Global Graph Database Market is Driven by the Increasing Demand of AI-based Graph Database Tools and Services

Graph Database Market is estimated to grow at 24.20% for 2019-2026 with factors such as dearth of standardization and programming ease along with lack of awareness among consumers which will impede the growth of the market in emerging economies.

Graph database market has shown an exceptional penetration in developed economies in North America. Increasing demand for data analytics solutions and continuous focus to deliver personalized customer experience by organizations across various industries which will help in boosting the growth of the market.

Graph Database Market Scenario

According to Data Bridge Market Research the graph database market is attaining a significant growth in developing economies during the forecast period of 2019-2026 due to factors such as increasing demand of system that has capability to process low-latency queries, rising real-time big data mining with effect of visualization, increasing demand of AI-based graph database tools and services which will likely to enhance the growth of the market.

Now the question is which are the other regions that graph database market is targeting? Data Bridge Market Research has estimated a large growth in Asia-Pacific graph database market in the forecast period of 2019-2026. The Data bridge market research new reports highlight the major growth factors and opportunities in the graph database market.

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 Graph Database Market Scope

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

  • All country based analysis of the graph database market is further analyzed based on maximum granularity into further segmentation. On the basis of type, the market is segmented into resource description framework, and property graph. Based on component, the market is segmented into tools and services. Based on deployment mode, the market is segmented into on-premises, and cloud. Based on organization size, the market is segmented into small and medium-sized enterprises, and large enterprises. Based on industry vertical, the market is segmented into retail and ecommerce, transportation and logistics, healthcare and life sciences, manufacturing, government and public sector, banking, financial services, and insurance, telecom and IT, and others. The applications covered for the report are recommendation engines, fraud detection, customer analytics, and risk and compliance management.   
  • Graph database is an online system for managing databases. It is a component of NoSQL databases created primarily to overcome the constraints of existing relational databases. It is composed of edges and nodes. It utilizes the theory of graphs to store, map and query relationships. These databases are widely used to solve critical business solutions, such as the problem of supply chain management, and customer relationships.  

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Key Pointers Covered in the Graph Database Market Industry Trends and Forecast to 2026

  • Market Size
  • Market New Sales Volumes
  • Market Replacement Sales Volumes
  • Market By Brands
  • Market Procedure Volumes
  • Market Product Price Analysis
  • Market Regulatory Framework and Changes
  • Market Shares in Different Regions
  • Recent Developments for Market Competitors
  • Market Upcoming Applications
  • Market Innovators Study

Key Market Competitors Covered in the report

  • Oracle
  • IBM Corporation
  • Microsoft
  • Amazon Web Services, Inc.
  • Neo4j, Inc.
  • TIBCO Software Inc.
  • Franz Inc
  • OpenLink Software
  • TigerGraph
  • MarkLogic Corporation
  • Cray Inc
  • DataStax, Inc
  • Stardog Union
  • Ontotext
  • Bitnine Co, Ltd.
  • Cambridge Semantics
  • ArangoDB
  • Kompass (UK) Ltd
  • Sparsity Technologies
  • Objectivity Inc.
  • Teradata
  • MongoDB, Inc.

Above are the key players covered in the report, to know about more and exhaustive list of graph database companies,’ contact us

Research Methodology: Global Graph Database Market

Data collection and base year analysis is done using data collection modules with large sample sizes. The market data is analysed and estimated using market statistical and coherent models. Also market share analysis and key trend analysis are the major success factors in the market report. To know more please request an analyst call or can drop down your enquiry.

The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. Apart from this, data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.

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