Knowledge Graph Industry

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 regulations, including GDPR and CCPA, creates immense pressure on businesses to handle data in transparent and compliant manners. For this, knowledge graphs represent structured and interconnected data that enables better traceability and accountability. Knowledge graphs help companies monitor data flows, consent management, and proper handling of personal information by linking data points and showing relationships across various systems. This visibility helps organizations respond rapidly to data access requests, audits, and compliance checks, thus helping them meet regulatory requirements and maintain trust with their customers.

Key and innovative vendors in the Knowledge Graph market

Top Companies in Knowledge Graph Industry Include

• Stardog (US)
• Franz Inc (US)
• Altair (US)
• Graphwise (US)
• Bitnine ( South Korea)

To know about the assumptions considered for the study download the pdf brochure

Stardog

Stardog is a provider of enterprise data unification platform renowned for its robust capabilities in connecting, querying, and searching diverse data sources regardless of their structure or location. With a strong emphasis on its graph-based data model, Stardog enables organizations to build comprehensive knowledge graphs that capture intricate data relationships and dependencies. This powerful feature is instrumental in facilitating advanced applications in artificial intelligence, machine learning, and data analytics. With its robust graph database solutions, the company facilitates the integration of diverse data sources into a unified knowledge graph, empowering organizations to glean valuable insights and optimize decision-making. Stardog partnered with Caden to provide semantic and data virtualization capabilities for its Open Data platform, enabling users to manage and monetize personal data while connecting disparate data sets into comprehensive knowledge graphs.

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. The company has become a trusted collaborator for diverse entities, including enterprises, research institutions, and government agencies, seeking to harness advanced data management and analytical capabilities.

Altair Engineering Inc

Altair Engineering Inc. is an American multinational information technology company. It provides software and cloud solutions for simulation, IoT, high performance computing (HPC), data analytics, and AI. Altair has integrated powerful knowledge graph capabilities into its existing platforms, notably Altair RapidMiner and Altair Graph Studio. RapidMiner enhances data analytics and Al initiatives, allowing organizations to modernize their operations effectively. Meanwhile, Graph Studio provides an all-in-one toolset for building and managing knowledge graphs to integrate structured and unstructured data seamlessly. Altair acquired Cambridge Semantics to enhance its data analytics and AI capabilities. This acquisition integrates Cambridge's graph-powered data fabric technology into Altair's RapidMiner platform, enabling the creation of comprehensive knowledge graphs that improve data management and support generative AI applications.

Graphwise (US)

Graphwise is a company formed through the merger of Semantic Web Company and Ontotext, aiming to enhance artificial intelligence (AI) performance by leveraging graph technologies. Their platform focuses on improving the accuracy and reliability of AI models through semantic reasoning and analysis of complex relationships. Graphwise addresses challenges in generative AI and large language models by integrating unstructured and semi-structured data into knowledge graphs. They offer innovative applications such as Graph RAG, virtual assistants, and question-answering systems to streamline processes and improve customer experiences. The company operates globally, with offices in New York, Sofia, Vienna, London, Basel, and Boston.

Bitnine ( South Korea)

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 (RDF) Triple Stores, Labeled Property Graph) - Global Forecast to 2030

Contact:
Mr. Rohan Salgarkar
MarketsandMarkets Inc.
1615 South Congress Ave.
Suite 103,
Delray Beach, FL 33445
USA : 1-888-600-6441
[email protected]