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图资料库市场规模、份额和成长分析（按交付类型、模型类型、分析类型、最终用途和地区划分）－2026-2033年产业预测

市场调查报告书

商品编码

1907715

图资料库市场规模、份额和成长分析（按交付类型、模型类型、分析类型、最终用途和地区划分）－2026-2033年产业预测

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个工作天内

价格

简介目录

预计到 2024 年，图资料库市场规模将达到 46.6 亿美元，到 2025 年将达到 56.8 亿美元，到 2033 年将达到 276.8 亿美元，在预测期（2026-2033 年）内，复合年增长率为 21.9%。

受互联资料分析需求成长和互联繫统资料量激增的推动，图资料库的需求正在不断上升。机器学习和人工智慧等先进技术的融合为图资料库提供者创造了新的机会。此外，巨量资料应用和物联网设备的成长预计将进一步推动市场发展。商业智慧工具的广泛应用以及向数据驱动决策的转变也进一步促进了图资料库的普及。然而，缺乏标准化、查询语言学习难度高、资料安全问题以及与旧有系统整合困难等挑战，都是可能阻碍图资料库市场成长的重要阻碍因素。

图资料库市场驱动因素

企业对来自各种互联繫统的复杂数据的依赖日益增强，以及对高阶数据分析能力的需求不断增长，预计将推动图资料库市场的成长。图资料库尤其擅长视觉化和查询资料点之间的关係，从而能够即时提取关键洞察。这项能力使其成为互联资料分析应用的必备工具，帮助企业做出明智的决策并获得竞争优势。随着企业不断应对复杂的数据环境，图资料库的采用率预计将显着提高，进一步推动市场扩张。

图资料库市场限制因素

图资料库市场的发展面临一项重大挑战：查询这些资料库的复杂性，通常需要使用诸如 Neo4j 的 Cypher 等专用语言。这种复杂性造成了显着的学习曲线，需要资料库管理员接受额外的训练。因此，精通这些语言的合格人才短缺，阻碍了图资料库的广泛应用。这种技能人才的匮乏不仅减缓了图资料库的普及速度，也增加了组织内部图资料库整合的难度，从而限制了市场的潜在成长。

图资料库市场趋势

受即时分析需求不断增长的推动，图资料库市场正经历显着增长。其高效管理和分析流资料的固有能力使其成为各领域即时资讯处理的关键工具。预计这一趋势将拓展图资料库解决方案的应用范围，尤其是在社群媒体分析、建议引擎和物联网 (IoT) 应用等领域。随着企业寻求从复杂数据关係中提取洞察的先进方法，图资料库有望成为创新策略的关键推动因素，从而长期推动市场发展和普及。

北美洲
- 美国
- 加拿大
欧洲
- 英国
- 德国
- 西班牙
- 法国
- 义大利
- 其他欧洲地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 亚太其他地区
拉丁美洲
- 巴西
- 其他拉丁美洲地区
中东和非洲
- 海湾合作委员会国家
- 南非
- 其他中东和非洲地区

竞争资讯

前五大公司对比
主要企业的市场定位（2025 年）
主要市场参与者所采取的策略
近期市场趋势
公司市占率分析（2025 年）
主要企业公司简介
- 公司详情
- 产品系列分析
- 依业务板块进行公司股票分析
- 2021-2023年营收年比比较

主要企业简介

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

结论与建议

简介目录

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