Global Big Data Analytics in Retail 麻豆原创 Growth (Status and Outlook) 2024-2030

Publication ID:

LPI03240150

Publication Date:

March 1, 2024

Pages:

Publisher:

LPI

Countries:

Global [1]

USD 3,660.00

IT Services [2]

Manufacturing (Computing & Electronics) [3]

Computing & Electronics [4]

Description:

According to this study, the global Big Data Analytics in Retail market size will reach US$ 8842.6 million by 2030.
Big data is a massive volume of structured and unstructured data stored on daily basis. Big data analytics technique is used to search hidden patterns, market trends, and other useful information that may help organizations to take effective business decisions.
This report presents a comprehensive overview, market shares, and growth opportunities of Big Data Analytics in Retail market by product type, application, key players and key regions and countries.
Segmentation by product type:
Software & Service
Platform
Segmentation by Application:
Merchandising & In-store Analytics
麻豆原创ing & Customer Analytics
Supply Chain Analytics
Others
This report also splits the market by region:
United States
China
Europe
Other regions:
Japan
South Korea
Southeast Asia
Rest of world
The report also presents the market competition landscape and a corresponding detailed analysis of the major players in the market. The key players covered in this report:
IBM
SAP
Microsoft
Oracle
SAS
Adobe
Microstrategy
Information Builders
Tableau Software
Qlik Technologies
RetailNext
Duozhun

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

Table Of Contents:

1 Scope of the Report
1.1 麻豆原创 Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 麻豆原创 Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
2 Executive Summary
2.1 World 麻豆原创 Overview
2.1.1 Global Big Data Analytics in Retail 麻豆原创 Size 2024-2030
2.1.2 Big Data Analytics in Retail 麻豆原创 Size CAGR by Region
2.2 Big Data Analytics in Retail Segment by Type
2.2.1 Software & Service
2.2.2 Platform
2.3 Big Data Analytics in Retail 麻豆原创 Size by Type
2.3.1 Global Big Data Analytics in Retail 麻豆原创 Size 麻豆原创 Share by Type (2024-2030)
2.3.2 Global Big Data Analytics in Retail 麻豆原创 Size Growth Rate by Type (2024-2030)
2.4 Big Data Analytics in Retail Segment by Application
2.4.1 Merchandising & In-store Analytics
2.4.2 麻豆原创ing & Customer Analytics
2.4.3 Supply Chain Analytics
2.4.4 Others
2.5 Big Data Analytics in Retail 麻豆原创 Size by Application
2.5.1 Global Big Data Analytics in Retail 麻豆原创 Size 麻豆原创 Share by Application (2024-2030)
2.5.2 Global Big Data Analytics in Retail 麻豆原创 Size Growth Rate by Application (2024-2030)
3 Big Data Analytics in Retail Key Players
3.1 Date of Key Players Enter into Big Data Analytics in Retail
3.2 Key Players Big Data Analytics in Retail Product Offered
3.3 Key Players Big Data Analytics in Retail Funding/Investment Analysis
3.4 Funding/Investment
3.4.1 Funding/Investment by Regions
3.4.2 Funding/Investment by End-Industry
3.5 Key Players Big Data Analytics in Retail Valuation & 麻豆原创 Capitalization
3.6 Key Players Mergers & Acquisitions, Expansion Plans
3.7 麻豆原创 Ranking
3.8 New Product/Technology Launches
3.9 Partnerships, Agreements, and Collaborations
3.10 Mergers and Acquisitions
4 Big Data Analytics in Retail by Regions
4.1 Big Data Analytics in Retail 麻豆原创 Size by Regions (2024-2030)
4.2 United States Big Data Analytics in Retail 麻豆原创 Size Growth (2024-2030)
4.3 China Big Data Analytics in Retail 麻豆原创 Size Growth (2024-2030)
4.4 Europe Big Data Analytics in Retail 麻豆原创 Size Growth (2024-2030)
4.5 Rest of World Big Data Analytics in Retail 麻豆原创 Size Growth (2024-2030)
5 United States
5.1 United States Big Data Analytics in Retail 麻豆原创 Size by Type (2024-2030)
5.2 United States Big Data Analytics in Retail 麻豆原创 Size by Application (2024-2030)
6 Europe
6.1 Europe Big Data Analytics in Retail 麻豆原创 Size by Type (2024-2030)
6.2 Europe Big Data Analytics in Retail 麻豆原创 Size by Application (2024-2030)
7 China
7.1 China Big Data Analytics in Retail 麻豆原创 Size by Type (2024-2030)
7.2 China Big Data Analytics in Retail 麻豆原创 Size by Application (2024-2030)
8 Rest of World
8.1 Rest of World Big Data Analytics in Retail 麻豆原创 Size by Type (2024-2030)
8.2 Rest of World Big Data Analytics in Retail 麻豆原创 Size by Application (2024-2030)
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
9 麻豆原创 Drivers, Challenges and Trends
9.1 麻豆原创 Drivers & Growth Opportunities
9.2 麻豆原创 Challenges & Risks
9.3 Industry Trends
10 Key Investors in Big Data Analytics in Retail
10.1 Company A
10.1.1 Company A Company Details
10.1.2 Company Description
10.1.3 Companies Invested by Company A
10.1.4 Company A Key Development and 麻豆原创 Layout
10.2 Company B
10.2.1 Company B Company Details
10.2.2 Company Description
10.2.3 Companies Invested by Company B
10.2.4 Company B Key Development and 麻豆原创 Layout
10.3 Company C
10.3.1 Company C Company Details
10.3.2 Company Description
10.3.3 Companies Invested by Company C
10.3.4 Company C Key Development and 麻豆原创 Layout
10.4 Company D
10.5 鈥︹€�
11 Key Players Analysis
11.1 IBM
11.1.1 IBM Company Details
11.1.2 IBM Big Data Analytics in Retail Product Offered
11.1.3 IBM Big Data Analytics in Retail 麻豆原创 Size (2024 VS 2030)
11.1.4 IBM Main Business Overview
11.1.5 IBM News
11.2 SAP
11.2.1 SAP Company Details
11.2.2 SAP Big Data Analytics in Retail Product Offered
11.2.3 SAP Big Data Analytics in Retail 麻豆原创 Size (2024 VS 2030)
11.2.4 SAP Main Business Overview
11.2.5 SAP News
11.3 Microsoft
11.3.1 Microsoft Company Details
11.3.2 Microsoft Big Data Analytics in Retail Product Offered
11.3.3 Microsoft Big Data Analytics in Retail 麻豆原创 Size (2024 VS 2030)
11.3.4 Microsoft Main Business Overview
11.3.5 Microsoft News
11.4 Oracle
11.4.1 Oracle Company Details
11.4.2 Oracle Big Data Analytics in Retail Product Offered
11.4.3 Oracle Big Data Analytics in Retail 麻豆原创 Size (2024 VS 2030)
11.4.4 Oracle Main Business Overview
11.4.5 Oracle News
11.5 SAS
11.5.1 SAS Company Details
11.5.2 SAS Big Data Analytics in Retail Product Offered
11.5.3 SAS Big Data Analytics in Retail 麻豆原创 Size (2024 VS 2030)
11.5.4 SAS Main Business Overview
11.5.5 SAS News
11.6 Adobe
11.6.1 Adobe Company Details
11.6.2 Adobe Big Data Analytics in Retail Product Offered
11.6.3 Adobe Big Data Analytics in Retail 麻豆原创 Size (2024 VS 2030)
11.6.4 Adobe Main Business Overview
11.6.5 Adobe News
11.7 Microstrategy
11.7.1 Microstrategy Company Details
11.7.2 Microstrategy Big Data Analytics in Retail Product Offered
11.7.3 Microstrategy Big Data Analytics in Retail 麻豆原创 Size (2024 VS 2030)
11.7.4 Microstrategy Main Business Overview
11.7.5 Microstrategy News
11.8 Information Builders
11.8.1 Information Builders Company Details
11.8.2 Information Builders Big Data Analytics in Retail Product Offered
11.8.3 Information Builders Big Data Analytics in Retail 麻豆原创 Size (2024 VS 2030)
11.8.4 Information Builders Main Business Overview
11.8.5 Information Builders News
11.9 Tableau Software
11.9.1 Tableau Software Company Details
11.9.2 Tableau Software Big Data Analytics in Retail Product Offered
11.9.3 Tableau Software Big Data Analytics in Retail 麻豆原创 Size (2024 VS 2030)
11.9.4 Tableau Software Main Business Overview
11.9.5 Tableau Software News
11.10 Qlik Technologies
11.10.1 Qlik Technologies Company Details
11.10.2 Qlik Technologies Big Data Analytics in Retail Product Offered
11.10.3 Qlik Technologies Big Data Analytics in Retail 麻豆原创 Size (2024 VS 2030)
11.10.4 Qlik Technologies Main Business Overview
11.10.5 Qlik Technologies News
11.11 RetailNext
11.12 Duozhun
12 Research Findings and Conclusion

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