Global and India Artificial Intelligence (AI) in Retail Market Report & Forecast 2024-2034
Published on: 2024-01-04 | No of Pages : 400 | Industry : Software
Publisher : MRA | Format : PDF
Global and India Artificial Intelligence (AI) in Retail Market Report & Forecast 2024-2034
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.
Market Analysis and InsightsGlobal and India Artificial Intelligence (AI) in Retail Market
This report focuses on global and India Artificial Intelligence (AI) in Retail market, also covers the segmentation data of other regions in regional level and county level.
The global Artificial Intelligence (AI) in Retail revenue was US$ million in 2023 and is forecast to a readjusted size of US$ million by 2033 with a CAGR of % during the review period (2023-2033).
In India the Artificial Intelligence (AI) in Retail revenue is expected to grow from US$ million in 2023 to US$ million by 2033, at a CAGR of % during the forecast period 2023-2033.
The global key players 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. The global five biggest players hold a share of % in 2023.
Global Artificial Intelligence (AI) in Retail Scope and Market Size
Artificial Intelligence (AI) in Retail market is segmented in regional and country level, by players, by Type and by Application. Companies, stakeholders, and other participants in the global Artificial Intelligence (AI) in Retail market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application for the period 2018-2033.
For India market, this report focuses on the Artificial Intelligence (AI) in Retail market size by players, by Type and by Application, for the period 2018-2033. The key players include the global and local players, which play important roles in India.
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.
Segment by Type
Machine Learning
Natural Language Processing(NLP)
Computer Vision
Others
Automated Merchandising
Programmatic Advertising
Market Forecasting
In Store Al & Location Optimization
Data Science
Others
By Region
Americas
United States
Canada
Mexico
Brazil
China
APAC (excluding China)
Japan
South Korea
China Taiwan
ASEAN
India
EMEA
Europe
Middle East
Africa
Chapter 1Introduces Artificial Intelligence (AI) in Retail definition, global market size, India market size, India percentage in global market. 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 2Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 3Provides the analysis of various market segments by application, covering the revenue and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 4Detailed analysis of Artificial Intelligence (AI) in Retail companies’ competitive landscape, revenue, market share and industry ranking, latest development plan, merger and acquisition information, etc.
Chapter 5Revenue of Artificial Intelligence (AI) in Retail in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space of each country in the world.
Chapter 6Americas by type, by application and by country revenue for each segment.
Chapter 7EMEA by type, by application and by region, revenue for each segment.
Chapter 8China by type, by application revenue for each segment.
Chapter 9APAC (excluding China) by type, by application and by region, revenue for each segment.
Chapter 10Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Artificial Intelligence (AI) in Retail revenue, gross margin and recent development, etc.
Chapter 11Analyst's Viewpoints/Conclusions
Market Analysis and InsightsGlobal and India Artificial Intelligence (AI) in Retail Market
This report focuses on global and India Artificial Intelligence (AI) in Retail market, also covers the segmentation data of other regions in regional level and county level.
The global Artificial Intelligence (AI) in Retail revenue was US$ million in 2023 and is forecast to a readjusted size of US$ million by 2033 with a CAGR of % during the review period (2023-2033).
In India the Artificial Intelligence (AI) in Retail revenue is expected to grow from US$ million in 2023 to US$ million by 2033, at a CAGR of % during the forecast period 2023-2033.
The global key players 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. The global five biggest players hold a share of % in 2023.
Global Artificial Intelligence (AI) in Retail Scope and Market Size
Artificial Intelligence (AI) in Retail market is segmented in regional and country level, by players, by Type and by Application. Companies, stakeholders, and other participants in the global Artificial Intelligence (AI) in Retail market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application for the period 2018-2033.
For India market, this report focuses on the Artificial Intelligence (AI) in Retail market size by players, by Type and by Application, for the period 2018-2033. The key players include the global and local players, which play important roles in India.
By Company
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.
Segment by Type
Machine Learning
Natural Language Processing(NLP)
Computer Vision
Others
Segment by Application
Automated Merchandising
Programmatic Advertising
Market Forecasting
In Store Al & Location Optimization
Data Science
Others
By Region
Americas
United States
Canada
Mexico
Brazil
China
APAC (excluding China)
Japan
South Korea
China Taiwan
ASEAN
India
EMEA
Europe
Middle East
Africa
Chapter Introduction
Chapter 1Introduces Artificial Intelligence (AI) in Retail definition, global market size, India market size, India percentage in global market. 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 2Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 3Provides the analysis of various market segments by application, covering the revenue and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 4Detailed analysis of Artificial Intelligence (AI) in Retail companies’ competitive landscape, revenue, market share and industry ranking, latest development plan, merger and acquisition information, etc.
Chapter 5Revenue of Artificial Intelligence (AI) in Retail in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space of each country in the world.
Chapter 6Americas by type, by application and by country revenue for each segment.
Chapter 7EMEA by type, by application and by region, revenue for each segment.
Chapter 8China by type, by application revenue for each segment.
Chapter 9APAC (excluding China) by type, by application and by region, revenue for each segment.
Chapter 10Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Artificial Intelligence (AI) in Retail revenue, gross margin and recent development, etc.
Chapter 11Analyst's Viewpoints/Conclusions
Electronic and Semiconductor
Food and Beverages
Chemicals and Materials
Consumer Goods
Construction Manufacturing
Aerospace and Defence
Energy and Power
ICT Media
Banking and Finance
Automotive and Transportation
Machinery and Equipments
Pharmaceutical and Healthcare
Medical Devices