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Graph Database Market Analysis, Trends, Growth, Research And Forecast 2032

Graph Database Market

Graph Database Market

The Business Research Company's global market reports are now updated with the latest market sizing information for the year 2023 and forecasted to 2032

The Business Research Company's Graph Database Global Market Report 2023 identifies increase in demand for graph analytics in machine learning and artificial intelligence (AI) as the major driver for the graph database market's growth in the forecast period. Graph analytics is a modern type of data analysis that assists businesses in understanding complicated interactions between linked entity data in a network or graph. Graph databases will provide graph models to represent relationships. They enable users to employ these models with pattern recognition, classification, statistical analysis, and machine learning, enabling more effective analysis at scale against vast amounts of data.

The global graph database market size is expected to grow from $2.08 billion in 2022 to $2.58 billion in 2023 at a compound annual growth rate (CAGR) of 23.9%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The graph database market size is expected to grow to $6.20 billion in 2027 at a CAGR of 24.5%.

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Major competitors in the graph database market are Oracle Corporation, International Business Machines Corporation, Amazon Web Services, DataStax, Stardog Union, Hewlett Packard Enterprise, Microsoft Corporation, SAP SE, Teradata Corporation

A key trend in the graph database market includes technological advancement. Major companies operating in the graph database market are focused on developing new technological solutions to strengthen their position. For instance, in June 2021, Neo4j, a US-based graph database company, launched Neo4j version 4.3, with a single active and multi-passive structure of cloud scalability, Neo4j 4.3 represents an alternative to replicated DBMSs that is more conventional and provides cloud scalability and security advancements to database and security at the corporate level that ensures transactions with no data loss.

Read More On The Global Graph Database Market Report Here:
https://www.thebusinessresearchcompany.com/report/graph-database-global-market-report

The graph database market is segmented -
• By Type: RDF, Labeled Propert Graph

• By Component: Software, Services

• By Deployment Mode: Cloud, On-Premises

• By Application Type: Consumer Analytics, Deep Learning, Regulatory Compliance, Recommendation Engines, Identity and Access Management, Fraud Detection, Supply Chain Management, Other Applications

• By End-Use: BFSI, Retail and E-Commerce, IT and Telecommunication, Transportation and Logistics, Other End-Users

• By Geography: Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. North America was the largest region in the graph database market.

The Business Research Company's "Global Graph Database Market Report 2023" provides a thorough understanding of the market across 60 geographies. The report covers market size, growth rate, segments, drivers and trends in every region and country. In addition, the report offers insights on historical and forecast growth, helping players analyze and strategize better.

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The Table Of Content For The Graph Database Market Include:
1. Executive Summary
2. Graph Database Market Characteristics
3. Graph Database Market Trends And Strategies
4. Graph Database Market - Macro Economic Scenario
5. Graph Database Market Size And Growth
……
26. Africa Graph Database Market
27. Graph Database Market Competitive Landscape And Company Profiles
28. Key Mergers And Acquisitions In The Graph Database Market
29. Graph Database Market Future Outlook and Potential Analysis
30. Appendix

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