Machine Learning in Retail - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB509247852

Publication Date:

September 26, 2024

Pages:

107

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

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 market for Machine Learning in Retail was estimated to be worth US$ 2487 million in 2023 and is forecast to a readjusted size of US$ 3743.5 million by 2030 with a CAGR of 5.9% during the forecast period 2024-2030
North American market for Machine Learning in Retail was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Machine Learning in Retail was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for Machine Learning in Retail was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of Machine Learning in Retail include IBM, Microsoft, Amazon Web Services, Oracle, SAP, Intel, NVIDIA, Google and Sentient Technologies, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Machine Learning in Retail, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Machine Learning in Retail by region & country, by Type, and by Application.
The Machine Learning in Retail market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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 Machine Learning in Retail.
Market Segmentation
By Company
IBM
Microsoft
Amazon Web Services
Oracle
SAP
Intel
NVIDIA
Google
Sentient Technologies
Salesforce
ViSenze
Segment by Type:
Cloud Based
On-Premises
Segment by Application
Online
Offline
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Machine Learning in Retail manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Machine Learning in Retail in 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, and market size of each country in the world.
Chapter 6: Revenue of Machine Learning in Retail in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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

Table Of Contents:

1 Market Overview
1.1 Machine Learning in Retail Product Introduction
1.2 Global Machine Learning in Retail Market Size Forecast
1.3 Machine Learning in Retail Market Trends & Drivers
1.3.1 Machine Learning in Retail Industry Trends
1.3.2 Machine Learning in Retail Market Drivers & Opportunity
1.3.3 Machine Learning in Retail Market Challenges
1.3.4 Machine Learning in Retail Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Machine Learning in Retail Players Revenue Ranking (2023)
2.2 Global Machine Learning in Retail Revenue by Company (2019-2024)
2.3 Key Companies Machine Learning in Retail Manufacturing Base Distribution and Headquarters
2.4 Key Companies Machine Learning in Retail Product Offered
2.5 Key Companies Time to Begin Mass Production of Machine Learning in Retail
2.6 Machine Learning in Retail Market Competitive Analysis
2.6.1 Machine Learning in Retail Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Machine Learning in Retail Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Machine Learning in Retail as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Cloud Based
3.1.2 On-Premises
3.2 Global Machine Learning in Retail Sales Value by Type
3.2.1 Global Machine Learning in Retail Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Machine Learning in Retail Sales Value, by Type (2019-2030)
3.2.3 Global Machine Learning in Retail Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Online
4.1.2 Offline
4.2 Global Machine Learning in Retail Sales Value by Application
4.2.1 Global Machine Learning in Retail Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Machine Learning in Retail Sales Value, by Application (2019-2030)
4.2.3 Global Machine Learning in Retail Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Machine Learning in Retail Sales Value by Region
5.1.1 Global Machine Learning in Retail Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Machine Learning in Retail Sales Value by Region (2019-2024)
5.1.3 Global Machine Learning in Retail Sales Value by Region (2025-2030)
5.1.4 Global Machine Learning in Retail Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Machine Learning in Retail Sales Value, 2019-2030
5.2.2 North America Machine Learning in Retail Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Machine Learning in Retail Sales Value, 2019-2030
5.3.2 Europe Machine Learning in Retail Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Machine Learning in Retail Sales Value, 2019-2030
5.4.2 Asia Pacific Machine Learning in Retail Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Machine Learning in Retail Sales Value, 2019-2030
5.5.2 South America Machine Learning in Retail Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Machine Learning in Retail Sales Value, 2019-2030
5.6.2 Middle East & Africa Machine Learning in Retail Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Machine Learning in Retail Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Machine Learning in Retail Sales Value
6.3 United States
6.3.1 United States Machine Learning in Retail Sales Value, 2019-2030
6.3.2 United States Machine Learning in Retail Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Machine Learning in Retail Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Machine Learning in Retail Sales Value, 2019-2030
6.4.2 Europe Machine Learning in Retail Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Machine Learning in Retail Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Machine Learning in Retail Sales Value, 2019-2030
6.5.2 China Machine Learning in Retail Sales Value by Type (%), 2023 VS 2030
6.5.3 China Machine Learning in Retail Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Machine Learning in Retail Sales Value, 2019-2030
6.6.2 Japan Machine Learning in Retail Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Machine Learning in Retail Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Machine Learning in Retail Sales Value, 2019-2030
6.7.2 South Korea Machine Learning in Retail Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Machine Learning in Retail Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Machine Learning in Retail Sales Value, 2019-2030
6.8.2 Southeast Asia Machine Learning in Retail Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Machine Learning in Retail Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Machine Learning in Retail Sales Value, 2019-2030
6.9.2 India Machine Learning in Retail Sales Value by Type (%), 2023 VS 2030
6.9.3 India Machine Learning in Retail Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 IBM
7.1.1 IBM Profile
7.1.2 IBM Main Business
7.1.3 IBM Machine Learning in Retail Products, Services and Solutions
7.1.4 IBM Machine Learning in Retail Revenue (US$ Million) & (2019-2024)
7.1.5 IBM Recent Developments
7.2 Microsoft
7.2.1 Microsoft Profile
7.2.2 Microsoft Main Business
7.2.3 Microsoft Machine Learning in Retail Products, Services and Solutions
7.2.4 Microsoft Machine Learning in Retail Revenue (US$ Million) & (2019-2024)
7.2.5 Microsoft Recent Developments
7.3 Amazon Web Services
7.3.1 Amazon Web Services Profile
7.3.2 Amazon Web Services Main Business
7.3.3 Amazon Web Services Machine Learning in Retail Products, Services and Solutions
7.3.4 Amazon Web Services Machine Learning in Retail Revenue (US$ Million) & (2019-2024)
7.3.5 Oracle Recent Developments
7.4 Oracle
7.4.1 Oracle Profile
7.4.2 Oracle Main Business
7.4.3 Oracle Machine Learning in Retail Products, Services and Solutions
7.4.4 Oracle Machine Learning in Retail Revenue (US$ Million) & (2019-2024)
7.4.5 Oracle Recent Developments
7.5 SAP
7.5.1 SAP Profile
7.5.2 SAP Main Business
7.5.3 SAP Machine Learning in Retail Products, Services and Solutions
7.5.4 SAP Machine Learning in Retail Revenue (US$ Million) & (2019-2024)
7.5.5 SAP Recent Developments
7.6 Intel
7.6.1 Intel Profile
7.6.2 Intel Main Business
7.6.3 Intel Machine Learning in Retail Products, Services and Solutions
7.6.4 Intel Machine Learning in Retail Revenue (US$ Million) & (2019-2024)
7.6.5 Intel Recent Developments
7.7 NVIDIA
7.7.1 NVIDIA Profile
7.7.2 NVIDIA Main Business
7.7.3 NVIDIA Machine Learning in Retail Products, Services and Solutions
7.7.4 NVIDIA Machine Learning in Retail Revenue (US$ Million) & (2019-2024)
7.7.5 NVIDIA Recent Developments
7.8 Google
7.8.1 Google Profile
7.8.2 Google Main Business
7.8.3 Google Machine Learning in Retail Products, Services and Solutions
7.8.4 Google Machine Learning in Retail Revenue (US$ Million) & (2019-2024)
7.8.5 Google Recent Developments
7.9 Sentient Technologies
7.9.1 Sentient Technologies Profile
7.9.2 Sentient Technologies Main Business
7.9.3 Sentient Technologies Machine Learning in Retail Products, Services and Solutions
7.9.4 Sentient Technologies Machine Learning in Retail Revenue (US$ Million) & (2019-2024)
7.9.5 Sentient Technologies Recent Developments
7.10 Salesforce
7.10.1 Salesforce Profile
7.10.2 Salesforce Main Business
7.10.3 Salesforce Machine Learning in Retail Products, Services and Solutions
7.10.4 Salesforce Machine Learning in Retail Revenue (US$ Million) & (2019-2024)
7.10.5 Salesforce Recent Developments
7.11 ViSenze
7.11.1 ViSenze Profile
7.11.2 ViSenze Main Business
7.11.3 ViSenze Machine Learning in Retail Products, Services and Solutions
7.11.4 ViSenze Machine Learning in Retail Revenue (US$ Million) & (2019-2024)
7.11.5 ViSenze Recent Developments
8 Industry Chain Analysis
8.1 Machine Learning in Retail Industrial Chain
8.2 Machine Learning in Retail Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Machine Learning in Retail Sales Model
8.5.2 Sales Channel
8.5.3 Machine Learning in Retail Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

IBM
Microsoft
Amazon Web Services
Oracle
SAP
Intel
NVIDIA
Google
Sentient Technologies
Salesforce
ViSenze

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