

The global Machine Learning in Retail market size was valued at US$ 2432.9 million in 2023. With growing demand in downstream market, the Machine Learning in Retail is forecast to a readjusted size of US$ 3687.4 million by 2030 with a CAGR of 6.1% during review period.
The research report highlights the growth potential of the global Machine Learning in Retail market. Machine Learning 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 Machine Learning 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 Machine Learning in Retail market.
In the retail sector, top competitors like Amazon, Walmart, Target, and Home Depot clearly and publicly rely on data, analytics, and machine learning to create their market edge. As a result, ML is fast becoming a commonly used tool among retail marketers.
Key Features:
The report on Machine Learning 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 Machine Learning in Retail market. It may include historical data, market segmentation by Type (e.g., Cloud Based, On-Premises), and regional breakdowns.
Market Drivers and Challenges: The report can identify and analyse the factors driving the growth of the Machine Learning 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 Machine Learning 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 Machine Learning in Retail industry. This include advancements in Machine Learning in Retail technology, Machine Learning in Retail new entrants, Machine Learning in Retail new investment, and other innovations that are shaping the future of Machine Learning in Retail.
Downstream Procumbent Preference: The report can shed light on customer procumbent behaviour and adoption trends in the Machine Learning in Retail market. It includes factors influencing customer ' purchasing decisions, preferences for Machine Learning in Retail product.
Government Policies and Incentives: The research report analyse the impact of government policies and incentives on the Machine Learning in Retail market. This may include an assessment of regulatory frameworks, subsidies, tax incentives, and other measures aimed at promoting Machine Learning 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 Machine Learning in Retail market.
Market Forecasts and Future Outlook: Based on the analysis conducted, the research report provide market forecasts and outlook for the Machine Learning 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 Machine Learning in Retail market.
Market Segmentation:
Machine Learning 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
Cloud Based
On-Premises
Segmentation by application
Online
Offline
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.
IBM
Microsoft
Amazon Web Services
Oracle
SAP
Intel
NVIDIA
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 Machine Learning in Retail Market Size 2019-2030
2.1.2 Machine Learning in Retail Market Size CAGR by Region 2019 VS 2023 VS 2030
2.2 Machine Learning in Retail Segment by Type
2.2.1 Cloud Based
2.2.2 On-Premises
2.3 Machine Learning in Retail Market Size by Type
2.3.1 Machine Learning in Retail Market Size CAGR by Type (2019 VS 2023 VS 2030)
2.3.2 Global Machine Learning in Retail Market Size Market Share by Type (2019-2024)
2.4 Machine Learning in Retail Segment by Application
2.4.1 Online
2.4.2 Offline
2.5 Machine Learning in Retail Market Size by Application
2.5.1 Machine Learning in Retail Market Size CAGR by Application (2019 VS 2023 VS 2030)
2.5.2 Global Machine Learning in Retail Market Size Market Share by Application (2019-2024)
3 Machine Learning in Retail Market Size by Player
3.1 Machine Learning in Retail Market Size Market Share by Players
3.1.1 Global Machine Learning in Retail Revenue by Players (2019-2024)
3.1.2 Global Machine Learning in Retail Revenue Market Share by Players (2019-2024)
3.2 Global Machine Learning 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 Machine Learning in Retail by Regions
4.1 Machine Learning in Retail Market Size by Regions (2019-2024)
4.2 Americas Machine Learning in Retail Market Size Growth (2019-2024)
4.3 APAC Machine Learning in Retail Market Size Growth (2019-2024)
4.4 Europe Machine Learning in Retail Market Size Growth (2019-2024)
4.5 Middle East & Africa Machine Learning in Retail Market Size Growth (2019-2024)
5 Americas
5.1 Americas Machine Learning in Retail Market Size by Country (2019-2024)
5.2 Americas Machine Learning in Retail Market Size by Type (2019-2024)
5.3 Americas Machine Learning 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 Machine Learning in Retail Market Size by Region (2019-2024)
6.2 APAC Machine Learning in Retail Market Size by Type (2019-2024)
6.3 APAC Machine Learning 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 Machine Learning in Retail by Country (2019-2024)
7.2 Europe Machine Learning in Retail Market Size by Type (2019-2024)
7.3 Europe Machine Learning 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 Machine Learning in Retail by Region (2019-2024)
8.2 Middle East & Africa Machine Learning in Retail Market Size by Type (2019-2024)
8.3 Middle East & Africa Machine Learning 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 Machine Learning in Retail Market Forecast
10.1 Global Machine Learning in Retail Forecast by Regions (2025-2030)
10.1.1 Global Machine Learning in Retail Forecast by Regions (2025-2030)
10.1.2 Americas Machine Learning in Retail Forecast
10.1.3 APAC Machine Learning in Retail Forecast
10.1.4 Europe Machine Learning in Retail Forecast
10.1.5 Middle East & Africa Machine Learning in Retail Forecast
10.2 Americas Machine Learning in Retail Forecast by Country (2025-2030)
10.2.1 United States Machine Learning in Retail Market Forecast
10.2.2 Canada Machine Learning in Retail Market Forecast
10.2.3 Mexico Machine Learning in Retail Market Forecast
10.2.4 Brazil Machine Learning in Retail Market Forecast
10.3 APAC Machine Learning in Retail Forecast by Region (2025-2030)
10.3.1 China Machine Learning in Retail Market Forecast
10.3.2 Japan Machine Learning in Retail Market Forecast
10.3.3 Korea Machine Learning in Retail Market Forecast
10.3.4 Southeast Asia Machine Learning in Retail Market Forecast
10.3.5 India Machine Learning in Retail Market Forecast
10.3.6 Australia Machine Learning in Retail Market Forecast
10.4 Europe Machine Learning in Retail Forecast by Country (2025-2030)
10.4.1 Germany Machine Learning in Retail Market Forecast
10.4.2 France Machine Learning in Retail Market Forecast
10.4.3 UK Machine Learning in Retail Market Forecast
10.4.4 Italy Machine Learning in Retail Market Forecast
10.4.5 Russia Machine Learning in Retail Market Forecast
10.5 Middle East & Africa Machine Learning in Retail Forecast by Region (2025-2030)
10.5.1 Egypt Machine Learning in Retail Market Forecast
10.5.2 South Africa Machine Learning in Retail Market Forecast
10.5.3 Israel Machine Learning in Retail Market Forecast
10.5.4 Turkey Machine Learning in Retail Market Forecast
10.5.5 GCC Countries Machine Learning in Retail Market Forecast
10.6 Global Machine Learning in Retail Forecast by Type (2025-2030)
10.7 Global Machine Learning in Retail Forecast by Application (2025-2030)
11 Key Players Analysis
11.1 IBM
11.1.1 IBM Company Information
11.1.2 IBM Machine Learning in Retail Product Offered
11.1.3 IBM Machine Learning in Retail Revenue, Gross Margin and Market Share (2019-2024)
11.1.4 IBM Main Business Overview
11.1.5 IBM Latest Developments
11.2 Microsoft
11.2.1 Microsoft Company Information
11.2.2 Microsoft Machine Learning in Retail Product Offered
11.2.3 Microsoft Machine Learning in Retail Revenue, Gross Margin and Market Share (2019-2024)
11.2.4 Microsoft Main Business Overview
11.2.5 Microsoft Latest Developments
11.3 Amazon Web Services
11.3.1 Amazon Web Services Company Information
11.3.2 Amazon Web Services Machine Learning in Retail Product Offered
11.3.3 Amazon Web Services Machine Learning in Retail Revenue, Gross Margin and Market Share (2019-2024)
11.3.4 Amazon Web Services Main Business Overview
11.3.5 Amazon Web Services Latest Developments
11.4 Oracle
11.4.1 Oracle Company Information
11.4.2 Oracle Machine Learning in Retail Product Offered
11.4.3 Oracle Machine Learning in Retail Revenue, Gross Margin and Market Share (2019-2024)
11.4.4 Oracle Main Business Overview
11.4.5 Oracle Latest Developments
11.5 SAP
11.5.1 SAP Company Information
11.5.2 SAP Machine Learning in Retail Product Offered
11.5.3 SAP Machine Learning in Retail Revenue, Gross Margin and Market Share (2019-2024)
11.5.4 SAP Main Business Overview
11.5.5 SAP Latest Developments
11.6 Intel
11.6.1 Intel Company Information
11.6.2 Intel Machine Learning in Retail Product Offered
11.6.3 Intel Machine Learning in Retail Revenue, Gross Margin and Market Share (2019-2024)
11.6.4 Intel Main Business Overview
11.6.5 Intel Latest Developments
11.7 NVIDIA
11.7.1 NVIDIA Company Information
11.7.2 NVIDIA Machine Learning in Retail Product Offered
11.7.3 NVIDIA Machine Learning in Retail Revenue, Gross Margin and Market Share (2019-2024)
11.7.4 NVIDIA Main Business Overview
11.7.5 NVIDIA Latest Developments
11.8 Google
11.8.1 Google Company Information
11.8.2 Google Machine Learning in Retail Product Offered
11.8.3 Google Machine Learning in Retail Revenue, Gross Margin and Market Share (2019-2024)
11.8.4 Google Main Business Overview
11.8.5 Google Latest Developments
11.9 Sentient Technologies
11.9.1 Sentient Technologies Company Information
11.9.2 Sentient Technologies Machine Learning in Retail Product Offered
11.9.3 Sentient Technologies Machine Learning in Retail Revenue, Gross Margin and Market Share (2019-2024)
11.9.4 Sentient Technologies Main Business Overview
11.9.5 Sentient Technologies Latest Developments
11.10 Salesforce
11.10.1 Salesforce Company Information
11.10.2 Salesforce Machine Learning in Retail Product Offered
11.10.3 Salesforce Machine Learning in Retail Revenue, Gross Margin and Market Share (2019-2024)
11.10.4 Salesforce Main Business Overview
11.10.5 Salesforce Latest Developments
11.11 ViSenze
11.11.1 ViSenze Company Information
11.11.2 ViSenze Machine Learning in Retail Product Offered
11.11.3 ViSenze Machine Learning in Retail Revenue, Gross Margin and Market Share (2019-2024)
11.11.4 ViSenze Main Business Overview
11.11.5 ViSenze Latest Developments
12 Research Findings and Conclusion
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*If Applicable.