How Big is the Graph Analytics Market | Size, Drivers and Trends 2025

Q: How big is the graph analytics market?

The graph analytics market was estimated at USD 2.4 billion in 2024 and is expected to reach USD 8 billion by 2031.

Q: What is the growth rate of the graph analytics market?

The graph analytics market is expected to grow at a CAGR of 10.90% during 2025–2031.

Q: What challenges affect the growth of the graph analytics market?

Challenges include high implementation costs, limited skilled professionals, and integration complexities.

Q: Who are the top players in the graph analytics market?

Major players of the market include Neo4j, Oracle, TigerGraph, Microsoft, and IBM.

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6W monitors the market across 60+ countries Globally, publishing an annual market outlook report that analyses trends, key drivers, Size, Volume, Revenue, opportunities, and market segments. This report offers comprehensive insights, helping businesses understand market dynamics and make informed decisions.

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Code: MTA7007

Publication Date: Jul 2025

What is the size of Graph Analytics Market?

According to 6Wresearch internal database and industry insights, the Global Graph Analytics Market was estimated at USD 2.4 billion in 2024 and is expected to reach USD 8 billion by 2031, growing at a CAGR of 10.90% during the forecast period 2025â€“2031.

Due to increasing demand for data visualization, fraud detection, and real-time recommendation engines, the graph analytics market is predicted for consistent growth in the forthcoming years.

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Key Growth Drivers of the Graph Analytics Market

Rising adoption of connected data and knowledge graphs across industries
Growing need for advanced fraud detection and cybersecurity analytics
Increasing application in social network and customer behaviour analysis
Adoption of AI and machine learning for complex data relationships
Expansion in financial services, healthcare, and telecom sectors

Graph Analytics Market Trends

Graph analytics market is expanding with notable trends such as increasing integration with AI/ML tools to analyse unstructured data patterns. With the time, enterprises started adopting real-time graph processing engines for dynamic insights. Moreover, knowledge graphs are gaining momentum in search optimization and recommendation systems. Further, the cloud-based graph databases are also driving scalability and operational efficiency.

Emerging Developments in the Graph Analytics Market

Graph analytics market is seeing new developments such as the emergence of open-source frameworks and interoperable platforms for seamless data integration. Companies are enhancing visual query interfaces for non-technical users. In addition, hybrid transactional/analytical processing (HTAP) is being used to support real-time use cases. Graph AI is also being explored for predictive analytics and anomaly detection. Further, SaaS-based deployment models are further enhancing accessibility and enterprise adoption.