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세계의 서비스형 벡터 데이터베이스 시장 보고서(2025년)
Vector Database As A Service Global Market Report 2025
상품코드 : 1888503
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

서비스형 벡터 데이터베이스 시장 규모는 최근 급격히 확대되고 있습니다. 2024년 12억 4,000만 달러로 평가되었고, 2025년에는 16억 2,000만 달러로, CAGR 30.7%로 성장할 전망입니다. 이러한 성장은 AI 및 머신러닝 용도의 도입 확대, 실시간 데이터 처리에 대한 수요 증가, 개인화된 고객 경험에 대한 요구 증가, 클라우드 기반 솔루션의 도입 증가, 확장성이 뛰어난 고성능 데이터베이스 솔루션에 대한 수요 증가 등으로 인한 것입니다.

서비스형 벡터 데이터베이스의 규모는 향후 몇 년 동안 급격한 성장이 예상됩니다. 2029년에는 46억 8,000만 달러에 달하고, CAGR은 30.3%를 나타낼 전망입니다. 예측 기간 동안의 성장 요인으로는 생성형 AI 용도에 대한 관심 증가, 비즈니스 인텔리전스에서의 자연 언어 처리의 활용 확대, AI 기반 추천 엔진의 도입 증가, 데이터 취득에 있어서의 지연 저감에 대한 주목 증가, 빠르고 정확한 시맨틱 검색에 대한 수요 증가 등을 들 수 있습니다. 예측 기간의 주요 동향으로는 기업용 AI 워크플로우와의 통합, 자동화된 데이터 관리 기술의 진보, 고성능 컴퓨팅의 강화된 지원, 의미 검색 기능의 혁신, 저지연 데이터 파이프라인의 통합 등을 들 수 있습니다.

클라우드 기반 솔루션의 채택 확대는 향후 서비스형 벡터 데이터베이스 시장의 성장을 이끌 것으로 예측됩니다. 클라우드 기반 솔루션은 로컬 서버나 개인 단말기가 아닌 인터넷을 통해 제공되고 액세스되는 서비스, 용도 및 스토리지를 의미합니다. 클라우드 기반 솔루션의 보급은 확장성을 통해 촉진되고 있으며, 기업은 수요에 따라 컴퓨팅 리소스를 조정하고 인프라 비용을 줄일 수 있습니다. 서비스형 벡터 데이터베이스는 클라우드 환경 내에서 지능적인 데이터 검색, 개인화 및 AI 기반 분석을 가능하게 하는 고성능의 확장 가능한 벡터 검색 기능을 제공하여 클라우드 기반 솔루션을 강화합니다. 예를 들어 유럽연합(EU)의 집행기관인 유럽위원회에 따르면 2025년 4월 현재 유럽 기업의 클라우드 도입률은 2023년 45.2%에서 2030년까지 75%로 증가할 것으로 예측되고 있습니다. 따라서 클라우드 기반 솔루션의 보급 확대는 서비스형 벡터 데이터베이스 시장의 성장을 지원합니다.

서비스형 벡터 데이터베이스의 주요 기업은 데이터 검색 효율성 향상, 인공지능 기반 인사이트 개선, 대규모 벡터 데이터 세트에서 관련 정보의 신속하고 정확한 검색을 실현하기 위해 검색 확장 생성(RAG) 기술 개발에 주력하고 있습니다. 검색 확장 생성(RAG)은 AI의 응답을 외부 소스에서 얻은 정보와 결합하여 컨텍스트를 인식한 최신 응답을 가능하게 하는 기술을 말합니다. 예를 들어, 2025년 5월에는 미국 기술 기업 테라데이터가 구조화된 데이터와 비구조화된 데이터를 통합하면서 에이전트형 AI 및 RAG 용도에 대해 1초 미만의 응답 시간을 실현하는 데이터베이스 내 솔루션 '엔터프라이즈 벡터 스토어'를 발표했습니다. 이 플랫폼은 대규모 확장성을 갖추고 수십억 개의 벡터를 처리할 수 있으며 NVIDIA의 NeMo Retriever 마이크로서비스와 연동하여 프로덕션 환경을 위한 AI 워크플로우를 강화합니다. 기업용으로 설계된 이 솔루션은 멀티모달 데이터 호환성, 견고한 거버넌스 프레임워크, 유연한 하이브리드/클라우드 배포 옵션을 통해 신뢰할 수 있는 에이전트형 AI를 지원합니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁과 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

SHW
영문 목차

영문목차

Vector database as a service is a cloud-based platform that allows organizations to store, manage, and search high-dimensional vector data generated by machine learning models and AI applications. It offers scalable infrastructure for embedding management, similarity search, and retrieval-augmented generation (RAG) without requiring an on-premises setup. This service facilitates integration with AI workflows, supports real-time inference, and ensures optimized performance for multimodal data, including text, images, and audio.

The key components of vector database as a service are software and services. The software is a cloud-based solution that enables organizations to store, manage, and query high-dimensional vector data for AI, machine learning, and similarity search applications without managing the underlying infrastructure. Deployment options include cloud and on-premises, and it is used by small and medium enterprises as well as large enterprises. The applications include recommendation systems, natural language processing, computer vision, fraud detection, and others, serving various end users such as banking, financial services, and insurance, healthcare, retail and e-commerce, information technology and telecommunications, media and entertainment, and others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.

The vector database as a service market research report is one of a series of new reports from The Business Research Company that provides vector database as a service market statistics, including vector database as a service industry global market size, regional shares, competitors with a vector database as a service market share, detailed vector database as a service market segments, market trends and opportunities, and any further data you may need to thrive in the vector database as a service industry. This vector database as a service market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The vector database as a service market size has grown exponentially in recent years. It will grow from $1.24 billion in 2024 to $1.62 billion in 2025 at a compound annual growth rate (CAGR) of 30.7%. The growth during the historic period can be attributed to increasing adoption of AI and machine learning applications, rising demand for real-time data processing, growing need for personalized customer experiences, increasing deployment of cloud-based solutions, and growing demand for scalable and high-performance database solutions.

The vector database as a service market size is expected to see exponential growth in the next few years. It will grow to $4.68 billion in 2029 at a compound annual growth rate (CAGR) of 30.3%. The growth during the forecast period can be attributed to rising interest in generative AI applications, increased use of natural language processing in business intelligence, greater deployment of AI-based recommendation engines, heightened focus on reducing latency in data retrieval, and growing demand for fast and accurate semantic search. Key trends in the forecast period include integration with enterprise AI workflows, advancements in automated data management, enhanced support for high-performance computing, innovations in semantic search capabilities, and incorporation of low-latency data pipelines.

The increasing adoption of cloud-based solutions is expected to drive the growth of the vector database as a service market going forward. Cloud-based solutions refer to services, applications, or storage delivered and accessed over the internet rather than through local servers or personal devices. The rise in cloud-based solutions is fueled by scalability, allowing businesses to adjust computing resources based on demand and reduce infrastructure costs. Vector database as a service strengthens cloud-based solutions by providing high-performance, scalable vector search capabilities that enable intelligent data retrieval, personalization, and AI-driven analytics within cloud environments. For example, in April 2025, according to the European Commission, a Belgium-based executive body of the European Union, cloud adoption among European businesses is expected to increase from 45.2% in 2023 to 75% by 2030. Therefore, growing adoption of cloud-based solutions is supporting the growth of the vector database as a service market.

Key companies in the vector database as a service market are focusing on developing retrieval-augmented generation (RAG) to enhance data search efficiency, improve AI-driven insights, and enable faster, more accurate retrieval of relevant information from large-scale vector datasets. Retrieval-augmented generation (RAG) refers to a technology that improves AI responses by combining them with information retrieved from external sources, allowing context-aware and up-to-date answers. For instance, in May 2025, Teradata Corporation, a US-based technology company, launched its Enterprise Vector Store, an in-database solution designed to unify structured and unstructured data while delivering sub-second response times for agentic-AI and RAG applications. The platform is built for massive scalability, capable of handling billions of vectors, and integrates with NVIDIA's NeMo Retriever microservices to enhance production-ready AI workflows. Designed for enterprises, it supports trusted agentic AI with multi-modal data compatibility, robust governance frameworks, and flexible hybrid or cloud deployment options.

In October 2025, Elastic N.V., a Netherlands-based search and data analytics company, acquired Jina AI GmbH for an undisclosed amount. Through this acquisition, Elastic N.V. aims to strengthen its AI and search capabilities by integrating Jina AI GmbH's expertise in neural search and vector-based retrieval, enabling advanced, scalable, and intelligent search solutions across enterprise applications while accelerating innovation in AI-powered data discovery and analysis. Jina AI GmbH is a Germany-based company specializing in vector database as a service.

Major players in the vector database as a service market are Google LLC, Alibaba Group Holding Limited, Amazon Web Services Inc., Oracle Corporation, MongoDB Inc., Elastic N.V., Redis Ltd., Cockroach Labs Inc., SingleStore Inc., Yugabyte, Zilliz Inc., Pinecone Systems Inc., Azure AI Search, Vespa.ai AS, Weaviate B.V, Qdrant Solutions GmbH, Marqo, Tigris Data Inc., Chroma, and Valkey.

North America was the largest region in the vector database as a service market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in vector database as a service report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the vector database as a service market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The vector database as a service market includes revenues earned by entities by providing services such as vector storage management services, embedding generation services, vector indexing services, similarity search services, and multimodal data integration services. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Vector Database As A Service Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on vector database as a service market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for vector database as a service ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The vector database as a service market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. Vector Database As A Service Market Characteristics

3. Vector Database As A Service Market Trends And Strategies

4. Vector Database As A Service Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Vector Database As A Service Growth Analysis And Strategic Analysis Framework

6. Vector Database As A Service Market Segmentation

7. Vector Database As A Service Market Regional And Country Analysis

8. Asia-Pacific Vector Database As A Service Market

9. China Vector Database As A Service Market

10. India Vector Database As A Service Market

11. Japan Vector Database As A Service Market

12. Australia Vector Database As A Service Market

13. Indonesia Vector Database As A Service Market

14. South Korea Vector Database As A Service Market

15. Western Europe Vector Database As A Service Market

16. UK Vector Database As A Service Market

17. Germany Vector Database As A Service Market

18. France Vector Database As A Service Market

19. Italy Vector Database As A Service Market

20. Spain Vector Database As A Service Market

21. Eastern Europe Vector Database As A Service Market

22. Russia Vector Database As A Service Market

23. North America Vector Database As A Service Market

24. USA Vector Database As A Service Market

25. Canada Vector Database As A Service Market

26. South America Vector Database As A Service Market

27. Brazil Vector Database As A Service Market

28. Middle East Vector Database As A Service Market

29. Africa Vector Database As A Service Market

30. Vector Database As A Service Market Competitive Landscape And Company Profiles

31. Vector Database As A Service Market Other Major And Innovative Companies

32. Global Vector Database As A Service Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Vector Database As A Service Market

34. Recent Developments In The Vector Database As A Service Market

35. Vector Database As A Service Market High Potential Countries, Segments and Strategies

36. Appendix

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