Global Graph Technology Market Size, Share & Industry Trends Analysis Report By Component, By Database Type, By Deployment, By Graph Type, By Analysis Model, By Industry, By Application, By Regional Outlook and Forecast, 2023 - 2030

Global Graph Technology Market Size, Share & Industry Trends Analysis Report By Component, By Database Type, By Deployment, By Graph Type, By Analysis Model, By Industry, By Application, By Regional Outlook and Forecast, 2023 - 2030

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.

Graph technology plays a vital role in optimizing transportation and infrastructure planning. It aids in modeling transportation networks, analyzing traffic patterns, and planning public transportation routes. Thus, the government and public sector segment captured $209.0 million revenue in the market in 2022. Government agencies responsible for social services and welfare programs leverage graph technology to manage and analyze beneficiary data. By mapping relationships between individuals, families, and their use of public services, agencies can better allocate resources, identify trends, and reduce fraud and inefficiencies. This contributes to more efficient urban planning and infrastructure development.

The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In April, 2023, Neo4j, Inc. came into partnership with Imperium Solutions. As a result of the partnership, companies within Singapore would be able to deploy meaningful graph solutions that would help them increase their operational productivity. Moreover, In January, 2023, Neo4j, Inc. signed a partnership with Gemini Data, to develop graph data solutions. The customers would benefit from this partnership by getting the tools to gain quick insights into unseen business opportunities.

Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation is the forerunner in the Market. In December, 2022, Microsoft Corporation partnered with the London Stock Exchange Group (LSEG) to jointly develop new data and analytics products and services. The partnership brings together the combined expertise of two industry leaders that would allow customers to generate business insights and automate complex and time-consuming processes. Companies such as Oracle Corporation, IBM Corporation and Amazon Web Services, Inc. are some of the key innovators in the Market.

Market Growth Factors

Exponential growth of data complexity and interconnectedness

Navigating complex and interconnected datasets can be challenging. Graph databases offer efficient and intuitive ways to discover valuable information and patterns within data. This ease of data discovery streamlines operations and enables organizations to uncover insights more quickly, positively impacting their efficiency and productivity. In e-commerce and social networking industries, understanding the relationships and connections between users, products, or content is crucial for delivering a personalized customer experience. It allows businesses to create recommendation systems and user profiling that significantly improve user satisfaction and engagement. Thus, these factors will propel the demand in the market.

Widespread adoption of graph technology across diverse industries

Economies of scale come into play as more industries adopt graph technology. This means that the cost of developing, deploying, and maintaining graph-based solutions decreases as technology becomes more widespread. Lower costs encourage even broader adoption as organizations find it cost-effective to implement these solutions. A diverse set of industries adopting graph technology creates a feedback loop of innovation. The technology providers receive insights and requirements from various sectors, which helps them tailor their solutions to meet the specific needs of each industry. This iterative innovation cycle enhances the overall capabilities and usability of graph technology. These factors will help in the future expansion of the market.

Market Restraining Factors

Complexity associated with implementing graph technology

Graph databases typically use their query languages, such as Cypher for Neo4j. Learning and mastering these query languages can be time-consuming, especially for those familiar with SQL or other query languages. Integrating graph technology into existing data ecosystems can be complex. Ensuring that data flows seamlessly between graph databases and other data stores may require custom development and middleware solutions. These factors can limit the growth of the market.

Component Outlook

Based on component, the market is segmented into software and services. The software segment held the largest revenue share in the market in 2022. The software component segment has seen growth due to specialized use cases. Organizations are turning to graph databases and analytics for applications like recommendation engines, fraud detection, network analysis, and knowledge graph development. Software providers have tailored their offerings to meet these unique needs. This has driven the adoption of software components that support data integration. These factors will help in the growth of the software segment.

Database Type Outlook

On the basis of database type, the market is divided into relational (SQL) and non-relational (No SQL). In 2022, the non-relational (No SQL) segment witnessed a substantial revenue share in the market. One of the primary reasons for the growth of non-relational databases in the market is their flexibility in data modeling. Unlike traditional relational databases that require a predefined schema, non-relational databases can handle unstructured, semi-structured, and structured data without rigid constraints. This flexibility is especially beneficial for applications that deal with highly interconnected and dynamic data, which are common in graph-based scenarios. Owing to this, there will be a rise in demand in the segment.

Deployment Outlook

Based on deployment, the market is segmented into cloud and on-premise. The on-premise segment held the largest revenue share in the market in 2022. Data security and compliance are given top priority by many firms, particularly in fields with strict regulations like healthcare, finance, and government. On-premise solutions provide greater control over data, making it easier to ensure compliance with industry-specific regulations and protect sensitive information. Data processing and storage are subject to stringent laws in particular areas and sectors. These factors will serve as drivers for the segment’s expansion.

Graph Type Outlook

Based on graph type, the market is segmented into property graph, resource description framework (RDF), and hypergraph. In 2022, the hypergraph segment garnered a significant revenue share in the market. Hypergraphs find applications in diverse industries, including social networking, bioinformatics, knowledge graphs, recommendation systems, and supply chain management. Their ability to capture complex relationships, such as multi-modal associations or higher-dimensional data, makes them suitable for various use cases.

Analysis Model Outlook

On the basis of the analysis model, the market is divided into path analysis, connectivity analysis, and community & centrality analysis. The path analysis segment recorded the maximum revenue share in the market in 2022. Path analysis is integral to recommendation systems. Platforms in e-commerce, content streaming, and online marketplaces leverage path analysis to understand user journeys, identify sequences of actions, and make personalized recommendations. Path analysis remains a critical component as recommendation systems evolve and demand increases.

Industry Outlook

Based on industry, the market is segmented into BFSI, retail & e-commerce, IT & telecom, healthcare & life science, government & public sector, supply chain & logistics, and others. The healthcare and life sciences segment recorded a substantial revenue share in the market in 2022. Graph technology plays a pivotal role in advancing patient-centric care. It allows healthcare providers to create comprehensive patient records encompassing medical history, treatment plans, medication regimens, and social determinants of health. By connecting and analyzing these data points, healthcare professionals can offer more personalized and effective care, leading to better patient outcomes.

Application Outlook

On the basis of application, the market is divided into fraud detection, data management & analysis, customer analysis, identity & access management, compliance & risk, and others. The data management and analysis segment recorded the maximum revenue share in the market in 2022. One of the primary drivers of growth in the data management and analysis segment is the exponential growth of data. Graph technology excels at managing and analyzing these data types, making it a compelling choice for businesses seeking insights from their ever-expanding data reservoirs. Therefore, these factors will boost the expansion of this segment.

Regional Outlook

By region, the market is segmented into North America, Europe, Asia Pacific, and LAMEA. In 2022, the Europe segment acquired a considerable revenue share in the market. The financial services sector in Europe has witnessed significant adoption of graph technology. Banks and financial institutions use graph databases and analytics to detect fraudulent activities, identify money laundering schemes, and assess credit risk by analyzing intricate transaction networks. Researchers leverage graph technology to analyze complex relationships in genomics and proteomics data. Owing to these factors, the segment is expected to grow rapidly in the future.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include 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.

Recent Strategies Deployed in Graph Technology Market

Partnerships, Collaborations & Agreements:

Sep-2023: Amazon Web Services, Inc. signed a partnership with Anthropic, an AI company, to improve Anthropic’s future foundation models so that they can be accessible to AWS customers. The partnership would enable AWS customers to gain value from AWS Trainium and Amazon Bedrock.

Aug-2023: IBM Corporation came into partnership with Microsoft, an American technology company, to provide solutions for faster deployment of generative AI. The partnership reinforces IBM's commitment to provide work augmentation solutions to its customers.

Apr-2023: Neo4j, Inc. came into partnership with Imperium Solutions, a data science and cyber security solutions company, to address the Graph Technology demand in Singapore. As a result of the partnership, companies within Singapore would be able to deploy meaningful graph solutions that would help them increase their operational productivity.

Mar-2023: Neo4j, Inc. partnered with Google Cloud, a cloud platform offered by Google, to integrate its Neo4j Graph Data Science with Google Cloud's BigQuery cloud data warehouse. The integration would allow data scientists to make better AI predictions.

Jan-2023: Neo4j, Inc. signed a partnership with Gemini Data, a no-code graph data platform provider, to develop graph data solutions. The customers would benefit from this partnership by getting the tools to gain quick insights into unseen business opportunities.

Dec-2022: Microsoft Corporation partnered with the London Stock Exchange Group (LSEG) to jointly develop new data and analytics products and services. The partnership brings together the combined expertise of two industry leaders that would allow customers to generate business insights and automate complex and time-consuming processes.

Sep-2022: Amazon Web Services, Inc. announced a partnership with Salesforce, an American software company, for integration between Amazon SageMaker and Salesforce Platform. The partnership would facilitate the customers to create business-specific AI models and use them in real-time across Customer 360.

May-2022; Oracle Corporation announced a partnership with Informatica, a cloud data integration solutions provider, to facilitate operations and economy for their customers. As a result of this partnership, Customers would be able to publish data across cloud providers at a lower cost.

Product Launches and Product Expansions:

Jun-2023: Microsoft Corporation announced the launch of Microsoft Graph Toolkit v3.0, a newer version of Microsoft Graph Toolkit which is an authentication and framework-agnostic components provider for accessing and working with Microsoft Graph. The updates include styling updates, Term selection from Microsoft Graph taxonomy, search-driven application building, etc.

May-2023: IBM Corporation released IBM Quantum Safe technology, a suite of solutions used for enhancing quantum security. The solutions in the suite include IBM Quantum Safe Explorer, IBM Quantum Safe Advisor, and IBM Quantum Safe Remediator.

Apr-2023: Oracle Corporation announced the launch of Oracle Database 23c, a simple solution suite that enables developers to gain access to innovative Oracle Database features. The solution suite includes JSON Relational Duality, JavaScript Stored Procedures, JSON Schema, Operational Property Graphs, etc.

Mar-2023: Amazon Web Services, Inc. released Amazon Neptune, a managed graph database service used to build and run applications that function with highly connected datasets. Using Neptune, the users would be able to use open and popular graph query languages to execute powerful queries that are easily writeable and perform well on connected data.

Mar-2023: TigerGraph, Inc. announced the launch of version (3.9) of TigerGraph Cloud, a native parallel graph database-as-a-service that leverages machine learning capabilities, powerful new security, and advanced AI. The update includes Enhanced data ingestion, multi-edge support, Improved DevOps support, and Expanded Kubernetes functionality.

Nov-2022: Neo4j, Inc. unveiled Neo4j 5, a cloud-ready graph database that enables organizations to improve operational productivity using native graphs. The Neo4j 5 offers several benefits including Automated scale-out across several machines, Continuous updates across all deployments, and faster query performance.

Oct-2022: ArangoDB Inc. released ArangoGraph Insights Platform, a cloud-based graph data and analytics platform that facilitates gaining insights into data that are difficult to obtain with traditional SQL. ArangoGraph facilitates easy driving value from connected data.

Mergers & Acquisition:

May-2023: IBM Corporation acquired Polar Security, a security solutions provider for cloud and software-as-a-service (SaaS) application data. The acquisition would allow IBM to strengthen its Security Guardium platform.

Feb-2023: IBM Corporation signed an agreement to acquire StepZen Inc., a GraphQL server developer. The acquisition complements IBM’s organic development in areas of API management, data management, data fabric, and integration.

Jan-2023: Progress Software Corporation acquired MarkLogic, a complex data and metadata management solutions provider. The acquisition would enable Progress Software to offer its customers with solutions for enhanced business growth.

Jun-2022: Oracle Corporation acquired Cerner Corporation, an American supplier of health information technology services, devices, and hardware. Through this acquisition, Oracle focused on expanding its corporate mission to take over the responsibility of overworked medical practitioners and professionals with the new version of easier-to-use digital tools that allow access to information and insights through a hands-free voice interface to protected cloud applications. The newer medical information systems aim to minimize the administrative workload of medical professionals, improve patient outcomes and privacy, and reduce overall costs of healthcare.

Geographical Expansions:

May-2022: Oracle Corporation expanded its geographical footprint by opening a new R&D lab in Casablanca, Morocco. The lab would be used to solve business challenges using Oracle’s cloud, AI, and machine learning technologies.

Scope of the Study

Market Segments covered in the Report:

By Component

• Software
• Services

By Database Type

• Relational (SQL)
• Non-relational (No SQL)

By Deployment

• On-premise
• Cloud

By Graph Type

• Property Graph
• Resource Description Framework (RDF)
• Hypergraph

By Analysis Model

• Path Analysis
• Connectivity Analysis
• Community & Centrality Analysis

By Industry

• IT & Telecom
• Supply Chain & Logistics
• Retail & E-commerce
• BFSI
• Healthcare & Life Science
• Government & Public Sector
• Others

By Application

• Data Management & Analysis
• Fraud Detection
• Customer Analysis
• Compliance & Risk
• Identity & Access Management
• Others

By Geography

• North America
• US
• Canada
• Mexico
• Rest of North America
• Europe
• Germany
• UK
• France
• Russia
• Spain
• Italy
• Rest of Europe
• Asia Pacific
• China
• Japan
• India
• South Korea
• Singapore
• Malaysia
• Rest of Asia Pacific
• LAMEA
• Brazil
• Argentina
• UAE
• Saudi Arabia
• South Africa
• Nigeria
• Rest of LAMEA

Companies Profiled

• Oracle Corporation
• IBM Corporation
• Neo4j, Inc.
• Stardog Union
• Amazon Web Services, Inc. (Amazon.com, Inc.)
• Microsoft Corporation
• ArangoDB Inc.
• TigerGraph, Inc.
• Progress Software Corporation
• DataStax, Inc.

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