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グラフデータベースの世界市場

Graph Database

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英文 184 Pages
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即日から翌営業日
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価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=145.58円
グラフデータベースの世界市場
出版日: 2025年02月07日
発行: Global Industry Analysts, Inc.
ページ情報: 英文 184 Pages
納期: 即日から翌営業日
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概要

グラフデータベースの世界市場は2030年までに150億米ドルに達する見込み

2024年に53億米ドルと推定されるグラフデータベースの世界市場は、2024年から2030年にかけてCAGR 19.0％で成長し、2030年には150億米ドルに達すると予測されます。本レポートで分析したセグメントの1つであるグラフデータベースソフトウェアは、CAGR 17.8%を記録し、分析期間終了時には91億米ドルに達すると予測されます。グラフデータベースサービス分野の成長率は、分析期間でCAGR 21.0％と推定されます。

米国市場は15億米ドル、中国はCAGR18.5％で成長予測

米国のグラフデータベース市場は、2024年に15億米ドルと推定されます。世界第2位の経済大国である中国は、2030年までに23億米ドルの市場規模に達すると予測され、分析期間2024-2030年のCAGRは18.5%です。その他の注目すべき地域別市場としては、日本とカナダがあり、分析期間中のCAGRはそれぞれ16.6%と15.9%と予測されています。欧州では、ドイツがCAGR約13.0%で成長すると予測されています。

世界のグラフデータベース市場- 主要動向と促進要因のまとめ

グラフデータベースが複雑なデータ関係の管理と最新アプリケーションの強化に不可欠になりつつあるのはなぜか？

グラフデータベースは、複雑なデータ関係を管理し、次世代のインテリジェントなアプリケーションを実現する重要なツールとして急速に台頭しています。しかし、なぜ今グラフデータベースが不可欠なのでしょうか？データをテーブルに格納し、関係をクエリするために複数の結合を必要とする従来のリレーショナルデータベースとは異なり、グラフデータベースはデータをノード（実体）とエッジ（関係）として表現するため、データポイント間の複雑なつながりを簡単に可視化、分析、クエリすることができます。この構造は、ソーシャル・ネットワーク、レコメンデーション・エンジン、不正検知システム、サプライ・チェーン管理など、相互接続性の高いデータを扱うアプリケーションに最適です。

企業や業界がデータ主導の洞察にますます依存するようになる中、グラフデータベースは、従来のデータベースでは隠されたままだったパターン、関係、動向を発見することを可能にします。ネットワークにおける社会的つながりのマッピング、ゲノムデータにおける関係の特定、不正検出のための金融取引の追跡など、グラフデータベースは、より迅速なクエリーとデータ関係の効率的な探索を可能にします。ビッグデータ、AI、機械学習の台頭により、グラフデータベースは複雑で結びついたデータを扱う強力な方法を提供し、これらの高度な分析を活用しようとする企業にとって不可欠なテクノロジーとなっています。

技術の進歩はグラフデータベースの性能と能力をどのように向上させているのか？

技術の進歩により、グラフデータベースのパフォーマンスと機能は大幅に向上しており、よりスケーラブルで柔軟性が高く、幅広いアプリケーションで利用できるようになっています。最も重要な進歩のひとつは、データを複数のサーバーやクラウドインスタンスに分散できる分散グラフデータベースの開発です。この分散によって、グラフデータベースはより大きなデータセットやより複雑なクエリを扱うことができるようになり、企業はデータの成長に合わせてグラフデータベースインフラストラクチャを拡張することができます。分散グラフデータベースは、通信、金融サービス、eコマースなど、膨大なデータセットのリアルタイム分析が意思決定に不可欠な業界にとって、特に価値が高いです。

もうひとつの重要な進歩は、Cypher、Gremlin、SPARQLなどのグラフクエリ言語の改良で、開発者はより直感的かつ効率的にグラフデータベースを操作できるようになった。これらの言語はグラフ構造を扱うために特別に設計されており、データポイント間の関係を探索する複雑なクエリを簡単に書くことができます。例えば、Neo4j用に開発されたCypherは、グラフの探索を簡素化し、大規模なグラフのパス、近傍、パターンを簡単にクエリできます。これらの特化したクエリ言語は、グラフデータベースの使い勝手を向上させ、開発者やデータアナリストの学習曲線を短縮し、データからより深い洞察を引き出すことを可能にします。

グラフデータベースと機械学習や人工知能の統合は、組織がデータを分析・活用する方法にも変革をもたらしつつあります。グラフベースのデータモデルと機械学習アルゴリズムを組み合わせることで、企業はより洗練されたレコメンデーションシステム、予測モデル、異常検知システムを構築することができます。例えば、機械学習モデルは、グラフデータベースに格納された接続データを活用し、eコマースやコンテンツ・プラットフォームにおいて、商品、顧客、およびその行動間の関係を分析することで、ユーザーへのレコメンデーションを改善することができます。不正行為の検出では、グラフベースの機械学習モデルによって、取引データの隠れたつながりを発見し、従来のデータベースでは検出が難しかった疑わしい行為を特定することができます。

さらに、GPU（グラフィックス・プロセッシング・ユニット）の使用などハードウェアの進歩により、より高速なグラフ処理と分析が可能になっています。GPUは並列処理用に設計されているため、複数の関係を同時に評価する必要がある大規模グラフデータセットのトラバーサルに適しています。GPUの並列処理能力を活用することで、グラフデータベースはパスファインディング、クラスタリング、グラフベースのアルゴリズムなどの複雑なクエリを高速化し、グラフデータベース全体のパフォーマンスを向上させることができます。この機能は、接続されたデータを高速かつ正確に分析することが重要な、リアルタイムの不正検知のようなアプリケーションにとって特に重要です。

クラウドベースのグラフデータベースサービスの向上も、このテクノロジーの採用を後押ししています。AWS、Microsoft Azure、Google Cloudなどのクラウドプロバイダーは、マネージドグラフデータベースサービスを提供しており、企業は大規模なインフラ管理を必要とせずに、グラフデータベースを迅速に展開することができます。これらのクラウドベースのサービスは、スケーラビリティ、セキュリティ、他のデータツールとの統合を提供し、あらゆる規模の組織がデータ管理のニーズにグラフデータベースを活用することを容易にしています。クラウドサービスの利便性とグラフデータベースの柔軟性が相まって、コネクテッドデータのパワーを活用しようとする企業にとって、このテクノロジーはより身近なものとなっています。

なぜグラフデータベースがリアルタイム・データ分析、不正検知、レコメンデーション・システムに不可欠なのか？

グラフデータベースがリアルタイムデータ分析、不正検知、レコメンデーションシステムに不可欠なのは、複雑で相互に接続されたデータをモデル化、保存、照会する効率的な方法を提供するからです。リアルタイムのデータ分析において、グラフデータベースはデータ・ポイント間の関係を特定することに優れており、これはエンティティ間のつながりがエンティティそのものと同じくらい重要なシナリオにおいて不可欠です。例えば通信では、グラフデータベースは通話記録、ネットワーク・トラフィック、ユーザー関係をモデル化し、パターンの特定、ネットワーク・パフォーマンスの最適化、将来の利用予測を行うために使用されています。金融分野では、グラフデータベースによるリアルタイム分析が、顧客、取引、金融商品の関係を分析することで、取引の監視、市場動向の検出、不正行為の防止に役立っています。

不正行為の検出においては、一見無関係に見えるエンティティ間の隠れたつながりを明らかにすることで、不正行為の検出を容易にし、グラフデータベースは重要な役割を果たします。従来のデータベースは、エンティティ間の複雑な関係、特に動的な関係を持つ大規模なデータセットを扱うのに苦労していました。しかし、グラフデータベースは、個人、口座、取引、デバイス間の複雑なつながりをモデル化することができるため、組織は異常を検出し、不正のパターンを発見することができます。例えば、銀行業務では、グラフデータベースは、複数の口座、第三者、または異常な相互作用のパターンが関与する疑わしい取引を特定することができ、マネーロンダリング、ID窃盗、クレジットカード詐欺などの金融犯罪を防止するのに役立ちます。

レコメンデーションシステムもまた、グラフベースの構造から大きな恩恵を受けています。コンテンツ・プラットフォーム、eコマース、ソーシャルメディアでは、レコメンデーション・エンジンは、ユーザーの行動、嗜好、他のユーザーやアイテムとの関係を分析し、パーソナライズされたレコメンデーションを提供する必要があります。グラフデータベースは、このような複雑な関係の保存とクエリーを容易にし、推薦システムがより正確で関連性の高い提案を提供できるようにします。例えば、eコマースプラットフォームでは、グラフデータベースがユーザー、商品、購入履歴、商品属性間の関係を分析し、推薦エンジンが類似ユーザーの購入履歴や嗜好に基づいて商品を提案することを可能にします。同様に、ストリーミング・プラットフォームでは、グラフデータベースが視聴履歴やコンテンツの関係を分析し、ユーザーの視聴パターンや類似ユーザーの視聴パターンに基づいて、ユーザーに新しい番組や映画を推薦することができます。

グラフデータベースは、サイバーセキュリティ・アプリケーションにおいても優れており、ネットワーク・ノード、ユーザー、イベント間の関係を特定することは、サイバー脅威の検出と軽減に不可欠です。ネットワーク監視では、グラフデータベースはデバイス間の接続、IPアドレス、ネットワーク・トラフィック・パターンを追跡・分析し、マルウェア感染や不正アクセスの試みなどの疑わしい活動を特定することができます。これらの接続をリアルタイムで可視化・分析することで、セキュリティチームはより迅速かつ効果的に脅威に対応し、データ侵害やサイバー攻撃のリスクを低減することができます。

さらにグラフデータベースは、サプライヤー、製品、出荷、顧客間の複雑な関係を追跡・分析することで、サプライチェーン管理をサポートします。サプライチェーンでは、遅延や混乱、非効率が発生する可能性のあるタッチポイントが数多く存在します。サプライチェーン全体をグラフとしてモデル化することで、企業はこれらの関係をリアルタイムで可視化し、ボトルネックの特定、ロジスティクスの最適化、円滑なオペレーションを実現することができます。グラフデータベースは、このようなダイナミックな関係を管理する柔軟な方法を提供し、企業が変化に迅速に対応し、効率的なサプライチェーンを維持できるようにします。

グラフデータベース市場の成長を促進する要因とは？

グラフデータベース市場の急成長には、最新のアプリケーションにおけるデータの複雑化、AIと機械学習の台頭、リアルタイム分析に対する需要の高まり、クラウドベースのデータベースソリューションの進歩など、いくつかの重要な要因があります。まず、最新のアプリケーションにおけるデータの複雑化は、グラフデータベース市場の主要な促進要因です。企業がより多くのデータを収集・生成するにつれて、データポイント間の関係はより複雑になり、従来のリレーショナルデータベースでは管理が難しくなっています。ソーシャルメディア、eコマース、金融サービス、ヘルスケアなどのアプリケーションは、いずれも複雑なデータ・ネットワークを含んでおり、関係の効率的な管理と分析が必要です。高度に接続されたデータを扱うことができるグラフデータベースは、こうした課題に対処するために採用されるケースが増えています。

AIや機械学習の台頭も、グラフデータベース市場の成長を促進する重要な要因の一つです。機械学習モデルやAIアルゴリズムは、多くの場合、複雑な関係を持つ大規模データセットの分析に依存し、洞察の生成や予測を行う。グラフデータベースは、このような関係をより自然に表現する方法を提供し、より効率的なデータ処理とAIモデルの精度向上を可能にします。例えば、推薦システム、不正検出、ナレッジグラフなどでは、AIを搭載したアプリケーションはグラフデータベースを使用してデータポイントの相互関連性を分析し、意思決定プロセスを強化し、より深い洞察を提供しています。AIの導入が業界全体で拡大し続ける中、接続されたデータを効率的に管理しクエリできるグラフデータベースへの需要が高まっています。

リアルタイム分析に対する需要の高まりも、グラフデータベース市場を牽引する大きな要因です。金融、小売、通信などの分野の企業は、重要な意思決定を迅速に行うために、リアルタイムでデータを処理・分析する必要があります。不正取引の検出、顧客とのやり取りの最適化、サプライチェーンの管理など、競争力を維持するためにはリアルタイムの考察が不可欠です。グラフデータベースは、データ・ポイント間の関係を迅速にトラバースし、そのつながりを分析する能力を備えており、業務に対するリアルタイムの可視性を求める企業にソリューションを提供します。このリアルタイム機能は、迅速な不正検知によって数百万米ドルを節約できる金融サービスなど、即座の意思決定が求められる業界では特に重要です。

クラウドベースのグラフデータベースソリューションの進歩も、市場の成長を後押ししています。クラウドの普及が進むにつれ、企業は拡張性、柔軟性、使いやすさを求めてクラウドベースのグラフデータベースサービスを利用するようになっています。AWS、Microsoft Azure、Google Cloudなどのクラウドプロバイダーが提供するマネージドグラフデータベースサービスにより、企業は高価なインフラや専門知識に投資することなく、グラフデータベースを迅速に導入することができます。これにより、グラフデータベースはあらゆる規模の企業にとって利用しやすくなり、中小企業でも多額の初期費用をかけずにコネクテッドデータ分析のパワーを活用できるようになった。また、クラウドベースのソリューションの柔軟性により、企業はデータニーズの成長に合わせてグラフデータベースを拡張することができ、増加するデータ量を管理するためのコスト効率の高い方法を提供することができます。

これらの要因に加えて、データの透明性とトレーサビリティに対する規制上の要件が、グラフデータベースの採用を後押ししています。ヘルスケア、金融、サプライチェーン管理などの業界では、データ、トランザクション、製品の流れを追跡し、文書化することが規制によって義務付けられています。グラフデータベースは、このような複雑なデータ関係をモデル化してクエリする効率的な方法を提供し、規制へのコンプライアンスを確保すると同時に、データや製品の動きをより可視化します。

結論として、グラフデータベース市場の成長は、データの複雑化、AIと機械学習の台頭、リアルタイム分析の需要、クラウドベースのデータベースソリューションの進歩によってもたらされています。企業が相互接続された膨大な量のデータに取り組み続ける中、グラフデータベースは、インテリジェントなアプリケーションを強化し、意思決定を改善し、幅広い業界のプロセスを最適化する上で中心的な役割を果たすと思われます。

セグメント

コンポーネント（ソフトウェア、サービス）;タイプ（プロパティグラフ、RDF）;アプリケーション（不正検知・防止、リスク・コンプライアンス・レポーティング管理、サプライチェーン管理、その他のアプリケーション）

調査対象企業の例（全22件）

  • Amazon Web Services, Inc.
  • ArangoDB Inc.
  • Bitnine Co, Ltd.
  • Blazegraph
  • Cambridge Semantics
  • Cray, Inc.
  • DataStax, Inc.
  • Fluree, PBC
  • Franz Inc.
  • IBM Corporation
  • MarkLogic Corporation
  • Memgraph Ltd.
  • Microsoft Corporation
  • MongoDB, Inc.
  • Neo4j, Inc.
  • Objectivity Inc.
  • Ontotext
  • OpenLink Software, Inc.
  • Oracle Corporation
  • Orientdb
  • Sparcity Technologies
  • Stardog
  • Teradata Corporation
  • TIBCO Software, Inc.
  • Tigergraph

目次

第1章 調査手法

第2章 エグゼクティブサマリー

  • 市場概要
  • 主要企業
  • 市場動向と促進要因
  • 世界市場の見通し

第3章 市場分析

  • 米国
  • カナダ
  • 日本
  • 中国
  • 欧州
  • フランス
  • ドイツ
  • イタリア
  • 英国
  • その他欧州
  • アジア太平洋
  • その他の地域

第4章 競合

目次
Product Code: MCP12218

Global Graph Database Market to Reach US$15.0 Billion by 2030

The global market for Graph Database estimated at US$5.3 Billion in the year 2024, is expected to reach US$15.0 Billion by 2030, growing at a CAGR of 19.0% over the analysis period 2024-2030. Graph Database Software, one of the segments analyzed in the report, is expected to record a 17.8% CAGR and reach US$9.1 Billion by the end of the analysis period. Growth in the Graph Database Services segment is estimated at 21.0% CAGR over the analysis period.

The U.S. Market is Estimated at US$1.5 Billion While China is Forecast to Grow at 18.5% CAGR

The Graph Database market in the U.S. is estimated at US$1.5 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$2.3 Billion by the year 2030 trailing a CAGR of 18.5% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 16.6% and 15.9% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 13.0% CAGR.

Global Graph Database Market - Key Trends and Drivers Summarized

Why Are Graph Databases Becoming Essential for Managing Complex Data Relationships and Powering Modern Applications?

Graph databases are rapidly emerging as a crucial tool for managing complex data relationships and enabling the next generation of intelligent applications. But why are graph databases so essential today? Unlike traditional relational databases, which store data in tables and require multiple joins to query relationships, graph databases represent data as nodes (entities) and edges (relationships), making it easier to visualize, analyze, and query intricate connections between data points. This structure is ideal for applications that involve highly interconnected data, such as social networks, recommendation engines, fraud detection systems, and supply chain management.

As businesses and industries increasingly rely on data-driven insights, graph databases enable organizations to discover patterns, relationships, and trends that would otherwise remain hidden in conventional databases. Whether it's mapping social connections in a network, identifying relationships in genomic data, or tracking financial transactions for fraud detection, graph databases allow for faster querying and more efficient exploration of data relationships. With the rise of big data, AI, and machine learning, graph databases provide a powerful way to handle complex, connected data and have become an indispensable technology for companies seeking to leverage these advanced analytics.

How Are Technological Advancements Enhancing the Performance and Capabilities of Graph Databases?

Technological advancements are significantly improving the performance and capabilities of graph databases, making them more scalable, flexible, and accessible for a broader range of applications. One of the most important advancements is the development of distributed graph databases, which allow data to be spread across multiple servers or cloud instances. This distribution enables graph databases to handle larger datasets and more complex queries, allowing organizations to scale their graph database infrastructure as their data grows. Distributed graph databases are particularly valuable for industries such as telecommunications, financial services, and e-commerce, where real-time analysis of massive datasets is essential for decision-making.

Another critical advancement is the improvement in graph query languages, such as Cypher, Gremlin, and SPARQL, which allow developers to interact with graph databases more intuitively and efficiently. These languages are specifically designed to handle graph structures, making it easier to write complex queries that explore the relationships between data points. For example, Cypher, developed for Neo4j, simplifies graph traversals, making it easy to query for paths, neighbors, and patterns in large graphs. These specialized query languages enhance the usability of graph databases, reducing the learning curve for developers and data analysts and allowing them to unlock deeper insights from their data.

The integration of graph databases with machine learning and artificial intelligence is also transforming the way organizations analyze and utilize their data. By combining graph-based data models with machine learning algorithms, companies can build more sophisticated recommendation systems, predictive models, and anomaly detection systems. For instance, machine learning models can leverage the connected data stored in graph databases to improve recommendations for users in e-commerce or content platforms by analyzing the relationships between products, customers, and their behaviors. In fraud detection, graph-based machine learning models can uncover hidden connections in transaction data, identifying suspicious activities that would be difficult to detect with traditional databases.

In addition, advances in hardware, such as the use of GPUs (Graphics Processing Units), are enabling faster graph processing and analysis. GPUs are designed for parallel processing, making them well-suited for the traversal of large graph datasets, where multiple relationships must be evaluated simultaneously. By leveraging the parallel processing power of GPUs, graph databases can accelerate complex queries, such as pathfinding, clustering, and graph-based algorithms, improving the overall performance of graph databases. This capability is particularly important for applications like real-time fraud detection, where fast, accurate analysis of connected data is crucial.

Improvements in cloud-based graph database services are also driving the adoption of this technology. Cloud providers such as AWS, Microsoft Azure, and Google Cloud offer managed graph database services that enable organizations to deploy graph databases quickly and without the need for extensive infrastructure management. These cloud-based services offer scalability, security, and integration with other data tools, making it easier for organizations of all sizes to leverage graph databases for their data management needs. The convenience of cloud services, combined with the flexibility of graph databases, is making this technology more accessible to businesses looking to harness the power of connected data.

Why Are Graph Databases Critical for Real-Time Data Analysis, Fraud Detection, and Recommendation Systems?

Graph databases are critical for real-time data analysis, fraud detection, and recommendation systems because they provide an efficient way to model, store, and query complex, interconnected data. In real-time data analysis, graph databases excel at identifying relationships between data points, which is essential in scenarios where the connections between entities are as important as the entities themselves. For instance, in telecommunications, graph databases are used to model call records, network traffic, and user relationships to identify patterns, optimize network performance, and predict future usage. In finance, real-time analytics powered by graph databases help monitor transactions, detect market trends, and prevent fraudulent activities by analyzing the relationships between customers, transactions, and financial instruments.

In fraud detection, graph databases play a critical role by uncovering hidden connections between seemingly unrelated entities, making it easier to detect fraudulent behavior. Traditional databases struggle to handle complex relationships between entities, especially when it comes to large datasets with dynamic relationships. However, graph databases can model intricate connections between individuals, accounts, transactions, and devices, enabling organizations to detect anomalies and uncover patterns of fraud. For example, in banking, graph databases can identify suspicious transactions that involve multiple accounts, third parties, or unusual patterns of interaction, helping prevent financial crimes such as money laundering, identity theft, and credit card fraud.

Recommendation systems also benefit significantly from the graph-based structure. In content platforms, e-commerce, or social media, recommendation engines need to analyze user behavior, preferences, and relationships with other users or items to provide personalized recommendations. Graph databases make it easier to store and query these complex relationships, allowing recommendation systems to offer more accurate and relevant suggestions. For instance, in an e-commerce platform, a graph database can analyze the relationships between users, products, purchase histories, and product attributes, enabling the recommendation engine to suggest products based on similar users' purchases or preferences. Similarly, in streaming platforms, graph databases can analyze viewing histories and content relationships to recommend new shows or movies to users based on their viewing patterns and those of similar users.

Graph databases also excel in cybersecurity applications, where identifying the relationships between network nodes, users, and events is essential for detecting and mitigating cyber threats. In network monitoring, graph databases can track and analyze connections between devices, IP addresses, and network traffic patterns to identify suspicious activity, such as malware infections or unauthorized access attempts. By visualizing and analyzing these connections in real time, security teams can respond to threats more quickly and effectively, reducing the risk of data breaches or cyberattacks.

Furthermore, graph databases support supply chain management by tracking and analyzing the complex relationships between suppliers, products, shipments, and customers. In a supply chain, there are numerous touchpoints where delays, disruptions, or inefficiencies can occur. By modeling the entire supply chain as a graph, businesses can gain real-time visibility into these relationships, allowing them to identify bottlenecks, optimize logistics, and ensure smoother operations. Graph databases provide a flexible way to manage these dynamic relationships, ensuring that businesses can adapt quickly to changes and maintain efficient supply chains.

What Factors Are Driving the Growth of the Graph Database Market?

Several key factors are driving the rapid growth of the graph database market, including the increasing complexity of data in modern applications, the rise of AI and machine learning, the growing demand for real-time analytics, and advancements in cloud-based database solutions. First, the increasing complexity of data in modern applications is a major driver of the graph database market. As businesses collect and generate more data, the relationships between data points are becoming more intricate and harder to manage using traditional relational databases. Applications in social media, e-commerce, financial services, and healthcare all involve complex data networks that require efficient management and analysis of relationships. Graph databases, with their ability to handle highly connected data, are increasingly being adopted to address these challenges.

The rise of AI and machine learning is another significant factor driving the growth of the graph database market. Machine learning models and AI algorithms often rely on analyzing large datasets with complex relationships to generate insights or make predictions. Graph databases provide a more natural way to represent these relationships, allowing for more efficient data processing and improving the accuracy of AI models. For example, in recommendation systems, fraud detection, and knowledge graphs, AI-powered applications use graph databases to analyze the interconnectedness of data points, which enhances decision-making processes and provides deeper insights. As AI adoption continues to grow across industries, the demand for graph databases that can efficiently manage and query connected data is increasing.

The growing demand for real-time analytics is another major factor driving the graph database market. Businesses in sectors like finance, retail, and telecommunications need to process and analyze data in real time to make critical decisions quickly. Whether it's detecting fraudulent transactions, optimizing customer interactions, or managing supply chains, real-time insights are essential for staying competitive. Graph databases, with their ability to rapidly traverse relationships and analyze connections between data points, offer a solution for businesses seeking real-time visibility into their operations. This real-time capability is particularly important in industries that require instant decision-making, such as financial services, where rapid fraud detection can save millions of dollars.

Advancements in cloud-based graph database solutions are also fueling market growth. As cloud adoption continues to rise, companies are turning to cloud-based graph database services for their scalability, flexibility, and ease of use. Cloud providers like AWS, Microsoft Azure, and Google Cloud offer managed graph database services that allow businesses to deploy graph databases quickly without investing in expensive infrastructure or specialized expertise. This has made graph databases more accessible to organizations of all sizes, allowing smaller businesses to leverage the power of connected data analysis without significant upfront costs. The flexibility of cloud-based solutions also enables businesses to scale their graph databases as their data needs grow, providing a cost-effective way to manage increasing volumes of data.

In addition to these factors, regulatory requirements for data transparency and traceability are driving the adoption of graph databases. In industries such as healthcare, finance, and supply chain management, regulations require businesses to track and document the flow of data, transactions, or products. Graph databases offer an efficient way to model and query these complex data relationships, ensuring compliance with regulations while also providing greater visibility into the movement of data or products.

In conclusion, the growth of the graph database market is being driven by the increasing complexity of data, the rise of AI and machine learning, the demand for real-time analytics, and advancements in cloud-based database solutions. As businesses continue to grapple with vast amounts of interconnected data, graph databases will play a central role in powering intelligent applications, improving decision-making, and optimizing processes across a wide range of industries.

SCOPE OF STUDY:

The report analyzes the Graph Database market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Component (Software, Services); Type (Property Graph, RDF); Application (Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management, Other Applications)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 22 Featured) -

  • Amazon Web Services, Inc.
  • ArangoDB Inc.
  • Bitnine Co, Ltd.
  • Blazegraph
  • Cambridge Semantics
  • Cray, Inc.
  • DataStax, Inc.
  • Fluree, PBC
  • Franz Inc.
  • IBM Corporation
  • MarkLogic Corporation
  • Memgraph Ltd.
  • Microsoft Corporation
  • MongoDB, Inc.
  • Neo4j, Inc.
  • Objectivity Inc.
  • Ontotext
  • OpenLink Software, Inc.
  • Oracle Corporation
  • Orientdb
  • Sparcity Technologies
  • Stardog
  • Teradata Corporation
  • TIBCO Software, Inc.
  • Tigergraph

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • Global Economic Update
    • Graph Database - Global Key Competitors Percentage Market Share in 2025 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Growing Adoption of Graph Databases in AI, Machine Learning, and Big Data Analytics
    • Expansion of Applications in Fraud Detection, Cybersecurity, and Risk Management
    • Increasing Use of Graph Databases in Healthcare for Patient Data and Genomic Research
    • Role of Graph Databases in Enabling Real-time Recommendations and Personalization
    • Future Directions: Integration of Graph Databases with Quantum Computing for Advanced Insights
    • Market Opportunities in Financial Services for Enhanced Customer Insights and Risk Analysis
    • Role of Graph Databases in Enabling Smarter Supply Chain Management and Logistics
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Graph Database Market Analysis of Annual Sales in US$ Thousand for Years 2015 through 2030
    • TABLE 2: World Recent Past, Current & Future Analysis for Graph Database by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 3: World Historic Review for Graph Database by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 4: World 15-Year Perspective for Graph Database by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2015, 2025 & 2030
    • TABLE 5: World Recent Past, Current & Future Analysis for Software by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 6: World Historic Review for Software by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 7: World 15-Year Perspective for Software by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 8: World Recent Past, Current & Future Analysis for Services by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 9: World Historic Review for Services by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 10: World 15-Year Perspective for Services by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 11: World Recent Past, Current & Future Analysis for Property Graph by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 12: World Historic Review for Property Graph by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 13: World 15-Year Perspective for Property Graph by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 14: World Recent Past, Current & Future Analysis for RDF by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 15: World Historic Review for RDF by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 16: World 15-Year Perspective for RDF by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 17: World Recent Past, Current & Future Analysis for Fraud Detection & Prevention by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 18: World Historic Review for Fraud Detection & Prevention by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 19: World 15-Year Perspective for Fraud Detection & Prevention by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 20: World Recent Past, Current & Future Analysis for Risk, Compliance & Reporting Management by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 21: World Historic Review for Risk, Compliance & Reporting Management by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 22: World 15-Year Perspective for Risk, Compliance & Reporting Management by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 23: World Recent Past, Current & Future Analysis for Supply Chain Management by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 24: World Historic Review for Supply Chain Management by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 25: World 15-Year Perspective for Supply Chain Management by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
    • TABLE 26: World Recent Past, Current & Future Analysis for Other Applications by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 27: World Historic Review for Other Applications by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 28: World 15-Year Perspective for Other Applications by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Graph Database Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 29: USA Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 30: USA Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 31: USA 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 32: USA Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 33: USA Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 34: USA 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 35: USA Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 36: USA Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 37: USA 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030
  • CANADA
    • TABLE 38: Canada Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 39: Canada Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 40: Canada 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 41: Canada Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 42: Canada Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 43: Canada 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 44: Canada Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 45: Canada Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 46: Canada 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030
  • JAPAN
    • Graph Database Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 47: Japan Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 48: Japan Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 49: Japan 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 50: Japan Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 51: Japan Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 52: Japan 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 53: Japan Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 54: Japan Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 55: Japan 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030
  • CHINA
    • Graph Database Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 56: China Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 57: China Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 58: China 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 59: China Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 60: China Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 61: China 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 62: China Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 63: China Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 64: China 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030
  • EUROPE
    • Graph Database Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 65: Europe Recent Past, Current & Future Analysis for Graph Database by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 66: Europe Historic Review for Graph Database by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 67: Europe 15-Year Perspective for Graph Database by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2015, 2025 & 2030
    • TABLE 68: Europe Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 69: Europe Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 70: Europe 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 71: Europe Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 72: Europe Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 73: Europe 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 74: Europe Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 75: Europe Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 76: Europe 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030
  • FRANCE
    • Graph Database Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 77: France Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 78: France Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 79: France 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 80: France Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 81: France Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 82: France 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 83: France Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 84: France Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 85: France 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030
  • GERMANY
    • Graph Database Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 86: Germany Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 87: Germany Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 88: Germany 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 89: Germany Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 90: Germany Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 91: Germany 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 92: Germany Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 93: Germany Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 94: Germany 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030
  • ITALY
    • TABLE 95: Italy Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 96: Italy Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 97: Italy 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 98: Italy Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 99: Italy Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 100: Italy 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 101: Italy Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 102: Italy Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 103: Italy 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030
  • UNITED KINGDOM
    • Graph Database Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 104: UK Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 105: UK Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 106: UK 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 107: UK Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 108: UK Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 109: UK 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 110: UK Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 111: UK Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 112: UK 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030
  • REST OF EUROPE
    • TABLE 113: Rest of Europe Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 114: Rest of Europe Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 115: Rest of Europe 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 116: Rest of Europe Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 117: Rest of Europe Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 118: Rest of Europe 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 119: Rest of Europe Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 120: Rest of Europe Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 121: Rest of Europe 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030
  • ASIA-PACIFIC
    • Graph Database Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 122: Asia-Pacific Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 123: Asia-Pacific Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 124: Asia-Pacific 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 125: Asia-Pacific Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 126: Asia-Pacific Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 127: Asia-Pacific 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 128: Asia-Pacific Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 129: Asia-Pacific Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 130: Asia-Pacific 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030
  • REST OF WORLD
    • TABLE 131: Rest of World Recent Past, Current & Future Analysis for Graph Database by Component - Software and Services - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 132: Rest of World Historic Review for Graph Database by Component - Software and Services Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 133: Rest of World 15-Year Perspective for Graph Database by Component - Percentage Breakdown of Value Sales for Software and Services for the Years 2015, 2025 & 2030
    • TABLE 134: Rest of World Recent Past, Current & Future Analysis for Graph Database by Type - Property Graph and RDF - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 135: Rest of World Historic Review for Graph Database by Type - Property Graph and RDF Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 136: Rest of World 15-Year Perspective for Graph Database by Type - Percentage Breakdown of Value Sales for Property Graph and RDF for the Years 2015, 2025 & 2030
    • TABLE 137: Rest of World Recent Past, Current & Future Analysis for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 138: Rest of World Historic Review for Graph Database by Application - Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
    • TABLE 139: Rest of World 15-Year Perspective for Graph Database by Application - Percentage Breakdown of Value Sales for Fraud Detection & Prevention, Risk, Compliance & Reporting Management, Supply Chain Management and Other Applications for the Years 2015, 2025 & 2030

IV. COMPETITION