Big Data Procurement Intelligence Report, 2023 - 2030 (Revenue Forecast, Supplier Ranking & Matrix, Emerging Technologies, Pricing Models, Cost Structure, Engagement & Operating Model, Competitive Landscape)

Research Scope & Content Outline

Chapter 1. Methodology and Scope
                    1.1. Market Segmentation & Scope
                    1.2. Research Methodology
                    1.3. Research Scope & Assumption
                    1.4. Information Procurement
                         1.4.1. Purchased Database
                         1.4.2. GVR’s Internal Database
                         1.4.3. Secondary Sources & Third-Party Perspectives
                         1.4.4. Primary Research
                    1.5. Information Analysis
                         1.5.1. Data Analysis Models
                    1.6. Market Formulation & Data Visualization
                    1.7. Data Validation & Publishing
Chapter 2. Big Data Market Intelligence
                    2.1. Category Definition
                    2.2. Category Intelligence
                         2.2.1. Market Size
                         2.2.2. Trends
                         2.2.3. Drivers
                         2.2.4. Challenges
                         2.2.5. Segmental Outlook
                         2.2.6. Regional Outlook
                    2.3. Technology
                         2.3.1. Emerging Technology
                         2.3.2. Best Practices in the Industry
                    2.4. Regulatory Landscape
                    2.5. Porter’s Five Forces Analysis
                         2.5.1. Bargaining power of suppliers
                         2.5.2. Bargaining power of buyers
                         2.5.3. Threat of substitutes
                         2.5.4. Threat of new entrants
                         2.5.5. Competitive rivalry
Chapter 3. Big Data - Supplier Intelligence
                    3.1. Identification of top 10 suppliers
                         3.1.1. Accenture
                         3.1.2. Cloudera
                         3.1.3. Google
                         3.1.4. Hewlett-Packard Company (HP)
                         3.1.5. IBM
                         3.1.6. Mu Sigma Inc.
                         3.1.7. Amazon
                         3.1.8. Oracle Corporation
                         3.1.9. Splunk Inc
                         3.1.10. Teradata Corporation
                    3.2. Big Data - Supplier’s Landscape
                    3.3. Big Data - Supplier’s Ranking Methodology
                         3.3.1. Supplier Operational Capabilities
                              3.3.1.1. Industries Served
                              3.3.1.2. Years in Service
                              3.3.1.3. Revenue Generated
                              3.3.1.4. Employee Strength
                              3.3.1.5. Geographical Service Provision
                              3.3.1.6. Certifications
                              3.3.1.7. Key Clients
                         3.3.2. Supplier Functional Capabilities
                              3.3.2.1. Statistics
                              3.3.2.2. Spatial Analysis
                              3.3.2.3. Semantics
                              3.3.2.4. Interactive Discovery
                              3.3.2.5. Visualization and Others
                    3.4. Big Data - Suppliers Scoring Criteria
                    3.5. Big Data - Suppliers Positional Matrix (SPM)
                         3.5.1. Rulers
                         3.5.2. Challengers
                         3.5.3. Loungers
                         3.5.4. Niches
                    3.6. Big Data - Supplier Market Concentration
                         3.6.1. Industry structure
                    3.7. Recommended big data Suppliers.
                         3.7.1. Supplier 1 with detailed profile
                         3.7.2. Supplier 2 with detailed profile
                         3.7.3. Supplier 3 with detailed profile
Chapter 4. Competitive Landscape
                    4.1. Recent Supplier Developments with Measured Impact
                         4.1.1. Joint Ventures
                         4.1.2. Mergers & Acquisitions
                         4.1.3. Collaborations or Partnerships
                         4.1.4. Other major developments
                    4.2. Supply - Demand Analysis
                         4.2.1. Supply Analysis
                         4.2.2. Demand Analysis
Chapter 5. Big Data - Pricing and Cost Intelligence
                    5.1. Cost Structure Overview
                         5.1.1. System Development and Integration
                         5.1.2. Testing and Launch
                         5.1.3. Maintenance
                         5.1.4. Architecture Design
                         5.1.5. Hardware and Software Configuration
                         5.1.6. Others
                    5.2. Factors Impacting Big Data Prices
                         5.2.1. Project Scope
                         5.2.2. Data Volume
                         5.2.3. Technology Stack
                         5.2.4. Others
                    5.3. Pricing Model Analysis
                         5.3.1. Cost plus or,
                         5.3.2. Volume based or,
                         5.3.3. Service based or,
                         5.3.4. Dynamic pricing model or,
                         5.3.5. Competitive pricing model or,
                         5.3.6. Others
                    5.4. List of AWS Big Data Price Per Hour
                    5.5. Microsoft Azure Blob Storage - Average Price Fluctuations per TB (USD) (2018 - 2022)
Chapter 6. Sourcing Intelligence
                    6.1. Engagement Model
                         6.1.1. Fully Outsourcing Model or,
                         6.1.2. Partial/Hybrid Outsourcing Model or,
                         6.1.3. In-house Product Development Model or,
                         6.1.4. Shared Service Model
                    6.2. Operating Model
                         6.2.1. Basic Provider or,
                         6.2.2. Approved Provider or,
                         6.2.3. Performance-based Model or,
                         6.2.4. Others
                    6.3. KPI/SLA Elements
                    6.4. Negotiation Strategies
                    6.5. LCC/BCC Analysis
                         6.5.1. China
                         6.5.2. India
                         6.5.3. Japan
                         6.5.4. U.S.
                         6.5.5. UK
                         6.5.6. Insights on top 2 LCC/BCC Countries
                    6.6. Big Data Engineer Salary in China, (USD per month) (2018 - 2023)