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全球向量資料庫市場 2023-2030Global Vector Database Market 2023-2030 |
全球向量資料庫市場預計在預測期內(2023-2030年)CAGR為25.6%。向量資料庫是一種將資料儲存為高維向量的資料庫。向量是多維空間中物件或資料點的數學表示。每個向量都有一定數量的維度,其範圍可以從數十到數千,具體取決於資料的複雜性和粒度。對即時分析和決策不斷成長的需求是市場的主要驅動力之一。企業對即時分析和決策的要求越來越高。向量資料庫非常適合即時分析,因為它們可以有效地處理大量資料。這使其非常適合詐欺偵測、風險評估和個人化推薦等應用。
全球向量資料庫市場依部署模型、產品類型和應用程式進行細分。根據部署模型,市場分為本地和基於雲端的市場。根據產品類型,市場分為開源市場和專有市場。此外,根據應用,市場細分為自然語言處理(NLP)、電腦視覺、推薦系統、圖像和視訊識別、生物識別和異常檢測等。
其中,NLP細分領域預計將在全球向量資料庫市場佔據相當大的佔有率。該部門的成長是由於多種原因造成的。 NLP 佔據主要市場的主要原因是向量資料庫中使用的人工智慧的快速成長。例如,向量資料庫用於儲存和檢索詞嵌入,詞嵌入是單字的密集向量表示,可捕獲其含義以及與其他單字的關係。詞嵌入廣泛應用於文本分類、情緒分析和機器翻譯等 NLP 任務。第二個原因是醫療保健、金融、零售等廣泛行業的成長。
全球向量資料庫市場根據地理位置進一步細分,包括北美(美國和加拿大)、歐洲(英國、義大利、西班牙、德國、法國和歐洲其他地區)、亞太地區(印度、中國、日本、韓國和亞洲其他地區),以及世界其他地區(中東和非洲以及拉丁美洲)。其中,北美地區預計將在全球市場中佔據顯著佔有率,因為成長迅猛例如,2022年8月,Vector 資料庫公司Zilliz 宣佈在其最初的4,300 萬美元B 輪融資中追加6,000 萬美元,使其總融資額增加融資額達 1.13 億美元。
在所有地區中,亞太地區預計在預測期內將以相當大的CAGR成長。亞太地區擁有許多開發和部署向量資料庫解決方案的創新公司。例如,中國公司Pinecone開發了一個基於雲端的向量資料庫平台,被包括Google和阿里雲在內的多家公司使用。另一個例子是 Weaviate,這是一家挪威公司,它開發了一個向量資料庫平台,被包括 Spotify 和迪士尼在內的多家公司使用。因此,該國正大力轉向採用向量資料庫市場解決方案。
亞太地區不斷成長的創新公司幫助推動向量資料庫市場的成長。透過開發創新的向量資料庫解決方案,這些公司使組織更容易採用和使用向量資料庫。
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.