封面
市场调查报告书
商品编码
1840485

2025年全球图资料库市场报告

Graph Database Global Market Report 2025

出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

价格
简介目录

近年来,图资料库市场呈指数级成长,从2024年的32.3亿美元成长到2025年的40亿美元,复合年增长率达23.6%。这一增长可归因于数据关係日益复杂化、社交媒体和网路分析、对即时数据处理的需求、数据分析技术的进步、政府和情报部门的采用以及医疗保健数据管理。

预计未来几年图资料库市场规模将呈指数级增长,到2029年将达到94亿美元,复合年增长率(CAGR)为23.8%。预测期内的成长可归因于数位转型倡议、供应链和物流优化、基于图的搜寻引擎、资料隐私和合规性以及汽车行业应用的日益普及。预测期内的关键趋势包括图查询语言的进步、与机器学习和人工智慧的整合、诈欺检测和网路安全领域的应用、云端基础的图资料库服务以及图资料库在生命科学领域的应用。

图资料库是专为建构和管理图而设计的客製化平台。这些系统将特定的资料节点相互连接,并以图的形式建立关係,从而方便使用者查询,并使使用者能够更真实地理解事实资讯。

图资料库主要有两种形式:RDF 和标记属性图 (LPG)。标记属性图是一种特殊的图资料库,由节点和关係组成,通常被称为 LPG 型资料库。它们的主要组成部分是软体和服务,可部署在云端基础和本地环境中。这些资料库广泛应用于消费者分析、深度学习、合规性、建议引擎、识别及存取管理、诈欺侦测、供应链管理等众多领域。它们被应用于银行、金融服务和保险 (BFSI)、资料库、电子商务、IT 和通讯以及运输和物流等行业。

美国在2025年春季突然提高关税及其引发的贸易摩擦,对资讯科技产业,特别是硬体製造、资料基础设施和软体部署领域,造成了显着影响。进口半导体、电路基板和网路设备的关税上涨,推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品零件的公司,面临更长的前置作业时间和价格压力。同时,对专用软体征收的关税以及主要国际市场的报復性措施,扰乱了全球IT供应链,并降低了海外对美国製造技术的需求。为了应对这些挑战,该产业正在加大对国内晶片生产的投资,扩大供应商网络,并利用人工智慧驱动的自动化技术来增强韧性,更有效地控製成本。

这份图资料库市场研究报告是商业研究公司最新报告系列的一部分,提供图资料库市场统计数据,例如全球市场规模、区域份额、图资料库市场份额的竞争对手、详细的图资料库市场细分、市场趋势以及图资料库行业的商机。这份图资料库市场研究报告对该行业的现状和未来发展趋势进行了详细分析,为您提供所需的一切观点。

未来五年23.8%的成长率预测较我们先前对该市场的预测略微下调了0.4%。这一下调主要归因于美国与其他国家之间的关税影响。关税的征收可能会透过提高高效能伺服器的进口成本间接阻碍美国市场的发展,而高效能伺服器对于图资料库操作,尤其是涉及即时分析的操作至关重要。此外,由于相互关税措施以及贸易紧张局势和限制加剧对全球经济和贸易造成的负面影响,这种影响也将更加广泛。

预计人工智慧 (AI) 的日益普及将推动图资料库市场的发展。人工智慧是指在机器中模拟人类智能,透过程式设计使机器执行通常需要认知能力的任务,例如学习、推理、问题解决、感知和决策。人工智慧的日益普及归功于其能够简化流程、提高生产力、改善数据可用性、提供灵活性和整合性,并支援创新商业实践。图资料库透过有效管理和分析资料点之间的复杂关係来促进人工智慧的应用,从而改善模式识别、推荐和决策。例如,总部位于美国的国际商业机器公司 (IBM) 在 2022 年 5 月报告称,2022 年全球 35% 的公司将使用人工智慧,比 2021 年增长 4%。此外,2022 年采用人工智慧的组织数量较去年同期成长 13%。因此,人工智慧的广泛应用正在推动图资料库市场的成长。

对个人化行销策略日益增长的需求预计将推动图资料库市场的扩张。个人化行销是指基于数据分析和数位技术,向客户提供量身定制的讯息和产品提案。图资料库在个人化行销方面表现出色,因为它们能够有效地储存和处理大量互联数据,例如社群媒体互动、购买历史和客户画像。根据 Yieldify 2021 年 11 月发布的报告,超过 74% 的受访企业已采用网站个人化方案。预计到 2022 年底,其中约 93% 的企业将采用动态细分等高阶功能。对个人化行销方案需求的激增是推动图资料库市场成长的关键因素。

图资料库市场的主要企业正致力于建立完全託管的图资料库,以简化部署、提高可扩展性、最大限度地减少维护工作,并透过与云端平台的无缝整合来提升效能和效率。完全託管的图资料库专为管理社交网路、诈欺侦测和知识图谱等应用中固有的复杂关係而设计。它们采用先进的演算法来分析和识别潜在的有害域,从而保护用户免受网路钓鱼等网路威胁。例如,总部位于美国的亚马逊网路服务公司(AWS)于2024年8月发布了Mithra,这是一款支援即时查询功能的图表资料库。这使得安全团队能够透过快速分析与恶意活动相关的关係和模式,迅速回应新出现的威胁。作为AWS生态系统的一部分,Mithra与其他亚马逊服务无缝集成,增强了这些服务的功能,并确保平台之间流畅的资料流。

图资料库包含实体透过提供储存、查询和修改网路图等服务所获得的收入。市场价值包含服务供应商销售的或包含在其服务产品中的相关商品的价值。它仅包含实体之间交易或出售给最终消费者的商品和服务。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场:宏观经济情景,包括利率、通货膨胀、地缘政治、贸易战和关税,以及新冠疫情及其復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球图资料库:PESTEL 分析(政治、社会、技术、环境、法律因素、驱动因素与限制因素)
  • 终端用户产业分析
  • 全球图资料库市场:成长率分析
  • 全球图资料库市场表现:规模与成长,2019-2024年
  • 全球图资料库市场预测:规模与成长,2024-2029年,2034年预测
  • 全球图资料库:潜在市场规模 (TAM)

第六章 市场细分

  • 全球图资料库市场:按类型、效能和预测划分,2019-2024 年、2024-2029 年预测、2034 年预测
  • RDF
  • 带标籤的属性图
  • 全球图资料库市场:按组件划分,实际值和预测值,2019-2024 年、2024-2029 年预测值、2034 年预测值
  • 软体
  • 服务
  • 全球图资料库市场:依部署模式、效能和预测划分,2019-2024 年、2024-2029 年预测、2034 年预测
  • 本地部署
  • 全球图资料库市场:按应用类型、效能和预测划分,2019-2024 年、2024-2029 年预测、2034 年预测
  • 消费者分析
  • 深度学习
  • 监理合规
  • 建议引擎
  • 身分和存取管理
  • 诈欺侦测
  • 供应链管理
  • 其他用途
  • 全球图资料库市场:依最终用途划分,实际值和预测值,2019-2024 年、2024-2029 年预测值、2034 年预测值
  • BFSI
  • 零售与电子商务
  • 资讯科技/通讯
  • 运输/物流
  • 其他最终用途
  • 全球图资料库市场:细分、RDF(按类型)、效能与预测,2019-2024年、2024-2029年预测、2034年预测
  • 三层商店
  • 语意图资料库
  • 全球图资料库市场:细分市场、标示属性图(按类型)、实际值和预测值,2019-2024 年、2024-2029 年预测值、2034 年预测值
  • 原生图资料库
  • 多模型图资料库

第七章 区域和国家分析

  • 全球图资料库市场:按地区、效能和预测划分,2019-2024年、2024-2029年预测、2034年预测
  • 全球图资料库市场:依国家、效能和预测划分,2019-2024 年、2024-2029 年预测、2034 年预测

第八章 亚太市场

第九章:中国市场

第十章 印度市场

第十一章 日本市场

第十二章:澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章:德国市场

第十八章:法国市场

第十九章:义大利市场

第二十章:西班牙市场

第21章 东欧市场

第22章:俄罗斯市场

第23章 北美市场

第24章美国市场

第25章:加拿大市场

第26章 南美洲市场

第27章:巴西市场

第28章 中东市场

第29章:非洲市场

第三十章:竞争格局与公司概况

  • 图资料库市场:竞争格局
  • 图资料库市场:公司概况
    • Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • International Business Machines Corporation(IBM)Overview, Products and Services, Strategy and Financial Analysis
    • Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • DataStax Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Stardog Union Inc. Overview, Products and Services, Strategy and Financial Analysis

第31章:其他领先和创新企业

  • Microsoft Corporation
  • SAP SE
  • Teradata Corporation
  • MarkLogic Corporation
  • Neo4j Inc.
  • TigerGraph Inc.
  • Objectivity Inc.
  • Franz Inc.
  • ArangoDB GmbH
  • Cambridge Semantics Inc.
  • OrientDB Ltd.
  • MongoDB Inc.
  • Bitnine Co. Ltd.
  • Ontotext AD
  • Grakn Labs Pte Ltd

第32章 全球市场竞争基准化分析与仪錶板

第33章 重大併购

第34章 近期市场趋势

第35章:高潜力市场国家、细分市场与策略

  • 图资料库市场展望 2029:蕴藏新机会的国家
  • 图资料库市场展望 2029:新兴细分市场蕴藏新的机会
  • 图资料库市场 2029:成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章附录

简介目录
Product Code: r22648u

Graph databases represent tailored platforms designed for constructing and managing graphs. These systems interconnect specific data nodes and establish relationships in the form of graphs, facilitating user queries and enabling a more realistic comprehension of factual information.

Graph databases primarily manifest in two forms such as RDF and labelled property graphs. Labelled property graphs are a specific type of graph database that consists of nodes and relationships, commonly referred to as LPG-style databases. The key components encompass software and services, deployable in both cloud-based and on-premises environments. These databases find diverse applications spanning consumer analytics, deep learning, regulatory compliance, recommendation engines, identity and access management, fraud detection, supply chain management, and various other domains. They are utilized across sectors like banking, financial services, insurance (BFSI), retail, e-commerce, IT, telecommunications, transportation, logistics, and more.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

The graph database market research report is one of a series of new reports from The Business Research Company that provides graph database market statistics, including graph database industry global market size, regional shares, competitors with a graph database market share, detailed graph database market segments, market trends and opportunities, and any further data you may need to thrive in the graph database industry. This graph database market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The graph database market size has grown exponentially in recent years. It will grow from $3.23 billion in 2024 to $4 billion in 2025 at a compound annual growth rate (CAGR) of 23.6%. The growth in the historic period can be attributed to increased complexity of data relationships, social media and network analysis, need for real-time data processing, advancements in data analytics, government and intelligence sector adoption, healthcare data management.

The graph database market size is expected to see exponential growth in the next few years. It will grow to $9.4 billion in 2029 at a compound annual growth rate (CAGR) of 23.8%. The growth in the forecast period can be attributed to digital transformation initiatives, supply chain and logistics optimization, graph-based search engines, data privacy and compliance, increasing automotive industry applications. Major trends in the forecast period include advancements in graph query languages, integration with machine learning and ai, use cases in fraud detection and cybersecurity, cloud-based graph database services, graph database adoption in life sciences.

The forecast of 23.8% growth over the next five years reflects a modest reduction of 0.4% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. Tariff impositions could indirectly hamper the U.S. market by inflating the cost of high-performance server imports essential for graph database operations, particularly those involving real-time analytics. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The growing adoption of artificial intelligence (AI) is anticipated to boost the graph database market in the future. AI refers to the simulation of human intelligence in machines programmed to perform tasks that typically require cognitive abilities such as learning, reasoning, problem-solving, perception, and decision-making. This rise in AI adoption can be attributed to its ability to streamline processes, enhance productivity, improve data availability, offer flexibility and integration, and support innovative business practices. Graph databases facilitate artificial intelligence by effectively managing and analyzing intricate relationships between data points, leading to improved pattern recognition, recommendations, and decision-making. For example, in May 2022, International Business Machines Corporation (IBM), a US-based company, reported that 35% of businesses worldwide utilized artificial intelligence in 2022, marking a 4% increase from 2021. Additionally, the number of organizations adopting AI rose by 13% in 2022 compared to the previous year. Consequently, the rising adoption of artificial intelligence is driving the growth of the graph database market.

The escalating need for personalized marketing strategies is anticipated to fuel the expansion of the graph database market. Personalized marketing involves tailoring messages and product offers to clients based on data analysis and digital technologies. Graph databases excel in personalized marketing as they can efficiently store and process vast amounts of interconnected data, encompassing social media interactions, purchase histories, and customer profiles. Yieldify's report in November 2021 indicated that over 74% of surveyed organizations had adopted website personalization programs. By the end of 2022, an estimated 93% of these companies are predicted to embrace advanced features like dynamic segmentation. This surge in demand for personalized marketing initiatives is a key factor driving the growth of the graph database market.

Key companies in the graph database market are concentrating on creating fully managed graph databases to streamline deployment, improve scalability, minimize maintenance efforts, and facilitate seamless integration with cloud platforms for enhanced performance and efficiency. A fully managed graph database is specifically engineered to manage the complex relationships inherent in applications like social networking, fraud detection, and knowledge graphs. It employs advanced algorithms to analyze and identify potentially harmful domains, thereby safeguarding users against phishing and other cyber threats. For example, in August 2024, Amazon Web Services, Inc., a US-based company, introduced Mithra, a graph database that supports real-time querying capabilities. This allows security teams to swiftly respond to emerging threats by quickly analyzing the relationships and patterns related to malicious activities. As a part of the AWS ecosystem, Mithra integrates effortlessly with other Amazon services, enhancing its functionality and ensuring smooth data flow across platforms.

Major players in the graph database market are innovating by developing high-performance graph databases to cater to larger customer bases, drive sales, and augment revenue. High-performance graph databases are specialized databases tailored to store and manipulate graph structures effectively for semantic queries involving nodes, edges, and properties. Aerospike's introduction of Aerospike Graph in June 2023 addresses the demand for a high-performance, enterprise-scale graph database offering real-time performance at a reasonable cost. By utilizing Aerospike's robust database as the storage layer, Aerospike Graph provides database administrators and developers with simplicity, ease of use, and optimized resource utilization. Its unique architecture enables independent scaling of compute and storage infrastructure, ensuring consistent throughput and low latencies even with extensive data volumes.

In May 2022, Integral Venture Partners, a private equity firm headquartered in the UK, completed the acquisition of a 76% ownership stake in Ontotext. The specific financial details of this transaction remain undisclosed. The funds infused into this acquisition are earmarked for a capital increase and the repurchase of secondary shares within Ontotext. Ontotext is a prominent European company, specializes in delivering graph database solutions tailored for RDF-based semantic technology applications. Integral Venture Partners' majority ownership signifies a strategic investment in Ontotext's innovative offerings within the semantic technology domain.

Major companies operating in the graph database market are Oracle Corporation, International Business Machines Corporation (IBM), Amazon Web Services Inc., DataStax Inc., Stardog Union Inc., Microsoft Corporation, SAP SE, Teradata Corporation, MarkLogic Corporation, Neo4j Inc., TigerGraph Inc., Objectivity Inc., Franz Inc., ArangoDB GmbH, Cambridge Semantics Inc., OrientDB Ltd., MongoDB Inc., Bitnine Co. Ltd., Ontotext AD, Grakn Labs Pte Ltd, Dgraph Labs Inc., JanusGraph, Expero Inc.,mRedis Labs Ltd.

North America was the largest region in the graph database market in 2024. The regions covered in the graph database market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the graph database market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The graph database includes revenues earned by entities by providing services such as storage of data, query and modify network graphs. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Graph Database Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on graph database market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
  • Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, post-pandemic supply chain realignment, inflation and interest rate fluctuations, and evolving regulatory landscapes.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for graph database ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The graph database market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Type: RDF; Labeled Property Graph
  • 2) By Component: Software; Services
  • 3) By Deployment Mode: Cloud; On-Premises
  • 4) By Application Type: Consumer Analytics; Deep Learning; Regulatory Compliance; Recommendation Engines; Identity And Access Management; Fraud Detection; Supply Chain Management; Other Applications
  • 5) By End-Use: BFSI; Retail And E-Commerce; IT And Telecommunication; Transportation And Logistics; Other End-Users
  • Subsegments:
  • 1) By RDF(Resource Description Framework): Triple Stores; Semantic Graph Databases
  • 2) By Labeled Property Graph: Native Graph Databases; Multi-Model Graph Databases
  • Companies Mentioned: Oracle Corporation; International Business Machines Corporation (IBM); Amazon Web Services Inc.; DataStax Inc.; Stardog Union Inc.; Microsoft Corporation; SAP SE; Teradata Corporation; MarkLogic Corporation; Neo4j Inc.; TigerGraph Inc.; Objectivity Inc.; Franz Inc.; ArangoDB GmbH; Cambridge Semantics Inc.; OrientDB Ltd.; MongoDB Inc.; Bitnine Co. Ltd.; Ontotext AD; Grakn Labs Pte Ltd; Dgraph Labs Inc.; JanusGraph; Expero Inc.;mRedis Labs Ltd.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Graph Database Market Characteristics

3. Graph Database Market Trends And Strategies

4. Graph Database Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Graph Database Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Graph Database PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Graph Database Market Growth Rate Analysis
  • 5.4. Global Graph Database Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Graph Database Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Graph Database Total Addressable Market (TAM)

6. Graph Database Market Segmentation

  • 6.1. Global Graph Database Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • RDF
  • Labeled Propert Graph
  • 6.2. Global Graph Database Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software
  • Services
  • 6.3. Global Graph Database Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Cloud
  • On-Premises
  • 6.4. Global Graph Database Market, Segmentation By Application Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Consumer Analytics
  • Deep Learning
  • Regulatory Compliance
  • Recommendation Engines
  • Identity and Access Management
  • Fraud Detection
  • Supply Chain Management
  • Other Applications
  • 6.5. Global Graph Database Market, Segmentation By End-Use, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • BFSI
  • Retail and E-Commerce
  • IT and Telecommunication
  • Transportation and Logistics
  • Other End-Users
  • 6.6. Global Graph Database Market, Sub-Segmentation Of RDF, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Triple Stores
  • Semantic Graph Databases
  • 6.7. Global Graph Database Market, Sub-Segmentation Of Labeled Property Graph, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Native Graph Databases
  • Multi-Model Graph Databases

7. Graph Database Market Regional And Country Analysis

  • 7.1. Global Graph Database Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Graph Database Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Graph Database Market

  • 8.1. Asia-Pacific Graph Database Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Graph Database Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Graph Database Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Graph Database Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Graph Database Market

  • 9.1. China Graph Database Market Overview
  • 9.2. China Graph Database Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Graph Database Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Graph Database Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Graph Database Market

  • 10.1. India Graph Database Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Graph Database Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Graph Database Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Graph Database Market

  • 11.1. Japan Graph Database Market Overview
  • 11.2. Japan Graph Database Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Graph Database Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Graph Database Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Graph Database Market

  • 12.1. Australia Graph Database Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Graph Database Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Graph Database Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Graph Database Market

  • 13.1. Indonesia Graph Database Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Graph Database Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Graph Database Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Graph Database Market

  • 14.1. South Korea Graph Database Market Overview
  • 14.2. South Korea Graph Database Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Graph Database Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Graph Database Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Graph Database Market

  • 15.1. Western Europe Graph Database Market Overview
  • 15.2. Western Europe Graph Database Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Graph Database Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Graph Database Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Graph Database Market

  • 16.1. UK Graph Database Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Graph Database Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Graph Database Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Graph Database Market

  • 17.1. Germany Graph Database Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Graph Database Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Graph Database Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Graph Database Market

  • 18.1. France Graph Database Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Graph Database Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Graph Database Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Graph Database Market

  • 19.1. Italy Graph Database Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Graph Database Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Graph Database Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Graph Database Market

  • 20.1. Spain Graph Database Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Graph Database Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Graph Database Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Graph Database Market

  • 21.1. Eastern Europe Graph Database Market Overview
  • 21.2. Eastern Europe Graph Database Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Graph Database Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Graph Database Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Graph Database Market

  • 22.1. Russia Graph Database Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Graph Database Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Graph Database Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Graph Database Market

  • 23.1. North America Graph Database Market Overview
  • 23.2. North America Graph Database Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Graph Database Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Graph Database Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Graph Database Market

  • 24.1. USA Graph Database Market Overview
  • 24.2. USA Graph Database Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Graph Database Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Graph Database Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Graph Database Market

  • 25.1. Canada Graph Database Market Overview
  • 25.2. Canada Graph Database Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Graph Database Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Graph Database Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Graph Database Market

  • 26.1. South America Graph Database Market Overview
  • 26.2. South America Graph Database Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Graph Database Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Graph Database Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Graph Database Market

  • 27.1. Brazil Graph Database Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Graph Database Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Graph Database Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Graph Database Market

  • 28.1. Middle East Graph Database Market Overview
  • 28.2. Middle East Graph Database Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Graph Database Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Graph Database Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Graph Database Market

  • 29.1. Africa Graph Database Market Overview
  • 29.2. Africa Graph Database Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Graph Database Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Graph Database Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Graph Database Market Competitive Landscape And Company Profiles

  • 30.1. Graph Database Market Competitive Landscape
  • 30.2. Graph Database Market Company Profiles
    • 30.2.1. Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. International Business Machines Corporation (IBM) Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. DataStax Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Stardog Union Inc. Overview, Products and Services, Strategy and Financial Analysis

31. Graph Database Market Other Major And Innovative Companies

  • 31.1. Microsoft Corporation
  • 31.2. SAP SE
  • 31.3. Teradata Corporation
  • 31.4. MarkLogic Corporation
  • 31.5. Neo4j Inc.
  • 31.6. TigerGraph Inc.
  • 31.7. Objectivity Inc.
  • 31.8. Franz Inc.
  • 31.9. ArangoDB GmbH
  • 31.10. Cambridge Semantics Inc.
  • 31.11. OrientDB Ltd.
  • 31.12. MongoDB Inc.
  • 31.13. Bitnine Co. Ltd.
  • 31.14. Ontotext AD
  • 31.15. Grakn Labs Pte Ltd

32. Global Graph Database Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Graph Database Market

34. Recent Developments In The Graph Database Market

35. Graph Database Market High Potential Countries, Segments and Strategies

  • 35.1 Graph Database Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Graph Database Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Graph Database Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer