The Graph Database Market size was valued at US$ 2.25 billion in 2022 and is expected to reach US$ 11.55 billion in 2030 with a growing CAGR of 22.7% over the forecast period 2023-2030.
The graph database market has witnessed substantial growth due to the increasing need for efficient data management and the rise of connected data applications. Traditional relational databases often struggle with the complexity and interrelated nature of modern datasets, prompting many organizations to adopt graph databases. These databases are designed to handle intricate relationships and connections within data more effectively, making them ideal for applications in social networks, recommendation engines, fraud detection, and network analysis. The demand is further fueled by the proliferation of big data and the need for real-time data processing capabilities, pushing companies to seek more dynamic and scalable database solutions.
Another significant driver for the graph database market is the increasing adoption of advanced technologies such as artificial intelligence (AI) and machine learning (ML). These technologies require sophisticated data models to uncover patterns, trends, and relationships within large datasets, which graph databases can provide..
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Covid 19 impact analysis:
The latest report is the most recent study that offers 360° coverage of the Graph Database industry that has been facing the brunt of the adverse economic impact of the COVID-19 outbreak since the beginning of this year. The global health crisis has affected nearly every aspect of the business vertical and led to massive disruptions to the global Graph Database market demand and supply chains. Researchers draw predictions for the market scenario in the post-COVID era. The report, additionally, assesses the present market situation and estimates its future outcomes, keeping in mind the impact of the pandemic on the global economic landscape.
Major companies profiled in the market report include
Oracle Corporation, Ontotext, Orient DB, Hewlett Packard Enterprise, Microsoft Corporation, Teradata Corporation, Stardog Union Inc., Amazon Web Services, Inc., Objectivity Inc., MangoDB, TIBCO Software, Franz Inc., TigerGraph Inc., DataStax, IBM Corporation, Blazegraph, Openlink Software, MarkLogic Corporation, GraphBase, Neon4j Inc., ArangoDB, and others
Research objectives:
The latest research report has been formulated using industry-verified data. It provides a detailed understanding of the leading manufacturers and suppliers engaged in this market, their pricing analysis, product offerings, gross revenue, sales network & distribution channels, profit margins, and financial standing. The report’s insightful data is intended to enlighten the readers interested in this business sector about the lucrative growth opportunities in the Graph Database market.
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It has segmented the global Graph Database market
By Component
- Software
- Services
By Deployment
- Cloud
- On-Premise
By Type
- Relational (SQL)
- Non-Relational (NoSQL)
By Application
- Identity and Access Management
- Customer Analytics
- Recommendation Engine
- Master Data Management
- Privacy and Risk Compliance
- Fraud Detection and Risk Management
- Others
By Analysis Type
- Community Analysis
- Connectivity Analysis
- Centrality Analysis
- Path Analysis
By End User
- Banking, Financial Services and Insurance (BFSI)
- IT & Telecommunication
- Retail
- Healthcare
- Life Science
- Media & Entertainment
- Government
- Others
Key Reasons to Purchase this Report:
A comprehensive study of market size, share and dynamics is a global Graph Database 'market research report and a thorough survey of developments in the field.
It offers an in-depth overview of revenue growth and an analysis of the total business benefits.
In addition to the strategic landscape for commodity pricing and marketing, the Graph Database ' industry research also provides key players.
This is a new post covering the latest impact on the target market. The research report addresses the rapidly evolving market climate as well as the initial and future impact assessment
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