DELRAY BEACH, Fla., April 14, 2025 /PRNewswire/ -- Memgraph has been recognized as a responsive company in the Knowledge Graph market on the 360Quadrants platform powered by MarketsandMarkets. Market players under this category are typically reported to have an established product portfolio and a strong market presence globally. Moreover, they possess a strong legacy of research & business collaborations with prominent industry stakeholders.
A knowledge graph is a sophisticated data structure that links diverse data points through defined relationships, enabling deeper insights, smarter decision-making, and contextual understanding. By integrating and querying data from multiple structured and unstructured sources, knowledge graphs play a critical role in data governance, artificial intelligence (AI), and analytics. As organizations increasingly rely on data to fuel innovation, boost efficiency, and enhance customer experiences, the importance of knowledge graphs continues to grow.
Several transformative trends are reshaping the capabilities and applications of knowledge graphs. The adoption of graph database technologies—such as Neo4j, TigerGraph, AWS Neptune, and Graphwise—has made knowledge graphs more scalable and adaptable across various industries. A key trend is the integration of AI and machine learning (ML), which enhances automation in data linking, entity recognition, and relationship discovery. When combined with natural language processing (NLP), these technologies allow knowledge graphs to extract valuable insights from unstructured data, offering contextual intelligence that supports use cases like customer engagement and predictive analytics.
Another significant trend is the rise of self-service data discovery. Businesses are increasingly seeking tools that empower non-technical users to explore and query data independently, democratizing access to insights. Additionally, the focus on explainable AI has fueled the adoption of knowledge graphs, as they offer transparent views into data lineage and relationships, helping organizations ensure accountability and trust in AI-driven decisions.
In 2025, Memgraph, the leader in open-source in-memory graph databases purpose-built for dynamic, real-time enterprise applications, declared a major expansion to its technology stack that will make it even easier for teams to build highly accurate, real-time AI solutions powered by graph technology.
Research Methodology
The 360Quadrants provides an in-depth evaluation and comparison of each of the key market players based on various techno-commercial inputs provided by industry experts, customers, distributors, etc., along with secondary research – product brochures, analyst notes, company publications, business articles, white papers, trade sources, and various other databases. A well-defined methodology is adopted to provide detailed ratings to each market player with respect to various parameters as outlined below:
- Shortlisting of 20 prominent market players & start-ups
- Relevant portfolio mapping at the regional level
- Key growth initiatives undertaken at the regional level
- Revenue analysis at a global and category level
- Strategic collaborations with governments, patient/customer groups, etc.
- Other industry-relevant parameters
About 360Quadrants
360Quadrants is the largest marketplace looking to disrupt US $3.7 trillion of technology spend and is the only rating platform for vendors in the technology space. The platform provides users access to unbiased information that helps them make qualified business decisions. 360Quadrants enables vendors to influence the business decisions of potential clients. Vendors get to win ideal new customers, customize their quadrants, decide key parameters, and position themselves strategically in a niche space, to be consumed by giants and start-ups alike. Experts get to grow their brands and increase their thought leadership. The platform targets the building of a social network that links industry experts with companies worldwide.
360Quadrants has also launched quadrants in fields like AI Training Dataset, Data Center Cooling, and Digital Twin.
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