1. HOME
2. Research Insight
3. Best Knowledge Graph Companies are IBM (US) and Microsoft (US)

The knowledge graph market size is projected to grow from USD 0.9 billion in 2023 to USD 2.4 billion by 2028, at a CAGR of 21.8% during the forecast period.

Effective data integration and management solutions are becoming more and more necessary due to the exponential growth of data. Knowledge graphs are useful for businesses because they offer an organized method of integrating, organizing, and managing data from several sources.

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

Top knowledge graph companies includes:

• IBM (US),
• Microsoft (US),
• AWS (US),
• Neo4j (US),
• TigerGraph (US),
• SAP (Germany),
• Oracle (US),
• Stardog (US),
• Franz Inc (US)

These competitors have used various growth methods to increase their market share in the knowledge graph market, including partnerships, agreements, collaborations, new product releases, product enhancements, and acquisitions.

IBM:

• IBMis a multinational technology and consulting corporation that offers infrastructure, hosting, and consulting services. It is a creator, developer, and manufacturer of some of the world’s most updated technologies. Through its Watson AI platform, IBM offers tools like the Watson Knowledge Studio, enabling organizations to create and customize knowledge graphs for structured data extraction from unstructured sources. These solutions cater to diverse industries, including healthcare, finance, and customer service, empowering them to build domain-specific knowledge graphs. IBM is one of the top vendors in the knowledge graph market, owing to the strong portfolio of solutions and services that the company offers in the market.

Microsoft:

• Microsoftdevelops and supports software, services, devices, and solutions. Offering Azure Knowledge Graph, a cloud-based service, Microsoft empowers organizations to build and manage knowledge graphs, facilitating data representation and analysis for insightful decision-making. Furthermore, Microsoft's Azure cloud platform provides a range of complementary services, such as Azure Data Factory, Azure Databricks, Azure Machine Learning, and Azure Cosmos DB, which can be integrated into knowledge graph solutions. The company's Power BI tool aids users in visualizing and analyzing data from various sources, including knowledge graphs, to generate interactive reports and dashboards. Microsoft's acquisition of LinkedIn adds a professional networking dimension, while their commitment to research and development, particularly in AI and ML, enhances data analysis within knowledge graphs.

Amazon Web Services (AWS) (US):

• AWS offers knowledge graph capabilities through its Neptune service, a fully managed graph database that supports both RDF and property graph models. Neptune is designed to handle complex queries and large datasets, making it suitable for applications in fraud detection, recommendation engines, and network security.

Neo4j (US):

• Neo4j is a leading graph database provider known for its high-performance, scalable solutions. It supports a variety of applications, from real-time recommendations to network analysis. Neo4j’s open-source nature and extensive community support make it a popular choice for enterprises looking to harness graph technology.

TigerGraph (US):

• TigerGraph specializes in real-time graph analytics at scale, providing solutions for enterprise-level data integration and analysis. Its platform is designed to handle massive datasets and complex queries, catering to industries like finance, healthcare, and telecommunications.

SAP (Germany):

• SAP integrates knowledge graph technology into its HANA platform, enabling businesses to manage and analyze connected data. SAP's solutions focus on delivering real-time insights and enhancing business processes through better data connectivity and visibility.

Oracle (US):

• Oracle's knowledge graph solutions are part of its broader data management and analytics portfolio. Oracle Spatial and Graph offers comprehensive tools for managing and analyzing spatial and graph data, supporting applications in various industries, including finance, telecommunications, and transportation.

Stardog (US):

• Stardog provides a knowledge graph platform that emphasizes data unification and semantic reasoning. It enables organizations to connect, query, and analyze diverse data sources, providing a foundation for enterprise-wide data integration and knowledge management.

Franz Inc (US):

• Franz Inc. is known for its AllegroGraph product, a high-performance, scalable graph database that supports complex queries and data integration. AllegroGraph is used in applications ranging from healthcare analytics to cybersecurity, leveraging its ability to handle diverse and dynamic datasets.

Related Reports:

Knowledge Graph Market by Offering (Solutions, Services), By Data Source (Structured, Unstructured, Semi-structured), Industry (BFSI, IT & ITeS, Telecom, Healthcare), Model Type, Application, Type and Region - Global Forecast to 2028