Graph Database Market Research Report’ the report is complete with an elaborate research undertaken by prominent analysts and a detailed analysis of the global industry place. Moreover, it projects the consumption of submarkets with respect to key regions (along with their respective key countries). This market document also analyzes competitive developments such as expansions, agreements, new product launches, and acquisitions in the market. It strategically profiles the key players and comprehensively analyzes their growth strategies. Graph Database business analysis report is the perfect market research study which helps clients to map their needs. The data and information concerning industry is derived from consistent sources such as websites, annual reports of the companies, journals, and others and were checked and validated by the market experts.

Early adoption of graph database tools and rising industry alliances with many technology companies to deliver data processing and quick analytics solutions. The early stage of technological advancement established fin-tech solutions, and enhancements in information technology are all highly contributing to the growth of this market. Moreover predicted to support market growth due to the uptake of Internet of Things (IoT) and artificial intelligence (AI) devices. As a result of this, there is expected to be a substantial rise in demand for chart database solutions due to augmented investments in cutting-edge technologies such as machine learning (ML) in the coming years.

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Data Bridge Market Research analyses that the graph database market is expected to reach USD 7384.79 million by 2030, which is USD 1938.20 million in 2022, at a CAGR of 18.20% during the forecast period. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.

 “Product definition”

Graph Database refers to a type of a database which uses graph structures for semantic queries with nodes, edges and properties to store and represent the data. Each edge represents a connection or relationship and each node represents an entity between two nodes. Graph databases are those technologies that translate the relational online transaction processing (OLTP) databases.

Future Outlook and by Top key players Analysis

  • Teradata (U.S.)
  • Hewlett Packard Enterprise Development LP (U.S.)
  • IBM Corporation (U.S.)
  • Microsoft (U.S.)
  • Siemens AG (Germany)
  • ANSYS, Inc (U.S.)
  • SAP SE (Germany)
  • Oracle (U.S.)
  • Robert Bosch GmbH (Germany)
  • ai, Inc. (U.S.)
  • Atos S.E. (France)
  • ABB (Switzerland)
  • KELLTON TECH (India)
  • AVEVA Group plc (U.K.)
  • DXC Technology Company (U.S.)
  • Altair Engineering, Inc (U.S.)
  • Hexaware Technologies Limited (India)
  • Tata Consultancy Services Limited (India)
  • Infosys Limited (India)
  • NTT DATA, Inc. (Japan)
  • TIBCO Software Inc. (U.S.)

Recent Development

In 2021, Neo4j launched its new graph database, version 4.3 with incremental upgrades that highlight prior discoveries. As a result of enhanced relationship property indexes and smart IO scheduling, the most current version comprises relationship chain locking for faster write graph data science, transaction speed, and parallelized backup.

In 2021, DataStax, Inc. announced the acquisition of Kafkaesque Technologies Inc., a cloud messaging service completely driven and managed by Apache Pulsar, to speed the delivery of open-source, cloud-native and scale-out streaming of business events for advanced data applications. This acquisition allows companies to provide modern data applications with unlimited scaling, cloud hosting and rapid development speed.

Global Graph Database Market: Segment Analysis


  • Resource Description Framework (RDF)
  • Labeled Property Graph (LPG)


  • Fraud Detection
  • Prevention
  • Recommendation Engine
  • Database (Relational (SQL)
  • Non-relational (NoSQL)

Deployment Model

  • On-premise
  • Cloud

Analysis Type

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


  • Large Enterprises
  • Small and Medium Enterprises


  • Software
  • Services
  • Professional Services
  • Managed Services

 End User

  • Banking, Financial Services and Insurance
  • Telecom and IT
  • Healthcare and Lifesciences
  • Transportation and Logistics
  • Retail and Ecommerce
  • Energy and Utilities
  • Government and Public
  • Manufacturing
  • Others

Graph Database Market Regional Analysis/Insights

The graph database market is analyzed and market size insights and trends are provided by country, type, application, database, deployment model, analysis type, size, component and end user as referenced above.

The countries covered in the graph database market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

North America dominates the graph database market in terms of revenue and market share owing to the presence of well-established fintech solution and early growth of the technology. Furthermore, advancements in information technology will further boost the market growth in this region.

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People looking to enrich the decision-making capability by following points must buy the report:

  1. Breakdown of market share of the top Graph Database industry players
  2. Evaluations of market share for the regional and country level sectors
  3. Estimation of Graph Database market for the forecast period of all the aforementioned classes, sub classes, and the domestic markets
  4. Tactical recommendation for the newbies
  5. Tactical recommendation in primary business industries based on the Graph Database market forecast

Table of Content: Global Graph Database  Market Research Report 2023-2030

Chapter 1: Graph Database Market Overview
Chapter 2: Graph Database Market Economic Impact
Chapter 3: Competition by Manufacturer
Chapter 4: Production, Revenue (Value) by Region (2023-2030)
Chapter 5: Supply (Production), Consumption, Export, Import by Regions (2023-2030)
Chapter 6: Production, Revenue (Value), Price Trend by Type
Chapter 7: Graph Database Market Analysis by Application
Chapter 8: Graph Database Market by Manufacturing Cost Analysis
Chapter 9: Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10: Graph Database Marketing Strategy Analysis, Distributors/Traders
Chapter 11: Graph Database  Market Effect Factors Analysis
Chapter 12: Graph Database Market Forecast (2023-2030)
Chapter 13: Appendix

Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe, MEA or Asia Pacific.

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