We use cookies to enhance your experience. By continuing to visit this site you agree to our use of cookies . More info . X close

Graph Database Market

Report Code TC 6341
Published in Jan, 2025, By MarketsandMarkets™
Download PDF

Choose License Type

Buy Report Now Inquire Before Buying

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 the growth of graph database technology by offering scalability, flexibility, and efficiency in cost translation 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: Rapid use of virtualization for big data analytics

Organizations are emphasizing the improvement of their operations by being able to detect threats earlier and reduce the impact of the risk. For threat identification, a graphical representation of the analyzed information has been found to be a suitable method. Graphical representation of data helps in finding hidden relationships between data sets. Technological evolutions have resulted in increased awareness among users from various industry verticals. The adoption of technologies has been aiding in the explosion of data, which has become a vulnerable asset in any data-intensive organization. It has also become vital for SMEs and large enterprises to manage and secure their data to formulate customer-centric business strategies. With graph database software, organizations can securely utilize their data across any global location. Additionally, the virtualization of data analytics for threat detection, risk assessment, and decision-making helps users understand the significance of graphically representing their data. Large enterprises, such as banking and financial institutions and online retail stores, are more likely to leverage the advantages of data analytics as they deal with huge volumes of customer data.

Restraint: Lack of standardization and programming ease

While graph databases are technically NoSQL databases, in practice, they cannot be implemented across a low-cost cluster but have to run on a single machine, resulting in rapid performance degradation across a network. Another potential drawback is that developers have to write their queries using Java as there is no Standard Query Language (SQL) to retrieve data from graph databases, which means employing expensive programmers or developers have to use SPARQL or one of the other query languages that have been developed to support graph databases. However, it would mean learning a new skill. This results in the lack of standardization and programming ease for graph database systems. There are visualization tools available for graph databases, but they are still in the developing stage.

 

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), 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 Semantic Technologies (UK), and FalkorDB (Israel).

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

Want to explore hidden markets that can drive new revenue in Graph Database Market?

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 Solutions type (Graph extnsions, Graph processing engines, Native graph databases, Knowledge graph engines), by Deployment mode (Cloud, On-premises)), Services (managed services, professional services (Consulting services, Deployment & integration services, Support & maintenance services))), by Model type (Resource Description Framework, Property Graph (Labeled property graph, Typed property graph)), by Applications (data governance & master data management, data analytics & business intelligence, knowledge & content management , virtual assistants, self-service data and digital asset discovery, product & configuration management, infrastructure & asset management, process optimization & resource management, risk management, compliance, and regulatory reporting, market & customer intelligence and sales optimization, other applications), by Vertical (Banking, Financial Services, and Insurance (BFSI), retail and eCommerce, healthcare, life sciences, and pharmaceuticals, telecom & technology, government & public sector, manufacturing & automotive, media & entertainment, energy & utilities, 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), RelationalAI (US), Progress Software (US), TigerGraph (US), Stardog (US), Datastax (US), Franz Inc (US), 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 Semantic Technologies (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.

 

Personalize This Research

  • Triangulate with your Own Data
  • Get Data as per your Format and Definition
  • Gain a Deeper Dive on a Specific Application, Geography, Customer or Competitor
  • Any level of Personalization
Request A Free Customisation

Let Us Help You

  • What are the Known and Unknown Adjacencies Impacting the Graph Database Market
  • What will your New Revenue Sources be?
  • Who will be your Top Customer; what will make them switch?
  • Defend your Market Share or Win Competitors
  • Get a Scorecard for Target Partners
Customized Workshop Request

Table of Contents

Exclusive indicates content/data unique to MarketsandMarkets and not available with any competitors.

TITLE
PAGE NO
INTRODUCTION
40
RESEARCH METHODOLOGY
45
EXECUTIVE SUMMARY
55
PREMIUM INSIGHTS
58
MARKET OVERVIEW AND INDUSTRY TRENDS
62
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - Rising demand for AI/generative AI solutions
    - Rapid growth in data volume and complexity
    - Growing demand for semantic search
    RESTRAINTS
    - Data quality and integration challenges
    - Navigation of saturated data management tool landscape
    - Scalability issues
    OPPORTUNITIES
    - Leveraging LLMs to reduce knowledge graph construction costs
    - Data unification and rapid proliferation of knowledge graphs
    - Increasing adoption in healthcare and life sciences to revolutionize data management and enhance patient outcomes
    CHALLENGES
    - Lack of expertise and awareness
    - Standardization and interoperability
    - Difficulty in demonstrating full value of knowledge graphs through single use cases
  • 5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.4 PRICING ANALYSIS
    PRICE TREND OF KEY PLAYERS, BY COUNTRY
    INDICATIVE PRICING ANALYSIS OF KEY PLAYERS
  • 5.5 SUPPLY CHAIN ANALYSIS
  • 5.6 ECOSYSTEM
  • 5.7 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - Graph Databases (GDB)
    - Semantic web technologies
    - Generative AI and Natural Language Processing (NLP)
    - GraphRAG
    COMPLEMENTARY TECHNOLOGIES
    - Artificial Intelligence (AI) and Machine Learning (ML)
    - Big data
    - Graph Neural Networks (GNNS)
    - Cloud computing
    - Vector databases and Full-Text Search Engines (FTS)
    - Multi-model databases
    ADJACENT TECHNOLOGIES
    - Digital twin
    - Internet of Things (IoT)
    - Blockchain
    - Edge computing
  • 5.8 PATENT ANALYSIS
    METHODOLOGY
    - List of major patents
  • 5.9 KEY CONFERENCES AND EVENTS, 2025–2026
  • 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 PORTER’S FIVE FORCES ANALYSIS
    THREAT OF NEW ENTRANTS
    THREAT OF SUBSTITUTES
    BARGAINING POWER OF BUYERS
    BARGAINING POWER OF SUPPLIERS
    INTENSITY OF COMPETITIVE RIVALRY
  • 5.12 KEY STAKEHOLDERS & BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
  • 5.13 BRIEF HISTORY OF KNOWLEDGE GRAPH
  • 5.14 STEPS TO BUILD KNOWLEDGE GRAPH
    DEFINE OBJECTIVES
    ENGAGE STAKEHOLDERS
    IDENTIFY KNOWLEDGE DOMAIN
    GATHER AND ANALYZE DATA
    CLEAN AND PREPROCESS DATA
    CREATE SEMANTIC DATA MODEL
    SCHEMA DEFINITION
    DATA INTEGRATION
    HARMONIZATION OF DATA
    - BUILD KNOWLEDGE GRAPH
    - AUGMENT GRAPH
    - TESTING AND VALIDATION
    - MAXIMIZE USABILITY
    - CONTINUOUS MAINTENANCE AND EVOLUTION
  • 5.15 IMPACT OF AI/GENERATIVE AI ON KNOWLEDGE GRAPH MARKET
    USE CASES OF GENERATIVE KNOWLEDGE GRAPH
  • 5.16 INVESTMENT AND FUNDING SCENARIO
  • 5.17 CASE STUDY ANALYSIS
    TRANSMISSION SYSTEM OPERATOR LEVERAGED GRAPHWISE’S SOLUTIONS TO MODERNIZE ASSET MANAGEMENT
    BOSTON SCIENTIFIC STREAMLINED MEDICAL SUPPLY CHAIN USING NEO4J’S GRAPH DATA SCIENCE SOLUTION
    NATIONAL RETAIL CHAIN FROM UK ENHANCED OPERATIONAL EFFICIENCY USING TIGERGRAPH’S SOLUTION
    SCHNEIDER ELECTRIC USED STARDOG TO LEAD SMART BUILDING TRANSFORMATION
    MEDIA ORGANIZATION USED PROGRESS SEMAPHORE TO CLASSIFY CONTENT FOR BETTER AUDIENCE ENGAGEMENT
    YAHOO7 REPRESENTED CONTENT WITHIN KNOWLEDGE GRAPH WITH ASSISTANCE OF BLAZEGRAPH
    DATABASE GROUP HELPED SPRINGERMATERIALS ACCELERATE RESEARCH WITH SEMANTIC SEARCH
    RFS OPTIMIZED ITS GLOBAL PRODUCT AND INVENTORY MANAGEMENT BY USING ECCENCA’S SOLUTION
KNOWLEDGE GRAPH MARKET, BY OFFERING
106
  • 6.1 INTRODUCTION
    OFFERINGS: KNOWLEDGE GRAPH MARKET DRIVERS
  • 6.2 SOLUTIONS
    SPIKE IN DEMAND FOR SOPHISTICATED DATA MANAGEMENT AND ANALYSIS TO DRIVE MARKET
    ENTERPRISE KNOWLEDGE GRAPH PLATFORM
    - Need to improve discovery of data, promote better decision-making, and enable real-time insights using semantic technologies to propel market
    GRAPH DATABASE ENGINE
    - Features like parallel query execution and AI-driven insights in graph database engines to accelerate market growth
    KNOWLEDGE MANAGEMENT TOOLSET
    - Knowledge management toolsets to enhance operational efficiency by enabling seamless access to organizational knowledge
  • 6.3 SERVICES
    PROFESSIONAL SERVICES
    MANAGED SERVICES
KNOWLEDGE GRAPH MARKET, BY MODEL TYPE
117
  • 7.1 INTRODUCTION
    MODEL TYPES: KNOWLEDGE GRAPH MARKET DRIVERS
  • 7.2 RESOURCE DESCRIPTION FRAMEWORK (RDF)
    RDF-BASED KNOWLEDGE GRAPHS TO FACILITATE APPLICATIONS REQUIRING SEMANTIC INTEROPERABILITY
  • 7.3 LABELED PROPERTY GRAPH (LPG)
    LOGICAL INFERENCE, KNOWLEDGE DISCOVERY, AND STRUCTURED REPRESENTATION OF DATA TO BOOST MARKET GROWTH
KNOWLEDGE GRAPH MARKET, BY APPLICATION
122
  • 8.1 INTRODUCTION
    APPLICATIONS: KNOWLEDGE GRAPH MARKET DRIVERS
  • 8.2 DATA GOVERNANCE AND MASTER DATA MANAGEMENT
    NEED FOR ENHANCED SEARCH FUNCTIONALITIES TO BOLSTER MARKET GROWTH
  • 8.3 DATA ANALYTICS & BUSINESS INTELLIGENCE
    INTEGRATION OF KNOWLEDGE FROM SEVERAL DISCIPLINES AND OFFERING PERSONALIZED RECOMMENDATIONS TO BOOST MARKET GROWTH
  • 8.4 KNOWLEDGE & CONTENT MANAGEMENT
    WIDESPREAD KNOWLEDGE OF INTRICATE IDEAS THROUGH CROSS-DOMAIN INFORMATION INTEGRATION TO BOOST MARKET
  • 8.5 VIRTUAL ASSISTANTS, SELF-SERVICE DATA, AND DIGITAL ASSET DISCOVERY
    STREAMLINING OF TEAMWORK AND KNOWLEDGE EXCHANGE TO ACCELERATE MARKET GROWTH
  • 8.6 PRODUCT & CONFIGURATION MANAGEMENT
    NEED TO ENSURE ACCURACY AND REDUCES TIME-TO-MARKET ENHANCING CUSTOMER SATISFACTION TO FUEL MARKET GROWTH
  • 8.7 INFRASTRUCTURE & ASSET MANAGEMENT
    INFRASTRUCTURE AND ASSET MANAGEMENT TO REDUCE DOWNTIME AND EXTEND ASSET LIFECYCLES THROUGH INFORMED DECISION-MAKING PROCESSES
  • 8.8 PROCESS OPTIMIZATION & RESOURCE MANAGEMENT
    NEED FOR REAL-TIME RESOURCE UTILIZATION MONITORING ACROSS DIFFERENT PROJECTS OR DEPARTMENTS TO PROPEL MARKET
  • 8.9 RISK MANAGEMENT, COMPLIANCE, AND REGULATORY REPORTING
    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
    NEED TO IDENTIFY TRENDS INFORMING TARGETED MARKETING STRATEGIES TO DRIVE MARKET
  • 8.11 OTHER APPLICATIONS
KNOWLEDGE GRAPH MARKET, BY VERTICAL
135
  • 9.1 INTRODUCTION
    VERTICALS: KNOWLEDGE GRAPH MARKET DRIVERS
  • 9.2 BFSI
    INCREASING NEED TO MANAGE COMPLEX DATA TO SUPPORT MARKET GROWTH
    CASE STUDY
    - ?nti-money laundering (AML)
    - Fraud detection & risk management
    - Identity & access management
    - Risk management
    - Data integration & governance
    - Operational resilience for bank IT systems
    - Regulatory compliance
    - Customer 360° view
    - Know Your Customer (KYC) processes
    - Market analysis and trend detection
    - Policy impact analysis
    - Customer support
    - Self-service data & digital asset discovery and data integration & governance
  • 9.3 RETAIL & ECOMMERCE
    NEED TO OPTIMIZE INVENTORY MANAGEMENT FACILITATED BY KNOWLEDGE GRAPHS TO DRIVE MARKET
    CASE STUDY
    - Fraud detection in eCommerce
    - Dynamic pricing optimization
    - Personalized recommendations
    - Market basket analysis
    - Customer experience enhancement
    - Social media influence on buying behavior
    - Churn prediction & prevention
    - Product configuration & recommendation
    - Customer segmentation & targeting
    - Customer 360° view
    - Review & reputation management
    - Customer support
  • 9.4 HEALTHCARE, LIFE SCIENCES, AND PHARMACEUTICALS
    NEED TO REVOLUTIONIZE HEALTHCARE PRACTICES TO PROPEL ADOPTION OF KNOWLEDGE GRAPHS
    CASE STUDY
    - Drug discovery & development
    - Clinical trial management
    - Medical claim processing
    - Clinical intelligence
    - Healthcare provider network analysis
    - Customer support
    - Patient journey & care pathway analysis
    - Self-service data & digital asset discovery
  • 9.5 TELECOM & TECHNOLOGY
    NEED TO OPTIMIZE INTRICATE NETWORK INFRASTRUCTURE AND CUSTOMIZED SERVICE OFFERINGS TO FUEL MARKET GROWTH
    CASE STUDY
    - Network optimization & management
    - Network security analysis
    - Identity & access management
    - IT asset management
    - IoT device management & connectivity
    - Metadata enrichment
    - Data integration & governance
    - Self-service data & digital asset discovery
    - Service incident management
  • 9.6 GOVERNMENT
    SPEEDY DATA INTEGRATION AND INTEROPERABILITY TO BOOST MARKET GROWTH
    CASE STUDY
    - Government service optimization
    - Legislative & regulatory analysis
    - Crisis management & disaster response planning
    - Environmental impact analysis and ESG
    - Social network analysis for security & law enforcement
    - Policy Impact Analysis
    - Knowledge management
    - Data integration & governance
  • 9.7 MANUFACTURING & AUTOMOTIVE
    EASY PREDICTIVE MAINTENANCE AND DECREASE IN DOWNTIME TO SUPPORT MARKET GROWTH
    CASE STUDY
    - Equipment maintenance and predictive maintenance
    - Product lifecycle management
    - Manufacturing process optimization
    - Enhance vehicle safety & 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
    NEED TO IMPROVE CONTENT MANAGEMENT PROCEDURES AND BETTER DATA-DRIVEN DECISIONS TO FOSTER MARKET GROWTH
    CASE STUDY
    - Content recommendation & personalization
    - Audience segmentation & targeting
    - Social media influence analysis
    - Copyright & licensing management
    - Self-service data & digital asset discovery
    - Content recommendation systems
    - User engagement analysis
    - Knowledge management
  • 9.9 ENERGY, UTILITIES, AND INFRASTRUCTURE
    DEVELOPMENT OF INNOVATIVE TECHNOLOGIES TO DRIVE DEMAND FOR KNOWLEDGE GRAPH SOLUTIONS
    CASE STUDY
    - Grid management
    - Energy trading optimization
    - Renewable energy integration & optimization
    - Public infrastructure management
    - Customer engagement & billing
    - Environmental impact analysis & ESG
    - Service incident management
    - Staff & resource allocation
    - Railway asset management
  • 9.10 TRAVEL & HOSPITALITY
    NEED FOR KNOWLEDGE GRAPHS TO HELP DEVELOP INNOVATIVE TECHNOLOGIES TO DRIVE MARKET
    CASE STUDY
    - Personalized travel recommendations
    - Dynamic pricing optimization
    - Customer journey mapping
    - Booking & reservation optimization
    - Customer experience enhancement
    - Product configuration and recommendation
  • 9.11 TRANSPORTATION & LOGISTICS
    NEED FOR DEVELOPMENT OF INNOVATIVE TECHNOLOGIES TO BOLSTER MARKET GROWTH
    CASE STUDY
    - Route optimization & fleet management
    - Supply chain visibility
    - Equipment maintenance & predictive maintenance
    - Supply chain management
    - Vendor & supplier analysis
    - Operational efficiency & decision making
  • 9.12 OTHER VERTICALS
KNOWLEDGE GRAPH MARKET, BY REGION
180
  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    NORTH AMERICA: MACROECONOMIC OUTLOOK
    US
    - Increasing need for structured data analytics and interoperability to drive market
    CANADA
    - Increasing complexity of data and demand for efficient data to propel market
  • 10.3 EUROPE
    EUROPE: MACROECONOMIC OUTLOOK
    UK
    - Increasing complexity of data and demand for advanced data integration solutions to fuel market growth
    GERMANY
    - Focus on Industry 4.0 to drive demand for knowledge graph
    FRANCE
    - Focus on technological innovation, robust digital infrastructure, and supportive regulatory environment to foster market growth
    ITALY
    - Increasing adoption of semantic technologies and government commitment to fostering innovation to drive market
    SPAIN
    - Strategic initiatives in AI development sector and implementation of Spain's 2024 Artificial Intelligence Strategy to accelerate market
    NORDIC COUNTRIES
    - High digital literacy, advanced AI readiness, and robust public-private partnerships to bolster market growth
    REST OF EUROPE
  • 10.4 ASIA PACIFIC
    ASIA PACIFIC: MACROECONOMIC OUTLOOK
    CHINA
    - Rapid technological advancements, government initiatives, and strategic focus on integrating AI to boost market
    JAPAN
    - Advancements in robotics and a strong focus on AI technologies under the government’s “Society 5.0” initiative to drive market
    INDIA
    - Focus on promoting advanced technology usage through government initiatives to foster market growth
    SOUTH KOREA
    - Strong focus on developing and enhancing public-private partnerships to drive market
    AUSTRALIA & NEW ZEALAND
    - Strategic collaborations for development in new age technologies to drive market
    REST OF ASIA PACIFIC
  • 10.5 MIDDLE EAST & AFRICA
    MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
    GCC COUNTRIES
    - Increasing investment in AI technologies for development to fuel market growth
    - UAE
    - KSA
    - Rest of GCC countries
    SOUTH AFRICA
    - Growing focus on digital transformation and innovation to accelerate market growth
    REST OF MIDDLE EAST & AFRICA
  • 10.6 LATIN AMERICA
    LATIN AMERICA: MACROECONOMIC OUTLOOK
    BRAZIL
    - Increasing demand for personalized customer interactions and advancements in AI technologies to propel market
    MEXICO
    - Focus on advancing digital infrastructure to boost market growth
    ARGENTINA
    - Focus on digital transformation initiatives to drive market
    REST OF LATIN AMERICA
COMPETITIVE LANDSCAPE
256
  • 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
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2024
    - Company footprint
    - Vertical footprint
    - Offering footprint
    - Regional footprint
  • 11.7 COMPANY EVALUATION MATRIX: START-UPS/SMES, 2024
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: START-UPS/SMES, 2024
    - Key start-ups/SMEs
    - Competitive benchmarking of key start-ups/SMEs
  • 11.8 COMPETITIVE SCENARIOS AND TRENDS
    PRODUCT LAUNCHES & ENHANCEMENTS
    DEALS
  • 11.9 BRAND/PRODUCT COMPARISON
  • 11.10 COMPANY VALUATION AND FINANCIAL METRICS
COMPANY PROFILES
276
  • 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
    GRAPHWISE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    RELATIONALAI
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    IBM
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    MICROSOFT
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    SAP
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    ORACLE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    STARDOG
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    FRANZ INC.
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    ALTAIR
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    PROGRESS SOFTWARE CORPORATION
    ESRI
    OPENLINK SOFTWARE
  • 12.2 SMES/START-UPS
    DATAVID
    GRAPHBASE
    CONVERSIGHT
    ECCENCA
    ARANGODB
    FLUREE
    DIFFBOT
    BITNINE
    MEMGRAPH
    GRAPHAWARE
    ONLIM
    SMABBLER
    WISECUBE
    METAPHACTS
ADJACENT/RELATED MARKETS
330
  • 13.1 INTRODUCTION
    LIMITATIONS
  • 13.2 GRAPH DATABASE MARKET - GLOBAL FORECAST TO 2030
    MARKET DEFINITION
    MARKET OVERVIEW
    - Graph database market, by offering
    - Graph database market, by model type
    - Graph database market, by application
    - Graph database market, by vertical
    - Graph database market, by region
  • 13.3 ENTERPRISE CONTENT MANAGEMENT MARKET - GLOBAL FORECAST TO 2029
    MARKET DEFINITION
    MARKET OVERVIEW
    - Enterprise content management market, by offering
    - Enterprise content management market, by business function
    - Enterprise content management market, by deployment mode
    - Enterprise content management market, by organization size
    - Enterprise content management market, by vertical
    - Enterprise content management market, by region
  • 13.4 GENERATIVE AI MARKET – GLOBAL FORECAST TO 2030
    MARKET DEFINITION
    MARKET OVERVIEW
    - Generative AI market, by offering
    - Generative AI market, by data modality
    - Generative AI market, by application
    - Generative AI market, by end user
    - Generative AI market, by region
APPENDIX
349
  • 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, 2025–2026
  • 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): KNOWLEDGE GRAPH MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 38 RESOURCE DESCRIPTION FRAMEWORK (RDF): 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 GRAPHWISE: DEALS
  • TABLE 281 RELATIONALAI: COMPANY OVERVIEW
  • TABLE 282 RELATIONALAI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 283 RELATIONALAI: PRODUCT LAUNCHES
  • TABLE 284 IBM: COMPANY OVERVIEW
  • TABLE 285 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 286 IBM: PRODUCT ENHANCEMENTS
  • TABLE 287 IBM: DEALS
  • TABLE 288 MICROSOFT: COMPANY OVERVIEW
  • TABLE 289 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 290 MICROSOFT: PRODUCT ENHANCEMENTS
  • TABLE 291 MICROSOFT: DEALS
  • TABLE 292 SAP: COMPANY OVERVIEW
  • TABLE 293 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 294 SAP: PRODUCT ENHANCEMENTS
  • TABLE 295 ORACLE: COMPANY OVERVIEW
  • TABLE 296 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 297 ORACLE: PRODUCT ENHANCEMENTS
  • TABLE 298 STARDOG: COMPANY OVERVIEW
  • TABLE 299 STARDOG: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 300 STARDOG: PRODUCT ENHANCEMENTS
  • TABLE 301 STARDOG: DEALS
  • TABLE 302 FRANZ INC.: COMPANY OVERVIEW
  • TABLE 303 FRANZ INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 304 FRANZ INC.: PRODUCT ENHANCEMENTS
  • TABLE 305 ALTAIR: COMPANY OVERVIEW
  • TABLE 306 ALTAIR: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 307 ALTAIR: PRODUCT ENHANCEMENTS
  • TABLE 308 ALTAIR: DEALS
  • TABLE 309 ADJACENT REPORTS
  • TABLE 310 GRAPH DATABASE MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 311 GRAPH DATABASE MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 312 GRAPH DATABASE MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 313 GRAPH DATABASE MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 314 GRAPH DATABASE MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 315 GRAPH DATABASE MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 316 GRAPH DATABASE MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 317 GRAPH DATABASE MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 318 GRAPH DATABASE MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 319 GRAPH DATABASE MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 320 ENTERPRISE CONTENT MANAGEMENT MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 321 ENTERPRISE CONTENT MANAGEMENT MARKET, BY OFFERING, 2024–2029 (USD MILLION)
  • TABLE 322 ENTERPRISE CONTENT MANAGEMENT MARKET, BY BUSINESS FUNCTION, 2019–2023 (USD MILLION)
  • TABLE 323 ENTERPRISE CONTENT MANAGEMENT MARKET, BY BUSINESS FUNCTION, 2024–2029 (USD MILLION)
  • TABLE 324 ENTERPRISE CONTENT MANAGEMENT MARKET, BY DEPLOYMENT MODE, 2019–2023 (USD MILLION)
  • TABLE 325 ENTERPRISE CONTENT MANAGEMENT MARKET, BY DEPLOYMENT MODE, 2024–2029 (USD MILLION)
  • TABLE 326 ENTERPRISE CONTENT MANAGEMENT MARKET, BY ORGANIZATION SIZE, 2019–2023 (USD MILLION)
  • TABLE 327 ENTERPRISE CONTENT MANAGEMENT MARKET, BY ORGANIZATION SIZE, 2024–2029 (USD MILLION)
  • TABLE 328 ENTERPRISE CONTENT MANAGEMENT MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 329 ENTERPRISE CONTENT MANAGEMENT MARKET, BY VERTICAL, 2024–2029 (USD MILLION)
  • TABLE 330 ENTERPRISE CONTENT MANAGEMENT MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 331 ENTERPRISE CONTENT MANAGEMENT MARKET, BY REGION, 2024–2029 (USD MILLION)
  • TABLE 332 GENERATIVE AI MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 333 GENERATIVE AI MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 334 GENERATIVE AI MARKET, BY DATA MODALITY, 2019–2023 (USD MILLION)
  • TABLE 335 GENERATIVE AI MARKET, BY DATA MODALITY, 2024–2030 (USD MILLION)
  • TABLE 336 GENERATIVE AI MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 337 GENERATIVE AI MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 338 GENERATIVE AI MARKET, BY END USER, 2019–2023 (USD MILLION)
  • TABLE 339 GENERATIVE AI MARKET, BY END USER, 2024–2030 (USD MILLION)
  • TABLE 340 GENERATIVE AI MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 341 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, 2023
  • 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 RESOURCE DESCRIPTION FRAMEWORK (RDF) 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 KEY COUNTRY, 2023 (USD)
  • 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 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 (USD MILLION)
  • 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

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 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, vertical, 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™
"Our USP is "providing game-changing business opportunities reports with free customization" - so please feel free to provide us with your specific areas of interest / business challenges in much greater detail !!"

We appreciate your interest in this report. Once you fill out the form, you'll be immediately directed to an exclusive solution tailored to your needs. This high-value offering can help boost your revenue by 30% - a must-see opportunity for anyone looking to maximize growth.


By clicking the "Submit" button, you are agreeing to the Terms of Use and Privacy Policy.

Custom Market Research Services

We Will Customise The Research For You, In Case The Report Listed Above Does Not Meet With Your Requirements

Get 10% Free Customisation

Growth opportunities and latent adjacency in Graph Database Market

DMCA.com Protection Status