Market Overview:
The global graph database market is expected to grow from USD 1.02 Billion in 2018 to USD 3.73 Billion by 2030, at a CAGR of 18.5% during the forecast period. The growth of the global graph database market can be attributed to the increasing demand for big data and analytics solutions, growing need for real-time analysis of data, and rising trend of graph-based applications across industries. Based on type, the global graph database market is segmented into RDF and property graph.
Product Definition:
A graph database is a database that uses graphs to store data. Graphs are collection of nodes (points) and edges (lines between points). Nodes can have properties, and edges can have properties. Graph databases are used to model relationships between things. For example, a social network might use a graph database to model the relationships between people (nodes) and the things they share (edges).
RDF:
RDF is Resource description framework, it's a way to represent data in the form of graphs. It uses URIs as its foundation and supports graph-based adaption using SPARQL protocol and RDFS (Resource description framework standard) statement.
It has been designed for use with web-based information systems such as websites, blogs, social networking services etc.
Property Graph:
The property graph is a directed acyclic graph that represents an object's or a collection of objects' relationships. In other words, it is the visual representation of properties that can be used to find objects in a collection based on certain criteria. The most common use cases for property graphs are social media analytics and search engine optimization where they are used to optimize websites by showing them in search results and also help marketers analyze their performance.
Application Insights:
The others application segment accounted for the largest revenue share in 2017 and is projected to expand at a CAGR of XX% over the forecast period. The growing adoption of graph databases in social networks, online gaming, and digital marketing has paved the way for industry growth across various applications.
The banking, financial services, and insurance (BFSI) sector accounted for a significant market share in 2017 owing to its criticality to manage data efficiently across multiple applications within an organization. Graph databases are being used by banks as they offer several advantages over traditional database systems such as scalability, high availability & resilience features along with improved performance when it comes to processing large amounts of data within seconds or minutes instead of hours or days which was previously possible only if done manually through relational database management systems (RDBMS).
Regional Analysis:
North America dominated the global graph database market in terms of revenue share in 2017. The growth can be attributed to the presence of prominent players such as Oracle Corporation, which has been at the forefront of developing and commercializing graph-based solutions for a long time. Moreover, growing adoption and deployment of big data technologies across various industries is expected to drive demand for graph databases over the forecast period.
The Asia Pacific region is anticipated to witness significant growth over the next eight years owing to increasing investments by prominent companies in this region along with rising usage and implementation of big data technologies across various sectors including healthcare, manufacturing, retail etc. Furthermore, increasing government initiatives towards development and implementation of digital Government services are also contributing towards regional growth. For instance; Digital India Program initiated by Indian Government aims at providing internet access on a large scale through several projects such as Bharat Bill Pay & BHIM apps on mobile phones.
Growth Factors:
- Increasing demand for graph database from small and medium businesses (SMBs) due to the growing need for managing complex data.
- Graph databases are being increasingly used in big data projects to make sense of unstructured data and discover hidden relationships.
- The increasing popularity of NoSQL databases is driving the growth of graph database market as they offer an efficient way to store and query graphs effectively.
- Rapid deployment and scalability offered by graph databases is helping them gain traction in the market, especially among online businesses that need to handle large scale transactions quickly and efficiently .
Scope Of The Report
Report Attributes
Report Details
Report Title
Graph Database Market Research Report
By Type
RDF, Property Graph
By Application
BFSI, Telecom and IT, Retail and E-commerce, Healthcare and Life Sciences, Manufacturing, Government and Public, Transportation and Logistics, Energy and Utilities, Others
By Companies
IBM, Microsoft, Oracle, AWS, Neo4j, Orientdb, Teradata, Tibco Software, Franz, OpenLink Software, Marklogic, Tigergraph, MongoDB, Cray, Datastax, Ontotext, Stardog, Arangodb, Sparcity Technologies, Bitnine, Objectivity, Cambridge Semantics, Fluree, Blazegraph, Memgraph
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
130
Number of Tables & Figures
91
Customization Available
Yes, the report can be customized as per your need.
Global Graph Database Market Report Segments:
The global Graph Database market is segmented on the basis of:
Types
RDF, Property Graph
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
BFSI, Telecom and IT, Retail and E-commerce, Healthcare and Life Sciences, Manufacturing, Government and Public, Transportation and Logistics, Energy and Utilities, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- IBM
- Microsoft
- Oracle
- AWS
- Neo4j
- Orientdb
- Teradata
- Tibco Software
- Franz
- OpenLink Software
- Marklogic
- Tigergraph
- MongoDB
- Cray
- Datastax
- Ontotext
- Stardog
- Arangodb
- Sparcity Technologies
- Bitnine
- Objectivity
- Cambridge Semantics
- Fluree
- Blazegraph
- Memgraph
Highlights of The Graph Database Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- RDF
- Property Graph
- By Application:
- BFSI
- Telecom and IT
- Retail and E-commerce
- Healthcare and Life Sciences
- Manufacturing
- Government and Public
- Transportation and Logistics
- Energy and Utilities
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Graph Database Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
A graph database is a data storage system that uses graphs to store data. Graph databases are different from traditional relational databases, which use tables of rows and columns to store data. A graph database stores information as nodes and edges between those nodes. This allows the system to more easily find relationships between items than is possible with a table-based system.
Some of the key players operating in the graph database market are IBM, Microsoft, Oracle, AWS, Neo4j, Orientdb, Teradata, Tibco Software, Franz, OpenLink Software, Marklogic, Tigergraph, MongoDB, Cray, Datastax, Ontotext, Stardog, Arangodb, Sparcity Technologies, Bitnine, Objectivity, Cambridge Semantics, Fluree, Blazegraph, Memgraph.
The graph database market is expected to register a CAGR of 18.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Graph Database Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Graph Database Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Graph Database Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Graph Database Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Graph Database Market Size & Forecast, 2018-2028
4.5.1 Graph Database Market Size and Y-o-Y Growth
4.5.2 Graph Database Market Absolute $ Opportunity
Chapter 5 Global Graph Database Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Graph Database Market Size Forecast by Type
5.2.1 RDF
5.2.2 Property Graph
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Graph Database Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Graph Database Market Size Forecast by Applications
6.2.1 BFSI
6.2.2 Telecom and IT
6.2.3 Retail and E-commerce
6.2.4 Healthcare and Life Sciences
6.2.5 Manufacturing
6.2.6 Government and Public
6.2.7 Transportation and Logistics
6.2.8 Energy and Utilities
6.2.9 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Graph Database Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Graph Database Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Graph Database Analysis and Forecast
9.1 Introduction
9.2 North America Graph Database Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Graph Database Market Size Forecast by Type
9.6.1 RDF
9.6.2 Property Graph
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Graph Database Market Size Forecast by Applications
9.10.1 BFSI
9.10.2 Telecom and IT
9.10.3 Retail and E-commerce
9.10.4 Healthcare and Life Sciences
9.10.5 Manufacturing
9.10.6 Government and Public
9.10.7 Transportation and Logistics
9.10.8 Energy and Utilities
9.10.9 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Graph Database Analysis and Forecast
10.1 Introduction
10.2 Europe Graph Database Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Graph Database Market Size Forecast by Type
10.6.1 RDF
10.6.2 Property Graph
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Graph Database Market Size Forecast by Applications
10.10.1 BFSI
10.10.2 Telecom and IT
10.10.3 Retail and E-commerce
10.10.4 Healthcare and Life Sciences
10.10.5 Manufacturing
10.10.6 Government and Public
10.10.7 Transportation and Logistics
10.10.8 Energy and Utilities
10.10.9 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Graph Database Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Graph Database Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Graph Database Market Size Forecast by Type
11.6.1 RDF
11.6.2 Property Graph
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Graph Database Market Size Forecast by Applications
11.10.1 BFSI
11.10.2 Telecom and IT
11.10.3 Retail and E-commerce
11.10.4 Healthcare and Life Sciences
11.10.5 Manufacturing
11.10.6 Government and Public
11.10.7 Transportation and Logistics
11.10.8 Energy and Utilities
11.10.9 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Graph Database Analysis and Forecast
12.1 Introduction
12.2 Latin America Graph Database Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Graph Database Market Size Forecast by Type
12.6.1 RDF
12.6.2 Property Graph
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Graph Database Market Size Forecast by Applications
12.10.1 BFSI
12.10.2 Telecom and IT
12.10.3 Retail and E-commerce
12.10.4 Healthcare and Life Sciences
12.10.5 Manufacturing
12.10.6 Government and Public
12.10.7 Transportation and Logistics
12.10.8 Energy and Utilities
12.10.9 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Graph Database Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Graph Database Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Graph Database Market Size Forecast by Type
13.6.1 RDF
13.6.2 Property Graph
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Graph Database Market Size Forecast by Applications
13.10.1 BFSI
13.10.2 Telecom and IT
13.10.3 Retail and E-commerce
13.10.4 Healthcare and Life Sciences
13.10.5 Manufacturing
13.10.6 Government and Public
13.10.7 Transportation and Logistics
13.10.8 Energy and Utilities
13.10.9 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Graph Database Market: Competitive Dashboard
14.2 Global Graph Database Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 IBM
14.3.2 Microsoft
14.3.3 Oracle
14.3.4 AWS
14.3.5 Neo4j
14.3.6 Orientdb
14.3.7 Teradata
14.3.8 Tibco Software
14.3.9 Franz
14.3.10 OpenLink Software
14.3.11 Marklogic
14.3.12 Tigergraph
14.3.13 MongoDB
14.3.14 Cray
14.3.15 Datastax
14.3.16 Ontotext
14.3.17 Stardog
14.3.18 Arangodb
14.3.19 Sparcity Technologies
14.3.20 Bitnine
14.3.21 Objectivity
14.3.22 Cambridge Semantics
14.3.23 Fluree
14.3.24 Blazegraph
14.3.25 Memgraph
