Table of Contents
Chapter 1. Global Big Data Analytics in Retail Market Executive Summary
1.1. Global Big Data Analytics in Retail Market Size & Forecast (2022-2032)
1.2. Regional Summary
1.3. Segmental Summary
1.3.1. By Component
1.3.2. By Deployment
1.3.3. By Organization Size
1.3.4. By Application
1.4. Key Trends
1.5. Recession Impact
1.6. Analyst Recommendation & Conclusion
Chapter 2. Global Big Data Analytics in Retail Market Definition and Research Assumptions
2.1. Research Objective
2.2. Market Definition
2.3. Research Assumptions
2.3.1. Inclusion & Exclusion
2.3.2. Limitations
2.3.3. Supply Side Analysis
2.3.3.1. Availability
2.3.3.2. Infrastructure
2.3.3.3. Regulatory Environment
2.3.3.4. Market Competition
2.3.3.5. Economic Viability (Consumer's Perspective)
2.3.4. Demand Side Analysis
2.3.4.1. Regulatory frameworks
2.3.4.2. Technological Advancements
2.3.4.3. Environmental Considerations
2.3.4.4. Consumer Awareness & Acceptance
2.4. Estimation Methodology
2.5. Years Considered for the Study
2.6. Currency Conversion Rates
Chapter 3. Global Big Data Analytics in Retail Market Dynamics
3.1. Market Drivers
3.1.1. Increase in spending on big data analytics tools
3.1.2. Growth of e-commerce sector
3.1.3. Rise in demand for high-quality content
3.2. Market Challenges
3.2.1. Issues in collecting and collating data from disparate systems
3.2.2. Presence of free & open-source VFX software
3.3. Market Opportunities
3.3.1. Integration of advanced technologies such as VR & AI
3.3.2. Increased spending on VFX in emerging markets
Chapter 4. Global Big Data Analytics in Retail Market Industry Analysis
4.1. Porter's 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter's 5 Force Model
4.1.7. Porter's 5 Force Impact Analysis
4.2. PESTEL Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.2.5. Environmental
4.2.6. Legal
4.3. Top Investment Opportunity
4.4. Top Winning Strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion
Chapter 5. Global Big Data Analytics in Retail Market Size & Forecasts by Component 2022-2032
5.1. Segment Dashboard
5.2. Global Big Data Analytics in Retail Market: Component Revenue Trend Analysis, 2022 & 2032 (USD Billion)
5.2.1. Software
5.2.2. Services
Chapter 6. Global Big Data Analytics in Retail Market Size & Forecasts by Deployment 2022-2032
6.1. Segment Dashboard
6.2. Global Big Data Analytics in Retail Market: Deployment Revenue Trend Analysis, 2022 & 2032 (USD Billion)
6.2.1. On-Premise
6.2.2. Cloud
Chapter 7. Global Big Data Analytics in Retail Market Size & Forecasts by Organization Size 2022-2032
7.1. Segment Dashboard
7.2. Global Big Data Analytics in Retail Market: Organization Size Revenue Trend Analysis, 2022 & 2032 (USD Billion)
7.2.1. Large Enterprise
7.2.2. Small & Medium Enterprise
Chapter 8. Global Big Data Analytics in Retail Market Size & Forecasts by Application 2022-2032
8.1. Segment Dashboard
8.2. Global Big Data Analytics in Retail Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
8.2.1. Sales & Marketing Analytics
8.2.2. Supply Chain Operations Management
8.2.3. Merchandising Analytics
8.2.4. Customer Analytics
8.2.5. Others
Chapter 9. Global Big Data Analytics in Retail Market Size & Forecasts by Region 2022-2032
9.1. North America Big Data Analytics in Retail Market
9.1.1. U.S. Big Data Analytics in Retail Market
9.1.1.1. Component breakdown size & forecasts, 2022-2032
9.1.1.2. Deployment breakdown size & forecasts, 2022-2032
9.1.1.3. Organization Size breakdown size & forecasts, 2022-2032
9.1.1.4. Application breakdown size & forecasts, 2022-2032
9.1.2. Canada Big Data Analytics in Retail Market
9.2. Europe Big Data Analytics in Retail Market
9.2.1. U.K. Big Data Analytics in Retail Market
9.2.2. Germany Big Data Analytics in Retail Market
9.2.3. France Big Data Analytics in Retail Market
9.2.4. Spain Big Data Analytics in Retail Market
9.2.5. Italy Big Data Analytics in Retail Market
9.2.6. Rest of Europe Big Data Analytics in Retail Market
9.3. Asia-Pacific Big Data Analytics in Retail Market
9.3.1. China Big Data Analytics in Retail Market
9.3.2. India Big Data Analytics in Retail Market
9.3.3. Japan Big Data Analytics in Retail Market
9.3.4. Australia Big Data Analytics in Retail Market
9.3.5. South Korea Big Data Analytics in Retail Market
9.3.6. Rest of Asia Pacific Big Data Analytics in Retail Market
9.4. Latin America Big Data Analytics in Retail Market
9.4.1. Brazil Big Data Analytics in Retail Market
9.4.2. Mexico Big Data Analytics in Retail Market
9.4.3. Rest of Latin America Big Data Analytics in Retail Market
9.5. Middle East & Africa Big Data Analytics in Retail Market
9.5.1. Saudi Arabia Big Data Analytics in Retail Market
9.5.2. South Africa Big Data Analytics in Retail Market
9.5.3. Rest of Middle East & Africa Big Data Analytics in Retail Market
Chapter 10. Competitive Intelligence
10.1. Key Company SWOT Analysis
10.2. Top Market Strategies
10.3. Company Profiles
10.3.1. Oracle Corporation
10.3.1.1. Key Information
10.3.1.2. Overview
10.3.1.3. Financial (Subject to Data Availability)
10.3.1.4. Product Summary
10.3.1.5. Market Strategies
10.3.2. SAP SE
10.3.3. Salesforce.com, Inc.
10.3.4. Teradata Corporation
10.3.5. Qlik Technologies Inc.
10.3.6. TIBCO Software Inc.
10.3.7. Adobe
10.3.8. IBM Corporation
10.3.9. Microsoft Corporation
10.3.10. SAS Institute Inc.
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes