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Global Graph Database Market by Model Type (RDF, LPG, Hypergraph), Offering (Solutions, Services), Analysis Type (Community Analysis, Connectivity Analysis, Centrality Analysis, Path Analysis), Vertical, and Region - Forecast to 2028

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    Report

  • 279 Pages
  • August 2023
  • Region: Global
  • Markets and Markets
  • ID: 5397902
Description Jump to:

Need to Incorporate Real-Time Big Data Mining with Result Visualization

The global graph database market size to grow from USD 2.9 billion in 2023 to USD 7.3 billion by 2028, at a Compound Annual Growth Rate (CAGR) of 20.2% during the forecast period. Graph databases find their applications in linguistics, chemistry, and social networks. For instance, the integration of technology enables the user to demonstrate the relationship between people and their organizations. Companies operating in the market have come up with several use cases to describe specific graph database applications in multiple industry verticals. One such instance is fraud detection using the graph database technology developed by Ravelin Technology. Ravelin visualizes graph databases to identify suspicious nodes. The company has developed its own proprietary graph database solution to generate a full graph for any given data set in single-digit microseconds.

The cloud segment to have the largest CAGR during the forecast period

By deployment mode, the graph database market has been segmented into on-premises and cloud. The CAGR of the cloud deployment mode is estimated to be the largest during the forecast period. The cloud-based deployment helps businesses more efficiently process and report data findings, enhance collaboration, and enable decision-makers to get faster access to business intelligence leading to its higher adoption in the graph database market.

The native graph database segment to have the largest CAGR during the forecast period

Native graph database is a specialized database management system designed to efficiently store, manage, and query graph-structured data, where entities (nodes) are connected by relationships (edges). Unlike traditional relational databases, native graph databases are optimized for traversing complex relationships and performing graph-oriented queries. They enable the representation of real-world connections in a more intuitive and natural manner, making them particularly well-suited for use cases like social networks, recommendation systems, fraud detection, and knowledge graphs.

The healthcare, pharmaceuticals, and life sciences segment to have the largest CAGR during the forecast period

Graph databases offer significant advantages to the healthcare, pharmaceutical, and life sciences sectors due to their ability to model and query complex relationships within data. Graph databases can help researchers identify potential drug targets by analyzing the interactions between proteins, genes, and pathways. Relationships between proteins and diseases can be modeled, aiding in the validation of therapeutic targets.

Among regions, APAC to hold higher CAGR during the forecast period

APAC is expected to grow at a good pace during the forecast period. Opportunities for smaller graph database vendors to introduce graph database solutions for numerous sectors have also increased. All these factors are responsible for the expeditious growth of the graph database market in the region. Companies operating in APAC continue to focus on improving customer services to drive market competitiveness and revenue growth. China, Japan,India, and ANZ have displayed ample growth opportunities in the graph database market.

Breakdown of primaries

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the graph database market.

  • By Company: Tier I - 35%, Tier II - 45%, and Tier III - 20%
  • By Designation: C-Level Executives - 35%, D-Level Executives - 25%, and Managers - 40%
  • By Region: North America - 30%, Europe - 30%, APAC - 25%, MEA - 10%, Latin America - 5%

The report includes the study of key players offering graph database solutions and services. It profiles major vendors in the global graph database market. The major vendors in the global graph database market include Oracle Corporation (US), IBM Corporation (US), Amazon Web Services, Inc. (US), DataStax (US), Ontotext (Bulgaria), Stardog Union (US), Hewlett Packard Enterprise (US), ArangoDB (US), Blazegraph (US), Microsoft Corporation (US), SAP SE (Germany), Teradata Corporation (US), Openlink Software (US), TIBCO Software, Inc. (US), Neo4j, Inc. (US), GraphBase (Australia), Cambridge Semantics (US), TigerGraph, Inc. (US), Objectivity Inc. (US), Bitnine Co, Ltd. (US), Franz Inc. (US), Redis Labs (US), Graph Story (US), Dgraph Labs (US), Eccenca (Germany), and Fluree (US).

Research Coverage

The market study covers the graph database market across segments. It aims at estimating the market size and the growth potential of this market across different segments, such as components, type, deployment mode, organization size, application, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.

Key Benefits of Buying the Report

The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall market for graph database and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

  • Analysis of key drivers (Need to incorporate real-time big data mining with result visualization, Growing demand for solutions to process low-latency queries, and Adoption of AI-based graph database tools and services), restraints (Shortfall of standardization and programming ease), opportunities (Lack of technical expertise), and challenges (Enterprise data unification and rapid proliferation of knowledge graphs, Semantic knowledgeable graphs for addressing complex scientific research, Emergence of open knowledge networks) influencing the growth of the graph database market.
  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the graph database market.
  • Market Development: Comprehensive information about lucrative markets - the report analyses the graph database market across varied regions
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in graph database market strategies; the report also helps stakeholders understand the pulse of the graph database market and provides them with information on key market drivers, restraints, challenges, and opportunities
  • Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players such as Microsoft (US), SAP (Germany), and IBM (US) among others in the graph database market.

Table of Contents

1 Introduction
1.1 Study Objectives
1.2 Market Definition
1.2.1 Inclusions and Exclusions
1.3 Study Scope
1.3.1 Market Segmentation
1.3.2 Regions Covered
1.3.3 Years Considered
1.4 Currency Considered
Table 1 USD Exchange Rate, 2020-2022
1.5 Stakeholders
1.6 Summary of Changes

2 Research Methodology
2.1 Research Data
Figure 1 Graph Database Market: Research Design
2.1.1 Secondary Data
2.1.2 Primary Data
Table 2 Primary Interviews
2.1.2.1 Breakdown of Primary Interviews
2.1.2.2 Key Industry Insights
2.2 Data Triangulation
Figure 2 Data Triangulation
2.3 Market Size Estimation
Figure 3 Graph Database Market: Top-Down and Bottom-Up Approaches
2.3.1 Top-Down Approach
2.3.2 Bottom-Up Approach
Figure 4 Market Size Estimation
Figure 5 Market Size Estimation: Approach 1
Figure 6 Market Size Estimation: Approach 2
Figure 7 Market Size Estimation: Approach 3
2.4 Market Forecast
Table 3 Factor Analysis
2.5 Research Assumptions
2.6 Limitations and Risk Assessment
2.7 Recession Impact

3 Executive Summary
Table 4 Market Size and Growth Rate, 2018-2022 (USD Million, Y-O-Y%)
Table 5 Market Size and Growth Rate, 2023-2028 (USD Million, Y-O-Y%)
Figure 8 Solutions Segment to Account for Larger Market Size in 2023
Figure 9 Professional Services to be Larger Segment in 2023
Figure 10 Labeled Property Graph Segment to Hold Larger Market Size in 2023
Figure 11 On-Premises Deployment to Account for Larger Market in 2023
Figure 12 Community Analysis Segment to Hold Larger Market Share in 2023
Figure 13 Banking, Financial Services, and Insurance Vertical to Hold Largest Market Size in 2023
Figure 14 North America to Hold Highest Market Share in 2023

4 Premium Insights
4.1 Attractive Opportunities for Key Players in Market
Figure 15 Growing Need to Ensure Market Competitiveness to Boost Market Growth
4.2 Overview of Recession in Global Market
Figure 16 Market to Witness Minor Decline in Y-O-Y Growth in 2023
4.3 Market, by Vertical
Figure 17 Banking, Financial Services, and Insurance Vertical to be Largest Vertical Market During Forecast Period
4.4 Market, by Region
Figure 18 North America to Hold Largest Market Share by 2028
4.5 Market, by Model Type and Vertical
Figure 19 Lpg and Bfsi Segments to Hold Largest Market Shares by 2028

5 Graph Database Market Overview and Industry Trends
5.1 Market Dynamics
Figure 20 Drivers, Restraints, Opportunities, and Challenges: Market
5.1.1 Drivers
5.1.1.1 Need to Incorporate Real-Time Big Data Mining with Result Visualization
5.1.1.2 Growing Demand for Solutions to Process Low-Latency Queries
5.1.1.3 Adoption of AI-based Graph Database Tools and Services
5.1.2 Restraints
5.1.2.1 Shortage of Standardization and Programming Ease
5.1.3 Opportunity
5.1.3.1 Data Unification and Rapid Proliferation of Knowledge Graphs
5.1.3.2 Provision of Semantic Knowledgeable Graphs to Address Complex-Scientific Research
5.1.3.3 Emphasis on Emergence of Open Knowledge Networks
5.1.4 Challenges
5.1.4.1 Lack of Technical Expertise
5.2 Industry Trends
5.2.1 Growing Popularity of Enterprise Knowledge Graph
5.2.2 Rapid Use of Virtualization for Big Data Analytics
5.2.3 Massive Data Generation Across Bfsi, Retail, and Media & Entertainment Industries
5.3 Case Study Analysis
5.3.1 Kerberos Prevented Money-Laundering and Developed Compliance Management Application for Risk Management with Neo4J
5.3.2 Allegrograph Created Self-Descriptive Repository of Graph to Deliver Critical Answers to Complex Questions and Power Smart Applications
5.3.3 Kincards Used Neo4J to Revolutionize Business Cards
5.3.4 Yahoo7 Represented Content Within Knowledge Graph with Help of Blazegraph
5.3.5 Neo4J Enabled Pulitzer Prize-Winning Investigation into Global Tax Evasion to Visualize and Analyze Pertaining to Panama Papers Leaks
5.3.6 Graph Technology Helped Us Army by Tracking and Analyzing Equipment Maintenance After Employing Neo4J
5.3.7 Objective Ecm Underpinned Critical Health and Safety Processes in Offshore Petroleum Industry
5.3.8 Redisgraph Offered Great Mix of Maturity, Feature Completeness, and Interoperability to Thinkdata
5.3.9 Springermaterials Accelerated Research with Semantic Search
5.3.10 Medeanalytics Delivered High-Performance Databases Capable of Handling Multiple Application Scenarios Using Redis Enterprise
5.3.11 Jaguar Land Rover Accelerated Supply Chain Planning from Three Weeks to 45 Minutes
5.3.12 Macy's Reduced Catalog Data Refresh Time by Six-Fold
5.3.13 Metaphacts and Ontotext Enabled Global Pharma Company to Boost R&D Knowledge Discovery
5.3.14 Rfs Optimized Its Global Product and Inventory Management by Using Eccenca's Solution
5.4 Trends/Disruptions Impacting Customers/Buyers
Figure 21 Market: Trends/Disruptions Impacting Buyers/Clients
5.5 Graph Database: Evolution
5.6 Graph Database: Architecture
Figure 22 Architecture of Graph Database
5.7 Patent Analysis
5.7.1 Methodology
5.7.2 Document Type
Table 6 Patents Filed, 2013-2023
5.7.3 Innovation and Patent Applications
Figure 23 Total Number of Patents Granted, 2013-2023
5.7.3.1 Top Applicants
Figure 24 Top 10 Companies with Patent Applications, 2013-2023
Table 7 US: Top Ten Patent Owners in Market, 2013-2023
5.8 Value/Supply Chain Analysis
Figure 25 Value/Supply Chain of Graph Database
5.9 Ecosystem Analysis
Figure 26 Market: Ecosystem Analysis
Table 8 Role of Key Players in Market Ecosystem
5.10 Pricing Model Analysis
5.10.1 Average Selling Price Analysis, by Offering
Table 9 Pricing Analysis
5.11 Technology Analysis
5.11.1 Impact of Graph Database on Key Technologies
5.11.1.1 Cloud Computing
5.11.1.2 Ai and Ml
5.11.1.3 Iot
5.11.1.4 Blockchain
5.11.2 Impact of Graph Database on Adjacent Niche Technologies
5.11.2.1 Nlp
5.11.2.2 Big Data & Analytics
5.11.2.3 Graph Neural Networks (Gnns)
5.12 Porter's Five Forces Analysis
Figure 27 Graph Database Market: Porter's Five Forces Analysis
Table 10 Impact of Porter's Five Forces on Market
5.12.1 Threat of New Entrants
5.12.2 Threat of Substitutes
5.12.3 Bargaining Power of Suppliers
5.12.4 Bargaining Power of Buyers
5.12.5 Intensity of Competitive Rivalry
5.13 Regulatory Implications
5.13.1 General Data Protection Regulation
5.13.2 International Organization for Standardization 27001
5.13.3 EU Data Governance Act
5.13.4 Health Insurance Portability and Accountability Act of 1996
5.13.5 Basel Committee on Banking Supervision 239 Compliance
5.13.6 Sarbanes-Oxley Act of 2002
5.14 Technology Roadmap of Market
Table 11 Technology Roadmap of Market, 2023-2030

6 Graph Database Market, by Offering
6.1 Introduction
6.1.1 Offering: Market Drivers
Figure 28 Services Segment to Grow at Highest CAGR During Forecast Period
Table 12 Market, by Offering, 2018-2022 (USD Million)
Table 13 Market, by Offering, 2023-2028 (USD Million)
6.2 Solutions
6.2.1 Need to Facilitate Precise and In-Depth Data Connections to Drive Growth
Table 14 Solutions: Market, by Region, 2018-2022 (USD Million)
Table 15 Solutions: Market, by Region, 2023-2028 (USD Million)
6.2.2 By Solution Type
6.2.2.1 Graph Extension
Table 16 Graph Extension: Graph Database Market, by Region, 2018-2022 (USD Million)
Table 17 Graph Extension: Market, by Region, 2023-2028 (USD Million)
6.2.2.2 Graph Processing Engine
Table 18 Graph Processing Engine: Market, by Region, 2018-2022 (USD Million)
Table 19 Graph Processing Engine: Market, by Region, 2023-2028 (USD Million)
6.2.2.3 Native Graph Database
Table 20 Native Graph Database: Market, by Region, 2018-2022 (USD Million)
Table 21 Native Graph Database: Market, by Region, 2023-2028 (USD Million)
6.2.3 By Deployment Mode
6.2.3.1 Cloud
Table 22 Cloud: Market, by Region, 2018-2022 (USD Million)
Table 23 Cloud: Market, by Region, 2023-2028 (USD Million)
6.2.3.2 On-Premises
Table 24 On-Premises: Market, by Region, 2018-2022 (USD Million)
Table 25 On-Premises: Market, by Region, 2023-2028 (USD Million)
6.3 Services
Figure 29 Managed Services Segment to Grow at Highest CAGR During Forecast Period
Table 26 Market, by Service, 2018-2022 (USD Million)
Table 27 Market, by Services, 2023-2028 (USD Million)
Table 28 Services: Market, by Region, 2018-2022 (USD Million)
Table 29 Services: Market, by Region, 2023-2028 (USD Million)
6.3.1 Managed Services
6.3.1.1 Need to Maintain Tool Operations and Reduce Overhead Costs to Drive Market
Table 30 Managed Services: Market, by Region, 2018-2022 (USD Million)
Table 31 Managed Services: Market, by Region, 2023-2028 (USD Million)
6.3.2 Professional Services
Figure 30 Support & Maintenance Services Segment to Grow at Highest CAGR During Forecast Period
Table 32 Professional Services: Graph Database Market, by Region, 2018-2022 (USD Million)
Table 33 Professional Services: Market, by Region, 2023-2028 (USD Million)
Table 34 Market, by Professional Service, 2018-2022 (USD Million)
Table 35 Market, by Professional Service, 2023-2028 (USD Million)
6.3.2.1 Consulting Services
6.3.2.1.1 Growing Technicalities in Implementing Tools and Services to Boost Growth
Table 36 Consulting Services: Market, by Region, 2018-2022 (USD Million)
Table 37 Consulting Services: Market, by Region, 2023-2028 (USD Million)
6.3.2.2 Deployment & Integration Services
6.3.2.2.1 Growing Need to Overcome System-Related Issues Effectively to Drive Market
Table 38 Deployment & Integration Services: Market, by Region, 2018-2022 (USD Million)
Table 39 Deployment & Integration Services: Market, by Region, 2023-2028 (USD Million)
6.3.2.3 Support & Maintenance Services
6.3.2.3.1 Rising Deployment of Solutions to Fuel Market
Table 40 Support & Maintenance Services: Market, by Region, 2018-2022 (USD Million)
Table 41 Support & Maintenance Services: Market, by Region, 2023-2028 (USD Million)

7 Graph Database Market, by Model Type
7.1 Introduction
7.1.1 Model Type: Market Drivers
Figure 31 Hypergraphs Segment to Grow at Higher CAGR During Forecast Period
Table 42 Market, by Model Type, 2018-2022 (USD Million)
Table 43 Market, by Model Type, 2023-2028 (USD Million)
7.2 Resource Description Framework
7.2.1 Need for Intelligent Data Management Solutions in Rdf to Drive Demand for Graph Database
Table 44 Resource Description Framework: Market, by Region, 2018-2022 (USD Million)
Table 45 Resource Description Framework: Market, by Region, 2023-2028 (USD Million)
7.3 Labeled Property Graph
7.3.1 Increasing Urge to Find Relationships Among Numerous Entities to Boost Market
Table 46 Labeled Property Graph: Market, by Region, 2018-2022 (USD Million)
Table 47 Labeled Property Graph: Market, by Region, 2023-2028 (USD Million)
7.4 Hypergraphs
7.4.1 Hypergraphs to Provide More Accurate Reflection of Real-World Relationships and Enhance Data Modeling Accuracy and Query Versatility
Table 48 Hypergraphs: Market, by Region, 2018-2022 (USD Million)
Table 49 Hypergraphs: Market, by Region, 2023-2028 (USD Million)

8 Graph Database Market, by Analysis Type
8.1 Introduction
8.1.1 Analysis Type: Market Drivers
Figure 32 Community Analysis to Grow at Highest CAGR During Forecast Period
Table 50 Market, by Analysis Type, 2018-2022 (USD Million)
Table 51 Market, by Analysis Type, 2023-2028 (USD Million)
8.2 Community Analysis
8.2.1 Reduced Operational Cost and Higher Scalability to Enable Growth
Table 52 Community Analysis: Market, by Region, 2018-2022 (USD Million)
Table 53 Community Analysis: Market, by Region, 2023-2028 (USD Million)
8.3 Connectivity Analysis
8.3.1 Focus on Providing Tools to Optimize Information Flow to Drive Market
Table 54 Connectivity Analysis: Market, by Region, 2018-2022 (USD Million)
Table 55 Connectivity Analysis: Market, by Region, 2023-2028 (USD Million)
8.4 Centrality Analysis
8.4.1 Need for Identifying Nodes and Uncovering Hidden Patterns to Drive Market Expansion
Table 56 Centrality Analysis: Market, by Region, 2018-2022 (USD Million)
Table 57 Centrality Analysis: Market, by Region, 2023-2028 (USD Million)
8.5 Path Analysis
8.5.1 Focus on Identifying Fraudulent Activities to Foster Growth
Table 58 Path Analysis: Market, by Region, 2018-2022 (USD Million)
Table 59 Path Analysis: Market, by Region, 2023-2028 (USD Million)

9 Graph Database Market, by Vertical
9.1 Introduction
9.1.1 Vertical: Market Drivers
Figure 33 Bfsi to Hold Largest Market Size During Forecast Period
Table 60 Market, by Vertical, 2018-2022 (USD Million)
Table 61 Market, by Vertical, 2023-2028 (USD Million)
9.2 Banking, Financial Services, and Insurance
9.2.1 Growing Adoption of Financial Standards and Compliance with Regulations to Drive Market
Table 62 Banking, Financial Services, and Insurance: Market, by Region, 2018-2022 (USD Million)
Table 63 Banking, Financial Services, and Insurance: Market, by Region, 2023-2028 (USD Million)
9.2.2 Fraud Detection & Prevention
9.2.3 Anti-Money Laundering
9.2.4 Customer Relationship Management
9.2.5 Risk Management
9.2.6 Know Your Customer (Kyc) Processes
9.3 Retail & Ecommerce
9.3.1 Need to Identify Customer Behavior in Real Time to Drive Market
Table 64 Retail & Ecommerce: Graph Database Market, by Region, 2018-2022 (USD Million)
Table 65 Retail & Ecommerce: Market, by Region, 2023-2028 (USD Million)
9.3.2 Personalized Product Recommendations
9.3.3 Customer Segmentation and Targeting
9.3.4 Supply Chain Optimization
9.3.5 Social Media Influence on Buying Behavior
9.3.6 Inventory Management & Demand Forecasting
9.4 Telecom & It
9.4.1 Demand for Improved Services to Grow Customer Base to Drive Market
Table 66 Telecom & It: Market, by Region, 2018-2022 (USD Million)
Table 67 Telecom & It: Market, by Region, 2023-2028 (USD Million)
9.4.2 Network Analysis & Optimization
9.4.3 Customer Churn Prediction
9.4.4 Service Incident Management
9.4.5 Network Security Analysis
9.4.6 IoT Device Management & Connectivity
9.5 Healthcare, Life Sciences, and Pharmaceuticals
9.5.1 Need for Improved Patient-Centric Experience and Treatment in Real Time to Drive Market
Table 68 Healthcare, Lifesciences, and Pharmaceuticals: Graph Database Market, by Region, 2018-2022 (USD Million)
Table 69 Healthcare, Lifesciences, and Pharmaceuticals: Market, by Region, 2023-2028 (USD Million)
9.5.2 Patient Journey & Care Pathway Analysis
9.5.3 Drug Discovery & Development
9.5.4 Medical Knowledge Graphs
9.5.5 Disease Diagnosis & Surveillance
9.5.6 Personalized Medicine & Treatment Plans
9.6 Government & Public Sector
9.6.1 Rising Need for Enhanced Data Security and Advanced Intelligence to Drive Market
Table 70 Government & Public Sector: Market, by Region, 2018-2022 (USD Million)
Table 71 Government & Public Sector: Market, by Region, 2023-2028 (USD Million)
9.6.2 Security & Law Enforcement
9.6.3 Government Service Optimization
9.6.4 Crisis Management & Disaster Response Planning
9.6.5 Public Health Monitoring
9.6.6 Legislative & Regulatory Analysis
9.7 Manufacturing & Automotive
9.7.1 Growing Need to Extend Factory Equipment Lifespan and Reduce Production Risk Delays to Boost Growth
Table 72 Manufacturing & Automotive: Graph Database Market, by Region, 2018-2022 (USD Million)
Table 73 Manufacturing & Automotive: Market, by Region, 2023-2028 (USD Million)
9.7.2 Product Lifecycle Management
9.7.3 Quality Control & Defect Tracking
9.7.4 Equipment & Predictive Maintenance
9.7.5 Vendor & Supplier Analysis
9.8 Media & Entertainment
9.8.1 Demand for Modeling-User Preferences and Content Interactions to Foster Market
Table 74 Media & Entertainment: Market, by Region, 2018-2022 (USD Million)
Table 75 Media & Entertainment: Market, by Region, 2023-2028 (USD Million)
9.8.2 Content Recommendation & Personalization
9.8.3 Audience Segmentation & Targeting
9.8.4 Rights Management & Licensing
9.8.5 Trend Analysis & Popularity Prediction
9.8.6 User Engagement Analysis
9.9 Energy & Utilities
9.9.1 Need to Facilitate Intuitive Pathways for Complex Networks to Drive Market
Table 76 Energy & Utilities: Market, by Region, 2018-2022 (USD Million)
Table 77 Energy & Utilities: Market, by Region, 2023-2028 (USD Million)
9.9.2 Smart Grid Management
9.9.3 Demand-Side Management
9.9.4 Environmental Monitoring
9.9.5 Renewable Energy Integration & Optimization
9.10 Travel & Hospitality
9.10.1 Focus on Fostering Travel Plans for Better Customer Experiences to Drive Market Expansion
Table 78 Travel & Hospitality: Market, by Region, 2018-2022 (USD Million)
Table 79 Travel & Hospitality: Market, by Region, 2023-2028 (USD Million)
9.10.2 Customer Journey Mapping
9.10.3 Booking & Reservation Optimization
9.10.4 Staff & Resource Allocation
9.10.5 Tourism Planning & Promotion
9.11 Transportation & Logistics
9.11.1 Rising Need for Gaining Complete and Real-Time Visibility to Minimize Risks to Drive Market
Table 80 Transportation & Logistics: Market, by Region, 2018-2022 (USD Million)
Table 81 Transportation & Logistics: Market, by Region, 2023-2028 (USD Million)
9.11.2 Route Optimization & Fleet Management
9.11.3 Asset Tracking & Management
9.11.4 Risk Assessment & Mitigation
9.11.5 Supplier Collaboration & Performance Analysis
9.12 Other Verticals
Table 82 Other Verticals: Market, by Region, 2018-2022 (USD Million)
Table 83 Other Verticals: Market, by Region, 2023-2028 (USD Million)

10 Graph Database Market, by Region
10.1 Introduction
Figure 34 Asia-Pacific to Account for Highest CAGR During Forecast Period
Table 84 Market, by Region, 2018-2022 (USD Million)
Table 85 Market, by Region, 2023-2028 (USD Million)
10.2 North America
Figure 35 North America: Market Snapshot
10.2.1 North America: Market Drivers
10.2.2 North America: Recession Impact
10.2.3 North America: Market Regulations
10.2.3.1 The Personal Information Protection and Electronic Documents Act (Pipeda)
10.2.3.2 Gramm-Leach-Bliley (Glb) Act
10.2.3.3 Health Insurance Portability and Accountability (Hipaa) Act of 1996
10.2.3.4 Federal Information Security Management Act
10.2.3.5 Federal Information Processing Standards
10.2.3.6 California Consumer Privacy Act (Cspa)
Table 86 North America: Graph Database Market, by Offering, 2018-2022 (USD Million)
Table 87 North America: Market, by Offering, 2023-2028 (USD Million)
Table 88 North America: Market, by Service, 2018-2022 (USD Million)
Table 89 North America: Market, by Service, 2023-2028 (USD Million)
Table 90 North America: Market, by Professional Service, 2018-2022 (USD Million)
Table 91 North America: Market, by Professional Service, 2023-2028 (USD Million)
Table 92 North America: Market, by Solution Type, 2018-2022 (USD Million)
Table 93 North America: Market, by Solution Type, 2023-2028 (USD Million)
Table 94 North America: Market, by Solution Deployment Mode, 2018-2022 (USD Million)
Table 95 North America: Market, by Solution Deployment Mode, 2023-2028 (USD Million)
Table 96 North America: Market, by Analysis Type, 2018-2022 (USD Million)
Table 97 North America: Market, by Analysis Type, 2023-2028 (USD Million)
Table 98 North America: Market, by Model Type, 2018-2022 (USD Million)
Table 99 North America: Market, by Model Type, 2023-2028 (USD Million)
Table 100 North America: Market, by Vertical, 2018-2022 (USD Million)
Table 101 North America: Market, by Vertical, 2023-2028 (USD Million)
Table 102 North America: Market, by Country, 2018-2022 (USD Million)
Table 103 North America: Market, by Country, 2023-2028 (USD Million)
10.2.4 US
10.2.4.1 Rapid Adoption of Innovative Solutions, Government Initiatives, and Social Media Platforms to Drive Market
10.2.5 Canada
10.2.5.1 Need for Increased Investment and Real-Time Decision-Making to Drive Market
10.3 Europe
10.3.1 Europe: Market Drivers
10.3.2 Europe: Recession Impact
10.3.3 Europe: Market Regulations
10.3.3.1 General Data Protection Regulation (Gdpr)
10.3.3.2 European Committee for Standardization (Cen)
Table 104 Europe: Graph Database Market, by Offering, 2018-2022 (USD Million)
Table 105 Europe: Market, by Offering, 2023-2028 (USD Million)
Table 106 Europe: Market, by Service, 2018-2022 (USD Million)
Table 107 Europe: Market, by Service, 2023-2028 (USD Million)
Table 108 Europe: Market, by Professional Service, 2018-2022 (USD Million)
Table 109 Europe: Market, by Professional Service, 2023-2028 (USD Million)
Table 110 Europe: Market, by Solution Type, 2018-2022 (USD Million)
Table 111 Europe: Market, by Solution Type, 2023-2028 (USD Million)
Table 112 Europe: Market, by Deployment Mode, 2018-2022 (USD Million)
Table 113 Europe: Market, by Deployment Mode, 2023-2028 (USD Million)
Table 114 Europe: Market, by Analysis Type, 2018-2022 (USD Million)
Table 115 Europe: Market, by Analysis Type, 2023-2028 (USD Million)
Table 116 Europe: Market, by Model Type, 2018-2022 (USD Million)
Table 117 Europe: Market, by Model Type, 2023-2028 (USD Million)
Table 118 Europe: Market, by Vertical, 2018-2022 (USD Million)
Table 119 Europe: Market, by Vertical, 2023-2028 (USD Million)
Table 120 Europe: Market, by Country, 2018-2022 (USD Million)
Table 121 Europe: Graph Database Market, by Country, 2023-2028 (USD Million)
10.3.4 UK
10.3.4.1 Rising Adoption of Graph Database Solutions by Enterprises and Government to Boost Market
10.3.5 Germany
10.3.5.1 Adopting Initiatives for Technological Developments in Germany to Propel Market
10.3.6 France
10.3.6.1 Rising Demand for R&D Investments and Retail & Manufacturing to Boost Market
10.3.7 Italy
10.3.7.1 Need for Increased Collaboration Between Startups and Established Tech Companies to Drive Market
10.3.8 Spain
10.3.8.1 Rising Adoption of Data-Driven Decision-Making Techniques to Drive Market
10.3.9 Rest of Europe
10.4 Asia-Pacific
Figure 36 Asia-Pacific: Market Snapshot
10.4.1 Asia-Pacific: Market Drivers
10.4.2 Asia-Pacific: Recession Impact
10.4.3 Asia-Pacific: Market Regulations
10.4.3.1 Personal Data Protection Act (Pdpa)
10.4.3.2 International Organization for Standardization (Iso) 27001
Table 122 Asia-Pacific: Graph Database Market, by Offering, 2018-2022 (USD Million)
Table 123 Asia-Pacific: Market, by Offering, 2023-2028 (USD Million)
Table 124 Asia-Pacific: Market, by Service, 2018-2022 (USD Million)
Table 125 Asia-Pacific: Market, by Service, 2023-2028 (USD Million)
Table 126 Asia-Pacific: Market, by Professional Service, 2018-2022 (USD Million)
Table 127 Asia-Pacific: Market, by Professional Service, 2023-2028 (USD Million)
Table 128 Asia-Pacific: Market, by Solution Type, 2018-2022 (USD Million)
Table 129 Asia-Pacific: Market, by Solution Type, 2023-2028 (USD Million)
Table 130 Asia-Pacific: Market, by Deployment Mode, 2018-2022 (USD Million)
Table 131 Asia-Pacific: Market, by Deployment Mode, 2023-2028 (USD Million)
Table 132 Asia-Pacific: Market, by Analysis Type, 2018-2022 (USD Million)
Table 133 Asia-Pacific: Market, by Analysis Type, 2023-2028 (USD Million)
Table 134 Asia-Pacific: Market, by Model Type, 2018-2022 (USD Million)
Table 135 Asia-Pacific: Market, by Model Type, 2023-2028 (USD Million)
Table 136 Asia-Pacific: Market, by Vertical, 2018-2022 (USD Million)
Table 137 Asia-Pacific: Market, by Vertical, 2023-2028 (USD Million)
Table 138 Asia-Pacific: Market, by Country, 2018-2022 (USD Million)
Table 139 Asia-Pacific: Graph Database Market, by Country, 2023-2028 (USD Million)
10.4.4 China
10.4.4.1 Increasing Focus on Integrating Ai and Deep Learning Technologies to Drive Market Expansion
10.4.5 Japan
10.4.5.1 Rising Adoption of Technology to Boost Market
10.4.6 India
10.4.6.1 Need for Booming Ecommerce and Banking to Drive Market
10.4.7 South Korea
10.4.7.1 Adoption of Advanced Technologies to Drive Market
10.4.8 Australia & New Zealand
10.4.8.1 Growing Infrastructure Developments in Anz to Boost Market
10.4.9 Rest of Asia-Pacific
10.5 Middle East & Africa
10.5.1 Middle East & Africa: Market Drivers
10.5.2 Middle East & Africa: Recession Impact
10.5.3 Middle East & Africa: Market Regulations
10.5.3.1 Israeli Privacy Protection Regulations (Data Security), 5777-2017
10.5.3.2 Gdpr Applicability in Ksa
10.5.3.3 Protection of Personal Information Act (Popia)
Table 140 Middle East & Africa: Graph Database Market, by Offering, 2018-2022 (USD Million)
Table 141 Middle East & Africa: Market, by Offering, 2023-2028 (USD Million)
Table 142 Middle East & Africa: Market, by Service, 2018-2022 (USD Million)
Table 143 Middle East & Africa: Market, by Service, 2023-2028 (USD Million)
Table 144 Middle East & Africa: Market, by Professional Service, 2018-2022 (USD Million)
Table 145 Middle East & Africa: Market, by Professional Service, 2023-2028 (USD Million)
Table 146 Middle East & Africa: Market, by Solution Type, 2018-2022 (USD Million)
Table 147 Middle East & Africa: Market, by Solution Type, 2023-2028 (USD Million)
Table 148 Middle East & Africa: Market, by Deployment Mode, 2018-2022 (USD Million)
Table 149 Middle East & Africa: Market, by Deployment Mode, 2023-2028 (USD Million)
Table 150 Middle East & Africa: Market, by Analysis Type, 2018-2022 (USD Million)
Table 151 Middle East & Africa: Market, by Analysis Type, 2023-2028 (USD Million)
Table 152 Middle East & Africa: Market, by Model Type, 2018-2022 (USD Million)
Table 153 Middle East & Africa: Market, by Model Type, 2023-2028 (USD Million)
Table 154 Middle East & Africa: Market, by Vertical, 2018-2022 (USD Million)
Table 155 Middle East & Africa: Market, by Vertical, 2023-2028 (USD Million)
Table 156 Middle East & Africa: Market, by Country, 2018-2022 (USD Million)
Table 157 Middle East & Africa: Graph Database Market, by Country, 2023-2028 (USD Million)
10.5.4 UAE
10.5.4.1 Need for Analyzing Ai-Driven and Fraud Detection Relationships to Drive Market
10.5.5 Saudi Arabia
10.5.5.1 Rise of Big Data and Need for Real-Time Analytics to Contribute to Market Growth
10.5.6 Israel
10.5.6.1 Rapid Growth of Interconnected Data in Social Media, Ecommerce, and IoT to Boost Growth
10.5.7 South Africa
10.5.7.1 Rapid Adoption of Graph Databases as Transformative Tools to Drive Market Expansion
10.5.8 Rest of Middle East & Africa
10.6 Latin America
10.6.1 Latin America: Market Drivers
10.6.2 Latin America: Recession Impact
10.6.3 Latin America: Market Regulations
10.6.3.1 Brazil Data Protection Law
10.6.3.2 Argentina Personal Data Protection Law No. 25.326
Table 158 Latin America: Graph Database Market, by Offering, 2018-2022 (USD Million)
Table 159 Latin America: Market, by Offering, 2023-2028 (USD Million)
Table 160 Latin America: Market, by Service, 2018-2022 (USD Million)
Table 161 Latin America: Market, by Service, 2023-2028 (USD Million)
Table 162 Latin America: Market, by Professional Service, 2018-2022 (USD Million)
Table 163 Latin America: Market, by Professional Service, 2023-2028 (USD Million)
Table 164 Latin America: Market, by Solution Type, 2018-2022 (USD Million)
Table 165 Latin America: Market, by Solution Type, 2023-2028 (USD Million)
Table 166 Latin America: Market, by Deployment Mode, 2018-2022 (USD Million)
Table 167 Latin America: Market, by Deployment Mode, 2023-2028 (USD Million)
Table 168 Latin America: Market, by Analysis Type, 2018-2022 (USD Million)
Table 169 Latin America: Market, by Analysis Type, 2023-2028 (USD Million)
Table 170 Latin America: Market, by Model Type, 2018-2022 (USD Million)
Table 171 Latin America: Market, by Model Type, 2023-2028 (USD Million)
Table 172 Latin America: Market, by Vertical, 2018-2022 (USD Million)
Table 173 Latin America: Market, by Vertical, 2023-2028 (USD Million)
Table 174 Latin America: Market, by Country, 2018-2022 (USD Million)
Table 175 Latin America: Graph Database Market, by Country, 2023-2028 (USD Million)
10.6.4 Brazil
10.6.4.1 Rising Investments in Technology by Multinational Companies to Boost Adoption of Graph Database
10.6.5 Mexico
10.6.5.1 Adoption of Government Initiatives and Increase in Software & Services to Trigger Market Growth
10.6.6 Argentina
10.6.6.1 Surge in Empowering Businesses for Enhancing User Engagement to Drive Market Expansion
10.6.7 Rest of Latin America

11 Competitive Landscape
11.1 Overview
11.2 Strategies Adopted by Key Players
Table 176 Overview of Strategies Deployed by Key Players in Market
11.3 Historical Revenue Analysis of Key Players
Figure 37 Historical Revenue Analysis of Top Players, 2020-2022 (USD Million)
11.4 Market Share Analysis
Figure 38 Graph Database Market: Market Share Analysis
Table 177 Market: Degree of Competition
11.5 Graph Database Brand/Product Comparative Landscape
Table 178 Trending Graph Database Product/Brand Comparison
11.6 Company Evaluation Matrix for Key Players
11.6.1 Stars
11.6.2 Emerging Leaders
11.6.3 Pervasive Players
11.6.4 Participants
Figure 39 Company Evaluation Matrix for Key Players, 2022
11.7 Competitive Benchmarking
Table 179 Market: Competitive Benchmarking of Key Players
Table 180 Market: Detailed List of Startups/Smes
Table 181 Market: Competitive Benchmarking of Startups/Smes
11.8 Company Evaluation Matrix for Startups/Smes
11.8.1 Progressive Companies
11.8.2 Responsive Companies
11.8.3 Dynamic Companies
11.8.4 Starting Blocks
Figure 40 Company Evaluation Matrix for Startups/Smes, 2022
11.9 Competitive Scenario
11.9.1 Product Launches
Table 182 Product Launches, May 2019-May 2023
11.9.2 Deals
Table 183 Deals, January 2021- May 2023

12 Company Profiles
12.1 Introduction
(Business Overview, Products Offered, Recent Developments & Analyst's View)*
12.2 Key Players
12.2.1 Ibm
Table 184 Ibm: Business Overview
Figure 41 Ibm: Company Snapshot
Table 185 Ibm: Products/Solutions/Services Offered
Table 186 Ibm: Product Launches/Enhancements
Table 187 Ibm: Deals
12.2.2 Oracle
Table 188 Oracle: Business Overview
Figure 42 Oracle: Company Snapshot
Table 189 Oracle: Products/Solutions/Services Offered
Table 190 Oracle: Product Launches/Enhancements
Table 191 Oracle: Deals
12.2.3 Microsoft
Table 192 Microsoft: Business Overview
Figure 43 Microsoft: Company Snapshot
Table 193 Microsoft: Products/Solutions/Services Offered
Table 194 Microsoft: Product Launches/Enhancements
Table 195 Microsoft: Deals
12.2.4 Aws
Table 196 Aws: Business Overview
Figure 44 Aws: Company Snapshot
Table 197 Aws: Products/Solutions/Services Offered
Table 198 Aws: Product Launches/ Enhancements
Table 199 Aws: Deals
12.2.5 Sap
Table 200 Sap: Business Overview
Figure 45 Sap: Company Snapshot
Table 201 Sap: Products/Solutions/Services Offered
Table 202 Sap: Product Launches/Enhancements
Table 203 Sap: Deals
12.2.6 Neo4J
Table 204 Neo4J: Business Overview
Table 205 Neo4J: Solutions Offered
Table 206 Neo4J: Product Launches/Enhancements
Table 207 Neo4J: Deals
12.2.7 Tigergraph
Table 208 Tigergraph: Business Overview
Table 209 Tigergraph: Solutions Offered
Table 210 Tigergraph: Product Launches/Enhancements
Table 211 Tigergraph: Deals
Table 212 Tigergraph: Others
12.2.8 Stardog
Table 213 Stardog: Business Overview
Table 214 Stardog: Solutions Offered
Table 215 Stardog: Product Launches/Enhancements
Table 216 Stardog: Deals
12.2.9 Datastax
Table 217 Datastax: Business Overview
Table 218 Datastax: Solutions Offered
Table 219 Datastax: Product Launches/Enhancements
Table 220 Datastax: Deals
12.2.10 Hpe
Table 221 Hpe: Business Overview
Figure 46 Hpe: Company Snapshot
Table 222 Hpe: Solutions Offered
Table 223 Hpe: Product Launches/Enhancements
Table 224 Hpe: Deals
12.2.11 Franz Inc
Table 225 Franz Inc: Business Overview
Table 226 Franz Inc: Solutions Offered
Table 227 Franz Inc: Product Launches/Enhancements
Table 228 Franz Inc: Deals
12.2.12 Ontotext
Table 229 Ontotext: Business Overview
Table 230 Ontotext: Solutions Offered
Table 231 Ontotext: Product Launches/Enhancements
Table 232 Ontotext: Deals
12.2.13 Openlink Software
Table 233 Openlink Software: Business Overview
Table 234 Openlink Software: Solutions Offered
Table 235 Openlink Software: Product Launches/Enhancements
12.2.14 Dgraph Labs
Table 236 Dgraph Labs: Business Overview
Table 237 Dgraph Labs: Solutions Offered
Table 238 Dgraph Labs: Product Launches/Enhancements
Table 239 Dgraph Labs: Deals
12.2.15 Tibco
Table 240 Tibco: Business Overview
Table 241 Tibco: Solutions Offered
Table 242 Tibco: Product Launches/Enhancements
Table 243 Tibco: Deals
12.2.16 Teradata
Table 244 Teradata: Business Overview
Figure 47 Teradata: Company Snapshot
Table 245 Teradata: Solutions Offered
12.2.17 Redis Labs
Table 246 Redis Labs: Business Overview
Table 247 Redis Labs: Solutions Offered
Table 248 Redis Labs: Product Launches/Enhancements
Table 249 Redis Labs: Deals
*Details on Business Overview, Products Offered, Recent Developments & Analyst's View Might Not be Captured in Case of Unlisted Companies.
12.3 Other Key Players
12.3.1 Objectivity
12.3.2 Graphbase
12.3.3 Cambridge Semantics
12.3.4 Blazegraph
12.3.5 Eccenca GmbH
12.3.6 Bitnine
12.3.7 Arangodb
12.3.8 Fluree
12.3.9 Memgraph
12.3.10 Graph Story

13 Adjacent and Related Markets
13.1 Introduction
13.2 Cloud Database and Dbaas Market - Global Forecast to 2028
13.2.1 Market Definition
13.2.2 Market Overview
13.2.2.1 Cloud Database and Dbaas Market, by Component
Table 250 Cloud Database and Dbaas Market, by Component, 2018-2022 (USD Million)
Table 251 Cloud Database and Dbaas Market, by Component, 2023-2028 (USD Million)
Table 252 Cloud Database and Dbaas Market, by Service, 2018-2022 (USD Million)
Table 253 Cloud Database and Dbaas Market, by Service, 2023-2028 (USD Million)
13.2.2.2 Cloud Database and Dbaas Market, by Deployment Model
Table 254 Cloud Database and Dbaas Market, by Deployment Model, 2018-2022 (USD Million)
Table 255 Cloud Database and Dbaas Market, by Deployment Model, 2023-2028 (USD Million)
13.2.2.3 Cloud Database and Dbaas Market, by Organization Size
Table 256 Cloud Database and Dbaas Market, by Organization Size, 2018-2022 (USD Million)
Table 257 Cloud Database and Dbaas Market, by Organization Size, 2023-2028 (USD Million)
13.2.2.4 Cloud Database and Dbaas Market, by Vertical
Table 258 Cloud Database and Dbaas Market, by Vertical, 2018-2022 (USD Million)
Table 259 Cloud Database and Dbaas Market, by Vertical, 2023-2028 (USD Million)
13.2.2.5 Cloud Database and Dbaas Market, by Region
Table 260 Cloud Database and Dbaas Market, by Region, 2018-2022 (USD Million)
Table 261 Cloud Database and Dbaas Market, by Region, 2023-2028 (USD Million)
13.3 Graph Analytics Market - Global Forecast to 2024
13.3.1 Market Definition
13.3.2 Market Overview
13.3.2.1 Graph Analytics Market, by Component
Table 262 Graph Analytics Market, by Component, 2017-2024 (USD Million)
Table 263 Services: Graph Analytics Market, by Type, 2017-2024 (USD Million)
13.3.2.2 Graph Analytics Market, by Deployment Mode
Table 264 Graph Analytics Market, by Deployment Mode, 2017-2024 (USD Million)
13.3.2.3 Cloud Database and Dbaas Market, by Vertical
Table 265 Graph Analytics Market, by Vertical, 2017-2024 (USD Million)
13.3.2.4 Cloud Database and Dbaas Market, by Region
Table 266 Graph Analytics Market, by Region, 2017-2024 (USD Million)

14 Appendix
14.1 Discussion Guide
14.2 Knowledgestore: The Subscription Portal
14.3 Customization Options

Executive Summary

Companies Mentioned

  • Arangodb
  • Aws
  • Bitnine
  • Blazegraph
  • Cambridge Semantics
  • Datastax
  • Dgraph Labs
  • Eccenca GmbH
  • Fluree
  • Franz Inc
  • Graph Story
  • Graphbase
  • Hpe
  • Ibm
  • Memgraph
  • Microsoft
  • Neo4J
  • Objectivity
  • Ontotext
  • Openlink Software
  • Oracle
  • Redis Labs
  • Sap
  • Stardog
  • Teradata
  • Tibco
  • Tigergraph

Methodology

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Table Information

Report AttributeDetails
No. of Pages279
PublishedAugust 2023
Forecast Period2023 - 2028
Estimated Market Value ( USD ) in 2023 $ 2.9 Billion
Forecasted Market Value ( USD ) by 2028 $ 7.3 Billion
Compound Annual Growth Rate20.2%
Regions CoveredGlobal
No. of Companies Mentioned27

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About the Market

Graph databases are a type of data storage and management system that uses graph structures for semantic queries with nodes, edges, and properties to represent and store data. Graph databases are used to store and query data that is highly connected and interrelated, such as social networks, recommendation systems, and fraud detection. They are also used to store and query data that is constantly changing, such as real-time analytics. Graph databases are typically used in applications that require complex queries and analysis of data relationships. Graph databases are becoming increasingly popular due to their ability to store and query data quickly and efficiently. They are also becoming more widely used due to their ability to handle large amounts of data and their scalability. Some companies in the graph database market include Neo4j, Amazon Neptune, Microsoft Azure Cosmos DB, IBM Graph, and Oracle Database. Show Less Read more

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