2. Restraints
3.2.3. Opportunities
3.3. Analysis of COVID-19 impact on the AI in Retail and E-commerce Market
3.4. Porter's Five Forces Analysis
3.5. IGR-Growth Matrix Analysis
3.5.1. IGR-Growth Matrix Analysis by Solution
3.5.2. IGR-Growth Matrix Analysis by Application
3.5.3. IGR-Growth Matrix Analysis by End-user
3.5.4. IGR-Growth Matrix Analysis by Region
3.6. Value Chain Analysis of AI in Retail and E-commerce Market

4. AI in Retail and E-commerce Market Macro Indicator Analysis

5. Global AI in Retail and E-commerce Market by Solution
5.1. Customer Insights and Relationship Management
5.2. Personalized Product Recommendation
5.3. Price Optimization
5.4. Supply Chain Management and Demand Planning
5.5. Intelligent Virtual Assistant
5.6. Visual Search
5.7. Payments
5.8. Others

6. Global AI in Retail and E-commerce Market by Application
6.1. Sales and Merchandise Planning
6.2. Reduced Fraud and Shrinkage
6.3. Logistics and Delivery
6.4. Trade Promotions Management
6.5. Others

7. Global AI in Retail and E-commerce Market by End-user
7.1. Brick & Mortar Stores
7.2. E-commerce Stores

8. Global AI in Retail and E-commerce Market by Region 2020-2026
8.1. North America
8.1.1. North America AI in Retail and E-commerce Market by Solution
8.1.2. North America AI in Retail and E-commerce Market by Application
8.1.3. North America AI in Retail and E-commerce Market by End-user
8.1.4. North America AI in Retail and E-commerce Market by Country
8.2. Europe
8.2.1. Europe AI in Retail and E-commerce Market by Solution
8.2.2. Europe AI in Retail and E-commerce Market by Application
8.2.3. Europe AI in Retail and E-commerce Market by End-user
8.2.4. Europe AI in Retail and E-commerce Market by Country
8.3. Asia-Pacific
8.3.1. Asia-Pacific AI in Retail and E-commerce Market by Solution
8.3.2. Asia-Pacific AI in Retail and E-commerce Market by Application
8.3.3. Asia-Pacific AI in Retail and E-commerce Market by End-user
8.3.4. Asia-Pacific AI in Retail and E-commerce Market by Country
8.4. RoW
8.4.1. RoW AI in Retail and E-commerce Market by Solution
8.4.2. RoW AI in Retail and E-commerce Market by Application
8.4.3. RoW AI in Retail and E-commerce Market by End-user
8.4.4. RoW AI in Retail and E-commerce Market by Sub-region

9. Company Profiles and Competitive Landscape
9.1. Competitive Landscape in the Global AI in Retail and E-commerce Market
9.2. Companies Profiles
9.2.1. IBM Corporation
9.2.2. SAP SE
9.2.3. Microsoft Corporation
9.2.4. Amazon.com, Inc.
9.2.5. SAS Institute Inc.
9.2.6. Alphabet Inc.
9.2.7. Versium Analytics Inc.
9.2.8. ViSenze Pte Ltd
9.2.9. Sentient Technologies Holdings Limited
9.2.10. Conversica Inc.

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