Global Vector Databases for Generative AI Applications Market Growth (Status and Outlook) 2024-2030

Publication ID:

LPI11242743

Publication Date:

November 7, 2024

Pages:

129

Publisher:

LPI

Countries:

Global [1]

USD 3,660.00

IT Services [2]

Software [3]

Computing & Electronics [4]

Description:

Vector databases for generative AI applications refer to specialized data storage systems designed to efficiently handle and retrieve high-dimensional vectors, which are numerical representations of data. In generative AI, such as in models that create text, images, or audio, these vectors represent complex features like semantic meaning, visual patterns, or audio characteristics. Vector databases enable quick similarity searches, allowing AI models to retrieve and compare similar data points, which is crucial for generating accurate and contextually relevant outputs. This capability is essential for scaling AI applications, as it enhances the model's ability to learn from and generate data more effectively.
The global Vector Databases for Generative AI Applications market size is projected to grow from US$ 270 million in 2024 to US$ 596 million in 2030; it is expected to grow at a CAGR of 14.1% from 2024 to 2030.
The 鈥淰ector Databases for Generative AI Applications Industry Forecast鈥� looks at past sales and reviews total world Vector Databases for Generative AI Applications sales in 2022, providing a comprehensive analysis by region and market sector of projected Vector Databases for Generative AI Applications sales for 2023 through 2029. With Vector Databases for Generative AI Applications sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Vector Databases for Generative AI Applications industry.
This Insight Report provides a comprehensive analysis of the global Vector Databases for Generative AI Applications landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Vector Databases for Generative AI Applications portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms鈥� unique position in an accelerating global Vector Databases for Generative AI Applications market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Vector Databases for Generative AI Applications and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Vector Databases for Generative AI Applications.
United States market for Vector Databases for Generative AI Applications is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
China market for Vector Databases for Generative AI Applications is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
Europe market for Vector Databases for Generative AI Applications is estimated to increase from US$ million in 2023 to US$ million by 2030, at a CAGR of % from 2024 through 2030.
Global key Vector Databases for Generative AI Applications players cover Zilliz Cloud, Redis, Pinecone, Weaviate, Canonical, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2023.
This report presents a comprehensive overview, market shares, and growth opportunities of Vector Databases for Generative AI Applications market by product type, application, key players and key regions and countries.
Segmentation by Type:
Memory-Based Vector Databases
Disk-Based Vector Databases
Hybrid Vector Databases
Segmentation by Application:
Natural Language Processing (NLP)
Computer Vision
Search and Information Retrieval
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
Segmentation by Type:
Memory-Based Vector Databases
Disk-Based Vector Databases
Hybrid Vector Databases
Segmentation by Application:
Natural Language Processing (NLP)
Computer Vision
Search and Information Retrieval
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Zilliz Cloud
Redis
Pinecone
Weaviate
Canonical
OpenSearch
MongoDB
Elastic
Marqo
Milvus
Snorkel AI
Qdrant
Oracle
Microsoft
AWS
Deep Lake
Fauna
Vespa

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Scope of the Report
1.1 Market Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 Market Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 Market Estimation Caveats
2 Executive Summary
2.1 World Market Overview
2.1.1 Global Vector Databases for Generative AI Applications Market Size 2019-2030
2.1.2 Vector Databases for Generative AI Applications Market Size CAGR by Region (2019 VS 2023 VS 2030)
2.1.3 World Current & Future Analysis for Vector Databases for Generative AI Applications by Country/Region, 2019, 2023 & 2030
2.2 Vector Databases for Generative AI Applications Segment by Type
2.2.1 Memory-Based Vector Databases
2.2.2 Disk-Based Vector Databases
2.2.3 Hybrid Vector Databases
2.3 Vector Databases for Generative AI Applications Market Size by Type
2.3.1 Vector Databases for Generative AI Applications Market Size CAGR by Type (2019 VS 2023 VS 2030)
2.3.2 Global Vector Databases for Generative AI Applications Market Size Market Share by Type (2019-2024)
2.4 Vector Databases for Generative AI Applications Segment by Application
2.4.1 Natural Language Processing (NLP)
2.4.2 Computer Vision
2.4.3 Search and Information Retrieval
2.4.4 Others
2.5 Vector Databases for Generative AI Applications Market Size by Application
2.5.1 Vector Databases for Generative AI Applications Market Size CAGR by Application (2019 VS 2023 VS 2030)
2.5.2 Global Vector Databases for Generative AI Applications Market Size Market Share by Application (2019-2024)
3 Vector Databases for Generative AI Applications Market Size by Player
3.1 Vector Databases for Generative AI Applications Market Size Market Share by Player
3.1.1 Global Vector Databases for Generative AI Applications Revenue by Player (2019-2024)
3.1.2 Global Vector Databases for Generative AI Applications Revenue Market Share by Player (2019-2024)
3.2 Global Vector Databases for Generative AI Applications Key Players Head office and Products Offered
3.3 Market Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2022-2024)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 Vector Databases for Generative AI Applications by Region
4.1 Vector Databases for Generative AI Applications Market Size by Region (2019-2024)
4.2 Global Vector Databases for Generative AI Applications Annual Revenue by Country/Region (2019-2024)
4.3 Americas Vector Databases for Generative AI Applications Market Size Growth (2019-2024)
4.4 APAC Vector Databases for Generative AI Applications Market Size Growth (2019-2024)
4.5 Europe Vector Databases for Generative AI Applications Market Size Growth (2019-2024)
4.6 Middle East & Africa Vector Databases for Generative AI Applications Market Size Growth (2019-2024)
5 Americas
5.1 Americas Vector Databases for Generative AI Applications Market Size by Country (2019-2024)
5.2 Americas Vector Databases for Generative AI Applications Market Size by Type (2019-2024)
5.3 Americas Vector Databases for Generative AI Applications Market Size by Application (2019-2024)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Vector Databases for Generative AI Applications Market Size by Region (2019-2024)
6.2 APAC Vector Databases for Generative AI Applications Market Size by Type (2019-2024)
6.3 APAC Vector Databases for Generative AI Applications Market Size by Application (2019-2024)
6.4 China
6.5 Japan
6.6 South Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe Vector Databases for Generative AI Applications Market Size by Country (2019-2024)
7.2 Europe Vector Databases for Generative AI Applications Market Size by Type (2019-2024)
7.3 Europe Vector Databases for Generative AI Applications Market Size by Application (2019-2024)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Vector Databases for Generative AI Applications by Region (2019-2024)
8.2 Middle East & Africa Vector Databases for Generative AI Applications Market Size by Type (2019-2024)
8.3 Middle East & Africa Vector Databases for Generative AI Applications Market Size by Application (2019-2024)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 Market Drivers, Challenges and Trends
9.1 Market Drivers & Growth Opportunities
9.2 Market Challenges & Risks
9.3 Industry Trends
10 Global Vector Databases for Generative AI Applications Market Forecast
10.1 Global Vector Databases for Generative AI Applications Forecast by Region (2025-2030)
10.1.1 Global Vector Databases for Generative AI Applications Forecast by Region (2025-2030)
10.1.2 Americas Vector Databases for Generative AI Applications Forecast
10.1.3 APAC Vector Databases for Generative AI Applications Forecast
10.1.4 Europe Vector Databases for Generative AI Applications Forecast
10.1.5 Middle East & Africa Vector Databases for Generative AI Applications Forecast
10.2 Americas Vector Databases for Generative AI Applications Forecast by Country (2025-2030)
10.2.1 United States Market Vector Databases for Generative AI Applications Forecast
10.2.2 Canada Market Vector Databases for Generative AI Applications Forecast
10.2.3 Mexico Market Vector Databases for Generative AI Applications Forecast
10.2.4 Brazil Market Vector Databases for Generative AI Applications Forecast
10.3 APAC Vector Databases for Generative AI Applications Forecast by Region (2025-2030)
10.3.1 China Vector Databases for Generative AI Applications Market Forecast
10.3.2 Japan Market Vector Databases for Generative AI Applications Forecast
10.3.3 Korea Market Vector Databases for Generative AI Applications Forecast
10.3.4 Southeast Asia Market Vector Databases for Generative AI Applications Forecast
10.3.5 India Market Vector Databases for Generative AI Applications Forecast
10.3.6 Australia Market Vector Databases for Generative AI Applications Forecast
10.4 Europe Vector Databases for Generative AI Applications Forecast by Country (2025-2030)
10.4.1 Germany Market Vector Databases for Generative AI Applications Forecast
10.4.2 France Market Vector Databases for Generative AI Applications Forecast
10.4.3 UK Market Vector Databases for Generative AI Applications Forecast
10.4.4 Italy Market Vector Databases for Generative AI Applications Forecast
10.4.5 Russia Market Vector Databases for Generative AI Applications Forecast
10.5 Middle East & Africa Vector Databases for Generative AI Applications Forecast by Region (2025-2030)
10.5.1 Egypt Market Vector Databases for Generative AI Applications Forecast
10.5.2 South Africa Market Vector Databases for Generative AI Applications Forecast
10.5.3 Israel Market Vector Databases for Generative AI Applications Forecast
10.5.4 Turkey Market Vector Databases for Generative AI Applications Forecast
10.6 Global Vector Databases for Generative AI Applications Forecast by Type (2025-2030)
10.7 Global Vector Databases for Generative AI Applications Forecast by Application (2025-2030)
10.7.1 GCC Countries Market Vector Databases for Generative AI Applications Forecast
11 Key Players Analysis
11.1 Zilliz Cloud
11.1.1 Zilliz Cloud Company Information
11.1.2 Zilliz Cloud Vector Databases for Generative AI Applications Product Offered
11.1.3 Zilliz Cloud Vector Databases for Generative AI Applications Revenue, Gross Margin and Market Share (2019-2024)
11.1.4 Zilliz Cloud Main Business Overview
11.1.5 Zilliz Cloud Latest Developments
11.2 Redis
11.2.1 Redis Company Information
11.2.2 Redis Vector Databases for Generative AI Applications Product Offered
11.2.3 Redis Vector Databases for Generative AI Applications Revenue, Gross Margin and Market Share (2019-2024)
11.2.4 Redis Main Business Overview
11.2.5 Redis Latest Developments
11.3 Pinecone
11.3.1 Pinecone Company Information
11.3.2 Pinecone Vector Databases for Generative AI Applications Product Offered
11.3.3 Pinecone Vector Databases for Generative AI Applications Revenue, Gross Margin and Market Share (2019-2024)
11.3.4 Pinecone Main Business Overview
11.3.5 Pinecone Latest Developments
11.4 Weaviate
11.4.1 Weaviate Company Information
11.4.2 Weaviate Vector Databases for Generative AI Applications Product Offered
11.4.3 Weaviate Vector Databases for Generative AI Applications Revenue, Gross Margin and Market Share (2019-2024)
11.4.4 Weaviate Main Business Overview
11.4.5 Weaviate Latest Developments
11.5 Canonical
11.5.1 Canonical Company Information
11.5.2 Canonical Vector Databases for Generative AI Applications Product Offered
11.5.3 Canonical Vector Databases for Generative AI Applications Revenue, Gross Margin and Market Share (2019-2024)
11.5.4 Canonical Main Business Overview
11.5.5 Canonical Latest Developments
11.6 OpenSearch
11.6.1 OpenSearch Company Information
11.6.2 OpenSearch Vector Databases for Generative AI Applications Product Offered
11.6.3 OpenSearch Vector Databases for Generative AI Applications Revenue, Gross Margin and Market Share (2019-2024)
11.6.4 OpenSearch Main Business Overview
11.6.5 OpenSearch Latest Developments
11.7 MongoDB
11.7.1 MongoDB Company Information
11.7.2 MongoDB Vector Databases for Generative AI Applications Product Offered
11.7.3 MongoDB Vector Databases for Generative AI Applications Revenue, Gross Margin and Market Share (2019-2024)
11.7.4 MongoDB Main Business Overview
11.7.5 MongoDB Latest Developments
11.8 Elastic
11.8.1 Elastic Company Information
11.8.2 Elastic Vector Databases for Generative AI Applications Product Offered
11.8.3 Elastic Vector Databases for Generative AI Applications Revenue, Gross Margin and Market Share (2019-2024)
11.8.4 Elastic Main Business Overview
11.8.5 Elastic Latest Developments
11.9 Marqo
11.9.1 Marqo Company Information
11.9.2 Marqo Vector Databases for Generative AI Applications Product Offered
11.9.3 Marqo Vector Databases for Generative AI Applications Revenue, Gross Margin and Market Share (2019-2024)
11.9.4 Marqo Main Business Overview
11.9.5 Marqo Latest Developments
11.10 Milvus
11.10.1 Milvus Company Information
11.10.2 Milvus Vector Databases for Generative AI Applications Product Offered
11.10.3 Milvus Vector Databases for Generative AI Applications Revenue, Gross Margin and Market Share (2019-2024)
11.10.4 Milvus Main Business Overview
11.10.5 Milvus Latest Developments
11.11 Snorkel AI
11.11.1 Snorkel AI Company Information
11.11.2 Snorkel AI Vector Databases for Generative AI Applications Product Offered
11.11.3 Snorkel AI Vector Databases for Generative AI Applications Revenue, Gross Margin and Market Share (2019-2024)
11.11.4 Snorkel AI Main Business Overview
11.11.5 Snorkel AI Latest Developments
11.12 Qdrant
11.12.1 Qdrant Company Information
11.12.2 Qdrant Vector Databases for Generative AI Applications Product Offered
11.12.3 Qdrant Vector Databases for Generative AI Applications Revenue, Gross Margin and Market Share (2019-2024)
11.12.4 Qdrant Main Business Overview
11.12.5 Qdrant Latest Developments
11.13 Oracle
11.13.1 Oracle Company Information
11.13.2 Oracle Vector Databases for Generative AI Applications Product Offered
11.13.3 Oracle Vector Databases for Generative AI Applications Revenue, Gross Margin and Market Share (2019-2024)
11.13.4 Oracle Main Business Overview
11.13.5 Oracle Latest Developments
11.14 Microsoft
11.14.1 Microsoft Company Information
11.14.2 Microsoft Vector Databases for Generative AI Applications Product Offered
11.14.3 Microsoft Vector Databases for Generative AI Applications Revenue, Gross Margin and Market Share (2019-2024)
11.14.4 Microsoft Main Business Overview
11.14.5 Microsoft Latest Developments
11.15 AWS
11.15.1 AWS Company Information
11.15.2 AWS Vector Databases for Generative AI Applications Product Offered
11.15.3 AWS Vector Databases for Generative AI Applications Revenue, Gross Margin and Market Share (2019-2024)
11.15.4 AWS Main Business Overview
11.15.5 AWS Latest Developments
11.16 Deep Lake
11.16.1 Deep Lake Company Information
11.16.2 Deep Lake Vector Databases for Generative AI Applications Product Offered
11.16.3 Deep Lake Vector Databases for Generative AI Applications Revenue, Gross Margin and Market Share (2019-2024)
11.16.4 Deep Lake Main Business Overview
11.16.5 Deep Lake Latest Developments
11.17 Fauna
11.17.1 Fauna Company Information
11.17.2 Fauna Vector Databases for Generative AI Applications Product Offered
11.17.3 Fauna Vector Databases for Generative AI Applications Revenue, Gross Margin and Market Share (2019-2024)
11.17.4 Fauna Main Business Overview
11.17.5 Fauna Latest Developments
11.18 Vespa
11.18.1 Vespa Company Information
11.18.2 Vespa Vector Databases for Generative AI Applications Product Offered
11.18.3 Vespa Vector Databases for Generative AI Applications Revenue, Gross Margin and Market Share (2019-2024)
11.18.4 Vespa Main Business Overview
11.18.5 Vespa Latest Developments
12 Research Findings and Conclusion

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