The global Vector Database market is anticipated to grow at a CAGR of 25.6% during the forecast period (2023-2030). The increasing availability of cloud-based vector database solutions: Cloud-based vector database solutions are becoming increasingly popular because they are more scalable and flexible than on-premises solutions. This is making them more attractive to organizations of all sizes. These cloud-based vector database solutions are becoming increasingly popular because they are more scalable and flexible than on-premises solutions. On-premises vector database solutions require organizations to buy and maintain their own computers and software. This can be costly and take a lot of time, especially for small and medium-sized businesses. Cloud-based vector database solutions, on the other hand, are hosted and managed by the cloud provider. This means that organizations do not need to invest in their own computers and software, and they can increase or decrease the size of their database as needed. Cloud-based vector databases are appealing to businesses of all sizes because they can be scaled up or down as needed and are more adaptable than on-premises solutions. For instance, a small startup may not need a large and expensive on-premises vector database. Instead, it can use a cloud-based vector database and scale it up as the company grows.
Browse the full report description of “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)” at https://www.omrglobal.com/industry-reports/vector-database-market
For instance , in July, 2023, Alibaba upgraded its AnalyticDB database with all new vector database engine along with cloud solution support in it. This upgrade enabled various enterprises to access various large language models (LLMs) for building their customized generative AI capabilities.
Market Coverage
• The market number available for – 2022-2030
• Base year- 2022
• Forecast period- 2023-2030
• Segment Covered-
o By Deployment Model
o By Product Type
o By Application
• Regions Covered-
o North America
o Europe
o Asia-Pacific
o Rest of the World
• Competitive Landscape includes Chroma Inc., Eto Labs, Inc., Pinecone Systems, Inc., Milvus., Weaviate, B.V., and others.
Key questions addressed by the report
• What is the market growth rate?
• Which segment and region dominate the market in the base year?
• Which segment and region will project the fastest growth in the market?
• Who is the leader in the market?
• How are players addressing challenges to sustain growth?
• Where is the investment opportunity?
Global Vector Database Market Report Segment
By Deployment Model
By Product Type
By Application
Global Vector Database Market Report Segment by Region
North America
• United States
• Canada
Europe
• UK
• Germany
• Italy
• Spain
• France
• Rest of Europe
Asia-Pacific
• China
• India
• Japan
• South Korea
• Rest of Asia-Pacific
Rest of the World
• Latin America
• Middle East & Africa
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