Leading Growth Driver in the Enterprise Knowledge Graph Market in 2025: Impact Of Cloud-Based Deployment On The Growth Of The Enterprise Knowledge Graph Market Driver's Influence

What Are the Market Size and Growth Forecast for the Enterprise Knowledge Graph Market?
The market size of the enterprise knowledge graph has witnessed a substantial increase in the past few years. Its growth is projected to climb from $1.18 billion in 2024 to $1.48 billion in 2025, with a compound annual growth rate (CAGR) of 24.8%. Factors contributing to this escalating growth during the historic period include an increase in the volume and diversity of enterprise data, a rise in data-driven business initiatives, heightened demand for automated data processing, the growth of data sources, and an increased use of advanced data visualization tools.

Predictions indicate a significant surge in the enterprise knowledge graph market size in the coming years. The market is expected to expand to $3.54 billion by 2029, with a compound annual growth rate (CAGR) of 24.4%. This anticipated growth during the forecast period is due to factors such as escalating demand for data integration, increased necessity for better data analytics, widespread usage of artificial intelligence, heightened emphasis on enhancing data accuracy, and substantial investment in enterprise data architecture. The forecast period also sees key trends including technological advances, graph database employment, AI integration, cloud-based approaches, hybrid graph structures, and the utilization of blockchain technology.

What Is Contributing to the Growth of the Enterprise Knowledge Graph Market?
Expectations for the enterprise knowledge graph market's expansion are being fueled by the ongoing surge in the adoption of cloud-based deployments. When software applications, services, or resources are hosted and provided over the internet via cloud computing platforms, it's what we call cloud-based deployment. It enables users to manage and access these resources remotely. The trend towards cloud-based deployment is rising, attributed to its scalability, cost-effectiveness, and flexible access to services and resources whenever needed. An enterprise knowledge graph is critical to cloud-based deployment. It facilitates the integration, administration, and mining of both structured and unstructured data across multiple systems, thereby improving data accessibility, interoperability, and decision-making in a cloud setting. For instance, findings from Eurostat in December 2023 showed that around 45.2% of enterprises in the European Union made use of cloud computing services that year, primarily for tasks such as email hosting, file storage, and various operational activities. This was a significant 4.2 percentage points jump from the 2021 figure. Furthermore, in 2023, the most commonly acquired cloud computing services included email services (82.7%), file storage services (68.0%), and office software (66.3%). The growing adoption of cloud-based deployment, thus, is fueling the expansion of the enterprise knowledge graph market.

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Which Key Market Leaders Are Driving Enterprise Knowledge Graph Industry Growth?
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.

Which Key Developments Are Influencing the Enterprise Knowledge Graph Market?
Major firms active in the enterprise knowledge graph operation are prioritizing the development of sophisticated technologies such as AI-based tools for better data processing, improved decision-making, and ultimately enhanced business results. These AI-driven solutions use AI methodologies to manipulate and analyze data in the enterprise knowledge graphs. They support tasks like data amalgamation, entity identification, detecting relations, superior semantic searches, and predictive data analysis thus fortifying decision-making and data access for enterprises. For instance, in June 2024, RelationalAI, an American technology firm, introduced a robust Knowledge Graph Coprocessor for Snowflake users, a novel solution crafted to assist organizations in creating their initial knowledge graph within just several weeks. Its offering enables organizations to abruptly dive into use cases such as Employee, Product, Customer 360, Advanced Analytics, and Natural Language Search. The Knowledge Graph Accelerator is crucial for firms using knowledge graphs to enrich insights and simplify their decision-making procedures.

What Are the Main Segments in the Enterprise Knowledge Graph Market?
The enterprise knowledge graph market 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 Geographic Area Leads 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.

What Is Covered In The Enterprise Knowledge Graph Global Market Report?

- Market Size Analysis: Analyze the enterprise knowledge graph Market size by key regions, countries, product types, and applications.
- Market Segmentation Analysis: Identify various subsegments within the enterprise knowledge graph Market for effective categorization.
- Key Player Focus: Focus on key players to define their market value, share, and competitive landscape.
- Growth Trends Analysis: Examine individual growth trends and prospects in the market.
- Market Contribution: Evaluate contributions of different segments to the overall enterprise knowledge graph market growth.
- Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers.
- Industry Challenges: Analyze challenges and risks affecting the enterprise knowledge graph market.
- Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market.

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