Market size in 2024 | US$ 1.67 billion |
Forecast Market size by 2030 | US$ 4.56 billion |
---|---|---|---|
Growth Rate | CAGR of 18.2% | Number of Pages | 110 Pages |
The global Graph Databases Software market size was valued at US$ 1.67 billion in 2024 and is projected to reach US$ 4.56 billion by 2030, at a CAGR of 18.2% during the forecast period 2024-2030.
The United States Graph Databases Software market size was valued at US$ 567.8 million in 2024 and is projected to reach US$ 1.45 billion by 2030, at a CAGR of 16.9% during the forecast period 2024-2030.
Database management systems optimized for storing and querying graph-structured data.
The global market is growing rapidly, driven by complex data relationship needs. In 2023, total implementations reached 45,000, with technology companies accounting for 45% of demand. The financial services segment is growing at 19.5% annually. The market saw a 40% increase in demand for real-time analytics in 2023. Open-source solutions dominate with a 55% market share, while enterprise platforms are growing at 21% annually. North America leads with a 45% market share, while Europe is the fastest-growing region at 19.2% CAGR. The industry is focusing on developing AI integration capabilities, with a 50% growth in R&D investments.
Report Overview
Graph databases use topographical data models to store data. These databases connect specific data points (nodes) and create relationships (edges) in the form of graphs that can then be pulled by the user with queries.
This report provides a deep insight into the global Graph Databases Software market covering all its essential aspects. This ranges from a macro overview of the market to micro details of the market size, competitive landscape, development trend, niche market, key market drivers and challenges, SWOT analysis, value chain analysis, etc.
The analysis helps the reader to shape the competition within the industries and strategies for the competitive environment to enhance the potential profit. Furthermore, it provides a simple framework for evaluating and accessing the position of the business organization. The report structure also focuses on the competitive landscape of the Global Graph Databases Software Market, this report introduces in detail the market share, market performance, product situation, operation situation, etc. of the main players, which helps the readers in the industry to identify the main competitors and deeply understand the competition pattern of the market.
In a word, this report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the Graph Databases Software market in any manner.
Global Graph Databases Software Market: Market Segmentation Analysis
The research report includes specific segments by region (country), manufacturers, Type, and Application. Market segmentation creates subsets of a market based on product type, end-user or application, Geographic, and other factors. By understanding the market segments, the decision-maker can leverage this targeting in the product, sales, and marketing strategies. Market segments can power your product development cycles by informing how you create product offerings for different segments.
Key Company
Neo4j
ArangoDB
SAP
The Apache Software Foundation
Cayley
DataStax
IBM
Microsoft
The Apache Software Foundation
HyperGraphDB
Oracle
Teradata
Market Segmentation (by Type)
Cloud Based
Web Based
Market Segmentation (by Application)
Large Enterprises
SMEs
Geographic Segmentation
Report Attributes | Report Details |
---|---|
Report Title | Graph Databases Software Market, Global Outlook and Forecast 2024-2030 |
Market size in 2024 | US$ 1.67 billion |
Forecast Market size by 2030 | US$ 4.56 billion |
Growth Rate | CAGR of 18.2% |
Historical Year | 2018 to 2022 (Data from 2010 can be provided as per availability) |
Base Year | 2023 |
Forecast Year | 2031 |
Number of Pages | 110 Pages |
Customization Available | Yes, the report can be customized as per your need. |
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