Knowledge Graph Market by Solution (Enterprise Knowledge Graph Platform, Graph Database Engine, Knowledge Management Toolset), Model Type (Resource Description Framework (RDF) Triple Stores, Labeled Property Graph) - Global Forecast to 2030

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 YEARS CONSIDERED
• 1.4 CURRENCY CONSIDERED
• 1.5 STAKEHOLDERS
• 1.6 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY

• 2.1 RESEARCH DATA
  • 2.1.1 SECONDARY DATA
    • 2.1.1.1 Key data from secondary sources
  • 2.1.2 PRIMARY DATA
    • 2.1.2.1 Primary interviews with experts
    • 2.1.2.2 Breakdown of primary interviews
    • 2.1.2.3 Key insights from industry experts
• 2.2 MARKET SIZE ESTIMATION
  • 2.2.1 TOP-DOWN APPROACH
    • 2.2.1.1 Supply-side analysis
  • 2.2.2 BOTTOM-UP APPROACH
    • 2.2.2.1 Demand-side analysis
• 2.3 DATA TRIANGULATION
• 2.4 RESEARCH ASSUMPTIONS
• 2.5 RESEARCH LIMITATIONS
• 2.6 RISK ASSESSMENT

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

• 4.1 ATTRACTIVE OPPORTUNITIES FOR KEY PLAYERS IN KNOWLEDGE GRAPH MARKET
• 4.2 KNOWLEDGE GRAPH MARKET, BY OFFERING
• 4.3 KNOWLEDGE GRAPH MARKET, BY SERVICE
• 4.4 KNOWLEDGE GRAPH MARKET, BY MODEL TYPE
• 4.5 KNOWLEDGE GRAPH MARKET, BY APPLICATION 60
• 4.6 KNOWLEDGE GRAPH MARKET, BY VERTICAL
• 4.7 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, SOLUTIONS AND SERVICES

5 MARKET OVERVIEW AND INDUSTRY TRENDS

• 5.1 INTRODUCTION
• 5.2 MARKET DYNAMICS
  • 5.2.1 DRIVERS
    • 5.2.1.1 Rising demand for AI/generative AI solutions
    • 5.2.1.2 Rapid growth in data volume and complexity
    • 5.2.1.3 Growing demand for semantic search
  • 5.2.2 RESTRAINTS
    • 5.2.2.1 Data quality and integration challenges
    • 5.2.2.2 Navigation of saturated data management tool landscape
    • 5.2.2.3 Scalability issues
  • 5.2.3 OPPORTUNITIES
    • 5.2.3.1 Leveraging LLMs to reduce knowledge graph construction costs
    • 5.2.3.2 Data unification and rapid proliferation of knowledge graphs
    • 5.2.3.3 Increasing adoption in healthcare and life sciences to revolutionize data management and enhance patient outcomes
  • 5.2.4 CHALLENGES
    • 5.2.4.1 Lack of expertise and awareness
    • 5.2.4.2 Standardization and interoperability
    • 5.2.4.3 Difficulty in demonstrating full value of knowledge graphs through single use cases
• 5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 5.4 PRICING ANALYSIS
  • 5.4.1 PRICE TREND OF KEY PLAYERS, BY SOLUTION
  • 5.4.2 INDICATIVE PRICING ANALYSIS OF KEY PLAYERS
• 5.5 SUPPLY CHAIN ANALYSIS
• 5.6 ECOSYSTEM
• 5.7 TECHNOLOGY ANALYSIS
  • 5.7.1 KEY TECHNOLOGIES
    • 5.7.1.1 Graph Databases (GDB)
    • 5.7.1.2 Semantic web technologies
    • 5.7.1.3 Generative AI and Natural Language Processing (NLP)
    • 5.7.1.4 GraphRAG
  • 5.7.2 COMPLEMENTARY TECHNOLOGIES
    • 5.7.2.1 Artificial Intelligence (AI) and Machine Learning (ML)
    • 5.7.2.2 Big data
    • 5.7.2.3 Graph Neural Networks (GNNS)
    • 5.7.2.4 Cloud computing
    • 5.7.2.5 Vector databases and Full-Text Search Engines (FTS)
    • 5.7.2.6 Multi-model databases
  • 5.7.3 ADJACENT TECHNOLOGIES
    • 5.7.3.1 Digital twin
    • 5.7.3.2 Internet of Things (IoT)
    • 5.7.3.3 Blockchain
    • 5.7.3.4 Edge computing
• 5.8 PATENT ANALYSIS
  • 5.8.1 METHODOLOGY
    • 5.8.1.1 List of major patents
• 5.9 KEY CONFERENCES AND EVENTS, 2024-2025
• 5.10 REGULATORY LANDSCAPE
  • 5.10.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.10.2 KEY REGULATIONS
    • 5.10.2.1 North America
      • 5.10.2.1.1 SCR 17: Artificial Intelligence Bill (California)
      • 5.10.2.1.2 S1103: Artificial Intelligence Automated Decision Bill (Connecticut)
      • 5.10.2.1.3 National Artificial Intelligence Initiative Act (NAIIA)
      • 5.10.2.1.4 The Artificial Intelligence and Data Act (AIDA) - Canada
    • 5.10.2.2 Europe
      • 5.10.2.2.1 The European Union (EU) - Artificial Intelligence Act (AIA)
      • 5.10.2.2.2 EU Data Governance Act
      • 5.10.2.2.3 General Data Protection Regulation (Europe)
    • 5.10.2.3 Asia Pacific
      • 5.10.2.3.1 Interim Administrative Measures for Generative Artificial Intelligence Services (China)
      • 5.10.2.3.2 The National AI Strategy (Singapore)
      • 5.10.2.3.3 The Hiroshima AI Process Comprehensive Policy Framework (Japan)
    • 5.10.2.4 Middle East & Africa
      • 5.10.2.4.1 The National Strategy for Artificial Intelligence (UAE)
      • 5.10.2.4.2 The National Artificial Intelligence Strategy (Qatar)
      • 5.10.2.4.3 The AI Ethics Principles and Guidelines (Dubai)
    • 5.10.2.5 Latin America
      • 5.10.2.5.1 The Santiago Declaration (Chile)
      • 5.10.2.5.2 The Brazilian Artificial Intelligence Strategy (EBIA)
• 5.11 PORTER'S FIVE FORCES ANALYSIS
  • 5.11.1 THREAT OF NEW ENTRANTS
  • 5.11.2 THREAT OF SUBSTITUTES
  • 5.11.3 BARGAINING POWER OF BUYERS
  • 5.11.4 BARGAINING POWER OF SUPPLIERS
  • 5.11.5 INTENSITY OF COMPETITIVE RIVALRY 92
• 5.12 KEY STAKEHOLDERS & BUYING CRITERIA
  • 5.12.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 5.12.2 BUYING CRITERIA
• 5.13 BRIEF HISTORY OF KNOWLEDGE GRAPH
• 5.14 STEPS TO BUILD KNOWLEDGE GRAPH
  • 5.14.1 DEFINE OBJECTIVES
  • 5.14.2 ENGAGE STAKEHOLDERS
  • 5.14.3 IDENTIFY KNOWLEDGE DOMAIN
  • 5.14.4 GATHER AND ANALYZE DATA
  • 5.14.5 CLEAN AND PREPROCESS DATA
  • 5.14.6 CREATE SEMANTIC DATA MODEL
  • 5.14.7 SCHEMA DEFINITION
  • 5.14.8 DATA INTEGRATION
  • 5.14.9 HARMONIZATION OF DATA
  • 5.14.10 BUILD KNOWLEDGE GRAPH
  • 5.14.11 AUGMENT GRAPH
  • 5.14.12 TESTING AND VALIDATION
  • 5.14.13 MAXIMIZE USABILITY
  • 5.14.14 CONTINUOUS MAINTENANCE AND EVOLUTION
• 5.15 IMPACT OF AI/GENERATIVE AI ON KNOWLEDGE GRAPH MARKET
  • 5.15.1 USE CASES OF GENERATIVE KNOWLEDGE GRAPH
• 5.16 INVESTMENT AND FUNDING SCENARIO
• 5.17 CASE STUDY ANALYSIS
  • 5.17.1 TRANSMISSION SYSTEM OPERATOR LEVERAGED ONTOTEXT'S SOLUTIONS TO MODERNIZE ASSET MANAGEMENT
  • 5.17.2 BOSTON SCIENTIFIC STREAMLINED MEDICAL SUPPLY CHAIN USING NEO4J'S GRAPH DATA SCIENCE SOLUTION
  • 5.17.3 NATIONAL RETAIL CHAIN FROM UK ENHANCED OPERATIONAL EFFICIENCY USING TIGERGRAPHS'S SOLUTION
  • 5.17.4 SCHNEIDER ELECTRIC USED STARDOG TO LEAD SMART BUILDING TRANSFORMATION
  • 5.17.5 MEDIA ORGANIZATION USED PROGRESS SEMAPHORE TO CLASSIFY CONTENT FOR BETTER AUDIENCE ENGAGEMENT
  • 5.17.6 YAHOO7 REPRESENTED CONTENT WITHIN KNOWLEDGE GRAPH WITH ASSISTANCE OF BLAZEGRAPH
  • 5.17.7 DATABASE GROUP HELPED SPRINGERMATERIALS ACCELERATE RESEARCH WITH SEMANTIC SEARCH
  • 5.17.8 RFS OPTIMIZED ITS GLOBAL PRODUCT AND INVENTORY MANAGEMENT BY USING ECCENCA'S SOLUTION 104

6 KNOWLEDGE GRAPH MARKET, BY OFFERING

• 6.1 INTRODUCTION
  • 6.1.1 OFFERINGS: KNOWLEDGE GRAPH MARKET DRIVERS
• 6.2 SOLUTIONS
  • 6.2.1 SPIKE IN DEMAND FOR SOPHISTICATED DATA MANAGEMENT AND ANALYSIS TO DRIVE MARKET
  • 6.2.2 ENTERPRISE KNOWLEDGE GRAPH PLATFORM
    • 6.2.2.1 Need to improve discovery of data, promote better decision-making, and enable real-time insights using semantic technologies to propel market
  • 6.2.3 GRAPH DATABASE ENGINE
    • 6.2.3.1 Features like parallel query execution and AI-driven insights in graph database engines to accelerate market growth
  • 6.2.4 KNOWLEDGE MANAGEMENT TOOLSET
    • 6.2.4.1 Knowledge management toolsets to enhance operational efficiency by enabling seamless access to organizational knowledge
• 6.3 SERVICES
  • 6.3.1 PROFESSIONAL SERVICES
  • 6.3.2 MANAGED SERVICES

7 KNOWLEDGE GRAPH MARKET, BY MODEL TYPE

• 7.1 INTRODUCTION
  • 7.1.1 MODEL TYPES: KNOWLEDGE GRAPH MARKET DRIVERS
• 7.2 RESOURCE DESCRIPTION FRAMEWORK (RDF) TRIPLE STORES
  • 7.2.1 RDF-BASED KNOWLEDGE GRAPHS TO FACILITATE APPLICATIONS REQUIRING SEMANTIC INTEROPERABILITY
• 7.3 LABELED PROPERTY GRAPH (LPG)
  • 7.3.1 LOGICAL INFERENCE, KNOWLEDGE DISCOVERY, AND STRUCTURED REPRESENTATION OF DATA TO BOOST MARKET GROWTH

8 KNOWLEDGE GRAPH MARKET, BY APPLICATION

• 8.1 INTRODUCTION
  • 8.1.1 APPLICATIONS: KNOWLEDGE GRAPH MARKET DRIVERS
• 8.2 DATA GOVERNANCE AND MASTER DATA MANAGEMENT
  • 8.2.1 NEED FOR ENHANCED SEARCH FUNCTIONALITIES TO BOLSTER MARKET GROWTH
• 8.3 DATA ANALYTICS & BUSINESS INTELLIGENCE
  • 8.3.1 INTEGRATION OF KNOWLEDGE FROM SEVERAL DISCIPLINES AND OFFERING PERSONALIZED RECOMMENDATIONS TO BOOST MARKET GROWTH
• 8.4 KNOWLEDGE & CONTENT MANAGEMENT
  • 8.4.1 WIDESPREAD KNOWLEDGE OF INTRICATE IDEAS THROUGH CROSS-DOMAIN INFORMATION INTEGRATION TO BOOST MARKET
• 8.5 VIRTUAL ASSISTANTS, SELF-SERVICE DATA, AND DIGITAL ASSET DISCOVERY
  • 8.5.1 STREAMLINING OF TEAMWORK AND KNOWLEDGE EXCHANGE TO ACCELERATE MARKET GROWTH
• 8.6 PRODUCT & CONFIGURATION MANAGEMENT
  • 8.6.1 NEED TO ENSURE ACCURACY AND REDUCES TIME-TO-MARKET ENHANCING CUSTOMER SATISFACTION TO FUEL MARKET GROWTH
• 8.7 INFRASTRUCTURE & ASSET MANAGEMENT
  • 8.7.1 INFRASTRUCTURE AND ASSET MANAGEMENT TO REDUCE DOWNTIME AND EXTEND ASSET LIFECYCLES THROUGH INFORMED DECISION-MAKING PROCESSES
• 8.8 PROCESS OPTIMIZATION & RESOURCE MANAGEMENT
  • 8.8.1 NEED FOR REAL-TIME RESOURCE UTILIZATION MONITORING ACROSS DIFFERENT PROJECTS OR DEPARTMENTS TO PROPEL MARKET
• 8.9 RISK MANAGEMENT, COMPLIANCE, AND REGULATORY REPORTING
  • 8.9.1 RISK MANAGEMENT, COMPLIANCE, AND REGULATORY REPORTING TO HELP MAP DATA FLOWS, RELATIONSHIPS, AND CONTROLS TO IDENTIFY VULNERABILITIES AND ENSURE COMPLIANCE
• 8.10 MARKET & CUSTOMER INTELLIGENCE AND SALES OPTIMIZATION
  • 8.10.1 NEED TO IDENTIFY TRENDS INFORMING TARGETED MARKETING STRATEGIES TO DRIVE MARKET
• 8.11 OTHER APPLICATIONS

9 KNOWLEDGE GRAPH MARKET, BY VERTICAL

• 9.1 INTRODUCTION
  • 9.1.1 VERTICALS: KNOWLEDGE GRAPH MARKET DRIVERS
• 9.2 BFSI
  • 9.2.1 INCREASING NEED TO MANAGE COMPLEX DATA TO SUPPORT MARKET GROWTH
  • 9.2.2 CASE STUDY
    • 9.2.2.1 Anti-money laundering (AML)
      • 9.2.2.1.1 Major US Financial Institutions enhanced anti-money laundering capabilities with TigerGraph
    • 9.2.2.2 Fraud detection & risk management
      • 9.2.2.2.1 BNP Paribas Personal Finance achieved 20% fraud reduction with Neo4j Graph Database
    • 9.2.2.3 Identity & access management
      • 9.2.2.3.1 Intuit safeguarded data of 100 million customers with Neo4j
    • 9.2.2.4 Risk management
      • 9.2.2.4.1 Global bank enhanced trade surveillance for risk management in BFSI
    • 9.2.2.5 Data integration & governance
      • 9.2.2.5.1 Optimizing data integration and governance for real-time risk management and compliance
    • 9.2.2.6 Operational resilience for bank IT systems
      • 9.2.2.6.1 Basel Institute on Governance enhanced asset recovery and financial intelligence with knowledge graphs for global financial institutions with Onto text 141
    • 9.2.2.7 Regulatory compliance
      • 9.2.2.7.1 Multinational auditing company enhanced regulatory compliance and operational efficiency with knowledge graphs of Ontotext
    • 9.2.2.8 Customer 360° view
      • 9.2.2.8.1 Intuit enhanced security and data protection using Neo4j knowledge graph for customer data
    • 9.2.2.9 Know Your Customer (KYC) processes
      • 9.2.2.9.1 AI-powered knowledge graphs streamlined KYC compliance and adverse media analysis in financial services
    • 9.2.2.10 Market analysis and trend detection
      • 9.2.2.10.1 Leading investment bank enhanced investment insights through comprehensive company knowledge graph
    • 9.2.2.11 Policy impact analysis
      • 9.2.2.11.1 Delinian enhanced content production and analysis with semantic publishing platform
    • 9.2.2.12 Customer support
      • 9.2.2.12.1 Banks and insurance companies improved AI-powered knowledge graphs to revolutionize customer support in BFSI
    • 9.2.2.13 Self-service data & digital asset discovery and data integration & governance
      • 9.2.2.13.1 HSBC revolutionized data governance with knowledge graphs in BFSI
• 9.3 RETAIL & ECOMMERCE
  • 9.3.1 NEED TO OPTIMIZE INVENTORY MANAGEMENT FACILITATED BY KNOWLEDGE GRAPHS TO DRIVE MARKET
  • 9.3.2 CASE STUDY
    • 9.3.2.1 Fraud detection in eCommerce
      • 9.3.2.1.1 PayPal enhanced fraud detection with knowledge graphs
    • 9.3.2.2 Dynamic pricing optimization
      • 9.3.2.2.1 Belgian company revolutionized new product development with food pairing knowledge graph
    • 9.3.2.3 Personalized recommendations
      • 9.3.2.3.1 Xandr created industry-leading identity graph for personalized advertising with TigerGraph
    • 9.3.2.4 Market basket analysis
      • 9.3.2.4.1 eCommerce giants boosted retail sales with knowledge graph-powered market basket analysis
    • 9.3.2.5 Customer experience enhancement
      • 9.3.2.5.1 Retailers improved store operations and increased customer satisfaction using TigerGraph
      • 9.3.2.5.2 Edamam enhanced food knowledge and user experience with knowledge graphs
    • 9.3.2.6 Social media influence on buying behavior
      • 9.3.2.6.1 Leveraging knowledge graphs to track social media influence on buying behavior at Coca-Cola
    • 9.3.2.7 Churn prediction & prevention
      • 9.3.2.7.1 Reduction of customer churn with knowledge graphs
    • 9.3.2.8 Product configuration & recommendation
      • 9.3.2.8.1 Leading automotive manufacturer personalized customer experience with knowledge graphs for product configuration
    • 9.3.2.9 Customer segmentation & targeting
      • 9.3.2.9.1 Xbox enhanced user experience with TigerGraph for better customer insights and loyalty
    • 9.3.2.10 Customer 360° view
      • 9.3.2.10.1 Technology giant enhanced customer engagement with TigerGraph for personalized experiences
    • 9.3.2.11 Review & reputation management
      • 9.3.2.11.1 Neo4j managed brand reputation with knowledge graphs at TripAdvisor
    • 9.3.2.12 Customer support
      • 9.3.2.12.1 Retailer enhanced operations and customer satisfaction with TigerGraph for root cause analysis
• 9.4 HEALTHCARE, LIFE SCIENCES, AND PHARMACEUTICALS
  • 9.4.1 NEED TO REVOLUTIONIZE HEALTHCARE PRACTICES TO PROPEL ADOPTION OF KNOWLEDGE GRAPHS
  • 9.4.2 CASE STUDY
    • 9.4.2.1 Drug discovery & development
      • 9.4.2.1.1 Early Drug R&D center accelerated cancer research with Ontotext's target discovery
      • 9.4.2.1.2 Ontotext's Target Discovery accelerated Alzheimer's breakthroughs with knowledge graphs
    • 9.4.2.2 Clinical trial management
      • 9.4.2.2.1 NuMedii streamlined clinical trial management with AI-powered knowledge graphs with Ontotext
    • 9.4.2.3 Medical claim processing
      • 9.4.2.3.1 UnitedHealth Group revolutionized medical claim processing with TigerGraph
    • 9.4.2.4 Clinical intelligence
      • 9.4.2.4.1 Leading US Children's Hospital gained deeper insights into impact of its faculty research
    • 9.4.2.5 Healthcare provider network analysis
      • 9.4.2.5.1 Amgen improved quality of healthcare by identifying influencers and referral networks using TigerGraph
    • 9.4.2.6 Customer support
      • 9.4.2.6.1 Exact Sciences Corporation revolutionized customer support in healthcare with a knowledge graph-powered 360° View
    • 9.4.2.7 Patient journey & care pathway analysis
      • 9.4.2.7.1 Care-for-Rare Foundation at Dr. von Hauner Children's Hospital transformed pediatric care pathways with Neo4j's clinical knowledge graph 153
    • 9.4.2.8 Self-service data & digital asset discovery
      • 9.4.2.8.1 Boehringer Ingelheim accelerating pharmaceutical innovation with Stardog Knowledge Graph
• 9.5 TELECOM & TECHNOLOGY
  • 9.5.1 NEED TO OPTIMIZE INTRICATE NETWORK INFRASTRUCTURE AND CUSTOMIZED SERVICE OFFERINGS TO FUEL MARKET GROWTH
  • 9.5.2 CASE STUDY
    • 9.5.2.1 Network optimization & management
      • 9.5.2.1.1 Cyber resilience leader scaled next-generation cybersecurity with TigerGraph to combat evolving threats
    • 9.5.2.2 Network security analysis
      • 9.5.2.2.1 Multinational cybersecurity and defense company accelerated risk identification in cybersecurity with knowledge graphs with Ontotext
    • 9.5.2.3 Identity & access management
      • 9.5.2.3.1 Technology giant improved customer experiences with TigerGraph
    • 9.5.2.4 IT asset management
      • 9.5.2.4.1 Orange used Thing'in to build digital twin platform
    • 9.5.2.5 IoT device management & connectivity
      • 9.5.2.5.1 AWS enhanced IoT device management with Amazon Neptune's scalable graph database solutions
    • 9.5.2.6 Metadata enrichment
      • 9.5.2.6.1 Cisco utilized Neo4j to enhance and assign metadata to its vast document collection
    • 9.5.2.7 Data integration & governance
      • 9.5.2.7.1 Dun & Bradstreet enhanced compliance with Neo4j's graph technology
    • 9.5.2.8 Self-service data & digital asset discovery
      • 9.5.2.8.1 Telecom provider optimized telecom operations with Neo4j's self-service data and digital asset discovery
    • 9.5.2.9 Service incident management
      • 9.5.2.9.1 BT Group revolutionizing telecom inventory management with Neo4j knowledge graph
• 9.6 GOVERNMENT
  • 9.6.1 SPEEDY DATA INTEGRATION AND INTEROPERABILITY TO BOOST MARKET GROWTH
  • 9.6.2 CASE STUDY
    • 9.6.2.1 Government service optimization
      • 9.6.2.1.1 LODAC Museum project, initiated by Japan's National Institute of Informatics (NII), enhanced academic access to cultural heritage data through Linked Open Data
    • 9.6.2.2 Legislative & regulatory analysis
      • 9.6.2.2.1 Inter-American Development Bank (IDB) enhanced knowledge discovery with knowledge graphs at the IDB 159
    • 9.6.2.3 Crisis management & disaster response planning
      • 9.6.2.3.1 Knowledge graphs enhanced crisis response for real-time decision-making
    • 9.6.2.4 Environmental impact analysis and ESG
      • 9.6.2.4.1 Vienna University of Technology transformed architectural design with ECOLOPES knowledge graph
    • 9.6.2.5 Social network analysis for security & law enforcement
      • 9.6.2.5.1 Social Network Analysis strengthened security via knowledge graphs
    • 9.6.2.6 Policy Impact Analysis
      • 9.6.2.6.1 Governments leveraged knowledge graphs for effective policy impact analysis
    • 9.6.2.7 Knowledge management
      • 9.6.2.7.1 Ellas leveraged Graphdb's knowledge graphs to bridge gender gaps in STEM leadership
    • 9.6.2.8 Data integration & governance
      • 9.6.2.8.1 Government agency took digital and print library services to next level partnering with metaphacts and Ontotext
• 9.7 MANUFACTURING & AUTOMOTIVE
  • 9.7.1 EASY PREDICTIVE MAINTENANCE AND DECREASE IN DOWNTIME TO SUPPORT MARKET GROWTH
  • 9.7.2 CASE STUDY
    • 9.7.2.1 Equipment maintenance and predictive maintenance
      • 9.7.2.1.1 Ford Motor Company enhanced production efficiency with TigerGraph for predictive maintenance
    • 9.7.2.2 Product lifecycle management
      • 9.7.2.2.1 Leading European manufacturer of electrical components enhanced product discoverability through semantic knowledge graphs
    • 9.7.2.3 Manufacturing process optimization
      • 9.7.2.3.1 Production streamlined efficiency with knowledge graphs
    • 9.7.2.4 Enhance vehicle safety & reliability
      • 9.7.2.4.1 Knowledge graphs improved vehicle safety with predictive maintenance
    • 9.7.2.5 Optimization of industrial processes
      • 9.7.2.5.1 Leading manufacturer of Building Automation Systems (BAS) graphs improved vehicle safety with Ontotext's GraphDB
    • 9.7.2.6 Root cause analysis
      • 9.7.2.6.1 Root Cause Analysis uncovered process failures with using knowledge graphs
    • 9.7.2.7 Inventory management & demand forecasting
      • 9.7.2.7.1 Knowledge graphs optimized inventory and demand forecasting with knowledge graphs
    • 9.7.2.8 Service incident management
      • 9.7.2.8.1 Knowledge graphs accelerated service incident resolution with knowledge graphs
    • 9.7.2.9 Staff & resource allocation
      • 9.7.2.9.1 Knowledge graphs optimized staff and resource allocation with knowledge graphs
    • 9.7.2.10 Product configuration & recommendation
      • 9.7.2.10.1 Leading Building Automation Systems (BAS) manufacturers used Brick schema to represent BAS components and their complex interactions
• 9.8 MEDIA & ENTERTAINMENT
  • 9.8.1 NEED TO IMPROVE CONTENT MANAGEMENT PROCEDURES AND BETTER DATA-DRIVEN DECISIONS TO FOSTER MARKET GROWTH
  • 9.8.2 CASE STUDY
    • 9.8.2.1 Content recommendation & personalization
      • 9.8.2.1.1 Leading television broadcaster streamlined data management and improved search efficiency with knowledge graphs
    • 9.8.2.2 Audience segmentation & targeting
      • 9.8.2.2.1 KT Corporation enhanced IPTV Content Discovery with semantic search for better audience targeting
    • 9.8.2.3 Social media influence analysis
      • 9.8.2.3.1 Myntelligence used TigerGraph's advanced graph analytics to analyze relationships and interactions
    • 9.8.2.4 Copyright & licensing management
      • 9.8.2.4.1 British Museum and Europeana leveraged knowledge graphs for efficient content management and licensing in cultural heritage
    • 9.8.2.5 Self-service data & digital asset discovery
      • 9.8.2.5.1 BBC transformed content management with semantic publishing for enhanced user experience
    • 9.8.2.6 Content recommendation systems
      • 9.8.2.6.1 STM publisher leveraged knowledge platform for enhanced content recommendation
    • 9.8.2.7 User engagement analysis
      • 9.8.2.7.1 Bulgarian media company leveraged Ontotext's knowledge graphs for enhanced user engagement and ad targeting
    • 9.8.2.8 Knowledge management
      • 9.8.2.8.1 Rappler empowered transparent elections with first Philippine Politics Knowledge Graph
      • 9.8.2.8.2 Perfect Memory and Ontotext developed custom data program platform based on knowledge graph solution to streamline data management
• 9.9 ENERGY, UTILITIES, AND INFRASTRUCTURE
  • 9.9.1 DEVELOPMENT OF INNOVATIVE TECHNOLOGIES TO DRIVE DEMAND FOR KNOWLEDGE GRAPH SOLUTIONS
  • 9.9.2 CASE STUDY
    • 9.9.2.1 Grid management
      • 9.9.2.1.1 Transmission Systems Operator (TSO) modernized asset management with knowledge graphs for enhanced grid reliability
    • 9.9.2.2 Energy trading optimization
      • 9.9.2.2.1 Global energy and commodities markets information provider gained enhanced operational efficiencies with semantic information extraction
    • 9.9.2.3 Renewable energy integration & optimization
      • 9.9.2.3.1 State Grid Corporation of China created speedy energy management system with assistance of TigerGraph
    • 9.9.2.4 Public infrastructure management
      • 9.9.2.4.1 Knowledge graphs enhanced infrastructure management for better decision-making
    • 9.9.2.5 Customer engagement & billing
      • 9.9.2.5.1 Knowledge graphs streamlined customer engagement and billing
    • 9.9.2.6 Environmental impact analysis & ESG
      • 9.9.2.6.1 Improved environmental impact analysis with knowledge graphs for ESG reporting
    • 9.9.2.7 Service incident management
      • 9.9.2.7.1 Enxchange transformed service incident management in energy with graph-based digital twins
    • 9.9.2.8 Staff & resource allocation
      • 9.9.2.8.1 Knowledge graphs optimized staff and resource allocation for efficient operations
    • 9.9.2.9 Railway asset management
      • 9.9.2.9.1 Railway asset management with graph databases enhanced connectivity and efficiency
• 9.10 TRAVEL & HOSPITALITY
  • 9.10.1 NEED FOR KNOWLEDGE GRAPHS TO HELP DEVELOP INNOVATIVE TECHNOLOGIES TO DRIVE MARKET
  • 9.10.2 CASE STUDY
    • 9.10.2.1 Personalized travel recommendations
      • 9.10.2.1.1 Travel personalization with knowledge graphs for tailored recommendations
    • 9.10.2.2 Dynamic pricing optimization
      • 9.10.2.2.1 Marriott International implemented knowledge graph technology for dynamic pricing and revenue optimization
    • 9.10.2.3 Customer journey mapping
      • 9.10.2.3.1 Knowledge graphs mapped customer journey for enhanced travel experiences
    • 9.10.2.4 Booking & reservation optimization
      • 9.10.2.4.1 WestJet Airlines transformed flight scheduling into a seamless, customer-friendly experience with Neo4j
    • 9.10.2.5 Customer experience enhancement
      • 9.10.2.5.1 Airbnb transformed customer experience with unified data and actionable insights with Neo4j graph database
    • 9.10.2.6 Product configuration and recommendation
      • 9.10.2.6.1 Knowledge graphs streamlined product configuration and recommendations
• 9.11 TRANSPORTATION & LOGISTICS
  • 9.11.1 NEED FOR DEVELOPMENT OF INNOVATIVE TECHNOLOGIES TO BOLSTER MARKET GROWTH
  • 9.11.2 CASE STUDY
    • 9.11.2.1 Route optimization & fleet management
      • 9.11.2.1.1 Transport for London (TfL) optimized route management and incident response with digital twin
    • 9.11.2.2 Supply chain visibility
      • 9.11.2.2.1 Knowledge graphs enhanced supply chain visibility with real-time insights
    • 9.11.2.3 Equipment maintenance & predictive maintenance
      • 9.11.2.3.1 Knowledge graphs optimized equipment maintenance with predictive insights via knowledge graphs
    • 9.11.2.4 Supply chain management
      • 9.11.2.4.1 Knowledge graphs streamlined supply chain management for better coordination
    • 9.11.2.5 Vendor & supplier analysis
      • 9.11.2.5.1 Vendor and supplier analysis with knowledge graphs for smarter sourcing
    • 9.11.2.6 Operational efficiency & decision making
      • 9.11.2.6.1 Careem improved operational efficiency through fraud detection
• 9.12 OTHER VERTICALS

10 KNOWLEDGE GRAPH MARKET, BY REGION

• 10.1 INTRODUCTION
• 10.2 NORTH AMERICA
  • 10.2.1 NORTH AMERICA: MACROECONOMIC OUTLOOK
  • 10.2.2 US
    • 10.2.2.1 Increasing need for structured data analytics and interoperability to drive market
  • 10.2.3 CANADA
    • 10.2.3.1 Increasing complexity of data and demand for efficient data to propel market
• 10.3 EUROPE
  • 10.3.1 EUROPE: MACROECONOMIC OUTLOOK
  • 10.3.2 UK
    • 10.3.2.1 Increasing complexity of data and demand for advanced data integration solutions to fuel market growth
  • 10.3.3 GERMANY
    • 10.3.3.1 Focus on Industry 4.0 to drive demand for knowledge graph
  • 10.3.4 FRANCE
    • 10.3.4.1 Focus on technological innovation, robust digital infrastructure, and supportive regulatory environment to foster market growth
  • 10.3.5 ITALY
    • 10.3.5.1 Increasing adoption of semantic technologies and government commitment to fostering innovation to drive market
  • 10.3.6 SPAIN
    • 10.3.6.1 Strategic initiatives in AI development sector and implementation of Spain's 2024 Artificial Intelligence Strategy to accelerate market
  • 10.3.7 NORDIC COUNTRIES
    • 10.3.7.1 High digital literacy, advanced AI readiness, and robust public-private partnerships to bolster market growth
  • 10.3.8 REST OF EUROPE
• 10.4 ASIA PACIFIC
  • 10.4.1 ASIA PACIFIC: MACROECONOMIC OUTLOOK
  • 10.4.2 CHINA
    • 10.4.2.1 Rapid technological advancements, government initiatives, and strategic focus on integrating AI to boost market
  • 10.4.3 JAPAN
    • 10.4.3.1 Advancements in robotics and a strong focus on AI technologies under the government's "Society 5.0" initiative to drive market
  • 10.4.4 INDIA
    • 10.4.4.1 Focus on promoting advanced technology usage through government initiatives to foster market growth
  • 10.4.5 SOUTH KOREA
    • 10.4.5.1 Strong focus on developing and enhancing public-private partnerships to drive market
  • 10.4.6 AUSTRALIA & NEW ZEALAND
    • 10.4.6.1 Strategic collaborations for development in new age technologies to drive market
  • 10.4.7 REST OF ASIA PACIFIC
• 10.5 MIDDLE EAST & AFRICA
  • 10.5.1 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
  • 10.5.2 GCC COUNTRIES
    • 10.5.2.1 Increasing investment in AI technologies for development to fuel market growth
    • 10.5.2.2 UAE
      • 10.5.2.2.1 Rising government support for AI and digital transformation initiatives to foster market growth
    • 10.5.2.3 KSA
      • 10.5.2.3.1 Government initiatives and investments in digital infrastructure to propel market
    • 10.5.2.4 Rest of GCC countries
  • 10.5.3 SOUTH AFRICA
    • 10.5.3.1 Growing focus on digital transformation and innovation to accelerate market growth
  • 10.5.4 REST OF MIDDLE EAST & AFRICA 244
• 10.6 LATIN AMERICA
  • 10.6.1 LATIN AMERICA: MACROECONOMIC OUTLOOK
  • 10.6.2 BRAZIL
    • 10.6.2.1 Increasing demand for personalized customer interactions and advancements in AI technologies to propel market
  • 10.6.3 MEXICO
    • 10.6.3.1 Focus on advancing digital infrastructure to boost market growth
  • 10.6.4 ARGENTINA
    • 10.6.4.1 Focus on digital transformation initiatives to drive market
  • 10.6.5 REST OF LATIN AMERICA

11 COMPETITIVE LANDSCAPE

• 11.1 INTRODUCTION
• 11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
• 11.3 REVENUE ANALYSIS
• 11.4 MARKET SHARE ANALYSIS
• 11.5 MARKET RANKING ANALYSIS
• 11.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
  • 11.6.1 STARS
  • 11.6.2 EMERGING LEADERS
  • 11.6.3 PERVASIVE PLAYERS
  • 11.6.4 PARTICIPANTS
  • 11.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
    • 11.6.5.1 Company footprint
    • 11.6.5.2 Vertical footprint
    • 11.6.5.3 Offering footprint
    • 11.6.5.4 Regional footprint
• 11.7 COMPANY EVALUATION MATRIX: START-UPS/SMES, 2024
  • 11.7.1 PROGRESSIVE COMPANIES
  • 11.7.2 RESPONSIVE COMPANIES
  • 11.7.3 DYNAMIC COMPANIES
  • 11.7.4 STARTING BLOCKS
  • 11.7.5 COMPETITIVE BENCHMARKING: START-UPS/SMES, 2024
    • 11.7.5.1 Key start-ups/SMEs
    • 11.7.5.2 Competitive benchmarking of key start-ups/SMEs
• 11.8 COMPETITIVE SCENARIOS AND TRENDS
  • 11.8.1 PRODUCT LAUNCHES & ENHANCEMENTS
  • 11.8.2 DEALS
• 11.9 BRAND/PRODUCT COMPARISON
• 11.10 COMPANY VALUATION AND FINANCIAL METRICS OF KEY KNOWLEDGE GRAPH SOLUTION PROVIDERS 275

12 COMPANY PROFILES

• 12.1 KEY PLAYERS
  • 12.1.1 NEO4J
    • 12.1.1.1 Business overview
    • 12.1.1.2 Products/Solutions/Services offered
    • 12.1.1.3 Recent developments
      • 12.1.1.3.1 Product enhancements
      • 12.1.1.3.2 Deals
    • 12.1.1.4 MnM view
      • 12.1.1.4.1 Right to win
      • 12.1.1.4.2 Strategic choices
      • 12.1.1.4.3 Weaknesses and competitive threats
  • 12.1.2 AMAZON WEB SERVICES, INC
    • 12.1.2.1 Business overview
    • 12.1.2.2 Products/Solutions/Services offered
    • 12.1.2.3 Recent developments
      • 12.1.2.3.1 Product enhancements
    • 12.1.2.4 MnM view
      • 12.1.2.4.1 Right to win
      • 12.1.2.4.2 Strategic choices
      • 12.1.2.4.3 Weaknesses and competitive threats
  • 12.1.3 TIGERGRAPH
    • 12.1.3.1 Business overview
    • 12.1.3.2 Products/Solutions/Services offered
    • 12.1.3.3 Recent developments
      • 12.1.3.3.1 Product enhancements
      • 12.1.3.3.2 Deals
    • 12.1.3.4 MnM view
      • 12.1.3.4.1 Right to win
      • 12.1.3.4.2 Strategic choices
      • 12.1.3.4.3 Weaknesses and competitive threats
  • 12.1.4 GRAPHWISE
    • 12.1.4.1 Business overview
    • 12.1.4.2 Products/Solutions/Services offered
    • 12.1.4.3 Recent developments
      • 12.1.4.3.1 Product enhancements
    • 12.1.4.4 MnM view
      • 12.1.4.4.1 Right to win
      • 12.1.4.4.2 Strategic choices
      • 12.1.4.4.3 Weaknesses and competitive threats 287
  • 12.1.5 RELATIONALAI
    • 12.1.5.1 Business overview
    • 12.1.5.2 Products/Solutions/Services offered
    • 12.1.5.3 Recent developments
      • 12.1.5.3.1 Product launches
    • 12.1.5.4 MnM view
      • 12.1.5.4.1 Right to win
      • 12.1.5.4.2 Strategic choices
      • 12.1.5.4.3 Weaknesses and competitive threats
  • 12.1.6 IBM
    • 12.1.6.1 Business overview
    • 12.1.6.2 Products/Solutions/Services offered
    • 12.1.6.3 Recent developments
      • 12.1.6.3.1 Product enhancements
      • 12.1.6.3.2 Deals
  • 12.1.7 MICROSOFT
    • 12.1.7.1 Business overview
    • 12.1.7.2 Products/Solutions/Services offered
    • 12.1.7.3 Recent developments
      • 12.1.7.3.1 Product enhancements
      • 12.1.7.3.2 Deals
  • 12.1.8 SAP
    • 12.1.8.1 Business overview
    • 12.1.8.2 Products/Solutions/Services offered
    • 12.1.8.3 Recent developments
      • 12.1.8.3.1 Product enhancements
  • 12.1.9 ORACLE
    • 12.1.9.1 Business overview
    • 12.1.9.2 Products/Solutions/Services offered
    • 12.1.9.3 Recent developments
      • 12.1.9.3.1 Product enhancements
  • 12.1.10 STARDOG
    • 12.1.10.1 Business overview
    • 12.1.10.2 Products/Solutions/Services offered
    • 12.1.10.3 Recent developments
      • 12.1.10.3.1 Product enhancements
      • 12.1.10.3.2 Deals 305
  • 12.1.11 ONTOTEXT
    • 12.1.11.1 Business overview
    • 12.1.11.2 Products/Solutions/Services offered
    • 12.1.11.3 Recent developments
      • 12.1.11.3.1 Product enhancements
      • 12.1.11.3.2 Deals
  • 12.1.12 FRANZ INC.
    • 12.1.12.1 Business overview
    • 12.1.12.2 Products/Solutions/Services offered
    • 12.1.12.3 Recent developments
      • 12.1.12.3.1 Product enhancements
  • 12.1.13 ALTAIR
    • 12.1.13.1 Business overview
    • 12.1.13.2 Products/Solutions/Services offered
    • 12.1.13.3 Recent developments
      • 12.1.13.3.1 Product enhancements
      • 12.1.13.3.2 Deals
  • 12.1.14 PROGRESS SOFTWARE CORPORATION
  • 12.1.15 ESRI
  • 12.1.16 SEMANTIC WEB COMPANY
  • 12.1.17 OPENLINK SOFTWARE
• 12.2 SMES/START-UPS
  • 12.2.1 DATAVID
  • 12.2.2 GRAPHBASE
  • 12.2.3 CONVERSIGHT
  • 12.2.4 ECCENCA
  • 12.2.5 ARANGODB
  • 12.2.6 FLUREE
  • 12.2.7 DIFFBOT
  • 12.2.8 BITNINE
  • 12.2.9 MEMGRAPH
  • 12.2.10 GRAPHAWARE
  • 12.2.11 ONLIM
  • 12.2.12 SMABBLER
  • 12.2.13 WISECUBE
  • 12.2.14 METAPHACTS

13 ADJACENT/RELATED MARKETS

• 13.1 INTRODUCTION
  • 13.1.1 LIMITATIONS
• 13.2 GRAPH DATABASE MARKET - GLOBAL FORECAST TO 2030
  • 13.2.1 MARKET DEFINITION
  • 13.2.2 MARKET OVERVIEW
    • 13.2.2.1 Graph database market, by offering
    • 13.2.2.2 Graph database market, by model type
    • 13.2.2.3 Graph database market, by application
    • 13.2.2.4 Graph database market, by vertical
    • 13.2.2.5 Graph database market, by region
• 13.3 ENTERPRISE CONTENT MANAGEMENT MARKET - GLOBAL FORECAST TO 2029
  • 13.3.1 MARKET DEFINITION
  • 13.3.2 MARKET OVERVIEW
    • 13.3.2.1 Enterprise content management market, by offering
    • 13.3.2.2 Enterprise content management market, by business function
    • 13.3.2.3 Enterprise content management market, by deployment mode
    • 13.3.2.4 Enterprise content management market, by organization size
    • 13.3.2.5 Enterprise content management market, by vertical
    • 13.3.2.6 Enterprise content management market, by region
• 13.4 GENERATIVE AI MARKET - GLOBAL FORECAST TO 2030
  • 13.4.1 MARKET DEFINITION
  • 13.4.2 MARKET OVERVIEW
    • 13.4.2.1 Generative AI market, by offering
    • 13.4.2.2 Generative AI market, by data modality
    • 13.4.2.3 Generative AI market, by application
    • 13.4.2.4 Generative AI market, by end user
    • 13.4.2.5 Generative AI market, by region

14 APPENDIX

• 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 RISK ASSESSMENT
• TABLE 3 AVERAGE SELLING PRICE OF KNOWLEDGE GRAPH SOLUTIONS, BY COUNTRY, 2023
• TABLE 4 INDICATIVE PRICING ANALYSIS OF KEY PLAYERS
• TABLE 5 KNOWLEDGE GRAPH MARKET: ECOSYSTEM
• TABLE 6 LIST OF MAJOR PATENTS
• TABLE 7 KNOWLEDGE GRAPH MARKET: CONFERENCES AND EVENTS, 2024-2025
• TABLE 8 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
• TABLE 9 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
• TABLE 10 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
• TABLE 11 REST OF THE WORLD: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
• TABLE 12 IMPACT OF PORTER'S FIVE FORCES ON KNOWLEDGE GRAPH MARKET
• TABLE 13 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS (%)
• TABLE 14 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
• TABLE 15 KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 16 KNOWLEDGE GRAPH MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 17 KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
• TABLE 18 KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
• TABLE 19 SOLUTIONS: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 20 SOLUTIONS: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 21 ENTERPRISE KNOWLEDGE GRAPH PLATFORMS: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 22 ENTERPRISE KNOWLEDGE GRAPH PLATFORMS: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 23 GRAPH DATABASE ENGINES: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 24 GRAPH DATABASE ENGINES: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 25 KNOWLEDGE MANAGEMENT TOOLSETS: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 26 KNOWLEDGE MANAGEMENT TOOLSETS: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 27 KNOWLEDGE GRAPH MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 28 KNOWLEDGE GRAPH MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 29 SERVICES: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 30 SERVICES: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 31 PROFESSIONAL SERVICES: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 32 PROFESSIONAL SERVICES: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 33 MANAGED SERVICES: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 34 MANAGED SERVICES: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 35 KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2019-2023 (USD MILLION)
• TABLE 36 KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2024-2030 (USD MILLION)
• TABLE 37 RESOURCE DESCRIPTION FRAMEWORK (RDF) TRIPLE STORES: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 38 RESOURCE DESCRIPTION FRAMEWORK (RDF) TRIPLE STORES: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 39 LABELED PROPERTY GRAPH (LPG): KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 40 LABELED PROPERTY GRAPH (LPG): KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 41 KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 42 KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 43 DATA GOVERNANCE & MASTER DATA MANAGEMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 44 DATA GOVERNANCE & MASTER DATA MANAGEMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 45 DATA ANALYTICS & BUSINESS INTELLIGENCE: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 46 DATA ANALYTICS & BUSINESS INTELLIGENCE: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 47 KNOWLEDGE & CONTENT MANAGEMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 48 KNOWLEDGE & CONTENT MANAGEMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 49 VIRTUAL ASSISTANTS, SELF-SERVICE DATA, AND DIGITAL ASSET DISCOVERY: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 50 VIRTUAL ASSISTANTS, SELF-SERVICE DATA, AND DIGITAL ASSET DISCOVERY: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 51 PRODUCT & CONFIGURATION MANAGEMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 52 PRODUCT & CONFIGURATION MANAGEMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 53 INFRASTRUCTURE & ASSET MANAGEMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 54 INFRASTRUCTURE & ASSET MANAGEMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 55 PROCESS OPTIMIZATION & RESOURCE MANAGEMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 56 PROCESS OPTIMIZATION & RESOURCE MANAGEMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 57 RISK MANAGEMENT, COMPLIANCE, AND REGULATORY REPORTING: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 58 RISK MANAGEMENT, COMPLIANCE, AND REGULATORY REPORTING: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 59 MARKET & CUSTOMER INTELLIGENCE AND SALES OPTIMIZATION: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 60 MARKET & CUSTOMER INTELLIGENCE AND SALES OPTIMIZATION: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 61 OTHER APPLICATIONS: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 62 OTHER APPLICATIONS: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 63 KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
• TABLE 64 KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2024-2030 (USD MILLION)
• TABLE 65 BFSI: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 66 BFSI: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 67 RETAIL & ECOMMERCE: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 68 RETAIL & ECOMMERCE: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 69 HEALTHCARE, LIFE SCIENCES, AND PHARMACEUTICALS: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 70 HEALTHCARE, LIFE SCIENCES, AND PHARMACEUTICALS: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 71 TELECOM & TECHNOLOGY: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 72 TELECOM & TECHNOLOGY: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 73 GOVERNMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 74 GOVERNMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 75 MANUFACTURING & AUTOMOTIVE: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 76 MANUFACTURING & AUTOMOTIVE: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 77 MEDIA & ENTERTAINMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 78 MEDIA & ENTERTAINMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 79 ENERGY, UTILITIES, AND INFRASTRUCTURE: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 80 ENERGY, UTILITIES, AND INFRASTRUCTURE: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 81 TRAVEL & HOSPITALITY: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 82 TRAVEL & HOSPITALITY: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 83 TRANSPORTATION & LOGISTICS: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 84 TRANSPORTATION & LOGISTICS: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 85 OTHER VERTICALS: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 86 OTHER VERTICALS: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 87 KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 88 KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 89 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 90 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 91 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
• TABLE 92 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
• TABLE 93 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 94 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 95 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2019-2023 (USD MILLION)
• TABLE 96 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2024-2030 (USD MILLION)
• TABLE 97 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 98 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 99 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
• TABLE 100 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2024-2030 (USD MILLION)
• TABLE 101 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
• TABLE 102 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
• TABLE 103 US: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 104 US: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 105 US: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
• TABLE 106 US: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
• TABLE 107 US: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 108 US: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 109 US: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2019-2023 (USD MILLION)
• TABLE 110 US: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2024-2030 (USD MILLION)
• TABLE 111 US: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 112 US: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 113 US: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
• TABLE 114 US: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2024-2030 (USD MILLION)
• TABLE 115 EUROPE: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 116 EUROPE: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 117 EUROPE: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
• TABLE 118 EUROPE: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
• TABLE 119 EUROPE: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 120 EUROPE: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 121 EUROPE: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2019-2023 (USD MILLION)
• TABLE 122 EUROPE: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2024-2030 (USD MILLION)
• TABLE 123 EUROPE: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 124 EUROPE: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 125 EUROPE: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
• TABLE 126 EUROPE: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2024-2030 (USD MILLION)
• TABLE 127 EUROPE: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
• TABLE 128 EUROPE: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
• TABLE 129 UK: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 130 UK: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 131 UK: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
• TABLE 132 UK: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
• TABLE 133 UK: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 134 UK: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 135 UK: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2019-2023 (USD MILLION)
• TABLE 136 UK: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2024-2030 (USD MILLION)
• TABLE 137 UK: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 138 UK: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 139 UK: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
• TABLE 140 UK: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2024-2030 (USD MILLION)
• TABLE 141 ITALY: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 142 ITALY: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 143 ITALY: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
• TABLE 144 ITALY: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
• TABLE 145 ITALY: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 146 ITALY: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 147 ITALY: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2019-2023 (USD MILLION)
• TABLE 148 ITALY: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2024-2030 (USD MILLION)
• TABLE 149 ITALY: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 150 ITALY: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 151 ITALY: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
• TABLE 152 ITALY: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2024-2030 (USD MILLION)
• TABLE 153 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 154 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 155 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
• TABLE 156 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
• TABLE 157 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 158 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 159 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2019-2023 (USD MILLION)
• TABLE 160 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2024-2030 (USD MILLION)
• TABLE 161 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 162 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 163 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
• TABLE 164 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2024-2030 (USD MILLION)
• TABLE 165 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
• TABLE 166 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
• TABLE 167 CHINA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 168 CHINA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 169 CHINA: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
• TABLE 170 CHINA: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
• TABLE 171 CHINA: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 172 CHINA: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 173 CHINA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2019-2023 (USD MILLION)
• TABLE 174 CHINA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2024-2030 (USD MILLION)
• TABLE 175 CHINA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 176 CHINA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 177 CHINA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
• TABLE 178 CHINA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2024-2030 (USD MILLION)
• TABLE 179 INDIA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 180 INDIA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 181 INDIA: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
• TABLE 182 INDIA: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
• TABLE 183 INDIA: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 184 INDIA: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 185 INDIA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2019-2023 (USD MILLION)
• TABLE 186 INDIA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2024-2030 (USD MILLION)
• TABLE 187 INDIA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 188 INDIA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 189 INDIA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
• TABLE 190 INDIA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2024-2030 (USD MILLION)
• TABLE 191 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 192 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 193 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
• TABLE 194 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
• TABLE 195 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 196 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 197 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2019-2023 (USD MILLION)
• TABLE 198 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2024-2030 (USD MILLION)
• TABLE 199 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 200 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 201 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
• TABLE 202 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2024-2030 (USD MILLION)
• TABLE 203 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 204 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 205 GCC COUNTRIES: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 206 GCC COUNTRIES: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 207 GCC COUNTRIES: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
• TABLE 208 GCC COUNTRIES: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
• TABLE 209 GCC COUNTRIES: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 210 GCC COUNTRIES: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 211 GCC COUNTRIES: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2019-2023 (USD MILLION)
• TABLE 212 GCC COUNTRIES: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2024-2030 (USD MILLION)
• TABLE 213 GCC COUNTRIES: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 214 GCC COUNTRIES: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 215 GCC COUNTRIES: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
• TABLE 216 GCC COUNTRIES: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2024-2030 (USD MILLION)
• TABLE 217 GCC COUNTRIES: KNOWLEDGE GRAPH MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 218 GCC COUNTRIES: KNOWLEDGE GRAPH MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 219 KSA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 220 KSA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 221 KSA: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
• TABLE 222 KSA: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
• TABLE 223 KSA: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 224 KSA: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 225 KSA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2019-2023 (USD MILLION)
• TABLE 226 KSA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2024-2030 (USD MILLION)
• TABLE 227 KSA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 228 KSA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 229 KSA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
• TABLE 230 KSA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2024-2030 (USD MILLION)
• TABLE 231 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 232 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 233 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
• TABLE 234 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
• TABLE 235 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 236 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 237 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2019-2023 (USD MILLION)
• TABLE 238 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2024-2030 (USD MILLION)
• TABLE 239 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 240 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 241 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
• TABLE 242 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2024-2030 (USD MILLION)
• TABLE 243 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
• TABLE 244 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
• TABLE 245 BRAZIL: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 246 BRAZIL: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 247 BRAZIL: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2019-2023 (USD MILLION)
• TABLE 248 BRAZIL: KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2024-2030 (USD MILLION)
• TABLE 249 BRAZIL: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 250 BRAZIL: KNOWLEDGE GRAPH MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 251 BRAZIL: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2019-2023 (USD MILLION)
• TABLE 252 BRAZIL: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2024-2030 (USD MILLION)
• TABLE 253 BRAZIL: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 254 BRAZIL: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 255 BRAZIL: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
• TABLE 256 BRAZIL: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2024-2030 (USD MILLION)
• TABLE 257 OVERVIEW OF STRATEGIES ADOPTED BY KEY KNOWLEDGE GRAPH MARKET VENDORS
• TABLE 258 KNOWLEDGE GRAPH MARKET: DEGREE OF COMPETITION
• TABLE 259 KNOWLEDGE GRAPH MARKET: VERTICAL FOOTPRINT
• TABLE 260 KNOWLEDGE GRAPH MARKET: OFFERING FOOTPRINT
• TABLE 261 KNOWLEDGE GRAPH MARKET: REGIONAL FOOTPRINT
• TABLE 262 KNOWLEDGE GRAPH MARKET: DETAILED LIST OF KEY START-UPS/SMES
• TABLE 263 KNOWLEDGE GRAPH MARKET: COMPETITIVE BENCHMARKING OF KEY START-UPS/SMES
• TABLE 264 KNOWLEDGE GRAPH MARKET: PRODUCT LAUNCHES & ENHANCEMENTS, APRIL 2022-DECEMBER 2024
• TABLE 265 KNOWLEDGE GRAPH MARKET: DEALS, APRIL 2022-DECEMBER 2024
• TABLE 266 NEO4J: COMPANY OVERVIEW
• TABLE 267 NEO4J: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 268 NEO4J: PRODUCT ENHANCEMENTS
• TABLE 269 NEO4J: DEALS
• TABLE 270 AMAZON WEB SERVICES, INC: COMPANY OVERVIEW
• TABLE 271 AMAZON WEB SERVICES, INC: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 272 AMAZON WEB SERVICES, INC: PRODUCT ENHANCEMENTS
• TABLE 273 TIGERGRAPH: COMPANY OVERVIEW
• TABLE 274 TIGERGRAPH: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 275 TIGERGRAPH: PRODUCT ENHANCEMENTS
• TABLE 276 TIGERGRAPH: DEALS
• TABLE 277 GRAPHWISE: COMPANY OVERVIEW
• TABLE 278 GRAPHWISE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 279 GRAPHWISE: PRODUCT ENHANCEMENTS
• TABLE 280 RELATIONALAI: COMPANY OVERVIEW
• TABLE 281 RELATIONALAI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 282 RELATIONALAI: PRODUCT LAUNCHES
• TABLE 283 IBM: COMPANY OVERVIEW
• TABLE 284 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 285 IBM: PRODUCT ENHANCEMENTS
• TABLE 286 IBM: DEALS
• TABLE 287 MICROSOFT: COMPANY OVERVIEW
• TABLE 288 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 289 MICROSOFT: PRODUCT ENHANCEMENTS
• TABLE 290 MICROSOFT: DEALS
• TABLE 291 SAP: COMPANY OVERVIEW
• TABLE 292 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 293 SAP: PRODUCT ENHANCEMENTS
• TABLE 294 ORACLE: COMPANY OVERVIEW
• TABLE 295 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 296 ORACLE: PRODUCT ENHANCEMENTS
• TABLE 297 STARDOG: COMPANY OVERVIEW
• TABLE 298 STARDOG: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 299 STARDOG: PRODUCT ENHANCEMENTS
• TABLE 300 STARDOG: DEALS
• TABLE 301 ONTOTEXT: COMPANY OVERVIEW
• TABLE 302 ONTOTEXT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 303 ONTOTEXT: PRODUCT ENHANCEMENTS
• TABLE 304 ONTOTEXT: DEALS
• TABLE 305 FRANZ INC.: COMPANY OVERVIEW
• TABLE 306 FRANZ INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 307 FRANZ INC.: PRODUCT ENHANCEMENTS
• TABLE 308 ALTAIR: COMPANY OVERVIEW
• TABLE 309 ALTAIR: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 310 ALTAIR: PRODUCT ENHANCEMENTS
• TABLE 311 ALTAIR: DEALS
• TABLE 312 ADJACENT REPORTS
• TABLE 313 GRAPH DATABASE MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 314 GRAPH DATABASE MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 315 GRAPH DATABASE MARKET, BY MODEL TYPE, 2019-2023 (USD MILLION)
• TABLE 316 GRAPH DATABASE MARKET, BY MODEL TYPE, 2024-2030 (USD MILLION)
• TABLE 317 GRAPH DATABASE MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 318 GRAPH DATABASE MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 319 GRAPH DATABASE MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
• TABLE 320 GRAPH DATABASE MARKET, BY VERTICAL, 2024-2030 (USD MILLION)
• TABLE 321 GRAPH DATABASE MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 322 GRAPH DATABASE MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 323 ENTERPRISE CONTENT MANAGEMENT MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 324 ENTERPRISE CONTENT MANAGEMENT MARKET, BY OFFERING, 2024-2029 (USD MILLION)
• TABLE 325 ENTERPRISE CONTENT MANAGEMENT MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
• TABLE 326 ENTERPRISE CONTENT MANAGEMENT MARKET, BY BUSINESS FUNCTION, 2024-2029 (USD MILLION)
• TABLE 327 ENTERPRISE CONTENT MANAGEMENT MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
• TABLE 328 ENTERPRISE CONTENT MANAGEMENT MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION)
• TABLE 329 ENTERPRISE CONTENT MANAGEMENT MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
• TABLE 330 ENTERPRISE CONTENT MANAGEMENT MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
• TABLE 331 ENTERPRISE CONTENT MANAGEMENT MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
• TABLE 332 ENTERPRISE CONTENT MANAGEMENT MARKET, BY VERTICAL, 2024-2029 (USD MILLION)
• TABLE 333 ENTERPRISE CONTENT MANAGEMENT MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 334 ENTERPRISE CONTENT MANAGEMENT MARKET, BY REGION, 2024-2029 (USD MILLION)
• TABLE 335 GENERATIVE AI MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 336 GENERATIVE AI MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 337 GENERATIVE AI MARKET, BY DATA MODALITY, 2019-2023 (USD MILLION)
• TABLE 338 GENERATIVE AI MARKET, BY DATA MODALITY, 2024-2030 (USD MILLION)
• TABLE 339 GENERATIVE AI MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 340 GENERATIVE AI MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 341 GENERATIVE AI MARKET, BY END USER, 2019-2023 (USD MILLION)
• TABLE 342 GENERATIVE AI MARKET, BY END USER, 2024-2030 (USD MILLION)
• TABLE 343 GENERATIVE AI MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 344 GENERATIVE AI MARKET, BY REGION, 2024-2030 (USD MILLION)

List of Figures

• FIGURE 1 KNOWLEDGE GRAPH MARKET: RESEARCH DESIGN
• FIGURE 2 TOP-DOWN AND APPROACH
• FIGURE 3 APPROACH 1 (SUPPLY SIDE): REVENUE OF VENDORS IN KNOWLEDGE GRAPH MARKET
• FIGURE 4 BOTTOM-UP APPROACH
• FIGURE 5 DEMAND-SIDE ANALYSIS
• FIGURE 6 BOTTOM-UP (SUPPLY SIDE) ANALYSIS: COLLECTIVE REVENUE FROM SOLUTIONS/SERVICES OF KNOWLEDGE GRAPH MARKET
• FIGURE 7 DATA TRIANGULATION
• FIGURE 8 KNOWLEDGE GRAPH MARKET, 2022-2030 (USD MILLION)
• FIGURE 9 KNOWLEDGE GRAPH MARKET: REGIONAL SNAPSHOT
• FIGURE 10 GROWING NEED FOR ADVANCED DATA INTEGRATION, CONTEXTUAL INSIGHTS, AND AI-DRIVEN DECISION-MAKING TO DRIVE KNOWLEDGE GRAPH MARKET
• FIGURE 11 SOLUTIONS SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE IN 2024
• FIGURE 12 MANAGED SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
• FIGURE 13 LABELED PROPERTY GRAPH (LPG) TO GROW FASTER DURING FORECAST PERIOD
• FIGURE 14 DATA ANALYTICS & BUSINESS INTELLIGENCE SEGMENT TO DOMINATE IN 2024
• FIGURE 15 BFSI SEGMENT TO ACCOUNT FOR MAJOR SHARE IN 2024
• FIGURE 16 GRAPH DATABASE ENGINE AND PROFESSIONAL SERVICES - DOMINANT SEGMENTS IN 2024
• FIGURE 17 KNOWLEDGE GRAPH MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
• FIGURE 18 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• FIGURE 19 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY COUNTRY, 2023
• FIGURE 20 KNOWLEDGE GRAPH MARKET: SUPPLY CHAIN ANALYSIS
• FIGURE 21 KEY PLAYERS IN KNOWLEDGE GRAPH MARKET ECOSYSTEM
• FIGURE 22 LIST OF MAJOR PATENTS FOR KNOWLEDGE GRAPH
• FIGURE 23 PORTER'S FIVE FORCES MODEL: KNOWLEDGE GRAPH MARKET
• FIGURE 24 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS
• FIGURE 25 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
• FIGURE 26 EVOLUTION OF KNOWLEDGE GRAPH
• FIGURE 27 USE CASES OF GENERATIVE AI IN KNOWLEDGE GRAPH
• FIGURE 28 KNOWLEDGE GRAPH MARKET: INVESTMENT AND FUNDING SCENARIO (USD MILLION)
• FIGURE 29 SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
• FIGURE 30 ENTERPRISE KNOWLEDGE GRAPH PLATFORM SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
• FIGURE 31 MANAGED SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
• FIGURE 32 RDF TRIPLE STORES MODEL TYPE TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
• FIGURE 33 DATA ANALYTICS & BUSINESS INTELLIGENCE SEGMENT TO ACCOUNT FOR LARGEST MARKET DURING FORECAST PERIOD
• FIGURE 34 HEALTHCARE, LIFE SCIENCES, AND PHARMACEUTICALS SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
• FIGURE 35 NORTH AMERICA: MARKET SNAPSHOT
• FIGURE 36 ASIA PACIFIC: MARKET SNAPSHOT
• FIGURE 37 REVENUE ANALYSIS OF KEY COMPANIES IN PAST 5 YEARS
• FIGURE 38 SHARE OF LEADING COMPANIES IN KNOWLEDGE GRAPH MARKET, 2024
• FIGURE 39 MARKET RANKING ANALYSIS OF TOP FIVE PLAYERS
• FIGURE 40 KNOWLEDGE GRAPH MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2024
• FIGURE 41 KNOWLEDGE GRAPH MARKET: COMPANY FOOTPRINT
• FIGURE 42 KNOWLEDGE GRAPH MARKET: COMPANY EVALUATION MATRIX (START-UPS/SMES), 2024
• FIGURE 43 BRAND/PRODUCT COMPARISON
• FIGURE 44 FINANCIAL METRICS OF KEY KNOWLEDGE GRAPH MARKET VENDORS
• FIGURE 45 COMPANY VALUATION OF KEY KNOWLEDGE GRAPH MARKET VENDORS
• FIGURE 46 AMAZON WEB SERVICES: COMPANY SNAPSHOT
• FIGURE 47 IBM: COMPANY SNAPSHOT
• FIGURE 48 MICROSOFT: COMPANY SNAPSHOT
• FIGURE 49 SAP: COMPANY SNAPSHOT
• FIGURE 50 ORACLE: COMPANY SNAPSHOT
• FIGURE 51 ALTAIR: COMPANY SNAPSHOT