The global Knowledge Graph market size is projected to grow from USD 1,068.4 million in 2024 to USD 6,938.4 million by 2030 at a Compound Annual Growth Rate (CAGR) of 36.6% during the forecast period. The strict data protection requirements from regulations such as GDPR and CCPA require businesses to meet high compliance standards across multimodal databases through clear data management processes. Knowledge graphs engines provide an organized interconnected framework which improves both traceability and accountability. The practice of mapping data connections across various systems supports the efficient tracking of data movements and the management of consent as well as personal information. Organizations can quickly respond to access inquiries and regulatory evaluations which strengthens compliance and customer trust.
Key and innovative vendors in the Knowledge Graph market
Top Companies in Knowledge Graph Industry Include
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Neo4j
Neo4j is a leading knowledge graph provider, notable for its graph database technology that enables organizations to model, store, and analyze many different types of interconnected data. Offerings include Neo4j AuraDB, a fully managed cloud graph database, and Neo4j Graph Data Science, which allows advanced analytics and machine learning on graph data stored on multimodal databases. A recent strategic collaboration was formed by Neo4j with Snowflake to integrate Neo4j’s graph technology into Snowflake AI Data Cloud. This development aims to enhance data analytics capabilities by combining Snowflake’s scalable data platform with Neo4j’s graph-based insights, to help customers uncover deeper relationships within their data. The partnership reinforces Neo4j's commitment to innovation, embedding the graph technology deeper in enterprise applications, specifically AI and data-driven decision-making.
Graphwise
Graphwise is a major market player when it comes to knowledge graphs, specializing in the effective handling and utilization of interconnected information to gain actionable insights and meet compliance standards. Graphwise is a new venture formed by the recent merger between Ontotext and Semantic Web Company, combining Ontotext’s strength in large-scale enterprise knowledge graph platforms with Semantic Web Company’s capability in semantic web technology and enterprise knowledge graphs. The merger strengthens Graphwise’s position as a leader in the industry, enabling it to deliver comprehensive tools for data integration, semantic search, and AI-driven analytics. These solutions address a wide range of industries, helping organizations improve data transparency, traceability, and decision-making in healthcare, finance and publishing sectors. The unified organization is set to drive innovation in knowledge graph technologies at a faster pace to meet increasing demand for regulatory compliance and data-driven intelligence.
Progress Software
Progress Software stands as a significant player within the knowledge graph industry by providing its MarkLogic Enterprise Knowledge Graph Platform among its offerings. Organizations can integrate and control intricately interconnected data from various sources while analyzing it through this solution to achieve a unified perspective that boosts decision-making processes. MarkLogic’s knowledge graph capabilities prove essential for applications such as data harmonization, semantic search, and regulatory compliance which makes it a favored option across healthcare, finance, and government sectors. Through its multimodal database architecture, Progress Software enables businesses to detect concealed connections while enhancing data traceability and generating actionable insights. Progress Software’s dedication to providing scalable, secure, and interoperable knowledge graph technologies is demonstrated through the MarkLogic solution which meets enterprise demands for data-driven intelligence and transparency.
Franz Inc
Franz Inc. is a provider of Graph Database technology; it specializes in developing and deploying Knowledge Graph and Data Fabric solutions. It offers AllegroGraph, a high-performance, transactional, and highly scalable Graph Database, which provides the solid storage layer for powerful enterprise grade Knowledge Graph and AI applications. Franz Inc's competitive edge lies in its emphasis on scalability, resilience, and its adeptness in managing complex data analytics tasks. While consistently meeting the complex needs of global businesses, Franz's focus remains on forming long-term relationships through personalized services and expertise.
Bitnine
Bitnine is a South Korean database management company specializing in graph database solutions. They are known for developing AgensGraph, a multi-model database that integrates relational and graph data models, enabling efficient handling of complex data relationships. AgensGraph is designed to support various applications, including fraud detection, social network analysis, and recommendation systems. Bitnine focuses on providing scalable and high-performance database solutions to meet the needs of enterprises dealing with large-scale data. These companies are at the forefront of leveraging advanced technologies such as AI, graph databases, and simulation to provide innovative solutions across various industries.
Related Reports:
Knowledge Graph Market by Solution (Enterprise Knowledge Graph Platform, Graph Database Engine, Knowledge Management Toolset), Model Type (Resource Description Framework, Labeled Property Graph) - Global Forecast to 2030
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