Graph Database Market is set for lucrative growth during 2021-2031 | Size, Share, Demand and Opportunities Analysis

Global Graph Database Market report from Global Insight Services is the single authoritative source of intelligence on Graph Database Market. The report will provide you with analysis of impact of latest market disruptions such as Russia-Ukraine war and Covid-19 on the market. Report provides qualitative analysis of the market using various frameworks such as Porters' and PESTLE analysis. Report includes in-depth segmentation and market size data by categories, product types, applications, and geographies. Report also includes comprehensive analysis of key issues, trends and drivers, restraints and challenges, competitive landscape, as well as recent events such as M&A activities in the market.

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Key Trends
There are a few key trends in graph database technology:

Increased popularity: Graph databases are becoming increasingly popular, as they are well-suited for handling data that is highly interconnected. This is especially true for social media data, which often contains a lot of relationships between people, places, and things.

Improved performance: Graph databases have been designed specifically for handling data with many relationships. As a result, they tend to be much faster and more efficient than other types of databases when it comes to querying data.

Key Drivers
Graph databases are well suited for applications that require the analysis of highly interconnected data, such as social networks, fraud detection, and recommendation engines.

Some of the key drivers of the graph database market include:

The need for real-time insights: Graph databases offer the ability to query data in real-time, which is essential for applications that require up-to-the-minute data, such as fraud detection and social media analytics.

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Market Segments:
By Component
• Software
• Services
By Deployment Mode
• Cloud
• On-Premises
By Organization Size
• Large enterprises
• Small and medium-sized enterprises (SMEs)
By Type
• RDF
• Labeled Property Graph
By Application
• Customer Analytics
• Risk, Compliance and Reporting Management
• Recommendation Engines
• Fraud Detection and Prevention
• Supply Chain Management
• IoT
• Others

Key Players
• Oracle Corporation
• Neo4J
• IBM Corporation
• Amazon Web Services Inc.
• DataStax
• Ontotext
• Stardog Union
• Hewlett Packard Enterprise

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