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市场调查报告书
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1888266

图资料库向量搜寻全球市场报告（2025年）

Graph Database Vector Search 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

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简介目录

近年来，图资料库向量搜寻市场发展迅速，预计将从2024年的23.9亿美元成长到2025年的29.5亿美元，复合年增长率（CAGR）为23.8%。过去几年的成长可归因于图分析技术的日益普及、对即时数据处理需求的不断增长、巨量资料基础设施的扩展、对基于关係的洞察需求的不断增长，以及对欺诈检测和风险管理的日益重视。

预计未来几年，图资料库向量搜寻市场将呈指数级成长，到2029年市场规模将达到68.5亿美元，复合年增长率（CAGR）为23.4%。预测期内的成长要素包括：对支援向量的资料平台的需求不断增长、对语义和上下文搜寻的需求日益增加、对资料管理现代化投资不断增长、图和向量搜寻搜寻日益融合，以及对智慧资料搜寻和分析的日益重视。预测期内的关键趋势包括：向量搜寻技术的进步、多模型和混合资料库的创新、情境资料处理领域研发投入的增加、云端原生图向量平台的出现，以及开放原始码图和向量框架的持续改进。

云端基础方案的日益普及预计将推动图资料库向量搜寻市场的成长。云端基础方案透过互联网提供伺服器、储存、资料库、网路、软体和分析等运算资源，从而实现快速创新、灵活的资源配置和规模经济。云端运算的普及主要得益于其可扩展性，使企业能够根据需求轻鬆调整运算资源并降低基础设施成本。图资料库向量搜寻透过高效管理和搜寻复杂的高维度资料来支援云端基础方案。它支援高阶语义和关係感知查询，从而提升云端环境中的应用智能，并加速人工智慧驱动的洞察生成。例如，根据总部位于卢森堡的政府机构欧盟统计局（Eurostat）于2023年12月发布的数据，欧盟45.2%的企业已购买云端运算服务，其中大型企业、中型企业和中小企业分别有77.6%、59%和41.7%采用了云端服务。因此，云端基础方案的日益普及正在推动图资料库向量搜寻市场的成长。

在图资料库向量搜寻市场中，主要企业正致力于将原生向量搜寻整合到其核心图引擎中。这包括原生向量索引，它可以将向量嵌入与属性图资料一起储存和查询，从而实现语义感知和关係感知相结合的查询。原生向量索引指的是资料库能够接受高维嵌入，维护用于最近邻搜寻的向量索引，并透过图查询语言公开这些搜寻。这使得应用程式能够将语义相似性结果与显式的图形探索相结合。例如，总部位于美国的图资料库公司 Neo4j Inc. 于 2023 年 8 月宣布推出原生向量搜寻功能。此整合将向量索引和搜寻功能直接嵌入到 Neo4j资料库中，使开发人员能够将基于向量的相似性搜寻与关联资料的上下文资讯结合。它还包括建立和查询现有图资料旁边的向量索引的功能，使生成式 AI 模型能够基于丰富的关係网络建立模型，从而产生更准确、更易于解释的响应。

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

  • 全球图资料库向量搜寻：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
  • 全球图资料库向量搜寻市场：成长率分析
  • 全球图资料资料库向量搜寻市场表现：规模与成长，2019-2024年
  • 全球图资料资料库向量搜寻市场预测：规模与成长，2024-2029年，2034年预测
  • 全球图资料库向量搜寻：潜在市场规模 (TAM)

第六章 市场细分

  • 全球图资料库向量搜寻市场：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
  • 全球图资料库向量搜寻市场：依部署模式划分，实际数据和预测数据，2019-2024年、2024-2029年预测数据、2034年预测数据
  • 本地部署
  • 云
  • 全球图资料库向量搜寻市场：按应用、效能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 建议​​统
  • 诈欺侦测
  • 知识图谱
  • 社会网络分析
  • 语意搜寻
  • 其他用途
  • 全球图资料库向量搜寻市场：依最终用户划分，实际数据和预测数据，2019-2024年、2024-2029年预测数据、2034年预测数据
  • 银行、金融服务和保险（BFSI）
  • 卫生保健
  • 零售与电子商务
  • 资讯科技与通讯
  • 媒体与娱乐
  • 製造业
  • 其他最终用户
  • 全球图资料库向量搜寻市场：依软体、类型、实际值及预测值细分，2019-2024年、2024-2029年预测值、2034年预测值
  • 应用开发工具
  • 资料库管理平台
  • 数据整合平台
  • 分析和查询引擎
  • 知识图谱建构工具
  • 全球图资料库向量搜寻市场：按服务、类型、效能和预测进行细分，2019-2024 年、2024-2029 年预测、2034 年预测
  • 咨询服务
  • 系统实施服务
  • 维护和支援服务
  • 培训和教育服务
  • 託管服务

第七章 区域和国家分析

  • 全球图资料库向量搜寻市场：按地区、效能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 全球图资料库向量搜寻市场：按国家/地区划分，实际结果和预测，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

  • 图资料库向量搜寻市场：竞争格局
  • 图资料库向量搜寻市场：公司概况
    • Amazon Neptune Overview, Products and Services, Strategy and Financial Analysis
    • Google Cloud Vertex AI Overview, Products and Services, Strategy and Financial Analysis
    • Microsoft Azure Cosmos DB Overview, Products and Services, Strategy and Financial Analysis
    • Alibaba Cloud Graph Database Overview, Products and Services, Strategy and Financial Analysis
    • Tencent Cloud Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • Oracle Corporation
  • SAP HANA Graph Database
  • MongoDB Inc.
  • Redis Labs Inc.
  • Neo4j Inc.
  • YugabyteDB Inc.
  • ArangoDB GmbH
  • Stardog Union Inc.
  • Memgraph Ltd.
  • Haveli Investments LP
  • Cuadrilla Capital LLC
  • Weaviate BV
  • Milvus
  • TerminusDB Ltd.
  • TigerGraph Inc.

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

  • 图资料库向量搜寻市场 2029：提供新机会的国家
  • 图资料库向量搜寻市场 2029：新兴细分市场带来新机会
  • 图资料库向量搜寻市场 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: r39643

The graph database vector search market refers to an advanced data management technology that integrates graph database structures with vector-based similarity search to manage complex and interconnected data effectively. It enables storage, retrieval, and analysis of relationships between entities while supporting semantic and contextual search through vector embeddings. This combination improves performance in applications such as AI-driven insights, natural language processing, and knowledge graphs by delivering faster, more accurate, and context-aware query results.

The key components of graph database vector search are software and services. Software refers to systems and tools that manage graph data and execute vector similarity searches, enabling intelligent retrieval of interconnected and semantically related data. It is deployed through on-premises and cloud modes. The technology finds applications in recommendation systems, fraud detection, knowledge graphs, social network analysis, semantic search, and others, and is used by end-users such as banking, financial services, and insurance (BFSI), healthcare, retail and e-commerce, information technology and telecommunications, media and entertainment, manufacturing, and other sectors.

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 rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.

The graph database vector search market research report is one of a series of new reports from The Business Research Company that provides graph database vector search market statistics, including the graph database vector search industry global market size, regional shares, competitors with the graph database vector search market share, detailed graph database vector search market segments, market trends, and opportunities, and any further data you may need to thrive in the graph database vector search industry. This graph database vector search 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 vector search market size has grown exponentially in recent years. It will grow from $2.39 billion in 2024 to $2.95 billion in 2025 at a compound annual growth rate (CAGR) of 23.8%. The growth in the historic period can be attributed to increasing adoption of graph-based analytics, rising demand for real-time data processing, expansion of big data infrastructure, growing need for relationship-driven insights, and increasing focus on fraud detection and risk management.

The graph database vector search market size is expected to see exponential growth in the next few years. It will grow to $6.85 billion in 2029 at a compound annual growth rate (CAGR) of 23.4%. The growth in the forecast period can be attributed to increasing demand for vector-enabled data platforms, rising need for semantic and contextual search, growing investment in data management modernization, expanding integration of graph and vector search capabilities, and increasing focus on intelligent data retrieval and analytics. Key trends in the forecast period include advancements in vector search technology, innovations in multi-model and hybrid databases, growing research and development in contextual data processing, emergence of cloud-native graph vector platforms, and continuous improvement in open-source graph and vector frameworks.

The rising adoption of cloud-based solutions is expected to propel the growth of the graph database vector search market going forward. Cloud-based solutions refer to the delivery of computing resources such as servers, storage, databases, networking, software, and analytics over the internet to provide faster innovation, flexible resources, and economies of scale. The adoption of cloud computing is driven by scalability, allowing businesses to easily adjust computing resources based on demand and reduce infrastructure costs. Graph database vector search supports cloud-based solutions by enabling efficient management and retrieval of complex, high-dimensional data. It allows advanced semantic and relationship-aware queries, improving application intelligence and accelerating AI-driven insights in cloud environments. For instance, in December 2023, according to Eurostat, a Luxembourg-based government organization, 45.2% of enterprises across the European Union purchased cloud computing services, with 77.6% of large enterprises, 59% of medium-sized enterprises, and 41.7% of small businesses adopting cloud services. Therefore, the rising adoption of cloud-based solutions is driving the growth of the graph database vector search market.

Key companies operating in the graph database vector search market are focusing on integrating native vector search into core graph engines, including native vector index capabilities that store and query vector embeddings alongside property graph data to enable combined semantic and relationship-aware queries. Native vector index capabilities refer to database features that accept high-dimensional embeddings, maintain a vector index for nearest-neighbor search, and expose those searches through the graph query language so applications can join semantic similarity results with explicit graph traversals. For instance, in August 2023, Neo4j Inc., a US-based graph database company, launched native vector search capability. This integration embeds vector indexing and search directly within the Neo4j database, allowing developers to combine vector-based similarity search with the contextual power of connected data. It includes the ability to build and query vector indexes alongside existing graph data, enabling more accurate and explainable responses from generative AI models by grounding them in a rich network of relationships.

In February 2025, International Business Machines Corporation (IBM), a US-based technology and consulting company, acquired DataStax Inc. for an undisclosed amount. Through this acquisition, IBM aims to enhance its capabilities in managing and analyzing vast amounts of unstructured data by integrating DataStax's NoSQL and vector database technologies, AstraDB, and DataStax Enterprise, both powered by Apache Cassandra. DataStax Inc. is a US-based data management company specializing in graph database vector search solutions.

Major players in the graph database vector search market are Amazon Neptune, Google Cloud Vertex AI, Microsoft Azure Cosmos DB, Alibaba Cloud Graph Database, Tencent Cloud, Oracle Corporation, SAP HANA Graph Database, MongoDB Inc., Redis Labs Inc., Neo4j Inc., YugabyteDB Inc., ArangoDB GmbH, Stardog Union Inc., Memgraph Ltd., Haveli Investments L.P., Cuadrilla Capital LLC, Weaviate B.V., Milvus, TerminusDB Ltd., and TigerGraph Inc.

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

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

The graph database vector search market includes revenues earned by entities through data integration services, database management services, system implementation services, consulting services, and maintenance and support services. 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 Vector Search 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 vector search 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.

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Where is the largest and fastest growing market for graph database vector search ? 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 vector search 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 Component: Software; Services
  • 2) By Deployment Mode: On-Premises; Cloud
  • 3) By Application: Recommendation Systems; Fraud Detection; Knowledge Graphs; Social Network Analysis; Semantic Search; Other Applications
  • 4) By End-User: Banking, Financial Services, And Insurance (BFSI); Healthcare; Retail And E-commerce; Information Technology And Telecommunications; Media And Entertainment; Manufacturing; Other End-Users
  • Subsegments:
  • 1) By Software: Application Development Tools; Database Management Platforms; Data Integration Platforms; Analytics And Query Engines; Knowledge Graph Construction Tools
  • 2) By Services: Consulting Services; System Implementation Services; Maintenance And Support Services; Training And Education Services; Managed Services
  • Companies Mentioned: Amazon Neptune; Google Cloud Vertex AI; Microsoft Azure Cosmos DB; Alibaba Cloud Graph Database; Tencent Cloud; Oracle Corporation; SAP HANA Graph Database; MongoDB Inc.; Redis Labs Inc.; Neo4j Inc.; YugabyteDB Inc.; ArangoDB GmbH; Stardog Union Inc.; Memgraph Ltd.; Haveli Investments L.P.; Cuadrilla Capital LLC; Weaviate B.V.; Milvus; TerminusDB Ltd.; TigerGraph Inc.
  • 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 Vector Search Market Characteristics

3. Graph Database Vector Search Market Trends And Strategies

4. Graph Database Vector Search 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 Vector Search Growth Analysis And Strategic Analysis Framework

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

6. Graph Database Vector Search Market Segmentation

  • 6.1. Global Graph Database Vector Search Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software
  • Services
  • 6.2. Global Graph Database Vector Search Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • On-Premises
  • Cloud
  • 6.3. Global Graph Database Vector Search Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Recommendation Systems
  • Fraud Detection
  • Knowledge Graphs
  • Social Network Analysis
  • Semantic Search
  • Other Applications
  • 6.4. Global Graph Database Vector Search Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Banking, Financial Services, And Insurance (BFSI)
  • Healthcare
  • Retail And E-commerce
  • Information Technology And Telecommunications
  • Media And Entertainment
  • Manufacturing
  • Other End-Users
  • 6.5. Global Graph Database Vector Search Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Application Development Tools
  • Database Management Platforms
  • Data Integration Platforms
  • Analytics And Query Engines
  • Knowledge Graph Construction Tools
  • 6.6. Global Graph Database Vector Search Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Consulting Services
  • System Implementation Services
  • Maintenance And Support Services
  • Training And Education Services
  • Managed Services

7. Graph Database Vector Search Market Regional And Country Analysis

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

8. Asia-Pacific Graph Database Vector Search Market

  • 8.1. Asia-Pacific Graph Database Vector Search 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 Vector Search Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Graph Database Vector Search Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Graph Database Vector Search Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Graph Database Vector Search Market

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

10. India Graph Database Vector Search Market

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

11. Japan Graph Database Vector Search Market

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

12. Australia Graph Database Vector Search Market

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

13. Indonesia Graph Database Vector Search Market

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

14. South Korea Graph Database Vector Search Market

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

15. Western Europe Graph Database Vector Search Market

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

16. UK Graph Database Vector Search Market

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

17. Germany Graph Database Vector Search Market

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

18. France Graph Database Vector Search Market

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

19. Italy Graph Database Vector Search Market

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

20. Spain Graph Database Vector Search Market

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

21. Eastern Europe Graph Database Vector Search Market

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

22. Russia Graph Database Vector Search Market

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

23. North America Graph Database Vector Search Market

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

24. USA Graph Database Vector Search Market

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

25. Canada Graph Database Vector Search Market

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

26. South America Graph Database Vector Search Market

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

27. Brazil Graph Database Vector Search Market

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

28. Middle East Graph Database Vector Search Market

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

29. Africa Graph Database Vector Search Market

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

30. Graph Database Vector Search Market Competitive Landscape And Company Profiles

  • 30.1. Graph Database Vector Search Market Competitive Landscape
  • 30.2. Graph Database Vector Search Market Company Profiles
    • 30.2.1. Amazon Neptune Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Google Cloud Vertex AI Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Microsoft Azure Cosmos DB Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Alibaba Cloud Graph Database Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Tencent Cloud Overview, Products and Services, Strategy and Financial Analysis

31. Graph Database Vector Search Market Other Major And Innovative Companies

  • 31.1. Oracle Corporation
  • 31.2. SAP HANA Graph Database
  • 31.3. MongoDB Inc.
  • 31.4. Redis Labs Inc.
  • 31.5. Neo4j Inc.
  • 31.6. YugabyteDB Inc.
  • 31.7. ArangoDB GmbH
  • 31.8. Stardog Union Inc.
  • 31.9. Memgraph Ltd.
  • 31.10. Haveli Investments L.P.
  • 31.11. Cuadrilla Capital LLC
  • 31.12. Weaviate B.V.
  • 31.13. Milvus
  • 31.14. TerminusDB Ltd.
  • 31.15. TigerGraph Inc.

32. Global Graph Database Vector Search Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Graph Database Vector Search Market

34. Recent Developments In The Graph Database Vector Search Market

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

  • 35.1 Graph Database Vector Search Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Graph Database Vector Search Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Graph Database Vector Search 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