The Business Research Company’s report on the Graph Database Market provides insights into the global market size, growth rate, regional distribution, competitive landscape, key segments, emerging trends, and strategic opportunities.
What are the primary drivers fueling the growth of the graph database market in recent years?
The rising adoption of artificial intelligence is expected to propel the growth of the graph database market going forward. Artificial intelligence (AI) is the replication of human intelligence in machines that are programmed to think and carry out tasks that normally require cognitive abilities like learning, reasoning, problem-solving, perception, and decision-making. The rising adoption of artificial intelligence is due to streamlining processes and enhanced productivity, data availability, Flexibility and Integration, and support for innovative business practices. Graph databases enhance artificial intelligence (AI) by efficiently managing and analyzing complex relationships between data points, enabling better pattern recognition, recommendations, and decision-making. For instance, in May 2022, according to the International Business Machines Corporation (IBM), a US-based company, in 2022, 35% of businesses globally utilized artificial intelligence (AI), which is an increase of 4% from 2021. Furthermore, the number of organizations adopting artificial intelligence (AI) increased by 13% in 2022 compared to 2021. Therefore, the rising adoption of artificial intelligence drives the graph database market.
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What is the projected market size of the graph database industry, and how is it expected to grow?
The graph database market size has grown exponentially in recent years. It will grow from $3.23 billion in 2024 to $4.03 billion in 2025 at a compound annual growth rate (CAGR) of 24.5%. The growth in the historic period can be attributed to increased complexity of data relationships, social media and network analysis, need for real-time data processing, advancements in data analytics, government and intelligence sector adoption, healthcare data management.
The graph database market size is expected to see exponential growth in the next few years. It will grow to $9.59 billion in 2029 at a compound annual growth rate (CAGR) of 24.2%. The growth in the forecast period can be attributed to digital transformation initiatives, supply chain and logistics optimization, graph-based search engines, data privacy and compliance, increasing automotive industry applications. Major trends in the forecast period include advancements in graph query languages, integration with machine learning and ai, use cases in fraud detection and cybersecurity, cloud-based graph database services, graph database adoption in life sciences.
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Who are the key players driving competition in the graph database market?
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.
What key trends are expected to drive the glycomics or glycobiology market during the forecast period?
Major companies operating in the graph database market are focused on developing fully managed graph databases to simplify deployment, enhance scalability, reduce maintenance efforts, and offer seamless integration with cloud platforms for improved performance and efficiency. A fully managed graph database specifically designed to handle the intricate relationships found in applications such as social networking, fraud detection, and knowledge graphs. utilizes advanced algorithms to analyze and identify potentially harmful domains, helping to protect users from phishing and other cyber threats. For instance, in August 2024, Amazon Web Services, Inc. a US-based company, launched Mithra, a graph database. Mithra supports real-time querying capabilities, enabling rapid response to emerging threats by allowing security teams to quickly analyze relationships and patterns associated with malicious activities. As part of the AWS ecosystem, Mithra can be easily integrated with other Amazon services, enhancing its functionality and allowing for seamless data flow across platforms.
Which key geographies are driving the growth of 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.
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What are the key segments driving growth in the graph database market?
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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How is the graph database market defined?
A graph database is a customized platform for building and managing graphs. These database systems connect specific data points (nodes) and generate relationships (edges) in the form of graphs, which can then be queried by the user. It is used to give an understanding of the facts that are more realistic.
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