Vector Database Market Analysis, Size, Share, Latest Trends, Growth, And Forecast Report 2033

The new report published by The Business Research Company, titled ""Vector Database Global Market Report 2024 - Market Size, Trends, And Global Forecast 2024-2033"", delivers an in-depth analysis of the leading size and forecasts, investment opportunities, winning strategies, market drivers and trends, competitive landscape, and evolving market trends.

As per the report, the vector database market size has grown exponentially in recent years. It will grow from $1.98 billion in 2023 to $2.46 billion in 2024 at a compound annual growth rate (CAGR) of 24.3%. The vector database market size is expected to see exponential growth in the next few years. It will grow to $5.76 billion in 2028 at a compound annual growth rate (CAGR) of 23.7%.

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Cloud-Driven Surge Accelerating Growth In The Vector Database Market
The increasing use of cloud platforms is expected to propel the growth of the vector database market in the coming years. A cloud platform is the computer's operating system and components of a server in an Internet-connected data center. It enables hardware and software products to coexist independently and at scale. Vector databases on cloud platforms provide for effective retrieval and storage of high-dimensional data, enabling real-time analytics, deep learning, and tailored content suggestions while using scalable and adaptable infrastructure. For instance, in December 2023, according to Eurostat, a Europe-based intergovernmental organization, 42.5% of EU enterprises used cloud computing in 2023, primarily for hosting their e-mail systems and storing files in electronic form, an increase of 4.2% compared to 2021. Therefore. Therefore, the increasing use of cloud platforms is driving the vector database market.

Transformative Use Of Vector Databases For Generative AI And Enhanced Developer Productivity
Major companies operating in the vector database market are focusing on the integration of vector databases with technologies such as AI vector similarity search to enhance generative AI and substantially boost developer productivity. AI vector similarity search is a technique that involves using artificial intelligence (AI) algorithms to compare and find similarities between vectors in a dataset. For instance, in September 2023, Oracle Corporation, a US-based computer technology company, announced the inclusion of semantic search capabilities employing AI vectors into Oracle Database 23c. The AI Vector Search feature set includes an innovative vector data type, vector indexes, and vector search SQL operators that allow the Oracle Database to store semantic information of pictures, documents, and other unstructured information as vectors and employ these to run fast resemblance queries. AI vector similarity search in Oracle Database 23c provides the integration of search on semantic and business data, resulting in highly accurate responses rapidly and securely. These new capabilities also allow Retrieval Augmented Generation (RAG), a ground-breaking generative AI approach that uses large language models (LLMs) and private corporate data to respond to natural language inquiries.

The vector database market covered in this report is segmented -

1) By Database Type: Relational Vector Databases, NoSQL Vector Databases, NewSQL Vector Databases
2) By Offering: Solutions, Services
3) By Deployment Mode: On-Premises, Cloud-Based
4) By Industry: Financial Services, Healthcare And Life Sciences, Retail And E-Commerce, Manufacturing, Telecommunications, Government And Public Sector, Energy And Utilities, Transportation And Logistics, Media And Entertainment, Other Industries

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Major companies operating in the vector database market report are Google LLC (Alphabet Inc.), Microsoft Corporation, Amazon Web Services Inc., Alibaba Cloud, Elastic N.V., MongoDB Inc., FD Technologies PLC, DataStax Inc., Redis Ltd., Vector AI, GSI Technology Inc., Chroma DB, Vald, SingleStore, OpenSearch, Rockset Inc., PlanetScale, Kinetica DB Inc., Qdrant, ClickHouse Inc., Clarifai Inc., Pinecone Systems Inc., Vespa ai, Marqo AI, Activeloop, Zilliz, Milvus, S2Search Australia Pty Ltd, Weaviate

Contents of the report:
1. Executive Summary
2. Vector Database Market Report Structure
3. Vector Database Market Trends And Strategies
4. Vector Database Market - Macro Economic Scenario
5. Vector Database Market Size And Growth
…..
27. Vector Database Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix

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