Global Vector Database Market 2023-2030

Description

List of Tables

Global Vector Database Market Size, Share & Trends Analysis Report by Deployment Model (On-Premises, and Cloud Based), by Product Type (Open Source, and Proprietary), and by Application (Natural Language Processing (NLP), Computer Vision, Recommendation Systems, Image and Video Recognition, Biometrics and Anomaly Detection, and Others), Forecast Period (2023-2030)

The global vector database market is anticipated to grow at a CAGR of 25.6% during the forecast period (2023-2030). A vector database is a type of database that stores data as high-dimensional vectors. Vectors are mathematical representations of objects or data points in a multi-dimensional space. Each vector has a certain number of dimensions, which can range from tens to thousands, depending on the complexity and granularity of the data. The growing demand for real-time analytics and decision-making is one of the major drivers for the market. Businesses are increasingly demanding real-time analytics and decision-making. Vector databases are well-suited for real-time analytics because they can process large volumes of data efficiently. This makes them ideal for applications such as fraud detection, risk assessment, and personalized recommendations.

Segmental Outlook

The global vector database market is segmented on the deployment model, product type, and applications. Based on the deployment model, the market is sub-segmented into on-premises and cloud-based. Based on the product type, the market is sub-segmented into open-source, and proprietary. Further, on the basis of applications, the market is sub-segmented into natural language processing (NLP), computer vision, recommendation systems, image and video recognition, biometrics and anomaly detection, and others.

The NLP Sub-Segment is Anticipated to Hold a Considerable Share of the Global Vector Database Market

Among the applications, the NLP sub-segment is expected to hold a considerable share of the global vector database market. The growth of the segment is due to various reasons. The primary reason for the major hold of the market by NLP is the rapid growth of AI which is being used in vector databases. For example, vector databases are used to store and retrieve word embeddings, which are dense vector representations of words that capture their meaning and relationships to other words. Word embeddings are used in a wide range of NLP tasks such as text classification, sentiment analysis, and machine translation. The second reason is the increase in the wide range of industries such as healthcare, finance, retail, and others.

Regional Outlook

The global vector database market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America. Among these, North America is anticipated to hold a prominent share of the market across the globe, because of heavy increase in the use of technology and that to in the heavy demand of artificial intelligence and increase in funding as well. For instance, in August 2022, Vector database company Zilliz announced a $60 million extension of its initial $43 million Series B round, bringing its total funding to $113 million.

The Asia-Pacific Region is Expected to Grow at a Significant CAGR in the Global Vector Database Market

Among all regions, the Asia-Pacific regions is anticipated to grow at a considerable CAGR over the forecast period. The Asia Pacific region is home to a number of innovative companies that are developing and deploying vector database solutions. For example, Pinecone, a Chinese company developed a cloud-based vector database platform that is used by a variety of companies, including Google and Alibaba Cloud. Another example is Weaviate, a Norwegian company that developed a vector database platform that is used by a variety of companies, including Spotify and Disney. Hence, there is considerable shift of the country towards the adoption of the Vector Database market solutions.

The growing number of innovative companies in the Asia Pacific region is helping to drive the growth of the vector database market. By developing innovative vector database solutions, these companies are making it easier for organizations to adopt and use vector databases.

Market Players Outlook

The major companies serving the vector database market include Chroma Inc., Eto Labs, Inc., Pinecone Systems, Inc., Milvus., Weaviate, B.V., and others. The market players are considerably contributing to the market growth by the adoption of various strategies including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market. For instance, in August 2023, KX, unveiled the Early Access Program for KDB.AI. The program taught how to seamlessly handle both structured and unstructured data, KDB.AI empowered real-time processing, enabling sliding window search for time-series-based vector search. Its stateful approach caters to various applications, providing native support for large language models (LLMs) and machine learning workflows.

The Report Covers:

Market value data analysis of 2022 and forecast to 2030.
Annualized market revenues ($ million) for each market segment.
Country-wise analysis of major geographical regions.
Key companies operating in the global vector database market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
Analysis of market-entry and market expansion strategies.
Competitive strategies by identifying 'who-stands-where' in the market.

Product Code: OMR2027933

1. Report Summary

Current Industry Analysis and Growth Potential Outlook
1.1. Research Methods and Tools
1.2. Market Breakdown
- 1.2.1. By Segments
- 1.2.2. By Region

2. Market Overview and Insights

2.1. Scope of the Report
2.2. Analyst Insight & Current Market Trends
- 2.2.1. Key Findings
- 2.2.2. Recommendations
- 2.2.3. Conclusion

3. Competitive Landscape

3.1. Key Company Analysis
3.2. Chroma Inc.
- 3.2.1. Overview
- 3.2.2. Financial Analysis
- 3.2.3. SWOT Analysis
- 3.2.4. Recent Developments
3.3. Eto Labs, Inc.
- 3.3.1. Overview
- 3.3.2. Financial Analysis
- 3.3.3. SWOT Analysis
- 3.3.4. Recent Developments
3.4. Pinecone Systems, Inc.
- 3.4.1. Overview
- 3.4.2. Financial Analysis
- 3.4.3. SWOT Analysis
- 3.4.4. Recent Developments
3.5. Milvus.
- 3.5.1. Overview
- 3.5.2. Financial Analysis
- 3.5.3. SWOT Analysis
- 3.5.4. Recent Developments
3.6. Weaviate, B.V.
- 3.6.1. Overview
- 3.6.2. Financial Analysis
- 3.6.3. SWOT Analysis
- 3.6.4. Recent Developments
3.7. Key Strategy Analysis

4. Market Segmentation

4.1. Global Vector Database Market by Deployment Model
- 4.1.1. On-Premises
- 4.1.2. Cloud Based
4.2. Global Vector Database Market by Product Type
- 4.2.1. Open Source
- 4.2.2. Proprietary
4.3. Global Vector Database Market by Application
- 4.3.1. Natural Language Processing (NLP)
- 4.3.2. Computer Vision
- 4.3.3. Recommendation Systems
- 4.3.4. Image and Video Recognition
- 4.3.5. Biometrics and Anomaly Detection
- 4.3.6. Others (Drug Discovery, Supply Chain Optimization)

5. Regional Analysis

5.1. North America
- 5.1.1. United States
- 5.1.2. Canada
5.2. Europe
- 5.2.1. UK
- 5.2.2. Germany
- 5.2.3. Italy
- 5.2.4. Spain
- 5.2.5. France
- 5.2.6. Rest of Europe
5.3. Asia-Pacific
- 5.3.1. China
- 5.3.2. India
- 5.3.3. Japan
- 5.3.4. South Korea
- 5.3.5. Rest of Asia-Pacific
5.4. Rest of the World

6. Company Profiles

6.1. Activeloop
6.2. Alibaba Cloud
6.3. Amazon Web Services, Inc.
6.4. Clarifai, Inc.
6.5. ClickHouse, Inc.
6.6. DataStax, Inc.
6.7. Elasticsearch, Inc.
6.8. FD Technologies PLC
6.9. Google
6.10. GSI Technology, Inc.
6.11. Kinetica DB, Inc.
6.12. Microsoft
6.13. MongoDB, Inc.
6.14. Qdrant
6.15. Redis Ltd.
6.16. Rockset, Inc.
6.17. S2Search Australia Pty Ltd
6.18. SingleStore, Inc.
6.19. Zilliz, Inc.