How Has The Graph Database Market Size Evolved In Recent Years?
The graph database market has seen considerable growth due to a variety of factors.
• The size of the graph database market has seen substantial growth over recent years. The market, which is projected to expand from $3.23 billion in 2024 to $4.03 billion in 2025, will achieve a compound annual growth rate (CAGR) of 24.5%. The historical growth can be linked to the amplified complexity of data relationships, the rise of social media and network analysis, the demand for real-time data processing, developments in data analytics, adoption in the government and intelligence sectors, and the management of data in healthcare.
What Is The Forecast For The Graph Database Market?
The Graph Database market is expected to maintain its strong growth trajectory in upcoming years.
• The size of the graph database market is anticipated to undergo massive expansion in the coming years. The projection is that it will surge to $9.59 billion by 2029, featuring a compound annual growth rate (CAGR) of 24.2%.
Several factors contribute to this expected growth, including digital transformation initiatives, enhancement of supply chain and logistics, the emergence of graph-based search engines, heightened awareness of data privacy and compliance, and the growing applicability in the automotive industry. During the forecast period, market trends will likely be shaped by developments in graph query languages, incorporation of machine learning and AI, application in fraud detection and cybersecurity, the provision of cloud-based graph database services, and the adoption of graph databases in life sciences.
What Are The Essential Drivers Behind The Growth Of The Graph Database Market?
The surge in the uptake of artificial intelligence is predicted to fuel the development of the graph database market in the future. Artificial intelligence (AI) involves duplicating human intelligence in machines, which are designed to perform tasks that typically necessitate cognitive functions such as learning, reasoning, problem-solving, perception, and decision-making. The surge in the use of artificial intelligence is a result of streamlined processes and improved productivity, availability of data, flexibility, integration, and support for innovative business strategies. Graph databases boost artificial intelligence (AI) by effectively handling and examining intricate relationships among data points, facilitating superior pattern detection, recommendations, and decision-making. For instance, data from the International Business Machines Corporation (IBM), a US-based business, indicates that in May 2022, 35% of companies worldwide incorporated artificial intelligence (AI), reflecting a 4% increase from 2021. In addition, the number of organizations embracing artificial intelligence (AI) rose by 13% in 2022 compared to 2021. Consequently, the ongoing surge in the adoption of artificial intelligence propels the graph database market.
How Is The Global Graph Database Market Divided Into Key Segments?
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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What Trends Are Reshaping The Future Of The Graph Database Market?
Leading corporations in the graph database market are concentrating on the creation of fully managed graph databases. These databases simplify deployment, improve scalability, reduce maintenance workload, and integrate effortlessly with cloud-based platforms to boost performance and efficiency. Custom-designed for management of complex relationships found in applications such as social media, fraud detection, and knowledge graphs, these databases employ sophisticated algorithms to scan for and locate potentially harmful domains. This boosts defense against phishing and other forms of cyber attacks. Take for example, United States-based company, Amazon Web Services, Inc. which introduced a graph database called Mithra in August 2024. Mithra supports real-time query capabilities, allowing for quick reactions to emerging threats through instant analysis of relationships and patterns tied to malicious activities. Being part of the AWS ecosystem, it can easily merge with other Amazon services, which increases its useability and enables smooth, continuous data movement across platforms.
Who Are the Key Players In The Graph Database Market?
Major companies operating in the graph database market include:
• 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.
What Are The Regional Insights Into The Graph Database Market?
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.
