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2019
Graph Database Market

Graph Database Market

by Component (Software and Services), Deployment Model (On-premise and Cloud), Type of Database (Relational (SQL) and Non-relational (NoSQL)), Analysis Type (Path Analysis, Connectivity Analysis, Community Analysis and Centrality Analysis), Application (Fraud Detection & Risk Management, Master Data Management, Customer Analytics, Identity & Access Management, Recommendation Engine, Privacy & Risk Compliance, and Others), Organization Size (Large Enterprises and Small & Medium Enterprises), Industry Vertical (BFSI, Retail & Ecommerce, IT & Telecom, Healthcare & Life science, Government & Public Sector, Media & Entertainment, Manufacturing, Transportation & Logistics, and Others): Global Opportunity Analysis and Industry Forecast, 2019-2026
Update Available On-Demand

Report Code: A04996
Pages: 400
Jun 2019 | 11064 Views
Author(s) : Rachita R , Supradip B
Tables: 171
Charts: 62
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Graph Database Market Outlook - 2026

Graph database is a database that uses graph structures for semantic queries with nodes, edges, and properties to represent and store data. The graph relates the data items in the store to a collection of nodes and edges; the edges representing the relationships between the nodes. It is a mainstream technology especially in data management for enterprises, which finds applications in numerous industries and sectors. The graph database technology offers several advantages for overcoming problems faced while analyzing large and complex data as compared to other database solutions. These benefits and systems possess the ability for scaling and handling naturally large data sets. The global graph database market size was valued at $651 million in 2018, and is projected to reach $3,731 million by 2026, growing at a CAGR of 24.5% from 2019 to 2026.

Graph Database Market

The software segment dominated the overall graph database market in 2018, and is expected to continue this trend during the forecast period, owing to surge in need for software, as massive volume of data is continuously  generated due to which managing data using a traditional relational database infrastructure is difficult for enterprises. However, the service segment is expected to witness the highest CAGR during the forecast period, due to increase in adoption of services among end users, as they ensure effective functioning of software and platforms throughout the process.

Graph Database Market

The IT & telecom industry dominated the graph database market in 2018, and is expected to continue this trend during the forecast period. This is attributed to the fact that telecommunication operators are increasingly focusing on this technology to achieve competitive gain, as many of the critical data sets in telecommunications are graphs, such as network graph, social graph, call center graph, and the master data graph. However, the transportation & logistic industry is expected to witness highest CAGR during the graph database market forecast period, due to increase in adoption of graph database technology in this industry to compute fast, to enable localized door-to-door delivery of goods between buyers & sellers, and to scale their business to include the supply chain.

Graph Database Market

North America dominated the overall graph database market share in 2018, as the organizations operating in this region highly rely on data, which is driving the adoption of graph database tools and related technologies. Furthermore, the emergence of technology-based enterprises and industries has created the significant growth opportunities for the graph database vendors in this region. However, Asia-Pacific is expected to grow at the highest CAGR during the forecast period, as many Asian countries are leveraging information-intensive technologies to gain a competitive edge over other players.

Graph Database Market

The report focuses on the growth prospects, restraints, and graph database market trends. The study provides Porter’s five forces analysis of the graph database industry to understand the impact of various factors such as bargaining power of suppliers, competitive intensity of competitors, threat of new entrants, threat of substitutes, and bargaining power of buyers on the graph database market growth.

Segment review

The global graph database market is segmented into component, deployment model, type of databases, analysis type, application, organization size, industry vertical, and region. Based on component, the market is bifurcated into software and services. By deployment mode, it is divided into on-premise and cloud. On the basis of analysis type, it is classified into path analysis, connectivity analysis, community analysis, and centrality analysis. The applications covered in the study include fraud detection & risk management, master data management, customer analytics, identity & access management, recommendation engine, privacy & risk compliance, and others. Depending on organization size, it is categorized into large enterprises and small & medium enterprises. As per industry vertical, it is segregated into BFSI, retail & e-commerce, IT & telecom, healthcare & life science, government & public sector, media & entertainment, manufacturing, transportation & logistics, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The key players operating in the global graph database industry include DataStax, Franz Inc., Neo4j, Inc., Oracle Corporation, OrientDB, MongoDB, Objectivity Inc., Stardog Union Inc., Teradata Corporation, and Microsoft Corporation. 

Top impacting factors   

Surge in adoption of graph database software in the healthcare sector, increase in application areas of graph database, rise in need for better response time & accuracy to discover new data correlations, and upsurge in penetration of connected data to optimize marketing performance are the key factors that impact the growth of the graph database market. However, lack of technical expertise and high setup costs are expected to hamper the market growth. Furthermore, increase in use of virtualization for big data analytics and ongoing technological advancements in graph database technology are expected to provide lucrative opportunities for the graph database market.

Increase in adoption of graph database software in healthcare sector

Graph database software plays a key role in the healthcare and life sciences sectors for recording patient’s information and to provide this information to numerous patients or healthcare providers. Healthcare-focused start-ups are leveraging the graph database technology to cater to the unmet needs of customers. For instance, Zephyr Health, a health-focused start-up is leveraging graph database technology as one important component of its service offerings. Moreover, healthcare organizations and institutions are using graph database tools to improve and enhance the operational efficiency, safety, reduce costs, and improvise the quality of patient care, thus fueling its adoption in the healthcare sector. Furthermore, by using graph database technology, healthcare organizations are leveraging the connections within their existing data such as connected genome or information related to patient treatments, which is opportunistic for the graph database market.

Rise in penetration of connected data to optimize marketing performance

Graph databases are majorly designed for highly interconnected data. It works best when the data is connected, and should be represented by how it links or refers to other data, by way of many-to-many relationships; for instance, the application of graph database technology in social network. Moreover, graph databases reduce the amount of work needed to construct and display the data views found in social networks, such as activity feeds, or determining whether or not the user might know a given person in the network. Moreover, for highly connected data, graph database technology provides numerous benefits as compared to other relational databases, including enhanced performance, improved flexibility, and easier data modeling, which are expected to provide lucrative opportunities for the graph database market. For instance, highly connected data can cause a lot of joins, which generally are expensive. After over seven self/recursive joins, the relational database management system slows down considerably as compared to graph databases.

Covid-19 Impacts on Graph Database Market-

  • The demand for graph database tool is anticipated to surge during the Covid-19 pandemic to identify and track the people affected from corona virus. This is done by collecting and processing the GPS coordinate and real time location details of the affected people and links them in a searchable database.
  • In addition, its demand is also likely to surge from government agencies to identify the Covid-19 containment zones to control the transmission of corona virus.  

Key Benefits for Graph Database Market:

  • This study includes the global graph database market analysis, trends, and future estimations to determine the imminent investment pockets.
  • The report presents information related to key drivers, restraints, and graph databases market opportunity.
  • The graph database market size is quantitatively analyzed from 2018 to 2026 to highlight the financial competency of the graph databases industry.
  • Porter’s five forces analysis illustrates the potency of buyers & suppliers in the industry.

Graph Database Key Market Segments:

By Component

  • Software
  • Services

By Deployment Model

  • On-premise
  • Cloud

By Type Of Database

  • Relational (SQL)
  • Non-relational (NoSQL)

By Analysis Type

  • Path Analysis
  • Connectivity Analysis
  • Community Analysis
  • Centrality Analysis

By Application

  • Fraud Detection & Risk Management
  • Master Data Management
  • Customer Analytics
  • Identity and Access Management
  • Recommendation Engine
  • Privacy and Risk Compliance
  • Others

By Organization Size

  • Large Enterprises
  • Small & Medium Enterprises

By Industry Vertical

  • BFSI
  • Retail and Ecommerce
  • IT and Telecom
  • Healthcare and Life Science
  • Government and Public Sector
  • Media & Entertainment
  • Manufacturing
  • Transportation & Logistics
  • Others

By Region

  • North America
    • U.S.
    • Canada
  • Europe
    • Germany
    • France
    • UK
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • Japan
    • China
    • Australia
    • India
    • South Korea
    • Rest of Asia-Pacific
  • LAMEA
    • Latin America
    • Middle East
    • Africa

Key Market Players

  • DataStax
  • Franz Inc.
  • Neo4j, Inc.
  • Oracle Corporation
  • OrientDB
  • MongoDB
  • Objectivity Inc.,
  • Stardog Union Inc.
  • Teradata Corporation
  • Microsoft
 

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The graph database market is emerging, and a number of open source projects are available in the market. In addition, owing to the availability of large number of vendors, the market has become highly competitive in nature. Nevertheless there are still new products coming on to the marketplace. For instance, in May 2019, DataStax launched DataStax Constellation, a cloud data platform for simplifying the operation and development of modern applications. Constellation will be launched with two cloud services, DataStax Insights and DataStax Apache Cassandra as a Service. Moreover, in December 2018, MongoDB launched MongoDB Charts to remove the technical barriers to data visualization. Conversely, there are companies which have been in this market for more than a decade, hence, the graph database technology is not entirely new. One noticeable trend is for triple store vendors to add support for property graphs.

The global graph database market is highly competitive fragmented, owing to the presence of several international and regional vendors. The local vendors find it difficult to compete in terms of quality, safety, features, and price, as the global players are expanding in many regions. Many international players are expected to grow during the forecast period by acquiring domestic players who will increase their market shares by expanding their product portfolios. Some of the major key players profiled in the report include DataStax, Franz Inc., Neo4j, Inc., Oracle Corporation, OrientDB, MongoDB, Objectivity Inc., Stardog Union Inc., Teradata Corporation, and Microsoft Corporation. These players have adopted various strategies to enhance their service offerings and increase their market penetration.

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