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市場調査レポート
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1614974

グラフデータベースの市場規模、シェア、成長分析、提供別、モデルタイプ別、分析タイプ別、最終用途別、地域別 - 産業予測、2024年~2031年

Graph Database Market Size, Share, Growth Analysis, By Offering, By Model Type, By Analysis Type, By End Use, By Region - Industry Forecast 2024-2031


出版日
発行
SkyQuest
ページ情報
英文 189 Pages
納期
3~5営業日
価格
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=143.57円
グラフデータベースの市場規模、シェア、成長分析、提供別、モデルタイプ別、分析タイプ別、最終用途別、地域別 - 産業予測、2024年~2031年
出版日: 2024年12月13日
発行: SkyQuest
ページ情報: 英文 189 Pages
納期: 3~5営業日
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  • 概要
  • 目次
概要

グラフデータベースの世界市場規模は、2022年に31億3,000万米ドルと評価され、2023年の38億米ドルから2031年には152億7,000万米ドルに成長し、予測期間(2024年~2031年)のCAGRは21.9%で成長する見通しです。

グラフデータベースの将来は、接続されたデータ分析に対する需要の高まりと、相互接続されたシステムからのデータの急増に後押しされ、隆盛を極めると思われます。機械学習や人工知能のような先進技術は、グラフデータベースプロバイダーに新たなビジネスチャンスをもたらす態勢を整えています。さらに、ビッグデータアプリケーションやIoTデバイスへの依存の高まりは、市場の成長を大きく促進すると予想されます。ビジネスインテリジェンスとデータ主導の意思決定が世界の組織で台頭しており、グラフデータベースの採用がさらに促進されます。さらに、サイバーセキュリティへの関心の高まりも需要を高めるとみられます。しかし、標準化の欠如、クエリ言語の複雑さ、データセキュリティの懸念、レガシーシステムとの統合の問題などの課題が、この期間の成長を妨げる可能性があります。

目次

イントロダクション

  • 調査の目的
  • 調査範囲
  • 定義

調査手法

  • 情報調達
  • 二次データと一次データの方法
  • 市場規模予測
  • 市場の前提条件と制限

エグゼクティブサマリー

  • 世界市場の見通し
  • 供給と需要の動向分析
  • セグメント別の機会分析

市場力学と見通し

  • 市場概要
  • 市場規模
  • 市場力学
    • 促進要因と機会
    • 抑制要因と課題
  • ポーター分析と影響
    • 競争企業間の敵対関係
    • 代替品の脅威
    • 買い手の交渉力
    • 新規参入業者の脅威
    • 供給企業の交渉力

主な市場の考察

  • 主要成功要因
  • 競合の程度
  • 主な投資機会
  • 市場エコシステム
  • 市場の魅力指数(2023年)
  • PESTEL分析
  • マクロ経済指標
  • バリューチェーン分析
  • 価格分析
  • 技術の進歩
  • 規制情勢
  • ケーススタディ
  • 顧客と購買基準の分析

グラフデータベースの市場規模:提供別 & CAGR(2024年~2031年)

  • 市場概要
  • ソリューション
    • ソリューションタイプ
    • グラフ拡張
    • グラフ処理エンジン
    • ネイティブグラフデータベース
    • 展開モード
    • クラウド
    • オンプレミス
  • サービス
    • プロフェッショナルサービス
    • マネージドサービス

グラフデータベースの市場規模:モデルタイプ別 & CAGR(2024年~2031年)

  • 市場概要
  • RDFS
  • ラベル付きプロパティグラフ
  • ハイパーグラフ

グラフデータベースの市場規模:分析タイプ別 & CAGR(2024年~2031年)

  • 市場概要
  • コミュニティ分析
  • 接続性分析
  • 中心性分析
  • パス分析

グラフデータベースの市場規模:最終用途別 & CAGR(2024年~2031年)

  • 市場概要
  • BFSI
  • 小売業と電子商取引
  • 通信・IT
  • ヘルスケア医薬品ライフサイエンス
  • 政府および公共部門
  • 製造業と自動車
  • メディアとエンターテイメント
  • エネルギー・公益事業
  • 旅行・ホスピタリティ
  • 運輸・物流
  • その他

グラフデータベースの市場規模 & CAGR(2024年~2031年)

  • 北米
    • 米国
    • カナダ
  • 欧州
    • 英国
    • ドイツ
    • スペイン
    • フランス
    • イタリア
    • その他欧州
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋
  • ラテンアメリカ
    • ブラジル
    • その他ラテンアメリカ
  • 中東・アフリカ
    • GCC諸国
    • 南アフリカ
    • その他中東・アフリカ

競合情報

  • 上位5社の比較
  • 主要企業の市場ポジショニング(2023年)
  • 主な市場企業が採用した戦略
  • 市場の最近の動向
  • 企業の市場シェア分析(2023年)
  • 主要企業の企業プロファイル
    • 会社概要
    • 製品ポートフォリオ分析
    • セグメント別シェア分析
    • 収益の前年比比較(2021年~2023年)

主要企業プロファイル

  • Neo4j
  • DataStax
  • TigerGraph
  • Memgraph
  • Stardog
  • ArangoDB
  • TerminusDB
  • Dgraph Labs
  • Blazegraph
  • Graphistry
  • Grakn.ai(Vaticle)
  • RedisGraph
  • AnzoGraph DB(Cambridge Semantics)
  • OrientDB
  • AllegroGraph
  • CrateDB
  • FaunaDB
  • GraphBase
  • Linkurious
  • Amazon Neptune

結論と推奨事項

目次
Product Code: SQMIG45C2084

Global Graph Database Market size was valued at USD 3.13 billion in 2022 and is poised to grow from USD 3.8 billion in 2023 to USD 15.27 billion by 2031, growing at a CAGR of 21.9% in the forecast period (2024-2031).

The future of graph databases is set to thrive, driven by increasing demand for connected data analysis and the proliferation of data from interconnected systems. Advanced technologies like machine learning and artificial intelligence are poised to create new business opportunities for graph database providers. Additionally, the growing reliance on big data applications and IoT devices is expected to significantly enhance market growth. The rise of business intelligence and data-driven decision-making among organizations globally will further fuel the adoption of graph databases. Moreover, heightened focus on cybersecurity is likely to increase demand. However, challenges such as lack of standardization, the complexity of query languages, data security concerns, and integration issues with legacy systems may hinder growth during this period.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Graph Database market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Graph Database Market Segmental Analysis

Global Graph Database Market is segmented by Offering, Model Type, Analysis Type, End Use and region. Based on Offering, the market is segmented into Solutions (Solution Type, Deployment mode), Services (Professional Services, Managed Services). Based on Model Type, the market is segmented into RDF, Labelled Propert Graph, Hypergraph. Based on Analysis Type, the market is segmented into Community Analysis, Connectivity Analysis, Centrality Analysis, Path Analysis. Based on End Use, the market is segmented into BFSI, Retail & eCommerce, Telecom & IT, Healthcare, Pharmaceuticals, & Life Sciences, Government & Public Sector, Manufacturing & Automotive, Media & Entertainment, Energy & Utilities, Travel & Hospitality, Transportation & Logistics, Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Graph Database Market

The Global Graph Database market is anticipated to flourish due to the rising demand for connected data analysis. Organizations are increasingly utilizing complex data derived from various interconnected systems, recognizing the necessity for enhanced data analysis capabilities. Graph databases are uniquely positioned to meet this demand, as they excel in visualizing and querying relationships among data points. This ability allows organizations to gain valuable real-time insights crucial for effective decision-making, solidifying the importance of graph databases in the realm of connected data analytics. Consequently, this growing need for sophisticated data analysis tools is a significant driver of market growth moving forward.

Restraints in the Global Graph Database Market

One significant restraint in the Global Graph Database market is the steep learning curve associated with specialized query languages like Cypher for Neo4j. Mastering these complex languages requires considerable time and effort, leading to a need for extensive training for database administrators. This challenge results in a limited pool of skilled professionals proficient in these languages, subsequently hindering the widespread adoption of graph databases across various industries. As organizations may be reluctant to invest in training due to these complexities, the overall growth and integration of graph database technologies face notable constraints in the current market landscape.

Market Trends of the Global Graph Database Market

The Global Graph Database market is experiencing a significant trend towards real-time analytics, driven by the increasing demand for immediate data processing capabilities. The inherent capacity of graph databases to efficiently manage and analyze live data streams positions them as essential tools for various applications, including social media analysis, recommendation systems, and IoT implementations. As organizations seek to leverage real-time insights for enhanced decision-making and user engagement, the adoption of graph databases is poised to accelerate, creating extensive opportunities for growth and innovation within the market. This trend not only broadens the functional scope for graph database providers but also solidifies their relevance in a data-driven landscape.

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Driver & Opportunities
    • Restraints & Challenges
  • Porters Analysis & Impact
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Market Attractiveness Index, 2023
  • PESTEL Analysis
  • Macro-Economic Indicators
  • Value Chain Analysis
  • Pricing Analysis
  • Technological Advancement
  • Regulatory Landscape
  • Case Studies
  • Customer & Buying Criteria Analysis

Global Graph Database Market Size by Offering & CAGR (2024-2031)

  • Market Overview
  • Solution
    • Solution Type
    • Graph Extension
    • Graph Processing Engine
    • Native Graph Database
    • Deployment mode
    • Cloud
    • On-Premises
  • Services
    • Professional Services
    • Managed Services

Global Graph Database Market Size by Model Type & CAGR (2024-2031)

  • Market Overview
  • RDF
  • Labelled Propert Graph
  • Hypergraphs

Global Graph Database Market Size by Analysis Type & CAGR (2024-2031)

  • Market Overview
  • Community Analysis
  • Connectivity Analysis
  • Centrality Analysis
  • Path Analysis

Global Graph Database Market Size by End Use & CAGR (2024-2031)

  • Market Overview
  • BFSI
  • Retail & eCommerce
  • Telecom & IT
  • Healthcare, Pharmaceuticals, & Life Sciences
  • Government & Public Sector
  • Manufacturing & Automotive
  • Media & Entertainment
  • Energy & Utilities
  • Travel & Hospitality
  • Transportation & Logistics
  • Others

Global Graph Database Market Size & CAGR (2024-2031)

  • North America (Offering, Model Type, Analysis Type, End Use)
    • US
    • Canada
  • Europe (Offering, Model Type, Analysis Type, End Use)
    • UK
    • Germany
    • Spain
    • France
    • Italy
    • Rest of Europe
  • Asia-Pacific (Offering, Model Type, Analysis Type, End Use)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia Pacific
  • Latin America (Offering, Model Type, Analysis Type, End Use)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Offering, Model Type, Analysis Type, End Use)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2023
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2023
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2021-2023)

Key Company Profiles

  • Neo4j
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • DataStax
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • TigerGraph
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Memgraph
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Stardog
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • ArangoDB
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • TerminusDB
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Dgraph Labs
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Blazegraph
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Graphistry
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Grakn.ai (Vaticle)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • RedisGraph
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • AnzoGraph DB (Cambridge Semantics)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • OrientDB
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • AllegroGraph
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • CrateDB
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • FaunaDB
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • GraphBase
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Linkurious
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Amazon Neptune
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendation