ベクトルデータベースの世界市場：2023-2030年

ベクトルデータベースの世界市場は、予測期間（2023-2030年）にCAGR 25.6％で成長すると予測されます。ベクトルデータベースは、データを高次元ベクトルとして格納するデータベースの一種です。ベクトルは、多次元空間におけるオブジェクトやデータポイントの数学的表現です。各ベクトルには一定の次元数があり、データの複雑さや粒度に応じて数十から数千に及ぶ。リアルタイムの分析と意思決定に対する需要の高まりは、市場の主な促進要因の一つです。企業はリアルタイムの分析と意思決定をますます求めるようになっています。ベクトルデータベースは大量のデータを効率的に処理できるため、リアルタイム分析に適しています。そのため、不正検知、リスク評価、パーソナライズされたレコメンデーションなどのアプリケーションに最適です。

セグメント別の展望

NLPサブセグメントがベクトルデータベースの世界市場で大きなシェアを占めると予想されます。

アプリケーションの中でも、NLPサブセグメントが世界のベクトルデータベース市場でかなりのシェアを占めると予想されます。このセグメントの成長は様々な理由によるものです。NLPが大きなシェアを占める主な理由は、ベクトルデータベースで利用されているAIの急速な成長です。例えば、ベクトル・データベースは、単語の意味や他の単語との関係を捉えた高密度のベクトル表現である単語埋め込みを保存・検索するために使用されます。単語埋め込みは、テキスト分類、感情分析、機械翻訳など、幅広いNLPタスクで使用されています。2つ目の理由は、ヘルスケア、金融、小売など幅広い産業での利用が増加していることです。

地域別展望

世界のベクトルデータベース市場は、北米（米国、カナダ）、欧州（英国、イタリア、スペイン、ドイツ、フランス、その他欧州地域）、アジア太平洋地域（インド、中国、日本、韓国、その他アジア地域）、世界のその他の地域（中東とアフリカ、ラテンアメリカ）を含む地域別にさらに細分化されます。このうち北米は、テクノロジーの利用が増加し、人工知能の需要が高まり、資金調達も増加していることから、世界全体で大きなシェアを占めると予想されています。例えば、2022年8月、ベクトルデータベース会社のZillizは、最初の4,300万米ドルのシリーズBラウンドの6,000万米ドルの延長を発表し、その総資金調達額は1億1,300万米ドルになった。

ベクトルデータベースの世界市場ではアジア太平洋地域が大幅なCAGRで成長する見込み

すべての地域の中で、アジア太平洋地域は予測期間中にかなりのCAGRで成長すると予想されています。アジア太平洋地域には、ベクトルデータベースソリューションを開発・展開する革新的な企業が数多く存在します。例えば、中国のPinecone社はクラウドベースのベクトルデータベースプラットフォームを開発し、GoogleやAlibaba Cloudを含む様々な企業で利用されています。また、ノルウェーのWeaviate社は、ベクトルデータベースプラットフォームを開発し、SpotifyやDisneyなど様々な企業で利用されています。したがって、ベクトルデータベース市場ソリューションの採用に向けて、国のかなりのシフトがあります。

アジア太平洋地域における革新的な企業の増加は、ベクトルデータベース市場の成長を後押ししています。革新的なベクトルデータベースソリューションを開発することで、これらの企業は、組織がベクトルデータベースを採用し、使用することを容易にしています。

目次

第1章 レポート概要

• 業界の現状分析と成長ポテンシャルの展望
• 調査方法とツール
• 市場内訳
  • セグメント別
  • 地域別

第2章 市場概要と洞察

• 調査範囲
• アナリストの洞察と現在の市場動向
  • 主な調査結果
  • 推奨事項
  • 結論

第3章 競合情勢

• 主要企業分析
• Chroma Inc.
  • 概要
  • 財務分析
  • SWOT分析
  • 最近の動向
• Eto Labs, Inc.
  • 会社概要
  • 財務分析
  • SWOT分析
  • 最近の動向
• Pinecone Systems, Inc.
  • 概要
  • 財務分析
  • SWOT分析
  • 最近の動向
• Milvus.
  • 概要
  • 財務分析
  • SWOT分析
  • 最近の動向
• Weaviate, B.V.
  • 概要
  • 財務分析
  • SWOT分析
  • 最近の動向
• 主要戦略分析

第4章 市場セグメンテーション

• ベクトルデータベースの世界市場：展開モデル別
  • オンプレミス
  • クラウドベース
• ベクトルデータベースの世界市場：製品タイプ別
  • オープンソース
  • プロプライエタリ
• ベクトルデータベースの世界市場：用途別
  • 自然言語処理（NLP）
  • コンピュータビジョン
  • レコメンデーションシステム
  • 画像・映像認識
  • バイオメトリクスと異常検知
  • その他（創薬、サプライチェーン最適化）

第5章 地域分析

• 北米
  • 米国
  • カナダ
• 欧州
  • 英国
  • ドイツ
  • フランス
  • ーその他欧州
• ーアジア太平洋
  • 日本
  • 韓国
  • その他アジア太平洋地域
• 世界のその他の地域

第6章 企業プロファイル

• Activeloop
• Alibaba Cloud
• Amazon Web Services, Inc.
• Clarifai, Inc.
• ClickHouse, Inc.
• DataStax, Inc.
• Elasticsearch, Inc.
• FD Technologies PLC
• Google
• GSI Technology, Inc.
• Kinetica DB, Inc.
• Microsoft
• MongoDB, Inc.
• Qdrant
• Redis Ltd.
• Rockset, Inc.
• S2Search Australia Pty Ltd
• SingleStore, Inc.
• Zilliz, Inc.

LIST OF TABLES

• 1. GLOBAL VECTOR DATABASE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2022-2030 ($ MILLION)
• 2. GLOBAL VECTOR DATABASE BY ON-PREMISES MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
• 3. GLOBAL VECTOR DATABASE BY CLOUD-BASED MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
• 4. GLOBAL VECTOR DATABASE MARKET RESEARCH AND ANALYSIS BY PRODUCT TYPE, 2022-2030 ($ MILLION)
• 5. GLOBAL VECTOR DATABASE THROUGH OPEN-SOURCE MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
• 6. GLOBAL VECTOR DATABASE THROUGH PROPRIETARY MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
• 7. GLOBAL VECTOR DATABASE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
• 8. GLOBAL VECTOR DATABASE IN NATURAL LANGUAGE PROCESSING (NLP) MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
• 9. GLOBAL VECTOR DATABASE IN COMPUTER VISION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
• 10. GLOBAL VECTOR DATABASE IN RECOMMENDATION SYSTEMS MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
• 11. GLOBAL VECTOR DATABASE IN IMAGE AND VIDEO RECOGNITION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
• 12. GLOBAL VECTOR DATABASE IN BIOMETRICS AND ANOMALY DETECTION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
• 13. GLOBAL VECTOR DATABASE FOR OTHERS MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
• 14. GLOBAL VECTOR DATABASE MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
• 15. NORTH AMERICAN VECTOR DATABASE MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
• 16. NORTH AMERICAN VECTOR DATABASE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2022-2030 ($ MILLION)
• 17. NORTH AMERICAN VECTOR DATABASE MARKET RESEARCH AND ANALYSIS BY PRODUCT TYPE, 2022-2030 ($ MILLION)
• 18. NORTH AMERICAN VECTOR DATABASE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
• 19. EUROPEAN VECTOR DATABASE MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
• 20. EUROPEAN VECTOR DATABASE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2022-2030 ($ MILLION)
• 21. EUROPEAN VECTOR DATABASE MARKET RESEARCH AND ANALYSIS BY PRODUCT TYPE, 2022-2030 ($ MILLION)
• 22. EUROPEAN VECTOR DATABASE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
• 23. ASIA- PACIFIC VECTOR DATABASE MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
• 24. ASIA- PACIFIC VECTOR DATABASE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2022-2030 ($ MILLION)
• 25. ASIA- PACIFIC VECTOR DATABASE MARKET RESEARCH AND ANALYSIS BY PRODUCT TYPE, 2022-2030 ($ MILLION)
• 26. ASIA- PACIFIC VECTOR DATABASE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
• 27. REST OF THE WORLD VECTOR DATABASE MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
• 28. REST OF THE WORLD VECTOR DATABASE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT MODEL, 2022-2030 ($ MILLION)
• 29. REST OF THE WORLD VECTOR DATABASE MARKET RESEARCH AND ANALYSIS BY PRODUCT TYPE, 2022-2030 ($ MILLION)
• 30. REST OF THE WORLD VECTOR DATABASE MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)

LIST OF FIGURES

• 1. GLOBAL VECTOR DATABASE MARKET SHARE BY DEPLOYMENT MODEL, 2022 VS 2030 (%)
• 2. GLOBAL VECTOR DATABASE BY ON-PREMISES MARKET SHARE BY REGION, 2022 VS 2030 (%)
• 3. GLOBAL VECTOR DATABASE BY CLOUD-BASED MARKET SHARE BY REGION, 2022 VS 2030 (%)
• 4. GLOBAL VECTOR DATABASE MARKET SHARE BY PRODUCT TYPE, 2022 VS 2030 (%)
• 5. GLOBAL VECTOR DATABASE THROUGH OPEN-SOURCE MARKET SHARE BY REGION, 2022 VS 2030 (%)
• 6. GLOBAL VECTOR DATABASE THROUGH PROPRIETARY MARKET SHARE BY REGION, 2022 VS 2030 (%)
• 7. GLOBAL VECTOR DATABASE MARKET SHARE ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
• 8. GLOBAL VECTOR DATABASE IN NATURAL LANGUAGE PROCESSING (NLP) MARKET SHARE BY REGION, 2022 VS 2030 (%)
• 9. GLOBAL VECTOR DATABASE IN COMPUTER VISION MARKET SHARE BY REGION, 2022 VS 2030 (%)
• 10. GLOBAL VECTOR DATABASE IN RECOMMENDATION SYSTEMS MARKET SHARE BY REGION, 2022 VS 2030 (%)
• 11. GLOBAL VECTOR DATABASE IN IMAGE AND VIDEO RECOGNITION MARKET SHARE BY REGION, 2022 VS 2030 (%)
• 12. GLOBAL VECTOR DATABASE IN BIOMETRICS AND ANOMALY DETECTION MARKET SHARE BY REGION, 2022 VS 2030 (%)
• 13. GLOBAL VECTOR DATABASE FOR OTHERS MARKET SHARE BY REGION, 2022 VS 2030 (%)
• 14. GLOBAL VECTOR DATABASE MARKET SHARE BY REGION, 2022 VS 2030 (%)
• 15. US VECTOR DATABASE MARKET SIZE, 2022-2030 ($ MILLION)
• 16. CANADA VECTOR DATABASE MARKET SIZE, 2022-2030 ($ MILLION)
• 17. UK VECTOR DATABASE MARKET SIZE, 2022-2030 ($ MILLION)
• 18. FRANCE VECTOR DATABASE MARKET SIZE, 2022-2030 ($ MILLION)
• 19. GERMANY VECTOR DATABASE MARKET SIZE, 2022-2030 ($ MILLION)
• 20. ITALY VECTOR DATABASE MARKET SIZE, 2022-2030 ($ MILLION)
• 21. SPAIN VECTOR DATABASE MARKET SIZE, 2022-2030 ($ MILLION)
• 22. REST OF EUROPE VECTOR DATABASE MARKET SIZE, 2022-2030 ($ MILLION)
• 23. INDIA VECTOR DATABASE MARKET SIZE, 2022-2030 ($ MILLION)
• 24. CHINA VECTOR DATABASE MARKET SIZE, 2022-2030 ($ MILLION)
• 25. JAPAN VECTOR DATABASE MARKET SIZE, 2022-2030 ($ MILLION)
• 26. SOUTH KOREA VECTOR DATABASE MARKET SIZE, 2022-2030 ($ MILLION)
• 27. REST OF ASIA-PACIFIC VECTOR DATABASE MARKET SIZE, 2022-2030 ($ MILLION)
• 28. REST OF THE WORLD VECTOR DATABASE MARKET SIZE, 2022-2030 ($ MILLION)

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.

Segmental Outlook

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.

The NLP Sub-Segment is Anticipated to Hold a Considerable Share of the Global Vector Database Market

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.

Regional Outlook

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.

The Asia-Pacific Region is Expected to Grow at a Significant CAGR in the Global Vector Database Market

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.

Market Players Outlook

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.

The Report Covers:

• Market value data analysis of 2022 and forecast to 2030.
• Annualized market revenues ($ million) for each market segment.
• Country-wise analysis of major geographical regions.
• Key companies operating in the global vector database market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
• Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
• Analysis of market-entry and market expansion strategies.
• Competitive strategies by identifying 'who-stands-where' in the market.

Table of Contents

1. Report Summary

• Current Industry Analysis and Growth Potential Outlook
• 1.1. Research Methods and Tools
• 1.2. Market Breakdown
  • 1.2.1. By Segments
  • 1.2.2. By Region

2. Market Overview and Insights

• 2.1. Scope of the Report
• 2.2. Analyst Insight & Current Market Trends
  • 2.2.1. Key Findings
  • 2.2.2. Recommendations
  • 2.2.3. Conclusion

3. Competitive Landscape

• 3.1. Key Company Analysis
• 3.2. Chroma Inc.
  • 3.2.1. Overview
  • 3.2.2. Financial Analysis
  • 3.2.3. SWOT Analysis
  • 3.2.4. Recent Developments
• 3.3. Eto Labs, Inc.
  • 3.3.1. Overview
  • 3.3.2. Financial Analysis
  • 3.3.3. SWOT Analysis
  • 3.3.4. Recent Developments
• 3.4. Pinecone Systems, Inc.
  • 3.4.1. Overview
  • 3.4.2. Financial Analysis
  • 3.4.3. SWOT Analysis
  • 3.4.4. Recent Developments
• 3.5. Milvus.
  • 3.5.1. Overview
  • 3.5.2. Financial Analysis
  • 3.5.3. SWOT Analysis
  • 3.5.4. Recent Developments
• 3.6. Weaviate, B.V.
  • 3.6.1. Overview
  • 3.6.2. Financial Analysis
  • 3.6.3. SWOT Analysis
  • 3.6.4. Recent Developments
• 3.7. Key Strategy Analysis

4. Market Segmentation

• 4.1. Global Vector Database Market by Deployment Model
  • 4.1.1. On-Premises
  • 4.1.2. Cloud Based
• 4.2. Global Vector Database Market by Product Type
  • 4.2.1. Open Source
  • 4.2.2. Proprietary
• 4.3. Global Vector Database Market by Application
  • 4.3.1. Natural Language Processing (NLP)
  • 4.3.2. Computer Vision
  • 4.3.3. Recommendation Systems
  • 4.3.4. Image and Video Recognition
  • 4.3.5. Biometrics and Anomaly Detection
  • 4.3.6. Others (Drug Discovery, Supply Chain Optimization)

5. Regional Analysis

• 5.1. North America
  • 5.1.1. United States
  • 5.1.2. Canada
• 5.2. Europe
  • 5.2.1. UK
  • 5.2.2. Germany
  • 5.2.3. Italy
  • 5.2.4. Spain
  • 5.2.5. France
  • 5.2.6. Rest of Europe
• 5.3. Asia-Pacific
  • 5.3.1. China
  • 5.3.2. India
  • 5.3.3. Japan
  • 5.3.4. South Korea
  • 5.3.5. Rest of Asia-Pacific
• 5.4. Rest of the World

6. Company Profiles

• 6.1. Activeloop
• 6.2. Alibaba Cloud
• 6.3. Amazon Web Services, Inc.
• 6.4. Clarifai, Inc.
• 6.5. ClickHouse, Inc.  
• 6.6. DataStax, Inc.
• 6.7. Elasticsearch, Inc.
• 6.8. FD Technologies PLC
• 6.9. Google
• 6.10. GSI Technology, Inc.
• 6.11. Kinetica DB, Inc.
• 6.12. Microsoft
• 6.13. MongoDB, Inc.
• 6.14. Qdrant
• 6.15. Redis Ltd.
• 6.16. Rockset, Inc.
• 6.17. S2Search Australia Pty Ltd
• 6.18. SingleStore, Inc.
• 6.19. Zilliz, Inc.