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The global graph database market was valued at USD 1.93 billion in 2021 and is expected to grow at a CAGR of 23.1% during the forecast period.
As of 2020, the overall size of the knowledge graph market in China reached roughly 35 billion yuan and was projected to grow at an average compound annual rate of 20 percent over the observed period, amounting to over 130 billion yuan in 2026. In the AI segment knowledge graphs describe a machine learning technique.
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The global graph database market growth will be propelled through 2034 at a massive CAGR of 19.4%. With the growing data usage and the rising data storage requirements, the global graph database market size will likely inflate from US$ 3.17 billion to US$ 18.68 billion in the next decade. Technological advancements also fuel the growth prospects of the industry.
Attributes | Key Insights |
---|---|
Estimated Industry Size in 2024 | US$ 3.17 billion |
Projected Industry Value in 2034 | US$ 18.68 billion |
Value-based CAGR from 2024 to 2034 | 19.4% |
Growing Technology to Enlarge the Global Graph Database Market Size
Attributes | Values |
---|---|
Historical CAGR | 16.5% |
Valuation in 2019 | US$ 1.46 billion |
Valuation in 2023 | US$ 2.69 billion |
Country-wise Analysis
Countries | Forecasted CAGR |
---|---|
Germany | 8.9% |
Japan | 9.2% |
The United States of America | 13.5% |
China | 19.9% |
Australia | 22.9% |
Category-wise Insights
Category | Solution- Graph Database Platform |
---|---|
Industry Share in 2024 | 63.3% |
Segment Drivers |
|
Category | Application- Fraud & Risk Analytics |
---|---|
Industry Share in 2024 | 24.3% |
Segment Drivers |
|
Graph Database Market Size 2024-2028
The graph database market size is forecast to increase by USD 11.81 billion at a CAGR of 24.4% between 2023 and 2028.
The graph database market is experiencing rapid growth, fueled by the increasing importance of understanding complex data relationships. Drivers include the rise of open knowledge networks, enabling sophisticated data analytics and the growing demand for real-time insights through low-latency query processing. Businesses across diverse sectors are leveraging graph databases to enhance customer relationship management, detect fraud, personalize recommendations, and gain competitive advantage. However, the lack of industry standards and the need for specialized expertise present challenges to broader adoption. Despite these hurdles, the market's future remains bright. As organizations increasingly rely on data-driven decision-making and seek to unlock the potential hidden within interconnected data, the graph database market is poised for continued expansion. This report explores key trends, challenges, and opportunities within this dynamic landscape.
What will be the Size of the Graph Database Market During the Forecast Period?
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The market has experienced significant growth in recent years, driven by the increasing demand for advanced data management solutions in various industries. Graph databases, which utilize the property graph model to represent data as interconnected entities or vertices and relationships or edges, offer unique advantages for handling complex, interconnected data. This model is particularly well-suited for applications in social networks, recommendation engines, and business processes that require real-time analytics and visualization. Despite their benefits, graph databases face challenges such as a lack of standardization and the need for specialized skills for programming and managing these databases. However, their ease of use and ability to handle long tasks, stored procedures, and indexes make them an attractive option for industries such as finance, logistics, medical information, and disease surveillance.
Graph databases are deployed in both on-premises data centers and cloud regions, providing flexibility for businesses with varying IT infrastructures. Applications of graph databases include route optimization, warehouse management, and logistics management, making them essential tools for logistics professionals.
How is this Graph Database Industry segmented and which is the largest segment?
The graph database industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.
End-user
Large enterprises
SMEs
Type
RDF
LPG
Solution
Graph Extension
Graph Processing Engines
Native Graph Database
Knowledge Graph Engines
Geography
North America
US
Europe
Germany
UK
France
APAC
China
South America
Middle East and Africa
By End-user Insights
The large enterprises segment is estimated to witness significant growth during the forecast period.
Graph databases have gained significant traction among large enterprises due to their ability to effectively model and analyze complex, interconnected data. Unlike traditional relational databases, graph databases naturally represent relationships between data entities, facilitating more efficient querying and analysis. This is particularly beneficial for businesses seeking real-time insights, such as customer behavior analysis, personalized marketing, and fraud detection. Graph databases enable fast data processing and offer advanced analytics tools, making them an ideal choice for industries like finance, logistics, and healthcare.
However, the lack of standardization and technical expertise required for graph database implementation can pose challenges. Popular graph database technologies include Cypher and Gremlin, based on the Property Graph model, which utilizes vertices, edges, labels, and indexes for data representation. Integration with recommendation engines, social networks, and data management solutions is essential for maximizing the value of graph databases. Cloud deployments in various data centers and regions provide flexibility and scalability. Despite these advantages, data silos and hoarding remain prevalent issues, necessitating data integration solutions for enterprise data unification.
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The Large enterprises segment was valued at USD 2.2 billion in 2018 and showed a gradual increase during the forecast period.
Regional Analysis
North America is estimated to contribute 34% to the growth of the global mar
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Graph Database Market Report is Segmented by Component (Solutions, Services [Managed, Professional]), Deployment (Cloud On Premises), Size (SMES, Large Enterprises), End User (BFSI, Healthcare, Retail & E-Commerce, IT and Telecom, Media and Entertainment, Other End Users), Geography (North America, Europe, Asia-Pacific, Rest of the World). The Report Offers Market Forecasts and Size in Value (USD) for all the Above Segments.
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United States graph database market size reached USD 537.9 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 2,754.7 Million by 2033, exhibiting a growth rate (CAGR) of 19.7% during 2025-2033​. The widespread adoption of this innovative approach, as it offers numerous advantages over traditional database solutions in terms of computing power, storage, indexing, querying, etc., is primarily driving the market growth across the country.
Report Attribute
|
Key Statistics
|
---|---|
Base Year
| 2024 |
Forecast Years
|
2025-2033
|
Historical Years
| 2019-2024 |
​Market Size in 2024 | USD 537.9 Million |
​Market Forecast in 2033 | USD 2,754.7 Million |
Market Growth Rate (2025-233) | 19.7% |
IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for ​2025-2033​. Our report has categorized the market based on component, type of database, analysis type, deployment model, application, and industry vertical.
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[198+ Pages Report] Global graph database market size & share estimated to be worth USD 5.2 Billion in the year 2026, growing at a CAGR value of 21.7% during the forecast period of 2021-2026.
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Access the summary of the Graph Database market report, featuring key insights, executive summary, market size, CAGR, growth rate, and future outlook.
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The global graph database market was valued at USD 1.93 billion in 2021 and is expected to grow at a CAGR of 23.1% during the forecast period.