Global Big Data Analytics in Retail Market Research Report 2024

Publication ID:

PB509246152

Publication Date:

September 18, 2024

Pages:

100

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

Big data refers to extremely large and complex data sets that cannot be easily managed, processed, or analyzed using traditional data processing tools. Big data analytics helps retailers gain a deeper understanding of their customers. Analyzing customer data helps create comprehensive customer profiles, including preferences, shopping behaviors, and demographics. This understanding enables retailers to tailor products, services, and marketing strategies to specific customer segments. Analyzing big data not only helps retailers understand their customers, but also provides valuable insights into competition and market trends. By monitoring competitor activities and market changes, retailers can adjust strategies to stay ahead in a rapidly evolving industry.
Big data has become a game-changer in the retail industry, providing unprecedented opportunities to understand customers, improve operations, and gain competitive advantage. By harnessing the power of big data and adopting best practices in implementation, retailers can reap many benefits, from increased revenue and customer satisfaction to operational efficiency and innovation. As the retail landscape evolves, adopting big data analytics is critical to the sustainable growth and success of this dynamic industry.
The global Big Data Analytics in Retail market was valued at US$ 3416 million in 2023 and is anticipated to reach US$ 10110 million by 2030, witnessing a CAGR of 17.0% during the forecast period 2024-2030.
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 aims to provide a comprehensive presentation of the global market for Big Data Analytics in Retail, 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 Big Data Analytics in Retail.
The Big Data Analytics in Retail market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Big Data Analytics in Retail market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Big Data Analytics in Retail companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
IBM
SAP
Microsoft
Oracle
SAS
Adobe
Microstrategy
滨苍蹿辞谤尘补迟颈辞苍听叠耻颈濒诲别谤蝉
罢补产濒别补耻听厂辞蹿迟飞补谤别
AWS
RetailNext
Dell
Splunk
Accenture
Informatica
Teradata
Cloudera
Segment by Type
Software & Service
Platform
Segment by Application
Merchandising & In-store Analytics
Marketing & Customer Analytics
Supply Chain Analytics
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Big Data Analytics in Retail company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

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

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Big Data Analytics in Retail Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Software & Service
1.2.3 Platform
1.3 Market by Application
1.3.1 Global Big Data Analytics in Retail Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Merchandising & In-store Analytics
1.3.3 Marketing & Customer Analytics
1.3.4 Supply Chain Analytics
1.3.5 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Big Data Analytics in Retail Market Perspective (2019-2030)
2.2 Global Big Data Analytics in Retail Growth Trends by Region
2.2.1 Global Big Data Analytics in Retail Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Big Data Analytics in Retail Historic Market Size by Region (2019-2024)
2.2.3 Big Data Analytics in Retail Forecasted Market Size by Region (2025-2030)
2.3 Big Data Analytics in Retail Market Dynamics
2.3.1 Big Data Analytics in Retail Industry Trends
2.3.2 Big Data Analytics in Retail Market Drivers
2.3.3 Big Data Analytics in Retail Market Challenges
2.3.4 Big Data Analytics in Retail Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Big Data Analytics in Retail Players by Revenue
3.1.1 Global Top Big Data Analytics in Retail Players by Revenue (2019-2024)
3.1.2 Global Big Data Analytics in Retail Revenue Market Share by Players (2019-2024)
3.2 Global Big Data Analytics in Retail Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Big Data Analytics in Retail Revenue
3.4 Global Big Data Analytics in Retail Market Concentration Ratio
3.4.1 Global Big Data Analytics in Retail Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Big Data Analytics in Retail Revenue in 2023
3.5 Global Key Players of Big Data Analytics in Retail Head office and Area Served
3.6 Global Key Players of Big Data Analytics in Retail, Product and Application
3.7 Global Key Players of Big Data Analytics in Retail, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Big Data Analytics in Retail Breakdown Data by Type
4.1 Global Big Data Analytics in Retail Historic Market Size by Type (2019-2024)
4.2 Global Big Data Analytics in Retail Forecasted Market Size by Type (2025-2030)
5 Big Data Analytics in Retail Breakdown Data by Application
5.1 Global Big Data Analytics in Retail Historic Market Size by Application (2019-2024)
5.2 Global Big Data Analytics in Retail Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Big Data Analytics in Retail Market Size (2019-2030)
6.2 North America Big Data Analytics in Retail Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Big Data Analytics in Retail Market Size by Country (2019-2024)
6.4 North America Big Data Analytics in Retail Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Big Data Analytics in Retail Market Size (2019-2030)
7.2 Europe Big Data Analytics in Retail Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Big Data Analytics in Retail Market Size by Country (2019-2024)
7.4 Europe Big Data Analytics in Retail Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Big Data Analytics in Retail Market Size (2019-2030)
8.2 Asia-Pacific Big Data Analytics in Retail Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Big Data Analytics in Retail Market Size by Region (2019-2024)
8.4 Asia-Pacific Big Data Analytics in Retail Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Big Data Analytics in Retail Market Size (2019-2030)
9.2 Latin America Big Data Analytics in Retail Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Big Data Analytics in Retail Market Size by Country (2019-2024)
9.4 Latin America Big Data Analytics in Retail Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Big Data Analytics in Retail Market Size (2019-2030)
10.2 Middle East & Africa Big Data Analytics in Retail Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Big Data Analytics in Retail Market Size by Country (2019-2024)
10.4 Middle East & Africa Big Data Analytics in Retail Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Details
11.1.2 IBM Business Overview
11.1.3 IBM Big Data Analytics in Retail Introduction
11.1.4 IBM Revenue in Big Data Analytics in Retail Business (2019-2024)
11.1.5 IBM Recent Development
11.2 SAP
11.2.1 SAP Company Details
11.2.2 SAP Business Overview
11.2.3 SAP Big Data Analytics in Retail Introduction
11.2.4 SAP Revenue in Big Data Analytics in Retail Business (2019-2024)
11.2.5 SAP Recent Development
11.3 Microsoft
11.3.1 Microsoft Company Details
11.3.2 Microsoft Business Overview
11.3.3 Microsoft Big Data Analytics in Retail Introduction
11.3.4 Microsoft Revenue in Big Data Analytics in Retail Business (2019-2024)
11.3.5 Microsoft Recent Development
11.4 Oracle
11.4.1 Oracle Company Details
11.4.2 Oracle Business Overview
11.4.3 Oracle Big Data Analytics in Retail Introduction
11.4.4 Oracle Revenue in Big Data Analytics in Retail Business (2019-2024)
11.4.5 Oracle Recent Development
11.5 SAS
11.5.1 SAS Company Details
11.5.2 SAS Business Overview
11.5.3 SAS Big Data Analytics in Retail Introduction
11.5.4 SAS Revenue in Big Data Analytics in Retail Business (2019-2024)
11.5.5 SAS Recent Development
11.6 Adobe
11.6.1 Adobe Company Details
11.6.2 Adobe Business Overview
11.6.3 Adobe Big Data Analytics in Retail Introduction
11.6.4 Adobe Revenue in Big Data Analytics in Retail Business (2019-2024)
11.6.5 Adobe Recent Development
11.7 Microstrategy
11.7.1 Microstrategy Company Details
11.7.2 Microstrategy Business Overview
11.7.3 Microstrategy Big Data Analytics in Retail Introduction
11.7.4 Microstrategy Revenue in Big Data Analytics in Retail Business (2019-2024)
11.7.5 Microstrategy Recent Development
11.8 滨苍蹿辞谤尘补迟颈辞苍听叠耻颈濒诲别谤蝉
11.8.1 滨苍蹿辞谤尘补迟颈辞苍听叠耻颈濒诲别谤蝉 Company Details
11.8.2 滨苍蹿辞谤尘补迟颈辞苍听叠耻颈濒诲别谤蝉 Business Overview
11.8.3 滨苍蹿辞谤尘补迟颈辞苍听叠耻颈濒诲别谤蝉 Big Data Analytics in Retail Introduction
11.8.4 滨苍蹿辞谤尘补迟颈辞苍听叠耻颈濒诲别谤蝉 Revenue in Big Data Analytics in Retail Business (2019-2024)
11.8.5 滨苍蹿辞谤尘补迟颈辞苍听叠耻颈濒诲别谤蝉 Recent Development
11.9 罢补产濒别补耻听厂辞蹿迟飞补谤别
11.9.1 罢补产濒别补耻听厂辞蹿迟飞补谤别 Company Details
11.9.2 罢补产濒别补耻听厂辞蹿迟飞补谤别 Business Overview
11.9.3 罢补产濒别补耻听厂辞蹿迟飞补谤别 Big Data Analytics in Retail Introduction
11.9.4 罢补产濒别补耻听厂辞蹿迟飞补谤别 Revenue in Big Data Analytics in Retail Business (2019-2024)
11.9.5 罢补产濒别补耻听厂辞蹿迟飞补谤别 Recent Development
11.10 AWS
11.10.1 AWS Company Details
11.10.2 AWS Business Overview
11.10.3 AWS Big Data Analytics in Retail Introduction
11.10.4 AWS Revenue in Big Data Analytics in Retail Business (2019-2024)
11.10.5 AWS Recent Development
11.11 RetailNext
11.11.1 RetailNext Company Details
11.11.2 RetailNext Business Overview
11.11.3 RetailNext Big Data Analytics in Retail Introduction
11.11.4 RetailNext Revenue in Big Data Analytics in Retail Business (2019-2024)
11.11.5 RetailNext Recent Development
11.12 Dell
11.12.1 Dell Company Details
11.12.2 Dell Business Overview
11.12.3 Dell Big Data Analytics in Retail Introduction
11.12.4 Dell Revenue in Big Data Analytics in Retail Business (2019-2024)
11.12.5 Dell Recent Development
11.13 Splunk
11.13.1 Splunk Company Details
11.13.2 Splunk Business Overview
11.13.3 Splunk Big Data Analytics in Retail Introduction
11.13.4 Splunk Revenue in Big Data Analytics in Retail Business (2019-2024)
11.13.5 Splunk Recent Development
11.14 Accenture
11.14.1 Accenture Company Details
11.14.2 Accenture Business Overview
11.14.3 Accenture Big Data Analytics in Retail Introduction
11.14.4 Accenture Revenue in Big Data Analytics in Retail Business (2019-2024)
11.14.5 Accenture Recent Development
11.15 Informatica
11.15.1 Informatica Company Details
11.15.2 Informatica Business Overview
11.15.3 Informatica Big Data Analytics in Retail Introduction
11.15.4 Informatica Revenue in Big Data Analytics in Retail Business (2019-2024)
11.15.5 Informatica Recent Development
11.16 Teradata
11.16.1 Teradata Company Details
11.16.2 Teradata Business Overview
11.16.3 Teradata Big Data Analytics in Retail Introduction
11.16.4 Teradata Revenue in Big Data Analytics in Retail Business (2019-2024)
11.16.5 Teradata Recent Development
11.17 Cloudera
11.17.1 Cloudera Company Details
11.17.2 Cloudera Business Overview
11.17.3 Cloudera Big Data Analytics in Retail Introduction
11.17.4 Cloudera Revenue in Big Data Analytics in Retail Business (2019-2024)
11.17.5 Cloudera Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

IBM
SAP
Microsoft
Oracle
SAS
Adobe
Microstrategy
滨苍蹿辞谤尘补迟颈辞苍听叠耻颈濒诲别谤蝉
罢补产濒别补耻听厂辞蹿迟飞补谤别
AWS
RetailNext
Dell
Splunk
Accenture
Informatica
Teradata
Cloudera

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