グラフデータベース市場レポート：コンポーネント別、データベースタイプ別、分析タイプ別、展開モデル別、用途別、業界別、地域別、2025年～2033年

グラフデータベースの世界市場規模は2024年に20億米ドルに達しました。今後、IMARC Groupは、同市場は2033年までに86億米ドルに達し、2025～2033年の成長率（CAGR）は17.57％に達すると予測しています。サイバーセキュリティにおける脅威検知やネットワーク分析のためのグラフデータベースの採用の増加、リアルタイム分析やAI主導の洞察に対する需要の高まり、ヘルスケアや金融などの業界におけるデータ統合やパーソナライズされたサービスのためのアプリケーションの拡大は、市場成長を促進する主な要因の一部です。

グラフデータベースの市場分析：

主な市場促進要因：小売、IT・通信、製造、運輸、銀行・金融サービス・保険（BFSI）など、さまざまな業界でグラフデータベースのソリューションの利用が増加していることが、市場成長を促進する主な要因の1つとなっています。

主な市場動向：人工知能（AI）ベースのグラフデータベースのツールの採用が世界中で拡大していることは、市場の成長を促進する重要な動向の1つです。

競合情勢：グラフデータベースの市場の主要企業としては、Amazon Web Services Inc.（Amazon.com Inc.）, Datastax Inc., Franz Inc., International Business Machines Corporation, Marklogic Corporation, Microsoft Corporation, Neo4j Inc.

地理的動向：報告書によると、現在北米が世界市場を独占しています。同地域におけるテクノロジーの利用拡大が、グラフデータベースの市場の成長を促進する主な理由の1つです。IBM、マイクロソフト、Neo4j、オラクルなど、北米全域でのグラフデータベースのプレイヤーの拡大は、市場のさらなる拡大を促進すると予測されています。

課題と機会：グラフデータベースの市場における課題には、データプライバシーへの懸念、リレーショナルデータベースからの移行の複雑さ、熟練した人材の必要性などがあります。ビジネスチャンスは、不正検知、パーソナライズされたレコメンデーションシステム、ナレッジグラフ・アプリケーションなど、進化する使用事例への対応にあり、イノベーションと市場拡大を促進します。

グラフデータベースの市場動向：

データ量の増加と複雑化

市場の成長を促す主な要因の1つは、世界中の数多くの組織が生成するデータ量の増加です。次世代技術の登場とコネクテッドデバイスの普及により、企業はソーシャルメディア、顧客とのやりとり、IoTデバイス、トランザクション、クラウドコンピューティングなど、さまざまなソースから膨大な量のデータを生成しています。例えば、シスコによると、IoTは2019年に約507.5ゼタバイトのデータを生成しました。また、Ponemon InstituteとShared Assessments Programによる調査では、リスク監督とコーポレート・ガバナンスの専門家の少なくとも81％が、データ漏洩は社内の安全でないIoTデバイスによって起こったと考えていることが共有されました。これを受け、企業はデータから価値ある洞察を導き出し、データのクレンジング、検証、エンリッチメント機能を提供することで、データのセキュリティと正確性を確保するために、グラフデータベースのソリューションを統合するケースが増えています。このことが、今後数年間のグラフデータベースの市場の需要を促進すると予測されています。

製品提供の増加

さまざまな主要企業が、さまざまな使用事例や要件に対応するさまざまなグラフデータベースのソリューションを発表しています。例えば、2024年4月、Neo4jはGoogle Cloudと提携し、GenAIアプリケーション向けの新しいGraphRAG機能を発表しました。この発表により、いくつかの重要な段階にわたって、ジェネレーティブAIアプリケーションの開発と展開がスピードアップします。この成果は、リアルタイムで文脈に富んだデータと正確で説明可能な結果を必要とするGenAIアプリケーションを構築し、成功させるために、複雑さと幻覚に悩む企業の問題を解決します。同様に、2023年12月、アマゾンウェブサービス（AWS）は、ベクトル検索とグラフデータの力を組み合わせた新しい分析データベースエンジンを発表しました。Amazon Neptune Analyticsと名付けられたこの新サービスの一般提供は、ラスベガスで開催されたre-investカンファレンスで発表されました。この新サービスは、1回限りのセットアップ料金や定期的なサブスクリプションが不要な従量課金モデルとして利用できます。現在、米国東部、米国西部、アジア太平洋、欧州を含む一部のAWSリージョンで利用可能です。このようなグラフデータベースの技術革新は、今後数年間のグラフデータベースの市場シェアを押し上げると予想されます。

さまざまな業界における製品用途の拡大

グラフデータベースは、金融、ヘルスケア、小売、物流、製造など、さまざまな業界で採用されており、特定の使用事例やビジネス課題に対応しています。例えば、2024年1月、世界の製薬会社であるセルヴィエの研究開発部門は、薬剤研究の時間を短縮し、臨床段階における薬剤候補の成功率を向上させるためにグラフ技術の活用を開始しました。同社はPegasusと呼ばれるNeo4jのグラフを使用しており、サードパーティと独自のデータの両方をよりよく整理し、調査することを可能にしています。同様に、不正行為の検出と防止を目的とした金融分野でのグラフ・データベースの利用が拡大していることも、グラフデータベースの市場の最近の相場の起爆剤となっています。例えば、Amazon Neptuneのようなグラフデータベースは、データを横断して同時に計算を実行できるため、クエリを実行するために使用されることが増えています。グラフは、複数接続されたネットワーク上のトランザクションや当事者を表し、パターンや接続の連鎖を発見します。その結果、グラフ・データベースは疑わしい取引のパターンを見つけるのに役立つため、アンチ・マネー・ロンダリング（AML）アプリケーションで広く使用されています。

目次

第1章 序文

第2章 調査範囲と調査手法

• 調査の目的
• ステークホルダー
• データソース
  • 一次情報
  • 二次情報
• 市場推定
  • ボトムアップアプローチ
  • トップダウンアプローチ
• 調査手法

第3章 エグゼクティブサマリー

第4章 イントロダクション

• 概要
• 主要業界動向

第5章 世界のグラフデータベース市場

• 市場概要
• 市場実績
• COVID-19の影響
• 市場予測

第6章 市場内訳：コンポーネント別

• ソフトウェア
• サービス

第7章 市場内訳：データベースタイプ別

• リレーショナル（SQL）
• 非リレーショナル（NoSQL）

第8章 市場内訳：分析タイプ別

• パス分析
• 接続性分析
• コミュニティ分析
• 中心性分析

第9章 市場内訳：展開モデル別

• オンプレミス
• クラウドベース

第10章 市場内訳：用途別

• 不正行為の検出とリスク管理
• マスターデータ管理
• 顧客分析
• アイデンティティとアクセス管理
• レコメンデーションエンジン
• プライバシーとリスクコンプライアンス
• その他

第11章 市場内訳：業界別

• BFSI
• 小売業とeコマース
• ITおよび通信
• ヘルスケアとライフサイエンス
• 政府および公共部門
• メディアとエンターテイメント
• 製造
• 運輸・物流
• その他

第12章 市場内訳：地域別

• 北米
  • 米国
  • カナダ
• アジア太平洋地域
  • 中国
  • 日本
  • インド
  • 韓国
  • オーストラリア
  • インドネシア
  • その他
• 欧州
  • ドイツ
  • フランス
  • 英国
  • イタリア
  • スペイン
  • ロシア
  • その他
• ラテンアメリカ
  • ブラジル
  • メキシコ
  • その他
• 中東・アフリカ
  • 市場内訳：国別

第13章 SWOT分析

• 概要
• 強み
• 弱み
• 機会
• 脅威

第14章 バリューチェーン分析

第15章 ポーターのファイブフォース分析

• 概要
• 買い手の交渉力
• 供給企業の交渉力
• 競合の程度
• 新規参入業者の脅威
• 代替品の脅威

第16章 価格分析

第17章 競合情勢

• 市場構造
• 主要企業
• 主要企業のプロファイル
  • Amazon Web Services Inc.（Amazon.com Inc.）
  • Datastax Inc.
  • Franz Inc.
  • International Business Machines Corporation
  • Marklogic Corporation
  • Microsoft Corporation
  • Neo4j Inc.
  • Objectivity Inc.
  • Oracle Corporation
  • Stardog Union
  • Tibco Software Inc.
  • Tigergraph Inc.

List of Figures

• Figure 1: Global: Graph Database Market: Major Drivers and Challenges
• Figure 2: Global: Graph Database Market: Sales Value (in Billion USD), 2019-2024
• Figure 3: Global: Graph Database Market Forecast: Sales Value (in Billion USD), 2025-2033
• Figure 4: Global: Graph Database Market: Breakup by Component (in %), 2024
• Figure 5: Global: Graph Database Market: Breakup by Type of Database (in %), 2024
• Figure 6: Global: Graph Database Market: Breakup by Analysis Type (in %), 2024
• Figure 7: Global: Graph Database Market: Breakup by Deployment Model (in %), 2024
• Figure 8: Global: Graph Database Market: Breakup by Application (in %), 2024
• Figure 9: Global: Graph Database Market: Breakup by Industry Vertical (in %), 2024
• Figure 10: Global: Graph Database Market: Breakup by Region (in %), 2024
• Figure 11: Global: Graph Database (Software) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 12: Global: Graph Database (Software) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 13: Global: Graph Database (Services) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 14: Global: Graph Database (Services) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 15: Global: Graph Database (Relational (SQL)) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 16: Global: Graph Database (Relational (SQL)) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 17: Global: Graph Database (Non-Relational (NoSQL)) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 18: Global: Graph Database (Non-Relational (NoSQL)) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 19: Global: Graph Database (Path Analysis) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 20: Global: Graph Database (Path Analysis) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 21: Global: Graph Database (Connectivity Analysis) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 22: Global: Graph Database (Connectivity Analysis) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 23: Global: Graph Database (Community Analysis) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 24: Global: Graph Database (Community Analysis) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 25: Global: Graph Database (Centrality Analysis) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 26: Global: Graph Database (Centrality Analysis) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 27: Global: Graph Database (On-premises) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 28: Global: Graph Database (On-premises) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 29: Global: Graph Database (Cloud-based) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 30: Global: Graph Database (Cloud-based) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 31: Global: Graph Database (Fraud Detection and Risk Management) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 32: Global: Graph Database (Fraud Detection and Risk Management) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 33: Global: Graph Database (Master Data Management) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 34: Global: Graph Database (Master Data Management) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 35: Global: Graph Database (Customer Analytics) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 36: Global: Graph Database (Customer Analytics) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 37: Global: Graph Database (Identity and Access Management) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 38: Global: Graph Database (Identity and Access Management) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 39: Global: Graph Database (Recommendation Engine) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 40: Global: Graph Database (Recommendation Engine) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 41: Global: Graph Database (Privacy and Risk Compliance) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 42: Global: Graph Database (Privacy and Risk Compliance) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 43: Global: Graph Database (Other Applications) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 44: Global: Graph Database (Other Applications) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 45: Global: Graph Database (BFSI) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 46: Global: Graph Database (BFSI) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 47: Global: Graph Database (Retail and E-Commerce) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 48: Global: Graph Database (Retail and E-Commerce) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 49: Global: Graph Database (IT and Telecom) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 50: Global: Graph Database (IT and Telecom) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 51: Global: Graph Database (Healthcare and Life Science) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 52: Global: Graph Database (Healthcare and Life Science) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 53: Global: Graph Database (Government and Public Sector) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 54: Global: Graph Database (Government and Public Sector) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 55: Global: Graph Database (Media and Entertainment) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 56: Global: Graph Database (Media and Entertainment) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 57: Global: Graph Database (Manufacturing) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 58: Global: Graph Database (Manufacturing) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 59: Global: Graph Database (Transportation and Logistics) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 60: Global: Graph Database (Transportation and Logistics) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 61: Global: Graph Database (Other Industry Verticals) Market: Sales Value (in Million USD), 2019 & 2024
• Figure 62: Global: Graph Database (Other Industry Verticals) Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 63: North America: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 64: North America: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 65: United States: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 66: United States: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 67: Canada: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 68: Canada: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 69: Asia-Pacific: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 70: Asia-Pacific: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 71: China: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 72: China: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 73: Japan: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 74: Japan: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 75: India: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 76: India: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 77: South Korea: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 78: South Korea: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 79: Australia: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 80: Australia: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 81: Indonesia: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 82: Indonesia: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 83: Others: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 84: Others: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 85: Europe: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 86: Europe: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 87: Germany: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 88: Germany: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 89: France: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 90: France: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 91: United Kingdom: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 92: United Kingdom: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 93: Italy: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 94: Italy: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 95: Spain: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 96: Spain: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 97: Russia: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 98: Russia: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 99: Others: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 100: Others: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 101: Latin America: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 102: Latin America: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 103: Brazil: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 104: Brazil: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 105: Mexico: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 106: Mexico: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 107: Others: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 108: Others: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 109: Middle East and Africa: Graph Database Market: Sales Value (in Million USD), 2019 & 2024
• Figure 110: Middle East and Africa: Graph Database Market: Breakup by Country (in %), 2024
• Figure 111: Middle East and Africa: Graph Database Market Forecast: Sales Value (in Million USD), 2025-2033
• Figure 112: Global: Graph Database Industry: SWOT Analysis
• Figure 113: Global: Graph Database Industry: Value Chain Analysis
• Figure 114: Global: Graph Database Industry: Porter's Five Forces Analysis

List of Tables

• Table 1: Global: Graph Database Market: Key Industry Highlights, 2024 and 2033
• Table 2: Global: Graph Database Market Forecast: Breakup by Component (in Million USD), 2025-2033
• Table 3: Global: Graph Database Market Forecast: Breakup by Type of Database (in Million USD), 2025-2033
• Table 4: Global: Graph Database Market Forecast: Breakup by Analysis Type (in Million USD), 2025-2033
• Table 5: Global: Graph Database Market Forecast: Breakup by Deployment Model (in Million USD), 2025-2033
• Table 6: Global: Graph Database Market Forecast: Breakup by Application (in Million USD), 2025-2033
• Table 7: Global: Graph Database Market Forecast: Breakup by Industry Vertical (in Million USD), 2025-2033
• Table 8: Global: Graph Database Market Forecast: Breakup by Region (in Million USD), 2025-2033
• Table 9: Global: Graph Database Market: Competitive Structure
• Table 10: Global: Graph Database Market: Key Players

The global graph database market size reached USD 2.0 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 8.6 Billion by 2033, exhibiting a growth rate (CAGR) of 17.57% during 2025-2033. The increasing adoption of graph databases in cybersecurity for threat detection and network analysis, growing demand for real-time analytics and AI-driven insights, and expanding application in industries, such as healthcare and finance, for data integration and personalized services, are some of the key factors catalyzing the market growth.

Graph Database Market Analysis:

Major Market Drivers: The rising usage of graph database solutions in different industry verticals, such as retail, information technology (IT), telecommunications, manufacturing, transportation, and banking, financial services and insurance (BFSI), represents one of the key factors propelling the market growth.

Key Market Trends: The growing adoption of artificial intelligence (AI)-based graph database tools across the world is one of the significant key trends driving the growth of the market.

Competitive Landscape: Some of the leading graph database market companies are Amazon Web Services Inc. (Amazon.com Inc.), Datastax Inc., Franz Inc., International Business Machines Corporation, Marklogic Corporation, Microsoft Corporation, Neo4j Inc., Objectivity Inc., Oracle Corporation, Stardog Union, Tibco Software Inc., and Tigergraph Inc., among others.

Geographical Trends: According to the report, North America currently dominates the global market. The expanding use of technology in the region is one of the main reasons promoting the growth of the graph database market. The expansion of graph database players across North America, such as IBM, Microsoft, Neo4j, and Oracle., is anticipated to drive market expansion further.

Challenges and Opportunities: Challenges in the graph database market include data privacy concerns, complexity in migrating from relational databases, and the need for skilled personnel. Opportunities lie in addressing evolving use cases such as fraud detection, personalized recommendation systems, and knowledge graph applications, driving innovation and market expansion.

Graph Database Market Trends:

Rising Volume and Complexity of Data

One of the primary factors driving the growth of the market is the increasing volume of data generated by numerous organizations across the world. With the advent of next-generation technologies and the proliferation of connected devices, businesses are producing vast amounts of data from various sources, including social media, customer interaction, IoT devices, transactions, and cloud computing. For instance, according to Cisco, the IoT generated approximately 507.5 zettabytes of data in 2019. A survey by the Ponemon Institute and the Shared Assessments Program also shared that at least 81% of risk oversight and corporate governance professionals believe data breaches happened by an unsecured IoT device within their company. In response to this, companies are increasingly integrating graph database solutions to drive valuable insights from the data and ensure the security and accuracy of their data by providing data cleansing, validation, and enrichment capabilities. This, in turn, is projected to fuel the graph database market demand in the coming years.

Increasing Product Offerings

Various key players are introducing a variety of graph database solutions catering to different use cases and requirements. For instance, in April 2024, Neo4j partnered with Google Cloud to launch new GraphRAG capabilities for GenAI applications. This launch will speed up generative AI application development and deployment across several crucial stages. The results solve a problem for enterprises that struggle with complexity and hallucinations when building and deploying successful GenAI applications requiring real-time, contextually rich data and accurate, explainable results. Similarly, in December 2023, Amazon Web Services (AWS) launched a new analytics database engine that combines the power of vector search and graph data. The general availability of the new service, named Amazon Neptune Analytics, was unveiled at the re-invest conference in Las Vegas. The new service is available as a pay-as-you-go model with no one-time setup fees or recurring subscriptions. It is now available in some AWS regions, including the US East, the US West, Asia Pacific, and Europe. Such innovations in graph databases are anticipated to propel the graph database market share in the coming years.

Growing Product Application across Various Industries

Graph databases are being adopted across various industries, including finance, healthcare, retail, logistics, and manufacturing, to address specific use cases and business challenges. For instance, in January 2024, the R&D arm of global pharmaceutical company Servier started to utilize graph technologies to cut drug research time and improve the success rate of drug candidates in the clinical phase. The company is using Neo4j's graph called Pegasus, which allows them to better organize and probe both third-party and proprietary data. Similarly, the escalating utilization of graph databases in the financial sector to detect and prevent fraudulent activities is also catalyzing the graph database market's recent price. For instance, graph databases such as Amazon Neptune are increasingly being used to perform queries because they can traverse the data and perform calculations simultaneously. Graphs represent transactions and parties over a multi-connected network and discover patterns and chains of connections. As a result, graph databases are extensively being used in anti-money laundering (AML) applications since they can help find patterns of suspicious transactions.

Global Graph Database Market Segmentation:

Breakup by Component:

• Software
• Services

Software represents the largest market share

Based on the component, the global graph database market can be segmented into software and services. According to the report, software represents the largest market share.

The growth of the segment can be attributed to the increasing adoption of software-as-a-service (SaaS) by numerous companies to manage their complex data. Moreover, graph database market statistics by IMARC indicate that software deployment often involves upfront licensing or subscription fees, which can be more cost-effective in the long run, especially for organizations with ongoing data management needs.

Breakup by Type of Database:

• Relational (SQL)
• Non-Relational (NoSQL)

Relational (SQL) database exhibits a clear dominance in the market

Based on the type of database, the global graph database market can be segmented into relational (SQL) and non-relational (NoSQL). According to the report, relational (SQL) database exhibits a clear dominance in the market.

Integrating relational (SQL) databases with graph databases allows for leveraging the strengths of both models. SQL databases excel in structured data storage and complex queries, while graph databases specialize in managing and querying complex relationships. Combining them enables efficient storage of structured data alongside flexible representation and traversal of relationships, offering a comprehensive solution for diverse data management needs. This integration facilitates seamless data analysis, insights generation, and application development across a wide range of use cases, enhancing overall agility and scalability.

Breakup by Analysis Type:

• Path Analysis
• Connectivity Analysis
• Community Analysis
• Centrality Analysis

Path analysis holds the majority of the total market share

Based on the analysis type, the global graph database market can be segmented into path analysis, connectivity analysis, community analysis, and centrality analysis. According to the graph database market report, path analysis holds the majority of the total market share.

Path analysis in graph databases involves traversing the relationships between nodes to identify patterns or paths of interest. It enables querying and analyzing the sequence of nodes and edges to uncover insights or answer specific questions about the data. Path analysis is crucial for tasks like recommendation systems, fraud detection, and network analysis, offering valuable insights into the structure and behavior of interconnected data. By examining paths within the graph, organizations can derive actionable insights and make informed decisions based on the underlying relationships.

Breakup by Deployment Model:

• On-premises
• Cloud-based

On-premises model accounts for the majority of the total market share

Based on the deployment model, the global graph database market can be segmented into on-premises and cloud-based. According to the report, on-premises model accounts for the majority of the total market share.

On-premises deployment of graph databases involves installing and managing the database software within an organization's own data center or infrastructure. This approach offers greater control over data security, compliance, and performance compared to cloud-based alternatives. On-premises deployment is preferred in industries with strict regulatory requirements or sensitive data concerns, providing a dedicated environment for data management and processing. For instance, various companies operating in the BFSI sector are increasingly deploying graph databases within their own data centers, which is positively impacting the graph database market outlook. Manhattan-based FinTech Current's is increasingly utilizing graph database technology to build new financial services for customers and creating a set of 'hybrid finance' products based on integrated views of individuals and their family connections. Besides this, on-premises deployment of graph databases allows organizations to leverage existing infrastructure investments and tailor the deployment to their specific needs and preferences.

Breakup by Application:

• Fraud Detection and Risk Management
• Master Data Management
• Customer Analytics
• Identity and Access Management
• Recommendation Engine
• Privacy and Risk Compliance
• Others

Based on the application, the global graph database market can be segmented into fraud detection and risk management, master data management, customer analytics, identity and access management, recommendation engine, privacy and risk compliance, and others.

Graph databases are widely used in the banking and financial sector to detect and prevent fraudulent activities. For instance, graph databases such as Amazon Neptune are increasingly being used to perform queries, because they can traverse the data and perform calculations simultaneously. Graphs represent transactions and parties over a multi-connected network and discover patterns and chains of connections. As a result, graph databases are extensively being used in anti-money laundering (AML) applications, since they can help find patterns of suspicious transactions. Besides this, the demand for data compliance and the growing usage of master data management solutions in prominent companies to improve business operations is likely to fuel the graph database market revenue.

Breakup by Industry Vertical:

• BFSI
• Retail and E-Commerce
• IT and Telecom
• Healthcare and Life Science
• Government and Public Sector
• Media and Entertainment
• Manufacturing
• Transportation and Logistics
• Others

IT and telecom industry represents the largest market share

Based on the industry vertical, the global graph database market has been segmented into BFSI, retail and e-commerce, IT and telecom, healthcare and life science, government and public sector, media and entertainment, manufacturing, transportation and logistics, and others. According to the report, the IT and telecom industry represents the largest market share.

In the IT and telecom industry, graph databases are utilized for network topology management, fault analysis, and service provisioning. They enable real-time monitoring of network infrastructure, identifying bottlenecks, and optimizing resource allocation. Graph databases also facilitate customer relationship management by mapping complex interactions between customers, services, and devices, enhancing service personalization and troubleshooting efficiency.

Breakup by Region:

• North America
• United States
• Canada
• Asia-Pacific
• China
• Japan
• India
• South Korea
• Australia
• Indonesia
• Others
• Europe
• Germany
• France
• United Kingdom
• Italy
• Spain
• Russia
• Others
• Latin America
• Brazil
• Mexico
• Others
• Middle East and Africa

North America currently dominates the global market

The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America currently dominates the global market.

The expanding use of technology in the region is one of the main reasons promoting the growth of the graph database market in North America. The expansion of graph database players across the region, such as IBM, Microsoft, Neo4j, Oracle, etc., is anticipated to drive market expansion further. Moreover, the graph database market overview by IMARC indicates that the growth of R&D spending by significant regional economies is helping the development of new technologies in the North America graph database market. For instance, in June 2022, Ataccama, a unified data management and governance solutions provider, secured US$150 Million in a growth capital investment round, money that was used to finance the company's efforts to develop new products and expand its market presence.

Competitive Landscape:

The market research report has provided a comprehensive analysis of the competitive landscape and outlook. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

• Amazon Web Services Inc. (Amazon.com Inc.)
• Datastax Inc.
• Franz Inc.
• International Business Machines Corporation
• Marklogic Corporation
• Microsoft Corporation
• Neo4j Inc.
• Objectivity Inc.
• Oracle Corporation
• Stardog Union
• Tibco Software Inc.
• Tigergraph Inc.

Key Questions Answered in This Report

• 1.What was the size of the global graph database market in 2024?
• 2.What is the expected growth rate of the global graph database market during 2025-2033?
• 3.What are the key factors driving the global graph database market?
• 4.What has been the impact of COVID-19 on the global graph database market?
• 5.What is the breakup of the global graph database market based on the component?
• 6.What is the breakup of the global graph database market based on the type of database?
• 7.What is the breakup of the global graph database market based on the analysis type?
• 8.What is the breakup of the global graph database market based on the deployment model?
• 9.What is the breakup of the global graph database market based on the industry vertical?
• 10.What are the key regions in the global graph database market?
• 11.Who are the key players/companies in the global graph database market?

Table of Contents

1 Preface

2 Scope and Methodology

• 2.1 Objectives of the Study
• 2.2 Stakeholders
• 2.3 Data Sources
  • 2.3.1 Primary Sources
  • 2.3.2 Secondary Sources
• 2.4 Market Estimation
  • 2.4.1 Bottom-Up Approach
  • 2.4.2 Top-Down Approach
• 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

• 4.1 Overview
• 4.2 Key Industry Trends

5 Global Graph Database Market

• 5.1 Market Overview
• 5.2 Market Performance
• 5.3 Impact of COVID-19
• 5.4 Market Forecast

6 Market Breakup by Component

• 6.1 Software
  • 6.1.1 Market Trends
  • 6.1.2 Market Forecast
• 6.2 Services
  • 6.2.1 Market Trends
  • 6.2.2 Market Forecast

7 Market Breakup by Type of Database

• 7.1 Relational (SQL)
  • 7.1.1 Market Trends
  • 7.1.2 Market Forecast
• 7.2 Non-Relational (NoSQL)
  • 7.2.1 Market Trends
  • 7.2.2 Market Forecast

8 Market Breakup by Analysis Type

• 8.1 Path Analysis
  • 8.1.1 Market Trends
  • 8.1.2 Market Forecast
• 8.2 Connectivity Analysis
  • 8.2.1 Market Trends
  • 8.2.2 Market Forecast
• 8.3 Community Analysis
  • 8.3.1 Market Trends
  • 8.3.2 Market Forecast
• 8.4 Centrality Analysis
  • 8.4.1 Market Trends
  • 8.4.2 Market Forecast

9 Market Breakup by Deployment Model

• 9.1 On-premises
  • 9.1.1 Market Trends
  • 9.1.2 Market Forecast
• 9.2 Cloud-based
  • 9.2.1 Market Trends
  • 9.2.2 Market Forecast

10 Market Breakup by Application

• 10.1 Fraud Detection and Risk Management
  • 10.1.1 Market Trends
  • 10.1.2 Market Forecast
• 10.2 Master Data Management
  • 10.2.1 Market Trends
  • 10.2.2 Market Forecast
• 10.3 Customer Analytics
  • 10.3.1 Market Trends
  • 10.3.2 Market Forecast
• 10.4 Identity and Access Management
  • 10.4.1 Market Trends
  • 10.4.2 Market Forecast
• 10.5 Recommendation Engine
  • 10.5.1 Market Trends
  • 10.5.2 Market Forecast
• 10.6 Privacy and Risk Compliance
  • 10.6.1 Market Trends
  • 10.6.2 Market Forecast
• 10.7 Others
  • 10.7.1 Market Trends
  • 10.7.2 Market Forecast

11 Market Breakup by Industry Vertical

• 11.1 BFSI
  • 11.1.1 Market Trends
  • 11.1.2 Market Forecast
• 11.2 Retail and E-Commerce
  • 11.2.1 Market Trends
  • 11.2.2 Market Forecast
• 11.3 IT and Telecom
  • 11.3.1 Market Trends
  • 11.3.2 Market Forecast
• 11.4 Healthcare and Life Science
  • 11.4.1 Market Trends
  • 11.4.2 Market Forecast
• 11.5 Government and Public Sector
  • 11.5.1 Market Trends
  • 11.5.2 Market Forecast
• 11.6 Media and Entertainment
  • 11.6.1 Market Trends
  • 11.6.2 Market Forecast
• 11.7 Manufacturing
  • 11.7.1 Market Trends
  • 11.7.2 Market Forecast
• 11.8 Transportation and Logistics
  • 11.8.1 Market Trends
  • 11.8.2 Market Forecast
• 11.9 Others
  • 11.9.1 Market Trends
  • 11.9.2 Market Forecast

12 Market Breakup by Region

• 12.1 North America
  • 12.1.1 United States
    • 12.1.1.1 Market Trends
    • 12.1.1.2 Market Forecast
  • 12.1.2 Canada
    • 12.1.2.1 Market Trends
    • 12.1.2.2 Market Forecast
• 12.2 Asia-Pacific
  • 12.2.1 China
    • 12.2.1.1 Market Trends
    • 12.2.1.2 Market Forecast
  • 12.2.2 Japan
    • 12.2.2.1 Market Trends
    • 12.2.2.2 Market Forecast
  • 12.2.3 India
    • 12.2.3.1 Market Trends
    • 12.2.3.2 Market Forecast
  • 12.2.4 South Korea
    • 12.2.4.1 Market Trends
    • 12.2.4.2 Market Forecast
  • 12.2.5 Australia
    • 12.2.5.1 Market Trends
    • 12.2.5.2 Market Forecast
  • 12.2.6 Indonesia
    • 12.2.6.1 Market Trends
    • 12.2.6.2 Market Forecast
  • 12.2.7 Others
    • 12.2.7.1 Market Trends
    • 12.2.7.2 Market Forecast
• 12.3 Europe
  • 12.3.1 Germany
    • 12.3.1.1 Market Trends
    • 12.3.1.2 Market Forecast
  • 12.3.2 France
    • 12.3.2.1 Market Trends
    • 12.3.2.2 Market Forecast
  • 12.3.3 United Kingdom
    • 12.3.3.1 Market Trends
    • 12.3.3.2 Market Forecast
  • 12.3.4 Italy
    • 12.3.4.1 Market Trends
    • 12.3.4.2 Market Forecast
  • 12.3.5 Spain
    • 12.3.5.1 Market Trends
    • 12.3.5.2 Market Forecast
  • 12.3.6 Russia
    • 12.3.6.1 Market Trends
    • 12.3.6.2 Market Forecast
  • 12.3.7 Others
    • 12.3.7.1 Market Trends
    • 12.3.7.2 Market Forecast
• 12.4 Latin America
  • 12.4.1 Brazil
    • 12.4.1.1 Market Trends
    • 12.4.1.2 Market Forecast
  • 12.4.2 Mexico
    • 12.4.2.1 Market Trends
    • 12.4.2.2 Market Forecast
  • 12.4.3 Others
    • 12.4.3.1 Market Trends
    • 12.4.3.2 Market Forecast
• 12.5 Middle East and Africa
  • 12.5.1 Market Trends
  • 12.5.2 Market Breakup by Country
  • 12.5.3 Market Forecast

13 SWOT Analysis

• 13.1 Overview
• 13.2 Strengths
• 13.3 Weaknesses
• 13.4 Opportunities
• 13.5 Threats

14 Value Chain Analysis

15 Porters Five Forces Analysis

• 15.1 Overview
• 15.2 Bargaining Power of Buyers
• 15.3 Bargaining Power of Suppliers
• 15.4 Degree of Competition
• 15.5 Threat of New Entrants
• 15.6 Threat of Substitutes

16 Price Analysis

17 Competitive Landscape

• 17.1 Market Structure
• 17.2 Key Players
• 17.3 Profiles of Key Players
  • 17.3.1 Amazon Web Services Inc. (Amazon.com Inc.)
    • 17.3.1.1 Company Overview
    • 17.3.1.2 Product Portfolio
    • 17.3.1.3 SWOT Analysis
  • 17.3.2 Datastax Inc.
    • 17.3.2.1 Company Overview
    • 17.3.2.2 Product Portfolio
  • 17.3.3 Franz Inc.
    • 17.3.3.1 Company Overview
    • 17.3.3.2 Product Portfolio
  • 17.3.4 International Business Machines Corporation
    • 17.3.4.1 Company Overview
    • 17.3.4.2 Product Portfolio
    • 17.3.4.3 Financials
    • 17.3.4.4 SWOT Analysis
  • 17.3.5 Marklogic Corporation
    • 17.3.5.1 Company Overview
    • 17.3.5.2 Product Portfolio
  • 17.3.6 Microsoft Corporation
    • 17.3.6.1 Company Overview
    • 17.3.6.2 Product Portfolio
    • 17.3.6.3 Financials
    • 17.3.6.4 SWOT Analysis
  • 17.3.7 Neo4j Inc.
    • 17.3.7.1 Company Overview
    • 17.3.7.2 Product Portfolio
  • 17.3.8 Objectivity Inc.
    • 17.3.8.1 Company Overview
    • 17.3.8.2 Product Portfolio
  • 17.3.9 Oracle Corporation
    • 17.3.9.1 Company Overview
    • 17.3.9.2 Product Portfolio
    • 17.3.9.3 Financials
    • 17.3.9.4 SWOT Analysis
  • 17.3.10 Stardog Union
    • 17.3.10.1 Company Overview
    • 17.3.10.2 Product Portfolio
  • 17.3.11 Tibco Software Inc.
    • 17.3.11.1 Company Overview
    • 17.3.11.2 Product Portfolio
    • 17.3.11.3 SWOT Analysis
  • 17.3.12 Tigergraph Inc.
    • 17.3.12.1 Company Overview
    • 17.3.12.2 Product Portfolio