Report overview
The global Artificial Intelligence (AI) in Retail market was valued at US$ million in 2023 and is projected to reach US$ million by 2030, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2023, While China is to reach $ Million.
Machine Learning Segment to Reach $ Million by 2030, with a % CAGR in next six years.
The global key manufacturers of Artificial Intelligence (AI) in Retail include Oracle Corporation, Amazon Web Services (AwS), BloomReach lnc, BMCorporation, Intel Corporation, Interactions LLC, Microsoft Corporation, Nvidia Corporation and RetailNext Inc, etc. in 2023, the global top five players have a share approximately % in terms of revenue.
AI helps retailers improve demand forecasting, make pricing decisions, and optimize product placement. As a result, customers connect with the right products, in the right place, at the right time. Predictive analytics can help you order the right amount of stock so that stores won't end up with too much or too little.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence (AI) in Retail, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence (AI) in Retail. This report contains market size and forecasts of Artificial Intelligence (AI) in Retail in global, including the following market information:
Global Artificial Intelligence (AI) in Retail Market Revenue, 2019-2024, 2025-2030, ($ millions)
Global top five companies in 2023 (%)
We surveyed the Artificial Intelligence (AI) in Retail companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Artificial Intelligence (AI) in Retail Market, by Type, 2019-2024, 2025-2030 ($ millions)
Global Artificial Intelligence (AI) in Retail Market Segment Percentages, by Type, 2023 (%)
Machine Learning
Natural Language Processing(NLP)
Computer Vision
Others
Global Artificial Intelligence (AI) in Retail Market, by Application, 2019-2024, 2025-2030 ($ millions)
Global Artificial Intelligence (AI) in Retail Market Segment Percentages, by Application, 2023 (%)
Automated Merchandising
Programmatic Advertising
Market Forecasting
In Store Al & Location Optimization
Data Science
Others
Global Artificial Intelligence (AI) in Retail Market, By Region and Country, 2019-2024, 2025-2030 ($ Millions)
Global Artificial Intelligence (AI) in Retail Market Segment Percentages, By Region and Country, 2023 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Artificial Intelligence (AI) in Retail revenues in global market, 2019-2024 (estimated), ($ millions)
Key companies Artificial Intelligence (AI) in Retail revenues share in global market, 2023 (%)
Further, the report presents profiles of competitors in the market, key players include:
Oracle Corporation
Amazon Web Services (AwS)
BloomReach lnc
BMCorporation
Intel Corporation
Interactions LLC
Microsoft Corporation
Nvidia Corporation
RetailNext Inc
Next IT Corp.
InbentaTechnologies,
Salesforce.com Inc.
Lexalytics lnc
SAP SE
Sentient Technologies
Google Inc.
CognitveScale lnc.
Visenze
Baidu lnc.
Symbotic.
Outline of Major Chapters:
Chapter 1: Introduces the definition of Artificial Intelligence (AI) in Retail, market overview.
Chapter 2: Global Artificial Intelligence (AI) in Retail market size in revenue.
Chapter 3: Detailed analysis of Artificial Intelligence (AI) in Retail company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6: Sales of Artificial Intelligence (AI) in Retail in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.
