Enterprise Knowledge Graph Global Market Report 2025
상품코드:1816811
리서치사:The Business Research Company
발행일:On Demand Report
페이지 정보:영문 250 Pages
라이선스 & 가격 (부가세 별도)
ㅁ Add-on 가능: 고객의 요청에 따라 일정한 범위 내에서 Customization이 가능합니다. 자세한 사항은 문의해 주시기 바랍니다.
ㅁ 보고서에 따라 최신 정보로 업데이트하여 보내드립니다. 배송기일은 문의해 주시기 바랍니다.
한글목차
기업 지식 그래프 시장 규모는 앞으로 수년간 비약적인 성장이 예상됩니다. 2029년에 CAGR은 24.3%를 나타낼 것으로 예측되고 35억 4,000만 달러로 성장할 전망입니다. 예측 기간 동안의 성장은 데이터 통합에 대한 수요 증가, 향상된 데이터 분석에 대한 필요성 증대, 인공지능 도입 확대, 데이터 정확도 개선에 주력하는 관심 증가, 기업 데이터 아키텍처에 대한 투자 확대 등에 기인합니다. 예측 기간의 주요 동향에는 기술적 발전, 그래프 데이터베이스 도입, AI와의 통합, 클라우드 기반 솔루션, 하이브리드 그래프 모델, 블록체인 기술이 포함됩니다.
향후 5년간 24.3% 성장이라는 예측치는 이전 전망 대비 0.1% 소폭 하락한 수치입니다. 이 하락은 주로 미국과 타국 간 관세 영향 때문입니다. 미국은 독일과 인도에서 개발된 AI 촉진 데이터 통합 소프트웨어, 시맨틱 태깅 도구, 클라우드 API에 대한 관세로 인해 플랫폼 비용이 상승할 수 있으며, 이는 기업 데이터 구조화에 영향을 미칠 것입니다. 또한 상호 관세 부과와 무역 긴장 및 제한 강화로 인한 전 세계 경제 및 무역에 대한 부정적 영향으로 그 효과가 더 광범위하게 될 것입니다.
클라우드 기반 전개의 확산은 향후 기업 지식 그래프 시장을 촉진할 것으로 예상됩니다. 클라우드 기반 전개란 클라우드 컴퓨팅 플랫폼을 통해 인터넷 상에서 소프트웨어 용도, 서비스 또는 자원을 호스팅 및 제공하는 방식으로, 사용자가 원격으로 접근 및 관리할 수 있게 합니다. 이 방식의 인기는 확장성, 비용 효율성, 자원 및 서비스에 대한 유연한 온디맨드 접근 제공 능력에서 비롯됩니다. 기업 지식 그래프는 분산 시스템 전반에 걸쳐 구조화 및 비구조화 데이터의 통합, 관리, 검색을 가능하게 하여 클라우드 환경 내 데이터 접근성, 상호운용성 및 의사결정을 향상시키므로 클라우드 기반 전개의 핵심 요소입니다. 예를 들어, 2023년 12월 유럽연합 통계청(Eurostat)은 EU 기업의 약 45.2%가 주로 이메일 호스팅, 파일 저장 및 기타 운영 업무를 위해 클라우드 컴퓨팅 서비스를 이용하고 있다고 보고했으며, 이는 2021년 대비 4.2% 포인트 증가한 수치입니다. 또한 2023년 가장 많이 구매된 클라우드 서비스는 이메일(82.7%)이었으며, 파일 저장(68.0%)과 오피스 소프트웨어(66.3%)가 그 뒤를 이었습니다. 따라서 클라우드 기반 전개의 확산은 기업 지식 그래프 시장 확장에 기여하고 있습니다.
목차
제1장 주요 요약
제2장 시장 특징
제3장 시장 동향과 전략
제4장 시장 - 거시경제 시나리오 금리, 인플레이션, 지정학, 무역전쟁과 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오
제5장 세계의 성장 분석과 전략 분석 프레임워크
세계의 기업 지식 그래프 : PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 촉진요인과 억제요인)
최종 이용 산업의 분석
세계의 기업 지식 그래프 시장 : 성장률 분석
세계의 기업 지식 그래프 시장 실적 : 규모와 성장(2019-2024년)
세계의 기업 지식 그래프 시장 예측 : 규모와 성장(2024-2029년, 2034년)
세계의 기업 지식 그래프 : 총 잠재시장 규모(TAM)
제6장 시장 세분화
세계의 기업 지식 그래프 시장 : 유형별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
컨텍스트 리치
외부 센싱
자연어 처리(NLP)
세계의 기업 지식 그래프 시장 : 태스크 유형별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
링크 예측
주체 해결
링크 기반 클러스터링
세계의 기업 지식 그래프 시장 : 용도별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
시맨틱 검색
추천 시스템
데이터 통합
지식 관리
인공지능 및 머신러닝
세계의 기업 지식 그래프 시장 : 최종 사용자별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
헬스케어
전자상거래와 소매
은행/금융서비스/보험
정부
제조업
운송 및 물류
기타 최종 사용자
세계의 기업 지식 그래프 시장, 컨텍스트 리치 유형별 세분화 : 분석과 예측(2019-2024년, 2024-2029년, 2034년)
도메인별 지식 그래프
개인화 지식 그래프
업계 고유 지식 그래프
컨텍스트 인식형 추천 시스템
컨텍스트 구동형 검색 및 발견 그래프
세계의 기업 지식 그래프 시장, 외부 센싱 유형별 세분화 : 분석과 예측(2019-2024년, 2024-2029년, 2034년)
실시간 데이터 통합 그래프
IoT 구동형 지식 그래프
소셜 미디어와 웹 데이터 통합 그래프
지식 강화를 위한 외부 데이터 소스
시장 정보 및 트렌드 분석 지식 그래프
세계의 기업 지식 그래프 시장, 자연어 처리(NLP) 유형별 세분화 : 분석과 예측(2019-2024년, 2024-2029년, 2034년)
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
다국어 NLP 지식 그래프
질문 응답 시스템 및 대화형 AI 그래프
제7장 지역별, 국가별 분석
세계의 기업 지식 그래프 시장 : 지역별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
세계의 기업 지식 그래프 시장 : 국가별, 분석과 예측(2019-2024년, 2024-2029년, 2034년)
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 프로파일
기업 지식 그래프 시장 : 경쟁 구도
기업 지식 그래프 시장 : 기업 프로파일
Google LLC : 개요, 제품 및 서비스, 전략 및 재무 분석
Microsoft Corporation : 개요, 제품 및 서비스, 전략 및 재무 분석
Amazon Web Services Inc. : 개요, 제품 및 서비스, 전략 및 재무 분석
Accenture plc : 개요, 제품 및 서비스, 전략 및 재무 분석
International Business Machines Corporation : 개요, 제품 및 서비스, 전략 및 재무 분석
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 시장의 잠재력이 높은 국가, 부문, 전략
기업 지식 그래프 시장(2029년) : 새로운 기회를 제공하는 국가
기업 지식 그래프 시장(2029년) : 새로운 기회를 제공하는 부문
기업 지식 그래프 시장(2029년) : 성장 전략
시장 동향에 기초한 전략
경쟁 전략
제36장 부록
HBR
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.
Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.
The sharp rise in U.S. tariffs and the resulting trade tensions in spring 2025 are having a notable impact on the services sector, particularly in business services, IT, and professional consulting. The increased costs of imported technology, office equipment, and critical digital infrastructure are driving up operating expenses for service providers, compelling them to either pass these costs on to clients or absorb the financial strain themselves. Outsourcing firms and IT service providers are grappling with higher hardware costs and supply chain delays, which are disrupting project timelines and squeezing profitability. Furthermore, retaliatory tariffs have weakened demand for U.S.-based professional services in key global markets, slowing export-driven revenues. To navigate these challenges, the sector must focus on accelerating digital transformation, optimizing costs, and strengthening domestic client relationships to sustain growth and remain competitive in an increasingly uncertain trade environment.
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 24.9%. 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 24.3%. 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 forecast of 24.3% growth over the next five years reflects a slight reduction of 0.1% from the previous projection. This reduction is primarily due to the impact of tariffs between the US and other countries. The U.S. may experience elevated platform costs due to tariffs on AI-driven data integration software, semantic tagging tools, and cloud APIs developed in Germany and India, impacting enterprise data structuring. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.
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.
Reasons to Purchase
Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, post-pandemic supply chain realignment, inflation and interest rate fluctuations, and evolving regulatory landscapes.
Create regional and country strategies on the basis of local data and analysis.
Identify growth segments for investment.
Outperform competitors using forecast data and the drivers and trends shaping the market.
Understand customers based on the latest market shares.
Benchmark performance against key competitors.
Suitable for supporting your internal and external presentations with reliable high quality data and analysis
Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
All data from the report will also be delivered in an excel dashboard format.
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, including technological disruption, regulatory shifts, and changing consumer preferences? 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
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.
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; 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.
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, Trade Wars and Tariffs, And Covid And Recovery On The Market
4.1. Supply Chain Impact from Tariff War & Trade Protectionism
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
