Chapter 1. Research Objective
1.1 Objective, Definition & Scope
1.2 Methodology
1.2.1 Primary Research
1.2.2 Secondary Research
1.2.3 Market Forecast - Estimation & Approach
1.2.4 Assumptions & Assessments
1.3 Insights and Growth - Relevancy Mapping
1.3.1 FABRIC Platform
1.4 Data mining & efficiency
Chapter 2. Executive Summary
2.1 Big Data Analytics In RetailMarket Overview
2.2 Interconnectivity & Related markets
2.3 Ecosystem Map
2.4 Big Data Analytics In RetailMarket Business Segmentation
2.5 Big Data Analytics In RetailMarket Geographic Segmentation
2.6 Competition Outlook
2.7 Key Statistics
Chapter 3. Strategic Analysis
3.1 Big Data Analytics In RetailMarket Revenue Opportunities
3.2 Cost Optimization
3.3 Covid19 aftermath - Analyst view
3.4 Big Data Analytics In RetailMarket Digital Transformation
Chapter 4. Market Dynamics
4.1 DROC
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PEST Analysis
4.2.1 Political
4.2.2 Economic
4.2.3 Social
4.2.4 Technological
4.3 Market Impacting Trends
4.3.1 Positive Impact Trends
4.3.2 Adverse Impact Trends
4.4 Porter's 5-force Analysis
4.5 Market News - By Segments
4.5.1 Organic News
4.5.2 Inorganic News
Chapter 5. Market Segmentation
The Big Data Analytics In RetailMarket has been analysed to include the below segmentation:
By Component
• Software
• Service
By Deployment
• On-Premise
• Cloud
By Organization Size
• Large Enterprises
• Smes
By Application
• Sales And Marketing Analytics
• Supply Chain Operations Management
• Merchandising Analytics
• Customer Analytics
• Others
Chapter 5A. Regional Segmentation
The Big Data Analytics In RetailMarket has been analysed by studying the following regions:
North America
• By Component
• By Deployment
• By Organization Size
• By Application
Europe
• By Component
• By Deployment
• By Organization Size
• By Application
APAC
• By Component
• By Deployment
• By Organization Size
• By Application
LatAm
• By Component
• By Deployment
• By Organization Size
• By Application
MEA
• By Component
• By Deployment
• By Organization Size
• By Application
**The Regions are further studied to analyse the major countries within the respective regions. The coverage of the country level data is dynamic and is updated regularly based on the market movements. Normally, the countries covered in the report include:
• North America - United States, Canada, Mexico;
• Europe - United Kingdom, France, Italy, Germany, Spain, Rest of Europe;
• Asia Pacific - China, India, Japan, South Korea, Rest of APAC;
• Middle East & Africa - South Africa, GCC Countries, Rest of MEA;
• Latin America - Brazil, Argentina, Rest of LatAm;
Chapter 6. Market Use case studies
Chapter 7. KOL Recommendations
Chapter 8. Investment Landscape
8.1 Big Data Analytics In RetailMarket Investment Analysis
8.2 Market M&A
8.3 Market Fund Raise & Other activity
Chapter 9. Big Data Analytics In RetailMarket - Competitive Intelligence
9.1 Company Positioning Analysis
9.1.1 Positioning - By Revenue
9.1.2 Positioning - By Business Score
9.1.3 Legacy Positioning
9.2 Competitive Strategy Analysis
9.2.1 Organic Strategies
9.2.2 Inorganic Strategies
Chapter 10. Key Company Profiles
*The Big Data Analytics In RetailMarket Report profiles companies based on the material impact they have on the market ecosystem. These are hence, to be read as 'Key Players' and not necessarily 'Market Leaders'.
Companies are typically profiled to include:
10.x.1 Company Fundamentals
10.x.2 Performance Overview
10.x.3 Product Overview
10.x.4 Recent Developments
Key Companies profiled in this report include:
• Alteryx, Inc.
• International Business Machines Corporation
• International Business Machines Corporation
• Oracle Corporation
• Sap Se
• Sas Institute Inc.
• Microstrategy Incorporated
• Qlik Technologies
• Retailnext, Inc.
• Teradata Corporation
Chapter 11. Appendix
11.1 About AllTheResearch (ATR)
11.2 ATR Services
11.3 Author details
11.4 Terms & Conditions
11.5 Contact us