세계의 시계열 IoT 벡터 데이터베이스 시장 보고서(2025년)
Vector Database For Time-Series Internet Of Things (IoT) Global Market Report 2025
상품코드 : 1888504
리서치사 : The Business Research Company
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한글목차

시계열 IoT 벡터 데이터베이스 시장 규모는 최근 급격히 확대되고 있습니다. 2024년에 15억 2,000만 달러로 평가되었고, 2025년에는 19억 2,000만 달러로, CAGR 26.9%로 성장할 전망입니다. 지난 몇 년간의 성장은 클라우드 플랫폼과 벡터 데이터베이스 통합의 발전, 데이터 보안 및 컴플라이언스에 대한 관심 증가, 스마트 제조 및 산업용 IoT에 대한 투자 확대, 모니터링을 위한 센서가 풍부한 환경 활용 확대, 산업용도의 디지털 트윈에 대한 관심 증가로 인한 것입니다.

시계열 IoT 벡터 데이터베이스 시장 규모는 향후 수년간 급격한 성장이 예상됩니다. 2029년에는 49억 2,000만 달러에 달하고, CAGR은 26.5%를 나타낼 전망입니다. 예측 기간 동안 성장 요인으로는 IoT 분야에서 AI 및 머신러닝 채택 확대, 실시간 데이터 분석 수요 증가, 연결 장치 및 센서 도입 증가, 저지연 쿼리 처리의 필요성 증가, 확장 가능하고 고성능 스토리지 솔루션에 대한 주목 증가 등이 있습니다. 예측 기간의 주요 동향으로는 실시간 분석 기술의 진보, 머신러닝 통합의 강화, 데이터 압축 기술의 혁신, AI 구동형 쿼리 최적화의 도입, 하이IoT 기기의 보급 확대가 시계열 브리드 클라우드 배포의 진전 등을 들 수 있습니다.

향후, IoT 벡터 데이터베이스 시장의 성장을 견인할 것으로 예측됩니다. IoT 기기는 센서와 인터넷 연결 기능을 갖춘 물리적 대상으로, 실시간으로 데이터 수집, 공유, 응답을 가능하게 합니다. 그 보급은 프로세스 자동화와 실시간 데이터 분석을 통한 효율성 향상을 실현하여 기업과 소비자가 보다 빠르고 현명한 의사 결정을 할 수 있게 되기 때문입니다. 시계열 IoT 벡터 데이터베이스는 대량의 센서 데이터를 효율적으로 처리하고 분석하고 IoT 장치가 보다 빠르고 정확한 실시간 통찰력을 제공하는 데 필수적입니다. 예를 들어 스웨덴의 통신 기업인 에릭슨에 따르면 2024년 9월 현재 광대역 및 중요 IoT(4G/5G) 연결 수는 2030년까지 2배의 43억에 달할 것으로 예측됩니다. 따라서 IoT 기기의 보급 확대는 시계열 IoT 벡터 데이터베이스 시장의 성장을 가속하고 있습니다.

시계열 IoT 벡터 데이터베이스 시장의 주요 기업은 컨센서스 알고리즘의 구현을 단순화하는 RAFT 기반 통합 기술 개발에 주력하고 있습니다. RAFT 기반 통합은 여러 노드 간에 업데이트를 동기화하여 분산 시스템 전체에서 데이터 무결성과 내결함성을 보장하는 컨센서스 메커니즘입니다. 예를 들어, 2023년 3월에는 미국에 본사를 둔 엔터프라이즈급 벡터 데이터베이스 제공업체인 Zilliz가 Milvus 2.3을 출시했습니다. 이는 RAFT 기반 통합을 통합하여 이종 컴퓨팅을 가능하게 하며 분산 시스템 전체에서 효율적인 동기화를 유지합니다. NVIDIA GPU 지원은 향상된 유연성과 실시간 워크로드 효율성을 크게 개선합니다. 이 시스템은 병렬 처리와 쿼리 속도를 가속화하여 Milvus 2.0에 비해 최대 4배, 기존의 벡터 검색 아키텍처를 채택한 데이터베이스에 비해 10배 이상의 성능 향상을 실현하고 있습니다. GPU 가속은 CPU 전용 구성에 비해 10배의 성능을 발휘하며, Milvus 2.3은 AI 및 머신러닝 워크로드를 위한 견고한 솔루션으로 자리를 잡고 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

Vector database for time-series internet of things (IoT) is a specialized database designed to store, manage, and query high-dimensional vector data generated by IoT devices over time. It enables efficient similarity searches, real-time analytics, and retrieval of patterns from large volumes of time-series sensor data. By converting IoT signals into vector representations, it supports advanced AI and machine learning applications, including anomaly detection and predictive maintenance.

The key components of a vector database for time-series internet of things (IoT) are software, hardware, and services. The software is a specialized database solution designed to efficiently store, index, and query high-dimensional vector representations of time-series IoT data, enabling fast similarity searches, real-time analytics, and AI-driven insights. Deployment modes include on-premises and cloud, and applications include predictive maintenance, real-time analytics, asset tracking, anomaly detection, and others. It is used by various end users, including manufacturing, energy and utilities, healthcare, transportation and logistics, smart cities, 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 for time-series internet of things (IoT) market research report is one of a series of new reports from The Business Research Company that provides vector database for time-series internet of things (IoT) market statistics, including vector database for time-series internet of things (IoT) industry global market size, regional shares, competitors with a vector database for time-series internet of things (IoT) market share, detailed vector database for time-series internet of things (IoT) market segments, market trends and opportunities, and any further data you may need to thrive in the vector database for time-series internet of things (IoT) industry. This vector database for time-series internet of things (IoT) 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 for time-series internet of things (IoT) market size has grown exponentially in recent years. It will grow from $1.52 billion in 2024 to $1.92 billion in 2025 at a compound annual growth rate (CAGR) of 26.9%. The growth during the historic period can be attributed to increasing integration of cloud platforms with vector databases, rising focus on data security and compliance, growing investment in smart manufacturing and industrial IoT, expanding use of sensor-rich environments for monitoring, and rising interest in digital twins for industrial applications.

The vector database for time-series internet of things (IoT) market size is expected to see exponential growth in the next few years. It will grow to $4.92 billion in 2029 at a compound annual growth rate (CAGR) of 26.5%. The growth during the forecast period can be attributed to increased adoption of AI and machine learning in IoT, rising demand for real-time data analytics, growth in connected devices and sensor deployment, increasing need for low-latency query processing, and heightened focus on scalable and high-performance storage solutions. Key trends in the forecast period include advancements in real-time analytics, enhanced machine learning integration, innovations in data compression techniques, incorporation of AI-driven query optimization, and progress in hybrid cloud deployment.

The increasing adoption of IoT devices is expected to drive the growth of the vector database for time-series internet of things (IoT) market going forward. IoT devices are physical objects equipped with sensors and internet connectivity that enable them to collect, share, and respond to data in real time. Their rise is driven by the ability to enhance efficiency through process automation and real-time data insights, allowing businesses and consumers to make faster, smarter decisions. A vector database for time-series IoT is essential as it efficiently processes and analyzes large volumes of sensor data, enabling IoT devices to deliver quicker and more accurate real-time insights. For example, in September 2024, according to Ericsson, a Sweden-based telecommunications company, broadband and critical IoT (4G/5G) connections are projected to double, reaching 4.3 billion by 2030. Therefore, the increasing adoption of IoT devices is fueling the growth of the vector database for time-series internet of things (IoT) market.

Key companies in the vector database for time-series internet of things (IoT) market are focusing on developing RAFT-based integration to simplify the implementation of consensus algorithms. RAFT-based integration is a consensus mechanism that ensures data consistency and fault tolerance across distributed systems by synchronizing updates among multiple nodes. For instance, in March 2023, Zilliz, a US-based enterprise-grade vector database provider, launched Milvus 2.3. It incorporates RAFT-based integration to enable heterogeneous computing and maintain efficient synchronization across distributed systems. With NVIDIA GPU support, it offers enhanced flexibility and substantial improvements in real-time workload efficiency. The system achieves faster parallel processing and query speeds, performing up to four times better than Milvus 2.0 and more than ten times faster than databases using traditional architectures for vector search. Its GPU acceleration delivers tenfold higher performance compared to CPU-only setups, establishing Milvus 2.3 as a robust solution for AI and machine learning workloads.

In June 2024, OpenAI Inc., a US-based AI research and deployment company, acquired Rockset Inc. for an undisclosed amount. Through this acquisition, OpenAI Inc. aims to strengthen its real-time data processing and analytics capabilities by integrating Rockset Inc.'s cloud-native search and database technologies, enabling faster and more efficient access to large-scale data, improving AI model performance, and supporting the development of more responsive, data-driven applications. Rockset Inc. is a US-based company specializing in vector database for time-series IoT.

Major players in the vector database for time-series internet of things (iot) market are Microsoft Corp., Alibaba Group Holding Limited, International Business Machines Corporation, MongoDB Inc., Elastic N.V., Redis Ltd., Kx Systems Inc., SingleStore Inc., ClickHouse Inc., Timescale Inc., PlanetScale Inc., Pinecone Systems Inc., Crate.io GmbH, Piaggio & C. S.p.A., Weaviate Holding Inc., Zilliz Inc., Qdrant Solutions GmbH, OpenSearch Software Foundation, Rockset Inc., and ObjectBox Ltd.

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

The countries covered in the vector database for time-series internet of things (IoT) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The vector database for time-series internet of things (IoT) market consists of revenues earned by entities by providing services such as historical data aggregation services, feature extraction services, anomaly detection services, data retention services, and predictive maintenance services. The market value includes the value of related goods sold by the service provider or included within the service offering. The vector database for time-series internet of things (IoT) market also includes sales of sensors, network routers, storage appliances, smart meters, and data logging devices. 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 Database For Time-Series Internet Of Things (IoT) 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 for time-series internet of things (iot) 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 for time-series internet of things (iot) ? 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 for time-series internet of things (iot) 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 For Time-Series Internet Of Things (IoT) Market Characteristics

3. Vector Database For Time-Series Internet Of Things (IoT) Market Trends And Strategies

4. Vector Database For Time-Series Internet Of Things (IoT) 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 For Time-Series Internet Of Things (IoT) Growth Analysis And Strategic Analysis Framework

6. Vector Database For Time-Series Internet Of Things (IoT) Market Segmentation

7. Vector Database For Time-Series Internet Of Things (IoT) Market Regional And Country Analysis

8. Asia-Pacific Vector Database For Time-Series Internet Of Things (IoT) Market

9. China Vector Database For Time-Series Internet Of Things (IoT) Market

10. India Vector Database For Time-Series Internet Of Things (IoT) Market

11. Japan Vector Database For Time-Series Internet Of Things (IoT) Market

12. Australia Vector Database For Time-Series Internet Of Things (IoT) Market

13. Indonesia Vector Database For Time-Series Internet Of Things (IoT) Market

14. South Korea Vector Database For Time-Series Internet Of Things (IoT) Market

15. Western Europe Vector Database For Time-Series Internet Of Things (IoT) Market

16. UK Vector Database For Time-Series Internet Of Things (IoT) Market

17. Germany Vector Database For Time-Series Internet Of Things (IoT) Market

18. France Vector Database For Time-Series Internet Of Things (IoT) Market

19. Italy Vector Database For Time-Series Internet Of Things (IoT) Market

20. Spain Vector Database For Time-Series Internet Of Things (IoT) Market

21. Eastern Europe Vector Database For Time-Series Internet Of Things (IoT) Market

22. Russia Vector Database For Time-Series Internet Of Things (IoT) Market

23. North America Vector Database For Time-Series Internet Of Things (IoT) Market

24. USA Vector Database For Time-Series Internet Of Things (IoT) Market

25. Canada Vector Database For Time-Series Internet Of Things (IoT) Market

26. South America Vector Database For Time-Series Internet Of Things (IoT) Market

27. Brazil Vector Database For Time-Series Internet Of Things (IoT) Market

28. Middle East Vector Database For Time-Series Internet Of Things (IoT) Market

29. Africa Vector Database For Time-Series Internet Of Things (IoT) Market

30. Vector Database For Time-Series Internet Of Things (IoT) Market Competitive Landscape And Company Profiles

31. Vector Database For Time-Series Internet Of Things (IoT) Market Other Major And Innovative Companies

32. Global Vector Database For Time-Series Internet Of Things (IoT) Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Vector Database For Time-Series Internet Of Things (IoT) Market

34. Recent Developments In The Vector Database For Time-Series Internet Of Things (IoT) Market

35. Vector Database For Time-Series Internet Of Things (IoT) Market High Potential Countries, Segments and Strategies

36. Appendix

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