Emerging Trends to Reshape the Enterprise Knowledge Graph Market: Generative AI Enhances Enterprise Knowledge Search as a Key Influencer

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Enterprise Knowledge Graph Market Size Valuation Forecast: What Will the Market Be Worth by 2025?
The market size of the enterprise knowledge graph has increased exponentially in the past few years. The market which is currently valued at $1.18 billion in 2024 will surge to $1.48 billion by 2025, recording an impressive compound annual growth rate (CAGR) of 24.9%. Several factors have fueled this growth during the historic period, including the increase in the volume and diversity of enterprise data, a growing number of data-driven business plans, rising demand for automated data processing, a surge in the number of data sources, and a widespread acceptance of highly sophisticated data visualization tools.

Enterprise Knowledge Graph Market Size Forecast: What's the Projected Valuation by 2029?
The market size of the enterprise knowledge graph is predicted to undergo monumental expansion in the coming years to reach $3.54 billion in 2029, with a compound annual growth rate (CAGR) of 24.3%. The surge in this forecast period can be attributed to the escalating demand for data integration, heightened requirement for better data analytics, increasing applicability of artificial intelligence, augmenting emphasis on improving data accuracy and considerable investments in enterprise data architecture. Key trends in this forecast period encompass technology evolutions, adoption of graph data storage, AI integration, cloud-based answers, hybrid graph patterns, and blockchain technology.

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What Are the Drivers Transforming the Enterprise Knowledge Graph Market?
The growth of the enterprise knowledge graph market is likely to be driven by the growing acceptance of cloud-based deployment. When software applications, services or resources are hosted and delivered over the internet through cloud-computing platforms, this is known as cloud-based deployment. This allows users to manage and access them remotely. The uptake of cloud-based deployment has been amplified because of its scalability, cost-effectiveness, and the capability to offer flexible, on-demand resource and service access. Cloud-based deployment necessitates an enterprise knowledge graph to facilitate structured and unstructured data integration, administration, and retrieval across various systems, which improves data accessibility, compatibility, and decision-making within a cloud setting. As per data from Eurostat, a statistical office of the European Union based in Luxembourg, around 45.2% of the businesses in the European Union utilized cloud computing services in 2023 for various tasks like emailing and file storage, representing a significant rise of 4.2 percentage points from 2021. Further, email services (82.7%), followed by file storage services (68.0%), and office software (66.3%) were the most commonly bought cloud computing services in 2023. Consequently, the rise in cloud-based deployment adoption is spurring the development of the enterprise knowledge graph market.

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What Long-Term Trends Will Define the Future of the Enterprise Knowledge Graph Market?
Major corporations active in the enterprise knowledge graph market are concentrating on developing advanced solutions like AI-based techniques to enhance data management, bolster decision-making, and yield better business results. These AI solutions employ advanced artificial intelligence methodologies to scrutinize and oversee data within enterprise knowledge graphs, facilitating data integration, entity identification, relationship detection, improved semantic search, and predictive analytics, thereby refining decision-making and data accessibility for firms. An example of this came in June 2024, when US tech company RelationalAI introduced its cutting-edge Knowledge Graph Coprocessor for Snowflake clients, a new solution aimed at enabling organizations to create their inaugural knowledge graph within mere weeks. This lets companies rapidly explore use cases such as Employee, Product, Customer 360, Advanced Analytics, and Natural Language Search. The Knowledge Graph Accelerator is essential for organizations using knowledge graphs to augment insights and make the decision-making process more efficient.

Which Segments in the Enterprise Knowledge Graph Market Offer the Most Profit Potential?
The enterprise knowledge graphmarket covered in this report is segmented -

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

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Which Firms Dominate the Enterprise Knowledge Graph Market by Market Share and Revenue in 2025?
Major companies operating in the enterprise knowledge graph market are Google LLC, Microsoft Corporation, Amazon Web Services Inc., 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.

Which Regions Offer the Highest Growth Potential in the Enterprise Knowledge Graph Market?
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.

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