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1888266

圖資料庫向量搜尋全球市場報告(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個工作天內

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簡介目錄

近年來,圖資料庫向量搜尋市場發展迅速,預計將從2024年的23.9億美元成長到2025年的29.5億美元,複合年成長率(CAGR)為23.8%。過去幾年的成長可歸因於圖分析技術的日益普及、對即時數據處理需求的不斷成長、巨量資料基礎設施的擴展、對基於關係的洞察需求的不斷成長,以及對欺詐檢測和風險管理的日益重視。

預計未來幾年,圖資料庫向量搜尋市場將呈指數級成長,到2029年市場規模將達到68.5億美元,複合年成長率(CAGR)為23.4%。預測期內的成長要素包括:對支援向量的資料平台的需求不斷成長、對語義和上下文搜尋的需求日益增加、對資料管理現代化投資不斷成長、圖和向量搜尋搜尋日益融合,以及對智慧資料搜尋和分析的日益重視。預測期內的關鍵趨勢包括:向量搜尋技術的進步、多模型和混合資料庫的創新、情境資料處理領域研發投入的增加、雲端原生圖向量平台的出現,以及開放原始碼圖和向量框架的持續改進。

雲端基礎方案的日益普及預計將推動圖資料庫向量搜尋市場的成長。雲端基礎方案透過網際網路提供伺服器、儲存、資料庫、網路、軟體和分析等運算資源,從而實現快速創新、靈活的資源配置和規模經濟。雲端運算的普及主要得益於其可擴展性,使企業能夠根據需求輕鬆調整運算資源並降低基礎設施成本。圖資料庫向量搜尋透過高效管理和搜尋複雜的高維度資料來支援雲端基礎方案。它支援高階語義和關係感知查詢,從而提升雲端環境中的應用智慧,並加速人工智慧驅動的洞察生成。例如,根據總部位於盧森堡的政府機構歐盟統計局(Eurostat)於2023年12月發布的數據,歐盟45.2%的企業已購買雲端運算服務,其中大型企業、中型企業和中小企業分別有77.6%、59%和41.7%採用了雲端服務。因此,雲端基礎方案的日益普及正在推動圖資料庫向量搜尋市場的成長。

在圖資料庫向量搜尋市場中,主要企業正致力於將原生向量搜尋整合到其核心圖引擎中。這包括原生向量索引,它可以將向量嵌入與屬性圖資料一起儲存和查詢,從而實現語義感知和關係感知相結合的查詢。原生向量索引指的是資料庫能夠接受高維嵌入,維護用於最近鄰搜尋的向量索引,並透過圖查詢語言公開這些搜尋。這使得應用程式能夠將語義相似性結果與顯式的圖形探索相結合。例如,總部位於美國的圖資料庫公司 Neo4j Inc. 於 2023 年 8 月宣布推出原生向量搜尋功能。此整合將向量索引和搜尋功能直接嵌入到 Neo4j資料庫中,使開發人員能夠將基於向量的相似性搜尋與關聯資料的上下文資訊結合。它還包括建立和查詢現有圖資料旁邊的向量索引的功能,使生成式 AI 模型能夠基於豐富的關係網路建立模型,從而產生更準確、更易於解釋的響應。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場:宏觀經濟情景,包括利率、通貨膨脹、地緣政治、貿易戰和關稅,以及新冠疫情及其復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球圖資料庫向量搜尋:PESTEL 分析(政治、社會、技術、環境、法律因素、促進因素與限制因素)
  • 終端用戶產業分析
  • 全球圖資料庫向量搜尋市場:成長率分析
  • 全球圖資料資料庫向量搜尋市場表現:規模與成長,2019-2024年
  • 全球圖資料資料庫向量搜尋市場預測:規模與成長,2024-2029年,2034年預測
  • 全球圖資料庫向量搜尋:潛在市場規模 (TAM)

第6章 市場細分

  • 全球圖資料庫向量搜尋市場:按組件分類,實際值和預測值,2019-2024 年、2024-2029 年預測值、2034 年預測值
  • 軟體
  • 服務
  • 全球圖資料庫向量搜尋市場:依部署模式分類,實際數據和預測數據,2019-2024年、2024-2029年預測數據、2034年預測數據
  • 本地部署
  • 全球圖資料庫向量搜尋市場:按應用、效能和預測分類,2019-2024年、2024-2029年預測、2034年預測
  • 建議​​統
  • 詐欺偵測
  • 知識圖譜
  • 社會網路分析
  • 語意搜尋
  • 其他用途
  • 全球圖資料庫向量搜尋市場:依最終用戶分類,實際數據和預測數據,2019-2024年、2024-2029年預測數據、2034年預測數據
  • 銀行、金融服務和保險(BFSI)
  • 衛生保健
  • 零售與電子商務
  • 資訊科技與通訊
  • 媒體與娛樂
  • 製造業
  • 其他最終用戶
  • 全球圖資料庫向量搜尋市場:依軟體、類型、實際值及預測值細分,2019-2024年、2024-2029年預測值、2034年預測值
  • 應用開發工具
  • 資料庫管理平台
  • 數據整合平台
  • 分析和查詢引擎
  • 知識圖譜建構工具
  • 全球圖資料庫向量搜尋市場:按服務、類型、效能和預測進行細分,2019-2024 年、2024-2029 年預測、2034 年預測
  • 諮詢服務
  • 系統實施服務
  • 維護和支援服務
  • 培訓和教育服務
  • 託管服務

第7章 區域和國家分析

  • 全球圖資料庫向量搜尋市場:按地區、效能和預測分類,2019-2024年、2024-2029年預測、2034年預測
  • 全球圖資料庫向量搜尋市場:按國家/地區分類,實際結果和預測,2019-2024 年、2024-2029 年預測、2034 年預測

第8章 亞太市場

第9章:中國市場

第10章 印度市場

第11章 日本市場

第12章:澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章:德國市場

第18章:法國市場

第19章:義大利市場

第20章:西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章:加拿大市場

第26章 南美洲市場

第27章:巴西市場

第28章 中東市場

第29章:非洲市場

第30章:競爭格局與公司概況

  • 圖資料庫向量搜尋市場:競爭格局
  • 圖資料庫向量搜尋市場:公司概況
    • 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:其他領先和創新企業

  • 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 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章:高潛力市場國家、細分市場與策略

  • 圖資料庫向量搜尋市場 2029:提供新機會的國家
  • 圖資料庫向量搜尋市場 2029:新興細分市場帶來新機會
  • 圖資料庫向量搜尋市場 2029:成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章附錄

簡介目錄
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