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Artificial Intelligence (AI) in Retail-Global Market Insights and Sales Trends 2025
Synopsis
Artificial intelligence (AI) refers to machines that can mimic thinking that we associate with humans.This is especially true in the retail business, where AI is starting to play a role in the shopping experience as a consumer can find the right item for them based on their interests.
The global Artificial Intelligence (AI) in Retail market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Artificial Intelligence (AI) in Retail in various end use industries. The expanding demands from the Predictive Merchandising, Programmatic Advertising, Market Forecasting and In-Store Visual Monitoring and Surveillance, are propelling Artificial Intelligence (AI) in Retail market. Online Artificial Intelligence, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Offline Artificial Intelligence segment is estimated at % CAGR for the next seven-year period.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/40 of that of the United States.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Artificial Intelligence (AI) in Retail, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Artificial Intelligence (AI) in Retail market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Artificial Intelligence (AI) in Retail market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Artificial Intelligence (AI) in Retail sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Artificial Intelligence (AI) in Retail covered in this report include IBM, Microsoft, Nvidia, Amazon Web Services, Oracle, SAP, Intel, Google and Sentient Technologies, etc.
The global Artificial Intelligence (AI) in Retail market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
IBM
Microsoft
Nvidia
Amazon Web Services
Oracle
SAP
Intel
Google
Sentient Technologies
Salesforce
Visenze
Global Artificial Intelligence (AI) in Retail market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Artificial Intelligence (AI) in Retail market, Segment by Type:
Online Artificial Intelligence
Offline Artificial Intelligence
Global Artificial Intelligence (AI) in Retail market, by Application
Predictive Merchandising
Programmatic Advertising
Market Forecasting
In-Store Visual Monitoring and Surveillance
Location-Based Marketing
Other
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Artificial Intelligence (AI) in Retail companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Artificial intelligence (AI) refers to machines that can mimic thinking that we associate with humans.This is especially true in the retail business, where AI is starting to play a role in the shopping experience as a consumer can find the right item for them based on their interests.
The global Artificial Intelligence (AI) in Retail market size is expected to reach US$ million by 2029, growing at a CAGR of % from 2023 to 2029. The market is mainly driven by the significant applications of Artificial Intelligence (AI) in Retail in various end use industries. The expanding demands from the Predictive Merchandising, Programmatic Advertising, Market Forecasting and In-Store Visual Monitoring and Surveillance, are propelling Artificial Intelligence (AI) in Retail market. Online Artificial Intelligence, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Offline Artificial Intelligence segment is estimated at % CAGR for the next seven-year period.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached ¥508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/40 of that of the United States.
Report Objectives
This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Artificial Intelligence (AI) in Retail, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.
Key Features of The Study:
This report provides in-depth analysis of the global Artificial Intelligence (AI) in Retail market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.
This report profiles key players in the global Artificial Intelligence (AI) in Retail market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Artificial Intelligence (AI) in Retail sales data, market share and ranking.
This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.
This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Artificial Intelligence (AI) in Retail covered in this report include IBM, Microsoft, Nvidia, Amazon Web Services, Oracle, SAP, Intel, Google and Sentient Technologies, etc.
The global Artificial Intelligence (AI) in Retail market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.
Market Segmentation
Company Profiles:
IBM
Microsoft
Nvidia
Amazon Web Services
Oracle
SAP
Intel
Sentient Technologies
Salesforce
Visenze
Global Artificial Intelligence (AI) in Retail market, by region:
North America (U.S., Canada, Mexico)
Europe (Germany, France, UK, Italy, etc.)
Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
South America (Brazil, etc.)
Middle East and Africa (Turkey, GCC Countries, Africa, etc.)
Global Artificial Intelligence (AI) in Retail market, Segment by Type:
Online Artificial Intelligence
Offline Artificial Intelligence
Global Artificial Intelligence (AI) in Retail market, by Application
Predictive Merchandising
Programmatic Advertising
Market Forecasting
In-Store Visual Monitoring and Surveillance
Location-Based Marketing
Other
Core Chapters
Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Artificial Intelligence (AI) in Retail companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion
Index1 Market Overview of Artificial Intelligence (AI) in Retail
1.1 Artificial Intelligence (AI) in Retail Market Overview
1.1.1 Artificial Intelligence (AI) in Retail Product Scope
1.1.2 Artificial Intelligence (AI) in Retail Market Status and Outlook
1.2 Global Artificial Intelligence (AI) in Retail Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Artificial Intelligence (AI) in Retail Market Size by Region (2018-2029)
1.4 Global Artificial Intelligence (AI) in Retail Historic Market Size by Region (2018-2023)
1.5 Global Artificial Intelligence (AI) in Retail Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Artificial Intelligence (AI) in Retail Market Size (2018-2029)
1.6.1 North America Artificial Intelligence (AI) in Retail Market Size (2018-2029)
1.6.2 Europe Artificial Intelligence (AI) in Retail Market Size (2018-2029)
1.6.3 Asia-Pacific Artificial Intelligence (AI) in Retail Market Size (2018-2029)
1.6.4 Latin America Artificial Intelligence (AI) in Retail Market Size (2018-2029)
1.6.5 Middle East & Africa Artificial Intelligence (AI) in Retail Market Size (2018-2029)
2 Artificial Intelligence (AI) in Retail Market by Type
2.1 Introduction
2.1.1 Online Artificial Intelligence
2.1.2 Offline Artificial Intelligence
2.2 Global Artificial Intelligence (AI) in Retail Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Artificial Intelligence (AI) in Retail Historic Market Size by Type (2018-2023)
2.2.2 Global Artificial Intelligence (AI) in Retail Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Artificial Intelligence (AI) in Retail Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Artificial Intelligence (AI) in Retail Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Artificial Intelligence (AI) in Retail Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Artificial Intelligence (AI) in Retail Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Artificial Intelligence (AI) in Retail Revenue Breakdown by Type (2018-2029)
3 Artificial Intelligence (AI) in Retail Market Overview by Application
3.1 Introduction
3.1.1 Predictive Merchandising
3.1.2 Programmatic Advertising
3.1.3 Market Forecasting
3.1.4 In-Store Visual Monitoring and Surveillance
3.1.5 Location-Based Marketing
3.1.6 Other
3.2 Global Artificial Intelligence (AI) in Retail Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Artificial Intelligence (AI) in Retail Historic Market Size by Application (2018-2023)
3.2.2 Global Artificial Intelligence (AI) in Retail Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Artificial Intelligence (AI) in Retail Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Artificial Intelligence (AI) in Retail Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Artificial Intelligence (AI) in Retail Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Artificial Intelligence (AI) in Retail Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Artificial Intelligence (AI) in Retail Revenue Breakdown by Application (2018-2029)
4 Artificial Intelligence (AI) in Retail Competition Analysis by Players
4.1 Global Artificial Intelligence (AI) in Retail Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Artificial Intelligence (AI) in Retail as of 2022)
4.3 Date of Key Players Enter into Artificial Intelligence (AI) in Retail Market
4.4 Global Top Players Artificial Intelligence (AI) in Retail Headquarters and Area Served
4.5 Key Players Artificial Intelligence (AI) in Retail Product Solution and Service
4.6 Competitive Status
4.6.1 Artificial Intelligence (AI) in Retail Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 IBM
5.1.1 IBM Profile
5.1.2 IBM Main Business
5.1.3 IBM Artificial Intelligence (AI) in Retail Products, Services and Solutions
5.1.4 IBM Artificial Intelligence (AI) in Retail Revenue (US$ Million) & (2018-2023)
5.1.5 IBM Recent Developments
5.2 Microsoft
5.2.1 Microsoft Profile
5.2.2 Microsoft Main Business
5.2.3 Microsoft Artificial Intelligence (AI) in Retail Products, Services and Solutions
5.2.4 Microsoft Artificial Intelligence (AI) in Retail Revenue (US$ Million) & (2018-2023)
5.2.5 Microsoft Recent Developments
5.3 Nvidia
5.3.1 Nvidia Profile
5.3.2 Nvidia Main Business
5.3.3 Nvidia Artificial Intelligence (AI) in Retail Products, Services and Solutions
5.3.4 Nvidia Artificial Intelligence (AI) in Retail Revenue (US$ Million) & (2018-2023)
5.3.5 Amazon Web Services Recent Developments
5.4 Amazon Web Services
5.4.1 Amazon Web Services Profile
5.4.2 Amazon Web Services Main Business
5.4.3 Amazon Web Services Artificial Intelligence (AI) in Retail Products, Services and Solutions
5.4.4 Amazon Web Services Artificial Intelligence (AI) in Retail Revenue (US$ Million) & (2018-2023)
5.4.5 Amazon Web Services Recent Developments
5.5 Oracle
5.5.1 Oracle Profile
5.5.2 Oracle Main Business
5.5.3 Oracle Artificial Intelligence (AI) in Retail Products, Services and Solutions
5.5.4 Oracle Artificial Intelligence (AI) in Retail Revenue (US$ Million) & (2018-2023)
5.5.5 Oracle Recent Developments
5.6 SAP
5.6.1 SAP Profile
5.6.2 SAP Main Business
5.6.3 SAP Artificial Intelligence (AI) in Retail Products, Services and Solutions
5.6.4 SAP Artificial Intelligence (AI) in Retail Revenue (US$ Million) & (2018-2023)
5.6.5 SAP Recent Developments
5.7 Intel
5.7.1 Intel Profile
5.7.2 Intel Main Business
5.7.3 Intel Artificial Intelligence (AI) in Retail Products, Services and Solutions
5.7.4 Intel Artificial Intelligence (AI) in Retail Revenue (US$ Million) & (2018-2023)
5.7.5 Intel Recent Developments
5.8 Google
5.8.1 Google Profile
5.8.2 Google Main Business
5.8.3 Google Artificial Intelligence (AI) in Retail Products, Services and Solutions
5.8.4 Google Artificial Intelligence (AI) in Retail Revenue (US$ Million) & (2018-2023)
5.8.5 Google Recent Developments
5.9 Sentient Technologies
5.9.1 Sentient Technologies Profile
5.9.2 Sentient Technologies Main Business
5.9.3 Sentient Technologies Artificial Intelligence (AI) in Retail Products, Services and Solutions
5.9.4 Sentient Technologies Artificial Intelligence (AI) in Retail Revenue (US$ Million) & (2018-2023)
5.9.5 Sentient Technologies Recent Developments
5.10 Salesforce
5.10.1 Salesforce Profile
5.10.2 Salesforce Main Business
5.10.3 Salesforce Artificial Intelligence (AI) in Retail Products, Services and Solutions
5.10.4 Salesforce Artificial Intelligence (AI) in Retail Revenue (US$ Million) & (2018-2023)
5.10.5 Salesforce Recent Developments
5.11 Visenze
5.11.1 Visenze Profile
5.11.2 Visenze Main Business
5.11.3 Visenze Artificial Intelligence (AI) in Retail Products, Services and Solutions
5.11.4 Visenze Artificial Intelligence (AI) in Retail Revenue (US$ Million) & (2018-2023)
5.11.5 Visenze Recent Developments
6 North America
6.1 North America Artificial Intelligence (AI) in Retail Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Artificial Intelligence (AI) in Retail Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence (AI) in Retail Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Artificial Intelligence (AI) in Retail Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence (AI) in Retail Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Artificial Intelligence (AI) in Retail Market Dynamics
11.1 Artificial Intelligence (AI) in Retail Industry Trends
11.2 Artificial Intelligence (AI) in Retail Market Drivers
11.3 Artificial Intelligence (AI) in Retail Market Challenges
11.4 Artificial Intelligence (AI) in Retail Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List
Published By : QY Research
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