MarkNtel Advisors recently published a detailed industry analysis of the Graph Database Market. The report covers growth trends, geographical marketing strategies, challenges, opportunities, and drivers influencing the market.
Insights and Analysis of the Graph Database Market (2025-2030)
The Global Graph Database Market size is valued at around USD 3.12 billion in 2024 & is anticipated to reach around USD 13.72 billion by 2030. Along with this, the market is estimated to grow at a CAGR of around 25.56% during the forecast period, i.e., 2025-30.
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What is driving the Graph Database Market?
Booming Demand for Solutions Processing Low-latency Queries to Augment the Market Growth – Businesses face issues when storing massive amounts of linked data in a database that has not been designed for a particular purpose. Companies are increasingly employing real-time recommendation systems built on top of a graph database that can perform low-latency queries rather than a time-consuming batch procedure built on top of a traditional relational database. It beats traditional relational databases greatly by allowing users to explicitly access earlier purchases made by clients during an online visit to match past & session data. Hence, using a graph database could reduce latency & thus become a driving factor for the market. To achieve low latency & high throughput queries are divided into sub-queries that run continuously.
Furthermore, various organizations are utilizing graph databases to create cross-application usability, support knowledge-intensive applications, and connect several disciplines to establish a cross-domain knowledge network that must include datasets, schemes, and documentation, thereby propelling the Graph Database Market growth.
What segments define the Graph Database market from 2025 to 2030? How do these segments contribute to market dynamics and growth?
By End User
(BFSI, IT & Telecommunication, Retail & E-commerce, Healthcare, Government & Public Infrastructure, Media & Entertainment),
By Application
(Customer Analytics, Identity& Access Management, Recommendation Engine, Master Data Management, Privacy & Risk Compliance, Fraud Detection & Risk Management, Others),
By Component
(Managed Services, Professional Services),
By Organization Size
(Large Enterprises, Small- & Medium-sized Enterprises),
By Deployment
(Cloud, On-premises),
By Type
(Resource Description Framework, Labeled Property Graph),
By Region
(North America, South America, Europe, The Middle East & Africa, Asia-Pacific)
Explore the Complete Graph Database Market Analysis Report – https://www.marknteladvisors.com/research-library/graph-database-market.html
Who are the leading key players shaping the Graph Database Market landscape?
IBM, Oracle, Microsoft, Amazon Web Services, SAP, NEO4J , MarkLogic, TigerGraph, Stardog, DataStax, HPE, Franz Inc., Ontotext, Openlink Software, Dgraph Labs, Others
Questions Addressed in this Study
1.What factors are driving the Graph Database Market growth?
2.How is the Graph Database Market expected to grow over the next five years?
3.What are the key insights into the current trends in the Graph Database Market?
4.What is the current size of the Graph Database Market, and how is it projected to change in the future?
6.What is the future outlook for the Graph Database Market in terms of technological advancements and market expansion?
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MarkNtel Advisors is a leading research, consulting, & data analytics firm that provides an extensive range of strategic reports on diverse industry verticals. We deliver data to a substantial & varied client base, including multinational corporations, financial institutions, governments, & individuals, among others.
Our specialization in niche industries & emerging geographies allows our clients to formulate their strategies in a much more informed way and entail parameters like Go-to-Market (GTM), product development, feasibility analysis, project scoping, market segmentation, competitive benchmarking, market sizing & forecasting, & trend analysis, among others, for 15 diverse industrial verticals.
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