Knowledge Graph Market

Report Code TC 8832
Published in Jan, 2025, By MarketsandMarkets™
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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

 

Overview

The knowledge graph market is estimated to be worth USD 1,068.4 million in 2024 and is projected to reach USD 6,938.4 million by 2030 at a Compound Annual Growth Rate (CAGR) of 36.6 % during the same period. Knowledge graphs help organizations map and understand the customer journey by combining information from multiple touchpoints, such as website interactions, social media, purchase history, and customer support. These links and context create a holistic view of customer behavior and preferences. This helps businesses understand the patterns and predict the needs of their customers to provide personalized experiences at each stage of the customer lifecycle. These connections give insights that help make more effective marketing strategies, improve targeting, and optimize service delivery. All this results in improved customer satisfaction and loyalty.

Knowledge Graph Market

Attractive Opportunities in the Knowledge Graph Market

NORTH AMERICA

North America's strong AI and ML investments drive knowledge graph use in chatbots, recommendations, and fraud detection.

Technological advancements such as NLP, Gen AI, and cloud computing will revolutionize the knowledge graph in BFSI & manufacturing & automotive sector.

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

North America's robust cloud infrastructure accelerate knowledge graph deployment.

The North American knowledge graph market is projected to grow from USD 336.5 million in 2024 to USD 1,985.1 million by 2030, at a CAGR of 34.4%.

Impact of AI on Knowledge Graph Market

The generative AI greatly improves knowledge graph applications with its transformative capabilities. The advent of AI and Generative AI into the Knowledge Graph market increases personalized learning and recommendations by using vast datasets to customize educational experiences. The knowledge graphs analyze users' behavior, preferences, and interactions, which helps the platforms deliver personalized content that fits users' individual learning needs. Knowledge graphs, for instance, link eLearning platforms to relevant resources and peers for a conducive learning environment in these platforms. This personalized approach greatly increases participation and retention rates through consistency with individual interests and targets in learning. In addition to personalized learning, AI and generative AI remarkably improve information retrieval and search capabilities within knowledge graphs. By understanding the relationships among various entities, these technologies enhance the contextualizing ability of search engines and usually avoid the mere delivery of lists of links. For instance, Google's Knowledge Graph queries yield answers and additional information directly related to users' questions, making searches easier. Moreover, intelligent content generation enables companies to rapidly create and deliver dynamic responses and summaries from complex datasets so that users can find requisite information easily. This functionality is especially helpful in sectors like healthcare and finance, where timely access to correct data is critically important for decision-making.

Knowledge Graph Market Impact

Global Knowledge Graph Market Dynamics

Driver: Rapid Growth in Data Volume and Complexity

The knowledge graph market benefits the most from fast-growing data volume and complexity. Business activities continually produce vast amounts of structured and unstructured data concerning social media, IoT devices, and enterprise systems. Ever-unresolved issues in typical data management have maintained challenges in data intake and analytics when this kind of data is concerned. In this sense, knowledge graphs may offer a solid approach by unifying the most diverse sources in one flexible framework. Real-time information within such systems influences business decisions with new insights. As businesses need to relate big amounts of data, knowledge graphs improve the ability to operate the data by establishing connections between data sets in order to develop a semantic understanding of the matter. Thus, increased demand for knowledge graphs is set to trigger growth in this market in various corporate sectors.

Restraint: Data Quality and Integration Challenges

Data quality and integration challenges are major obstacles in the knowledge graph market. Integration from heterogeneous data sources into a knowledge graph involves key operations of extraction, resolution, fusion, and quality management, all of which need to be carefully handled to maintain accuracy and reliability. This may result in errors due to poor data quality, specifically by yielding a knowledge graph that is not effective. As organizations scale and new sources of data enter the picture, quality becomes increasingly difficult to manage. Changes to the formats, structures, and semantics of the data may break integration processes and require ongoing / methodological adjustments. Also, the changing nature of business environments require changes in knowledge graphs at moderate intervals to show true information.

 

Opportunity: Data unification and rapid proliferation of knowledge graphs

The proliferation of knowledge graphs is linked to the need to unify data across many industries. Organizations now recognize that good data management needs a unified approach that combines structured and unstructured data from many sources. Knowledge graphs are a strong tool for achieving this unity. Knowledge graphs set up a semantic structure for multiple datasets, enabling companies to handle complex relationships efficiently. This capability adds great value to verticals, such as healthcare, where fragmented data can slow research and clinical decision-making. Knowledge graphs help advanced analytics and machine learning tools find hidden insights and drive innovation by giving a unified view of information. Also, as businesses try to leverage big data to gain a competitive advantage, the demand for knowledge graphs will grow. They make data management smoother and help teams work better by providing a streamlined data management process for a shared understanding of information across departments. This shift toward unifying data through knowledge graphs changes how companies work and make decisions in a world that relies more and more on data.

Challenge: Standardization and Interoperability

A major challenge facing the knowledge graph market is standardization and interoperability. Without a universally accepted standard for creating and managing a knowledge graph, data yields inconsistencies in representation because of disparate platforms in operation. Such fragmentation doesn't allow organizations to share and integrate knowledge graphs effectively, thus hampers collaboration and data-process sharing. Moreover, various data sources will likely bring different formats, semantics, and ontologies into play. The lack of standardization aggravates the situation when some organizations wonder how to standardize their knowledge graphs so that they can communicate with other systems and applications without creating data silos, leading to lower utility of overall information.

Additionally, with the continuous evolution of industries and the emergence of new technologies, maintaining interconnectedness between legacy systems and modern applications is growing more complex. The main way to counter these challenges is by working toward common industry standards for a framework for the interoperability of the knowledge graph. Such collaboration is expected to enhance data-sharing practices, incentivizing more industries to use knowledge graph technologies and realize their full innovation potential.

Global Knowledge Graph Market Ecosystem Analysis

The prominent players in the Knowledge Graph market IBM Corporation (US), Oracle (US), Microsoft Corporation (US), AWS (US), Neo4j (US), Progress Software (US), TigerGraph (US), Stardog (US), Franz Inc (US), Openlink Software (US), Graphwise (US), Altair (US), Bitnine ( South Korea), ArangoDB (US), Fluree (US), Memgraph (UK), GraphBase (Australia), Metaphacts (Germany), RelationalAI (US), Wisecube (US), Smabbler (Poland), Onlim (Austria), Graphaware (UK), Diffbot (US), Eccenca (Germany), Conversight (US), ESRI (US). These companies have been operating in the market for several years and possess a diversified product portfolio, state-of-the-art technologies, and a well-established geographic footprint. These companies are rigorously working towards the research & development of Knowledge Graph infrastructure.

Top Companies in Knowledge Graph Market
 

Data analytics and business intelligence segment to hold largest market size during forecast period.

Knowledge graphs play an essential role in data analytics and business intelligence by organizing and connecting data to uncover deeper insights. They make it easier to identify trends and support better decision-making, enabling advanced querying, semantic search, and real-time analysis of large datasets. Combining diverse data sources, such as customer behavior and market trends, enhances data discovery, reporting, and predictive analytics. Knowledge graphs also support AI and ML with rich, interconnected data. They simplify data governance and ensure compliance with regulatory standards. In finance, healthcare, and retail sectors, they drive innovation, optimize operations, and enable personalized customer experiences. Moreover, they promote collaboration across teams and agile strategic planning, helping businesses remain competitive in a data-driven landscape.

Manufacturing and automotive segment to witness highest growth rate during forecast period

Knowledge graphs are critical for optimizing operations, improving decision-making, and driving innovation in the manufacturing and automotive verticals. In manufacturing, they integrate data from supply chains, production lines, and maintenance logs to provide real-time insights, enabling predictive maintenance, optimizing workflows, and reducing downtime. They also support product lifecycle management by linking design data, production processes, and quality control, ensuring efficiency and minimizing errors. In the automotive sector, a knowledge graph links disparate data across engineering, the supply chain, and customer feedback, thereby speeding the development of vehicles and accelerating cross-team collaboration. Predictive vehicle maintenance is also supported to anticipate service needs by exploiting historical and real-time data. Additionally, integrating data from connected IoT devices and customer behavior supports knowledge graphs in giving personalized customer experiences, improving after-sales services, and eventually strengthening brand loyalty.

North America to hold largest market share during the forecast period

In North America, there has been an increasing number of projects showcasing the growing use of knowledge graphs and their applications. In September 2023, the US National Science Foundation, in collaboration with five other US government agencies, invested USD 26.7 million in 18 projects through its Building the Prototype Open Knowledge Network (Proto-OKN) program. An open knowledge network is a publicly accessible, interconnected set of data repositories and associated knowledge graphs to enable data-driven, AI-based solutions for a broad set of societal and economic challenges. Similarly, in 2022, The Fuels Knowledge Graph Project (FKGP), funded through the Federal Chief Data Officers (CDO) Council, explored using knowledge graphs to achieve more consistent and reliable fuel management performance measures. The team hypothesized that better performance measures and an interoperable semantic framework could enhance the ability to understand wildfires and improve outcomes. The FKGP team compiled, reviewed, and analyzed multiple agency glossaries and data sources to develop a more systematic and robust characterization of program outcomes. The team examined the relationships between them while documenting the data management necessary for a successful fuel management program.

HIGHEST CAGR MARKET 2024-2030
CANADA: FASTEST- GROWING MARKET IN REGION
Knowledge Graph Market by region

Recent Developments of Knowledge Graph Market

  • In October 2024, Semantic Web Company and Ontotext have merged to form Graphwise, a new entity focused on advancing knowledge graph and AI technologies. The merger combines their expertise in semantic technologies, aiming to deliver innovative solutions for data integration, analytics, and AI-driven insights. This collaboration positions Graphwise as a leader in the knowledge graph market, enhancing its ability to tackle complex data challenges across industries.
  • In April 2024, Altair acquired Cambridge Semantics to enhance its data analytics and AI capabilities. This acquisition integrates Cambridge's graph-powered data fabric technology into Altair's RapidMiner platform, enabling the creation of comprehensive knowledge graphs that improve data management and support generative AI applications.
  • In March 2024, Neo4j announced a collaboration with Microsoft to enhance generative AI and data solutions, leveraging Neo4j's graph technology alongside Microsoft's cloud capabilities to improve data management and analytics for enterprise applications.
  • In October 2023, TigerGraph strengthened its presence in the Asia Pacific region by appointing Pascal as a master distributor, enhancing its distribution network to better serve customers with advanced graph analytics solutions across various industries.

Key Market Players

List of Top Knowledge Graph Market Companies

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

  • IBM Corporation (US)
  • Oracle (US)
  • Microsoft Corporation (US)
  • AWS (US)
  • Neo4j (US)
  • Progress Software (US)
  • TigerGraph (US)
  • Stardog (US)
  • Franz Inc (US)
  • Openlink Software (US)
  • Graphwise (US)
  • Altair (US)
  • Bitnine ( South Korea)
  • ArangoDB (US)
  • Fluree (US)
  • Memgraph (UK)
  • GraphBase (Australia)
  • Metaphacts (Germany)
  • Relational AI (US)
  • Wisecube (US)
  • Smabbler (Poland)
  • Onlim (Austria)
  • Graphaware (UK)
  • Diffbot (US)
  • Eccenca (Germany)
  • Conversight (US)
  • Semantic Web Company (Austria)
  • ESRI (US)

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Scope of the Report

Report Attribute Details
Market size available for years 2019–2030
Base year considered 2024
Forecast period 2024–2030
Forecast units Value (USD Million)
Segments Covered ( solutions (enterprise knowledge graph platform, graph database engine, knowledge management toolset) services ( professional services, managed services) by model type (Resource Description Framework (RDF) Triple Stores, Labeled Property Graph (LPG)) by applications (data governance and master data management, data analytics and business intelligence, knowledge and content management , virtual assistants, self-service data and digital asset discovery, product and configuration management, infrastructure and asset management,  process optimization and resource management, risk management, compliance, regulatory reporting, market and customer intelligence, sales optimization, other applications) by vertical (Banking, Financial Services, and Insurance (BFSI), retail and eCommerce, healthcare, life sciences, and pharmaceuticals telecom and technology, government, manufacturing and automotive, media & entertainment, energy, utilities and infrastructure, travel and hospitality, transportation and logistics, other vertical)
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 Knowledge Graph market?
There are various opportunities in the knowledge graph market, such as data unification, rapid proliferation of knowledge graphs, and increasing adoption in healthcare and life sciences.
What is the definition of the knowledge graph market?
A knowledge graph is a structured representation of interconnected data, where entities (such as people, places, concepts, or objects) are linked through relationships, forming a network of knowledge. It uses a graph structure with nodes (representing entities) and edges (representing relationships between them) to organize and represent complex information. Knowledge graphs enable advanced data querying, semantic search, and analytics by providing a way to model real-world knowledge and their interdependencies. The value of a knowledge graph lies in its ability to integrate principles, data, and relationships to uncover new knowledge and actionable insights for users or businesses. Its design is well-suited for various use cases, such as real-time applications, search and discovery, and grounding generative AI for effective question-answering. It comprises solutions such as enterprise knowledge graph platform, knowledge graph engine, and knowledge management toolset.
Which region is expected to have the largest market share in the knowledge graph market?
North America region will acquire the largest share of the knowledge graph market during the forecast period.
What is the market size of the knowledge graph market?
The knowledge graph market is estimated to be worth USD 1,068.4 million in 2024 and is projected to reach USD 6,938.4 million by 2030, at a CAGR of 36.6% during the same period.
Who are the key players operating in the knowledge graph market?
The key market players profiled in the Knowledge Graph market are IBM Corporation (US), Oracle (US), Microsoft Corporation (US), AWS (US), Neo4j (US), Progress Software (US), TigerGraph (US), Stardog (US), Franz Inc (US), Openlink Software (US), Graphwise (US), Altair (US), Bitnine ( South Korea), ArangoDB (US), Fluree (US), Memgraph (UK), GraphBase (Australia), Metaphacts (Germany), RelationalAI (US), Wisecube (US), Smabbler (Poland), Onlim (Austria), Graphaware (UK), Diffbot (US), Eccenca (Germany), Conversight (US), ESRI (US).
What are the key technology trends prevailing in the knowledge graph market?
The key technology trends in the knowledge graph market include semantic web technologies, gen AI and NLP, and graph databases.

 

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Table Of Contents

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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 SOLUTION
    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, 2024–2025
  • 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 ONTOTEXT’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 TIGERGRAPHS’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: 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: MARKET DRIVERS
  • 7.2 RESOURCE DESCRIPTION FRAMEWORK (RDF) TRIPLE STORES
    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: 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: 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 OF KEY KNOWLEDGE GRAPH SOLUTION PROVIDERS
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
    ONTOTEXT
    - 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
    SEMANTIC WEB COMPANY
    OPENLINK SOFTWARE
  • 12.2 SMES/START-UPS
    DATAVID
    GRAPHBASE
    CONVERSIGHT
    ECCENCA
    ARANGODB
    FLUREE
    DIFFBOT
    BITNINE
    MEMGRAPH
    GRAPHAWARE
    ONLIM
    SMABBLER
    WISECUBE
    METAPHACTS
ADJACENT/RELATED MARKETS
332
  • 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
351
  • 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 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 MARKET
  • TABLE 13 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS (%)
  • TABLE 14 KEY BUYING CRITERIA FOR TOP THREE VERTICALS
  • TABLE 15 MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 16 MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 17 MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 18 KNOWLEDGE GRAPH MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 19 SOLUTIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 20 SOLUTIONS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 21 ENTERPRISE KNOWLEDGE GRAPH PLATFORMS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 22 ENTERPRISE KNOWLEDGE GRAPH PLATFORMS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 23 GRAPH DATABASE ENGINES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 24 GRAPH DATABASE ENGINES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 25 KNOWLEDGE MANAGEMENT TOOLSETS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 26 KNOWLEDGE MANAGEMENT TOOLSETS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 27 MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 28 MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 29 SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 30 SERVICES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 31 PROFESSIONAL SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 32 PROFESSIONAL SERVICES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 33 MANAGED SERVICES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 34 MANAGED SERVICES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 35 KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 36 MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 37 RESOURCE DESCRIPTION FRAMEWORK (RDF) TRIPLE STORES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 38 RESOURCE DESCRIPTION FRAMEWORK (RDF) TRIPLE STORES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 39 LABELED PROPERTY GRAPH (LPG): MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 40 LABELED PROPERTY GRAPH (LPG): MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 41 MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 42 MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 43 DATA GOVERNANCE & MASTER DATA MANAGEMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 44 DATA GOVERNANCE & MASTER DATA MANAGEMENT: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 45 DATA ANALYTICS & BUSINESS INTELLIGENCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 46 DATA ANALYTICS & BUSINESS INTELLIGENCE: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 47 KNOWLEDGE & CONTENT MANAGEMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 48 KNOWLEDGE & CONTENT MANAGEMENT: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 49 VIRTUAL ASSISTANTS, SELF-SERVICE DATA, AND DIGITAL ASSET DISCOVERY: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 50 VIRTUAL ASSISTANTS, SELF-SERVICE DATA, AND DIGITAL ASSET DISCOVERY: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 51 PRODUCT & CONFIGURATION MANAGEMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 52 PRODUCT & CONFIGURATION MANAGEMENT: 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: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 55 PROCESS OPTIMIZATION & RESOURCE MANAGEMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 56 PROCESS OPTIMIZATION & RESOURCE MANAGEMENT: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 57 RISK MANAGEMENT, COMPLIANCE, AND REGULATORY REPORTING: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 58 RISK MANAGEMENT, COMPLIANCE, AND REGULATORY REPORTING: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 59 MARKET & CUSTOMER INTELLIGENCE AND SALES OPTIMIZATION: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 60 MARKET & CUSTOMER INTELLIGENCE AND SALES OPTIMIZATION: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 61 OTHER APPLICATIONS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 62 OTHER APPLICATIONS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 63 MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 64 MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 65 BFSI: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 66 BFSI: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 67 RETAIL & ECOMMERCE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 68 RETAIL & ECOMMERCE: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 69 HEALTHCARE, LIFE SCIENCES, AND PHARMACEUTICALS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 70 HEALTHCARE, LIFE SCIENCES, AND PHARMACEUTICALS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 71 TELECOM & TECHNOLOGY: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 72 TELECOM & TECHNOLOGY: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 73 GOVERNMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 74 GOVERNMENT: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 75 MANUFACTURING & AUTOMOTIVE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 76 MANUFACTURING & AUTOMOTIVE: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 77 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 78 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 79 ENERGY, UTILITIES, AND INFRASTRUCTURE: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 80 ENERGY, UTILITIES, AND INFRASTRUCTURE: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 81 TRAVEL & HOSPITALITY: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 82 TRAVEL & HOSPITALITY: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 83 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 84 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 85 OTHER VERTICALS: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 86 OTHER VERTICALS: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 87 MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 88 MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 89 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 90 NORTH AMERICA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 91 NORTH AMERICA: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 92 NORTH AMERICA: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 93 NORTH AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 94 NORTH AMERICA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 95 NORTH AMERICA: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 96 NORTH AMERICA: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 97 NORTH AMERICA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 98 NORTH AMERICA: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 99 NORTH AMERICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 100 NORTH AMERICA: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 101 NORTH AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 102 NORTH AMERICA: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 103 US: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 104 US: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 105 US: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 106 US: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 107 US: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 108 US: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 109 US: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 110 US: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 111 US: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 112 US: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 113 US: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 114 US: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 115 EUROPE: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 116 EUROPE: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 117 EUROPE: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 118 EUROPE: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 119 EUROPE: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 120 EUROPE: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 121 EUROPE: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 122 EUROPE: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 123 EUROPE: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 124 EUROPE: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 125 EUROPE: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 126 EUROPE: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 127 EUROPE: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 128 EUROPE: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 129 UK: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 130 UK: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 131 UK: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 132 UK: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 133 UK: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 134 UK: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 135 UK: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 136 UK: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 137 UK: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 138 UK: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 139 UK: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 140 UK: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 141 ITALY: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 142 ITALY: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 143 ITALY: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 144 ITALY: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 145 ITALY: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 146 ITALY: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 147 ITALY: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 148 ITALY: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 149 ITALY: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 150 ITALY: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 151 ITALY: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 152 ITALY: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 153 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 154 ASIA PACIFIC: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 155 ASIA PACIFIC: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 156 ASIA PACIFIC: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 157 ASIA PACIFIC: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 158 ASIA PACIFIC: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 159 ASIA PACIFIC: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 160 ASIA PACIFIC: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 161 ASIA PACIFIC: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 162 ASIA PACIFIC: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 163 ASIA PACIFIC: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 164 ASIA PACIFIC: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 165 ASIA PACIFIC: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 166 ASIA PACIFIC: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 167 CHINA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 168 CHINA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 169 CHINA: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 170 CHINA: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 171 CHINA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 172 CHINA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 173 CHINA: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 174 CHINA: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 175 CHINA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 176 CHINA: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 177 CHINA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 178 CHINA: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 179 INDIA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 180 INDIA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 181 INDIA: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 182 INDIA: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 183 INDIA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 184 INDIA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 185 INDIA: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 186 INDIA: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 187 INDIA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 188 INDIA: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 189 INDIA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 190 INDIA: 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: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 193 MIDDLE EAST & AFRICA: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 194 MIDDLE EAST & AFRICA: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 195 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 196 MIDDLE EAST & AFRICA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 197 MIDDLE EAST & AFRICA: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 198 MIDDLE EAST & AFRICA: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 199 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 200 MIDDLE EAST & AFRICA: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 201 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 202 MIDDLE EAST & AFRICA: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 203 MIDDLE EAST & AFRICA: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 204 MIDDLE EAST & AFRICA: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 205 GCC COUNTRIES: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 206 GCC COUNTRIES: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 207 GCC COUNTRIES: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 208 GCC COUNTRIES: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 209 GCC COUNTRIES: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 210 GCC COUNTRIES: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 211 GCC COUNTRIES: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 212 GCC COUNTRIES: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 213 GCC COUNTRIES: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 214 GCC COUNTRIES: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 215 GCC COUNTRIES: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 216 GCC COUNTRIES: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 217 GCC COUNTRIES: MARKET, BY REGION, 2019–2023 (USD MILLION)
  • TABLE 218 GCC COUNTRIES: MARKET, BY REGION, 2024–2030 (USD MILLION)
  • TABLE 219 KSA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 220 KSA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 221 KSA: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 222 KSA: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 223 KSA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 224 KSA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 225 KSA: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 226 KSA: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 227 KSA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 228 KSA: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 229 KSA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 230 KSA: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 231 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 232 LATIN AMERICA: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 233 LATIN AMERICA: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 234 LATIN AMERICA: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 235 LATIN AMERICA: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 236 LATIN AMERICA: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 237 LATIN AMERICA: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 238 LATIN AMERICA: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 239 LATIN AMERICA: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 240 LATIN AMERICA: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 241 LATIN AMERICA: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 242 LATIN AMERICA: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 243 LATIN AMERICA: MARKET, BY COUNTRY, 2019–2023 (USD MILLION)
  • TABLE 244 LATIN AMERICA: MARKET, BY COUNTRY, 2024–2030 (USD MILLION)
  • TABLE 245 BRAZIL: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2019–2023 (USD MILLION)
  • TABLE 246 BRAZIL: MARKET, BY OFFERING, 2024–2030 (USD MILLION)
  • TABLE 247 BRAZIL: MARKET, BY SOLUTION, 2019–2023 (USD MILLION)
  • TABLE 248 BRAZIL: MARKET, BY SOLUTION, 2024–2030 (USD MILLION)
  • TABLE 249 BRAZIL: MARKET, BY SERVICE, 2019–2023 (USD MILLION)
  • TABLE 250 BRAZIL: MARKET, BY SERVICE, 2024–2030 (USD MILLION)
  • TABLE 251 BRAZIL: MARKET, BY MODEL TYPE, 2019–2023 (USD MILLION)
  • TABLE 252 BRAZIL: MARKET, BY MODEL TYPE, 2024–2030 (USD MILLION)
  • TABLE 253 BRAZIL: MARKET, BY APPLICATION, 2019–2023 (USD MILLION)
  • TABLE 254 BRAZIL: MARKET, BY APPLICATION, 2024–2030 (USD MILLION)
  • TABLE 255 BRAZIL: MARKET, BY VERTICAL, 2019–2023 (USD MILLION)
  • TABLE 256 BRAZIL: MARKET, BY VERTICAL, 2024–2030 (USD MILLION)
  • TABLE 257 OVERVIEW OF STRATEGIES ADOPTED BY KEY MARKET VENDORS
  • TABLE 258 KNOWLEDGE GRAPH MARKET: DEGREE OF COMPETITION
  • TABLE 259 MARKET: VERTICAL FOOTPRINT
  • TABLE 260 MARKET: OFFERING FOOTPRINT
  • TABLE 261 MARKET: REGIONAL FOOTPRINT
  • TABLE 262 MARKET: DETAILED LIST OF KEY START-UPS/SMES
  • TABLE 263 MARKET: COMPETITIVE BENCHMARKING OF KEY START-UPS/SMES
  • TABLE 264 MARKET: PRODUCT LAUNCHES & ENHANCEMENTS, APRIL 2022–DECEMBER 2024
  • TABLE 265 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 MARKET
  • FIGURE 4 BOTTOM-UP APPROACH
  • FIGURE 5 DEMAND-SIDE ANALYSIS
  • FIGURE 6 BOTTOM-UP (SUPPLY SIDE) ANALYSIS: COLLECTIVE REVENUE FROM SOLUTIONS/SERVICES OF MARKET
  • FIGURE 7 DATA TRIANGULATION
  • FIGURE 8 KNOWLEDGE GRAPH MARKET, 2022–2030 (USD MILLION)
  • FIGURE 9 MARKET: REGIONAL SNAPSHOT
  • FIGURE 10 GROWING NEED FOR ADVANCED DATA INTEGRATION, CONTEXTUAL INSIGHTS, AND AI-DRIVEN DECISION-MAKING TO DRIVE 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 MARKET: SUPPLY CHAIN ANALYSIS
  • FIGURE 21 KEY PLAYERS IN MARKET ECOSYSTEM
  • FIGURE 22 LIST OF MAJOR PATENTS FOR KNOWLEDGE GRAPH
  • FIGURE 23 PORTER’S FIVE FORCES MODEL: 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 MARKET, 2024
  • FIGURE 39 MARKET RANKING ANALYSIS OF TOP FIVE PLAYERS
  • FIGURE 40 MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2024
  • FIGURE 41 MARKET: COMPANY FOOTPRINT
  • FIGURE 42 MARKET: COMPANY EVALUATION MATRIX (START-UPS/SMES), 2024
  • FIGURE 43 BRAND/PRODUCT COMPARISON
  • FIGURE 44 FINANCIAL METRICS OF KEY 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

 

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 information useful for a technical, market-oriented, and commercial study of the Knowledge graph 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 Knowledge graph solution 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 Knowledge graph market. In the secondary research process, various sources such as JAX Magazine, International Journal Electrical and Computer Engineering (IJECE), and Frontiers have been referred to for identifying and collecting information for this study on the Knowledge graph 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 Knowledge graph service 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 in understanding 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 Knowledge graph services, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of Knowledge graph services which would impact the overall Knowledge graph market.

Knowledge Graph 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 Knowledge graph market. The first approach involves estimating market size by summing up the revenue generated by companies through the sale of Knowledge graph solution and services.

Both top-down and bottom-up approaches were used to estimate and validate the total size of the Knowledge graph 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 Knowledge graph market was divided into several segments and subsegments.

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

Knowledge Graph Market Top Down and Bottom Up Approach

Data Triangulation

After arriving at the overall market size, the Knowledge graph 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 knowledge graph is a type of database 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 scenarios like social networks, recommendation systems, and fraud detection.

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 Knowledge graph market based on offerings, type, application, vertical, and region in terms of value
  • To forecast the segment’s size with respect to five main 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 supply chain and related industry segments and perform a supply chain analysis
  • To strategically analyze macro and micro-markets with respect to 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 as per the company’s specific needs. The following customization options are available for the report:

Geographic Analysis as per Feasibility

  • 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

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

Report Code TC 8832
Published in Oct, 2023, By MarketsandMarkets™

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Growth opportunities and latent adjacency in Knowledge Graph Market

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