Graph Database Market - Global Industry Analysis

Graph Database Market By Component (Software and Services), By Deployment Mode (On-premise and Cloud), By Organization Size (Large Enterprises, Small and medium-sized enterprises (SMEs)), By Type (RDF and Labeled Propert Graph), By Application (Customer Analytics, Risk, Compliance and Reporting Management, Recommendation Engines, Fraud Detection and Prevention, Supply Chain Management, Operations Management and Asset Management, Infrastructure Management, IoT, Industry 4.0, Knowledge Management, Content Management, Data Extraction and Search, Metadata and Master Data Management, Scientific Data Management, Others (Chatbot, digital twin, scientific, Product and Technical Information Management, and Human Capital Management)), By Vertical (BFSI, Retail and eCommerce, Telecom and IT, Healthcare, Pharmaceuticals, and Life Sciences, Government and Public Sector, Manufacturing and Automotive, Media and Entertainment, Energy and Utilities, Travel and Hospitality, Transportation and Logistics, and Others) and By Region – Global and Regional Industry Overview, Market Intelligence, Comprehensive Analysis, Historical Data, and Forecasts 2022 - 2028

Published Date: 28-Apr-2022 Category: Technology & Media Report Format : PDF Pages: 160 Report Code: ZMR-1965 Status : Published

The global graph database market was worth around USD 1827.5 million in 2021 and is estimated to grow to about USD 5996.24845178325 million by 2028, with a CAGR of approximately 21.9 percent over the forecast period. Report Provides Key Values, Shares, leaders info, historical data, and Trends

Description

Industry Prospective:

The global graph database market was worth around USD 1827.5 million in 2021 and is estimated to grow to about USD 5996.24845178325 million by 2028, with a compound annual growth rate (CAGR) of approximately 21.9 percent over the forecast period. The report analyzes the digital remittance market’s drivers, restraints/challenges, and the effect they have on the demands during the projection period. In addition, the report explores emerging opportunities in the digital remittance market.

Graph Database Market: Overview

A graph database is a database that makes use of graph structures for semantic queries with nodes, edges, and properties to represent and accumulate data. The graph relates the data items in the store to a collection of nodes and edges; the edges represent the relationships between the nodes. A graph database is built to handle highly connected data, and the increase in the volume and connectedness of today's data presents a tremendous opportunity for sustained market growth. Global Graph Database Market report provides an all-inclusive evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a considerable role in the market.

Large enterprises are set to boost the adoption of graph database tools as the application of these tools and services simplifies risk and compliance management tasks. Growing reliance on connected data for fraud detection across various industries including e-commerce, banking, financial services, and insurance, contributes to the growth of the global graph database market.

Global Graph Database Market

COVID-19 Impact:

COVID–19 had a substantially negative impact on businesses due to lockdowns imposed by governments to curb the spread of the virus. However, the COVID–19 outbreak has provided several opportunities for companies to digitalize and expand operations across borders as the adoption and implementation of technologies such as big data, Artificial Intelligence (AI), predictive analysis, Internet of Things (IoT), and blockchain technology increased during the initial lockdowns which impact global database market quite positively. In 2020, the retail and manufacturing industries faced significant challenges. However, with the introduction of vaccinations and significant control of the virus, companies operating in such industries are projected to attract substantial investments over the forecast period because graph database solutions have gained more popularity across various business operations. Also, many government organizations and private sectors adopted the graph database for managing uncertainty in real-time.

Graph Database Market: Growth Drivers

Real-time big data mining with visualization of results to drive the Graph Database Market

Graph database eases the distribution of any data across data centers, making business applications ready to scale, and able to create real-time insights and experiences. Moreover, it helps display insights through data visualizations and provides a real-time forecast for streaming data. The growing consensus toward graph database is the most direct path to extracting business decisions from the value found in the data.

Graph Database Market: Restraints

Shortage of skilled professionals and requirement of technical expertise

Insights from graph database data require a high level of technical expertise and the shortage of skilled professionals are major factor hampering the revenue growth of the market. Additionally, a lack of standardization is expected to restrain market revenue growth over the forecast period.

Report Scope:

Report Attribute Details
Base Year 2020
Historic Years 2016 - 2020
Forecast Years 2021 - 2028
Segments Covered By Product Type, By Application, and By End Use
Forecast Units Value (USD Billion), and Volume (Units)
Quantitative Units Revenue in USD million/billion and CAGR from 2021 to 2028
Regions Covered North America, Europe, Asia Pacific, Latin America, and Middle East & Africa, and Rest of World
Countries Covered U.S., Canada, Mexico, U.K., Germany, France, Italy, Spain, China, India, Japan, South Korea, Brazil, Argentina, GCC Countries, and South Africa, among others
Number of Companies Covered 10 companies with scope for including additional 15 companies upon request
Report Coverage Market growth drivers, restraints, opportunities, Porter’s five forces analysis, PEST analysis, value chain analysis, regulatory landscape, market attractiveness analysis by segments and region, company market share analysis, and COVID-19 impact analysis.
Customization Scope Avail customized purchase options to meet your exact research needs.

Graph Database Market: Segmentation

The global graph database market is segregated based on Component, Deployment Mode, Organization Size, Type, Application, and Vertical.

By Component, the global market is distinguished into Software and Services. The software segment has been analyzed to attribute to the majority of share in the Graph Database Market during the forecast period 2021-2028 owing to the rising demand for software, as a massive volume of data is continuously generated due to which managing data using a traditional relational database structure is difficult for enterprises. The creation of data amounting to big data has forced vendors to design graph database software and help Information Technology teams simplify and manage their decision-making process.

By Deployment Mode, the global market is distinguished into Cloud and On-premises. The on-Premises segment is expected to account for larger market growth and revenue growth. On-premises can provide organizations with an available network even if there is no internet connection. These are the factors that the on-premises segment is forecasted to grow more than the cloud.

Recent Developments

  • In March 2021, the Technical University of Denmark (DTU) broadcasted a strategic partnership with TigerGraph which is a leading provider of graph database and graph analytics software. The purpose of this partnership is to improve the treatment of acute lymphoblastic leukemia with TigerGraph’s superior graph analytics with machine learning and artificial intelligence (AI) techniques.
  • In April 2019, Neo4j Inc. announced a strategic partnership with Google Cloud offered by Google LLC. The intention of this partnership is to offer the Neo4j a seamless and enhanced experience after the integration of the Google Cloud Platform console, support services, and billing.
  • In October 2020, Microsoft introduced a new AI system that can caption and describe images. The new AI system helps caption and describe images even better than humans.

Regional Landscape

North America is forecasted to have the largest market share in the graph database market. Factors influencing the growth of the graph database market in North America include the increasing technological advancements and the growing number of graph database players across this region. The Asia Pacific region is expected to register a steady growth during the forecast period, as many Asian countries such as India, China, Japan, and South Korea are leveraging information-intensive technologies to gain a competitive edge over other players. The Europe graph database market is expected to register a significantly steady CAGR over the forecast period. Increasing execution of Industry 4.0 across industries in countries in the region will drive the adoption of the graph database, which in turn is expected to fuel Europe market revenue growth during the forecast period.

Competitive Landscape

Some of the main competitors dominating the global Graph Database Market include - Oracle Corporation (US), IBM Corporation (US), Amazon Web Services, Inc. (US), DataStax (US), Ontotext (Bulgaria), Stardog Union (US), Hewlett Packard Enterprise (US), ArangoDB (US), Blazegraph (US), Microsoft Corporation (US), SAP SE (Germany), Teradata Corporation (US), Openlink Software (US), MarkLogic Corporation (US), TIBCO Software, Inc. (US), Neo4j, Inc. (US), GraphBase (Australia), Cambridge Semantics (US), TigerGraph, Inc. (US), Objectivity Inc. (US), Bitnine Co, Ltd. (US), Franz Inc. (US), Redis Labs (US), Graph Story (US), Dgraph Labs (US), Eccenca (Germany), and Fluree (US).

Global Graph Database Market is segmented as follows:

By Component

  • Software
  • Services

By Deployment Mode

  • Cloud
  • On-premises Large

By Organization Size

  • Large enterprises
  • Small and medium-sized enterprises (SMEs)

By Type

  • RDF
  • Labeled Propert Graph

By Application

  • Customer Analytics
  • Risk, Compliance and Reporting Management
  • Recommendation Engines
  • Fraud Detection and Prevention
  • Supply Chain Management
  • Operations Management and Asset Management
  • Infrastructure Management, IoT, Industry 4.0
  • Knowledge Management
  • Content Management, Data Extraction and Search
  • Metadata and Master Data Management
  • Scientific Data Management
  • Others (Chatbot, digital twin, scientific, Product and Technical Information Management, and Human Capital Management)

By Vertical

  • BFSI
  • Retail and eCommerce
  • Telecom and IT
  • Healthcare, Pharmaceuticals, and Life Sciences
  • Government and Public Sector
  • Manufacturing and Automotive
  • Media and Entertainment
  • Energy and Utilities
  • Travel and Hospitality
  • Transportation and Logistics
  • Others

By Region

  • North America
    • The U.S.
    • Canada
  • Europe
    • France 
    • The UK
    • Spain
    • Germany
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East & Africa
    • GCC
    • South Africa
    • Rest of Middle East & Africa

Table Of Content

Methodology

Free Analysis

Graph database is a NoSQL database that uses graph data model consisting of vertices, corresponding to an entity such as object, place and person. It can even be a relevant piece of edges and data that represent relationship between nodes. Graph database are helpful as they highlight relationships and links between data similarity. Neo4j is the global leading graph database with most widely adopted and more than 5 lakh downloads. It has the largest ecosystem such as code contributions and active forums etc. It is recognized as the most mature product and is in development from 2000. It is produced and marketed since 2003.

Data is a critical component of any business application and system in an organization from supply chain operations to finance, marketing and customer account management etc. Graph data management offers the solution of representing data consistently across overall organization. Thus enabling the data stewards to enrich, cleanse, synchronize, match and model data across multiple domains. It even scales to accomplish growth in business user demands, applications and data volume. These multiple applications of the system are projected to propel graph database market during the forecast period. 

Global Graph Database Market

Organizations need data in real time and right place to meet business requirements and to stay agile in today’s digital environment. Graph data management can reduce cost along with improving performance in business operations through supply chain, manufacturing, marketing, and product development optimization.

80 percent of all IT budgets in organizations will be allocated to cloud solutions and apps in next 15 months from April 2017. “Cloud First” has become a priority for organizations preferring deployment of applications that can be deployed in the cloud or purchased as a service. Numerous organizations are switching to “Cloud First” to be in pace with their supplier and partner networks. Ability to deliver excellent customer experience through “Cloud First” is acting as a strong catalyst in its adoption by the organizations. Positive outlook of the system in near future is anticipated to fuel graph database market till 2024.

Global graph database market is segmented on the basis of solution as software and services. Software segment is anticipated to be the most attractive segment over the forecast period as it has maximum growth rate along with the potential to capture highest market share till 2022. Launch of new software products by companies along with advancements in the existing versions will give a positive outlook to the segment. Various verticals having applications in graph database market are financial services, manufacturing, public sector, telecom, retail, travel and hospitality, and others. Financial services will witness a substantial growth during the forecast period owing to stabilizing economies of developing countries. Brazil and Argentina have registered significant gains in their economic outlook in 2017. 

Asia Pacific will witness the highest gains in global graph database market due to presence of emerging producers in IT industry in India and Indonesia. Established IT sector in Latin America is also an attractive regional market for the product application as it features its recovering economy after a consecutive decline of four years.
Prominent manufacturers in the market include Oracle Corporation, IBM, Neo Technology, Inc., Franz Inc, DataStax, Inc., Objectivity, Inc, Sparsity Technologies, ArangoDB GmbH, OrientDB LTD and Sirma AI.

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FrequentlyAsked Questions

Graph database eases the distribution of any data across data centers, making business applications ready to scale, and able to create real-time insights and experiences. Moreover, it helps display insights through data visualizations and provides a real-time forecast for streaming data. The growing consensus toward graph database is the most direct path to extracting business decisions from the value found in the data.

 

According to the Market Research report, the global graph database market was worth around USD 1827.5 million in 2021 and is estimated to grow to about USD 5996.24845178325 million by 2028, with a compound annual growth rate (CAGR) of approximately 21.9 percent over the forecast period.

 

North America is forecasted to have the largest market share in the graph database market. Factors influencing the growth of the graph database market in North America include the increasing technological advancements and the growing number of graph database players across this region. The Asia Pacific region is expected to register a steady growth during the forecast period

Some of the main competitors dominating the Graph Database Market include - Oracle Corporation (US), IBM Corporation (US), Amazon Web Services, Inc. (US), DataStax (US), Ontotext (Bulgaria), Stardog Union (US), Hewlett Packard Enterprise (US), ArangoDB (US), Blazegraph (US), Microsoft Corporation (US), SAP SE (Germany), Teradata Corporation (US), Openlink Software (US), MarkLogic Corporation (US), TIBCO Software, Inc. (US), Neo4j, Inc. (US), GraphBase (Australia), Cambridge Semantics (US), TigerGraph, Inc. (US), Objectivity Inc. (US), Bitnine Co, Ltd. (US), Franz Inc. (US), Redis Labs (US), Graph Story (US), Dgraph Labs (US), Eccenca (Germany), and Fluree (US).

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