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분산형 벡터 검색 시스템 시장 보고서(2025년)
Distributed Vector Search System Global Market Report 2025
상품코드 : 1888224
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

분산형 벡터 검색 시스템 시장 규모는 최근 급속히 확대되고 있습니다. 2024년 17억 4,000만 달러로 평가되었고, 2025년에는 20억 7,000만 달러에 달하고, CAGR 19.4%로 성장할 것으로 예상되고 있습니다. 지난 몇 년간의 성장은 데이터 인프라 투자 증가, 온라인 서비스의 고속 정보 검색 수요 증가, 클라우드 기반 스토리지 모델 도입 확대, 업계를 가로지르는 디지털 컨텐츠 제작 급증, 주요 전자상거래 플랫폼 확대, 개인화 및 추천 엔진 활용 확대 등으로 인한 것입니다.

분산형 벡터 검색 시스템 시장 규모는 향후 수년간 빠르게 성장할 것으로 예측됩니다. 2029년에는 41억 5,000만 달러에 달하고, CAGR은 19.0%를 나타낼 전망입니다. 예측 기간의 성장 요인으로는 비정형 디지털 데이터 증가, 기업 내 실시간 분석 필요성 증가, 검색 중심 비즈니스 인텔리전스 도입 확대, 조직 전반에 걸쳐 데이터 구동 의사 결정 급증, 원격 및 디지털 비즈니스 운영에 대한 의존도 증가 등이 있습니다. 예측 기간 동안 예상되는 주요 동향으로는 고성능 벡터 데이터베이스의 기술적 진보, 하이브리드형 벡터 키워드 검색 아키텍처의 진화, 대규모 임베디드 데이터를 위한 메모리 최적화 기술 혁신, 분산형 인덱스 구축 및 내결함성 기능 개발, 프라이버시 보호형 시맨틱 검색 솔루션의 혁신 등이 있습니다.

클라우드 기반 솔루션의 채택 확대가 분산형 벡터 검색 시스템 시장의 성장을 견인하고 있습니다. 클라우드 기반 솔루션은 인터넷을 통해 컴퓨팅 능력, 스토리지 및 용도를 제공하여 On-Premise 인프라의 필요성을 제거합니다. 그 채택 확대는 확장성과 유연성에 의해 촉진되고 있으며, 기업은 엄청난 초기 비용을 들이지 않고 수요에 따라 자원을 조정할 수 있습니다. 분산형 벡터 검색 시스템에서 클라우드 솔루션은 전체 관리 서비스를 통해 운영 복잡성을 줄이면서 대규모 데이터 세트와 높은 쿼리 양을 처리할 수 있는 확장 가능하고 유연한 인프라를 제공합니다. 예를 들어, 2023년 12월 유로스타트가 발표한 데이터는 클라우드 컴퓨팅 서비스를 구매한 기업의 비율이 2021년 41%에서 45.2%로 증가하고 클라우드 기반 인프라에 대한 의존도가 높아지고 있음을 보여줍니다.

주요 시장 기업은 인프라 관리를 최소화하면서 확장성과 개발자의 생산성을 향상시키기 위해 서버리스 벡터 데이터베이스에 주력하고 있습니다. 서버리스 벡터 데이터베이스는 클라우드 네이티브 시스템이며 공급자가 컴퓨팅 및 스토리지 리소스를 동적으로 관리하므로 개발자가 서버나 클러스터를 관리할 필요가 없습니다. 2024년 1월 미국 거점의 벡터 데이터베이스 회사인 Pinecone Systems는 "Pinecone Serverless"를 발표했습니다. 이 완전 관리형 솔루션은 컴퓨팅과 스토리지를 분리하고 유휴 상태에서 리소스를 0으로 스케일 다운하며 쿼리 부하의 급증을 자동으로 처리합니다. 자동 리소스 관리 및 쿼리 단위 요금을 통해 AI 용도는 수동 인프라 설정 없이 효율적으로 실행할 수 있습니다.

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

A distributed vector search system is a technology that stores and retrieves information across multiple servers using numeric data representations known as vectors. It transforms text, images, audio, and other content into vectors, allowing the system to measure similarity and rapidly locate matches within large datasets. This enables fast and accurate search performance for use cases such as image matching, fraud detection, and AI-powered services.

The main search types within distributed vector search systems include text search, image search, video search, and voice search. Text search is a technique for retrieving relevant information by aligning user-entered words or phrases with indexed textual content within a database or system. These systems support organizations of various sizes, including large enterprises as well as small and medium enterprises, and can be deployed through cloud-based, on-premises, or hybrid environments. Key applications include e-commerce search, recommendation systems, social media analytics, image recognition, and natural language processing, serving industry sectors such as banking, financial services, and insurance (BFSI), government and public services, healthcare, information technology (IT) and telecom, and retail.

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

The distributed vector search system market size has grown rapidly in recent years. It will grow from $1.74 billion in 2024 to $2.07 billion in 2025 at a compound annual growth rate (CAGR) of 19.4%. Growth during the historic period can be linked to rising investments in data infrastructure, increasing demand for fast information retrieval in online services, growing adoption of cloud-based storage models, the surge in digital content creation across industries, the expansion of major e-commerce platforms, and greater use of personalization and recommendation engines.

The distributed vector search system market size is expected to see rapid in the next few years. It will grow to $4.15 billion in 2029 at a compound annual growth rate (CAGR) of 19.0%. Growth in the forecast period can be attributed to the increasing volume of unstructured digital data, the rising need for real-time analytics within enterprises, growing adoption of search-driven business intelligence, a surge in data-driven decision-making across organizations, and increasing dependence on remote and digital business operations. Key trends anticipated in the forecast period include technological progress in high-performance vector databases, advancements in hybrid vector-and-keyword search architectures, innovations in memory optimization for large embeddings, developments in distributed indexing and fault-tolerance capabilities, and innovations in privacy-preserving semantic search solutions.

The growing adoption of cloud-based solutions is driving the growth of the distributed vector search system market. Cloud-based solutions deliver computing power, storage, and applications over the internet, eliminating the need for on-premises infrastructure. Their increasing adoption is fueled by scalability and flexibility, enabling businesses to adjust resources on demand without significant upfront costs. In distributed vector search systems, cloud solutions provide scalable and flexible infrastructure capable of handling massive datasets and high query volumes while reducing operational complexity through fully managed services. For example, in December 2023, Eurostat reported that 45.2% of enterprises purchased cloud computing services, up from 41% in 2021, reflecting the increasing reliance on cloud-based infrastructure.

Key market players are focusing on serverless vector databases to improve scalability and developer productivity while minimizing infrastructure management. Serverless vector databases are cloud-native systems where compute and storage resources are dynamically managed by the provider, eliminating the need for developers to manage servers or clusters. In January 2024, Pinecone Systems Inc., a US-based vector database company, launched Pinecone Serverless. This fully managed solution separates compute and storage, scales to zero when idle, and automatically handles spikes in query load. It features automatic resource management and per-query pricing, enabling AI applications to operate efficiently without manual infrastructure setup.

In June 2024, OpenAI acquired Rockset Inc., a US-based cloud-native real-time analytics and vector database company. This acquisition allows OpenAI to leverage Rockset's hybrid search infrastructure supporting vector, text, and metadata search, enhancing retrieval and indexing capabilities while improving enterprise-scale performance and data-access efficiency. Rockset's technology strengthens OpenAI's ability to deliver real-time analytics and distributed vector search at scale.

Major players in the distributed vector search system market are Amazon.com, Google LLC, Microsoft Corporation, Alibaba Group Holding Limited, International Business Machines Corporation, Oracle Corporation, Databricks Inc., Snowflake Inc., MongoDB Inc., Elastic N.V., Redis Ltd., DataStax Inc., SingleStore Inc., Pinecone Systems Inc., Zilliz Ltd., ClickHouse Inc., Weaviate B.V., Qdrant LLC, Vespa Technologies Inc., and MyScale Inc.

North America was the largest region in the distributed vector search system market in 2024. The regions covered in distributed vector search system report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the distributed vector search system market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The distributed vector search system market consists of revenues earned by entities by providing services such as data indexing, vector database management, search optimization, cloud hosting and scaling, managed vector search, and application programming interface (API) integration services. The market value includes the value of related goods sold by the service provider or included within the service offering. The distributed vector search system market also includes sales of vector search engines, vector databases, similarity search tools, real-time retrieval systems, semantic search platforms, and scalable indexing software. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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.

Distributed Vector Search System 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 distributed vector search system 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 distributed vector search system ? 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 distributed vector search system 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. Distributed Vector Search System Market Characteristics

3. Distributed Vector Search System Market Trends And Strategies

4. Distributed Vector Search System 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 Distributed Vector Search System Growth Analysis And Strategic Analysis Framework

6. Distributed Vector Search System Market Segmentation

7. Distributed Vector Search System Market Regional And Country Analysis

8. Asia-Pacific Distributed Vector Search System Market

9. China Distributed Vector Search System Market

10. India Distributed Vector Search System Market

11. Japan Distributed Vector Search System Market

12. Australia Distributed Vector Search System Market

13. Indonesia Distributed Vector Search System Market

14. South Korea Distributed Vector Search System Market

15. Western Europe Distributed Vector Search System Market

16. UK Distributed Vector Search System Market

17. Germany Distributed Vector Search System Market

18. France Distributed Vector Search System Market

19. Italy Distributed Vector Search System Market

20. Spain Distributed Vector Search System Market

21. Eastern Europe Distributed Vector Search System Market

22. Russia Distributed Vector Search System Market

23. North America Distributed Vector Search System Market

24. USA Distributed Vector Search System Market

25. Canada Distributed Vector Search System Market

26. South America Distributed Vector Search System Market

27. Brazil Distributed Vector Search System Market

28. Middle East Distributed Vector Search System Market

29. Africa Distributed Vector Search System Market

30. Distributed Vector Search System Market Competitive Landscape And Company Profiles

31. Distributed Vector Search System Market Other Major And Innovative Companies

32. Global Distributed Vector Search System Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Distributed Vector Search System Market

34. Recent Developments In The Distributed Vector Search System Market

35. Distributed Vector Search System Market High Potential Countries, Segments and Strategies

36. Appendix

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