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Graph Database (GDB) Market

Graph Database (GDB) 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) and region (North America, Europe, Asia-Pacific, Middle East and Africa and South America).

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Graph Database (GDB) Market

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  1. Graph Database (GDB) Market – Trends and Forecast Till 2031 sales@delvens.comwww.delvens.com

  2. Graph Database (GDB) Market – Trends and Forecast Till 2031 Graph Database (GDB) 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) and region (North America, Europe, Asia-Pacific, Middle East and Africa and South America). Request For Free Sample Report:https://www.delvens.com/get-free-sample/graph-database-market sales@delvens.com www.delvens.com

  3. Market Overview The global Graph Database (GDB) Market size was estimated at USD 527.6 million in 2024 and is projected to reach USD 3,017.5 million in 2031 at a CAGR of 28.2 % during the forecast period 2025-2031. The graph database (GDB) market is an evolving sector within the broader database management industry, focused on storing and managing data in a graph structure. Unlike traditional relational databases, which use tables to represent data, graph databases use nodes, edges, and properties to model relationships between data points. This unique structure makes GDBs particularly useful for applications involving complex relationships and interconnected data, such as social networks, recommendation systems, fraud detection, and supply chain management. Purchase this Report:https://www.delvens.com/checkout/graph-database-market sales@delvens.com www.delvens.com

  4. Key Findings The Data Analytics and Business Intelligence segment is anticipated to dominate the market during the forecast period. Graph databases are transforming analytics and business intelligence by enabling businesses to analyze complex relationships and extract valuable insights from highly interconnected data. Unlike traditional relational databases that organize data in rows and columns, graph databases use a node-and-edge structure, which is ideal for exploring connections, relationships, and transaction networks.  The healthcare, life sciences, and pharmaceuticals segment is projected to experience the fastest growth during the forecast period. Graph databases facilitate advanced data integration, analysis, and relationship mapping, which are crucial in healthcare, life sciences, and pharmaceuticals. They allow for better correlation and analysis of diverse patient datasets, including electronic health records (EHRs), genomic data, and medical imaging, leading to more personalized insights and improved treatment outcomes. sales@delvens.com www.delvens.com

  5. Key Findings The market is also divided into various regions such as North America, Europe, Asia-Pacific, South America, and Middle East and Africa. North America region is projected to hold the largest market share. Factors such as increasing Cloud Adoption, AI Integration, Big Data Management, IoT Growth, Enhanced Data Analytics, Demand for Real-Time Processing, Advancements in Technology, Flexible and Scalable Infrastructure, Rising Adoption in Financial Services, Data Complexity have triggered the Graph Database (GDB) Market in the region. Inquire Before Buying:https://www.delvens.com/Inquire-before-buying/graph-database-market sales@delvens.com www.delvens.com

  6. Competitive Landscape • IBM Corporation • Oracle • Microsoft Corporation • AWS • Neo4j • RelationAI • Progress Software • TigerGraph • Stardog • Datastax • Franz Inc sales@delvens.com www.delvens.com

  7. Recent Developments In December 2024, DataStax and Wikimedia Deutschland formed a partnership to utilize the DataStax AI Platform, powered by NVIDIA AI, which includes NVIDIA NeMo Retriever and NIM microservices, to offer Wikidata to developers as an embedded vectorized database. In June 2024, Neo4j teamed up with Snowflake to integrate its native graph data science solution into the Snowflake AI Data Cloud. This collaboration enables users to run over 65 graph algorithms instantly, eliminating the need to move data outside the Snowflake environment, and allowing them to take advantage of advanced graph capabilities while working within the familiar SQL environment and tools. sales@delvens.com www.delvens.com

  8. Contact Information About Us: Delvens is a strategic advisory and consulting company headquartered in New Delhi, India. The company holds expertise in providing syndicated research reports, customized research reports and consulting services. Delvens qualitative and quantitative data is highly utilized by each level from niche to major markets, serving more than 1K prominent companies by assuring to provide the information on country, regional and global business environment. We have a database for more than 45 industries in more than 115+ major countries globally. Contact Us: +44-20-3290-6466 +1 214-377-1144 sales@delvens.com sales@delvens.com www.delvens.com

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