Enterprise Knowledge Graph Global Market Report 2025
상품코드:1716978
리서치사:The Business Research Company
발행일:On Demand Report
페이지 정보:영문 175 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
엔터프라이즈 지식 그래프 시장 규모는 향후 몇 년 동안 24.4%의 연평균 복합 성장률(CAGR)로 2029년까지 35억 4,000만 달러에 달할 것으로 예측됩니다. 예측 기간 동안의 성장은 데이터 통합에 대한 수요 증가, 데이터 분석 강화에 대한 요구 증가, 인공지능 채택 확대, 데이터 정확도 향상에 대한 관심 증가, 엔터프라이즈 데이터 아키텍처에 대한 투자 확대에 기인하는 것으로 보입니다. 예측 기간의 주요 동향으로는 기술 발전, 그래프 데이터베이스 채택, AI와의 통합, 클라우드 기반 솔루션, 하이브리드 그래프 모델, 블록체인 기술 등을 꼽을 수 있습니다.
클라우드 기반 도입 증가는 향후 몇 년 동안 엔터프라이즈 지식 그래프 시장의 성장을 가속할 것으로 예측됩니다. 클라우드 기반 배포는 클라우드 컴퓨팅 플랫폼을 통해 인터넷에서 소프트웨어 용도, 서비스 또는 리소스를 호스팅하고 제공하여 사용자가 원격으로 액세스하고 관리할 수 있도록 하는 것을 말합니다. 이 방식은 확장성, 비용 효율성, 리소스 및 서비스에 대한 유연한 온디맨드 액세스가 가능하기 때문에 점점 더 인기를 얻고 있습니다. 엔터프라이즈 지식 그래프는 분산된 시스템 전반의 정형 및 비정형 데이터를 통합, 관리, 검색하고 클라우드 환경 내에서 데이터 접근성, 상호운용성, 의사결정을 강화하기 때문에 클라우드 기반 구축의 핵심이 됩니다. 예를 들어, 유럽연합(EU) 통계청인 유로스타트(Eurostat)는 2023년 12월 EU 기업의 약 45.2%가 주로 이메일 호스팅, 파일 저장 및 기타 운영 작업을 위해 클라우드 컴퓨팅 서비스를 이용하고 있으며, 2021년 이후 4.2% 포인트 상승했다고 보고했습니다. 포인트 상승한 것으로 나타났습니다. 또한, 2023년에 가장 많이 구매한 클라우드 서비스는 이메일(82.7%), 파일 스토리지(68.0%), 오피스 소프트웨어(66.3%)가 그 뒤를 이었습니다. 따라서 클라우드 기반 배포의 채택 확대가 엔터프라이즈 지식 그래프 시장 확대에 기여하고 있습니다.
엔터프라이즈 지식 그래프 시장의 주요 기업들은 데이터 관리를 강화하고, 의사결정을 개선하며, 더 나은 비즈니스 성과를 달성하기 위해 AI 기반 기술을 포함한 첨단 솔루션 개발에 주력하고 있습니다. 이러한 AI 기반 솔루션은 인공지능 기술을 활용하여 기업의 지식 그래프 내 데이터를 분석 및 관리하고, 데이터 통합, 엔티티 인식, 관계 발견, 시맨틱 검색 강화, 예측 분석을 촉진합니다. 이를 통해 궁극적으로 조직의 의사결정과 데이터에 대한 접근성을 강화할 수 있습니다. 예를 들어, 미국 기술 기업 RelationalAI는 2024년 6월 Snowflake 사용자를 위한 Knowledge Graph Coprocessor(지식 그래프 코프로세서)를 발표했습니다. 이 솔루션을 통해 조직은 직원, 제품, 고객 360, 고급 분석, 자연어 검색 등의 이용 사례를 신속하게 조사할 수 있습니다. 지식그래프 액셀러레이터는 지식그래프를 활용하여 통찰력을 높이고 의사결정 프로세스를 간소화하는 조직에 필수적인 솔루션입니다.
목차
제1장 주요 요약
제2장 시장 특징
제3장 시장 동향과 전략
제4장 시장 - 거시경제 시나리오 금리, 인플레이션, 지정학, 신형 코로나바이러스 영향과 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오
제5장 세계의 성장 분석과 전략 분석 프레임워크
세계 엔터프라이즈 지식 그래프 PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 촉진요인과 억제요인)
최종 이용 산업 분석
세계의 엔터프라이즈 지식 그래프 시장 : 성장률 분석
세계의 엔터프라이즈 지식 그래프 시장 실적 : 규모와 성장, 2019-2024
세계의 엔터프라이즈 지식 그래프 시장 예측 : 규모와 성장, 2024-2029, 2034F
세계 엔터프라이즈 지식 그래프 전체 시장(TAM)
제6장 시장 세분화
세계의 엔터프라이즈 지식 그래프 시장 : 유형별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
Context-Rich
External-Sensing
자연언어처리
세계의 엔터프라이즈 지식 그래프 시장 : 태스크 유형별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
Link Prediction
Entity Resolution
Link-Based Clustering
세계의 엔터프라이즈 지식 그래프 시장 : 용도별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
시맨틱 검색
추천 시스템
데이터 통합
지식 관리
인공지능 및 머신러닝
세계의 엔터프라이즈 지식 그래프 시장 : 최종사용자별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
헬스케어
E-Commerce 및 소매
은행, 금융서비스 및 보험(BFSI)
정부
제조업
운송 및 물류
기타 최종사용자
세계의 엔터프라이즈 지식 그래프 시장 : Context-Rich별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
도메인 고유 지식 그래프
맞춤형 지식 그래프
업계 고유 지식 그래프
상황 인식형 추천 시스템
컨텍스트 기반 검색 및 발견 그래프
세계의 엔터프라이즈 지식 그래프 시장 : External-Sensing별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
실시간 데이터 통합 그래프
IoT 구동형 지식 그래프
소셜미디어 및 웹 데이터 통합 그래프
지식 강화를 위한 외부 데이터 소스
시장 정보와 동향 분석을 위한 지식 그래프
세계의 엔터프라이즈 지식 그래프 시장 : 자연언어처리(NLP)별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
텍스트 마이닝 및 문서 분석 그래프
감정 분석 및 의견 마이닝 그래프
엔티티 인식 및 관계 추출 그래프
NLP를 활용한 검색 및 지식 발견 그래프
다언어 NLP 지식 그래프
질문 응답 시스템 및 대화형 AI 그래프
제7장 지역별/국가별 분석
세계의 엔터프라이즈 지식 그래프 시장 : 지역별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
세계의 엔터프라이즈 지식 그래프 시장 : 국가별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
제8장 아시아태평양 시장
제9장 중국 시장
제10장 인도 시장
제11장 일본 시장
제12장 호주 시장
제13장 인도네시아 시장
제14장 한국 시장
제15장 서유럽 시장
제16장 영국 시장
제17장 독일 시장
제18장 프랑스 시장
제19장 이탈리아 시장
제20장 스페인 시장
제21장 동유럽 시장
제22장 러시아 시장
제23장 북미 시장
제24장 미국 시장
제25장 캐나다 시장
제26장 남미 시장
제27장 브라질 시장
제28장 중동 시장
제29장 아프리카 시장
제30장 경쟁 구도와 기업 개요
엔터프라이즈 지식 그래프 시장 : 경쟁 구도
엔터프라이즈 지식 그래프 시장 : 기업 개요
Google LLC Overview, Products and Services, Strategy and Financial Analysis
Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
Accenture plc Overview, Products and Services, Strategy and Financial Analysis
International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
제31장 기타 주요 기업 및 혁신 기업
Oracle Corporation
SAP SE
Cognizant Technology Solutions Corporation
Infosys Limited
TIBCO Software Inc.
Neo4j Inc.
DataStax Inc.
Mindtickle Inc.
Semantic Web Company
BenevolentAI Ltd.
Cambridge Semantics Inc.
Yewno Inc.
Informatica LLC
TigerGraph Inc.
TopQuadrant Inc.
제32장 세계 시장 경쟁 벤치마킹과 대시보드
제33장 주요 인수합병(M&A)
제34장 최근 시장 동향
제35장 시장 잠재력이 높은 국가, 부문, 전략
엔터프라이즈 지식 그래프 시장(2029년) : 새로운 기회를 제공하는 국가
엔터프라이즈 지식 그래프 시장(2029년) : 새로운 기회를 제공하는 부문
엔터프라이즈 지식 그래프 시장(2029년) : 성장 전략
시장 동향에 근거한 전략
경쟁 전략
제36장 부록
LSH
영문 목차
영문목차
An enterprise knowledge graph is a structured representation of an organization's data and knowledge, linking various data sources, concepts, entities, and relationships within a graph-based model. It unifies information from across the enterprise, making it more accessible and useful for tasks such as search, analytics, decision-making, and AI applications.
The main types of enterprise knowledge graphs include context-rich, external-sensing, and natural language processing-based graphs. Context-rich knowledge graphs combine multiple data sources to offer detailed insights and a comprehensive understanding of data relationships. These graphs are used for tasks such as link prediction, entity resolution, and link-based clustering and are applied in areas such as semantic search, recommendation systems, data integration, knowledge management, as well as artificial intelligence and machine learning. They serve various industries, including healthcare, e-commerce and retail, banking, financial services, and insurance, government, manufacturing, transportation, logistics, and more.
The enterprise knowledge graph market research report is one of a series of new reports from The Business Research Company that provides enterprise knowledge graph market statistics, including enterprise knowledge graph industry global market size, regional shares, competitors with a enterprise knowledge graph market share, detailed enterprise knowledge graph market segments, market trends and opportunities, and any further data you may need to thrive in the enterprise knowledge graph industry. This enterprise knowledge graph market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The enterprise knowledge graph market size has grown exponentially in recent years. It will grow from $1.18 billion in 2024 to $1.48 billion in 2025 at a compound annual growth rate (CAGR) of 24.8%. The growth in the historic period can be attributed to growth in the volume and variety of enterprise data, growth in the number of data-driven business initiatives, growth in the demand for automated data processing, growth in the number of data sources, and increasing adopting advanced data visualization tools.
The enterprise knowledge graph market size is expected to see exponential growth in the next few years. It will grow to $3.54 billion in 2029 at a compound annual growth rate (CAGR) of 24.4%. The growth in the forecast period can be attributed to increasing demand for data integration, rising need for enhanced data analytics, growing adoption of artificial intelligence, rising focus on improving data accuracy, and growing investment in enterprise data architecture. Major trends in the forecast period include technological advancements, adoption of graph databases, integration with AI, cloud-based solutions, hybrid graph models, and blockchain technology.
The increasing adoption of cloud-based deployment is expected to drive the growth of the enterprise knowledge graph market in the coming years. Cloud-based deployment refers to the hosting and delivery of software applications, services, or resources over the internet via cloud computing platforms, allowing users to access and manage them remotely. The rising popularity of this method is due to its scalability, cost-effectiveness, and ability to provide flexible, on-demand access to resources and services. Enterprise knowledge graphs are key to cloud-based deployment as they enable the integration, management, and retrieval of both structured and unstructured data across distributed systems, enhancing data accessibility, interoperability, and decision-making within cloud environments. For instance, in December 2023, Eurostat, the statistical office of the European Union, reported that approximately 45.2% of EU enterprises utilized cloud computing services, primarily for email hosting, file storage, and other operational tasks, marking a 4.2 percentage point rise since 2021. Additionally, in 2023, the most commonly purchased cloud services were email (82.7%), followed by file storage (68.0%) and office software (66.3%). Therefore, the growing adoption of cloud-based deployment is contributing to the expansion of the enterprise knowledge graph market.
Leading companies in the enterprise knowledge graph market are concentrating on developing advanced solutions, including AI-based technologies, to enhance data management, improve decision-making, and achieve better business outcomes. These AI-driven solutions utilize artificial intelligence techniques to analyze and manage data within enterprise knowledge graphs, facilitating data integration, entity recognition, relationship discovery, enhanced semantic search, and predictive analytics. This ultimately enhances decision-making and data accessibility for organizations. For example, in June 2024, RelationalAI, a US-based technology firm, introduced the Knowledge Graph Coprocessor for Snowflake users, a powerful new solution designed to assist organizations in building their first knowledge graph in just a few weeks. This offering enables organizations to quickly explore use cases such as Employee, Product, Customer 360, Advanced Analytics, and Natural Language Search. The Knowledge Graph Accelerator is essential for organizations that utilize knowledge graphs to improve insights and streamline their decision-making processes.
In February 2024, the Object Management Group (OMG), a U.S.-based not-for-profit technology standards consortium, acquired the Enterprise Knowledge Graph Foundation (EKGF) for an undisclosed amount. This acquisition aims to advance the development of semantic standards for data management and promote best practices for deploying enterprise knowledge graphs. Integrating EKGF into OMG is expected to strengthen the community and enhance its resource repository, supporting the growth and adoption of enterprise knowledge graphs (EKGs) across different industries. EKGF is an independent, U.S.-based non-profit organization that provides knowledge graph platforms.
Major companies operating in the enterprise knowledge graph market are Google LLC, Microsoft Corporation, Amazon Web Services Inc., Accenture plc, International Business Machines Corporation, Oracle Corporation, SAP SE, Cognizant Technology Solutions Corporation, Infosys Limited, TIBCO Software Inc., Neo4j Inc., DataStax Inc., Mindtickle Inc., Semantic Web Company, BenevolentAI Ltd., Cambridge Semantics Inc., Yewno Inc., Informatica LLC, TigerGraph Inc., TopQuadrant Inc., Ontotext AD, Stardog Union Inc., Expert System S.p.A., Franz Inc.
North America was the largest region in the enterprise knowledge graph market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the enterprise knowledge graph market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the enterprise knowledge graph market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The enterprise knowledge graph market consists of revenues earned by entities by providing services such as consulting and strategy development, data integration and ingestion, ontology and schema design, custom knowledge graph development and graph analytics. The market value includes the value of related goods sold by the service provider or included within the service offering. The enterprise knowledge graph market also includes sales of graph database platforms, semantic search engines, graph visualization tools, graph analytics and query engines. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
Enterprise Knowledge Graph Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on enterprise knowledge graph market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Where is the largest and fastest growing market for enterprise knowledge graph ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The enterprise knowledge graph market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
The market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:
The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.
Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:1) By Type: Context-Rich; External-Sensing; Natural Language Processing
2) By Task Type: Link Prediction; Entity Resolution; Link-Based Clustering
3) By Application: Semantic Search; Recommendation Systems; Data Integration; Knowledge Management; Artificial Intelligence And Machine Learning
4) By End-User: Healthcare; E-Commerce And Retail; Banking, Financial Services, And Insurance; Government; Manufacturing; Transportation And Logistics; Other End Users
Subsegments:
1) By Context-Rich: Domain-Specific Knowledge Graphs; Personalized Knowledge Graphs; Industry-Specific Knowledge Graphs; Context-Aware Recommendation Systems; Context-Driven Search and Discovery Graphs
2) By External-Sensing: Real-Time Data Integration Graphs; IoT-Driven Knowledge Graphs; Social Media And Web Data Integration Graphs; External Data Sources For Knowledge Enrichment; Knowledge Graphs For Market Intelligence And Trend Analysis
3) By Natural Language Processing (NLP): Text Mining And Document Analysis Graphs; Sentiment Analysis And Opinion Mining Graphs; Entity Recognition And Relationship Extraction Graphs; NLP-Powered Search And Knowledge Discovery Graphs; Multilingual NLP Knowledge Graphs; Question-Answering Systems And Conversational AI Graphs
Companies Mentioned: Google LLC; Microsoft Corporation; Amazon Web Services Inc.; Accenture plc; International Business Machines Corporation
3. Enterprise Knowledge Graph Market Trends And Strategies
4. Enterprise Knowledge Graph Market - Macro Economic Scenario Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics And Covid And Recovery On The Market
5. Global Enterprise Knowledge Graph Growth Analysis And Strategic Analysis Framework
5.1. Global Enterprise Knowledge Graph PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
5.2. Analysis Of End Use Industries
5.3. Global Enterprise Knowledge Graph Market Growth Rate Analysis
5.4. Global Enterprise Knowledge Graph Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
5.5. Global Enterprise Knowledge Graph Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
5.6. Global Enterprise Knowledge Graph Total Addressable Market (TAM)
6. Enterprise Knowledge Graph Market Segmentation
6.1. Global Enterprise Knowledge Graph Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Context-Rich
External-Sensing
Natural Language Processing
6.2. Global Enterprise Knowledge Graph Market, Segmentation By Task Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Link Prediction
Entity Resolution
Link-Based Clustering
6.3. Global Enterprise Knowledge Graph Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Semantic Search
Recommendation Systems
Data Integration
Knowledge Management
Artificial Intelligence And Machine Learning
6.4. Global Enterprise Knowledge Graph Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Healthcare
E-Commerce And Retail
Banking, Financial Services, And Insurance
Government
Manufacturing
Transportation And Logistics
Other End Users
6.5. Global Enterprise Knowledge Graph Market, Sub-Segmentation Of Context-Rich, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Domain-Specific Knowledge Graphs
Personalized Knowledge Graphs
Industry-Specific Knowledge Graphs
Context-Aware Recommendation Systems
Context-Driven Search and Discovery Graphs
6.6. Global Enterprise Knowledge Graph Market, Sub-Segmentation Of External-Sensing, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Real-Time Data Integration Graphs
IoT-Driven Knowledge Graphs
Social Media And Web Data Integration Graphs
External Data Sources For Knowledge Enrichment
Knowledge Graphs For Market Intelligence And Trend Analysis
6.7. Global Enterprise Knowledge Graph Market, Sub-Segmentation Of Natural Language Processing (NLP), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Text Mining And Document Analysis Graphs
Sentiment Analysis And Opinion Mining Graphs
Entity Recognition And Relationship Extraction Graphs
NLP-Powered Search And Knowledge Discovery Graphs
Multilingual NLP Knowledge Graphs
Question-Answering Systems And Conversational AI Graphs
7. Enterprise Knowledge Graph Market Regional And Country Analysis
7.1. Global Enterprise Knowledge Graph Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
7.2. Global Enterprise Knowledge Graph Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
