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Vector Database Market Trends

  • Report ID: GMI7334
  • Published Date: Nov 2023
  • Report Format: PDF

Vector Database Market Trends

The rise of open-source vector database solutions signifies a shift toward accessible and community-driven innovation. These platforms offer cost-effective alternatives to commercial databases, attracting users seeking scalable, customizable & transparent solutions. Community contributions drive continual improvements, expanding functionality and fostering collaborative innovation. This trend challenges established proprietary databases, encouraging the market's evolution toward more affordable, adaptable & community-supported vector database options that cater to a broader user base across various industries. For instance, in February 2023, Qdrant Solutions introduced a managed cloud platform for an open-source vector search database, streamlining accessibility and scalability. This launch simplifies database utilization & management for users, enhancing efficiency and enabling easy deployment in cloud environments.
 

The focus on real-time analytics is an emerging trend in vector databases, driving the development of databases capable of swift data processing. Businesses increasingly demand instantaneous insights and decision-making from high-dimensional data. Consequently, vector databases are evolving to swiftly process and analyze large datasets in real-time. This trend leads to the creation of databases optimized for rapid querying and analysis, meeting the demand for instant data-driven decision-making, particularly in industries requiring quick, dynamic insights. For instance, in October 2023, SingleStore introduced new features focused on real-time AI by incorporating vector search capabilities, an advanced compute layer, and integrations. These enhancements enable users to create real-time generative applications, further advancing their AI-driven operations and analytics.

Authors: Preeti Wadhwani

Frequently Asked Questions (FAQ) :

The market size for vector database was valued at USD 1.3 Billion in 2022 and is anticipated to register a CAGR of over 20.5% between 2023 and 2032, favored by the surge of AI is leverages machine learning and deep learning algorithms that rely on vector-based representations.

The Natural Language Processing (NLP) segment accounted for a market share of around 45% in 2022 and will keep growing as it uses high-dimensional data handling.

North America accounted for a market share of around 35% in 2022 and is poised for substantial growth through 2032 due to expanding AI & ML applications across various industries in the region.

DataStax, KX, Marqo AI, MongoDB, Milvus, Pinecone, Qdrant, Redis, and Zilliz.

Vector Database Market Scope

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Premium Report Details

  • Base Year: 2022
  • Companies covered: 20
  • Tables & Figures: 293
  • Countries covered: 21
  • Pages: 220
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