According to a new report, published by KBV research, The Global Graph Technology Market size is expected to reach $15.0 billion by 2030, rising at a market growth of 22.0% CAGR during the forecast period.
The Services segment is experiencing a CAGR of 23.7% during (2023 - 2030). Implementing graph technology can be complex, particularly for organizations that are new to the technology. Service providers offer consulting and implementation services to guide businesses through the process, ensuring they effectively leverage graph databases and analytics. The complexity of graph data modeling and query optimization often necessitates expert assistance.
The Relational (SQL) segment is generating the highest revenue in the Global Market by Database Type in 2022; thereby, achieving a market value of $11.0 billion by 2030. Relational SQL databases are known for their flexibility in accommodating different data models, including tabular, hierarchical, and graph data. Organizations with existing SQL databases may prefer leveraging their infrastructure and data models rather than implementing a separate graph database. This flexibility allows them to incorporate graph-like structures within their existing systems gradually.
The Cloud segment is exhibiting a CAGR of 23.3% during (2023 - 2030). One of the primary drivers of growth in the cloud segment is the widespread adoption of cloud-based technologies across diverse industries. Organizations are increasingly migrating their data, applications, and infrastructure to the cloud to leverage the benefits of flexibility, reduced infrastructure costs, and ease of management. The market is no exception, as businesses seek to harness the power of graph databases and analytics in a cloud environment.
The Property Graph segment is registering maximum revenue in the Global Graph Technology Market by Graph Type in 2022; thereby, achieving a market value of $6.7 billion by 2030. Attaching properties to nodes and edges allows for nuanced and detailed data representation. This versatility makes property graphs suitable for a wide range of applications. Organizations often deal with complex data models that involve attributes, characteristics, and metadata. Property graphs are well-suited for modeling such data, providing a comprehensive, structured view of interconnected information.
The Community & Centrality Analysis segment would experience a CAGR of 22.4% during (2023 - 2030). The demand for community analysis has increased owing to the proliferation of social media sites and online communities. Organizations, marketing professionals, and researchers leverage community analysis to understand user behavior, detect influential groups, and tailor content or advertising campaigns to specific communities. Community analysis plays a pivotal role in recommendation systems. Platforms like Netflix and Amazon utilize community analysis to identify clusters of users with similar preferences, making accurate content recommendations. As these systems become more sophisticated, the demand in the segment will continue to grow.
The IT & Telecom segment is capturing maximum revenue in the Market by Industry in 2022; thereby, achieving a market value of $3.4 billion by 2030. Efficient network optimization is a top priority in the IT and telecom sectors. Graph technology enables the modeling and analysis of network structures, helping organizations optimize data traffic, reduce latency, and enhance the overall network performance. As networks become more complex, the ability to visualize and analyze network relationships becomes increasingly vital. Thus, the segment will expand rapidly in the future.
The Customer Analysis segment would exhibit a CAGR of 23% during (2023 - 2030). Businesses are increasingly focused on personalization and providing tailored experiences to their customers. Graph technology enables the creation of customer profiles that capture not only demographic information but also behavioral patterns and social connections, facilitating personalized recommendations and engagement strategies. The demand for a comprehensive and unified view of customers drives graph technology adoption. To provide a comprehensive 360-degree view of their consumers that encompasses their interactions, preferences, purchase history, and social network connections, businesses aim to eliminate data silos. These factors will help in the growth of the segment.
The North America region dominated the Global Market by Region in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $5.1 billion by 2030. The Europe market is anticipated to grow a CAGR of 21.6% during (2023 - 2030). Additionally, The Asia Pacific market would witness a CAGR of 22.9% during (2023 - 2030).
Full Report: https://www.kbvresearch.com/graph-technology-market/
The market research report has exhaustive quantitative insights providing a clear picture of the market potential in various segments across the globe with country-wise analysis in each discussed region. The key impacting factors of the market have been discussed in the report with the elaborated company profiles of Oracle Corporation, IBM Corporation, Neo4j, Inc., Stardog Union, Amazon Web Services, Inc. (Amazon.com, Inc.), Microsoft Corporation, ArangoDB Inc., TigerGraph, Inc., Progress Software Corporation and DataStax, Inc.
By Component
By Database Type
By Deployment
By Graph Type
By Analysis Model
By Industry
By Application
By Geography
Companies Profiled
Unique Offerings 
