Big Data Analytics in Retail Market Size, Share & Trends Analysis Report, By Type (Small and Medium Enterprises,Large-scale Organizations), By Application (Merchandising and Supply Chain Analytics,Social Media Analytics,Customer Analytics,Operational Intelligence,Other Applications), Regional Outlook and Forecast to 2028

Report Summary

Eternity Insights has published a new study on Global Big Data Analytics In Retail Market focusing on key segments as by Type (Small and Medium Enterprises, Large-scale Organizations, Other), by Application (Merchandising and Supply Chain Analytics, Social Media Analytics, Customer Analytics, Operational Intelligence, Other Applications), and by region. This deep dive re-search report highlights the market and competitive intelligence across the key segments of the mar-ket. The report also considers the impact of COVID-19 on the global Big Data Analytics In Retail Market.

The report considers 2018-2020 as historic period, 2021 as base year, and 2022-2028 as forecast period. The report includes quantitative analysis of the market supported by the market drivers, challenges, and trends to accurately map the market scenario and competition. Moreover, key insights related to market having direct impact on the market will also be covered.

Big Data Analytics In Retail Market report is based on robust research methodology designed using blend of research ap-proaches developed using secondary/desk research and validated through the primary research and expert insights. Eternity Insights also uses paid data bases such as FACIVA, Hoovers, and other bench-marking and forecasting tools to provide accurate statistical analysis of supply and demand trends.

Global Big Data Analytics In Retail Market Size, 2018-2028 (USD Million)

Global Big Data Analytics In Retail Market Segmentation:

Big Data Analytics In Retail Market, By Type

• Small and Medium Enterprises
• Large-scale Organizations
• Other

Big Data Analytics In Retail Market, By Application

• Merchandising and Supply Chain Analytics
• Social Media Analytics
• Customer Analytics
• Operational Intelligence
• Other Applications

Geographically, the market is categorized in to five regions as North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. North America region dominates the global Big Data Analytics In Retail market in terms of demand generation. The Big Data Analytics In Retail market in Asia Pacific region is expected to grow at significantly high growth rate. The regional market is further sub-segmented and analyzed at granular level across key countries. The report will include market size and forecast for Big Data Analytics In Retail market for below listed coun-tries across each region.

North America (U.S. and Canada), Europe (Germany, France, Italy, UK, Spain, and Rest of Europe), Asia Pacific (China, India, Japan, Australia, and Rest of Asia Pacific region); Latin America (Brazil, Mexico, and rest of the Latin America); Middle East and Africa (GCC, South Africa, and Rest of the Middle East and Africa).

Global Big Data Analytics In Retail Market Taxonomy:

Global Big Data Analytics In Retail Market Competitive Landscape

The global Big Data Analytics In Retail market analysis report covers detailed analysis of competitive scenario across globe. The report includes profiles of leading players covering below details

• Company Overview
• Financial Analysis
• Product Portfolio Analysis
• Strategic Overview
• SWOT Analysis

List of Companies Profiled in the report:

• ADOBE INC.
• CISCO SYSTEMS
• INC.
• INTERNATIONAL BUSINESS MACHINES CORPORATION
• ORACLE CORPORATION
• SAP SE
• SAS INSTITUTE INC.
• SISENSE INC.
• TERADATA CORPORATION
• TIBCO SOFTWARE INC.
• TABLEAU SOFTWARE
• Other Players of Specific Interest can be added based on requirement

Market Segmentation

Key Benefits to the stake holders

• Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors
• Provision of market value (USD Billion) and volume (Tons) data for each segment and sub-segment
• Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
• Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
• Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions and acquisitions in the past five years of companies profiled
• Extensive company profiles comprising of company overview, company insights, product benchmarking and SWOT analysis for the major market players
• The current as well as the future market outlook of the industry with respect to recent developments (which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
• Includes an in-depth analysis of the market of various perspectives through Porter’s five forces analysis
• Provides insight into the market through Value Chain
• Market dynamics scenario, along with growth opportunities of the market in the years to come

Table Of Contents

1 Methodology and Scope

1.1 Market segmentation & scope
1.2 Information Procurement

1.2.1 Purchased Database
1.2.2 Eternity’s Internal Database
1.2.3 Secondary sources & third-party perspectives
1.2.4 Primary Research

1.3 Information analysis
1.4 Market formulation & data visualization
1.5 Data validation & publishing

2 Executive Summary

3 Big Data Analytics In Retail Market Variables, Trends & Scope

3.1 Market Dynamics

3.1.1 Market Driver Analysis
3.1.2 Market Restraints
3.1.3 Market Challenge Analysis
3.1.4 Market Opportunities
3.1.5 Micro & Macro Indicator

3.2 Impact of COVID-19 Pandemic on Global Big Data Analytics In Retail Market

3.2.1 Overview of Changing Landscape
3.2.2 Pre-covid & Post-Covid Market Analysis

3.3 Market Attractiveness Analysis
3.4 Regulatory Scenario
3.5 Industry Trend Analysis- Historic and Future Trend Assessment
3.6 Merger & Acquisition
3.7 New System Launch/Approvals
3.8 Market Analysis Tools

3.8.1 Porter’s Five Forces
3.8.2 PEST Analysis
3.8.3 Value Chain Analysis

3.9 Key Company Ranking Analysis, 2020

4 Global Big Data Analytics In Retail Market Analysis and Forecast, By Type

4.1 Overview & Definition
4.2 Key Trends
4.3 Global Big Data Analytics In Retail Market Value (US$ Mn) Forecast, by Type (2019 – 2028)

4.2.1 Small and Medium Enterprises
4.2.2 Large-scale Organizations
4.2.3 Other

4.4 Type Comparison Matrix
4.5 Global Big Data Analytics In Retail Market Attractiveness, By Type

5 Global Big Data Analytics In Retail Market Analysis and Forecast, By Application

5.1 Overview & Definition
5.2 Key Trends
5.3 Global Big Data Analytics In Retail Market Value (US$ Mn) Forecast, by Application (2019 – 2028)

5.3.1 Merchandising and Supply Chain Analytics
5.3.2 Social Media Analytics
5.3.3 Customer Analytics
5.3.4 Operational Intelligence
5.3.5 Other Applications

5.4 Application Comparison Matrix
5.5 Global Big Data Analytics In Retail Market Attractiveness, by Application

6 Global Big Data Analytics In Retail Market Analysis and Forecast, By Region

6.1 Overview & Definition
6.2 Key Trends
6.3 Global Big Data Analytics In Retail Market Value (US$ Mn) Forecast, by Region (2019 – 2028)
6.4 North America
6.5 Europe
6.6 Asia Pacific
6.7 Latin America
6.8 Middle East & Africa

7 Global Big Data Analytics In Retail Market Attractiveness, by Region

8 North America Big Data Analytics In Retail Market Analysis and Forecast

8.1 Key Findings
8.2 North America Big Data Analytics In Retail Market Analysis (US$ Mn) and Forecast, By Type (2019-2028)

8.2.1 Small and Medium Enterprises
8.2.2 Large-scale Organizations
8.2.3 Other

8.3 North America Big Data Analytics In Retail Market Analysis (US$ Mn) and Forecast, By Application (2019-2028)

8.3.1 Merchandising and Supply Chain Analytics
8.3.2 Social Media Analytics
8.3.3 Customer Analytics
8.3.4 Operational Intelligence
8.3.5 Other Applications

8.4 North America Big Data Analytics In Retail Market Analysis (US$ Mn) and Forecast, By Country (2019-2028)

8.4.1 U.S.
8.4.2 Canada
8.4.3 Rest of North America

8.5 North America Big Data Analytics In Retail Market Attractiveness Analysis

8.5.1 By Type
8.5.2 By Application
8.5.3 By Country

9 Europe Big Data Analytics In Retail Market Analysis and Forecast

9.1 Key Findings
9.2 Europe Big Data Analytics In Retail Market Analysis (US$ Mn) and Forecast, By Type (2019-2028)

9.2.1 Small and Medium Enterprises
9.2.2 Large-scale Organizations
9.2.3 Other

9.3 Europe Big Data Analytics In Retail Market Analysis (US$ Mn) and Forecast, By Application (2019-2028)

9.3.1 Merchandising and Supply Chain Analytics
9.3.2 Social Media Analytics
9.3.3 Customer Analytics
9.3.4 Operational Intelligence
9.3.5 Other Applications

9.4 Europe Big Data Analytics In Retail Market Analysis (US$ Mn) and Forecast, By Country (2019-2028)

9.4.1 U.K.
9.4.2 Germany
9.4.3 France
9.4.4 Italy
9.4.5 Rest of Europe

9.5 Europe Big Data Analytics In Retail Market Attractiveness Analysis

9.5.1 By Type
9.5.2 By Application
9.5.3 By Country

10 Asia Pacific Big Data Analytics In Retail Market Analysis and Forecast

10.1 Key Findings
10.2 Asia Pacific Big Data Analytics In Retail Market Analysis (US$ Mn) and Forecast, By Type (2019-2028)

10.2.1 Small and Medium Enterprises
10.2.2 Large-scale Organizations
10.2.3 Other

10.3 Asia Pacific Big Data Analytics In Retail Market Analysis (US$ Mn) and Forecast, By Application (2019-2028)

10.3.1 Merchandising and Supply Chain Analytics
10.3.2 Social Media Analytics
10.3.3 Customer Analytics
10.3.4 Operational Intelligence
10.3.5 Other Applications

10.4 Asia Pacific Big Data Analytics In Retail Market Analysis (US$ Mn) and Forecast, By Country (2019-2028)

10.4.1 China
10.4.2 India
10.4.3 Japan
10.4.4 South Korea
10.4.5 Rest of APAC

10.5 Asia Pacific Big Data Analytics In Retail Market Attractiveness Analysis

10.5.1 By Type
10.5.2 By Application
10.5.3 By Country

11 Latin America Big Data Analytics In Retail Market Analysis and Forecast

11.1 Key Findings
11.2 Latin America Big Data Analytics In Retail Market Analysis (US$ Mn) and Forecast, By Type (2019-2028)

11.2.1 Small and Medium Enterprises
11.2.2 Large-scale Organizations
11.2.3 Other

11.3 Latin America Big Data Analytics In Retail Market Analysis (US$ Mn) and Forecast, By Application (2019-2028)

11.3.1 Merchandising and Supply Chain Analytics
11.3.2 Social Media Analytics
11.3.3 Customer Analytics
11.3.4 Operational Intelligence
11.3.5 Other Applications

11.4 Latin America Big Data Analytics In Retail Market Analysis (US$ Mn) and Forecast, By Country (2019-2028)

11.4.1 Brazil
11.4.2 Rest of Latin America China

11.5 Latin America Big Data Analytics In Retail Market Attractiveness Analysis

11.5.1 By Type
11.5.2 By Application
11.5.3 By Country

12 Middle East & Africa (MEA) Big Data Analytics In Retail Market Analysis and Forecast

12.1 Key Findings
12.2 Middle East & Africa (MEA) Big Data Analytics In Retail Market Analysis (US$ Mn) and Forecast, By Product Type (2019-2028)

12.2.1 Small and Medium Enterprises
12.2.2 Large-scale Organizations
12.2.3 Other

12.3 Middle East & Africa (MEA) Big Data Analytics In Retail Market Analysis (US$ Mn) and Forecast, By Application (2019-2028)

12.3.1 Merchandising and Supply Chain Analytics
12.3.2 Social Media Analytics
12.3.3 Customer Analytics
12.3.4 Operational Intelligence
12.3.5 Other Applications

12.4 Middle East & Africa (MEA) Big Data Analytics In Retail Market Analysis (US$ Mn) and Forecast, By Country (2019-2028)

12.4.1 GCC Countries
12.4.2 South Africa
12.4.3 Rest of MEA

12.5 Middle East & Africa (MEA) Big Data Analytics In Retail Market Attractiveness Analysis

12.5.1 By Type
12.5.2 By Application
12.5.3 By Country

13 Competitive Landscape

13.1 Market Players – Competition Matrix
13.2 Market Share Analysis by Key Players, 2020 (%)
13.3 Company Profiles

13.3.1 ADOBE INC.

13.3.1.1 Company Overview
13.3.1.2 Company Snapshot
13.3.1.3 Financial Overview
13.3.1.4 Product Portfolio
13.3.1.5 Key Developments/Strategies

13.3.2 CISCO SYSTEMS
13.3.3 INC.
13.3.4 INTERNATIONAL BUSINESS MACHINES CORPORATION
13.3.5 ORACLE CORPORATION
13.3.6 SAP SE
13.3.7 SAS INSTITUTE INC.
13.3.8 SISENSE INC.
13.3.9 TERADATA CORPORATION
13.3.10 TIBCO SOFTWARE INC.
13.3.11 TABLEAU SOFTWARE

14 Key Takeaways