2025-2029年全球向量资料库市场
市场调查报告书
商品编码
1916066

2025-2029年全球向量资料库市场

Global Vector Database Market 2025-2029

出版日期: | 出版商: TechNavio | 英文 304 Pages | 订单完成后即时交付

价格
简介目录

全球向量资料库市场预计将以14.7%的复合年增长率成长,在2024年至2029年的预测期内达到21.239亿美元。本报告对全球向量资料库市场进行了全面分析,包括市场规模和预测、趋势、成长要素和挑战,以及对约25家公司的供应商分析。

本报告对当前市场格局、最新趋势和驱动因素以及整体市场环境进行了最新分析,而整体市场环境的驱动因素包括生成式人工智慧和大规模语言模型的普及、非结构化数据的指数级增长以及对个性化用户体验日益增长的需求。

本研究采用客观的方法,结合一手和二手讯息,包括来自主要行业相关人员的意见。报告包含对主要企业的分析、全面的市场规模数据、区域細項分析以及供应商格局。报告提供历史数据和预测数据。

市场覆盖范围
基准年 2025
目标期 2029
预测期 2025-2029
成长势头 加速度
同比 13.2%
复合年增长率 14.7%
增量 21.239亿美元

该研究指出,未来几年,与现有数据平台的整合是推动全球向量资料库市场成长的主要因素之一,而无伺服器和託管向量资料库服务的兴起,以及磁碟上经济高效的索引技术的发展,预计将在市场上产生巨大的需求。

目录

第一章执行摘要

第二章 Technavio 分析

  • 价格、生命週期、顾客购买篮、采用率和购买标准分析
  • 投入与差异化因素的重要性
  • 混淆来源
  • 驱动因素和挑战的影响

第三章 市场情势

  • 市场生态系统
  • 市场特征
  • 价值链分析

第四章 市场规模

  • 市场定义
  • 市场区隔分析
  • 2024年市场规模
  • 2024-2029年市场展望

第五章 市场规模表现

  • 2019-2023年全球向量资料库市场
  • 2019-2023年部署细分市场分析
  • 应用细分市场分析 2019-2023
  • 2019-2023年最终用户细分市场分析
  • 2019-2023年区域细分市场分析
  • 2019-2023年国家细分市场分析

第六章 定性分析

  • 人工智慧的影响:全球向量资料库市场

第七章五力分析

  • 五力分析概述
  • 买方的议价能力
  • 供应商的议价能力
  • 新进入者的威胁
  • 替代品的威胁
  • 竞争威胁
  • 市场状况

8. 依部署方式进行市场区隔

  • 比较:依部署方式
  • 本地部署
  • 基于云端的
  • 杂交种
  • 按部署方式分類的市场机会

第九章 按应用进行市场细分

  • 比较:透过应用
  • 自然语言处理(NLP)
  • 图像和影片识别
  • 建议​​统
  • 诈欺侦测
  • 按应用分類的市场机会

第十章 按最终用户进行市场细分

  • 比较:按最终用户
  • 资讯科技/通讯
  • BFSI
  • 零售与电子商务
  • 卫生保健
  • 其他的
  • 按最终用户分類的市场机会

第十一章 客户情况

第十二章 区域情势

  • 区域细分
  • 区域比较
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 荷兰
    • 义大利
    • 西班牙
  • 中东和非洲
    • 阿拉伯聯合大公国
    • 沙乌地阿拉伯
    • 以色列
    • 南非
    • 土耳其
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥伦比亚
  • 各区域的市场机会

第十三章:驱动因素、挑战与机会

  • 市场驱动因素
  • 市场挑战
  • 驱动因素和挑战的影响
  • 市场机会

第十四章 竞争格局

  • 概述
  • 竞争格局
  • 令人困惑的局面
  • 产业风险

第十五章 竞争分析

  • 公司简介
  • 企业排名指数
  • 公司市场定位
  • 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

第十六章附录

简介目录
Product Code: IRTNTR81114

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.

Market Scope
Base Year2025
End Year2029
Series Year2025-2029
Growth MomentumAccelerate
YOY 202513.2%
CAGR14.7%
Incremental Value$2123.9 mn

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