Surge in data is expected to boost Graph Database Solutions Demand Worldwide
The global graph database market is poised to reach US$ 6,674.93 Mn by 2030, expanding at a CAGR of 15% over the forecast period from 2023 to 2030. Penetration of Internet of Things (IoT) and Artificial Intelligence (AI) has prominently triggered the volume of data generation per year turning their analysis into more complex process. As per ‘World Economic Forum’ total data generation will reach nearly 463 Exabyte (10006 bytes) by the year 2025. Because of same, most of the companies are struggling with the data handling and their analysis problems. On the other hand, graphical database offers great advantage in terms of ability for scaling and handling large data sets of complex, dynamic, and connected systems. It is the most analytical choice for understanding the relation between networks, devices, sensors, users, and even companies.
Tools Segment dominated the Global Graph Database Market in the year 2020
Tools segment held majority of revenue share in the year 2021 and is projected to continue its dominance during the forecast period. Significant deployment of graph database tools in large enterprises in the past few years is the major factor supporting its dominance in the global graph database market. In addition, increasing social media users and proliferation of e-commerce business has triggered the application of social graph and purchase graph to properly analyze and store the relationship between the data and users. Many social media platforms and e-commerce giants such as Facebook, Amazon, LinkedIn, Microsoft and Twitter have powered their business with graph database solutions.
Asia Pacific witnesses Highest Growth over the Forecast Period
North America dominated the global graph database market in the year 2021. Presence of prominent graph database vendors in the region such as Amazon Web Services, IBM, Microsoft, Neo Technology, Oracle, and Tiger Graph accounts for one of the prime factors behind the significant growth of North America. Moreover, introduction of General Data Protection Regulation (GDPR) in European region has surged the demand for graph database solutions. As per the regulation, users can now control the usage and visibility of their personal data on any media sites. This has generated complex data lineage problems that is unable to be solved with Relational Database (RDBMS) and require modern graph technology to address them. Thus, graph database is the best solution to address the connected data requirements of GDPR compliance.
Key Players & Competitive Landscape:
Some of the prominent players profiled in the global graph database market report include IBM Corp., Microsoft Corp., Oracle Corp., Amazon Web Services Inc., Neo Technology (Neo4j) Inc., Teradata Corp., Tiger Graph, OrientDB, Ontotext, TIBCO Software Inc., DataStax Inc., MarkLogic Corp., Cray Inc., Stardog, Memgraph, ArangoDB GmbH, and Bitnine Global Inc. among others.
Historical & Forecast Period
This study report represents analysis of each segment from 2022 to 2032 considering 2023 as the base year. Compounded Annual Growth Rate (CAGR) for each of the respective segments estimated for the forecast period of 2024 to 2032.
The current report comprises of quantitative market estimations for each micro market for every geographical region and qualitative market analysis such as micro and macro environment analysis, market trends, competitive intelligence, segment analysis, porters five force model, top winning strategies, top investment markets, emerging trends and technological analysis, case studies, strategic conclusions and recommendations and other key market insights.
Research Methodology
The complete research study was conducted in three phases, namely: secondary research, primary research, and expert panel review. key data point that enables the estimation of Graph Database market are as follows:
Market forecast was performed through proprietary software that analyzes various qualitative and quantitative factors. Growth rate and CAGR were estimated through intensive secondary and primary research. Data triangulation across various data points provides accuracy across various analyzed market segments in the report. Application of both top down and bottom-up approach for validation of market estimation assures logical, methodical and mathematical consistency of the quantitative data.
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Research Period | 2022-2032 |
Base Year | 2023 |
Forecast Period | 2024-2032 |
Historical Year | 2022 |
Unit | USD Million |
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