Graph Database Market Size
| Study Period | 2019 - 2029 |
| Market Size (2024) | USD 3.45 Billion |
| Market Size (2029) | USD 7.84 Billion |
| CAGR (2024 - 2029) | 0.00 % |
| Fastest Growing Market | North America |
| Largest Market | North America |
| Market Concentration | Low |
Major Players
*Disclaimer: Major Players sorted in no particular order |
Graph Database Market Analysis
The Graph Database Market size is estimated at USD 3.45 billion in 2024, and is expected to reach USD 7.84 billion by 2029, at a CAGR of 0% during the forecast period (2024-2029).
Graph database is a can be defined as database which majorly uses graph structures for semantic queries with edges, nodes along with properties to represent and store data. The graph relates the data items acorss the store to a collection of edges and nodes while the edges represents the relationships between the nodes.
- The graph DB market is propelled by a surgring in demand for solutions adept at handling complex relationships in data, with applications spanning social networks, fraud detection, and recommendation systems. As businesses start to realize the constraints of traditional relational databases in handling complex relationships, the growth of big data and the demand for real-time analytics are driving the increased use of graph databases.
- Graph databases are being adopted across various end user industries, including healthcare, BFSI, retail, and manufacturing, to address specific use cases along with business challenges. For instance, in In January 2024, Servier's global pharmaceutical company's research and development department began using graph technologies to reduce drug research time and enhance the success rate of drug candidates during the clinical phase. The company is utilizing Neo4j's Pegasus graph to effectively organize and explore third-party and proprietary data.
- Moreover, Adoption of AI based Graph Database Tools, has been increased as in AI graph database, data is organized in nodes and edges, creating a visual representation of different entities are connected. This unique structure allows organizations to get a more efficient and natural representation of intricate relationships. This makes it the ideal data structure for situations in which understanding connections is paramount.
- Graph databases don’t have a standardized structure for queries and languages, this results in increased complexity and issues of compatibility between multiple systems and solutions. The lack of standardization can complicate database migration and integration, making it difficult for organizations to switch providers and thereby slow down graph database market outlook as well.
Graph Database Market Trends
BFSI Holds Major Share
- In bank and finance sector, the ability to detect fraud, understand customer behavior, and assess risk is paramount. Graph databases can provide a significant edge.
- Graph databases excel in identifying suspicious transaction patterns. They allows to map out complex relationships between entities such as transactions, accounts and individuals. By visualizing these connections, and can identify spot anomalies that indicate fraudulent activities.
- Acorss the commercial banks assessing credit risk and loan eligibility becomes more accurate with graph databases, Databases enable users to analyze complex relationships between borrowers, lenders, and financial transactions. By evaluating these connections, and can better understand a borrower’s creditworthiness and potential risks. According to St. Louis Fed, In 2023, the value of commercial and industrial loans acorssUnited States at commercial banks has reached nearly 2.8 trillion USD.
- In addition to transaction monitoring, graph databases help in detecting money laundering schemes. They can uncover hidden connections between seemingly unrelated entities. For example, mostly several shell companies are linked through common directors or addresses. This capability enables financial institutions to comply with regulatory requirements along with mitigate risks associated with financial crimes.
- March 25, 2024, Ultipa, Inc., a top creator of graph database technology and the pioneer of Graph XAI, is excited to announce multiple completed commercial real-time graph DBMS agreements with a major central bank and various financial-industry regulators. The agreements involved the provision of Ultipa's instant graph databases
North America is Expected to Witness the Growth
- The regions dominance is attributed to the robust presence of tech-driven industries, a mature ecosystem for data management solutions, and a growing recognition among enterprises of the importance of relationship-centric data modeling in various applications such as healthcare, finance, and logistics. North America's leading position in data management has been accelerated by the proactive inclusion of graph DBs in business operations.
- The area has a robust technology community focused on using data to make decisions, making it an ideal market for adopting graph databases. In North America, key industries such as healthcare, finance, and e-commerce mostly depend on graph databases for detecting fraud, creating recommendation systems, and analyzing customer data. Moreover, the rising need for cloud-oriented products and the existence of significant graph database providers in the area.
- For instance, In September 2024, Neo4j, a leading name in the global graph database business unveiled its new cloud-based graph database called Neo4j AuraDB. The new offering features a Gen AI console and an interactive dashboard builder to improve its real-time read capabilities.
- Different graph database solutions are being introduced by a range of important individuals to meet diverse needs and demands. In December 2023, Amazon Web Services (AWS) released a new analytics database engine that merges vector search and graph data capabilities. The public release of Amazon Neptune Analytics was announced at the re-invest conference in Las Vegas. The new service can be used on a pay-as-you-go basis, without any initial setup costs or monthly fees.
Graph Database Industry Overview
The Graph Database market comprises major global players such as Amazon Web Services Inc.Datastax Inc.,Oracle Corporation, International Business Machines Corporation, Marklogic Corporation holding a significant market share. The market poses moderately high barriers to entry for the new players.
The intensity of competitive rivalry is high as the significant growth in strategic collaborations. The demand from the buyers has actively led the incumbents to invest in solutions and keep the contracts intact. The need to constantly develop and adapt to newer technologies is observed with growing affordability from peers. Overall, the intensity of competitive rivalry acorss market studied is high and expected to remain the same throughout the forecast period.
Constantly evolving technological advancements and long-term contracts with buyers, there is a control on the distribution channels. However, new entrants could leverage economies of scale with proper funding by innovating new solutions.
Graph Database Market Leaders
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Amazon Web Services Inc.
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Datastax Inc.
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International Business Machines Corporation
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Marklogic Corporation
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Oracle Corporation
*Disclaimer: Major Players sorted in no particular order
Graph Database Market News
- August 2024: Google Cloud announced launch of a new graph database called Spanner Graph. The new database will allow users to scale their operations across multiple edge environments with graph, relational, search, and AI integration capabilities.
- October 2023: Graph database vendor Neo4j unveiled a set of new capabilities designed to help customers query and analyze data more efficiently to fuel real-time decisions. Included is faster query performance with the ability to simultaneously run both transactional and analytical processing in the same database and change data capture capabilities that enable automatic tracking of data changes as they occur.
Graph Database Market Report - Table of Contents
1. INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the Study
2. RESEARCH METHODOLOGY
3. EXECUTIVE SUMMARY
4. MARKET INSIGHTS
4.1 Market Overview
4.2 Value Chain Analysis
4.3 Industry Attractiveness - Porter's Five Force Analysis
4.3.1 Bargaining Power of Suppliers
4.3.2 Bargaining Power of Buyers
4.3.3 Threat of New Entrants
4.3.4 Threat of Substitutes
4.3.5 Intensity of Competitive Rivalry
4.4 Assessment of Macroeconomic Factors on the Market
5. MARKET DYNAMICS
5.1 Market Drivers
5.1.1 Growing Product Application across Various End user Industries
5.1.2 Adoption of AI based Graph Database Tools
5.2 Market Restraints
5.2.1 Lack of Standardization
6. MARKET SEGMENTATION
6.1 By Component
6.1.1 Solutions
6.1.2 Services
6.1.2.1 Managed
6.1.2.2 Professional
6.2 By Deployment
6.2.1 Cloud
6.2.2 On Premises
6.3 By Size
6.3.1 SMES
6.3.2 Large Enterprises
6.4 By End-User
6.4.1 BFSI
6.4.2 Healthcare
6.4.3 Retail & e-commerce
6.4.4 IT and Telecom
6.4.5 Media and Entertainment
6.4.6 Other End Users
6.5 By Geography***
6.5.1 North America
6.5.2 Europe
6.5.3 Asia
6.5.4 Australia and New Zealand
6.5.5 Latin America
6.5.6 Middle East and Africa
7. COMPETITIVE LANDSCAPE
7.1 Company Profiles
7.1.1 Amazon Web Services Inc.
7.1.2 Datastax Inc.
7.1.3 Oracle Corporation
7.1.4 International Business Machines Corporation
7.1.5 Marklogic Corporation
7.1.6 Microsoft Corporation
7.1.7 Neo4j Inc.
7.1.8 Objectivity Inc.
7.1.9 Franz Inc.
7.1.10 Stardog Union
7.1.11 Tibco Software Inc.
7.1.12 Tigergraph Inc.
- *List Not Exhaustive
8. INVESTMENT ANAYSIS
9. FURTURE OF THE MARKET
Graph Database Industry Segmentation
A graph database is defined as single-purpose platform for creating and manipulating graphs. Graphs contains edges,nodes, along with properties, all of which represents and stores data in a way that relational databases are not equipped to do.
The graph database market 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.
| By Component | ||||
| Solutions | ||||
|
| By Deployment | |
| Cloud | |
| On Premises |
| By Size | |
| SMES | |
| Large Enterprises |
| By End-User | |
| BFSI | |
| Healthcare | |
| Retail & e-commerce | |
| IT and Telecom | |
| Media and Entertainment | |
| Other End Users |
| By Geography*** | |
| North America | |
| Europe | |
| Asia | |
| Australia and New Zealand | |
| Latin America | |
| Middle East and Africa |
Graph Database Market Research FAQs
How big is the Graph Database Market?
The Graph Database Market size is expected to reach USD 3.45 billion in 2024 and grow at a CAGR of 0% to reach USD 7.84 billion by 2029.
What is the current Graph Database Market size?
In 2024, the Graph Database Market size is expected to reach USD 3.45 billion.
Who are the key players in Graph Database Market?
Amazon Web Services Inc., Datastax Inc., International Business Machines Corporation, Marklogic Corporation and Oracle Corporation are the major companies operating in the Graph Database Market.
Which is the fastest growing region in Graph Database Market?
North America is estimated to grow at the highest CAGR over the forecast period (2024-2029).
Which region has the biggest share in Graph Database Market?
In 2024, the North America accounts for the largest market share in Graph Database Market.
What years does this Graph Database Market cover, and what was the market size in 2023?
In 2023, the Graph Database Market size was estimated at USD 3.45 billion. The report covers the Graph Database Market historical market size for years: 2019, 2020, 2021, 2022 and 2023. The report also forecasts the Graph Database Market size for years: 2024, 2025, 2026, 2027, 2028 and 2029.
Graph Database Industry Report
Statistics for the 2024 Graph Database market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. Graph Database analysis includes a market forecast outlook for 2024 to 2029 and historical overview. Get a sample of this industry analysis as a free report PDF download.
