Graph Technology Market Size, Share & Trends Analysis Report By Component, By Graph Type, By Database Type, By Analysis Model, By Deployment, By Application, By Industry, By Region, And Segment Forecasts, 2023 - 2030
Graph Technology Market Size, Share & Trends Analysis Report By Component, By Graph Type, By Database Type, By Analysis Model, By Deployment, By Application, By Industry, By Region, And Segment Forecasts, 2023 - 2030
Graph Technology Market Growth & Trends
The global graph technology market size is anticipated to reach USD 15.80 billion by 2030, growing at a CAGR of 22.0% from 2023 to 2030, according to a new report by Grand View Research, Inc. The maturity of the graph technology ecosystem plays a pivotal role in its growth. The development of robust query languages, visualization tools, and integration capabilities has made it easier for businesses to leverage graph databases effectively.
As more organizations recognize the advantages of graph technology in addressing complex data challenges, the market is expected to continue its robust growth trajectory. Furthermore, as the scope of applications for graph technology expands beyond traditional domains into fields like artificial intelligence, machine learning, and cybersecurity, its growth potential becomes even more promising. This diversification of use cases and the continuous innovation in graph database technologies are poised to drive the market forward, making graph technology an indispensable asset for organizations navigating the complexities of modern data management and analysis.
In April 2021, MANTA, the data lineage platform, unveiled a fresh collaboration with Neo4j, a prominent figure in the graph technology realm. This partnership entails the integration of Neo4j's graph database technology directly into the MANTA platform, bolstering its capabilities for pipeline analysis. This strategic move empowers customers to manage ever-expanding data volumes efficiently, a crucial requirement in today's continuous digital transformation landscape.
The pandemic underscored the importance of optimizing supply chain networks, with graph databases aiding in identifying vulnerabilities and enhancing resilience. Graph technology also played a critical role in vaccine distribution, drug discovery, and cybersecurity, demonstrating its adaptability in rapidly changing and critical scenarios. In addition, the need for secure and controlled data collaboration during the pandemic highlighted graph databases' ability to facilitate data sharing while maintaining privacy and security. As a result, the pandemic has accelerated the adoption of graph technology, emphasizing its effectiveness in managing complex data challenges and fostering resilience in the face of crises, with its positive impact expected to persist as organizations continue to recognize its versatility and reliability.
Graph Technology Market Report Highlights
Based on component, the software segment dominated the market in 2022with a revenue share of more than 69.0%. Software-based graph databases can be easily integrated into existing tech stacks and applications, allowing businesses to leverage the power of graphs without the need for a complete system overhaul
In terms of database type, the relational (SQL) segment dominated the market in 2022 with a revenue share of more than 78.0%. The market has emerged as a specialized solution tailored for cases where relationships are at the core of data management and analysis. This emergence has led to an inertia where organizations often default to SQL databases for various data needs
The property graph segment dominated the market in 2022with the largest revenue share of over 41.0%. Property graph databases are well-supported by a growing ecosystem of tools, libraries, and community contributions, which enhances their appeal
The path analysis segment dominated the market in 2022with a revenue share of over 31.0%. Path analysis allows organizations to uncover hidden connections, identify patterns, and extract actionable intelligence from their data
The on-premise segment dominated the market in 2022with the largest revenue share over 58.0%. On-premise deployments have often been favored by organizations with stringent compliance requirements, as they can maintain strict data governance and control within their physical infrastructure
The data management & analysis segment dominated the market in 2022 with a revenue share of over 25.0%. As data continues to grow in volume and complexity, the need for advanced analytics and real-time processing has surged, further underscoring the relevance of graph technology
The IT & telecom segment dominated the market in 2022 with a global revenue share of over 19.0%. The IT & telecom industry has been at the forefront of adopting innovative technologies, making it an early adopter of graph databases to stay competitive and meet the increasing demands for real-time data processing and analytics
The North America dominated the market in 2022with a revenue share of more than 28.0%. The region has a robust investment landscape, with venture capital firms actively supporting graph technology startups. Moreover, the presence of major graph technology vendors and a large pool of skilled professionals has created a conducive environment for growth
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Chapter 1. Methodology and Scope
1.1. Market Segmentation & Scope
1.2. Market Definitions
1.3. Information Procurement
1.4. Information Analysis
1.4.1. Market Formulation & Data Visualization
1.4.2. Data Validation & Publishing
1.5. Research Scope and Assumptions
1.6. List of Data Sources
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segmental Outlook
2.3. Competitive Landscape Snapshot
Chapter 3. Market Variables, Trends, and Scope
3.1. Market Lineage Outlook
3.2. Industry Value Chain Analysis
3.3. Market Dynamics
3.3.1. Market Driver Impact Analysis
3.3.1.1. The increasing complexity of data
3.3.1.2. The explosive growth of IoT
3.3.2. Market Challenge Impact Analysis
3.3.2.1. The relatively steep learning curve associated with graph databases and their query languages
3.3.3. Market Opportunity Impact Analysis
3.3.3.1. The potential to transform industries beyond the tech sector by enabling data-driven decision-making and process optimization