Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2027 (USD Billion)
1.2.1. Graph Database Market , by Region, 2019-2027 (USD Billion)
1.2.2. Graph Database Market , by Component, 2019-2027 (USD Billion)
1.2.3. Graph Database Market , by Type, 2019-2027 (USD Billion)
1.2.4. Graph Database Market , by Deployment, 2019-2027 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Graph Database Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Graph Database Market Dynamics
3.1. Graph Database Market Impact Analysis (2019-2027)
3.1.1. Market Drivers
3.1.1.1. Need to incorporate real-time big data mining with visualization of result
3.1.1.2. Growing demand for solutions that can process low-latency queries
3.1.1.3. Adoption of AI-based graph database tools and services to drive the market
3.1.2. Market Restraint
3.1.2.1. Lack of standardization and programming ease
3.1.3. Market Opportunities
3.1.3.1. Enterprise data unification and rapid proliferation of knowledge graphs
3.1.3.2. Semantic knowledge graphs for addressing complex scientific research
Chapter 4. Global Graph Database 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 (2018-2027)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
Chapter 5. Global Graph Database Market , by Component
5.1. Market Snapshot
5.2. Global Graph Database Market by Component, Performance - Potential Analysis
5.3. Global Graph Database Market Estimates & Forecasts by Component 2018-2027 (USD Billion)
5.4. Graph Database Market , Sub Segment Analysis
5.4.1. Software
5.4.2. Services
Chapter 6. Global Graph Database Market , by Type
a. Market Snapshot
6.1. Global Graph Database Market by Type, Performance - Potential Analysis
6.2. Global Graph Database Market Estimates & Forecasts by Type2018-2027 (USD Billion)
6.3. Graph Database Market , Sub Segment Analysis
6.3.1. Resource description framework
6.3.2. labelled property graph
Chapter 7. Global Graph Database Market , by Deployment
b. Market Snapshot
7.1. Global Graph Database Market by Deployment, Performance - Potential Analysis
7.2. Global Graph Database Market Estimates & Forecasts by Deployment 2018-2027 (USD Billion)
7.3. Graph Database Market , Sub Segment Analysis
7.3.1. Cloud
7.3.2. On premises
Chapter 8. Global Graph Database Market , Regional Analysis
8.1. Graph Database Market , Regional Market Snapshot
8.2. North America Graph Database Market
8.2.1. U.S. Graph Database Market
8.2.1.1. Component breakdown estimates & forecasts, 2018-2027
8.2.1.2. Type breakdown estimates & forecasts, 2018-2027
8.2.1.3. Deployment breakdown estimates & forecasts, 2018-2027
8.2.2. Canada Graph Database Market
8.3. Europe Graph Database Market Snapshot
8.3.1. U.K. Graph Database Market
8.3.2. Germany Graph Database Market
8.3.3. France Graph Database Market
8.3.4. Spain Graph Database Market
8.3.5. Italy Graph Database Market
8.3.6. Rest of Europe Graph Database Market
8.4. Asia-Pacific Graph Database Market Snapshot
8.4.1. China Graph Database Market
8.4.2. India Graph Database Market
8.4.3. Japan Graph Database Market
8.4.4. Australia Graph Database Market
8.4.5. South Korea Graph Database Market
8.4.6. Rest of Asia Pacific Graph Database Market
8.5. Latin America Graph Database Market Snapshot
8.5.1. Brazil Graph Database Market
8.5.2. Mexico Graph Database Market
8.6. Rest of The World Graph Database Market
Chapter 9. Competitive Intelligence
9.1. Top Market Strategies
9.2. Company Profiles
9.2.1. IBM
9.2.1.1. Key Information
9.2.1.2. Overview
9.2.1.3. Financial (Subject to Data Availability)
9.2.1.4. Product Summary
9.2.1.5. Recent Developments
9.2.2. Oracle
9.2.3. Microsoft
9.2.4. AWS
9.2.5. SAP
9.2.6. Neo4j
9.2.7. Marklogic
9.2.8. Tigergraph
9.2.9. Stardog
9.2.10. Datastax

Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption