세계의 지식 그래프 시장 : 제공 제품별, 유형별, 모델 유형별, 데이터 소스별, 용도별, 업계별 예측(2025-2030년)

The Knowledge Graph Market was valued at USD 1.05 billion in 2023, expected to reach USD 1.24 billion in 2024, and is projected to grow at a CAGR of 17.07%, to USD 3.19 billion by 2030.

A Knowledge Graph is a robust framework designed to understand, represent, and manage structured relationships within diverse datasets, playing an integral role in synthesizing large-scale interconnected systems. The scope includes enhancing decision-making in areas like search engine optimization, personalized recommendation engines, and organizing vast corporate datasets. The necessity of Knowledge Graphs arises from the increasing complexity and volume of data, requiring efficient tools to extract meaningful insights, streamline operations, and foster innovation. Their application spans across industries, from healthcare, where they help in linking patient records with treatment outcomes, to finance, enabling risk assessment by connecting financial transactions and entities. The end-use scope is broad, spanning enterprise data management, customer behavior analysis, and improving AI systems' understanding and contextual reasoning capabilities. Growth in this market is propelled by advancements in artificial intelligence, particularly in natural language processing and machine learning, coupled with the growing demand for real-time data analytics. Despite these promising opportunities, challenges such as data privacy concerns, integration complexities, and the need for high computational resources may hinder market growth. Opportunities exist in developing more semantic capabilities to create richer data interpretation and investing in edge computing for real-time data processing to mitigate latency issues. Innovations in creating dynamic and self-evolving Knowledge Graphs could revolutionize sectors by offering adaptive frameworks that can self-update with new data inputs, enhancing business agility. Barriers like technical expertise shortages and high implementation costs require strategic partnerships and investment in talent development. The market is currently characterized by rapid technological advancements and increased collaboration among stakeholders, suggesting a strong inclination towards open-source platforms and cloud-based solutions, providing agility and scalability. The focus should remain on bolstering privacy measures and simplifying integration processes to enhance adoption across sectors.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Knowledge Graph Market

The Knowledge Graph Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Growing demand for efficient data integration and effective data management
  • Expanding applications of knowledge graph in healthcare
  • Proliferating use of knowledge graphs in eCommerce sector
• Market Restraints
  • Limited availability of skilled professionals
• Market Opportunities
  • Increased demand for advanced analytics tools
  • Ongoing research to expand use of knowledge graph
• Market Challenges
  • Data privacy and security concerns associated with knowledge graph

Porter's Five Forces: A Strategic Tool for Navigating the Knowledge Graph Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Knowledge Graph Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Knowledge Graph Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Knowledge Graph Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Knowledge Graph Market

A detailed market share analysis in the Knowledge Graph Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Knowledge Graph Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Knowledge Graph Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Knowledge Graph Market

A strategic analysis of the Knowledge Graph Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Knowledge Graph Market, highlighting leading vendors and their innovative profiles. These include AllegroGraph by Franz Inc., Amazon Web Services, Inc., ArangoDB, Cambridge Semantics, Inc., Datavid Limited, Diffbot Technologies Corp., Fluree, Franz Inc., Google LLC by Alphabet Inc., International Business Machines Corporation, Microsoft Corporation, Mitsubishi Electric Corporation, Neo4j, Inc., Ontotext, Oracle Corporation, SciBite Limited, Semantic Web Company, Stardog Union, TIBCO by Cloud Software Group, Inc., TigerGraph, Inc., XenonStack Pvt. Ltd., and Yext, Inc..

Market Segmentation & Coverage

This research report categorizes the Knowledge Graph Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Offering, market is studied across Services and Solutions. The Services is further studied across Managed Services and Professional Services.
• Based on Type, market is studied across Context-rich Knowledge Graphs, External-sensing Knowledge Graphs, and NLP Knowledge Graphs.
• Based on Model Type, market is studied across Conceptual Graph, RDF Graph, and Semantic Graph.
• Based on Data Source, market is studied across Semi-structured Data, Structured Data, and Unstructured Data.
• Based on Application, market is studied across Enterprise Knowledge Management, Question Answering, Recommendation Systems, and Semantic Search.
• Based on Vertical, market is studied across BFSI, Healthcare, IT & ITES, Media & Entertainment, Retail & E-commerce, Transportation & Logistics, and Travel & Hospitality.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Growing demand for efficient data integration and effective data management
    • 5.1.1.2. Expanding applications of knowledge graph in healthcare
    • 5.1.1.3. Proliferating use of knowledge graphs in eCommerce sector
  • 5.1.2. Restraints
    • 5.1.2.1. Limited availability of skilled professionals
  • 5.1.3. Opportunities
    • 5.1.3.1. Increased demand for advanced analytics tools
    • 5.1.3.2. Ongoing research to expand use of knowledge graph
  • 5.1.4. Challenges
    • 5.1.4.1. Data privacy and security concerns associated with knowledge graph
• 5.2. Market Segmentation Analysis
  • 5.2.1. Offering: Potential use of knowledge graph solutions to address multi-layered business challenges
  • 5.2.2. Type: NLP knowledge graphs leverage the prowess of Natural Language Processing to interpret human language data
  • 5.2.3. Application: High adoption of knowledge graph in enterprise knowledge management applications
  • 5.2.4. Vertical: Significant demand for knowledge graph in the healthcare sector
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Knowledge Graph Market, by Offering

• 6.1. Introduction
• 6.2. Services
  • 6.2.1. Managed Services
  • 6.2.2. Professional Services
• 6.3. Solutions

7. Knowledge Graph Market, by Type

• 7.1. Introduction
• 7.2. Context-rich Knowledge Graphs
• 7.3. External-sensing Knowledge Graphs
• 7.4. NLP Knowledge Graphs

8. Knowledge Graph Market, by Model Type

• 8.1. Introduction
• 8.2. Conceptual Graph
• 8.3. RDF Graph
• 8.4. Semantic Graph

9. Knowledge Graph Market, by Data Source

• 9.1. Introduction
• 9.2. Semi-structured Data
• 9.3. Structured Data
• 9.4. Unstructured Data

10. Knowledge Graph Market, by Application

• 10.1. Introduction
• 10.2. Enterprise Knowledge Management
• 10.3. Question Answering
• 10.4. Recommendation Systems
• 10.5. Semantic Search

11. Knowledge Graph Market, by Vertical

• 11.1. Introduction
• 11.2. BFSI
• 11.3. Healthcare
• 11.4. IT & ITES
• 11.5. Media & Entertainment
• 11.6. Retail & E-commerce
• 11.7. Transportation & Logistics
• 11.8. Travel & Hospitality

12. Americas Knowledge Graph Market

• 12.1. Introduction
• 12.2. Argentina
• 12.3. Brazil
• 12.4. Canada
• 12.5. Mexico
• 12.6. United States

13. Asia-Pacific Knowledge Graph Market

• 13.1. Introduction
• 13.2. Australia
• 13.3. China
• 13.4. India
• 13.5. Indonesia
• 13.6. Japan
• 13.7. Malaysia
• 13.8. Philippines
• 13.9. Singapore
• 13.10. South Korea
• 13.11. Taiwan
• 13.12. Thailand
• 13.13. Vietnam

14. Europe, Middle East & Africa Knowledge Graph Market

• 14.1. Introduction
• 14.2. Denmark
• 14.3. Egypt
• 14.4. Finland
• 14.5. France
• 14.6. Germany
• 14.7. Israel
• 14.8. Italy
• 14.9. Netherlands
• 14.10. Nigeria
• 14.11. Norway
• 14.12. Poland
• 14.13. Qatar
• 14.14. Russia
• 14.15. Saudi Arabia
• 14.16. South Africa
• 14.17. Spain
• 14.18. Sweden
• 14.19. Switzerland
• 14.20. Turkey
• 14.21. United Arab Emirates
• 14.22. United Kingdom

15. Competitive Landscape

• 15.1. Market Share Analysis, 2023
• 15.2. FPNV Positioning Matrix, 2023
• 15.3. Competitive Scenario Analysis
  • 15.3.1. Ontotext and Ontopic Join Forces to Revolutionize Data Virtualization
  • 15.3.2. Foursquare Launches its Geospatial Knowledge Graph
  • 15.3.3. Kobai Launches Saturn Knowledge Graph to Query Data at Lakehouse Scale
• 15.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. AllegroGraph by Franz Inc.
• 2. Amazon Web Services, Inc.
• 3. ArangoDB
• 4. Cambridge Semantics, Inc.
• 5. Datavid Limited
• 6. Diffbot Technologies Corp.
• 7. Fluree
• 8. Franz Inc.
• 9. Google LLC by Alphabet Inc.
• 10. International Business Machines Corporation
• 11. Microsoft Corporation
• 12. Mitsubishi Electric Corporation
• 13. Neo4j, Inc.
• 14. Ontotext
• 15. Oracle Corporation
• 16. SciBite Limited
• 17. Semantic Web Company
• 18. Stardog Union
• 19. TIBCO by Cloud Software Group, Inc.
• 20. TigerGraph, Inc.
• 21. XenonStack Pvt. Ltd.
• 22. Yext, Inc.