Graph Database Market

Report Code TC 6341
Published in Jan, 2025, By MarketsandMarkets™
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Graph Database Market by Solutions (Graph Extension, Graph Processing Engines, Native Graph Database, Knowledge Graph Engines), Application (Data Governance and Master Data Management, Infrastructure and Asset Management) - Global Forecast to 2030

 

Overview

The graph database market is estimated to be worth USD 507.6 million in 2024 and is projected to reach USD 2,143.0 million by 2030 at a Compound Annual Growth Rate (CAGR) of 27.1%. Cloud drives growth of graph database technology by offering scalability, flexibility, and efficiency in cost translate to handling deep data relationships. The cloud-based graph databases offer simple deployment and easy scaling across workloads without having a massive hardware infrastructure. They use all cloud-native tools, including AI, ML, and advanced analytics, for more profound insights into relational data.

Graph Database Market

Attractive Opportunities in the Graph Database Market

NORTH AMERICA

Market growth in North America can be attributed to research grants in graph database technologies, especially in cybersecurity, healthcare, and smart cities.

Technological advancements, such as NLP, Gen AI, and Cloud Computing, are expected to revolutionize the graph database in BFSI & healthcare & life sciences sectors.

Agreements, collaborations, and partnerships are likely to be the key growth strategies adopted by market players in the next five years.

The need for advanced tools to detect threats and plan effective responses drives the government’s adoption of graph databases for analyzing interconnected data.

The North American graph database market is projected to grow from USD 164.8 million in 2024 to USD 658.9 million by 2030, at a CAGR of 26.0%.

Impact of AI on Graph Database Market

Generative AI has greatly impacted the graph database market by making it much easier to automatically generate and expand knowledge graphs, hence more dynamic and efficient. Gen AI models, especially using NLP and machine learning, can analyze large volumes of unstructured data, identify relationships, and create new connections within graph databases with minimal manual intervention. With this automation, the process time and effort of building up or updating knowledge graphs reduces, enhancing scalability and real-time capacity. It allows businesses to utilize far more accurate and current insight from graph databases, paving the way for widespread adoption among sectors such as finance, healthcare, and eCommerce, where the relationships involved are complex and rapidly shifting.

Graph Database Market Impact

Global Graph Database Market Dynamics

Driver: Growing demand for solutions to process low-latency queries

Graph database tools and services are increasingly being adopted, with some legacy database providers trying to layer graph database schemas on top of their existing relational database architectures. Although this might be a cost-effective approach, it often comes at the expense of query performance. For digital business initiatives, graph databases are revolutionizing traditional companies to handle connected data more efficiently. The challenge of storing huge volumes of interconnected data in systems not optimized for such purposes is a significant one. Instead of using complex batch processes in legacy relational databases, companies can use real-time recommendation systems built on graph databases, which are better suited for low-latency queries. These systems allow customers' past purchases to be queried instantaneously during an online session by matching historical and session data with performance far superior to traditional databases. Graph databases provide constant low latency through the use of nodes and links that directly connect related records. High throughput is obtained by splitting queries into concurrent sub-queries while still keeping fast response times, regardless of the database size. Graph databases also improve scalability, making them well-suited for applications requiring real-time insights and efficient handling of complex relationships as data volumes grow.

Restraint: High Implementation Costs

The graph database market is growing rapidly because it provides an exclusive capability of effectively managing and analyzing complex and interconnected data. However, its implementation cost is relatively high, a significant barrier to its widespread usage, especially by SMEs. Implementing a graph database generally requires significant upfront investment. This includes the cost of purchasing specialized hardware, acquiring licenses for software, and either hiring or training staff competent in graph technologies. To SMEs that operate with limited budgets, the financial requirements are high and thus deter them from implementing such advanced solutions even if they are useful to their business. The operational and maintenance costs of graph databases, including updates and scalability, are also included in the total cost. Additionally, the scarcity of easily available expertise in graph technology makes it even more difficult, given that organizations must either pay to train existing staff or hire experienced professionals. The financial and technical barriers prevent the increased adoption of graph databases especially in smaller businesses or industry where the budget is limited, slowing the rate at which the market penetrates across sectors despite its great transformative potential.

 

Opportunity: Data unification and rapid proliferation of knowledge graphs

The graph database market represents an opportunity to transform how customer activity, demographic data, and preferences are managed, leading to sprawling data silos and unscreened data hoarding. Legacy and modern applications often generate distributed and disparate datasets that are hard to integrate using traditional solutions. These traditional approaches are normally not adaptive to changing data requirements, and as such, they are not especially useful in generating actionable insights. This has led to data unification strategies, where graph databases can unify diverse datasets and mapping relationships without having to move or duplicate data. Knowledge graphs help organizations develop highly scalable and reusable assets, preserving every analysis for ongoing use, by creating a seamless layer over existing infrastructures. Graph databases store relationships with data natively, and it is far more efficient and perform better than expensive JOIN operations in the traditional database. Improved graph databases enriched with business rules that support inference make knowledge management easier, further simplifying innovation and strategic growth. Graph databases are the best solution to unify complex datasets in today's data-driven landscape, optimizing efficiency and addressing modern data integration challenges, which makes them a cornerstone of digital transformation and competitive advantage.

Challenge: Lack of technical expertise

Graph database tools and services simplify the visualization of large data volumes in real-time. The integration of solutions helps decision-makers by providing actionable insights to boost the overall performance of the systems. Graph database solutions can be customized to enable integration with tools and services, depending on the level and nature of the analysis. Today’s business and user requirements demand applications that connect more of the world’s data and expect high levels of performance and data reliability. Graph database engines require a different approach to application development, a custom storage model, and special query tools. Large enterprises and SMEs need professional services to customize a particular product’s capability to meet the customer’s requirement. Since the graph database concept is in its growing phase, the availability of skilled labor is limited, and this can restrain the market growth. Companies need to invest significantly in training and certifications for their workforce to effectively implement the insights received from large data volumes. As retail organizations scale up their performance, integrating data from various industry verticals across geographic locations becomes more necessary. The knowledge constraints and inadequate workforce skills may limit end users from adopting graph database software and associated services.

Global Graph Database Market Ecosystem Analysis

The prominent players in the graph database market include IBM Corporation (US), Oracle (US), Microsoft Corporation (US), AWS (US), Neo4j (US), RelationalAI (US), Progress Software (US), TigerGraph (US), Stardog (US), Datastax (US), Franz Inc (US), Ontotext (Bulgaria), Openlink Software (US), Dgraph Labs (US), Graphwise (US), Altair (US), Bitnine (South Korea), ArangoDB (US), Fluree (US), Blazegraph (US), Memgraph (UK), Objectivity (US), GraphBase (Australia), Graph Story (US), Oxford Semantics (UK), and FalkorDB (Israel). These companies have been operating in the market for several years and possess a diversified product portfolio, state-of-the-art technologies, and a well-established geographic footprint. These companies are rigorously working toward the research & development of graph database infrastructure.

Top Companies in Graph Database Market
 

The Data Analytics and Business Intelligence segment is expected to hold the largest market during the forecast period.

Graph databases are revolutionizing analytics and business intelligence by enabling businesses to analyze more complex relationships and extract actionable insights from highly interrelated data. As compared to traditional relational databases that rely on a table of rows and columns, a graph database relies on its node-and-edge structure, ideal for exploring connections, nodes, relationships or transaction networks. Their real-time query performance and schema flexibility enable organizations to adapt to changing business requirements while dealing with large and complex data sets. Their main applications include customer relationship management, where a business can draw the journey of its customers, segment its users based on behavior, and identify the influencers; fraud detection through real-time identification of concealed patterns and relationships; and recommendation engines, which will deliver personalized suggestions based on preferences and social connections. Graph databases strengthen supply chain management by identifying bottlenecks, dependencies analysis, and risk mitigation. The knowledge graph built on a graph database integrates multiple datasets, enabling semantic search and advanced reasoning for more valuable BI insights. As scalable tool, graph databases allow businesses to draw deeper insights, project opportunities, and gain a winning position in data-driven markets.

Healthcare, life sciences, and pharmaceuticals segment are expected to witness the fastest growth rate during the forecast period

Graph databases incorporate advanced data integration, analyses, and relationship mapping, thoroughly defining the important areas in healthcare, life sciences, and pharmaceutical verticals. These studies facilitate better association among and analyses of the diverse datasets on the patient, such as EHRs, genomic data, and medical imaging, for identifying patient-specific insights leading to better treatment outcomes. Graph databases help in the enhancement of life sciences research. Integrating graph databases for medicinal drug discovery accelerates preclinical studies by uncovering complex gene, protein, and disease relationships, reducing time and costs. Graph technology boosts clinical trial efficiency by identifying appropriate participants through criteria such as genetic markers, medical history, or demographic data. Graph databases are highly relevant to pharmacovigilance in pharmaceuticals and adverse drug reaction detection, which is based on real-world evidence from various other sources, such as social media, medical literature, and patient registries. Furthermore, it optimizes supply chain operations by modeling the very complex relationships between the suppliers to distributors and from them to the regulatory compliance requirements. By ensuring compliance with regulations like HIPAA and GDPR, graph databases support secure and ethical data usage.

North America is expected to hold the largest market share during the forecast period.

Graph databases are making a significant impact across North America, most notably in the US and Canada, by enabling advanced data integration and analysis across sectors. They underpin health developments in the US, such as the Pancreas KnowledgeBase (Pankbase), which brings genomic, imaging, and physiological data together to further diabetes research within FAIR (Findable, Accessible, Interoperable, Reusable) principles of making data discoverable and reusable. This structural effort fast-tracks progress in personalized medicine and health service delivery. For example, in Canada, the University of Waterloo uses graph databases to improve public interest projects by processing and making available complex historical and public datasets—from urban planning to conservation—with a rich understanding of the relationships between data. Such data enable inventions or applications that can range dramatically, from urban planning to environmental conservation. Other such applications include Neo4j's visual data solutions, which would also be part of strengthening data governance to comply with stringent consumer privacy laws such as those in Canada (Consumer Privacy Protection Act- CPPA). These tools ensure the secure handling of data and responsible use of data. Collectively, graph databases are driving innovation across various sectors while maintaining robust data governance and compliance standards in North America.

LARGEST MARKET SHARE IN 2024
CANADA FASTEST GROWING MARKET IN NORTH AMERICA
Graph Database Market by region

Recent Developments of Graph Database Market

  • In December 2024, DataStax and Wikimedia Deutschland partnered to leverage the DataStax AI Platform, built with NVIDIA AI, including NVIDIA NeMo Retriever and NIM microservices, to make Wikidata available to developers as an embedded vectorized database.
  • In June 2024, Neo4j partnered with Snowflake to introduce its fully integrated native graph data science solution within the Snowflake AI Data Cloud. This integration was intended to allow users to run over 65 graph algorithms instantly, eliminating the need to transfer data outside their Snowflake environment. It aimed to allow users to leverage advanced graph capabilities while utilizing the familiar SQL programming language, environment, and tools.
  • In May 2024, Ontotext partnered with Datavid to enhance the value of enterprise data through advanced knowledge graph technologies and semantic tools. This collaboration was expected to integrate Ontotext’s robust solutions, including GraphDB, a leading RDF database, into Datavid’s data enhancement services. By leveraging these technologies, Datavid aimed to deliver deeper insights and more effective data-driven solutions, enabling clients to unlock more excellent value from their data.
  • In April 2024, Altair acquired Cambridge Semantics, a provider of modern data fabric solutions and the creator of a prominent analytical graph database. Cambridge Semantics’ graph-powered data fabric technology was expected to streamline the development of enterprise knowledge graphs, enabling the seamless integration of complex structured and unstructured data into a unified, simplified view.

Key Market Players

List of Top Graph Database Market Companies

The Graph Database Market is dominated by a few major players that have a wide regional presence. The major players in the Graph Database Market are

  • IBM Corporation (US)
  • Oracle (US)
  • Microsoft Corporation (US)
  • AWS (US)
  • Neo4j (US)
  • RelationAI (US)
  • Progress Software (US)
  • TigerGraph (US)
  • Stardog (US)
  • Datastax (US)
  • Franz Inc (US)
  • Ontotext (Bulgaria)
  • Openlink Software (US)
  • Dgraph Labs (US)
  • Graphwise (US)
  • Altair (US)
  • Bitnine ( South Korea)
  • ArangoDB (US)
  • Fluree (US)
  • Blazegraph (US)
  • Memgraph (UK)
  • Objectivity (US)
  • GraphBase (Australia)
  • Graph Story (US)
  • Oxford Semantics (UK)
  • FalkorDB (Israel)

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Scope of the Report

Report Attribute Details
Market size available for years 2019–2030
Base year considered 2024
Forecast period 2024–2030
Forecast units USD Billion
Segments Covered By offering {Solutions [by Type (Graph Extension, Graph Processing Engines, Native Graph Database, Knowledge Graph Engines), by Deployment Mode (Cloud, On-premises)] and Services [Professional Services (Consulting Services, Deployment & Integration Services, Support & Maintenance Services), Managed Services]}, by Model Type [Resource Description Framework, Property Graph [Labeled property graph (LPG), Typed Property Graph], by Application (Data Governance and Master Data Management, Data Analytics & Business Intelligence, Knowledge & Content Management, Virtual Assistants, Self-service Data & Digital Asset Discovery, Product & Configuration Management, Infrastructure & Asset Management, Process Optimization & Resource Management, Risk Management, Compliance, Regulatory Reporting, Market & Customer Intelligence, Sales Optimization, Other Applications), by Vertical [Banking, Financial Services, and Insurance (BFSI); Retail and eCommerce; Healthcare, Life Sciences, and Pharmaceuticals; Telecom & Technology; Government; Manufacturing & Automotive; Media & Entertainment; Energy, Utilities, and Infrastructure; Travel & Hospitality; Transportation & Logistics; Other Verticals]
Regions covered North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

 

Key Questions Addressed by the Report

What are the opportunities in the Graph Database market?
The various opportunities in the graph database market include data unification and the rapid proliferation of knowledge graphs, the provision of semantic knowledgeable graphs to address complex scientific research, and the emphasis on the emergence of open knowledge networks.
What is the definition of the graph database market?
A graph database is a type of database designed to store, manage, and query data that is represented as nodes, edges, and properties. It focuses on the relationships between data points, making it ideal for applications that require analysis of complex, interconnected data. In a graph database, nodes represent entities (such as people, places, or products), edges represent the relationships between these entities, and properties provide additional information about nodes and edges. This structure allows for efficient querying of relationships, patterns, and connections, particularly useful in social networks, fraud detection, recommendation systems, data governance and master data management, data analytics and business intelligence, knowledge and content management, and supply chain management.
Which region is expected to have the largest market share in the graph database market?
North America region is expected to acquire the largest share of the graph database market during the forecast period.
What is the market size of the graph database market?
The graph database market is estimated to be worth USD 507.6 million in 2024 and is projected to reach USD 2,143.0 million by 2030, at a CAGR of 27.1% during the same period.
Who are the key players operating in the Graph Database market?
The key market players profiled in the graph database market are IBM Corporation (US), Oracle (US), Microsoft Corporation (US), AWS (US), Neo4j (US), RelationaAI (US), Progress Software (US), TigerGraph (US), Stardog (US), Datastax (US), Franz Inc (US), Ontotext (Bulgaria), Openlink Software (US), Dgraph Labs (US), Graphwise (US), Altair (US), Bitnine (South Korea) ArangoDB (US), Fluree (US), Blazegraph (US), Memgraph (UK), Objectivity (US), GraphBase (Australia), Graph Story (US), Oxford Semantics (UK), and FalkorDB (Israel).
What are the key technology trends prevailing in the graph database market?
The key technology trends in the graph database market include semantic web technologies, gen AI and NLP, and Graph RAG.

 

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Table of Contents

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TITLE
PAGE NO
INTRODUCTION
42
RESEARCH METHODOLOGY
47
EXECUTIVE SUMMARY
57
PREMIUM INSIGHTS
59
MARKET OVERVIEW AND INDUSTRY TRENDS
63
  • 5.1 MARKET DYNAMICS
    DRIVERS
    - Increasing Gen AI applications
    - Surging need for incorporating real-time big data mining with result visualization
    - Rising demand for solutions that can process low-latency queries
    - Rapid use of virtualization for big data analytics
    - Growing demand for semantic search across unstructured content
    RESTRAINTS
    - Lack of standardization and programming ease
    - Rapid proliferation of data management technologies
    - High implementation costs
    OPPORTUNITIES
    - Data unification and rapid proliferation of knowledge graphs
    - Provision of semantic knowledgeable graphs to address complex-scientific research
    - Emphasis on emergence of open knowledge networks
    CHALLENGES
    - Lack of technical expertise
    - Difficulty in demonstrating benefits of knowledge graphs in single application or use case
  • 5.2 BEST PRACTICES IN GRAPH DATABASE MARKET
    VALIDATION OF USE CASES
    AVOIDANCE OF INEFFICIENT TRAVERSAL PATTERNS
    USAGE OF DATA MODELING
    ENSURING DATA CONSISTENCY
    PARTITIONING OF COSMOS DB
    FOSTERING TEAM EXPERTISE IN GRAPH DATABASE
  • 5.3 EVOLUTION OF GRAPH DATABASE MARKET
  • 5.4 ECOSYSTEM ANALYSIS
  • 5.5 CASE STUDY ANALYSIS
    NEO4J-POWERED KNOWLEDGE GRAPH HELPED INTUIT PROVIDE REAL-TIME INSIGHTS AND FACILITATE SWIFT RESPONSES TO SECURITY THREATS
    WESTJET IMPROVED ITS CUSTOMER BOOKING EXPERIENCE BY INTEGRATING NEO4J'S GRAPH TECHNOLOGY
    NEWDAY IMPROVED FRAUD DETECTION CAPABILITIES WITH TIGERGRAPH CLOUD
    CYBER RESILIENCE LEADER LEVERAGED TIGERGRAPH TO ELEVATE ITS NEXT-GENERATION CLOUD-BASED CYBERSECURITY SERVICES
    XBOX CHOSE TIGERGRAPH TO EMPOWER ITS GRAPH ANALYTICS CAPABILITIES
    DGRAPH'S CUTTING-EDGE DATABASE SOLUTION ENABLED MOONCAMP TO STREAMLINE ITS BACKEND OPERATIONS
    NEO4J’S GRAPH DATABASE AND APPLICATION PLATFORM HELPED KERBEROS CONTROL COMPLEX LEGAL OBLIGATIONS
    BLAZEGRAPH HELPED YAHOO7 DRIVE NATIVE REAL-TIME ADVERTISING USING GRAPH QUERIES
    NEO4J ENABLED ICU’S TEAM TO VISUALIZE AND ANALYZE CONNECTIONS BETWEEN ELEMENTS OF PANAMA PAPERS LEAKS
    NEO4J’S GRAPH TECHNOLOGY HELPED U.S. ARMY BY TRACKING AND ANALYZING EQUIPMENT MAINTENANCE
    JAGUAR LAND ROVER ACHIEVED REDUCED INVENTORY COSTS AND HIGHER PROFITABILITY USING TIGERGRAPH’S SOLUTION
    MACY'S REDUCED CATALOG DATA REFRESH TIME BY SIX-FOLD
    METAPHACTS AND ONTOTEXT ENABLED GLOBAL PHARMA COMPANY TO BOOST R&D KNOWLEDGE DISCOVERY
  • 5.6 SUPPLY CHAIN ANALYSIS
  • 5.7 INVESTMENT AND FUNDING SCENARIO
  • 5.8 IMPACT OF GENERATIVE AI ON GRAPH DATABASE MARKET
    USE CASES OF GENERATIVE AI IN GRAPH DATABASE
    - Neo4j LLM Knowledge Graph Builder enabled users to extract nodes and relationships from unstructured text
    - Data²’s flagship analytics platform, reView, delivered powerful insights by integrating customer data into Neo4j-backed knowledge graph
    - JPMorgan leveraged LLMs to detect fraudulent activities
    - Mastercard leveraged GenAI capabilities to strengthen its fraud detection system
  • 5.9 TECHNOLOGY ROADMAP OF GRAPH DATABASE MARKET
  • 5.10 REGULATORY LANDSCAPE
    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    KEY REGULATIONS
    - North America
    - Europe
    - Asia Pacific
    - Middle East & Africa
    - Latin America
  • 5.11 PATENT ANALYSIS
    METHODOLOGY
    LIST OF MAJOR PATENTS
  • 5.12 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - Semantic Web
    - Generative AI and natural language processing
    - Graph RAG
    COMPLEMENTARY TECHNOLOGIES
    - Cloud computing
    - AI and ML
    - Big data & analytics
    - Graph neural networks
    - Vector databases and full-text search engines
    - Multimodal databases
    ADJACENT TECHNOLOGIES
    - Digital twin
    - IoT
    - Blockchain
    - Edge computing
  • 5.13 PRICING ANALYSIS
    AVERAGE SELLING PRICE OF KEY PLAYERS, BY COUNTRY, 2023
    INDICATIVE PRICING ANALYSIS, BY KEY PLAYER, 2023
  • 5.14 KEY CONFERENCES AND EVENTS, 2024–2025
  • 5.15 PORTER’S FIVE FORCES ANALYSIS
    THREAT OF NEW ENTRANTS
    THREAT OF SUBSTITUTES
    BARGAINING POWER OF SUPPLIERS
    BARGAINING POWER OF BUYERS
    INTENSITY OF COMPETITIVE RIVALRY
  • 5.16 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.17 KEY STAKEHOLDERS AND BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
GRAPH DATABASE MARKET, BY OFFERING
113
  • 6.1 INTRODUCTION
    OFFERING: MARKET DRIVERS
  • 6.2 SOLUTIONS
    INCREASING NEED FOR ENHANCING PRODUCTIVITY AND MAINTAINING BUSINESS CONTINUITY TO DRIVE MARKET
    BY SOLUTION TYPE
    - Graph extensions
    - Graph processing engines
    - Native graph database
    - Knowledge graph engines
    BY DEPLOYMENT MODE
    - Cloud
    - On-premises
  • 6.3 SERVICES
    MANAGED SERVICES
    - Specialized skills for maintaining and updating graph database solutions to drive market
    PROFESSIONAL SERVICES
    - Consulting services
    - Deployment & integration services
    - Support & maintenance services
GRAPH DATABASE MARKET, BY MODEL TYPE
130
  • 7.1 INTRODUCTION
    MODEL TYPE: MARKET DRIVERS
  • 7.2 RESOURCE DESCRIPTION FRAMEWORK
    NEED FOR INTELLIGENT DATA MANAGEMENT SOLUTIONS TO DRIVE DEMAND FOR GRAPH DATABASE
  • 7.3 PROPERTY GRAPH
    INCREASING URGE TO FIND RELATIONSHIPS AMONG NUMEROUS ENTITIES TO BOOST MARKET
    - Labeled property graph
    - Typed property graph
GRAPH DATABASE MARKET, BY APPLICATION
135
  • 8.1 INTRODUCTION
    APPLICATION: MARKET DRIVERS
  • 8.2 DATA GOVERNANCE & MASTER DATA MANAGEMENT
    NEED FOR MANAGING, INTEGRATING, AND SECURING COMPLEX DATA RELATIONSHIPS TO DRIVE MARKET
  • 8.3 DATA ANALYTICS & BUSINESS INTELLIGENCE
    SUPERIOR QUERY PERFORMANCE FOR COMPLEX OPERATIONS TO BOOST MARKET
  • 8.4 KNOWLEDGE & CONTENT MANAGEMENT
    INTUITIVE AND DYNAMIC WAY OF ORGANIZING, CONNECTING, AND RETRIEVING INFORMATION TO FUEL MARKET GROWTH
  • 8.5 VIRTUAL ASSISTANTS, SELF-SERVICE DATA, AND DIGITAL ASSET DISCOVERY
    PERSONALIZED, INTELLIGENT, AND CONTEXT-AWARE INTERACTIONS TO SUPPORT MARKET GROWTH
  • 8.6 PRODUCT & CONFIGURATION MANAGEMENT
    VISIBILITY INTO INTERDEPENDENCIES ACROSS TEAMS TO ENSURE TRACEABILITY AND BETTER DECISION-MAKING
  • 8.7 INFRASTRUCTURE & ASSET MANAGEMENT
    MODELING AND ANALYSIS OF INTRICATE RELATIONSHIPS BETWEEN ASSETS TO DRIVE MARKET
  • 8.8 PROCESS OPTIMIZATION & RESOURCE MANAGEMENT
    OPTIMIZE PROCESS BY ANALYZING COMPLEX, INTERCONNECTED DATA THROUGH GRAPH DATA SCIENCE
  • 8.9 RISK MANAGEMENT, COMPLIANCE, AND REGULATORY REPORTING
    IDENTIFICATION AND ASSESSMENT OF RISKS BY VISUALIZING CONNECTIONS TO BOOST MARKET
  • 8.10 MARKET & CUSTOMER INTELLIGENCE AND SALES OPTIMIZATION
    GRAPH DATABASES TO IMPROVE SALES EFFECTIVENESS AND CUSTOMER ENGAGEMENT
  • 8.11 OTHER APPLICATIONS
GRAPH DATABASE MARKET, BY VERTICAL
149
  • 9.1 INTRODUCTION
    VERTICAL: MARKET DRIVERS
  • 9.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
    GROWING ADOPTION OF FINANCIAL STANDARDS AND COMPLIANCE WITH REGULATIONS TO DRIVE MARKET
    CASE STUDY
    - Fraud detection & risk management
    - Anti-money laundering
    - Identity & access management
    - Risk management
    - Data integration & governance
    - Know Your Customer (KYC) process
    - Operational resilience for bank IT systems
    - Regulatory compliance
    - Customer 360° view
    - Market analysis & trend detection
    - Policy impact analysis
    - Self-service data and digital asset discovery
    - Customer support
  • 9.3 RETAIL & ECOMMERCE
    INCREASING NEED FOR IDENTIFYING CUSTOMER BEHAVIOR IN REAL-TIME TO DRIVE MARKET
    CASE STUDY
    - Fraud detection in eCommerce
    - Dynamic pricing optimization
    - Personalized product recommendations
    - Market basket analysis
    - Customer experience enhancement
    - Churn Prediction & Prevention
    - Social media influence on buying behavior
    - Product Configuration & Recommendation
    - Customer Segmentation & Targeting
    - Customer 360° View
    - Review & reputation management
    - Customer Support
  • 9.4 TELECOM & TECHNOLOGY
    SURGING DEMAND FOR IMPROVED SERVICES TO DRIVE MARKET
    CASE STUDY
    - Network optimization & management
    - Data integration & governance
    - IT asset management
    - Network security analysis
    - IoT device management & connectivity
    - Self-service data & digital asset discovery
    - Identity & access management
    - Metadata enrichment
    - Service incident management
  • 9.5 HEALTHCARE, LIFE SCIENCES, AND PHARMACEUTICALS
    NEED FOR IMPROVED PATIENT-CENTRIC EXPERIENCE AND REAL-TIME TREATMENT TO DRIVE MARKET
    CASE STUDY
    - Drug discovery & development
    - Clinical trial management
    - Medical claims processing
    - Clinical intelligence
    - Healthcare network provider analysis
    - Customer support
    - Patient journey & care pathway analysis
    - Self-service data & digital asset discovery
  • 9.6 GOVERNMENT & PUBLIC SECTOR
    RISING NEED FOR ENHANCED DATA SECURITY AND ADVANCED INTELLIGENCE TO DRIVE MARKET
    CASE STUDY
    - Government service optimization
    - Legislative & regulatory analysis
    - Crisis management& disaster response planning
    - Environmental impact analysis & ESG
    - Social network analysis for security and law enforcement
    - Policy impact analysis
    - Knowledge management
    - Data integration & governance
  • 9.7 MANUFACTURING & AUTOMOTIVE
    GROWING NEED FOR EXTENDING FACTORY EQUIPMENT LIFESPAN AND REDUCING PRODUCTION RISK DELAYS TO BOOST GROWTH
    CASE STUDY
    - Equipment management & predictive maintenance
    - Product lifecycle management
    - Manufacturing process optimization
    - Enhanced vehicle safety and reliability
    - Optimization of industrial processes
    - Root cause analysis
    - Inventory management & demand forecasting
    - Service incident management
    - Staff & resource allocation
    - Product configuration & recommendation
  • 9.8 MEDIA & ENTERTAINMENT
    DEMAND FOR MODELING-USER PREFERENCES AND CONTENT INTERACTIONS TO FOSTER MARKET GROWTH
    CASE STUDY
    - Content recommendation & personalization
    - Social media influence analysis
    - Content recommendation system
    - User engagement analysis
    - Copyright and licensing management
    - Knowledge management
    - Audience segmentation and targeting
    - Self-service data and digital asset discovery
  • 9.9 ENERGY & UTILITIES
    SURGING DEMAND FOR DECREASING OPERATIONAL RISKS AND COSTS TO DRIVE MARKET
    CASE STUDY
    - Smart grid management
    - Energy trading optimization
    - Renewable energy integration & optimization
    - Public Infrastructure Management
    - Customer Engagement And Billing
    - Service incident management
    - Environmental impact analysis and ESG
    - Railway asset management
    - Staff and resource allocation
  • 9.10 TRAVEL & HOSPITALITY
    FOCUS ON FOSTERING TRAVEL PLANS FOR BETTER CUSTOMER EXPERIENCES TO DRIVE MARKET EXPANSION
    CASE STUDY
    - Personalized travel recommendations
    - Dynamic pricing optimization
    - Customer journey mapping
    - Booking and reservation management
    - Customer experience management
    - Product configuration and recommendation
  • 9.11 TRANSPORTATION & LOGISTICS
    RISING NEED FOR GAINING COMPLETE AND REAL-TIME VISIBILITY TO DRIVE MARKET
    TRANSPORT FOR LONDON (TFL) REDUCED CONGESTION BY 10% USING DIGITAL TWIN POWERED BY NEO4J
    USE CASES
    - Route optimization and fleet management
    - Supply chain management
    - Asset tracking and management
    - Equipment maintenance and predictive maintenance
    - Supply chain management
    - Vendor and supplier analysis
    - Operational efficiency & decision-making
  • 9.12 OTHER VERTICALS
GRAPH DATABASE MARKET, BY REGION
204
  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    NORTH AMERICA: MACROECONOMIC OUTLOOK
    US
    - Increasing use of graph databases in medical science and political campaigns to foster market growth
    CANADA
    - Stringent data regulation and extensive applications of graph databases in research to drive growth
  • 10.3 EUROPE
    EUROPE: MACROECONOMIC OUTLOOK
    UK
    - Government initiatives and healthcare-focused projects to drive market growth
    ITALY
    - Increasing use of graph databases in financial sector to accelerate market growth
    GERMANY
    - Increasing focus on enhancing interoperability to boost market
    FRANCE
    - Graph databases to drive innovation, enabling data-driven decision-making across key industries
    SPAIN
    - Government initiatives and geographical research to bolster market growth
    REST OF EUROPE
  • 10.4 ASIA PACIFIC
    ASIA PACIFIC: MACROECONOMIC OUTLOOK
    CHINA
    - Major players and use of graph databases in telecom fueling market growth
    INDIA
    - Increasing focus on digital transformation to support market growth
    JAPAN
    - Integration of knowledge graphs with generative AI to fuel market growth
    AUSTRALIA & NEW ZEALAND
    - Strategic initiatives and presence of major players to drive adoption of graph databases
    SOUTH KOREA
    - Increasing applications of graph databases in fraud detection, network analysis, and AI-powered innovations to aid market growth
    REST OF ASIA PACIFIC
  • 10.5 MIDDLE EAST & AFRICA
    MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
    MIDDLE EAST
    - KSA
    - UAE
    - Qatar
    - Turkey
    - Rest of Middle East
    AFRICA
    - Strategic investments in cloud and AI technologies to drive adoption of graph databases
  • 10.6 LATIN AMERICA
    LATIN AMERICA: MACROECONOMIC OUTLOOK
    BRAZIL
    - Growing adoption of graph databases across industries and key collaborative initiatives to drive market
    ARGENTINA
    - Advancements in cloud infrastructure and AI to further enable scalable deployment of graph databases
    MEXICO
    - Increasing investments in cloud infrastructure to accelerate adoption of graph databases
    REST OF LATIN AMERICA
COMPETITIVE LANDSCAPE
282
  • 11.1 INTRODUCTION
  • 11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
  • 11.3 MARKET SHARE ANALYSIS, 2024
    MARKET RANKING ANALYSIS
  • 11.4 REVENUE ANALYSIS, 2019–2023
  • 11.5 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2024
    - Company footprint
    - Offering footprint
    - Model type footprint
    - Application footprint
    - Vertical footprint
    - Region footprint
  • 11.6 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    - Detailed list of key startups/SMEs
    - Competitive benchmarking of key startups/SMEs
  • 11.7 COMPETITIVE SCENARIO
    PRODUCT LAUNCHES AND ENHANCEMENTS
    DEALS
  • 11.8 BRAND COMPARISON
  • 11.9 COMPANY VALUATION AND FINANCIAL METRICS
COMPANY PROFILES
303
  • 12.1 KEY PLAYERS
    NEO4J
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    AMAZON WEB SERVICES, INC
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    TIGERGRAPH
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    RELATIONALAI
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    GRAPHWISE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    IBM CORPORATION
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    MICROSOFT CORPORATION, INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    ONTOTEXT
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    STAR DOG
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    ALTAIR
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    ORACLE CORPORATION
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    PROGRESS SOFTWARE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    FRANZ INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    DATASTAX
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    DGRAPH LABS
    OPENLINK SOFTWARE
  • 12.2 STARTUPS/SMES
    OXFORD SEMANTIC TECHNOLOGIES
    BITNINE
    ARANGODB
    FLUREE
    BLAZEGRAPH
    MEMGRAPH
    OBJECTIVITY INC
    GRAPHBASE
    GRAPH STORY
    FALKORDB
ADJACENT AND RELATED MARKETS
351
  • 13.1 INTRODUCTION
  • 13.2 MARKET DEFINITION
  • 13.3 CLOUD DATABASE AND DBAAS MARKET
    MARKET DEFINITION
    MARKET OVERVIEW
    - Cloud database and DBaaS market, by component
    - Cloud database and DBaaS market, by deployment model
    - Cloud database and DBaaS market, by organization size
    - Cloud database and DBaaS market, by vertical
    - Cloud database and DBaaS market, by region
  • 13.4 VECTOR DATABASE MARKET
    MARKET DEFINITION
    VECTOR DATABASE MARKET, BY OFFERING
    VECTOR DATABASE MARKET, BY TECHNOLOGY
    VECTOR DATABASE MARKET, BY VERTICAL
    VECTOR DATABASE MARKET, BY REGION
APPENDIX
360
  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 14.3 CUSTOMIZATION OPTIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS
LIST OF TABLES
 
  • TABLE 1 USD EXCHANGE RATE, 2021–2023
  • TABLE 2 PRIMARY INTERVIEWS WITH EXPERTS
  • TABLE 3 RISK ASSESSMENT
  • TABLE 4 GRAPH DATABASE MARKET: ECOSYSTEM
  • TABLE 5 TECHNOLOGY ROADMAP OF GRAPH DATABASE MARKET, 2024–2030
  • TABLE 6 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 7 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 8 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 9 REST OF THE WORLD: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 10 GRAPH DATABASE MARKET: KEY PATENTS, 2014–2022
  • TABLE 11 AVERAGE SELLING PRICES OF GRAPH DATABASE SOLUTIONS, BY REGION, 2023
  • TABLE 12 INDICATIVE PRICING ANALYSIS OF KEY PLAYERS, 2023 (USD)
  • TABLE 13 GRAPH DATABASE MARKET: CONFERENCES AND EVENTS, 2024–2025
  • TABLE 14 IMPACT OF PORTER’S FIVE FORCES ON MARKET
  • TABLE 15 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
  • TABLE 16 KEY BUYING CRITERIA FOR TOP THREE INDUSTRIES
  • TABLE 17 GRAPH DATABASE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 18 MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 19 MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 20 GRAPH DATABASE MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 21 SOLUTIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 22 SOLUTIONS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 23 GRAPH EXTENSIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 24 GRAPH EXTENSIONS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 25 GRAPH PROCESSING ENGINES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 26 GRAPH PROCESSING ENGINES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 27 NATIVE GRAPH DATABASE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 28 NATIVE GRAPH DATABASE: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 29 KNOWLEDGE GRAPH ENGINES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 30 KNOWLEDGE GRAPH ENGINES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 31 MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 32 GRAPH DATABASE MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 33 CLOUD: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 34 CLOUD: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 35 ON-PREMISES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 36 ON-PREMISES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 37 MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 38 GRAPH DATABASE MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 39 SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 40 SERVICES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 41 MANAGED SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 42 MANAGED SERVICES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 43 PROFESSIONAL SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 44 PROFESSIONAL SERVICES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 45 MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 46 GRAPH DATABASE MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 47 CONSULTING SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 48 CONSULTING SERVICES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 49 DEPLOYMENT & INTEGRATION SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 50 DEPLOYMENT & INTEGRATION SERVICES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 51 SUPPORT & MAINTENANCE SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 52 SUPPORT & MAINTENANCE SERVICES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 53 MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 54 GRAPH DATABASE MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 55 RESOURCE DESCRIPTION FRAMEWORK: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 56 RESOURCE DESCRIPTION FRAMEWORK: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 57 PROPERTY GRAPH: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 58 PROPERTY GRAPH: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 59 MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 60 GRAPH DATABASE MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 61 DATA GOVERNANCE & MASTER DATA MANAGEMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 62 DATA GOVERNANCE & MASTER DATA MANAGEMENT: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 63 DATA ANALYTICS & BUSINESS INTELLIGENCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 64 DATA ANALYTICS & BUSINESS INTELLIGENCE: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 65 KNOWLEDGE & CONTENT MANAGEMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 66 KNOWLEDGE & CONTENT MANAGEMENT: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 67 VIRTUAL ASSISTANTS, SELF-SERVICE DATA, AND DIGITAL ASSET DISCOVERY: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 68 VIRTUAL ASSISTANTS, SELF-SERVICE DATA, AND DIGITAL ASSET DISCOVERY: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 69 PRODUCT & CONFIGURATION MANAGEMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 70 PRODUCT & CONFIGURATION MANAGEMENT: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 71 INFRASTRUCTURE & ASSET MANAGEMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 72 INFRASTRUCTURE & ASSET MANAGEMENT: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 73 PROCESS OPTIMIZATION & RESOURCE MANAGEMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 74 PROCESS OPTIMIZATION & RESOURCE MANAGEMENT: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 75 RISK MANAGEMENT, COMPLIANCE, AND REGULATORY REPORTING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 76 RISK MANAGEMENT, COMPLIANCE, AND REGULATORY REPORTING: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 77 MARKET & CUSTOMER INTELLIGENCE AND SALES OPTIMIZATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 78 MARKET & CUSTOMER INTELLIGENCE AND SALES OPTIMIZATION: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 79 OTHER APPLICATIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 80 OTHER APPLICATIONS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 81 GRAPH DATABASE MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 82 MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 83 BANKING, FINANCIAL SERVICES, AND INSURANCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 84 BANKING, FINANCIAL SERVICES, AND INSURANCE: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 85 RETAIL & ECOMMERCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 86 RETAIL & ECOMMERCE: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 87 TELECOM & TECHNOLOGY: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 88 TELECOM & IT: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 89 HEALTHCARE, LIFESCIENCES, AND PHARMACEUTICALS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 90 HEALTHCARE, LIFESCIENCES, AND PHARMACEUTICALS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 91 GOVERNMENT & PUBLIC SECTOR: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 92 GOVERNMENT & PUBLIC SECTOR: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 93 MANUFACTURING & AUTOMOTIVE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 94 MANUFACTURING & AUTOMOTIVE: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 95 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 96 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 97 ENERGY & UTILITIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 98 ENERGY & UTILITIES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 99 TRAVEL & HOSPITALITY: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 100 TRAVEL & HOSPITALITY: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 101 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 102 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 103 OTHER VERTICALS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 104 OTHER VERTICALS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 105 GRAPH DATABASE MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 106 MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 107 NORTH AMERICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 108 NORTH AMERICA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 109 NORTH AMERICA: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 110 NORTH AMERICA: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 111 NORTH AMERICA: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 112 NORTH AMERICA: GRAPH DATABASE MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 113 NORTH AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 114 NORTH AMERICA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 115 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 116 NORTH AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 117 NORTH AMERICA: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 118 NORTH AMERICA: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 119 NORTH AMERICA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 120 NORTH AMERICA: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 121 NORTH AMERICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 122 NORTH AMERICA: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 123 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 124 NORTH AMERICA: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 125 US: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 126 US: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 127 US: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 128 US: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 129 US: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 130 US: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 131 US: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 132 US: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 133 US: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 134 US: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 135 US: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 136 US: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 137 US: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 138 US: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 139 US: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 140 US: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 141 EUROPE: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 142 EUROPE: GRAPH DATABASE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 143 EUROPE: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 144 EUROPE: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 145 EUROPE: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 146 EUROPE: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 147 EUROPE: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 148 EUROPE: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 149 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 150 EUROPE: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 151 EUROPE: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 152 EUROPE: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 153 EUROPE: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 154 EUROPE: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 155 EUROPE: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 156 EUROPE: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 157 EUROPE: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 158 EUROPE: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 159 UK: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 160 UK: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 161 UK: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 162 UK: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 163 UK: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 164 UK: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 165 UK: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 166 UK: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 167 UK: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 168 UK: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 169 UK: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 170 UK: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 171 UK: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 172 UK: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 173 UK: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 174 UK: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 175 ITALY: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 176 ITALY: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 177 ITALY: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 178 ITALY: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 179 ITALY: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 180 ITALY: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 181 ITALY: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 182 ITALY: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 183 ITALY: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 184 ITALY: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 185 ITALY: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 186 ITALY: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 187 ITALY: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 188 ITALY: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 189 ITALY: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 190 ITALY: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 191 ASIA PACIFIC: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 192 ASIA PACIFIC: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 193 ASIA PACIFIC: GRAPH DATABASE MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 194 ASIA PACIFIC: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 195 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 196 ASIA PACIFIC: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 197 ASIA PACIFIC: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 198 ASIA PACIFIC: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 199 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 200 ASIA PACIFIC: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 201 ASIA PACIFIC: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 202 ASIA PACIFIC: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 203 ASIA PACIFIC: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 204 ASIA PACIFIC: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 205 ASIA PACIFIC: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 206 ASIA PACIFIC: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 207 ASIA PACIFIC: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 208 ASIA PACIFIC: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 209 CHINA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 210 CHINA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 211 CHINA: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 212 CHINA: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 213 CHINA: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 214 CHINA: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 215 CHINA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 216 CHINA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 217 CHINA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 218 CHINA: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 219 CHINA: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 220 CHINA: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 221 CHINA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 222 CHINA: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 223 CHINA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 224 CHINA: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 225 INDIA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 226 INDIA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 227 INDIA: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 228 INDIA: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 229 INDIA: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 230 INDIA: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 231 INDIA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 232 INDIA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 233 INDIA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 234 INDIA: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 235 INDIA: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 236 INDIA: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 237 INDIA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 238 INDIA: MARKET, BY APPLICATIONS, 2024–2030 (USD MILLION)
  • TABLE 239 INDIA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 240 INDIA: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 241 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 242 MIDDLE EAST & AFRICA: GRAPH DATABASE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 243 MIDDLE EAST & AFRICA: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 244 MIDDLE EAST & AFRICA: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 245 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 246 MIDDLE EAST & AFRICA: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 247 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 248 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 249 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 250 MIDDLE EAST & AFRICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 251 MIDDLE EAST & AFRICA: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 252 MIDDLE EAST & AFRICA: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 253 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 254 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 255 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 256 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 257 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 258 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 259 MIDDLE EAST: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 260 MIDDLE EAST: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 261 KSA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 262 KSA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 263 KSA: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 264 KSA: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 265 KSA: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 266 KSA: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 267 KSA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 268 KSA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 269 KSA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 270 KSA: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 271 KSA: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 272 KSA: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 273 KSA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 274 KSA: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 275 KSA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 276 KSA: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 277 LATIN AMERICA: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 278 LATIN AMERICA: GRAPH DATABASE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 279 LATIN AMERICA: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 280 LATIN AMERICA: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 281 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 282 LATIN AMERICA: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 283 LATIN AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 284 LATIN AMERICA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 285 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 286 LATIN AMERICA: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 287 LATIN AMERICA: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 288 LATIN AMERICA: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 289 LATIN AMERICA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 290 LATIN AMERICA: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 291 LATIN AMERICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 292 LATIN AMERICA: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 293 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 294 LATIN AMERICA: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 295 BRAZIL: MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 296 BRAZIL: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 297 BRAZIL: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 298 BRAZIL: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 299 BRAZIL: MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 300 BRAZIL: MARKET, BY DEPLOYMENT MODE, 2024–2030 (USD MILLION)
  • TABLE 301 BRAZIL: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 302 BRAZIL: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 303 BRAZIL: MARKET, BY PROFESSIONAL SERVICE, 2019–2023 (USD MILLION)
  • TABLE 304 BRAZIL: MARKET, BY PROFESSIONAL SERVICE, 2024–2030 (USD MILLION)
  • TABLE 305 BRAZIL: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 306 BRAZIL: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 307 BRAZIL: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 308 BRAZIL: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 309 BRAZIL: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 310 BRAZIL: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 311 OVERVIEW OF STRATEGIES DEPLOYED BY KEY MARKET PLAYERS, 2021–2024
  • TABLE 312 GRAPH DATABASE MARKET: DEGREE OF COMPETITION
  • TABLE 313 MARKET: OFFERING FOOTPRINT
  • TABLE 314 GRAPH DATABASE MARKET: MODEL TYPE FOOTPRINT
  • TABLE 315 MARKET: APPLICATION FOOTPRINT
  • TABLE 316 GRAPH DATABASE MARKET: VERTICAL FOOTPRINT
  • TABLE 317 MARKET: REGION FOOTPRINT
  • TABLE 318 GRAPH DATABASE MARKET: LIST OF KEY STARTUPS/SMES
  • TABLE 319 COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
  • TABLE 320 GRAPH DATABASE: PRODUCT LAUNCHES AND ENHANCEMENTS, SEPTEMBER 2022–OCTOBER 2024
  • TABLE 321 GRAPH DATABASE MARKET: DEALS, JANUARY 2023–NOVEMBER 2024
  • TABLE 322 NEO4J: COMPANY OVERVIEW
  • TABLE 323 NEO4J: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 324 NEO4J: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 325 NEO4J: DEALS
  • TABLE 326 AMAZON WEB SERVICES: COMPANY OVERVIEW
  • TABLE 327 AMAZON WEB SERVICES: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 328 AMAZON WEB SERVICES: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 329 AMAZON WEB SERVICES: DEALS
  • TABLE 330 TIGERGRAPH: COMPANY OVERVIEW
  • TABLE 331 TIGERGRAPH: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 332 TIGERGRAPH: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 333 TIGERGRAPH: DEALS
  • TABLE 334 RELATIONALAI: COMPANY OVERVIEW
  • TABLE 335 RELATIONALAI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 336 RELATIONALAI: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 337 GRAPHWISE: COMPANY OVERVIEW
  • TABLE 338 GRAPHWISE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 339 GRAPHWISE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 340 IBM: COMPANY OVERVIEW
  • TABLE 341 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 342 IBM: DEALS
  • TABLE 343 MICROSOFT: COMPANY OVERVIEW
  • TABLE 344 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 345 MICROSOFT: DEALS
  • TABLE 346 ONTOTEXT: COMPANY OVERVIEW
  • TABLE 347 ONTOTEXT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 348 ONTOTEXT: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 349 ONTOTEXT: DEALS
  • TABLE 350 STARDOG: COMPANY OVERVIEW
  • TABLE 351 STARDOG: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 352 STARDOG: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 353 STARDOG: DEALS
  • TABLE 354 ALTAIR: COMPANY OVERVIEW
  • TABLE 355 ALTAIR: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 356 ALTAIR: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 357 ALTAIR: DEALS
  • TABLE 358 ORACLE: COMPANY OVERVIEW
  • TABLE 359 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 360 ORACLE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 361 PROGRESS SOFTWARE: COMPANY OVERVIEW
  • TABLE 362 PROGRESS SOFTWARE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 363 PROGRESS SOFTWARE: DEALS
  • TABLE 364 FRANZ INC: COMPANY OVERVIEW
  • TABLE 365 FRANZ INC: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 366 FRANZ INC.: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 367 DATASTAX: COMPANY OVERVIEW
  • TABLE 368 DATASTAX: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 369 DATASTAX: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 370 DATASTAX: DEALS
  • TABLE 371 CLOUD DATABASE AND DBAAS MARKET, BY COMPONENT, 2018–2022 (USD MILLION)
  • TABLE 372 CLOUD DATABASE AND DBAAS MARKET, BY COMPONENT, 2023–2028 (USD MILLION)
  • TABLE 373 CLOUD DATABASE AND DBAAS MARKET, BY SERVICE, 2018–2022 (USD MILLION)
  • TABLE 374 CLOUD DATABASE AND DBAAS MARKET, BY SERVICE, 2023–2028 (USD MILLION)
  • TABLE 375 CLOUD DATABASE AND DBAAS MARKET, BY DEPLOYMENT MODEL, 2018–2022 (USD MILLION)
  • TABLE 376 CLOUD DATABASE AND DBAAS MARKET, BY DEPLOYMENT MODEL, 2023–2028 (USD MILLION)
  • TABLE 377 CLOUD DATABASE AND DBAAS MARKET, BY ORGANIZATION SIZE, 2018–2022 (USD MILLION)
  • TABLE 378 CLOUD DATABASE AND DBAAS MARKET, BY ORGANIZATION SIZE, 2023–2028 (USD MILLION)
  • TABLE 379 CLOUD DATABASE AND DBAAS MARKET, BY VERTICAL, 2018–2022 (USD MILLION)
  • TABLE 380 CLOUD DATABASE AND DBAAS MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
  • TABLE 381 CLOUD DATABASE AND DBAAS MARKET, BY REGION, 2018–2022 (USD MILLION)
  • TABLE 382 VECTOR DATABASE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
  • TABLE 383 VECTOR DATABASE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
  • TABLE 384 VECTOR DATABASE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
  • TABLE 385 VECTOR DATABASE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
  • TABLE 386 VECTOR DATABASE MARKET, BY VERTICAL, 2019–2022 (USD MILLION)
  • TABLE 387 VECTOR DATABASE MARKET, BY REGION, 2019–2022 (USD MILLION)
  • TABLE 388 VECTOR DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION)
  • TABLE 389 VECTOR DATABASE MARKET, BY VERTICAL, 2023–2028 (USD MILLION)
LIST OF FIGURES
 
  • FIGURE 1 GRAPH DATABASE MARKET: RESEARCH DESIGN
  • FIGURE 2 KEY DATA FROM SECONDARY SOURCES
  • FIGURE 3 TOP-DOWN APPROACH
  • FIGURE 4 APPROACH 1 (SUPPLY SIDE): REVENUE OF VENDORS IN GRAPH DATABASE MARKET
  • FIGURE 5 BOTTOM-UP APPROACH
  • FIGURE 6 DEMAND-SIDE ANALYSIS
  • FIGURE 7 BOTTOM-UP (SUPPLY SIDE) ANALYSIS: COLLECTIVE REVENUE FROM SOLUTIONS/SERVICES OF EMOTION AI MARKET
  • FIGURE 8 DATA TRIANGULATION
  • FIGURE 9 GRAPH DATABASE MARKET, 2024–2030 (USD MILLION)
  • FIGURE 10 GRAPH DATABASE MARKET, BY REGION (2024)
  • FIGURE 11 INCREASING RELIANCE ON REAL-TIME ANALYTICS FOR CRITICAL DECISION-MAKING ACROSS INDUSTRIES TO DRIVE MARKET
  • FIGURE 12 SOLUTIONS SEGMENT TO DOMINATE MARKET DURING FORECAST PERIOD
  • FIGURE 13 MANAGED SERVICES SEGMENT TO ACCOUNT FOR HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 14 DEPLOYMENT & INTEGRATION SERVICES SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD
  • FIGURE 15 DATA GOVERNANCE & MASTER DATA MANAGEMENT SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE DURING FORECAST PERIOD
  • FIGURE 16 PROPERTY GRAPH TO ACCOUNT FOR LARGER MARKET SHARE DURING FORECAST PERIOD
  • FIGURE 17 BFSI SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE DURING FORECAST PERIOD
  • FIGURE 18 SOLUTIONS & PROPERTY GRAPH SEGMENTS TO ACCOUNT FOR SIGNIFICANT MARKET SHARES IN 2024
  • FIGURE 19 GRAPH DATABASE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 20 EVOLUTION OF GRAPH DATABASE MARKET
  • FIGURE 21 GRAPH DATABASE MARKET: ECOSYSTEM ANALYSIS
  • FIGURE 22 GRAPH DATABASE MARKET: SUPPLY CHAIN ANALYSIS
  • FIGURE 23 GRAPH DATABASE MARKET: INVESTMENT AND FUNDING SCENARIO, 2020–2024 (USD MILLION)
  • FIGURE 24 USE CASES OF GENERATIVE AI IN GRAPH DATABASE MARKET
  • FIGURE 25 LIST OF MAJOR PATENTS FOR GRAPH DATABASE MARKET (2014–2024)
  • FIGURE 26 AVERAGE SELLING PRICE OF KEY PLAYERS, BY COUNTRY, 2023
  • FIGURE 27 MARKET: PORTER’S FIVE FORCES ANALYSIS
  • FIGURE 28 GRAPH DATABASE MARKET: TRENDS/DISRUPTIONS INFLUENCING CUSTOMER BUSINESS
  • FIGURE 29 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
  • FIGURE 30 KEY BUYING CRITERIA FOR TOP THREE INDUSTRIES
  • FIGURE 31 SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 32 KNOWLEDGE GRAPH ENGINES SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 33 MANAGED SERVICES TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 34 SUPPORT & MAINTENANCE SERVICES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 35 RESOURCE DESCRIPTION FRAMEWORK SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 36 VIRTUAL ASSISTANTS, SELF-SERVICE DATA, AND DIGITAL ASSET DISCOVERY TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 37 BFSI TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD
  • FIGURE 38 NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 39 ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 40 SHARE ANALYSIS OF LEADING COMPANIES IN MARKET, 2024
  • FIGURE 41 MARKET RANKING ANALYSIS OF TOP FIVE PLAYERS
  • FIGURE 42 REVENUE ANALYSIS OF KEY PLAYERS IN GRAPH DATABASE MARKET, 2019–2023 (USD MILLION)
  • FIGURE 43 MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2024
  • FIGURE 44 GRAPH DATABASE MARKET: COMPANY FOOTPRINT
  • FIGURE 45 GRAPH DATABASE MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2024
  • FIGURE 46 BRAND COMPARISON
  • FIGURE 47 COMPANY VALUATION
  • FIGURE 48 FINANCIAL METRICS
  • FIGURE 49 AMAZON WEB SERVICES: COMPANY SNAPSHOT
  • FIGURE 50 IBM: COMPANY SNAPSHOT
  • FIGURE 51 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 52 ALTAIR: COMPANY SNAPSHOT
  • FIGURE 53 ORACLE: COMPANY SNAPSHOT
  • FIGURE 54 PROGRESS SOFTWARE: COMPANY SNAPSHOT

 

This research study involved the extensive use of secondary sources, directories, and databases, such as Dun & Bradstreet (D&B) Hoovers and Bloomberg BusinessWeek, to identify and collect valuable information for a technical, market-oriented, and commercial study of the Graph Database market. The primary sources have been mainly industry experts from the core and related industries and preferred suppliers, manufacturers, distributors, service providers, technology developers, alliances, and organizations related to all segments of the value chain of this market. In-depth interviews have been conducted with various primary respondents, including key industry participants, subject matter experts, C-level executives of key market players, and industry consultants, to obtain and verify critical qualitative and quantitative information.

Secondary Research

The market for companies offering Graph Database solutions and services to different end users has been estimated and projected based on the secondary data made available through paid and unpaid sources and by analyzing their product portfolios in the ecosystem of the Graph Database market. In the secondary research process, various sources such as JAX Magazine and Government Transformation Magazines were referred to to identify and collect information for this study on the market. The secondary sources included annual reports, press releases, investor presentations of companies, white papers, journals, certified publications, and articles by recognized authors, directories, and databases. Secondary research has been mainly used to obtain essential information about the supply chain of the market, the total pool of key players, market classification, segmentation according to industry trends to the bottommost level, regional markets, and key developments from both market- and technology-oriented perspectives that primary sources have further validated.

Primary Research

In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development, marketing, and product development/innovation teams; related critical executives from Graph Database solutions vendors, System Integrators, professional service providers, and industry associations; and key opinion leaders. Primary interviews were conducted to gather insights, such as market statistics, revenue data collected from services, market breakups, market size estimations, market forecasts, and data triangulation. Primary research also helped me understand various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using Graph Database services, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of Graph Database services which would impact the overall Graph Database market.

Graph Database Market Size, and Share

Note: Others include sales managers, marketing managers, and product managers.

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Multiple approaches were adopted to estimate and forecast the size of the Graph Database market. The first approach involves estimating market size by summing up the revenue generated by companies through the sale of Graph Database solutions and services.

Both top-down and bottom-up approaches were used to estimate and validate the total size of the Graph Database market. These methods were extensively used to estimate the size of various segments in the market. The research methodology used to estimate the market size includes the following:

  • Key players in the market have been identified through extensive secondary research.
  • In terms of value, the industry’s supply chain and market size have been determined through primary and secondary research processes.
  • All percentage shares, splits, and breakups have been determined using secondary sources and verified through primary sources.
  • After arriving at the overall market size, the Graph Database market was divided into several segments and subsegments.

Graph Database Market : Top-Down and Bottom-Up Approach

Graph Database Market Top Down and Bottom Up Approach

Data Triangulation

After arriving at the overall market size, the Graph Database market was divided into several segments and subsegments. The data was triangulated by studying various factors and trends from the demand and supply sides. Along with data triangulation and market breakdown, the market size was validated by the top-down and bottom-up approaches.

Market Definition

A graph database is designed to store, query, and manage data in the form of nodes, edges, and properties. Nodes represent entities, edges capture relationships between them, and properties provide additional details. This structure enables efficient analysis of complex, interconnected data. It is widely used in social networks, recommendation systems, data governance and master data management, data analytics and business intelligence, and knowledge and content management.

Stakeholders

  • Solution Providers
  • Technology Vendors
  • Enterprise Buyers
  • System Integrators
  • Consulting Firms and Sis
  • Open-Source Communities
  • Regulatory Bodies
  • Industry Alliances

Report Objectives

  • To determine, segment, and forecast the Graph Database market based on offering, model type, application, verticals, and region in terms of value
  • To forecast the segment’s size with respect to five regions: North America, Europe, Asia Pacific (Asia Pacific), Latin America, and the Middle East & Africa (Middle East & Africa)
  • To provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the market
  • To study the complete value chain and related industry segments and perform a value chain analysis
  • To strategically analyze macro and micro-markets concerning individual growth trends, prospects, and contributions to the market
  • To analyze industry trends, regulatory landscape, and patents & innovations
  • To analyze opportunities for stakeholders by identifying the high growth segments
  • To track and analyze competitive developments, such as agreements, partnerships, collaborations, and R&D activities

Available Customizations

With the given market data, MarketsandMarkets offers customizations per the company’s specific needs. The following customization options are available for the report:

Country-wise information

  • Analysis for additional countries (up to five)

Company Information

  • Detailed analysis and profiling of additional market players (up to 5)

 

Previous Versions of this Report

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 - Global Forecast to 2028

Report Code TC 6341
Published in Aug, 2023, By MarketsandMarkets™

Graph Database Market with COVID-19 Impact Analysis, By Type (RDF and LPG), Application (Fraud Detection and Prevention, and Recommendation Engine), Component (Software and Services), Deployment Mode, Vertical, and Region - Global Forecast to 2026

Report Code TC 6341
Published in Jul, 2021, By MarketsandMarkets™

Graph Database Market by Type (RDF and Property Graph), Application (Recommendation Engines, Fraud Detection, Risk and Compliance Management), Component (Tools and Services), Deployment Mode, Industry Vertical, and Region - Global Forecast to 2024

Report Code TC 6341
Published in Sep, 2019, By MarketsandMarkets™

Graph Database Market by Type (RDF and Property Graph), Application (Recommendation Engines, Fraud Detection, Risk and Compliance Management), Component (Tools and Services), Deployment Mode, Industry Vertical, and Region - Global Forecast to 2024

Report Code TC 6341
Published in Jun, 2018, By MarketsandMarkets™
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Growth opportunities and latent adjacency in Graph Database Market

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