CHAPTER 1 INTRODUCTION
1.1. Market Definition
1.2. Executive Summary
1.3. The Scope of the Study
CHAPTER 2 RESEARCH METHODOLOGY
2.1. Secondary Research
2.2. Primary Research
2.3. Analytic Tools and Model
2.4. Economic Indicator
2.4.1 Base Year, Base Currency, Forecasting Period
2.5. Expert Validation
2.6. Study Timeline
CHAPTER 3 MARKET ANALYSIS
3.1. Industry Value Chain Analysis
3.2. Porter's Five Force Analysis
3.2.1. Bargaining Power of Buyers
3.2.2. Bargaining Power of Suppliers
3.2.3. Threats of Substitutes
3.2.4. Threats of New Entrants
3.2.5. Degree of Competition
3.3. PESTLE Analysis
3.3.1. Political
3.3.2. Economical
3.3.3. Social
3.3.4. Technological
3.3.5. Legal
3.3.6. Environmental
3.4. SWOT Analysis
3.4.1. Strengths
3.4.2. Weakness
3.4.3. Opportunities
3.4.4. Threats
3.5. Y-O-Y Analysis
CHAPTER 4 MARKET DYNAMICS
4.1. Market Drivers
4.1.1. Growing demand for better response time
4.1.2. Achieving having new data correlations
4.1.3. The occurrence of AI advanced software and services
4.1.4. Multi-dimensional data management with real time query support
4.2. Market Restraints & Challenges
4.2.1. High cost for initial setup
4.2.2. Lack of skilled technical professionals
4.2.3. Impact of data integration on insights timeline
4.2.4. Constraints of functionality
4.3. Market Opportunities
4.3.1. Rapid penetration of virtualisation for big data analytics
CHAPTER 5 GLOBAL GRAPH DATABASE MARKET – BY COMPONENT
5.1. Tools
5.2. Services
5.2.1. Managed Services
5.2.2. Professional Services
5.2.2.1. Consulting Services
5.2.2.2. Support and Maintenance Services
5.2.2.3. Deployment and Integration Services
CHAPTER 6 GLOBAL GRAPH DATABASE MARKET – BY TYPE
6.1. Resource Description Framework
6.2. Property Graph
CHAPTER 7 GLOBAL GRAPH DATABASE MARKET – BY DEPLOYMENT MODE
7.1. On Premises
7.2. Cloud
CHAPTER 8 GLOBAL GRAPH DATABASE MARKET – BY ORGANISATION SIZE
8.1. Small and Medium Enterprises
8.2. Large Enterprises
CHAPTER 9 GLOBAL GRAPH DATABASE MARKET – BY APPLICATION
9.1. Risk Management and Fraud Detection
9.2. Recommendation Engines
9.3. Customer Analytics
9.4. Others
CHAPTER 10 GLOBAL GRAPH DATABASE MARKET – BY END USERS
10.1. Banking, Financial Service, Insurance (BFSI)
10.2. Energy and Utilities
10.3. Telecommunications and IT
10.4. Healthcare and Lifesciences
10.5. Manufacturing
10.6. Retail and Ecommerce
10.7. Government and Public
10.8. Transportation and Logistics
10.9. Others
CHAPTER 11 GLOBAL GRAPH DATABASE MARKET - BY GEOGRAPHY
11.1. Introduction
11.2. North America
11.2.1. U.S.
11.2.2. Canada
11.2.3. Mexico
11.2.4. Costa Rica
11.3. South America
11.3.1. Brazil
11.3.2. Argentina
11.3.3. Chile
11.3.4. Columbia
11.3.5. Others
11.4. Europe
11.4.1. U.K.
11.4.2. Germany
11.4.3. France
11.4.4. Italy
11.4.5. Spain
11.4.6. Russia
11.4.7. Netherlands
11.4.8. Switzerland
11.4.9. Poland
11.4.10. Others
11.5. Asia Pacific
11.5.1. China
11.5.2. Japan
11.5.3. India
11.5.4. South Korea
11.5.5. Australia & New Zealand
11.5.6. Malaysia
11.5.7. Singapore
11.5.8. Others
11.6. Middle East & Africa
11.6.1. UAE
11.6.2. Saudi Arabia
11.6.3. Iran
11.6.4. Iraq
11.6.5. Qatar
11.6.6. South Africa
11.6.7. Algeria
11.6.8. Morocco
11.6.9. Nigeria
11.6.10. Egypt
11.6.11. Others
CHAPTER 12 GLOBAL GRAPH DATABASE MARKET - COMPANY PROFILES
12.1. IBM Corporation
12.2. Microsoft Corporation
12.3. Oracle Corporation
12.4. Amazon Web Services, Inc.
12.5. DataStax, Inc.
12.6. MongoDB Inc.
12.7. OpenLink Software, Inc.
12.8. Franz Inc.
12.9. TIBCO Software Inc.
12.10. Teradata Corporation
12.11. Callidus Software Inc.
12.12. Stardog Union
12.13. Cambridge Semantics, Inc.
12.14. Fluree, PBC
12.15. Bitnine Co, Ltd.
CHAPTER 13 GLOBAL GRAPH DATABASE MARKET - COMPETITIVE LANDSCAPE
13.1. Market Share Analysis
13.2. Strategies adopted by top companies
13.3. Mergers, Acquisitions, Collaborations & Agreements
CHAPTER 14 MARKET INSIGHTS
14.1. Industry Experts Insights
14.2. Analysts Opinions
14.3. Investment Opportunities
CHAPTER 15 APPENDIX
15.1. List of Tables
15.2. List of Figures
