Graph Database Market

The global Graph Database market size is projected to grow from USD 507.6 million in 2024 to USD 2,143.0 million by 2030 at a Compound Annual Growth Rate (CAGR) of 27.1% during the forecast period. The rapid expansion of IoT devices creates data streams from sensors, smart appliances, industrial equipment, etc. The sheer number of relationships makes it complex to be handled by traditional databases. Graph databases excel in mapping and analyzing the connections, giving real-time insights into the behavior of these devices, networks, and operational efficiencies. For instance, graph databases can track the relationship of IoT devices in a smart city with traffic flow and energy usage as well as the public safety system. It is thus vital for industries that wish to optimize processes, improve predictive maintenance, and foster innovation within their IoT ecosystem.

Key and innovative vendors in the Graph Database market

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

IBM Corporation (US), Oracle (US), RelationAI (US), Microsoft Corporation (US), AWS (US), Neo4j (US), Progress Software (US), TigerGraph (US), Stardog (US), Datastax (US), Franz Inc (US), Ontotext (Bulgaria), Openlink Software (US), Dgraph Labs (US), Graphwise (US), Altair (US), Bitnine ( South Korea) ArangoDB (US), Fluree (US), Blazegraph (US), Memgraph UK), Objectivity (US), GraphBase (Australia), Graph Story (US), Oxford Semantic Technologies (UK), and FalkorDB (Israel). The market players have adopted various strategies to strengthen their Graph Database market position. Organic and inorganic strategies have helped the market players expand globally by providing graph database solutions & services.

Ontotext specializes in semantic technology and knowledge graph solutions, and it offers various products and services that helps organizations derive meaningful insights from structured and unstructured data. Its platform, GraphDB, supports scalable and efficient data integration, querying, and management, leveraging semantic standards like RDF and SPARQL. Ontotext MetaStudio supports the creation and visualization of knowledge graphs. Ontotext Refine enhances data quality by enabling the cleaning, transformation, and enrichment of data for more accurate and insightful analytics. Semantic Web Company and Ontotext merged to form Graphwise, a global provider of Graph AI. Semantic Web Company contributes expertise in knowledge engineering and intelligent document processing, while Ontotext adds its versatile graph database engine and advanced AI models. Together, Graphwise offers the essential knowledge graph infrastructure to help enterprises maximize the value of their AI investments.

DataStax

DataStax operates in the data management and cloud database segment, offering solutions focusing on real-time data processing, AI-driven applications, and distributed cloud databases. Its key offering, Astra DB, is a cloud-native, fully managed database built on Apache Cassandra. DataStax and Wikimedia Deutschland partnered to leverage the DataStax AI Platform, built with NVIDIA AI, including NVIDIA NeMo Retriever and NIM microservices, to make Wikidata available to developers as an embedded vectorized database.

Neo4j

Neo4j specializes in the graph database, NOSQL databases, native graph technology, graph platform, graph analytics, cypher, database, knowledge graph, graph visualization, graph algorithms, fraud detection, data lineage, and graph technology. The company’s products are used across industry verticals, such as retail, government, financial services, and telecommunication. Neo4j collaborated with Amazon Web Services (AWS) to enable enterprises to achieve better generative artificial intelligence (AI) outcomes through a unique combination of knowledge graphs and native vector search that reduces generative AI hallucinations while making results more accurate, transparent, and explainable.

Related Reports:

Graph Database Market by Solutions (Graph Extension, Graph Processing Engines, Native Graph Database, Knowledge Graph Engines), Application (Data Governance and Master Data Management, Infrastructure and Asset Management) - 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]