A graph database is an online database management system comprising a collection of nodes and edges, wherein each node represents an entity such as a person or business and each edge represents a connection or relationship between two nodes. A graph database is ideal to store data and connect relationships between data much more accurately. It helps represent complex interactions between data in a much more natural form and often allows for a closer fit to real-world data. A graph database is suitable for delivery aligned with today’s changing business needs and delivery practices and flexible with expanding data modes. Expanding business applications with connected data, sensors, and connected devices are expected to drive the growth of the graph database market during the forecast period.

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Graph Database Market Revenue Trends,
Company Profiles, Revenue Share Analysis,
2021–2026
A graph database is an online database management system comprising a collection of nodes
and edges, wherein each node represents an entity such as a person or business and each edge
represents a connection or relationship between two nodes. A graph database is ideal to store
data and connect relationships between data much more accurately. It helps represent
complex interactions between data in a much more natural form and often allows for a closer
fit to real-world data. A graph database is suitable for delivery aligned with today’s changing
business needs and delivery practices and flexible with expanding data modes. Expanding
business applications with connected data, sensors, and connected devices are expected to
drive the growth of the graph database market during the forecast period.
The Major Players Covered in this Report:
ArangoDB, Datastax Inc., Franz Inc., IBM Corporation, Microsoft Corporation, Neo4j
Inc., Ontotext, Oracle Corporation, OrientDB Ltd., Spercity Technologies
The global graph database market is expected to grow at a CAGR of 16.9% during the
forecast period, 2019–2026.
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By Component , Services , Solutions
By Application , Customer Experience Management , Sales and Marketing Management ,
Competitive Intelligence , Merchandising Analysis , Store Operations Management ,
OthersDeployment Mode , On-Premise , Cloud
Market Segmentation
The global graph database market can be segmented by type, solution, application, industry
vertical, and geography. On the basis of type, the market can be segmented into RDF and
property graph and on the basis of solution, it can be segmented into software and services.
By application, the market can be segmented into analytics, risk management and fraud
detection, and recommendation engines. Lastly, on the basis of vertical, the graph database
market can be segmented into BFSI, information technology, telecommunication, travel and
logistics, manufacturing, and others.

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Regional Analysis For Graph Database Market:
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, and Italy)
Asia-Pacific (China, Japan, Korea, India, and Southeast Asia)
South America (Brazil, Argentina, Colombia, etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, and South Africa)
In this study, the years considered to estimate the market size of the Graph Database
are as follows:
 History Year: 2014-2019
 Base Year: 2019
 Estimated Year: 2020
 Forecast Year 2021 to 2026
The study objectives of this report are:
 To study and forecast the market size of the Graph Database in the global market.
 To analyze the global key players, SWOT analysis, value, and global market share for top players.
 To define, describe and forecast the market by type, end-use, and region.
 To analyze and compare the market status and forecast among global major regions.
 Analyze the potential of the global market and the advantages, opportunities and challenges,
constraints, and risks of key regions.
 Identify the key trends and factors that are driving or holding back market growth.
 To analyze the opportunities in the market for stakeholders by identifying the high-growth
segments.
 Strategic analysis of each submarket in light of individual growth trends and market
contributions.
 To analyze competitive developments such as expansions, agreements, new product launches,
and acquisitions in the market.
 Complete analysis of the strategic strategy and growth of key players
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