세계의 벡터 인덱스 최적화 시장 보고서(2025년)
Vector Index Optimization Global Market Report 2025
상품코드 : 1888510
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

벡터 인덱스 최적화 시장의 규모는 최근 급격히 확대되고 있습니다. 2024년의 13억 7,000만 달러에서 2025년에는 17억 2,000만 달러로, CAGR 25.8%로 성장할 전망입니다. 지난 수년간의 성장은 기업의 데이터 분석 도입 확대, 효율적인 데이터 검색 솔루션에 대한 수요 증가, 데이터베이스 관리에서 AI 및 머신러닝 활용 확대, 클라우드 기반 데이터 스토리지 시스템의 보급, 검색 및 추천 엔진에 대한 의존도 증가 등이 요인으로 추측됩니다.

벡터 인덱스 최적화 시장의 규모는 향후 수년간 급격한 성장이 예상됩니다. 2029년에는 42억 5,000만 달러에 달하고, CAGR은 25.4%를 나타낼 전망입니다. 예측 기간의 성장 요인으로는 의미 검색 및 컨텍스트 이해에 대한 수요 증가, 클라우드 네이티브 및 확장 가능한 데이터베이스 솔루션의 도입 확대, 비즈니스 인텔리전스에서 멀티모달 데이터의 이용 확대, AI 모델 성능 최적화에 대한 주목 증가, 추천 시스템에서의 벡터 임베디드 이용 증가 등이 있습니다. 예측 기간의 주요 추세로는 기술 진보, 지속적인 혁신, R&D 투자, 하이브리드 벡터 데이터베이스 아키텍처 개발, AI 기반 데이터 인덱스 기술의 발전 등이 있습니다.

향후 수년간 공간 데이터 분석에 대한 수요 증가는 벡터 인덱스 최적화 시장의 성장을 이끌 것으로 예측됩니다. 공간 데이터 분석은 지리적 또는 위치 정보를 기반으로 데이터를 검증하고 패턴, 관계, 동향을 식별하는 기술입니다. 조직이 데이터 중심의 의사 결정과 업무 효율화를 지원하는 위치 정보를 기반으로 한 지식을 추구함에 따라 수요가 증가하고 있습니다. 첨단 벡터 인덱스 최적화 기술은 복잡한 지리공간 데이터 세트의 빠른 검색 및 처리를 가능하게 하고 공간 쿼리의 효율성과 정밀도를 향상시켜 이 수요에 부응하는 역할을 합니다. 예를 들어 Gov.uk에 따르면 2022년과 2023년에 215개 지리공간기업이 보고한 매출 데이터를 바탕으로 2023년 시점에서 지리공간 부문의 연간 시장의 규모는 최소 76억 달러(60억 파운드)로 추정되었습니다. 따라서 공간 데이터 분석에 대한 수요 증가는 벡터 인덱스 최적화 시장의 성장을 가속화하고 있습니다.

벡터 인덱스 최적화 시장의 주요 기업은 엣지 기반 벡터 검색 엔진과 같은 기술 혁신에 초점을 맞추어 검색 정확도 향상, 쿼리 처리 속도 향상, AI 기반 용도를 위한 고차원 데이터의 효율적인 처리를 실현하고 있습니다. 벡터 검색 엔진은 전통적인 키워드 매칭이 아닌 고차원 벡터 표현의 유사성을 기반으로 정보를 검색하는 전문 시스템입니다. 예를 들어, 2025년 7월에는 AI 용도를 위한 고성능 벡터 데이터베이스를 개발하는 기업인 독일 Qdrant Solutions GmbH가 로봇, POS 시스템, 홈 어시스턴트, 휴대폰 등의 디바이스를 위한 경량의 내장형 벡터 검색 엔진인 Qdrant Edge를 발표했습니다. 이 솔루션을 통해 개발자는 서버 프로세스나 백그라운드 스레드 없이 엣지 장치에서 하이브리드 검색 및 멀티모달 검색을 로컬로 실행할 수 있습니다. 주요 기능에는 프로세스 내 실행, 고급 필터링, 실시간 에이전트 워크로드와의 호환성이 포함됩니다. 이러한 진보는 신속하고 정확한 데이터 획득이 의사결정을 향상시키는 의료와 같은 업계에서 특히 가치가 있지만, 기존 인프라와의 통합 및 데이터 프라이버시 컴플라이언스 확보에는 여전히 과제가 남아 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 및 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 시장의 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

CSM
영문 목차

영문목차

Vector index optimization refers to techniques and strategies used to enhance the efficiency, size, and speed of data structures (vector indexes) that organize and search complex, high-dimensional data represented as vectors. The objective is to reduce memory usage, lower latency, and scale search performance, particularly for operations such as similarity search or nearest neighbor queries over massive datasets, which are common in AI, machine learning, and search applications.

The key components of vector index optimization are software, hardware, and services. Software includes advanced indexing algorithms and optimization tools that improve the efficiency and accuracy of similarity searches across high-dimensional vector data, enabling faster retrieval and better performance in AI-driven applications. These solutions are deployed through on-premises and cloud models and support a variety of applications, including search engines, recommendation systems, natural language processing, computer vision, and others. The primary end-users include banking, financial services, and insurance (BFSI), healthcare, retail and e-commerce, information technology (IT) 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 index optimization market research report is one of a series of new reports from The Business Research Company that provides vector index optimization market statistics, including vector index optimization industry global market size, regional shares, competitors with a vector index optimization market share, detailed vector index optimization market segments, market trends and opportunities, and any further data you may need to thrive in the vector index optimization industry. This vector index optimization 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 index optimization market size has grown exponentially in recent years. It will grow from $1.37 billion in 2024 to $1.72 billion in 2025 at a compound annual growth rate (CAGR) of 25.8%. The growth in the historic period can be attributed to increasing adoption of data analytics in enterprises, rising demand for efficient data retrieval solutions, growing use of AI and ML in database management, expansion of cloud-based data storage systems, and increasing reliance on search and recommendation engines.

The vector index optimization market size is expected to see exponential growth in the next few years. It will grow to $4.25 billion in 2029 at a compound annual growth rate (CAGR) of 25.4%. The growth in the forecast period can be attributed to rising demand for semantic search and contextual understanding, increasing adoption of cloud-native and scalable database solutions, expanding use of multimodal data in business intelligence, growing focus on optimizing AI model performance, and rising utilization of vector embeddings in recommendation systems. Key trends in the forecast period include technological advancements, continuous innovation, investment in research and development, development of hybrid vector-database architectures, and advancements in AI-driven data indexing.

The rising demand for spatial data analysis is expected to drive growth in the vector index optimization market in the coming years. Spatial data analysis involves examining geographic or location-based data to identify patterns, relationships, and trends. Demand is increasing as organizations seek location-based insights to support data-driven decision-making and operational efficiency. Advanced vector index optimization techniques help meet this demand by enabling faster retrieval and processing of complex geospatial datasets, improving the efficiency and accuracy of spatial queries. For example, in 2023, according to Gov.uk, based on turnover data reported by 215 geospatial companies for 2022 and 2023, the geospatial sector was estimated to be valued at a minimum of $7.6 billion (£6 billion) per year. Therefore, the rising demand for spatial data analysis is fueling the growth of the vector index optimization market.

Key companies in the vector index optimization market are focusing on technological innovations, such as edge-based vector search engines, to enhance search accuracy, improve query processing speed, and enable efficient handling of high-dimensional data for AI-driven applications. A vector search engine is a specialized system that retrieves information based on the similarity of high-dimensional vector representations rather than traditional keyword matching. For instance, in July 2025, Qdrant Solutions GmbH, a Germany-based developer of high-performance vector databases for AI applications, launched Qdrant Edge, a lightweight, embedded vector search engine for devices such as robots, point-of-sale systems, home assistants, and mobile phones. This solution allows developers to run hybrid and multimodal searches locally on edge devices without a server process or background threads. Key features include in-process execution, advanced filtering, and compatibility with real-time agent workloads. These advancements are particularly valuable in industries such as healthcare, where rapid and precise data retrieval can enhance decision-making, although challenges remain in integrating these technologies with existing infrastructure and ensuring data privacy compliance.

In October 2025, Elastic N.V., a Netherlands-based provider of enterprise search, observability, and cybersecurity solutions, acquired Jina AI for an undisclosed amount. Through this acquisition, Elastic aims to enhance its Search AI capabilities by integrating Jina AI's multimodal and multilingual model technologies, delivering more contextually aware and scalable AI-driven search experiences. Jina AI GmbH, based in Germany, provides an open-source, cloud-based search foundation for multimodal AI applications.

Major players in the vector index optimization market are Amazon Web Services Inc., Google LLC, Microsoft Corporation, Meta Platforms Inc., Alibaba Group Holding Limited, International Business Machines Corporation (IBM), Oracle Corporation, Elastic N.V., Redis Inc., Chroma Labs Inc., Searce Inc., SingleStore Inc., Pinecone Systems Inc., Zilliz Inc., Preferred Networks Inc., Qdrant Solutions GmbH, Vespa Technologies Inc., Weaviate B.V., Turbopuffer, and Cockroach Labs Inc.

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

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

The vector index optimization market includes revenues earned by providing services such as integration services, managed services, cloud-based vector indexing services, scalability planning services, and algorithm tuning services. The market value includes the value of related goods sold by the service provider or included within the service offering. The vector index optimization market also includes sales of vector compression tools, data preprocessing tools, cross-platform vector integration tools, security and encryption tools, and benchmarking tools. 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.

Vector Index Optimization 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 index optimization 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 index optimization ? 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 index optimization 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 Index Optimization Market Characteristics

3. Vector Index Optimization Market Trends And Strategies

4. Vector Index Optimization 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 Index Optimization Growth Analysis And Strategic Analysis Framework

6. Vector Index Optimization Market Segmentation

7. Vector Index Optimization Market Regional And Country Analysis

8. Asia-Pacific Vector Index Optimization Market

9. China Vector Index Optimization Market

10. India Vector Index Optimization Market

11. Japan Vector Index Optimization Market

12. Australia Vector Index Optimization Market

13. Indonesia Vector Index Optimization Market

14. South Korea Vector Index Optimization Market

15. Western Europe Vector Index Optimization Market

16. UK Vector Index Optimization Market

17. Germany Vector Index Optimization Market

18. France Vector Index Optimization Market

19. Italy Vector Index Optimization Market

20. Spain Vector Index Optimization Market

21. Eastern Europe Vector Index Optimization Market

22. Russia Vector Index Optimization Market

23. North America Vector Index Optimization Market

24. USA Vector Index Optimization Market

25. Canada Vector Index Optimization Market

26. South America Vector Index Optimization Market

27. Brazil Vector Index Optimization Market

28. Middle East Vector Index Optimization Market

29. Africa Vector Index Optimization Market

30. Vector Index Optimization Market Competitive Landscape And Company Profiles

31. Vector Index Optimization Market Other Major And Innovative Companies

32. Global Vector Index Optimization Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Vector Index Optimization Market

34. Recent Developments In The Vector Index Optimization Market

35. Vector Index Optimization Market High Potential Countries, Segments and Strategies

36. Appendix

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