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Global Graph Databases Market By Component (Software and Services), By Type (Relational {SQL} and Non-Relational {NoSQL}), By Analysis Type (Community Analysis, Connectivity Analysis, Centrality Analysis and Path Analysis), By Deployment (Cloud and On-Premise), By Application (Identity and Access Management, Customer Analytics, Recommendation Engine, Master Data Management, Privacy and Risk Compliance, Fraud Detection and Risk Management and others), By End-User (Banking, Financial Services and Insurance {BFSI}, IT & Telecommunication, Retail, Healthcare, Life Science, Media & Entertainment, Government and others), By Region (North America, Europe, Asia-Pacific, South America and The Middle East & Africa)-Global Forecast to 2028.
Description
Graph Database Market Overview
The global graph database market was USD 1.9 billion in 2021 to USD 7.1 billion by 2028, growing with a CAGR of 22.5% during the forecast period of 2022-2028. Different factors such as the demand to incorporate real-time big data mining with visualization of results, growing adoption for AI-based graph database tools and services to move the market, and increasing demand for solutions that can process low-latency queries are anticipated to drive the adoption of graph database solutions and services.What are Graph Databases?
Graph Database uses graph formats for semantic queries with nodes, edges, and effects to represent and store data. Each node denotes an entity (a person or business), and each edge represents a connection or relationship between two nodes. Graph databases are technologies that are translations of the relational OLTP (online transaction processing) databases. They are categorized based on the type, i.e., Resource Description Framework and Property Graph. Various applications of graph databases are Customer Analytics, Risk Management & Fraud Detection, Recommendation Engines, and Others. They are utilized in various industry verticals, including Banking & Financial Services, Manufacturing, Retail and e-commerce, Telecom and IT, Logistics, and Others.Growth Drivers
Increasing market for solutions that can process low-latency queries
Graph database devices and services are now being largely adopted, even to the point where some providers of legacy database technologies are attempting to implant graph database schemas on top of their existing relational database architectures. While the approach may decline costs, in theory, it can limit and compromise the execution of the queries established against the database. A graph database transforms traditional brick-and-mortar companies into digital business powerhouses when digital business initiatives arrive. Companies face challenges placing massive amounts of corresponding data in a database not optimized for any selected purpose. Instead of employing a complex batch process over a legacy relational database, companies can use a real-time recommendation strategy built on a graph database skilled in processing low-latency queries. It can be utilized to uniquely query customers’ past purchases during an online visit to compare historical and session data that dramatically outperforms traditional relational databases. Graph database gives lower latency. As the nodes and connections ‘point’ to one another, they can transverse millions of corresponding records with a consistent reaction time irrespective of database size. Queries are damaged into sub-queries, which run concurrently to perform low-latency and high throughput.Opportunities
The emergence of available knowledge networks
Knowledge networks incorporate and integrate knowledge from different domains and must possess datasets, schemes, and documentation to show usability across applications; support knowledge-intensive applications, and interlink numerous fields to create a cross-domain knowledge network. Applications such as elderly patient care and monitoring necessitate knowledge of biometrics, patient health history, home conditions, and real-time behavior. It is where knowledge networks can interlink multimodal cross-domain knowledge curated from different sources in expansion to a personalized knowledge graph for healthcare.Restraints
Scarcity of standardization and programming comfort
While using graph databases are technically NoSQL databases, they cannot be enforced across a low-cost group but have to operate on a single machine. That is the reason behind the rapid performance degradation across a network. Another potential disadvantage is that developers have to write their queries operating Java as there is no Standard Query Language (SQL) to retrieve data from graph databases, which means employing costly programmers or developers have to use SparcQL or one of the other query languages that have been created to support graph databases, however, it would mean learning a new skill. It Results in the absence of standardization and programming ease for graph database systems. There are visualization tools open for graph databases, but they are still developing.Pre Covid-19 Impact on Global Graph Databases Market
Before the covid-19 period, Surge in adoption of graph database software in the healthcare sector, improvement in application areas of the graph database, rise in need for better response time & accuracy to discover new data correlations, and an upsurge in penetration of connected data to optimize marketing implementation are the essential factors that impact the growth of the graph database market before the pandemic.Covid-19 Impact on Global Graph Databases Market
During the covid-19 outbreak, the pandemic has globally changed the dynamics of business processes. Though the COVID–19 period has thrown light on weaknesses in business standards across verticals, it has presented several opportunities to digitalize and grow their business across regions as the acceptance and integration of technologies such as cloud, analytics, AI, IoT, and blockchain has extended in the lockdown period. The retail and manufacturing sectors encountered a significant drop in business performance during the first and second quarters of 2020.Post Covid-19 Impact on Global Graph Databases Market
After the covid-19 period, with the availability of vaccines and considerable control over the pandemic, these sectors are anticipated to witness rising investments throughout the forecast period as graph database solutions grow in importance across various business functions. Graph database software plays a critical role in the healthcare and life sciences sectors for recording patients’ information and delivering this information to numerous patients or healthcare providers. Healthcare-focused start-ups are leveraging graph database technology to cater to customers’ unmet needs. These are the factors that grow the demand of the graph databases market.By Component Segmental Analysis
Based on component, the global graph databases is segmented into Software and Services. The software component is anticipated to account for a larger market size during the forecast period. Software help analyzes data generated from IoT devices, sensors, clickstreams, and social media platforms. They provide data results via interactive dashboards.By Application Segmental Analysis
Based on application, the global graph databases market is segmented into Identity and Access Management, Customer Analytics, Recommendation Engine, Master Data Management, Privacy and Risk Compliance, Fraud Detection and Risk Management and others. Fraud detection and risk management are predicted to hold the most significant CAGR during the forecast period. Due to the rising adoption of a graph database in numerous verticals for security purposes, for example-growing obligation on consumers and business and new revenue for criminals, with estimations offering online payment fraud.By End-User Segmental Analysis
Based on end-user, the global graph databases are segmented into Banking, Financial Services and Insurance {BFSI}, IT & Telecommunication, Retail, Healthcare, Life Science, Media & Entertainment, Government and others. Banking, Financial Services and Insurance (BFSI) carry the largest market allocation as graph database tools & services help these institutions detect and decrease the occurrence of frauds such as unsecured bank credits with no intention of paying them back, credit cards, and demand loans.By Regional Segmental Analysis
Based on region, the global graph databases market is segmented into North America, Europe, Asia-Pacific, South America and The Middle East & Africa. North America region is expected to have significant CAGR and market growth due to the emergence of technology-based industries and enterprises that have made significant growth chances for graph database players in the region as most of the enterprises depend on data, which is pushing the adoption of graph database services & tools and related technologies. The investment created by vendors is also fueling the growth of the market.Competitors Analysis
The companies include DataStax, Franz Inc., Neo4j, Inc., Oracle Corporation, OrientDB, MongoDB, Objectivity Inc., Stardog Union Inc., Teradata Corporation, Microsoft and other prominent players in the global graph databases market. Key Stakeholders- Market research and consulting firms
- Industry associations
- Graph Databases Firms
- Local Governments
- Regulatory bodies
- Suppliers
- Retailers
Recent Developments
- In June 2021-NEO4J version 4.3 of the enterprise’s graph database was released, including incremental enhancements that showcase earlier inventions. The latest version adds association chain locking in higher write trade throughput, graph data science, parallelized backup, and increased execution through smart IO scheduling and connection and connection property indexes.
- In April 2021- MANTA, a data lineage platform, declared a strategic alliance with Neo4j to integrate Neo4j’s graph database technology straight into MANTA’s platform for pipeline analysis. Buyers will be capable of quickly processing increasingly large volumes of data with improved graph database capabilities as companies continue to transition digitally.
- In April 2021- MarkLogic data hub central, a unique low-code/no-code user interface for MarkLogic data hub, has been made normally known by MarkLogic Corporation. Data hub central is consistent with MarkLogic data hub in any environment, on-premises or in the cloud, and is sealed with MarkLogic data hub service. It provides enterprises a clear roadmap to cloud modernization by fetching agility and comfort of use to the data infrastructure.
Scope of the Report
| Report Attribute | Details |
|---|---|
| Revenue in 2021 | USD 1.9 billion |
| The revenue forecast in 2028 | USD 7.1 billion |
| Growth Rate | CAGR of 22.5 % from 2022 to 2028. |
| Historical data | 2017 – 2020 |
| Base Year | 2021 |
| Forecast period | 2022 – 2028 |
| Region covered | North America, Europe, Asia-Pacific, South America, and Middle East & Africa |
| Key companies Profiled | The companies DataStax, Franz Inc., Neo4j, Inc., Oracle Corporation, OrientDB, MongoDB, Objectivity Inc., Stardog Union Inc., Teradata Corporation, and Microsoft, are the key players. |
Market Modelling
By Component- Software
- Services
- Relational (SQL)
- Non-Relational (NoSQL)
- Community Analysis
- Connectivity Analysis
- Centrality Analysis
- Path Analysis
- Cloud
- On-Premise
- Identity and Access Management
- Customer Analytics
- Recommendation Engine
- Master Data Management
- Privacy and Risk Compliance
- Fraud Detection and Risk Management
- Others
- Banking, Financial Services and Insurance (BFSI)
- IT & Telecommunication
- Retail
- Healthcare
- Life Science
- Media & Entertainment
- Government
- Others
- North America
- Europe
- Asia Pacific
- South America
- The Middle East & Africa
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Table Of Contents
Report Content
- Research Strategic Development
- Market Modelling
- Product Analysis
- Market Trend and Economic Factors Analysis
- Market Segmental Analysis
- Geographical Mapping
- Country Wise Segregation
- Research Methodology
- Secondary Research
- Primary Research
- Data Triangulation
- Historical Data
- Identification of Segment
- Market Size Calculating
- Research Objective
- Executive Summary
- Market Insights
- Economic Factor Analysis
- Drivers
- Trends
- Opportunities
- Challenges
- Technological Innovation
- Competitors & Product Analysis
- Regulatory Framework for Graph Databases
- Company market share analysis, 2021
- Porter’s Five forces analysis
- New Investment Analysis
- PESTEL Analysis
- Impact of COVID-19 Global on Graph Databases Market
- Pre Covid-19 Impact on Global Graph Databases Market
- Covid-19 Impact on Global Graph Databases Market
- Post Covid-19 Impact on Global Graph Databases Market
- Economic Impact study on Global Graph Databases Market
- Economic Factor Analysis
- Global Graph Databases Market Overview
- Global Market Size & Forecast, 2017-2028
- Demand
- By Value (USD Billion)
- Market Share & Forecast, 2017-2028
- By Component
- Software
- Services
- By Type
- Relational (SQL)
- Non-Relational (NoSQL)
- By Analysis Type
- Community Analysis
- Connectivity Analysis
- Centrality Analysis
- Path Analysis
- By Deployment
- Cloud
- On-Premise
- By Application
- Identity and Access Management
- Customer Analytics
- Recommendation Engine
- Master Data Management
- Privacy and Risk Compliance
- Fraud Detection and Risk Management
- Others
- By End-User
- Banking, Financial Services and Insurance (BFSI)
- IT & Telecommunication
- Retail
- Healthcare
- Life Science
- Media & Entertainment
- Government
- others
- By Region
- North America
- Europe
- Asia Pacific
- South America
- The Middle East & Africa
- By Component
- Demand
- Global Market Size & Forecast, 2017-2028
- North America Graph Databases Market Overview
- North America Graph Databases Market Size & Forecast, 2017-2028
- Demand
- By Value (USD Billion)
- North America Graph Databases Market Share & Forecast, 2017-2028
- By Component
- Software
- Services
- By Type
- Relational (SQL)
- Non-Relational (NoSQL)
- By Analysis Type
- Community Analysis
- Connectivity Analysis
- Centrality Analysis
- Path Analysis
- By Deployment
- Cloud
- On-Premise
- By Application
- Identity and Access Management
- Customer Analytics
- Recommendation Engine
- Master Data Management
- Privacy and Risk Compliance
- Fraud Detection and Risk Management
- Others
- By End-User
- Banking, Financial Services and Insurance (BFSI)
- IT & Telecommunication
- Retail
- Healthcare
- Life Science
- Media & Entertainment
- Government
- others
- By Country
- US
- Canada
- Mexico
- By Component
- Demand
- North America Graph Databases Market Size & Forecast, 2017-2028
- Europe Graph Databases Market Overview
- Europe Graph Databases Market Size & Forecast, 2017-2028
- Demand
- By Value (USD Billion)
- Europe Graph Databases Market Share & Forecast, 2017-2028
- By Component
- Software
- Services
- By Type
- Relational (SQL)
- Non-Relational (NoSQL)
- By Analysis Type
- Community Analysis
- Connectivity Analysis
- Centrality Analysis
- Path Analysis
- By Deployment
- Cloud
- On-Premise
- By Application
- Identity and Access Management
- Customer Analytics
- Recommendation Engine
- Master Data Management
- Privacy and Risk Compliance
- Fraud Detection and Risk Management
- Others
- By End-User
- Banking, Financial Services and Insurance (BFSI)
- IT & Telecommunication
- Retail
- Healthcare
- Life Science
- Media & Entertainment
- Government
- others
- By Country
- Germany
- UK
- France
- Italy
- Spain
- Rest of Europe
- By Component
- Demand
- Europe Graph Databases Market Size & Forecast, 2017-2028
- Asia Pacific Graph Databases Market Overview
- Asia Pacific Graph Databases Market Size & Forecast, 2017-2028
- Demand
- By Value (USD Billion)
- Asia Pacific Graph Databases Market Share & Forecast, 2017-2028
- By Component
- Software
- Services
- By Type
- Relational (SQL)
- Non-Relational (NoSQL)
- By Analysis Type
- Community Analysis
- Connectivity Analysis
- Centrality Analysis
- Path Analysis
- By Deployment
- Cloud
- On-Premise
- By Application
- Identity and Access Management
- Customer Analytics
- Recommendation Engine
- Master Data Management
- Privacy and Risk Compliance
- Fraud Detection and Risk Management
- Others
- By End-User
- Banking, Financial Services and Insurance (BFSI)
- IT & Telecommunication
- Retail
- Healthcare
- Life Science
- Media & Entertainment
- Government
- others
- By Country
- China
- India
- Japan
- Australia
- South Korea
- Rest of Asia Pacific
- By Component
- Demand
- Asia Pacific Graph Databases Market Size & Forecast, 2017-2028
- South America Graph Databases Market Overview
- South America Graph Databases Market Size & Forecast, 2017-2028
- Demand
- By Value (USD Billion)
- South America Graph Databases Market Share & Forecast, 2017-2028
- By Component
- Software
- Services
- By Type
- Relational (SQL)
- Non-Relational (NoSQL)
- By Analysis Type
- Community Analysis
- Connectivity Analysis
- Centrality Analysis
- Path Analysis
- By Deployment
- Cloud
- On-Premise
- By Application
- Identity and Access Management
- Customer Analytics
- Recommendation Engine
- Master Data Management
- Privacy and Risk Compliance
- Fraud Detection and Risk Management
- Others
- By End-User
- Banking, Financial Services and Insurance (BFSI)
- IT & Telecommunication
- Retail
- Healthcare
- Life Science
- Media & Entertainment
- Government
- others
- By Country
- Brazil
- Argentina
- Rest of South America
- By Component
- Demand
- South America Graph Databases Market Size & Forecast, 2017-2028
- The Middle East & Africa Graph Databases Market Overview
- The Middle East & Africa Graph Databases Market Size & Forecast, 2017-2028
- Demand
- By Value (USD Billion)
- The Middle East & Africa Graph Databases Market Share & Forecast, 2017-2028
- By Component
- Software
- Services
- By Type
- Relational (SQL)
- Non-Relational (NoSQL)
- By Analysis Type
- Community Analysis
- Connectivity Analysis
- Centrality Analysis
- Path Analysis
- By Deployment
- Cloud
- On-Premise
- By Application
- Identity and Access Management
- Customer Analytics
- Recommendation Engine
- Master Data Management
- Privacy and Risk Compliance
- Fraud Detection and Risk Management
- Others
- By End-User
- Banking, Financial Services and Insurance (BFSI)
- IT & Telecommunication
- Retail
- Healthcare
- Life Science
- Media & Entertainment
- Government
- others
- By Country
- Saudi Arabia
- UAE
- South Africa
- Rest of the Middle East & Africa
- By Component
- Demand
- The Middle East & Africa Graph Databases Market Size & Forecast, 2017-2028
- Competitor Analysis
- Company Description
- Financial Analysis
- Key Products
- Key Management Personnel
- Contact Address
- SWOT Analysis
- Company Profile
- DataStax
- Franz Inc.
- Neo4j, Inc.
- Oracle Corporation
- OrientDB
- MongoDB
- Objectivity Inc.
- Stardog Union Inc.
- Teradata Corporation
- Microsoft
- Other Prominent Players
Methodology
Request Sample
Frequently Asked Questions (FAQ):
Graph Database uses graph formats for semantic queries with nodes, edges, and effects to represent and store data. Each node denotes an entity (a person or business), and each edge represents a connection or relationship between two nodes. Graph databases are technologies that are translations of the relational OLTP (online transaction processing) databases.
The global graph database market was USD 1.9 billion in 2021 to USD 7.1 billion by 2028, growing with a CAGR of 22.5% during the forecast period of 2022-2028.
The companies DataStax, Franz Inc., Neo4j, Inc., Oracle Corporation, OrientDB, MongoDB, Objectivity Inc., Stardog Union Inc., Teradata Corporation, and Microsoft, are the key players in the global graph databases market.
Though the COVID–19 period has thrown light on weaknesses in business standards across verticals, it has presented several digitalization opportunities. The retail and manufacturing sectors encountered a significant drop in business performance during the first and second quarters of 2020.
North America region is expected to have significant CAGR and market growth during the forecast period.
