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세계의 비디오용 실시간 벡터 데이터베이스 시장 보고서(2025년)
Real-Time Vector Database For Video Global Market Report 2025
상품코드 : 1888405
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

비디오용 실시간 벡터 데이터베이스 시장 규모는 최근 급격히 확대되고 있습니다. 2024년 13억 2,000만 달러에서 2025년에는 16억 2,000만 달러에 달하고, CAGR 22.6%를 나타낼 것으로 예상되고 있습니다. 이 성장은 IoT 디바이스의 보급 확대, 컨텍스트 인식 시스템에 대한 수요 증가, 스마트 시티에서의 센서 통합의 진전, 모바일 접속의 확대, 행동 분석에서의 AI 활용 증가 등의 요인에 기인하고 있습니다.

비디오용 실시간 벡터 데이터베이스 시장 규모는 향후 수년간 급격한 성장이 예상됩니다. 2029년에는 36억 2,000만 달러에 달하며 CAGR은 22.3%를 나타낼 전망입니다. 예측 기간의 성장은 5G 네트워크의 확장, 스마트 인프라 투자 증가, 엣지 컴퓨팅 보급 확대, 실시간 데이터 분석 확대, 개인화된 환경 경험에 대한 수요 증가로 인한 것일 수 있습니다. 예측 기간의 주요 동향으로는 AI와 머신러닝의 기술적 진보, 센서 퓨전과 엣지 분석의 혁신, 실시간 데이터 처리 플랫폼의 연구 개발, 공간 지능의 연구 개발, 인간과 기계의 상호 작용 시스템의 진보가 포함됩니다.

동영상 컨텐츠 소비 증가는 향후 비디오용 실시간 벡터 데이터베이스 시장의 성장을 이끌 것으로 예측됩니다. 동영상 컨텐츠 소비란 엔터테인먼트, 교육, 정보 목적으로 동영상 미디어를 시청, 스트리밍 또는 조작하는 행위를 의미합니다. 이러한 급격한 증가는 세계 시청자가 동영상 스트리밍에 소요되는 시간이 늘어나고 컨텐츠 제작자가 대규모의 복잡한 동영상 라이브러리를 생성함으로써 추진되고 있습니다. 비디오용 실시간 벡터 데이터베이스는 방대한 비디오 컬렉션을 즉시 인덱싱, 검색 및 분석할 수 있는 시스템을 제공함으로써 이러한 성장을 지원하여 컨텐츠 기반 검색, 추천, 유사성 감지 등의 기능을 가능하게 합니다. 예를 들어, 2024년 2월 스페인 동영상 스트리밍 분석기업 NPAW가 발표한 바에 따르면, 2023년 사용자 1일당 시청 시간은 2022년 대비 12% 증가했습니다. 따라서 동영상 컨텐츠의 소비 확대가 비디오용 실시간 벡터 데이터베이스 시장의 성장을 가속하고 있습니다.

비디오용 실시간 벡터 데이터베이스 시장의 주요 기업은 비디오 임베디드 데이터의 즉각적인 인덱싱, 검색 및 분석을 가능하게 하는 실시간 벡터 캡처와 같은 고급 데이터베이스 솔루션의 개발에 주력하고 있습니다. 이러한 솔루션은 저지연 유사성 검색, 패턴 인식, AI 기반 생성 용도를 제공합니다. 실시간 벡터 캡처는 동영상 및 멀티미디어 스트림에서 고차원 벡터 데이터를 즉시 검색, 처리, 저장하여 검색, 분석 및 지능형 자동화에 즉시 사용할 수 있도록 하는 것을 의미합니다. 예를 들어, 2024년 3월에는 미국에 본사를 둔 분석 데이터베이스 기업인 키네티카 DB사가 실시간 벡터 유사성 검색 엔진 'Kinetica 7.2'를 발표했습니다. 본 제품은 GPU 가속 벡터 유사성 검색을 탑재하여 주요 경쟁 제품에 비해 최대 5배 빠른 벡터 임베디드 데이터 수집을 실현. 데이터 지연을 최소화하는 프로그레시브 인덱싱을 지원하여 인덱싱된 데이터와 인덱싱되지 않은 데이터를 모두 쿼리할 수 있습니다. 이러한 혁신은 캡처 속도 향상, 쿼리 지연 감소 및 서비스 제공업체의 운영 비용 절감을 통해 동영상에서 가져온 임베디드 데이터의 지수 증가를 관리하는 공급업체의 주요 과제를 해결합니다.

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

KTH
영문 목차

영문목차

A real-time vector database for video is a system that stores and retrieves video data as vector embeddings, enabling instant similarity search and indexing. It supports continuous updates so that newly added video frames or clips become immediately searchable, powering applications such as content recommendation, video deduplication, and scene-based retrieval with low latency.

The key components of a real-time vector database for video include software, hardware, and services. Software encompasses database management systems, vector indexing engines, and analytics platforms built to store, process, and retrieve high-dimensional video data in real time. Deployment modes include on-premises and cloud. Key applications include video surveillance, content recommendation, video analytics, media and entertainment, security and defense, and others, and they are utilized by various end users such as media and entertainment, banking, financial services and insurance (BFSI), healthcare, retail and e-commerce, information technology (IT) and telecommunications, and additional sectors.

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 real time vector database for video market research report is one of a series of new reports from The Business Research Company that provides real time vector database for video market statistics, including the real time vector database for video industry global market size, regional shares, competitors with the real time vector database for video market share, detailed real time vector database for video market segments, market trends, and opportunities, and any further data you may need to thrive in the real time vector database for video industry. This real time vector database for video 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 real-time vector database for video market size has grown exponentially in recent years. It will grow from $1.32 billion in 2024 to $1.62 billion in 2025 at a compound annual growth rate (CAGR) of 22.6%. The growth in the historic period can be linked to the increasing adoption of IoT devices, growing demand for context-aware systems, rising integration of sensors within smart cities, the expansion of mobile connectivity, and the increasing use of AI for behavioral analytics.

The real-time vector database for video market size is expected to see exponential growth in the next few years. It will grow to $3.62 billion in 2029 at a compound annual growth rate (CAGR) of 22.3%. The growth in the forecast period can be driven by expanding deployment of 5G networks, rising investment in smart infrastructure, increasing adoption of edge computing, the expansion of real-time data analytics, and growing demand for personalized ambient experiences. Major trends in the forecast period include technological advancements in AI and machine learning, innovations in sensor fusion and edge analytics, developments in real-time data processing platforms, research and development in spatial intelligence, and advancements in human-machine interaction systems.

The rise in video content consumption is expected to drive the growth of the real-time vector database market for video applications moving forward. Video content consumption refers to the act of watching, streaming, or interacting with video media for entertainment, education, or information purposes. This rapid increase is driven by more viewers worldwide spending longer hours streaming video and content creators generating larger and more complex video libraries. Real-time vector databases for video applications support this growth by providing systems that can index, retrieve, and analyze massive video collections instantly, enabling functions such as content-based search, recommendation, and similarity detection. For example, in February 2024, NPAW, a Spain-based video streaming analytics company, reported that daily time spent by users increased by 12% in 2023 compared with 2022. Therefore, the growing consumption of video content is fueling the growth of the real-time vector database market for video applications.

Major companies in the real-time vector database market for video applications are focusing on developing advanced database solutions, such as real-time vector ingestion, to enable instant indexing, retrieval, and analysis of video embeddings. These solutions facilitate low-latency similarity search, pattern recognition, and AI-driven generative applications. Real-time vector ingestion refers to the immediate capture, processing, and storage of high-dimensional vector data from video or multimedia streams, making it instantly available for search, analytics, and intelligent automation. For instance, in March 2024, Kinetica DB Inc., a US-based analytics database company, introduced Kinetica 7.2, a real-time vector similarity search engine featuring GPU-accelerated vector similarity search that ingests vector embeddings up to five times faster than leading alternatives, supports progressive indexing to minimize data latency, and enables queries on both indexed and non-indexed data. These innovations address key supply-side challenges in managing the exponential growth of video-derived embeddings by enhancing ingestion speed, reducing query latency, and lowering operational costs for service providers.

In June 2024, OpenAI Inc., a US-based artificial intelligence (AI) research and deployment organization, acquired Rockset Inc. for an undisclosed amount. Through this acquisition, OpenAI aims to enhance its retrieval infrastructure and real-time vector database capabilities, enabling faster and more accurate indexing, retrieval, and hybrid search of vectors, text, documents, and time-series data to support large language models and AI applications. Rockset Inc. is a US-based technology company that offered a real-time search and analytics database built for the cloud, including robust, integrated vector search capabilities.

Major players in the real-time vector database for video market are Elasticsearch, SingleStore Inc., Timescale Inc., Pinecone Inc., Redis Ltd., Kinetica Inc., Vald, Zilliz Inc., TileDB Inc., Vespa, Milvus, Rockset Inc., OpenSearch Project, Relevance AI Inc., Qdrant Inc., Weaviate B.V., Lantern Inc., Chroma Inc., Vectara Inc., Tigris Inc.

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

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

The real time vector database for video market consists of revenues earned by entities by providing systems such as high dimensional vector representations, enabling instant retrieval, similarity search, pattern recognition and intelligent querying. The market value includes the value of related goods sold by the service provider or included within the service offering. The real time vector database for video market also includes sales of high-speed networking equipment, edge computing devices, artificial intelligence (AI) accelerator cards, video capture hardware, real-time processing appliances. 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.

Real-Time Vector Database For Video 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 real-time vector database for video 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 real-time vector database for video ? 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 real-time vector database for video 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. Real-Time Vector Database For Video Market Characteristics

3. Real-Time Vector Database For Video Market Trends And Strategies

4. Real-Time Vector Database For Video 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 Real-Time Vector Database For Video Growth Analysis And Strategic Analysis Framework

6. Real-Time Vector Database For Video Market Segmentation

7. Real-Time Vector Database For Video Market Regional And Country Analysis

8. Asia-Pacific Real-Time Vector Database For Video Market

9. China Real-Time Vector Database For Video Market

10. India Real-Time Vector Database For Video Market

11. Japan Real-Time Vector Database For Video Market

12. Australia Real-Time Vector Database For Video Market

13. Indonesia Real-Time Vector Database For Video Market

14. South Korea Real-Time Vector Database For Video Market

15. Western Europe Real-Time Vector Database For Video Market

16. UK Real-Time Vector Database For Video Market

17. Germany Real-Time Vector Database For Video Market

18. France Real-Time Vector Database For Video Market

19. Italy Real-Time Vector Database For Video Market

20. Spain Real-Time Vector Database For Video Market

21. Eastern Europe Real-Time Vector Database For Video Market

22. Russia Real-Time Vector Database For Video Market

23. North America Real-Time Vector Database For Video Market

24. USA Real-Time Vector Database For Video Market

25. Canada Real-Time Vector Database For Video Market

26. South America Real-Time Vector Database For Video Market

27. Brazil Real-Time Vector Database For Video Market

28. Middle East Real-Time Vector Database For Video Market

29. Africa Real-Time Vector Database For Video Market

30. Real-Time Vector Database For Video Market Competitive Landscape And Company Profiles

31. Real-Time Vector Database For Video Market Other Major And Innovative Companies

32. Global Real-Time Vector Database For Video Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Real-Time Vector Database For Video Market

34. Recent Developments In The Real-Time Vector Database For Video Market

35. Real-Time Vector Database For Video Market High Potential Countries, Segments and Strategies

36. Appendix

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