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Graph Database Market by Component (Software, Services), by Type (Relational (SQL), by Analysis Type (Community Analysis, Connectivity Analysis, Centrality Analysis), by Deployment (Cloud, On Premise), by Application (Identity and Access Management, Customer Analytics, Recommendation Engine), by End User (BFSI, IT & Telecommunication, Retail, Healthcare), by North America (United States, Canada, Mexico), by Middle East & Africa (UAE, South Africa, Saudi Arabia, Rest of Middle East Africa), by Asia Pacific (China, Japan, India, South Korea, Taiwan, South East Asia, Australia, Rest of Asia-Pacific), by Europe (Germany, France, Italy, United Kingdom, Spain, Nordics, Benelux, Rest of Europe), by Latin America (Brazil, Argentina, Rest of South America) Forecast 2024-2032
The Graph Database Market size was valued at USD 1.9 USD billion in 2023 and is projected to reach USD 7.91 USD billion by 2032, exhibiting a CAGR of 22.6 % during the forecast period. A graph database is one form of NoSQL database that contains and represents relationships as graphs. Graph databases do not presuppose the data as relations as most contemporary relational databases do, applying nodes, edges, and properties instead. The primary types include property graphs that permit attributes on the nodes and edges and RDF triplestores that center on subject-predicate-object triplets. Some of the features include; the method's ability to traverse relationships at high rates, the schema change is easy and the method is scalable. Some of the familiar use cases are social media, recommendations, anomalies or fraud detection, and knowledge graphs where the relationships are complex and require higher comprehension. These databases are considered valuable where the future connection between the items of data is as significant as the data themselves.
Graph Database Trends
Component:
Type:
Analysis Type:
Deployment:
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Significant Developments in the Graph Database Sector
The report includes:
"Graph databases are gaining popularity due to their ability to manage complex and interconnected data. The market is expected to grow significantly in the coming years, driven by increased adoption in various industries."
Aspects | Details |
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Study Period | 2018-2032 |
Base Year | 2023 |
Estimated Year | 2024 |
Forecast Period | 2024-2032 |
Historical Period | 2018-2023 |
Growth Rate | CAGR of 22.6% from 2018-2032 |
Segmentation |
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Aspects | Details |
---|---|
Study Period | 2018-2032 |
Base Year | 2023 |
Estimated Year | 2024 |
Forecast Period | 2024-2032 |
Historical Period | 2018-2023 |
Growth Rate | CAGR of 22.6% from 2018-2032 |
Segmentation |
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Note* : In applicable scenarios
Primary Research
Secondary Research
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During the analysis stage, feedback from the stakeholder groups would be compared to determine areas of agreement as well as areas of divergence
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