

The global Spending on AI and Analytics in Retail market size was valued at US$ million in 2023. With growing demand in downstream market, the Spending on AI and Analytics in Retail is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during review period.
The research report highlights the growth potential of the global Spending on AI and Analytics in Retail market. Spending on AI and Analytics in Retail are expected to show stable growth in the future market. However, product differentiation, reducing costs, and supply chain optimization remain crucial for the widespread adoption of Spending on AI and Analytics in Retail. Market players need to invest in research and development, forge strategic partnerships, and align their offerings with evolving consumer preferences to capitalize on the immense opportunities presented by the Spending on AI and Analytics in Retail market.
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 1/85 of that of the United States.
Key Features:
The report on Spending on AI and Analytics in Retail market reflects various aspects and provide valuable insights into the industry.
Market Size and Growth: The research report provide an overview of the current size and growth of the Spending on AI and Analytics in Retail market. It may include historical data, market segmentation by Type (e.g., Hardware, Software), and regional breakdowns.
Market Drivers and Challenges: The report can identify and analyse the factors driving the growth of the Spending on AI and Analytics in Retail market, such as government regulations, environmental concerns, technological advancements, and changing consumer preferences. It can also highlight the challenges faced by the industry, including infrastructure limitations, range anxiety, and high upfront costs.
Competitive Landscape: The research report provides analysis of the competitive landscape within the Spending on AI and Analytics in Retail market. It includes profiles of key players, their market share, strategies, and product offerings. The report can also highlight emerging players and their potential impact on the market.
Technological Developments: The research report can delve into the latest technological developments in the Spending on AI and Analytics in Retail industry. This include advancements in Spending on AI and Analytics in Retail technology, Spending on AI and Analytics in Retail new entrants, Spending on AI and Analytics in Retail new investment, and other innovations that are shaping the future of Spending on AI and Analytics in Retail.
Downstream Procumbent Preference: The report can shed light on customer procumbent behaviour and adoption trends in the Spending on AI and Analytics in Retail market. It includes factors influencing customer ' purchasing decisions, preferences for Spending on AI and Analytics in Retail product.
Government Policies and Incentives: The research report analyse the impact of government policies and incentives on the Spending on AI and Analytics in Retail market. This may include an assessment of regulatory frameworks, subsidies, tax incentives, and other measures aimed at promoting Spending on AI and Analytics in Retail market. The report also evaluates the effectiveness of these policies in driving market growth.
Environmental Impact and Sustainability: The research report assess the environmental impact and sustainability aspects of the Spending on AI and Analytics in Retail market.
Market Forecasts and Future Outlook: Based on the analysis conducted, the research report provide market forecasts and outlook for the Spending on AI and Analytics in Retail industry. This includes projections of market size, growth rates, regional trends, and predictions on technological advancements and policy developments.
Recommendations and Opportunities: The report conclude with recommendations for industry stakeholders, policymakers, and investors. It highlights potential opportunities for market players to capitalize on emerging trends, overcome challenges, and contribute to the growth and development of the Spending on AI and Analytics in Retail market.
Market Segmentation:
Spending on AI and Analytics in Retail market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Segmentation by type
Hardware
Software
Services
Segmentation by application
Predictive Merchandising
Programmatic Advertising
Market Forecasting
In-Store Visual Monitoring and Surveillance
Location-Based Marketing
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Cisco Systems
IBM
Microsoft
Nvidia
Amazon Web Services
Oracle
SAP
Intel
Google
Sentient Technologies
Salesforce
Visenze
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Scope of the Report
1.1 Market Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 Market Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 Market Estimation Caveats
2 Executive Summary
2.1 World Market Overview
2.1.1 Global Spending on AI and Analytics in Retail Market Size 2019-2030
2.1.2 Spending on AI and Analytics in Retail Market Size CAGR by Region 2019 VS 2023 VS 2030
2.2 Spending on AI and Analytics in Retail Segment by Type
2.2.1 Hardware
2.2.2 Software
2.2.3 Services
2.3 Spending on AI and Analytics in Retail Market Size by Type
2.3.1 Spending on AI and Analytics in Retail Market Size CAGR by Type (2019 VS 2023 VS 2030)
2.3.2 Global Spending on AI and Analytics in Retail Market Size Market Share by Type (2019-2024)
2.4 Spending on AI and Analytics in Retail Segment by Application
2.4.1 Predictive Merchandising
2.4.2 Programmatic Advertising
2.4.3 Market Forecasting
2.4.4 In-Store Visual Monitoring and Surveillance
2.4.5 Location-Based Marketing
2.4.6 Others
2.5 Spending on AI and Analytics in Retail Market Size by Application
2.5.1 Spending on AI and Analytics in Retail Market Size CAGR by Application (2019 VS 2023 VS 2030)
2.5.2 Global Spending on AI and Analytics in Retail Market Size Market Share by Application (2019-2024)
3 Spending on AI and Analytics in Retail Market Size by Player
3.1 Spending on AI and Analytics in Retail Market Size Market Share by Players
3.1.1 Global Spending on AI and Analytics in Retail Revenue by Players (2019-2024)
3.1.2 Global Spending on AI and Analytics in Retail Revenue Market Share by Players (2019-2024)
3.2 Global Spending on AI and Analytics in Retail Key Players Head office and Products Offered
3.3 Market Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2022-2024)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 Spending on AI and Analytics in Retail by Regions
4.1 Spending on AI and Analytics in Retail Market Size by Regions (2019-2024)
4.2 Americas Spending on AI and Analytics in Retail Market Size Growth (2019-2024)
4.3 APAC Spending on AI and Analytics in Retail Market Size Growth (2019-2024)
4.4 Europe Spending on AI and Analytics in Retail Market Size Growth (2019-2024)
4.5 Middle East & Africa Spending on AI and Analytics in Retail Market Size Growth (2019-2024)
5 Americas
5.1 Americas Spending on AI and Analytics in Retail Market Size by Country (2019-2024)
5.2 Americas Spending on AI and Analytics in Retail Market Size by Type (2019-2024)
5.3 Americas Spending on AI and Analytics in Retail Market Size by Application (2019-2024)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Spending on AI and Analytics in Retail Market Size by Region (2019-2024)
6.2 APAC Spending on AI and Analytics in Retail Market Size by Type (2019-2024)
6.3 APAC Spending on AI and Analytics in Retail Market Size by Application (2019-2024)
6.4 China
6.5 Japan
6.6 Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe Spending on AI and Analytics in Retail by Country (2019-2024)
7.2 Europe Spending on AI and Analytics in Retail Market Size by Type (2019-2024)
7.3 Europe Spending on AI and Analytics in Retail Market Size by Application (2019-2024)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Spending on AI and Analytics in Retail by Region (2019-2024)
8.2 Middle East & Africa Spending on AI and Analytics in Retail Market Size by Type (2019-2024)
8.3 Middle East & Africa Spending on AI and Analytics in Retail Market Size by Application (2019-2024)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 Market Drivers, Challenges and Trends
9.1 Market Drivers & Growth Opportunities
9.2 Market Challenges & Risks
9.3 Industry Trends
10 Global Spending on AI and Analytics in Retail Market Forecast
10.1 Global Spending on AI and Analytics in Retail Forecast by Regions (2025-2030)
10.1.1 Global Spending on AI and Analytics in Retail Forecast by Regions (2025-2030)
10.1.2 Americas Spending on AI and Analytics in Retail Forecast
10.1.3 APAC Spending on AI and Analytics in Retail Forecast
10.1.4 Europe Spending on AI and Analytics in Retail Forecast
10.1.5 Middle East & Africa Spending on AI and Analytics in Retail Forecast
10.2 Americas Spending on AI and Analytics in Retail Forecast by Country (2025-2030)
10.2.1 United States Spending on AI and Analytics in Retail Market Forecast
10.2.2 Canada Spending on AI and Analytics in Retail Market Forecast
10.2.3 Mexico Spending on AI and Analytics in Retail Market Forecast
10.2.4 Brazil Spending on AI and Analytics in Retail Market Forecast
10.3 APAC Spending on AI and Analytics in Retail Forecast by Region (2025-2030)
10.3.1 China Spending on AI and Analytics in Retail Market Forecast
10.3.2 Japan Spending on AI and Analytics in Retail Market Forecast
10.3.3 Korea Spending on AI and Analytics in Retail Market Forecast
10.3.4 Southeast Asia Spending on AI and Analytics in Retail Market Forecast
10.3.5 India Spending on AI and Analytics in Retail Market Forecast
10.3.6 Australia Spending on AI and Analytics in Retail Market Forecast
10.4 Europe Spending on AI and Analytics in Retail Forecast by Country (2025-2030)
10.4.1 Germany Spending on AI and Analytics in Retail Market Forecast
10.4.2 France Spending on AI and Analytics in Retail Market Forecast
10.4.3 UK Spending on AI and Analytics in Retail Market Forecast
10.4.4 Italy Spending on AI and Analytics in Retail Market Forecast
10.4.5 Russia Spending on AI and Analytics in Retail Market Forecast
10.5 Middle East & Africa Spending on AI and Analytics in Retail Forecast by Region (2025-2030)
10.5.1 Egypt Spending on AI and Analytics in Retail Market Forecast
10.5.2 South Africa Spending on AI and Analytics in Retail Market Forecast
10.5.3 Israel Spending on AI and Analytics in Retail Market Forecast
10.5.4 Turkey Spending on AI and Analytics in Retail Market Forecast
10.5.5 GCC Countries Spending on AI and Analytics in Retail Market Forecast
10.6 Global Spending on AI and Analytics in Retail Forecast by Type (2025-2030)
10.7 Global Spending on AI and Analytics in Retail Forecast by Application (2025-2030)
11 Key Players Analysis
11.1 Cisco Systems
11.1.1 Cisco Systems Company Information
11.1.2 Cisco Systems Spending on AI and Analytics in Retail Product Offered
11.1.3 Cisco Systems Spending on AI and Analytics in Retail Revenue, Gross Margin and Market Share (2019-2024)
11.1.4 Cisco Systems Main Business Overview
11.1.5 Cisco Systems Latest Developments
11.2 IBM
11.2.1 IBM Company Information
11.2.2 IBM Spending on AI and Analytics in Retail Product Offered
11.2.3 IBM Spending on AI and Analytics in Retail Revenue, Gross Margin and Market Share (2019-2024)
11.2.4 IBM Main Business Overview
11.2.5 IBM Latest Developments
11.3 Microsoft
11.3.1 Microsoft Company Information
11.3.2 Microsoft Spending on AI and Analytics in Retail Product Offered
11.3.3 Microsoft Spending on AI and Analytics in Retail Revenue, Gross Margin and Market Share (2019-2024)
11.3.4 Microsoft Main Business Overview
11.3.5 Microsoft Latest Developments
11.4 Nvidia
11.4.1 Nvidia Company Information
11.4.2 Nvidia Spending on AI and Analytics in Retail Product Offered
11.4.3 Nvidia Spending on AI and Analytics in Retail Revenue, Gross Margin and Market Share (2019-2024)
11.4.4 Nvidia Main Business Overview
11.4.5 Nvidia Latest Developments
11.5 Amazon Web Services
11.5.1 Amazon Web Services Company Information
11.5.2 Amazon Web Services Spending on AI and Analytics in Retail Product Offered
11.5.3 Amazon Web Services Spending on AI and Analytics in Retail Revenue, Gross Margin and Market Share (2019-2024)
11.5.4 Amazon Web Services Main Business Overview
11.5.5 Amazon Web Services Latest Developments
11.6 Oracle
11.6.1 Oracle Company Information
11.6.2 Oracle Spending on AI and Analytics in Retail Product Offered
11.6.3 Oracle Spending on AI and Analytics in Retail Revenue, Gross Margin and Market Share (2019-2024)
11.6.4 Oracle Main Business Overview
11.6.5 Oracle Latest Developments
11.7 SAP
11.7.1 SAP Company Information
11.7.2 SAP Spending on AI and Analytics in Retail Product Offered
11.7.3 SAP Spending on AI and Analytics in Retail Revenue, Gross Margin and Market Share (2019-2024)
11.7.4 SAP Main Business Overview
11.7.5 SAP Latest Developments
11.8 Intel
11.8.1 Intel Company Information
11.8.2 Intel Spending on AI and Analytics in Retail Product Offered
11.8.3 Intel Spending on AI and Analytics in Retail Revenue, Gross Margin and Market Share (2019-2024)
11.8.4 Intel Main Business Overview
11.8.5 Intel Latest Developments
11.9 Google
11.9.1 Google Company Information
11.9.2 Google Spending on AI and Analytics in Retail Product Offered
11.9.3 Google Spending on AI and Analytics in Retail Revenue, Gross Margin and Market Share (2019-2024)
11.9.4 Google Main Business Overview
11.9.5 Google Latest Developments
11.10 Sentient Technologies
11.10.1 Sentient Technologies Company Information
11.10.2 Sentient Technologies Spending on AI and Analytics in Retail Product Offered
11.10.3 Sentient Technologies Spending on AI and Analytics in Retail Revenue, Gross Margin and Market Share (2019-2024)
11.10.4 Sentient Technologies Main Business Overview
11.10.5 Sentient Technologies Latest Developments
11.11 Salesforce
11.11.1 Salesforce Company Information
11.11.2 Salesforce Spending on AI and Analytics in Retail Product Offered
11.11.3 Salesforce Spending on AI and Analytics in Retail Revenue, Gross Margin and Market Share (2019-2024)
11.11.4 Salesforce Main Business Overview
11.11.5 Salesforce Latest Developments
11.12 Visenze
11.12.1 Visenze Company Information
11.12.2 Visenze Spending on AI and Analytics in Retail Product Offered
11.12.3 Visenze Spending on AI and Analytics in Retail Revenue, Gross Margin and Market Share (2019-2024)
11.12.4 Visenze Main Business Overview
11.12.5 Visenze Latest Developments
12 Research Findings and Conclusion
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*If Applicable.