PUBLISHER: The Business Research Company | PRODUCT CODE: 1888405
PUBLISHER: The Business Research Company | PRODUCT CODE: 1888405
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.
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.