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2023-2030 年全球向量资料库市场Global Vector Database Market 2023-2030 |
全球向量资料库市场预计在预测期内(2023-2030年)CAGR为25.6%。向量资料库是一种将资料储存为高维向量的资料库。向量是多维空间中物件或资料点的数学表示。每个向量都有一定数量的维度,其范围可以从数十到数千,具体取决于资料的复杂性和粒度。对即时分析和决策不断增长的需求是市场的主要驱动力之一。企业对即时分析和决策的要求越来越高。向量资料库非常适合即时分析,因为它们可以有效地处理大量资料。这使得它们非常适合诈欺侦测、风险评估和个人化推荐等应用。
全球向量资料库市场按部署模型、产品类型和应用程式进行细分。根据部署模型,市场分为本地和基于云端的市场。根据产品类型,市场分为开源市场和专有市场。此外,根据应用,市场细分为自然语言处理(NLP)、电脑视觉、推荐系统、图像和视讯识别、生物识别和异常检测等。
其中,NLP细分领域预计将在全球向量资料库市场占据相当大的份额。该部门的增长是由于多种原因造成的。 NLP 占据主要市场的主要原因是向量资料库中使用的人工智慧的快速成长。例如,向量资料库用于储存和检索词嵌入,词嵌入是单字的密集向量表示,可捕获其含义以及与其他单字的关係。词嵌入广泛应用于文本分类、情绪分析和机器翻译等 NLP 任务。第二个原因是医疗保健、金融、零售等广泛行业的成长。
全球向量资料库市场根据地理位置进一步细分,包括北美(美国和加拿大)、欧洲(英国、义大利、西班牙、德国、法国和欧洲其他地区)、亚太地区(印度、中国、日本) 、韩国和亚洲其他地区),以及世界其他地区(中东和非洲以及拉丁美洲)。其中,北美地区预计将在全球市场中占据显着份额,因为增长迅猛例如,2022 年8 月,Vector 数据库公司Zilliz 宣布在其最初的4,300 万美元B 轮融资中追加6,000 万美元,使其总融资额增加融资额达 1.13 亿美元。
在所有地区中,亚太地区预计在预测期内将以相当大的CAGR成长。亚太地区拥有许多开发和部署向量资料库解决方案的创新公司。例如,中国公司Pinecone开发了一个基于云端的向量资料库平台,被包括Google和阿里云在内的多家公司使用。另一个例子是 Weaviate,这是一家挪威公司,它开发了一个向量资料库平台,被包括 Spotify 和迪士尼在内的多家公司使用。因此,该国正大力转向采用向量资料库市场解决方案。
亚太地区不断成长的创新公司正在帮助推动向量资料库市场的成长。透过开发创新的向量资料库解决方案,这些公司使组织更容易采用和使用向量资料库。
Global Vector Database Market Size, Share & Trends Analysis Report by Deployment Model (On-Premises, and Cloud Based), by Product Type (Open Source, and Proprietary), and by Application (Natural Language Processing (NLP), Computer Vision, Recommendation Systems, Image and Video Recognition, Biometrics and Anomaly Detection, and Others), Forecast Period (2023-2030)
The global vector database market is anticipated to grow at a CAGR of 25.6% during the forecast period (2023-2030). A vector database is a type of database that stores data as high-dimensional vectors. Vectors are mathematical representations of objects or data points in a multi-dimensional space. Each vector has a certain number of dimensions, which can range from tens to thousands, depending on the complexity and granularity of the data. The growing demand for real-time analytics and decision-making is one of the major drivers for the market. Businesses are increasingly demanding real-time analytics and decision-making. Vector databases are well-suited for real-time analytics because they can process large volumes of data efficiently. This makes them ideal for applications such as fraud detection, risk assessment, and personalized recommendations.
The global vector database market is segmented on the deployment model, product type, and applications. Based on the deployment model, the market is sub-segmented into on-premises and cloud-based. Based on the product type, the market is sub-segmented into open-source, and proprietary. Further, on the basis of applications, the market is sub-segmented into natural language processing (NLP), computer vision, recommendation systems, image and video recognition, biometrics and anomaly detection, and others.
Among the applications, the NLP sub-segment is expected to hold a considerable share of the global vector database market. The growth of the segment is due to various reasons. The primary reason for the major hold of the market by NLP is the rapid growth of AI which is being used in vector databases. For example, vector databases are used to store and retrieve word embeddings, which are dense vector representations of words that capture their meaning and relationships to other words. Word embeddings are used in a wide range of NLP tasks such as text classification, sentiment analysis, and machine translation. The second reason is the increase in the wide range of industries such as healthcare, finance, retail, and others.
The global vector database market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America. Among these, North America is anticipated to hold a prominent share of the market across the globe, because of heavy increase in the use of technology and that to in the heavy demand of artificial intelligence and increase in funding as well. For instance, in August 2022, Vector database company Zilliz announced a $60 million extension of its initial $43 million Series B round, bringing its total funding to $113 million.
Among all regions, the Asia-Pacific regions is anticipated to grow at a considerable CAGR over the forecast period. The Asia Pacific region is home to a number of innovative companies that are developing and deploying vector database solutions. For example, Pinecone, a Chinese company developed a cloud-based vector database platform that is used by a variety of companies, including Google and Alibaba Cloud. Another example is Weaviate, a Norwegian company that developed a vector database platform that is used by a variety of companies, including Spotify and Disney. Hence, there is considerable shift of the country towards the adoption of the Vector Database market solutions.
The growing number of innovative companies in the Asia Pacific region is helping to drive the growth of the vector database market. By developing innovative vector database solutions, these companies are making it easier for organizations to adopt and use vector databases.
The major companies serving the vector database market include Chroma Inc., Eto Labs, Inc., Pinecone Systems, Inc., Milvus., Weaviate, B.V., and others. The market players are considerably contributing to the market growth by the adoption of various strategies including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market. For instance, in August 2023, KX, unveiled the Early Access Program for KDB.AI. The program taught how to seamlessly handle both structured and unstructured data, KDB.AI empowered real-time processing, enabling sliding window search for time-series-based vector search. Its stateful approach caters to various applications, providing native support for large language models (LLMs) and machine learning workflows.