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圖資料庫市場規模、佔有率和成長分析（按交付類型、模型類型、分析類型、最終用途和地區分類）－2026-2033年產業預測

市場調查報告書

商品編碼

1907715

圖資料庫市場規模、佔有率和成長分析（按交付類型、模型類型、分析類型、最終用途和地區分類）－2026-2033年產業預測

Graph Database Market Size, Share, and Growth Analysis, By Offering, By Model Type, By Analysis Type, By End Use, By Region - Industry Forecast 2026-2033

出版日期: 2025年12月19日 | 出版商:

SkyQuest | 英文 189 Pages | 商品交期: 3-5個工作天內

價格

簡介目錄

預計到 2024 年，圖資料庫市場規模將達到 46.6 億美元，到 2025 年將達到 56.8 億美元，到 2033 年將達到 276.8 億美元，在預測期（2026-2033 年）內，複合年成長率為 21.9%。

受互聯資料分析需求成長和互聯系統資料量激增的推動，圖資料庫的需求正在不斷上升。機器學習和人工智慧等先進技術的融合為圖資料庫提供者創造了新的機會。此外，巨量資料應用和物聯網設備的成長預計將進一步推動市場發展。商業智慧工具的廣泛應用以及向數據驅動決策的轉變也進一步促進了圖資料庫的普及。然而，缺乏標準化、查詢語言學習難度高、資料安全問題以及與舊有系統整合困難等挑戰，都是可能阻礙圖資料庫市場成長的重要阻礙因素。

圖資料庫市場促進因素

企業對來自各種互聯系統的複雜數據的依賴日益增強，以及對高階數據分析能力的需求不斷成長，預計將推動圖資料庫市場的成長。圖資料庫尤其擅長視覺化和查詢資料點之間的關係，從而能夠即時提取關鍵洞察。這項能力使其成為互聯資料分析應用的必備工具，幫助企業做出明智的決策並獲得競爭優勢。隨著企業不斷應對複雜的數據環境，圖資料庫的採用率預計將顯著提高，進一步推動市場擴張。

圖資料庫市場限制因素

圖資料庫市場的發展面臨一項重大挑戰：查詢這些資料庫的複雜性，通常需要使用諸如 Neo4j 的 Cypher 等專用語言。這種複雜性造成了顯著的學習曲線，需要資料庫管理員接受額外的訓練。因此，精通這些語言的合格人才短缺，阻礙了圖資料庫的廣泛應用。這種技能人才的匱乏不僅減緩了圖資料庫的普及速度，也增加了組織內部圖資料庫整合的難度，從而限制了市場的潛在成長。

圖資料庫市場趨勢

受即時分析需求不斷成長的推動，圖資料庫市場正經歷顯著成長。其高效管理和分析流資料的固有能力使其成為各領域即時資訊處理的關鍵工具。預計這一趨勢將拓展圖資料庫解決方案的應用範圍，尤其是在社群媒體分析、建議引擎和物聯網 (IoT) 應用等領域。隨著企業尋求從複雜數據關係中提取洞察的先進方法，圖資料庫有望成為創新策略的關鍵推動因素，從而長期推動市場發展和普及。

北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 西班牙
- 法國
- 義大利
- 其他歐洲地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 亞太其他地區
拉丁美洲
- 巴西
- 其他拉丁美洲地區
中東和非洲
- 海灣合作理事會國家
- 南非
- 其他中東和非洲地區

競爭資訊

前五大公司對比
主要企業的市場定位（2025 年）
主要市場參與者所採取的策略
近期市場趨勢
公司市佔率分析（2025 年）
主要企業公司簡介
- 公司詳情
- 產品系列分析
- 依業務板塊進行公司股票分析
- 2021-2023年營收年比比較

主要企業簡介

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

結論與建議

簡介目錄

Product Code: SQMIG45C2084

Graph Database Market size was valued at USD 4.66 Billion in 2024 and is poised to grow from USD 5.68 Billion in 2025 to USD 27.68 Billion by 2033, growing at a CAGR of 21.9% during the forecast period (2026-2033).

The demand for graph databases is on the rise, fueled by the increasing need for connected data analysis and the proliferation of data from interconnected systems. The integration of advanced technologies like machine learning and artificial intelligence presents new opportunities for graph database providers. Additionally, the growth of big data applications and IoT devices is set to enhance market development. The widespread adoption of business intelligence tools and a shift towards data-driven decision-making are further boosting graph database usage. However, challenges such as lack of standardization, steep learning curves for query languages, data security issues, and difficulties integrating with legacy systems pose significant constraints that may impact the graph database market's growth trajectory.

Top-down and bottom-up approaches were used to estimate and validate the size of the 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.

Graph Database Market Segments 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 & and Africa.

Driver of the Graph Database Market

The growing reliance on intricate data from various interrelated systems by organizations, along with the demand for enhanced data analysis capabilities, is set to propel the growth of the graph database market. Graph databases are particularly adept at visualizing and querying relationships among data points, which allows for the extraction of significant insights in real-time. This ability makes them essential tools for connected data analysis applications, enabling businesses to make informed decisions and gain a competitive edge. As organizations continue to navigate complex data environments, the adoption of graph databases is expected to increase significantly, further fueling their market expansion.

Restraints in the Graph Database Market

The growth of the graph database market faces a significant challenge due to the complexity associated with querying these databases, which typically requires the use of specialized languages like Cypher for Neo4j. This complexity results in a considerable learning curve, necessitating additional training for database administrators. As a consequence, there is a scarcity of qualified professionals proficient in these languages, which hampers the widespread adoption of graph databases. This shortage of skilled talent not only slows down implementation efforts but also complicates the overall integration of graph databases within organizations, thereby limiting their potential market growth.

Market Trends of the Graph Database Market

The Graph Database market is experiencing significant growth, driven by an increasing demand for real-time analytics. Their inherent capability to manage and analyze streaming data efficiently positions them as essential tools for processing live information across various sectors. This trend is poised to broaden the application landscape for graph database solutions, particularly in areas like social media analysis, recommendation engines, and Internet of Things (IoT) applications. As organizations seek more sophisticated methods for uncovering insights from complex data relationships, graph databases are anticipated to play a pivotal role in enabling innovative strategies, thereby propelling market development and adoption in the long term.

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, 2025
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 (2026-2033)

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 (2026-2033)

Market Overview
RDF
Labelled Propert Graph
Hypergraphs

Global Graph Database Market Size by Analysis Type & CAGR (2026-2033)

Market Overview
Community Analysis
Connectivity Analysis
Centrality Analysis
Path Analysis

Global Graph Database Market Size by End Use & CAGR (2026-2033)

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 (2026-2033)

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, 2025
Strategies Adopted by Key Market Players
Recent Developments in the Market
Company Market Share Analysis, 2025
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