2025-2029年全球向量資料庫市場

全球向量資料庫市場預計將以14.7%的複合年成長率成長，在2024年至2029年的預測期內達到21.239億美元。本報告對全球向量資料庫市場進行了全面分析，包括市場規模和預測、趨勢、成長要素和挑戰，以及對約25家公司的供應商分析。

本報告對當前市場格局、最新趨勢和促進因素以及整體市場環境進行了最新分析，而整體市場環境的促進因素包括生成式人工智慧和大規模語言模型的普及、非結構化數據的指數級成長以及對個性化用戶體驗日益成長的需求。

本研究採用客觀的方法，結合一手和二手訊息，包括來自主要行業相關人員的意見。報告包含對主要企業的分析、全面的市場規模數據、區域細分分析以及供應商格局。報告提供歷史數據和預測數據。

該研究指出，未來幾年，與現有數據平台的整合是推動全球向量資料庫市場成長的主要因素之一，而無伺服器和託管向量資料庫服務的興起，以及磁碟上經濟高效的索引技術的發展，預計將在市場上產生巨大的需求。

目錄

第1章執行摘要

第2章 Technavio 分析

• 價格、生命週期、顧客購買籃、採用率和購買標準分析
• 投入與差異化因素的重要性
• 混淆來源
• 促進因素和挑戰的影響

第3章 市場情勢

• 市場生態系統
• 市場特徵
• 價值鏈分析

第4章 市場規模

• 市場定義
• 市場區隔分析
• 2024年市場規模
• 2024-2029年市場展望

第5章 市場規模表現

• 2019-2023年全球向量資料庫市場
• 2019-2023年部署細分市場分析
• 應用細分市場分析 2019-2023
• 2019-2023年最終用戶細分市場分析
• 2019-2023年區域細分市場分析
• 2019-2023年國家細分市場分析

第6章 定性分析

• 人工智慧的影響：全球向量資料庫市場

第7章五力分析

• 五力分析概述
• 買方的議價能力
• 供應商的議價能力
• 新進入者的威脅
• 替代品的威脅
• 競爭威脅
• 市場狀況

8. 依部署方式進行市場區隔

• 比較：依部署方式
• 本地部署
• 基於雲端的
• 混合
• 按部署方式分類的市場機會

第9章 按應用進行市場細分

• 比較：透過應用
• 自然語言處理（NLP）
• 圖像和影片識別
• 建議​​統
• 詐欺偵測
• 按應用分類的市場機會

第10章 按最終用戶進行市場細分

• 比較：按最終用戶
• 資訊科技/通訊
• BFSI
• 零售與電子商務
• 衛生保健
• 其他
• 按最終用戶分類的市場機會

第11章 客戶情況

第12章 區域情勢

• 區域細分
• 區域比較
• 北美洲
  • 美國
  • 加拿大
  • 墨西哥
• 亞太地區
  • 中國
  • 日本
  • 印度
  • 韓國
  • 澳洲
  • 印尼
• 歐洲
  • 德國
  • 英國
  • 法國
  • 荷蘭
  • 義大利
  • 西班牙
• 中東和非洲
  • 阿拉伯聯合大公國
  • 沙烏地阿拉伯
  • 以色列
  • 南非
  • 土耳其
• 南美洲
  • 巴西
  • 阿根廷
  • 哥倫比亞
• 各區域的市場機遇

第13章：促進因素、挑戰與機遇

• 市場促進因素
• 市場挑戰
• 促進因素和挑戰的影響
• 市場機遇

第14章 競爭格局

• 概述
• 競爭格局
• 令人困惑的局面
• 產業風險

第15章 競爭分析

• 公司簡介
• 企業排名指數
• 公司市場定位
• Activeloop
• Amazon Web Services Inc.
• Chroma
• ClickHouse Inc.
• Crunchy Data Solutions Inc.
• Elasticsearch BV
• LanceDB Inc.
• Meta Platforms Inc.
• MongoDB Inc.
• Pinecone Systems Inc.
• Qdrant
• Redis Ltd.
• Vespa.ai AS
• Weaviate BV
• Zilliz

第16章附錄

The global vector database market is forecasted to grow by USD 2123.9 mn during 2024-2029, accelerating at a CAGR of 14.7% during the forecast period. The report on the global vector database market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by proliferation of generative AI and large language models, exponential growth of unstructured data, rising demand for personalized user experiences.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's global vector database market is segmented as below:

By Deployment

• On-premises
• Cloud-based
• Hybrid

By Application

• NLP
• Image and video recognition
• Recommendation systems
• Fraud detection

By End-User

• IT and telecommunications
• BFSI
• Retail and e-commerce
• Healthcare
• Others

Geography

• North America
  • US
  • Canada
  • Mexico
• APAC
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
• Europe
  • Germany
  • UK
  • France
  • The Netherlands
  • Italy
  • Spain
• Middle East and Africa
  • UAE
  • South Africa
  • Turkey
• South America
  • Brazil
  • Argentina
  • Colombia
• Rest of World (ROW)

This study identifies the integration into existing data platforms as one of the prime reasons driving the global vector database market growth during the next few years. Also, rise of serverless and managed vector database services and development of on-disk and cost-effective indexing will lead to sizable demand in the market.

The report on the global vector database market covers the following areas:

• Global vector database market sizing
• Global vector database market forecast
• Global vector database market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global vector database market vendors that include Activeloop, Amazon Web Services Inc., Chroma, ClickHouse Inc., Crunchy Data Solutions Inc., DataStax Inc., Elasticsearch B.V., Google LLC, KX Systems Inc., LanceDB Inc., Meta Platforms Inc., MongoDB Inc., Pinecone Systems Inc., Qdrant, Redis Ltd., SingleStore Inc., Vespa.ai AS, Weaviate B.V., Zilliz. Also, the global vector database market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

• 1.1 Market overview
  • Executive Summary - Chart on Market Overview
  • Executive Summary - Data Table on Market Overview
  • Executive Summary - Chart on Global Market Characteristics
  • Executive Summary - Chart on Market by Geography
  • Executive Summary - Chart on Market Segmentation by Deployment
  • Executive Summary - Chart on Market Segmentation by Application
  • Executive Summary - Chart on Market Segmentation by End-user
  • Executive Summary - Chart on Incremental Growth
  • Executive Summary - Data Table on Incremental Growth
  • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

• 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
• 2.2 Criticality of inputs and Factors of differentiation
• 2.3 Factors of disruption
• 2.4 Impact of drivers and challenges

3 Market Landscape

• 3.1 Market ecosystem
• 3.2 Market characteristics
• 3.3 Value chain analysis

4 Market Sizing

• 4.1 Market definition
• 4.2 Market segment analysis
  • Market segments
• 4.3 Market size 2024
• 4.4 Market outlook: Forecast for 2024-2029

5 Historic Market Size

• 5.1 Global Vector Database Market 2019 - 2023
  • Historic Market Size - Data Table on Global Vector Database Market 2019 - 2023 ($ million)
• 5.2 Deployment segment analysis 2019 - 2023
  • Historic Market Size - Deployment Segment 2019 - 2023 ($ million)
• 5.3 Application segment analysis 2019 - 2023
  • Historic Market Size - Application Segment 2019 - 2023 ($ million)
• 5.4 End-user segment analysis 2019 - 2023
  • Historic Market Size - End-user Segment 2019 - 2023 ($ million)
• 5.5 Geography segment analysis 2019 - 2023
  • Historic Market Size - Geography Segment 2019 - 2023 ($ million)
• 5.6 Country segment analysis 2019 - 2023
  • Historic Market Size - Country Segment 2019 - 2023 ($ million)

6 Qualitative Analysis

• 6.1 The AI impact on global vector database market

7 Five Forces Analysis

• 7.1 Five forces summary
  • Five forces analysis - Comparison between 2024 and 2029
• 7.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2024 and 2029
• 7.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2024 and 2029
• 7.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2024 and 2029
• 7.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2024 and 2029
• 7.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2024 and 2029
• 7.7 Market condition

8 Market Segmentation by Deployment

• 8.1 Market segments
• 8.2 Comparison by Deployment
• 8.3 On-premises - Market size and forecast 2024-2029
• 8.4 Cloud-based - Market size and forecast 2024-2029
• 8.5 Hybrid - Market size and forecast 2024-2029
• 8.6 Market opportunity by Deployment
  • Market opportunity by Deployment ($ million)

9 Market Segmentation by Application

• 9.1 Market segments
• 9.2 Comparison by Application
• 9.3 NLP - Market size and forecast 2024-2029
• 9.4 Image and video recognition - Market size and forecast 2024-2029
• 9.5 Recommendation systems - Market size and forecast 2024-2029
• 9.6 Fraud detection - Market size and forecast 2024-2029
• 9.7 Market opportunity by Application
  • Market opportunity by Application ($ million)

10 Market Segmentation by End-user

• 10.1 Market segments
• 10.2 Comparison by End-user
• 10.3 IT and telecommunications - Market size and forecast 2024-2029
• 10.4 BFSI - Market size and forecast 2024-2029
• 10.5 Retail and e-commerce - Market size and forecast 2024-2029
• 10.6 Healthcare - Market size and forecast 2024-2029
• 10.7 Others - Market size and forecast 2024-2029
• 10.8 Market opportunity by End-user
  • Market opportunity by End-user ($ million)

11 Customer Landscape

• 11.1 Customer landscape overview
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

12 Geographic Landscape

• 12.1 Geographic segmentation
• 12.2 Geographic comparison
• 12.3 North America - Market size and forecast 2024-2029
  • 12.3.1 US - Market size and forecast 2024-2029
  • 12.3.2 Canada - Market size and forecast 2024-2029
  • 12.3.3 Mexico - Market size and forecast 2024-2029
• 12.4 APAC - Market size and forecast 2024-2029
  • 12.4.1 China - Market size and forecast 2024-2029
  • 12.4.2 Japan - Market size and forecast 2024-2029
  • 12.4.3 India - Market size and forecast 2024-2029
  • 12.4.4 South Korea - Market size and forecast 2024-2029
  • 12.4.5 Australia - Market size and forecast 2024-2029
  • 12.4.6 Indonesia - Market size and forecast 2024-2029
• 12.5 Europe - Market size and forecast 2024-2029
  • 12.5.1 Germany - Market size and forecast 2024-2029
  • 12.5.2 UK - Market size and forecast 2024-2029
  • 12.5.3 France - Market size and forecast 2024-2029
  • 12.5.4 The Netherlands - Market size and forecast 2024-2029
  • 12.5.5 Italy - Market size and forecast 2024-2029
  • 12.5.6 Spain - Market size and forecast 2024-2029
• 12.6 Middle East and Africa - Market size and forecast 2024-2029
  • 12.6.1 UAE - Market size and forecast 2024-2029
  • 12.6.2 Saudi Arabia - Market size and forecast 2024-2029
  • 12.6.3 Israel - Market size and forecast 2024-2029
  • 12.6.4 South Africa - Market size and forecast 2024-2029
  • 12.6.5 Turkey - Market size and forecast 2024-2029
• 12.7 South America - Market size and forecast 2024-2029
  • 12.7.1 Brazil - Market size and forecast 2024-2029
  • 12.7.2 Argentina - Market size and forecast 2024-2029
  • 12.7.3 Colombia - Market size and forecast 2024-2029
• 12.8 Market opportunity by geography
  • Market opportunity by geography ($ million)
  • Data Tables on Market opportunity by geography ($ million)

13 Drivers, Challenges, and Opportunity

• 13.1 Market drivers
  • Proliferation of generative AI and large language models
  • Exponential growth of unstructured data
  • Rising demand for personalized user experiences
• 13.2 Market challenges
  • Complexity of implementation and lack of skilled talent
  • High computational and storage costs
  • Difficulties in benchmarking and company selection
• 13.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2024 and 2029
• 13.4 Market opportunities
  • Integration into existing data platforms
  • Rise of serverless and managed vector database services
  • Development of on-disk and cost-effective indexing

14 Competitive Landscape

• 14.1 Overview
• 14.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 14.3 Landscape disruption
  • Overview on factors of disruption
• 14.4 Industry risks
  • Impact of key risks on business

15 Competitive Analysis

• 15.1 Companies profiled
  • Companies covered
• 15.2 Company ranking index
  • Company ranking index
• 15.3 Market positioning of companies
  • Matrix on companies position and classification
• 15.4 Activeloop
  • Activeloop - Overview
  • Activeloop - Product / Service
  • Activeloop - Key offerings
  • SWOT
• 15.5 Amazon Web Services Inc.
  • Amazon Web Services Inc. - Overview
  • Amazon Web Services Inc. - Product / Service
  • Amazon Web Services Inc. - Key news
  • Amazon Web Services Inc. - Key offerings
  • SWOT
• 15.6 Chroma
  • Chroma - Overview
  • Chroma - Product / Service
  • Chroma - Key offerings
  • SWOT
• 15.7 ClickHouse Inc.
  • ClickHouse Inc. - Overview
  • ClickHouse Inc. - Product / Service
  • ClickHouse Inc. - Key offerings
  • SWOT
• 15.8 Crunchy Data Solutions Inc.
  • Crunchy Data Solutions Inc. - Overview
  • Crunchy Data Solutions Inc. - Product / Service
  • Crunchy Data Solutions Inc. - Key offerings
  • SWOT
• 15.9 Elasticsearch B.V.
  • Elasticsearch B.V. - Overview
  • Elasticsearch B.V. - Product / Service
  • Elasticsearch B.V. - Key offerings
  • SWOT
• 15.10 LanceDB Inc.
  • LanceDB Inc. - Overview
  • LanceDB Inc. - Product / Service
  • LanceDB Inc. - Key offerings
  • SWOT
• 15.11 Meta Platforms Inc.
  • Meta Platforms Inc. - Overview
  • Meta Platforms Inc. - Business segments
  • Meta Platforms Inc. - Key offerings
  • Meta Platforms Inc. - Segment focus
  • SWOT
• 15.12 MongoDB Inc.
  • MongoDB Inc. - Overview
  • MongoDB Inc. - Product / Service
  • MongoDB Inc. - Key offerings
  • SWOT
• 15.13 Pinecone Systems Inc.
  • Pinecone Systems Inc. - Overview
  • Pinecone Systems Inc. - Product / Service
  • Pinecone Systems Inc. - Key offerings
  • SWOT
• 15.14 Qdrant
  • Qdrant - Overview
  • Qdrant - Product / Service
  • Qdrant - Key offerings
  • SWOT
• 15.15 Redis Ltd.
  • Redis Ltd. - Overview
  • Redis Ltd. - Product / Service
  • Redis Ltd. - Key offerings
  • SWOT
• 15.16 Vespa.ai AS
  • Vespa.ai AS - Overview
  • Vespa.ai AS - Product / Service
  • Vespa.ai AS - Key offerings
  • SWOT
• 15.17 Weaviate B.V.
  • Weaviate B.V. - Overview
  • Weaviate B.V. - Product / Service
  • Weaviate B.V. - Key offerings
  • SWOT
• 15.18 Zilliz
  • Zilliz - Overview
  • Zilliz - Product / Service
  • Zilliz - Key offerings
  • SWOT

16 Appendix

• 16.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 16.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 16.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 16.4 Research methodology
  • Research methodology
• 16.5 Data procurement
  • Information sources
• 16.6 Data validation
  • Data validation
• 16.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 16.8 Data synthesis
  • Data synthesis
• 16.9 360 degree market analysis
  • 360 degree market analysis
• 16.10 List of abbreviations
  • List of abbreviations