Global Spending on AI and Analytics in Retail Market Research Report 2025

Publication ID:

PB501257146

Publication Date:

January 16, 2025

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Spending on AI and Analytics in Retail was valued at US$ million in the year 2024 and is projected to reach a revised size of US$ million by 2031, growing at a CAGR of %during the forecast 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 楼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 1/85 of that of the United States.
This report aims to provide a comprehensive presentation of the global market for Spending on AI and Analytics 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 Spending on AI and Analytics in Retail.
The Spending on AI and Analytics in Retail market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Spending on AI and Analytics in Retail market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Spending on AI and Analytics in Retail companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Cisco Systems
IBM
Microsoft
Nvidia
Amazon Web Services
Oracle
SAP
Intel
Google
Sentient Technologies
Salesforce
Visenze
Segment by Type
Hardware
Software
Services
Segment by Application
Predictive Merchandising
Programmatic Advertising
Market Forecasting
In-Store Visual Monitoring and Surveillance
Location-Based Marketing
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. 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 2: Introduces executive summary of global market size, regional market size, 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 3: Detailed analysis of Spending on AI and Analytics in Retail company competitive landscape, revenue 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, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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, and capacity of each country in the world.
Chapter 11: 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 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Spending on AI and Analytics in Retail Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Hardware
1.2.3 Software
1.2.4 Services
1.3 Market by Application
1.3.1 Global Spending on AI and Analytics in Retail Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Predictive Merchandising
1.3.3 Programmatic Advertising
1.3.4 Market Forecasting
1.3.5 In-Store Visual Monitoring and Surveillance
1.3.6 Location-Based Marketing
1.3.7 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Spending on AI and Analytics in Retail Market Perspective (2020-2031)
2.2 Global Spending on AI and Analytics in Retail Growth Trends by Region
2.2.1 Global Spending on AI and Analytics in Retail Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 Spending on AI and Analytics in Retail Historic Market Size by Region (2020-2025)
2.2.3 Spending on AI and Analytics in Retail Forecasted Market Size by Region (2026-2031)
2.3 Spending on AI and Analytics in Retail Market Dynamics
2.3.1 Spending on AI and Analytics in Retail Industry Trends
2.3.2 Spending on AI and Analytics in Retail Market Drivers
2.3.3 Spending on AI and Analytics in Retail Market Challenges
2.3.4 Spending on AI and Analytics in Retail Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Spending on AI and Analytics in Retail Players by Revenue
3.1.1 Global Top Spending on AI and Analytics in Retail Players by Revenue (2020-2025)
3.1.2 Global Spending on AI and Analytics in Retail Revenue Market Share by Players (2020-2025)
3.2 Global Spending on AI and Analytics in Retail Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Spending on AI and Analytics in Retail Revenue
3.4 Global Spending on AI and Analytics in Retail Market Concentration Ratio
3.4.1 Global Spending on AI and Analytics in Retail Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Spending on AI and Analytics in Retail Revenue in 2024
3.5 Global Key Players of Spending on AI and Analytics in Retail Head office and Area Served
3.6 Global Key Players of Spending on AI and Analytics in Retail, Product and Application
3.7 Global Key Players of Spending on AI and Analytics in Retail, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Spending on AI and Analytics in Retail Breakdown Data by Type
4.1 Global Spending on AI and Analytics in Retail Historic Market Size by Type (2020-2025)
4.2 Global Spending on AI and Analytics in Retail Forecasted Market Size by Type (2026-2031)
5 Spending on AI and Analytics in Retail Breakdown Data by Application
5.1 Global Spending on AI and Analytics in Retail Historic Market Size by Application (2020-2025)
5.2 Global Spending on AI and Analytics in Retail Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America Spending on AI and Analytics in Retail Market Size (2020-2031)
6.2 North America Spending on AI and Analytics in Retail Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Spending on AI and Analytics in Retail Market Size by Country (2020-2025)
6.4 North America Spending on AI and Analytics in Retail Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Spending on AI and Analytics in Retail Market Size (2020-2031)
7.2 Europe Spending on AI and Analytics in Retail Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Spending on AI and Analytics in Retail Market Size by Country (2020-2025)
7.4 Europe Spending on AI and Analytics in Retail Market Size by Country (2026-2031)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Spending on AI and Analytics in Retail Market Size (2020-2031)
8.2 Asia-Pacific Spending on AI and Analytics in Retail Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Spending on AI and Analytics in Retail Market Size by Region (2020-2025)
8.4 Asia-Pacific Spending on AI and Analytics in Retail Market Size by Region (2026-2031)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Spending on AI and Analytics in Retail Market Size (2020-2031)
9.2 Latin America Spending on AI and Analytics in Retail Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Spending on AI and Analytics in Retail Market Size by Country (2020-2025)
9.4 Latin America Spending on AI and Analytics in Retail Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Spending on AI and Analytics in Retail Market Size (2020-2031)
10.2 Middle East & Africa Spending on AI and Analytics in Retail Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Spending on AI and Analytics in Retail Market Size by Country (2020-2025)
10.4 Middle East & Africa Spending on AI and Analytics in Retail Market Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Cisco Systems
11.1.1 Cisco Systems Company Details
11.1.2 Cisco Systems Business Overview
11.1.3 Cisco Systems Spending on AI and Analytics in Retail Introduction
11.1.4 Cisco Systems Revenue in Spending on AI and Analytics in Retail Business (2020-2025)
11.1.5 Cisco Systems Recent Development
11.2 IBM
11.2.1 IBM Company Details
11.2.2 IBM Business Overview
11.2.3 IBM Spending on AI and Analytics in Retail Introduction
11.2.4 IBM Revenue in Spending on AI and Analytics in Retail Business (2020-2025)
11.2.5 IBM Recent Development
11.3 Microsoft
11.3.1 Microsoft Company Details
11.3.2 Microsoft Business Overview
11.3.3 Microsoft Spending on AI and Analytics in Retail Introduction
11.3.4 Microsoft Revenue in Spending on AI and Analytics in Retail Business (2020-2025)
11.3.5 Microsoft Recent Development
11.4 Nvidia
11.4.1 Nvidia Company Details
11.4.2 Nvidia Business Overview
11.4.3 Nvidia Spending on AI and Analytics in Retail Introduction
11.4.4 Nvidia Revenue in Spending on AI and Analytics in Retail Business (2020-2025)
11.4.5 Nvidia Recent Development
11.5 Amazon Web Services
11.5.1 Amazon Web Services Company Details
11.5.2 Amazon Web Services Business Overview
11.5.3 Amazon Web Services Spending on AI and Analytics in Retail Introduction
11.5.4 Amazon Web Services Revenue in Spending on AI and Analytics in Retail Business (2020-2025)
11.5.5 Amazon Web Services Recent Development
11.6 Oracle
11.6.1 Oracle Company Details
11.6.2 Oracle Business Overview
11.6.3 Oracle Spending on AI and Analytics in Retail Introduction
11.6.4 Oracle Revenue in Spending on AI and Analytics in Retail Business (2020-2025)
11.6.5 Oracle Recent Development
11.7 SAP
11.7.1 SAP Company Details
11.7.2 SAP Business Overview
11.7.3 SAP Spending on AI and Analytics in Retail Introduction
11.7.4 SAP Revenue in Spending on AI and Analytics in Retail Business (2020-2025)
11.7.5 SAP Recent Development
11.8 Intel
11.8.1 Intel Company Details
11.8.2 Intel Business Overview
11.8.3 Intel Spending on AI and Analytics in Retail Introduction
11.8.4 Intel Revenue in Spending on AI and Analytics in Retail Business (2020-2025)
11.8.5 Intel Recent Development
11.9 Google
11.9.1 Google Company Details
11.9.2 Google Business Overview
11.9.3 Google Spending on AI and Analytics in Retail Introduction
11.9.4 Google Revenue in Spending on AI and Analytics in Retail Business (2020-2025)
11.9.5 Google Recent Development
11.10 Sentient Technologies
11.10.1 Sentient Technologies Company Details
11.10.2 Sentient Technologies Business Overview
11.10.3 Sentient Technologies Spending on AI and Analytics in Retail Introduction
11.10.4 Sentient Technologies Revenue in Spending on AI and Analytics in Retail Business (2020-2025)
11.10.5 Sentient Technologies Recent Development
11.11 Salesforce
11.11.1 Salesforce Company Details
11.11.2 Salesforce Business Overview
11.11.3 Salesforce Spending on AI and Analytics in Retail Introduction
11.11.4 Salesforce Revenue in Spending on AI and Analytics in Retail Business (2020-2025)
11.11.5 Salesforce Recent Development
11.12 Visenze
11.12.1 Visenze Company Details
11.12.2 Visenze Business Overview
11.12.3 Visenze Spending on AI and Analytics in Retail Introduction
11.12.4 Visenze Revenue in Spending on AI and Analytics in Retail Business (2020-2025)
11.12.5 Visenze Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

Cisco Systems
IBM
Microsoft
Nvidia
Amazon Web Services
Oracle
SAP
Intel
Google
Sentient Technologies
Salesforce
Visenze

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