Report Detail
Global Machine Learning in Retail Market 2024 by Company, Regions, Type and Application, Forecast to 2030
- RnM3648847 |
- 13 August, 2024 |
- Global |
- 109 Pages |
- GIR (Global Info Research) |
- Service & Software
According to our (Global Info Research) latest study, the global Machine Learning in Retail market size was valued at USD 2559 million in 2023 and is forecast to a readjusted size of USD 3758.8 million by 2030 with a CAGR of 5.6% during review period.
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.
The Global Info Research report includes an overview of the development of the Machine Learning in Retail industry chain, the market status of Online (Cloud Based, On-Premises), Offline (Cloud Based, On-Premises), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Machine Learning in Retail.
Regionally, the report analyzes the Machine Learning in Retail markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global Machine Learning in Retail market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the Machine Learning in Retail market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the Machine Learning in Retail industry.
The report involves analyzing the market at a macro level:
Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Cloud Based, On-Premises).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the Machine Learning in Retail market.
Regional Analysis: The report involves examining the Machine Learning in Retail market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the Machine Learning in Retail market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to Machine Learning in Retail:
Company Analysis: Report covers individual Machine Learning in Retail players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards Machine Learning in Retail This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Online, Offline).
Technology Analysis: Report covers specific technologies relevant to Machine Learning in Retail. It assesses the current state, advancements, and potential future developments in Machine Learning in Retail areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the Machine Learning in Retail market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
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.
Market segment by Type
Cloud Based
On-Premises
Market segment by Application
Online
Offline
Market segment by players, this report covers
IBM
Microsoft
Amazon Web Services
Oracle
SAP
Intel
NVIDIA
Google
Sentient Technologies
Salesforce
ViSenze
Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Machine Learning in Retail product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Machine Learning in Retail, with revenue, gross margin and global market share of Machine Learning in Retail from 2019 to 2024.
Chapter 3, the Machine Learning in Retail competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Machine Learning in Retail market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Machine Learning in Retail.
Chapter 13, to describe Machine Learning in Retail research findings and conclusion.
1 Market Overview
- 1.1 Product Overview and Scope of Machine Learning in Retail
- 1.2 Market Estimation Caveats and Base Year
- 1.3 Classification of Machine Learning in Retail by Type
- 1.3.1 Overview: Global Machine Learning in Retail Market Size by Type: 2019 Versus 2023 Versus 2030
- 1.3.2 Global Machine Learning in Retail Consumption Value Market Share by Type in 2023
- 1.3.3 Cloud Based
- 1.3.4 On-Premises
- 1.4 Global Machine Learning in Retail Market by Application
- 1.4.1 Overview: Global Machine Learning in Retail Market Size by Application: 2019 Versus 2023 Versus 2030
- 1.4.2 Online
- 1.4.3 Offline
- 1.5 Global Machine Learning in Retail Market Size & Forecast
- 1.6 Global Machine Learning in Retail Market Size and Forecast by Region
- 1.6.1 Global Machine Learning in Retail Market Size by Region: 2019 VS 2023 VS 2030
- 1.6.2 Global Machine Learning in Retail Market Size by Region, (2019-2030)
- 1.6.3 North America Machine Learning in Retail Market Size and Prospect (2019-2030)
- 1.6.4 Europe Machine Learning in Retail Market Size and Prospect (2019-2030)
- 1.6.5 Asia-Pacific Machine Learning in Retail Market Size and Prospect (2019-2030)
- 1.6.6 South America Machine Learning in Retail Market Size and Prospect (2019-2030)
- 1.6.7 Middle East and Africa Machine Learning in Retail Market Size and Prospect (2019-2030)
2 Company Profiles
- 2.1 IBM
- 2.1.1 IBM Details
- 2.1.2 IBM Major Business
- 2.1.3 IBM Machine Learning in Retail Product and Solutions
- 2.1.4 IBM Machine Learning in Retail Revenue, Gross Margin and Market Share (2019-2024)
- 2.1.5 IBM Recent Developments and Future Plans
- 2.2 Microsoft
- 2.2.1 Microsoft Details
- 2.2.2 Microsoft Major Business
- 2.2.3 Microsoft Machine Learning in Retail Product and Solutions
- 2.2.4 Microsoft Machine Learning in Retail Revenue, Gross Margin and Market Share (2019-2024)
- 2.2.5 Microsoft Recent Developments and Future Plans
- 2.3 Amazon Web Services
- 2.3.1 Amazon Web Services Details
- 2.3.2 Amazon Web Services Major Business
- 2.3.3 Amazon Web Services Machine Learning in Retail Product and Solutions
- 2.3.4 Amazon Web Services Machine Learning in Retail Revenue, Gross Margin and Market Share (2019-2024)
- 2.3.5 Amazon Web Services Recent Developments and Future Plans
- 2.4 Oracle
- 2.4.1 Oracle Details
- 2.4.2 Oracle Major Business
- 2.4.3 Oracle Machine Learning in Retail Product and Solutions
- 2.4.4 Oracle Machine Learning in Retail Revenue, Gross Margin and Market Share (2019-2024)
- 2.4.5 Oracle Recent Developments and Future Plans
- 2.5 SAP
- 2.5.1 SAP Details
- 2.5.2 SAP Major Business
- 2.5.3 SAP Machine Learning in Retail Product and Solutions
- 2.5.4 SAP Machine Learning in Retail Revenue, Gross Margin and Market Share (2019-2024)
- 2.5.5 SAP Recent Developments and Future Plans
- 2.6 Intel
- 2.6.1 Intel Details
- 2.6.2 Intel Major Business
- 2.6.3 Intel Machine Learning in Retail Product and Solutions
- 2.6.4 Intel Machine Learning in Retail Revenue, Gross Margin and Market Share (2019-2024)
- 2.6.5 Intel Recent Developments and Future Plans
- 2.7 NVIDIA
- 2.7.1 NVIDIA Details
- 2.7.2 NVIDIA Major Business
- 2.7.3 NVIDIA Machine Learning in Retail Product and Solutions
- 2.7.4 NVIDIA Machine Learning in Retail Revenue, Gross Margin and Market Share (2019-2024)
- 2.7.5 NVIDIA Recent Developments and Future Plans
- 2.8 Google
- 2.8.1 Google Details
- 2.8.2 Google Major Business
- 2.8.3 Google Machine Learning in Retail Product and Solutions
- 2.8.4 Google Machine Learning in Retail Revenue, Gross Margin and Market Share (2019-2024)
- 2.8.5 Google Recent Developments and Future Plans
- 2.9 Sentient Technologies
- 2.9.1 Sentient Technologies Details
- 2.9.2 Sentient Technologies Major Business
- 2.9.3 Sentient Technologies Machine Learning in Retail Product and Solutions
- 2.9.4 Sentient Technologies Machine Learning in Retail Revenue, Gross Margin and Market Share (2019-2024)
- 2.9.5 Sentient Technologies Recent Developments and Future Plans
- 2.10 Salesforce
- 2.10.1 Salesforce Details
- 2.10.2 Salesforce Major Business
- 2.10.3 Salesforce Machine Learning in Retail Product and Solutions
- 2.10.4 Salesforce Machine Learning in Retail Revenue, Gross Margin and Market Share (2019-2024)
- 2.10.5 Salesforce Recent Developments and Future Plans
- 2.11 ViSenze
- 2.11.1 ViSenze Details
- 2.11.2 ViSenze Major Business
- 2.11.3 ViSenze Machine Learning in Retail Product and Solutions
- 2.11.4 ViSenze Machine Learning in Retail Revenue, Gross Margin and Market Share (2019-2024)
- 2.11.5 ViSenze Recent Developments and Future Plans
3 Market Competition, by Players
- 3.1 Global Machine Learning in Retail Revenue and Share by Players (2019-2024)
- 3.2 Market Share Analysis (2023)
- 3.2.1 Market Share of Machine Learning in Retail by Company Revenue
- 3.2.2 Top 3 Machine Learning in Retail Players Market Share in 2023
- 3.2.3 Top 6 Machine Learning in Retail Players Market Share in 2023
- 3.3 Machine Learning in Retail Market: Overall Company Footprint Analysis
- 3.3.1 Machine Learning in Retail Market: Region Footprint
- 3.3.2 Machine Learning in Retail Market: Company Product Type Footprint
- 3.3.3 Machine Learning in Retail Market: Company Product Application Footprint
- 3.4 New Market Entrants and Barriers to Market Entry
- 3.5 Mergers, Acquisition, Agreements, and Collaborations
4 Market Size Segment by Type
- 4.1 Global Machine Learning in Retail Consumption Value and Market Share by Type (2019-2024)
- 4.2 Global Machine Learning in Retail Market Forecast by Type (2025-2030)
5 Market Size Segment by Application
- 5.1 Global Machine Learning in Retail Consumption Value Market Share by Application (2019-2024)
- 5.2 Global Machine Learning in Retail Market Forecast by Application (2025-2030)
6 North America
- 6.1 North America Machine Learning in Retail Consumption Value by Type (2019-2030)
- 6.2 North America Machine Learning in Retail Consumption Value by Application (2019-2030)
- 6.3 North America Machine Learning in Retail Market Size by Country
- 6.3.1 North America Machine Learning in Retail Consumption Value by Country (2019-2030)
- 6.3.2 United States Machine Learning in Retail Market Size and Forecast (2019-2030)
- 6.3.3 Canada Machine Learning in Retail Market Size and Forecast (2019-2030)
- 6.3.4 Mexico Machine Learning in Retail Market Size and Forecast (2019-2030)
7 Europe
- 7.1 Europe Machine Learning in Retail Consumption Value by Type (2019-2030)
- 7.2 Europe Machine Learning in Retail Consumption Value by Application (2019-2030)
- 7.3 Europe Machine Learning in Retail Market Size by Country
- 7.3.1 Europe Machine Learning in Retail Consumption Value by Country (2019-2030)
- 7.3.2 Germany Machine Learning in Retail Market Size and Forecast (2019-2030)
- 7.3.3 France Machine Learning in Retail Market Size and Forecast (2019-2030)
- 7.3.4 United Kingdom Machine Learning in Retail Market Size and Forecast (2019-2030)
- 7.3.5 Russia Machine Learning in Retail Market Size and Forecast (2019-2030)
- 7.3.6 Italy Machine Learning in Retail Market Size and Forecast (2019-2030)
8 Asia-Pacific
- 8.1 Asia-Pacific Machine Learning in Retail Consumption Value by Type (2019-2030)
- 8.2 Asia-Pacific Machine Learning in Retail Consumption Value by Application (2019-2030)
- 8.3 Asia-Pacific Machine Learning in Retail Market Size by Region
- 8.3.1 Asia-Pacific Machine Learning in Retail Consumption Value by Region (2019-2030)
- 8.3.2 China Machine Learning in Retail Market Size and Forecast (2019-2030)
- 8.3.3 Japan Machine Learning in Retail Market Size and Forecast (2019-2030)
- 8.3.4 South Korea Machine Learning in Retail Market Size and Forecast (2019-2030)
- 8.3.5 India Machine Learning in Retail Market Size and Forecast (2019-2030)
- 8.3.6 Southeast Asia Machine Learning in Retail Market Size and Forecast (2019-2030)
- 8.3.7 Australia Machine Learning in Retail Market Size and Forecast (2019-2030)
9 South America
- 9.1 South America Machine Learning in Retail Consumption Value by Type (2019-2030)
- 9.2 South America Machine Learning in Retail Consumption Value by Application (2019-2030)
- 9.3 South America Machine Learning in Retail Market Size by Country
- 9.3.1 South America Machine Learning in Retail Consumption Value by Country (2019-2030)
- 9.3.2 Brazil Machine Learning in Retail Market Size and Forecast (2019-2030)
- 9.3.3 Argentina Machine Learning in Retail Market Size and Forecast (2019-2030)
10 Middle East & Africa
- 10.1 Middle East & Africa Machine Learning in Retail Consumption Value by Type (2019-2030)
- 10.2 Middle East & Africa Machine Learning in Retail Consumption Value by Application (2019-2030)
- 10.3 Middle East & Africa Machine Learning in Retail Market Size by Country
- 10.3.1 Middle East & Africa Machine Learning in Retail Consumption Value by Country (2019-2030)
- 10.3.2 Turkey Machine Learning in Retail Market Size and Forecast (2019-2030)
- 10.3.3 Saudi Arabia Machine Learning in Retail Market Size and Forecast (2019-2030)
- 10.3.4 UAE Machine Learning in Retail Market Size and Forecast (2019-2030)
11 Market Dynamics
- 11.1 Machine Learning in Retail Market Drivers
- 11.2 Machine Learning in Retail Market Restraints
- 11.3 Machine Learning in Retail Trends Analysis
- 11.4 Porters Five Forces Analysis
- 11.4.1 Threat of New Entrants
- 11.4.2 Bargaining Power of Suppliers
- 11.4.3 Bargaining Power of Buyers
- 11.4.4 Threat of Substitutes
- 11.4.5 Competitive Rivalry
12 Industry Chain Analysis
- 12.1 Machine Learning in Retail Industry Chain
- 12.2 Machine Learning in Retail Upstream Analysis
- 12.3 Machine Learning in Retail Midstream Analysis
- 12.4 Machine Learning in Retail Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
- 14.1 Methodology
- 14.2 Research Process and Data Source
Summary:
Get latest Market Research Reports on Machine Learning in Retail. Industry analysis & Market Report on Machine Learning in Retail is a syndicated market report, published as Global Machine Learning in Retail Market 2024 by Company, Regions, Type and Application, Forecast to 2030. It is complete Research Study and Industry Analysis of Machine Learning in Retail market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.
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