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Vector Database Market Size

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

Vector Database Market Size

Vector Database Market was valued at USD 1.3 Billion in 2022 and is anticipated to register a CAGR of over 20.5% between 2023 and 2032. AI is propelling the industry by leveraging machine learning and deep learning algorithms that rely on vector-based representations. Vector databases are crucial for AI applications due to their capability to efficiently process and manage high-dimensional data. AI's demand for quick, complex computations and its reliance on vector-based data representations have increased the need for scalable & efficient vector databases, consequently driving market expansion to meet these evolving AI requirements. For instance, in September 2023, Oracle introduced an integrated vector database for generative AI. This database is designed specifically to optimize the performance and storage of vectors, supporting the intricate demands of generative AI algorithms.

 

Cloud platforms fuel the vector database industry. They provide scalable, flexible, and cost-effective environments conducive to managing high-dimensional data. They also offer infrastructure for hosting and managing vector databases, enabling seamless storage, accessibility & processing of complex data. For instance, in September 2023, KX launched KDB.ai Cloud, offering a free, intelligent vector database designed for AI applications. This innovative solution provides a smarter approach to managing high-dimensional data, catering specifically to AI-driven operations and analytics.

 

The high cost of commercial vector databases poses a significant challenge in the global market. It limits accessibility for smaller businesses and restricts widespread adoption due to pricing constraints. Open-source alternatives and emerging startups offer cost-effective solutions, challenging established commercial databases. This competitive landscape is driving a need for more affordable & scalable options, prompting the market to evolve with more accessible pricing models and pushing existing providers to reconsider their pricing strategies to remain competitive & foster broader market penetration.

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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