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Top Trends Transforming the Graph Database Market Landscape in 2025: AWS Launches Mithra For Enhanced Security And Seamless Cloud Integration

06-27-2025 01:03 PM CET | IT, New Media & Software

Press release from: The Business Research Company

Graph Database

Graph Database

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What Will the Graph Database Industry Market Size Be by 2025?
In recent years, the graph database market has seen significant expansion. It's predicted to rise from $3.23 billion in 2024 to $4.03 billion in 2025, with a compound annual growth rate (CAGR) of 24.5%. The historic growth can be tied to a variety of factors, including the increasingly complex data relationships, the analysis of social media and networks, the necessity for instant data processing, advancements in the field of data analytics, adoption by government and intelligence sectors, as well as management of healthcare data.

What's the Long-Term Growth Forecast for the Graph Database Market Size Through 2029?
The size of the graph database market is projected to experience rapid expansion in the upcoming years, surging to $9.59 billion by 2029, with a compound annual growth rate (CAGR) of 24.2%. Factors contributing to this growth during the predicted period encompass digital transformation endeavors, optimization in supply chain and logistics, the advent of graph-based search engines, increasing commitment to data privacy and compliance, and the escalating application in the automotive industry. Significant trends to watch for during this period are advancements in graph query languages, the intersection of machine learning and artificial intelligence, the emergence of fraud detection and cybersecurity use cases, the offering of cloud-based graph database services, and the integration of graph databases in the life sciences sector.

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What Are the Key Growth Drivers Fueling the Graph Database Market Expansion?
The growth of the graph database market is set to be fueled by the escalating use of artificial intelligence. Artificial intelligence emulates human intelligence in machines, which are then programmed to execute tasks that usually necessitate cognitive abilities such as learning, reasoning, problem-solving, perception, and decision-making. The increased use of artificial intelligence can be attributed to factors such as streamlined processes, increased productivity, data availability, flexibility, integration, and the promotion of innovative business practices. Graph databases enhance artificial intelligence by effectively managing and analyzing intricate relationships between data points, which leads to improved pattern recognition, recommendations, and decision-making. As an example, statistics from the International Business Machines Corporation (IBM), a US-based company, stated that in May 2022, 35% of global businesses employed artificial intelligence, showing a 4% increase from 2021. Moreover, a growth of 13% was noted in the number of organizations implementing artificial intelligence in 2022 compared to 2021. Consequently, this rise in the use of artificial intelligence is driving the graph database market forward.

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What Are the Key Trends Driving Graph Database Market Growth?
Top-notch companies in the graph database market are channeling their efforts towards crafting fully managed graph databases. The goal is to make deployment much simpler, intensify scalability, decrease maintenance exertion, and integrate smoothly with cloud platforms for better performance and efficiency. These databases are explicitly designed to sort out complex connections seen in applications like social networking, fraud detection, and knowledge graphs. These databases make use of sophisticated algorithms to analyze and pinpoint dangerous domains to ensure user protection from phishing and other cyber threats. Taking the example of August 2024, Amazon Web Services, Inc., a company based in the US, rolled out Mithra, a graph database. This database is equipped with real-time querying capabilities giving a quick response mechanism to budding threats. It allows security teams to swiftly analyze relations and configurations linked with malicious activities. Mithra, being a part of the AWS ecosystem, can be smoothly integrated with other services of Amazon, thereby amplifying its utility and enabling a continuous data flow within platforms.

How Is the Graph Database Market Segmented?
The graph database market covered in this report is segmented -

1) By Type: RDF, Labeled Property Graph
2) By Component: Software, Services
3) By Deployment Mode: Cloud, On-Premises
4) By Application Type: Consumer Analytics, Deep Learning, Regulatory Compliance, Recommendation Engines, Identity And Access Management, Fraud Detection, Supply Chain Management, Other Applications
5) By End-Use: BFSI, Retail And E-Commerce, IT And Telecommunication, Transportation And Logistics, Other End-Users

Subsegments:
1) By RDF(Resource Description Framework): Triple Stores, Semantic Graph Databases
2) By Labeled Property Graph: Native Graph Databases, Multi-Model Graph Databases

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Which Companies Are Leading the Charge in Graph Database Market Innovation?
Major companies operating in the graph database market are Oracle Corporation, International Business Machines Corporation (IBM), Amazon Web Services Inc., DataStax Inc., Stardog Union Inc., Microsoft Corporation, SAP SE, Teradata Corporation, MarkLogic Corporation, Neo4j Inc., TigerGraph Inc., Objectivity Inc., Franz Inc., ArangoDB GmbH, Cambridge Semantics Inc., OrientDB Ltd., MongoDB Inc., Bitnine Co. Ltd., Ontotext AD, Grakn Labs Pte Ltd, Dgraph Labs Inc., JanusGraph, Expero Inc.,mRedis Labs Ltd.

Which Regions Are Leading the Global Graph Database Market in Revenue?
North America was the largest region in the graph database market in 2024. The regions covered in the graph database market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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