Vector Database Market – Global Forecast to 2030
商品番号 : SMB-45803
| 出版社 | MarketsandMarkets |
| 出版年月 | 2025年12月 |
| ページ数 | 322 |
| 図表数 | 363 |
| 価格タイプ | シングルユーザライセンス |
| 価格 | USD 4,950 |
| 種別 | 英文調査報告書 |
ベクトルデータベース市場 – ベクトルデータベースソリューション（ベクトル生成とインデックス作成、ベクトル検索とクエリ処理、ベクトル保存と取得）、AI言語処理、コンピュータビジョン、レコメンデーションシステム – 2030年までの世界予測
世界のベクターデータベース市場は、予測期間中に年平均成長率（CAGR）27.5%で成長し、2025年の26億5,210万米ドルから2030年には89億4,570万米ドルに達すると予測されています。
AI、マルチモーダルモデル、リアルタイムアプリケーションの導入拡大に伴い、グローバル企業における高度なベクトルデータベースへの需要が加速しています。企業は、レコメンデーションエンジン、RAGパイプライン、不正検出、パーソナライズされたユーザーエクスペリエンスを実現するために、高性能ベクトル検索、効率的なインデックス作成、低レイテンシ検索への投資をますます増やしています。これらのシステムは、スケーラビリティの向上、推論速度の向上、そして現代のAIワークロードに不可欠な複雑な埋め込みをサポートします。
調査範囲
本市場レポートは、ベクターデータベース市場を様々なセグメントにわたって網羅しています。提供内容、種類、テクノロジー／AIアプリケーション、導入形態、データタイプ、業種、地域に基づき、多くのセグメントの市場規模と成長ポテンシャルを推定しました。主要市場参加者の徹底的な競合分析、各社の事業情報、製品・サービス提供に関する重要な考察、現在のトレンド、そして重要な市場戦略を網羅しています。
このレポートを購入する理由：
本調査は、ベクターデータベース業界全体とそのサブセグメントにおける最も正確な収益予測を提供し、既存のリーダー企業と新規参入企業の両方にメリットをもたらします。関係者は、競争環境に関する貴重な洞察を得ることで、自社のポジショニングを向上させ、効果的な市場開拓戦略を策定できるようになります。本レポートは、主要な市場推進要因、制約、機会、課題を概説し、業界関係者が市場の現状を理解するのに役立ちます。
本レポートでは、以下の点について洞察を提供しています。
- ベクターデータベース市場の成長に影響を与える主要な推進要因（非構造化データおよび高次元データの爆発的増加）、制約要因（急速に進化するAIおよび埋め込みモデル）、機会（LLM埋め込みのスケーラブルな保存と検索に対するニーズの高まり）、課題（データプライバシーとセキュリティに関する懸念）の分析
- 製品開発／イノベーション：市場における新興技術、研究開発イニシアチブ、サービスおよび製品の導入に関する包括的な分析
- 市場開発：収益性の高い市場に関する詳細な情報、グローバルベクターデータベース市場の分析
- 市場多様化：最近の進歩、投資、未開拓地域、新しいソリューションおよびサービスに関する包括的な情報
- 競合評価: ベクター データベース業界の主要な競合企業 (Microsoft (米国)、Elastic (米国)、MongoDB (米国)、Google (米国)、AWS (米国)、Redis (米国)、Alibaba Cloud (米国)、DataStax (米国)、SingleStore (米国)、Pinecone (米国)、Zilliz (米国)、KX (米国)、Marqo.ai (米国)、ActiveLoop (米国)、Supabase (米国)、Jina AI (ドイツ)、Typesense (米国)、Weaviate (オランダ)、GSI Technology (米国)、Kinetica (米国)、Qdrant (ドイツ)、ClickHouse (米国)、OpenSearch (米国)、Vespa.ai (ノルウェー)、LanceDB (米国)) の市場シェア、拡張計画、提供内容を徹底的に分析します。
Report Description
The global vector database market is projected to grow from USD 2,652.1 million in 2025 to USD 8,945.7 million by 2030, at a compound annual growth rate (CAGR) of 27.5% during the forecast period.
The rising adoption of AI, multimodal models, and real-time applications is accelerating the demand for advanced vector databases among global enterprises. Organizations are increasingly investing in high-performance vector search, efficient indexing, and low-latency retrieval to power recommendation engines, RAG pipelines, fraud detection, and personalized user experiences. These systems enhance scalability, improve inference speed, and support complex embeddings, which are essential for modern AI workloads.
However, reliance on traditional relational and document databases remains a restraint, as many enterprises still operate legacy architectures that limit the ability to run vector workloads efficiently. Migrating to vector-native systems requires significant re-engineering, embedding pipelines, and integration efforts, making both cost and implementation complexity key challenges. While demand continues to surge with the expansion of AI adoption, the transition from legacy data infrastructure remains one of the primary barriers to the growth of the vector database market.
“Based on data type, the hybrid & multimodal is estimated to hold the largest market share in 2025”
Hybrid and multimodal data represent one of the most advanced frontiers of the vector database market, enabling seamless integration and analysis of diverse data types—text, images, audio, video, and structured inputs—within a unified search and retrieval framework. Vector databases transform each modality into embeddings within a shared or comparable vector space, enabling cross-modal queries such as finding images relevant to a text description or retrieving videos that match an audio snippet. This capability powers applications such as multimodal search engines, AI copilots, and personalized recommendation systems that rely on contextual understanding across various formats. Hybrid data processing also combines traditional structured or keyword-based search with vector similarity, ensuring both precision and semantic depth. For instance, an enterprise can blend metadata filtering with semantic retrieval to produce context-rich, explainable results. The ability to handle multimodal embeddings efficiently is made possible through scalable indexing and retrieval mechanisms, such as HNSW or disk-based storage architectures, which are optimized for large and complex vectors. As AI models increasingly fuse language and vision (e.g., CLIP, GPT-4V), vector databases are evolving to support dynamic, multimodal data pipelines. This integration drives innovation across various sectors, including e-commerce, media, and healthcare, enabling holistic and intelligent data interaction and discovery.
“Based on technology type, the computer vision segment is expected to grow at the highest CAGR during the forecast period.”
Computer vision plays a pivotal role in expanding the capabilities of vector databases by enabling machines to interpret, analyze, and derive insights from visual data such as images and videos. Through the use of image and video embeddings, visual inputs are transformed into high-dimensional vectors that capture semantic meaning, allowing vector databases to perform similarity searches based on content rather than metadata or labels. This transformation enables applications such as visual recommendation engines, image-based search, and automated tagging systems. Object detection, another key component, enhances the analytical precision of computer vision by identifying and classifying objects within visual frames, supporting real-time monitoring, surveillance, and industrial automation use cases. Beyond these, computer vision in vector databases underpins advanced applications such as facial recognition, anomaly detection, and scene understanding, where the ability to retrieve semantically similar visual data accelerates analysis. The integration of computer vision with vector databases enables multimodal search, where textual and visual queries coexist, thereby enriching user interaction and AI workflows. By combining deep learning models with scalable vector indexing, organizations can efficiently process massive volumes of unstructured visual content, driving breakthroughs across retail, healthcare, autonomous systems, and digital media analytics.
“North America will lead in terms of market share, while Asia Pacific will emerge as the fastest-growing market.”
North America is the largest market for vector databases, driven by the rapid deployment of AI workloads, large-scale enterprise modernization, and the dominance of cloud and hyperscale platforms. The US and Canada are witnessing substantial investment in multimodal AI, real-time analytics, and RAG-based applications, which require high-performance vector search and scalable embedding storage. Mature digital ecosystems, extensive GPU infrastructure, and early adoption of enterprise-grade vector solutions further reinforce the region’s leading position.
In contrast, the Asia Pacific represents the fastest-growing vector database market, driven by accelerated digital transformation in countries such as China, India, Japan, South Korea, and Singapore. Surging demand for AI-enabled personalization, e-commerce intelligence, fintech fraud detection, and autonomous systems is driving the adoption of scalable and cost-efficient vector search platforms. Government initiatives in AI innovation, the expansion of cloud infrastructure, and rising startup activity are further boosting uptake, positioning the APAC region as a significant hub for high-growth vector database technologies.
Breakdown of primaries
Chief Executive Officers (CEOs), directors of innovation and technology, system integrators, and executives from several significant companies in the vector database market were interviewed to gain insights into this market.
- By Company: Tier I: 40%, Tier II: 25%, and Tier III: 35%
- By Designation: C-Level Executives: 45%, Director Level: 30%, and Others: 25%
- By Region: North America: 30%, Europe: 20%, Asia Pacific: 25%, Rest of the World: 15%
Some of the significant vector database market vendors are Microsoft (US), Elastic (US), MongoDB (US), Google (US), AWS (US), Redis (US), Alibaba Cloud (US), DataStax (US), SingleStore (US), Pinecone (US), Zilliz (US), KX (US), Marqo.ai (US), ActiveLoop (US), Supabase (US), Jina AI (Germany), Typesense (US), Weaviate (Netherlands), GSI Technology (US), Kinetica (US), Qdrant (Germany), ClickHouse (US), OpenSearch(US), Vespa.ai (Norway), and LanceDB (US).
Research Coverage
The market report covered the vector database market across segments. We estimated the market size and growth potential for many segments based on offering, type, technology/AI application, deployment type, data type, vertical, and region. It contains a thorough competition analysis of the major market participants, information about their businesses, essential observations about their product and service offerings, current trends, and critical market strategies.
Reasons to buy this report:
This research provides the most accurate revenue estimates for the entire vector database industry and its subsegments, benefiting both established leaders and new entrants. Stakeholders will gain valuable insights into the competitive landscape, enabling them to position their companies better and develop effective go-to-market strategies. The report outlines key market drivers, constraints, opportunities, and challenges, helping industry players understand the current state of the market.
The report provides insights into the following pointers:
- Analysis of key drivers (explosion of unstructured and high-dimensional data), restraints (rapidly evolving AI and embedding models), opportunities (growing need for scalable storage and retrieval of LLM embeddings), and challenges (data privacy and security concerns) influencing the growth of the vector database market
- Product Development/Innovation: Comprehensive analysis of emerging technologies, R&D initiatives, and service and product introductions in the market
- Market Development: In-depth details regarding profitable markets, examining the global vector database market
- Market Diversification: Comprehensive details regarding recent advancements, investments, unexplored regions, and new solutions and services
- Competitive Assessment: Thorough analysis of the market shares, expansion plans, and offerings of the top competitors in the vector database industry, such as Microsoft (US), Elastic (US), MongoDB (US), Google (US), AWS (US), Redis (US), Alibaba Cloud (US), DataStax (US), SingleStore (US), Pinecone (US), Zilliz (US), KX (US), Marqo.ai (US), ActiveLoop (US), Supabase (US), Jina AI (Germany), Typesense (US), Weaviate (Netherlands), GSI Technology (US), Kinetica (US), Qdrant (Germany), ClickHouse (US), OpenSearch(US), Vespa.ai (Norway), and LanceDB (US).
Table of Contents
1 INTRODUCTION 32
1.1 STUDY OBJECTIVES 32
1.2 MARKET DEFINITION 32
1.3 STUDY SCOPE 33
1.3.1 MARKET SEGMENTATION 33
1.3.2 INCLUSIONS AND EXCLUSIONS 34
1.3.3 YEARS CONSIDERED 35
1.3.4 CURRENCY CONSIDERED 36
1.4 STAKEHOLDERS 36
1.5 SUMMARY OF CHANGES 37
2 RESEARCH METHODOLOGY 38
2.1 RESEARCH APPROACH 38
2.1.1 SECONDARY DATA 40
2.1.2 PRIMARY DATA 40
2.1.2.1 Key data from primary sources 41
2.1.2.2 Breakdown of primary profiles 42
2.1.2.3 Key industry insights 42
2.2 DATA TRIANGULATION 43
2.3 MARKET SIZE ESTIMATION 44
2.3.1 TOP-DOWN APPROACH 45
2.3.2 BOTTOM-UP APPROACH 45
2.3.3 MARKET ESTIMATION APPROACHES 47
2.4 MARKET FORECAST 49
2.5 RESEARCH ASSUMPTIONS 50
2.6 RESEARCH LIMITATIONS 51
3 EXECUTIVE SUMMARY 52
3.1 KEY INSIGHTS & MARKET HIGHLIGHTS 52
3.2 KEY MARKET PARTICIPANTS: STRATEGIC INSIGHTS 53
3.3 DISRUPTIVE TRENDS SHAPING MARKET 54
3.4 HIGH-GROWTH SEGMENTS 55
3.5 SNAPSHOT: GLOBAL MARKET SIZE, GROWTH RATE, AND FORECAST 56
4 PREMIUM INSIGHTS 57
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN VECTOR DATABASE MARKET 57
4.2 VECTOR DATABASE MARKET, BY TYPE 58
4.3 VECTOR DATABASE MARKET, BY OFFERING 58
4.4 VECTOR DATABASE MARKET, BY VERTICAL 59
4.5 VECTOR DATABASE MARKET, BY REGION 59
5 MARKET OVERVIEW 60
5.1 INTRODUCTION 60
5.2 MARKET DYNAMICS 60
5.2.1 DRIVERS 61
5.2.1.1 Explosion of unstructured and high-dimensional data 61
5.2.1.2 Demand for real-time search and personalization 61
5.2.1.3 Growing demand for solutions to process low-latency queries 61
5.2.1.4 Huge investments in vector databases 62
5.2.2 RESTRAINTS 62
5.2.2.1 High compute and storage costs 62
5.2.2.2 Rapidly evolving AI and embedding models 62
5.2.3 OPPORTUNITIES 63
5.2.3.1 Growing need for scalable storage and retrieval of LLM embeddings in AI workflows 63
5.2.3.2 Expansion of retrieval-augmented generation (RAG) to enable more accurate AI outputs 63
5.2.4 CHALLENGES 64
5.2.4.1 Lack of standardization across vector indexing techniques 64
5.2.4.2 Data privacy and security concerns 64
5.3 UNMET NEEDS AND WHITE SPACES 65
5.3.1 UNMET NEEDS IN VECTOR DATABASES 65
5.3.2 WHITE SPACE OPPORTUNITIES 65
5.4 INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES 66
5.4.1 INTERCONNECTED MARKETS 66
5.4.2 CROSS-SECTOR OPPORTUNITIES 66
5.5 EMERGING BUSINESS MODELS AND ECOSYSTEM SHIFTS 67
5.5.1 EMERGING BUSINESS MODELS 67
5.5.2 ECOSYSTEM SHIFTS 67
5.6 STRATEGIC MOVES BY TIER-1/2/3 PLAYERS 68
6 INDUSTRY TRENDS 69
6.1 PORTER’S FIVE FORCES ANALYSIS 69
6.1.1 THREAT OF NEW ENTRANTS 70
6.1.2 THREAT OF SUBSTITUTES 71
6.1.3 BARGAINING POWER OF SUPPLIERS 71
6.1.4 BARGAINING POWER OF BUYERS 71
6.1.5 INTENSITY OF COMPETITIVE RIVALRY 72
6.2 MACROECONOMICS INDICATORS 72
6.2.1 INTRODUCTION 72
6.2.2 GDP TRENDS AND FORECAST 72
6.2.3 TRENDS IN GLOBAL ICT INDUSTRY 74
6.3 SUPPLY CHAIN ANALYSIS 75
6.4 ECOSYSTEM ANALYSIS 78
6.5 PRICING ANALYSIS 80
6.5.1 AVERAGE SELLING PRICE OF VECTOR DATABASE SOLUTIONS, BY REGION, 2025 80
6.5.2 INDICATIVE PRICING ANALYSIS OF VECTOR DATABASE SOLUTIONS, BY KEY PLAYER, 2025 80
6.6 KEY CONFERENCES AND EVENTS, 2026 83
6.7 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 83
6.8 INVESTMENT AND FUNDING SCENARIO 84
6.9 CASE STUDY ANALYSIS 85
6.9.1 PINECONE ENABLED VANGUARD TO BOOST CUSTOMER SUPPORT WITH FASTER CALLS AND 12% MORE ACCURATE RESPONSES 85
6.9.2 L’ORÉAL IMPROVED APP PERFORMANCE AND VELOCITY WITH MONGODB ATLAS 86
6.9.3 FILEVINE AND ZILLIZ CLOUD: TRANSFORMING LEGAL CASE MANAGEMENT WITH VECTOR SEARCH 87
6.9.4 SUPERLINKED REVOLUTIONIZED PERSONALIZATION WITH REDIS ENTERPRISE’S VECTOR DATABASE 87
6.9.5 ELASTIC HELPED GLOBAL E-COMMERCE RETAILER ENHANCE PRODUCT DISCOVERY AND RECOMMENDATIONS 88
6.9.6 ELASTIC ENABLED SEMANTIC AND HYBRID SEARCH FOR GLOBAL FINANCIAL SERVICES PROVIDER 89
6.9.7 ELASTIC HELPED MAJOR TELECOM AND MEDIA PROVIDER ENHANCE CONTENT DISCOVERY 89
6.10 IMPACT OF 2025 US TARIFF – VECTOR DATABASE MARKET 90
6.10.1 INTRODUCTION 90
6.10.2 KEY TARIFF RATES 90
6.10.3 PRICE IMPACT ANALYSIS 91
6.10.4 IMPACT ON COUNTRY/REGION 92
6.10.4.1 North America 92
6.10.4.1.1 US 92
6.10.4.1.2 Canada 92
6.10.4.1.3 Mexico 93
6.10.4.2 Europe 93
6.10.4.2.1 Germany 93
6.10.4.2.2 France 93
6.10.4.2.3 UK 94
6.10.4.3 Asia Pacific 94
6.10.4.3.1 China 94
6.10.4.3.2 India 94
7 TECHNOLOGICAL ADVANCEMENTS: AI-DRIVEN IMPACT, PATENTS,
AND INNOVATIONS 96
7.1 KEY EMERGING TECHNOLOGIES 96
7.1.1 EMBEDDING MODELS (TEXT, IMAGE, AUDIO, MULTIMODAL) 96
7.1.2 APPROXIMATE NEAREST NEIGHBOR (ANN) SEARCH ALGORITHMS 96
7.1.3 VECTOR INDEXING AND STORAGE ENGINES 97
7.1.4 GPU AND AI ACCELERATORS 97
7.2 COMPLEMENTARY TECHNOLOGIES 97
7.2.1 LARGE LANGUAGE MODELS (LLMS) 97
7.2.2 RETRIEVAL-AUGMENTED GENERATION (RAG) FRAMEWORKS 98
7.2.3 DATA ORCHESTRATION AND ETL PIPELINES 98
7.3 TECHNOLOGY/PRODUCT ROADMAP 99
7.3.1 SHORT-TERM (2025–2027) | FOUNDATION & AI ALIGNMENT 99
7.3.2 MID-TERM (2027–2030) | STANDARDIZATION & ECOSYSTEM EXPANSION 99
7.3.3 LONG-TERM (2030–2035+) | MASS ADOPTION & INTELLIGENT RETRIEVAL 100
7.4 PATENT ANALYSIS 101
7.4.1 LIST OF MAJOR PATENTS 102
7.5 IMPACT OF AI/GENERATIVE AI ON VECTOR DATABASE MARKET 104
7.5.1 CASE STUDY 105
7.5.1.1 Automating CSR generation through retrieval-augmented generation (RAG) 105
7.5.2 VENDOR INITIATIVES 106
7.5.2.1 Zilliz expands to Azure North Europe, accelerating AI-powered vector search for European enterprises 106
7.5.2.2 Redis redefines vector database intelligence with Vector Sets, LangCache, and Featureform integration 106
7.5.3 INTERCONNECTED ADJACENT ECOSYSTEM AND IMPACT ON MARKET PLAYERS 107
8 REGULATORY LANDSCAPE 108
8.1 INTRODUCTION 108
8.2 REGIONAL REGULATIONS AND COMPLIANCE 108
8.2.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 108
8.2.2 REGULATIONS, BY REGION 110
8.2.2.1 North America 110
8.2.2.2 Europe 111
8.2.2.3 Asia Pacific 112
8.2.2.4 Middle East & Africa 113
8.2.2.5 Latin America 113
8.2.3 INDUSTRY STANDARDS 113
8.2.3.1 General Data Protection Regulation 113
8.2.3.2 SEC Rule 17a-4 113
8.2.3.3 ISO/IEC 27001 114
8.2.3.4 COBIT (Control Objectives for Information and Related Technologies) 114
8.2.3.5 ISA (International Society of Automation) 114
8.2.3.6 System and Organization Controls 2 Type II 114
8.2.3.7 Financial Industry Regulatory Authority 114
8.2.3.8 Freedom of Information Act 114
8.2.3.9 Health Insurance Portability and Accountability Act 115
9 CUSTOMER LANDSCAPE AND BUYING BEHAVIOR 116
9.1 DECISION-MAKING PROCESS 116
9.2 KEY STAKEHOLDERS INVOLVED IN BUYING PROCESS AND THEIR EVALUATION CRITERIA 117
9.2.1 KEY STAKEHOLDERS IN BUYING PROCESS 117
9.2.2 BUYING CRITERIA 118
9.3 ADOPTION BARRIERS AND INTERNAL CHALLENGES 119
9.4 UNMET NEEDS IN VARIOUS END-USE INDUSTRIES 120
10 VECTOR DATABASE MARKET, BY TYPE 122
10.1 INTRODUCTION 123
10.2 NATIVE VECTOR DBS 124
10.2.1 OPTIMIZED SINGLE-MODALITY VECTOR MANAGEMENT FUELS GROWTH IN VECTOR DATABASE MARKET 124
10.3 MULTIMODAL VECTOR DBS 125
10.3.1 MULTIMODAL VECTOR INTEGRATION ENHANCES DATA DIVERSITY,
DRIVING VECTOR DATABASE MARKET GROWTH 125
11 VECTOR DATABASE MARKET, BY OFFERING 126
11.1 INTRODUCTION 127
11.2 VECTOR DATABASE SOLUTIONS 128
11.2.1 VECTOR GENERATION & INDEXING 130
11.2.1.1 Vector Generation & Indexing Enhances Speed and Precision in Data Processing 130
11.2.1.2 Embedding Models 131
11.2.1.3 Index Structures 131
11.2.2 VECTOR SEARCH & QUERY PROCESSING 131
11.2.2.1 Vector Search & Query Processing Enables Real-time, High-accuracy Information Retrieval 131
11.2.2.2 Approximate Nearest Neighbor (ANN) 132
11.2.2.3 Multimodal Search 133
11.2.2.4 Query Ranking & Scoring Optimization 133
11.2.3 VECTOR STORAGE & RETRIEVAL 133
11.2.3.1 Scalable Vector Storage & Retrieval Solutions Improve Performance and Data Accessibility 133
11.2.3.2 In-memory 134
11.2.3.3 Disk-based 135
11.2.3.4 Hybrid Storage 135
11.3 SERVICES 135
11.3.1 PROFESSIONAL SERVICES 137
11.3.1.1 Professional Services Drives Effective Deployment and Customization of Vector Databases 137
11.3.1.2 Implementation & Integration 138
11.3.1.3 Training & Consulting 139
11.3.1.4 Support & Maintenance 140
11.3.2 MANAGED SERVICES 141
11.3.2.1 Managed Services Delivering Consistent Operations and Optimized Vector Database Management 141
12 VECTOR DATABASE MARKET, BY TECHNOLOGY/AI APPLICATION 142
12.1 INTRODUCTION 143
12.2 NATURAL LANGUAGE PROCESSING 144
12.2.1 NATURAL LANGUAGE PROCESSING ENABLES PRECISE TEXT ANALYSIS AND FASTER CUSTOMER INTERACTIONS 144
12.2.2 SEMANTIC SEARCH 145
12.2.3 TEXT EMBEDDING 145
12.2.4 SENTIMENT ANALYSIS 145
12.2.5 CHATBOTS & VIRTUAL ASSISTANTS 146
12.2.6 OTHERS 146
12.3 COMPUTER VISION 146
12.3.1 COMPUTER VISION AUTOMATES VISUAL INSPECTION AND IMPROVES DETECTION ACCURACY 146
12.3.2 IMAGE/VIDEO EMBEDDING 147
12.3.3 OBJECT DETECTION 148
12.3.4 OTHERS 148
12.4 RECOMMENDATION SYSTEMS 148
12.4.1 RECOMMENDATION SYSTEMS PERSONALIZE OFFERS TO BOOST SALES AND USER ENGAGEMENT 148
12.4.2 COLLABORATIVE FILTERING 149
12.4.3 CONTENT-BASED FILTERING 150
12.4.4 SESSION-BASED RECOMMENDATIONS 150
12.4.5 OTHERS 150
12.5 OTHERS (GRAPH-AUGMENTED RETRIEVAL AND AUDIO & SPEECH) 151
13 VECTOR DATABASE MARKET, BY DEPLOYMENT TYPE 152
13.1 INTRODUCTION 153
13.2 CLOUD 154
13.2.1 CLOUD DEPLOYMENT DRIVES SCALABILITY AND COST EFFICIENCY FOR GROWING DATA NEEDS 154
13.3 ON-PREMISES 155
13.3.1 ON-PREMISES DEPLOYMENT ENSURES DATA CONTROL AND COMPLIANCE FOR SENSITIVE WORKLOADS 155
14 VECTOR DATABASE MARKET, BY DATA TYPE 156
14.1 INTRODUCTION 157
14.2 SIMPLE TEXT DATA 158
14.2.1 SIMPLE TEXT DATA ENABLES EFFICIENT PROCESSING OF LARGE-SCALE UNSTRUCTURED INFORMATION 158
14.3 HYBRID & MULTIMODAL DATA 159
14.3.1 HYBRID & MULTIMODAL DATA INTEGRATES DIVERSE FORMATS TO IMPROVE CONTEXTUAL SEARCH ACCURACY 159
14.4 ADVANCED DATA 160
14.4.1 ADVANCED DATA SUPPORTS COMPLEX ANALYTICS THROUGH RICH, HIGH-DIMENSIONAL INFORMATION 160
15 VECTOR DATABASE MARKET, BY VERTICAL 161
15.1 INTRODUCTION 162
15.2 BFSI 163
15.2.1 BFSI IMPROVES DATA-DRIVEN DECISION-MAKING THROUGH EFFICIENT SIMILARITY SEARCHES 163
15.2.2 BFSI: USE CASES 164
15.2.2.1 Fraud Detection 164
15.2.2.2 Credit Risk Assessment 165
15.2.2.3 Customer Support Automation 165
15.3 RETAIL & E-COMMERCE 165
15.3.1 RETAIL & E-COMMERCE ENHANCE PRODUCT DISCOVERY WITH SCALABLE VECTOR SEARCH 165
15.3.2 RETAIL & E-COMMERCE: USE CASES 166
15.3.2.1 Visual Search 166
15.3.2.2 Personalized Recommendations 167
15.3.2.3 Dynamic Pricing 167
15.4 HEALTHCARE & LIFE SCIENCES 167
15.4.1 HEALTHCARE & LIFE SCIENCES ACCELERATE COMPLEX DATA MATCHING FOR RESEARCH AND DIAGNOSTICS 167
15.4.2 HEALTHCARE & LIFE SCIENCES: USE CASES 168
15.4.2.1 Medical Imaging Retrieval 168
15.4.2.2 Genomic Sequence Matching 169
15.4.2.3 Clinical Trial Matching 169
15.5 IT & ITES 169
15.5.1 IT & ITES ENABLE FAST SEMANTIC CODE AND LOG RETRIEVAL FOR BETTER DEVELOPMENT AND SECURITY 169
15.5.2 IT & ITES: USE CASES 170
15.5.2.1 Code Search & Reuse 170
15.5.2.2 Intelligent Ticket Routing 171
15.5.2.3 Cybersecurity Threat Detection 171
15.6 MEDIA & ENTERTAINMENT 171
15.6.1 MEDIA & ENTERTAINMENT FACILITATE MULTIMODAL CONTENT SEARCH AND METADATA MANAGEMENT 171
15.6.2 MEDIA & ENTERTAINMENT: USE CASES 172
15.6.2.1 Content-based Video Recommendation 172
15.6.2.2 Automated Metadata Tagging 173
15.6.2.3 Copyright Infringement Detection 173
15.7 MANUFACTURING & IIOT 173
15.7.1 MANUFACTURING & IIOT SUPPORT REAL-TIME SENSOR DATA ANALYSIS FOR OPERATIONAL INSIGHTS 173
15.7.2 MANUFACTURING & IIOT: USE CASES 174
15.7.2.1 Predictive Maintenance 174
15.7.2.2 Quality Control 175
15.7.2.3 Supply Chain Optimization 175
15.8 GOVERNMENT & DEFENSE 175
15.8.1 GOVERNMENT & DEFENSE STRENGTHEN MULTISOURCE DATA FUSION FOR INTELLIGENCE APPLICATIONS 175
15.8.2 GOVERNMENT & DEFENSE: USE CASES 176
15.8.2.1 Intelligence Analysis 176
15.8.2.2 Surveillance and Object Recognition 177
15.8.2.3 Cybersecurity Monitoring 177
15.9 AUTOMOTIVE & TRANSPORTATION 177
15.9.1 AUTOMOTIVE & TRANSPORTATION ENHANCING SENSOR DATA PROCESSING FOR ADVANCED ANALYTICS 177
15.9.2 AUTOMOTIVE & TRANSPORTATION: USE CASES 178
15.9.2.1 Autonomous Vehicle Perception 178
15.9.2.2 Route Optimization 179
15.9.2.3 Predictive Maintenance 179
15.10 OTHER VERTICALS (EDUCATION & RESEARCH, ENERGY & UTILITIES, ROBOTICS) 179
16 VECTOR DATABASE MARKET, BY REGION 181
16.1 INTRODUCTION 182
16.1.1 NORTH AMERICA 183
16.1.2 US 189
16.1.2.1 Government AI Initiatives and Expanding Data Ecosystems Accelerate US Vector Database Market Growth 189
16.1.3 CANADA 190
16.1.3.1 AI Infrastructure Expansion and Startup Innovation Drive Canada’s Vector Database Market 190
16.2 EUROPE 191
16.2.1 UK 197
16.2.1.1 AI-led Research Transformation and Data Modernization Fuel UK’s Vector Database Growth 197
16.2.2 GERMANY 198
16.2.2.1 AI Infrastructure Expansion and Retail Intelligence Accelerate Germany’s Vector Database Market 198
16.2.3 FRANCE 199
16.2.3.1 Advancing AI-driven Retail Infrastructure to Propel France’s Vector Database Adoption 199
16.2.4 ITALY 200
16.2.4.1 AI Infrastructure Expansion and Smart City Initiatives Propel Italy’s Vector Database Potential 200
16.2.5 REST OF EUROPE 201
16.3 ASIA PACIFIC 202
16.3.1 CHINA 209
16.3.1.1 National AI Strategy and Robotics Innovation Power Vector Database Growth in China 209
16.3.2 JAPAN 210
16.3.2.1 Rising AI Adoption in Healthcare Demand for Advanced Data Management Frameworks in Japan 210
16.3.3 AUSTRALIA & NEW ZEALAND 211
16.3.3.1 Neocloud Growth, Sovereign AI Projects, and GPU Clouds Expand Vector Database Demand in Australia & New Zealand 211
16.3.4 REST OF ASIA PACIFIC 212
16.4 MIDDLE EAST & AFRICA 213
16.4.1 GCC COUNTRIES 219
16.4.1.1 KSA 221
16.4.1.1.1 Saudi Arabia Accelerates AI and Gaming Infrastructure, Boosting Demand for Vector Databases 221
16.4.1.2 UAE 221
16.4.1.2.1 UAE Accelerates AI-led Economic Shift With Expanding Vector Infrastructure 221
16.4.1.3 Rest of GCC Countries 222
16.4.2 SOUTH AFRICA 223
16.4.2.1 AI-powered Public Services Push South Africa Toward Advanced Vector Data Platforms 223
16.4.3 REST OF MIDDLE EAST & AFRICA 224
16.5 LATIN AMERICA 225
16.5.1 BRAZIL 231
16.5.1.1 Strengthening Brazil’s AI and Gaming Infrastructure Through Vector-centric Technologies 231
16.5.2 MEXICO 232
16.5.2.1 AI-driven Cultural and Healthcare Advances Strengthen Mexico’s Vector Database Needs 232
16.5.3 REST OF LATIN AMERICA 233
17 COMPETITIVE LANDSCAPE 234
17.1 INTRODUCTION 234
17.2 KEY PLAYER STRATEGIES/RIGHT TO WIN 234
17.3 REVENUE ANALYSIS, 2020–2024 236
17.4 MARKET SHARE ANALYSIS, 2024 237
17.5 PRODUCT COMPARISON 240
17.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024 242
17.6.1 STARS 243
17.6.2 EMERGING LEADERS 243
17.6.3 PERVASIVE PLAYERS 243
17.6.4 PARTICIPANTS 243
17.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024 245
17.6.5.1 Company footprint 245
17.6.5.2 Region footprint 246
17.6.5.3 Offering footprint 246
17.6.5.4 Vertical footprint 247
17.7 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024 247
17.7.1 PROGRESSIVE COMPANIES 247
17.7.2 RESPONSIVE COMPANIES 247
17.7.3 DYNAMIC COMPANIES 248
17.7.4 STARTING BLOCKS 248
17.7.5 COMPETITIVE BENCHMARKING: STARTUP/SMES, 2024 249
17.7.5.1 Detailed list of key startups/SMEs 249
17.7.5.2 Competitive benchmarking of key startups/SMEs 250
17.8 COMPANY VALUATION AND FINANCIAL METRICS 250
17.8.1 COMPANY VALUATION OF KEY VENDORS 250
17.8.2 FINANCIAL METRICS OF KEY VENDORS 251
17.9 COMPETITIVE SCENARIO 252
17.9.1 PRODUCT LAUNCHES 252
17.9.2 DEALS 254
18 COMPANY PROFILES 258
18.1 INTRODUCTION 258
18.2 MAJOR PLAYERS 258
18.2.1 MICROSOFT 258
18.2.1.1 Business overview 258
18.2.1.2 Products/Solutions/Services offered 259
18.2.1.3 Recent developments 260
18.2.1.3.1 Product launches/enhancements 260
18.2.1.3.2 Deals 261
18.2.1.4 MnM view 262
18.2.1.4.1 Right to win 262
18.2.1.4.2 Strategic choices 262
18.2.1.4.3 Weaknesses and competitive threats 262
18.2.2 ELASTIC 263
18.2.2.1 Business overview 263
18.2.2.2 Products/Solutions/Services offered 264
18.2.2.3 Recent developments 265
18.2.2.3.1 Product launches/enhancements 265
18.2.2.3.2 Deals 266
18.2.2.4 MnM view 267
18.2.2.4.1 Right to win 267
18.2.2.4.2 Strategic choices 267
18.2.2.4.3 Weaknesses and competitive threats 268
18.2.3 MONGODB 269
18.2.3.1 Business overview 269
18.2.3.2 Products/Solutions/Services offered 270
18.2.3.3 Recent developments 271
18.2.3.3.1 Product launches/enhancements 271
18.2.3.3.2 Deals 271
18.2.3.4 MnM view 272
18.2.3.4.1 Right to win 272
18.2.3.4.2 Strategic choices 272
18.2.3.4.3 Weaknesses and competitive threats 272
18.2.4 GOOGLE 273
18.2.4.1 Business overview 273
18.2.4.2 Products/Solutions/Services offered 274
18.2.4.3 Recent developments 275
18.2.4.3.1 Product launches/enhancements 275
18.2.4.3.2 Deals 275
18.2.4.4 MnM view 276
18.2.4.4.1 Right to win 276
18.2.4.4.2 Strategic choices 276
18.2.4.4.3 Weaknesses and competitive threats 276
18.2.5 AWS 277
18.2.5.1 Business overview 277
18.2.5.2 Products/Solutions/Services offered 278
18.2.5.3 Recent developments 279
18.2.5.3.1 Product launches/enhancements 279
18.2.5.3.2 Deals 280
18.2.5.4 MnM view 280
18.2.5.4.1 Right to win 280
18.2.5.4.2 Strategic choices 281
18.2.5.4.3 Weaknesses and competitive threats 281
18.2.6 REDIS 282
18.2.6.1 Business overview 282
18.2.6.2 Products/Solutions/Services offered 282
18.2.6.3 Recent developments 283
18.2.6.3.1 Product launches/enhancements 283
18.2.6.3.2 Deals 283
18.2.7 ALIBABA CLOUD 284
18.2.7.1 Business overview 284
18.2.7.2 Products/Solutions/Services offered 285
18.2.7.3 Recent developments 286
18.2.7.3.1 Product launches/enhancements 286
18.2.7.3.2 Deals 286
18.2.8 DATASTAX 287
18.2.8.1 Business overview 287
18.2.8.2 Products/Solutions/Services offered 288
18.2.8.3 Recent developments 288
18.2.8.3.1 Product launches/enhancements 288
18.2.8.3.2 Deals 289
18.2.9 SINGLESTORE 290
18.2.9.1 Business overview 290
18.2.9.2 Products/Solutions/Services offered 291
18.2.9.3 Recent developments 291
18.2.9.3.1 Deals 291
18.2.10 PINECONE 292
18.2.10.1 Business overview 292
18.2.10.2 Products/Solutions/Services offered 293
18.2.10.3 Recent developments 293
18.2.10.3.1 Product launches/enhancements 293
18.2.10.3.2 Deals 293
18.3 OTHER PLAYERS 294
18.3.1 ZILLIZ 294
18.3.2 KX 295
18.3.3 MARQO.AI 296
18.3.4 ACTIVELOOP 297
18.3.5 SUPABASE 298
18.3.6 JINA AI 299
18.3.7 TYPESENSE 300
18.3.8 GSI TECHNOLOGY 301
18.3.9 KINETICA 302
18.3.10 QDRANT 303
18.3.11 WEAVIATE 304
18.3.12 CLICKHOUSE 305
18.3.13 OPENSEARCH 306
18.3.14 VESPA.AI 307
18.3.15 LANCEDB 308
19 ADJACENT/RELATED MARKETS 309
19.1 INTRODUCTION 309
19.1.1 RELATED MARKETS 309
19.1.2 LIMITATIONS 309
19.2 GENERATIVE AI MARKET 309
19.3 NATURAL LANGUAGE PROCESSING (NLP) MARKET 311
20 APPENDIX 313
20.1 DISCUSSION GUIDE 313
20.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 318
20.3 CUSTOMIZATION OPTIONS 320
20.4 RELATED REPORTS 320
20.5 AUTHOR DETAILS 321
LIST OF TABLES
TABLE 1 INCLUSIONS AND EXCLUSIONS 34
TABLE 2 USD EXCHANGE RATES, 2019–2024 36
TABLE 3 KEY DATA FROM PRIMARY SOURCES 41
TABLE 4 FACTOR ANALYSIS 49
TABLE 5 RESEARCH ASSUMPTIONS 50
TABLE 6 STRATEGIC MOVES BY TIER-1/2/3 PLAYERS 68
TABLE 7 IMPACT OF PORTER’S FIVE FORCES ON VECTOR DATABASE MARKET 69
TABLE 8 GDP PERCENTAGE CHANGE, BY KEY COUNTRY, 2021–2029 72
TABLE 9 ROLE OF PLAYERS IN VECTOR DATABASE MARKET ECOSYSTEM 79
TABLE 10 INDICATIVE PRICING ANALYSIS OF VECTOR DATABASE SOLUTIONS,
BY KEY PLAYER, 2025 81
TABLE 11 VECTOR DATABASE MARKET: KEY CONFERENCES AND EVENTS, 2026 83
TABLE 12 US ADJUSTED RECIPROCAL TARIFF RATES 90
TABLE 13 EXPECTED CHANGE IN PRICES AND LIKELY IMPACT ON END-USER MARKET
DUE TO TARIFF IMPACT 91
TABLE 14 LIST OF MAJOR PATENTS, 2023–2025 102
TABLE 15 INTERCONNECTED ADJACENT ECOSYSTEM AND IMPACT ON MARKET PLAYERS 107
TABLE 16 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 108
TABLE 17 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 109
TABLE 18 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 109
TABLE 19 REST OF THE WORLD: REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS 110
TABLE 20 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS 117
TABLE 21 KEY BUYING CRITERIA FOR TOP THREE VERTICALS 118
TABLE 22 VECTOR DATABASE MARKET: UNMET NEEDS IN KEY END-USE INDUSTRIES 120
TABLE 23 VECTOR DATABASE MARKET, BY TYPE, 2020–2024 (USD MILLION) 123
TABLE 24 VECTOR DATABASE MARKET, BY TYPE, 2025–2030 (USD MILLION) 123
TABLE 25 NATIVE VECTOR DBS: VECTOR DATABASE MARKET, BY REGION,
2020–2024 (USD MILLION) 124
TABLE 26 NATIV VECTOR DBS: VECTOR DATABASE MARKET, BY REGION,
2025–2030 (USD MILLION) 124
TABLE 27 MULTIMODAL VECTOR DBS: VECTOR DATABASE MARKET,
BY REGION, 2020–2024 (USD MILLION) 125
TABLE 28 MULTIMODAL VECTOR DBS: VECTOR DATABASE MARKET,
BY REGION, 2025–2030 (USD MILLION) 125
TABLE 29 VECTOR DATABASE MARKET, BY OFFERING, 2020–2024 (USD MILLION) 127
TABLE 30 VECTOR DATABASE MARKET, BY OFFERING, 2025–2030 (USD MILLION) 127
TABLE 31 VECTOR DATABASE SOLUTIONS: VECTOR DATABASE MARKET,
BY REGION, 2020–2024 (USD MILLION) 128
TABLE 32 VECTOR DATABASE SOLUTIONS: VECTOR DATABASE MARKET,
BY REGION, 2025–2030 (USD MILLION) 128
TABLE 33 VECTOR DATABASE MARKET, BY VECTOR DATABASE SOLUTION,
2020–2024 (USD MILLION) 129
TABLE 34 VECTOR DATABASE MARKET, BY VECTOR DATABASE SOLUTION,
2025–2030 (USD MILLION) 129
TABLE 35 VECTOR GENERATION & INDEXING: VECTOR DATABASE MARKET,
BY REGION, 2020–2024 (USD MILLION) 130
TABLE 36 VECTOR GENERATION & INDEXING: VECTOR DATABASE MARKET,
BY REGION, 2025–2030 (USD MILLION) 130
TABLE 37 VECTOR SEARCH & QUERY PROCESSING: VECTOR DATABASE MARKET,
BY REGION, 2020–2024 (USD MILLION) 132
TABLE 38 VECTOR SEARCH & QUERY PROCESSING: VECTOR DATABASE MARKET,
BY REGION, 2025–2030 (USD MILLION) 132
TABLE 39 VECTOR STORAGE & RETRIEVAL: VECTOR DATABASE MARKET,
BY REGION, 2020–2024 (USD MILLION) 134
TABLE 40 VECTOR STORAGE & RETRIEVAL: VECTOR DATABASE MARKET,
BY REGION, 2025–2030 (USD MILLION) 134
TABLE 41 SERVICES: VECTOR DATABASE MARKET, BY REGION, 2020–2024 (USD MILLION) 136
TABLE 42 SERVICES: VECTOR DATABASE MARKET, BY REGION, 2025–2030 (USD MILLION) 136
TABLE 43 VECTOR DATABASE MARKET, BY PROFESSIONAL SERVICE,
2020–2024 (USD MILLION) 136
TABLE 44 VECTOR DATABASE MARKET, BY PROFESSIONAL SERVICE,
2025–2030 (USD MILLION) 136
TABLE 45 PROFESSIONAL SERVICES: VECTOR DATABASE MARKET,
BY REGION, 2020–2024 (USD MILLION) 137
TABLE 46 PROFESSIONAL SERVICES: VECTOR DATABASE MARKET,
BY REGION, 2025–2030 (USD MILLION) 137
TABLE 47 IMPLEMENTATION & INTEGRATION: VECTOR DATABASE MARKET,
BY REGION, 2020–2024 (U USD MILLION) 138
TABLE 48 IMPLEMENTATION & INTEGRATION: VECTOR DATABASE MARKET,
BY REGION, 2025–2030 (USD MILLION) 138
TABLE 49 TRAINING & CONSULTATION: VECTOR DATABASE MARKET,
BY REGION, 2020–2024 (USD MILLION) 139
TABLE 50 TRAINING & CONSULTATION: VECTOR DATABASE MARKET,
BY REGION, 2025–2030 (USD MILLION) 139
TABLE 51 SUPPORT & MAINTENANCE: VECTOR DATABASE MARKET,
BY REGION, 2020–2024 (USD MILLION) 140
TABLE 52 SUPPORT & MAINTENANCE: VECTOR DATABASE MARKET,
BY REGION, 2025–2030 (USD MILLION) 140
TABLE 53 MANAGED SERVICES: VECTOR DATABASE MARKET, BY REGION,
2020–2024 (USD MILLION) 141
TABLE 54 MANAGED SERVICES: VECTOR DATABASE MARKET, BY REGION,
2025–2030 (USD MILLION) 141
TABLE 55 VECTOR DATABASE MARKET, BY TECHNOLOGY/AI APPLICATION,
2020–2024 (USD MILLION) 143
TABLE 56 VECTOR DATABASE MARKET, BY TECHNOLOGY/AI APPLICATION,
2025–2030 (USD MILLION) 143
TABLE 57 NATURAL LANGUAGE PROCESSING: VECTOR DATABASE MARKET,
BY REGION, 2020–2024 (USD MILLION) 144
TABLE 58 NATURAL LANGUAGE PROCESSING: VECTOR DATABASE MARKET,
BY REGION, 2025–2030 (USD MILLION) 144
TABLE 59 COMPUTER VISION: VECTOR DATABASE MARKET, BY REGION,
2020–2024 (USD MILLION) 147
TABLE 60 COMPUTER VISION: VECTOR DATABASE MARKET, BY REGION,
2025–2030 (USD MILLION) 147
TABLE 61 RECOMMENDATION SYSTEMS: VECTOR DATABASE MARKET,
BY REGION, 2020–2024 (USD MILLION) 149
TABLE 62 RECOMMENDATION SYSTEMS: VECTOR DATABASE MARKET,
BY REGION, 2025–2030 (USD MILLION) 149
TABLE 63 OTHERS: VECTOR DATABASE MARKET, BY REGION, 2020–2024 (USD MILLION) 151
TABLE 64 OTHERS: VECTOR DATABASE MARKET, BY REGION, 2025–2030 (USD MILLION) 151
TABLE 65 VECTOR DATABASE MARKET, BY DEPLOYMENT TYPE, 2020–2024 (USD MILLION) 153
TABLE 66 VECTOR DATABASE MARKET, BY DEPLOYMENT TYPE, 2025–2030 (USD MILLION) 153
TABLE 67 CLOUD: VECTOR DATABASE MARKET, BY REGION, 2020–2024 (USD MILLION) 154
TABLE 68 CLOUD: VECTOR DATABASE MARKET, BY REGION, 2025–2030 (USD MILLION) 154
TABLE 69 ON-PREMISES: VECTOR DATABASE MARKET, BY REGION,
2020–2024 (USD MILLION) 155
TABLE 70 ON-PREMISES: VECTOR DATABASE MARKET, BY REGION,
2025–2030 (USD MILLION) 155
TABLE 71 VECTOR DATABASE MARKET, BY DATA TYPE, 2020–2024 (USD MILLION) 157
TABLE 72 VECTOR DATABASE MARKET, BY DATA TYPE, 2025–2030 (USD MILLION) 157
TABLE 73 SIMPLE TEXT DATA: VECTOR DATABASE MARKET, BY REGION,
2020–2024 (USD MILLION) 158
TABLE 74 SIMPLE TEXT DATA: VECTOR DATABASE MARKET, BY REGION,
2025–2030 (USD MILLION) 158
TABLE 75 HYBRID & MULTIMODAL DATA: VECTOR DATABASE MARKET,
BY REGION, 2020–2024 (USD MILLION) 159
TABLE 76 HYBRID & MULTIMODAL DATA: VECTOR DATABASE MARKET,
BY REGION, 2025–2030 (USD MILLION) 159
TABLE 77 ADVANCED DATA: VECTOR DATABASE MARKET, BY REGION,
2020–2024 (USD MILLION) 160
TABLE 78 ADVANCED DATA: VECTOR DATABASE MARKET, BY REGION,
2025–2030 (USD MILLION) 160
TABLE 79 VECTOR DATABASE MARKET, BY VERTICAL, 2020–2024 (USD MILLION) 163
TABLE 80 VECTOR DATABASE MARKET, BY VERTICAL, 2025–2030 (USD MILLION) 163
TABLE 81 BFSI: VECTOR DATABASE MARKET, BY REGION, 2020–2024 (USD MILLION) 164
TABLE 82 BFSI: VECTOR DATABASE MARKET, BY REGION, 2025–2030 (USD MILLION) 164
TABLE 83 RETAIL & E-COMMERCE: VECTOR DATABASE MARKET, BY REGION,
2020–2024 (USD MILLION) 166
TABLE 84 RETAIL & E-COMMERCE: VECTOR DATABASE MARKET, BY REGION,
2025–2030 (USD MILLION) 166
TABLE 85 HEALTHCARE & LIFE SCIENCES: VECTOR DATABASE MARKET,
BY REGION, 2020–2024 (USD MILLION) 168
TABLE 86 HEALTHCARE & LIFE SCIENCES: VECTOR DATABASE MARKET,
BY REGION, 2025–2030 (USD MILLION) 168
TABLE 87 IT & ITES: VECTOR DATABASE MARKET, BY REGION, 2020–2024 (USD MILLION) 170
TABLE 88 IT & ITES: VECTOR DATABASE MARKET, BY REGION, 2025–2030 (USD MILLION) 170
TABLE 89 MEDIA & ENTERTAINMENT: VECTOR DATABASE MARKET,
BY REGION, 2020–2024 (USD MILLION) 172
TABLE 90 MEDIA & ENTERTAINMENT: VECTOR DATABASE MARKET,
BY REGION, 2025–2030 (USD MILLION) 172
TABLE 91 MANUFACTURING & IIOT: VECTOR DATABASE MARKET,
BY REGION, 2020–2024 (USD MILLION) 174
TABLE 92 MANUFACTURING & IIOT: VECTOR DATABASE MARKET,
BY REGION, 2025–2030 (USD MILLION) 174
TABLE 93 GOVERNMENT & DEFENSE: VECTOR DATABASE MARKET,
BY REGION, 2020–2024 (USD MILLION) 176
TABLE 94 GOVERNMENT & DEFENSE: VECTOR DATABASE MARKET,
BY REGION, 2025–2030 (USD MILLION) 176
TABLE 95 AUTOMOTIVE & TRANSPORTATION: VECTOR DATABASE MARKET,
BY REGION, 2020–2024 (USD MILLION) 178
TABLE 96 AUTOMOTIVE & TRANSPORTATION: VECTOR DATABASE MARKET,
BY REGION, 2025–2030 (USD MILLION) 178
TABLE 97 OTHER VERTICALS: VECTOR DATABASE MARKET, BY REGION,
2020–2024 (USD MILLION) 180
TABLE 98 OTHER VERTICALS: VECTOR DATABASE MARKET, BY REGION,
2025–2030 (USD MILLION) 180
TABLE 99 VECTOR DATABASE MARKET, BY REGION, 2020–2024 (USD MILLION) 182
TABLE 100 VECTOR DATABASE MARKET, BY REGION, 2025–2030 (USD MILLION) 182
TABLE 101 NORTH AMERICA: VECTOR DATABASE MARKET, BY TYPE,
2020–2024 (USD MILLION) 184
TABLE 102 NORTH AMERICA: VECTOR DATABASE MARKET, BY TYPE,
2025–2030 (USD MILLION) 184
TABLE 103 NORTH AMERICA: VECTOR DATABASE MARKET, BY OFFERING,
2020–2024 (USD MILLION) 184
TABLE 104 NORTH AMERICA: VECTOR DATABASE MARKET, BY OFFERING,
2025–2030 (USD MILLION) 184
TABLE 105 NORTH AMERICA: VECTOR DATABASE MARKET, BY SOLUTION,
2020–2024 (USD MILLION) 185
TABLE 106 NORTH AMERICA: VECTOR DATABASE MARKET, BY VECTOR DATABASE SOLUTION, 2025–2030 (USD MILLION) 185
TABLE 107 NORTH AMERICA: VECTOR DATABASE MARKET, BY SERVICE,
2020–2024 (USD MILLION) 185
TABLE 108 NORTH AMERICA: VECTOR DATABASE MARKET, BY SERVICE,
2025–2030 (USD MILLION) 185
TABLE 109 NORTH AMERICA: VECTOR DATABASE MARKET, BY PROFESSIONAL SERVICE, 2020–2024 (USD MILLION) 186
TABLE 110 NORTH AMERICA: VECTOR DATABASE MARKET, BY PROFESSIONAL SERVICE, 2025–2030 (USD MILLION) 186
TABLE 111 NORTH AMERICA: VECTOR DATABASE MARKET, BY TECHNOLOGY/AI APPLICATION, 2020–2024 (USD MILLION) 186
TABLE 112 NORTH AMERICA: VECTOR DATABASE MARKET, BY TECHNOLOGY/AI APPLICATION, 2025–2030 (USD MILLION) 187
TABLE 113 NORTH AMERICA: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2020–2024 (USD MILLION) 187
TABLE 114 NORTH AMERICA: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2025–2030 (USD MILLION) 187
TABLE 115 NORTH AMERICA: VECTOR DATABASE MARKET, BY DATA TYPE,
2020–2024 (USD MILLION) 187
TABLE 116 NORTH AMERICA: VECTOR DATABASE MARKET, BY DATA TYPE,
2025–2030 (USD MILLION) 188
TABLE 117 NORTH AMERICA: VECTOR DATABASE MARKET, BY VERTICAL,
2020–2024 (USD MILLION) 188
TABLE 118 NORTH AMERICA: VECTOR DATABASE MARKET, BY VERTICAL,
2025–2030 (USD MILLION) 188
TABLE 119 NORTH AMERICA: VECTOR DATABASE MARKET, BY COUNTRY,
2020–2024 (USD MILLION) 189
TABLE 120 NORTH AMERICA: VECTOR DATABASE MARKET, BY COUNTRY,
2025–2030 (USD MILLION) 189
TABLE 121 US: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2020–2024 (USD MILLION) 189
TABLE 122 US: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2025–2030 (USD MILLION) 190
TABLE 123 CANADA: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2020–2024 (USD MILLION) 190
TABLE 124 CANADA: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2025–2030 (USD MILLION) 191
TABLE 125 EUROPE: VECTOR DATABASE MARKET, BY TYPE, 2020–2024 (USD MILLION) 191
TABLE 126 EUROPE: VECTOR DATABASE MARKET, BY TYPE, 2025–2030 (USD MILLION) 192
TABLE 127 EUROPE: VECTOR DATABASE MARKET, BY OFFERING, 2020–2024 (USD MILLION) 192
TABLE 128 EUROPE: VECTOR DATABASE MARKET, BY OFFERING, 2025–2030 (USD MILLION) 192
TABLE 129 EUROPE: VECTOR DATABASE MARKET, BY VECTOR DATABASE SOLUTION,
2020–2024 (USD MILLION) 192
TABLE 130 EUROPE: VECTOR DATABASE MARKET, BY VECTOR DATABASE SOLUTION,
2025–2030 (USD MILLION) 193
TABLE 131 EUROPE: VECTOR DATABASE MARKET, BY SERVICE, 2020–2024 (USD MILLION) 193
TABLE 132 EUROPE: VECTOR DATABASE MARKET, BY SERVICE, 2025–2030 (USD MILLION) 193
TABLE 133 EUROPE: VECTOR DATABASE MARKET, BY PROFESSIONAL SERVICE,
2020–2024 (USD MILLION) 193
TABLE 134 EUROPE: VECTOR DATABASE MARKET, BY PROFESSIONAL SERVICE,
2025–2030 (USD MILLION) 194
TABLE 135 EUROPE: VECTOR DATABASE MARKET, BY TECHNOLOGY/AI APPLICATION,
2020–2024 (USD MILLION) 194
TABLE 136 EUROPE: VECTOR DATABASE MARKET, BY TECHNOLOGY/AI APPLICATION,
2025–2030 (USD MILLION) 194
TABLE 137 EUROPE: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2020–2024 (USD MILLION) 195
TABLE 138 EUROPE: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2025–2030 (USD MILLION) 195
TABLE 139 EUROPE: VECTOR DATABASE MARKET, BY DATA TYPE, 2020–2024 (USD MILLION) 195
TABLE 140 EUROPE: VECTOR DATABASE MARKET, BY DATA TYPE, 2025–2030 (USD MILLION) 195
TABLE 141 EUROPE: VECTOR DATABASE MARKET, BY VERTICAL, 2020–2024 (USD MILLION) 196
TABLE 142 EUROPE: VECTOR DATABASE MARKET, BY VERTICAL, 2025–2030 (USD MILLION) 196
TABLE 143 EUROPE: VECTOR DATABASE MARKET, BY COUNTRY, 2020–2024 (USD MILLION) 197
TABLE 144 EUROPE: VECTOR DATABASE MARKET, BY COUNTRY, 2025–2030 (USD MILLION) 197
TABLE 145 UK: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2020–2024 (USD MILLION) 198
TABLE 146 UK: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2025–2030 (USD MILLION) 198
TABLE 147 GERMANY: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2020–2024 (USD MILLION) 199
TABLE 148 GERMANY: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2025–2030 (USD MILLION) 199
TABLE 149 FRANCE: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2020–2024 (USD MILLION) 200
TABLE 150 FRANCE: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2025–2030 (USD MILLION) 200
TABLE 151 ITALY: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2020–2024 (USD MILLION) 201
TABLE 152 ITALY: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2025–2030 (USD MILLION) 201
TABLE 153 REST OF EUROPE: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2020–2024 (USD MILLION) 202
TABLE 154 REST OF EUROPE: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2025–2030 (USD MILLION) 202
TABLE 155 ASIA PACIFIC: VECTOR DATABASE MARKET, BY TYPE, 2020–2024 (USD MILLION) 203
TABLE 156 ASIA PACIFIC: VECTOR DATABASE MARKET, BY TYPE, 2025–2030 (USD MILLION) 203
TABLE 157 ASIA PACIFIC: VECTOR DATABASE MARKET, BY OFFERING,
2020–2024 (USD MILLION) 204
TABLE 158 ASIA PACIFIC: VECTOR DATABASE MARKET, BY OFFERING,
2025–2030 (USD MILLION) 204
TABLE 159 ASIA PACIFIC: VECTOR DATABASE MARKET, BY VECTOR DATABASE SOLUTION, 2020–2024 (USD MILLION) 204
TABLE 160 ASIA PACIFIC: VECTOR DATABASE MARKET, BY VECTOR DATABASE SOLUTION, 2025–2030 (USD MILLION) 204
TABLE 161 ASIA PACIFIC: VECTOR DATABASE MARKET, BY SERVICE,
2020–2024 (USD MILLION) 205
TABLE 162 ASIA PACIFIC: VECTOR DATABASE MARKET, BY SERVICE,
2025–2030 (USD MILLION) 205
TABLE 163 ASIA PACIFIC: VECTOR DATABASE MARKET, BY PROFESSIONAL SERVICE,
2020–2024 (USD MILLION) 205
TABLE 164 ASIA PACIFIC: VECTOR DATABASE MARKET, BY PROFESSIONAL SERVICE,
2025–2030 (USD MILLION) 205
TABLE 165 ASIA PACIFIC: VECTOR DATABASE MARKET, BY TECHNOLOGY/AI APPLICATION, 2020–2024 (USD MILLION) 206
TABLE 166 ASIA PACIFIC: VECTOR DATABASE MARKET, BY TECHNOLOGY/AI APPLICATION, 2025–2030 (USD MILLION) 206
TABLE 167 ASIA PACIFIC: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2020–2024 (USD MILLION) 206
TABLE 168 ASIA PACIFIC: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2025–2030 (USD MILLION) 206
TABLE 169 ASIA PACIFIC: VECTOR DATABASE MARKET, BY DATA TYPE,
2020–2024 (USD MILLION) 207
TABLE 170 ASIA PACIFIC: VECTOR DATABASE MARKET, BY DATA TYPE,
2025–2030 (USD MILLION) 207
TABLE 171 ASIA PACIFIC: VECTOR DATABASE MARKET, BY VERTICAL,
2020–2024 (USD MILLION) 207
TABLE 172 ASIA PACIFIC: VECTOR DATABASE MARKET, BY VERTICAL,
2025–2030 (USD MILLION) 208
TABLE 173 ASIA PACIFIC: VECTOR DATABASE MARKET, BY COUNTRY,
2020–2024 (USD MILLION) 208
TABLE 174 ASIA PACIFIC: VECTOR DATABASE MARKET, BY COUNTRY,
2025–2030 (USD MILLION) 208
TABLE 175 CHINA: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2020–2024 (USD MILLION) 209
TABLE 176 CHINA: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2025–2030 (USD MILLION) 209
TABLE 177 JAPAN: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2020–2024 (USD MILLION) 210
TABLE 178 JAPAN: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2025–2030 (USD MILLION) 210
TABLE 179 AUSTRALIA & NEW ZEALAND: VECTOR DATABASE MARKET,
BY DEPLOYMENT MODE, 2020–2024 (USD MILLION) 211
TABLE 180 AUSTRALIA & NEW ZEALAND: VECTOR DATABASE MARKET,
BY DEPLOYMENT MODE, 2025–2030 (USD MILLION) 211
TABLE 181 REST OF ASIA PACIFIC: VECTOR DATABASE MARKET,
BY DEPLOYMENT MODE, 2020–2024 (USD MILLION) 212
TABLE 182 REST OF ASIA PACIFIC: VECTOR DATABASE MARKET,
BY DEPLOYMENT MODE, 2025–2030 (USD MILLION) 213
TABLE 183 MIDDLE EAST & AFRICA: VECTOR DATABASE MARKET,
BY TYPE, 2020–2024 (USD MILLION) 213
TABLE 184 MIDDLE EAST & AFRICA: VECTOR DATABASE MARKET,
BY TYPE, 2025–2030 (USD MILLION) 214
TABLE 185 MIDDLE EAST & AFRICA: VECTOR DATABASE MARKET,
BY OFFERING, 2020–2024 (USD MILLION) 214
TABLE 186 MIDDLE EAST & AFRICA: VECTOR DATABASE MARKET,
BY OFFERING, 2025–2030 (USD MILLION) 214
TABLE 187 MIDDLE EAST & AFRICA: VECTOR DATABASE MARKET,
BY VECTOR DATABASE SOLUTION, 2020–2024 (USD MILLION) 214
TABLE 188 MIDDLE EAST & AFRICA: VECTOR DATABASE MARKET,
BY VECTOR DATABASE SOLUTION, 2025–2030 (USD MILLION) 215
TABLE 189 MIDDLE EAST & AFRICA: VECTOR DATABASE MARKET,
BY SERVICE, 2020–2024 (USD MILLION) 215
TABLE 190 MIDDLE EAST & AFRICA: VECTOR DATABASE MARKET,
BY SERVICE, 2025–2030 (USD MILLION) 215
TABLE 191 MIDDLE EAST & AFRICA: VECTOR DATABASE MARKET,
BY PROFESSIONAL SERVICE, 2020–2024 (USD MILLION) 215
TABLE 192 MIDDLE EAST & AFRICA: VECTOR DATABASE MARKET,
BY PROFESSIONAL SERVICE, 2025–2030 (USD MILLION) 216
TABLE 193 MIDDLE EAST & AFRICA: VECTOR DATABASE MARKET,
BY TECHNOLOGY/AI APPLICATION, 2020–2024 (USD MILLION) 216
TABLE 194 MIDDLE EAST & AFRICA: VECTOR DATABASE MARKET,
BY TECHNOLOGY/AI APPLICATION, 2025–2030 (USD MILLION) 216
TABLE 195 MIDDLE EAST & AFRICA: VECTOR DATABASE MARKET,
BY DEPLOYMENT MODE, 2020–2024 (USD MILLION) 217
TABLE 196 MIDDLE EAST & AFRICA: VECTOR DATABASE MARKET,
BY DEPLOYMENT MODE, 2025–2030 (USD MILLION) 217
TABLE 197 MIDDLE EAST & AFRICA: VECTOR DATABASE MARKET,
BY DATA TYPE, 2020–2024 (USD MILLION) 217
TABLE 198 MIDDLE EAST & AFRICA: VECTOR DATABASE MARKET, BY DATA TYPE,
2025–2030 (USD MILLION) 217
TABLE 199 MIDDLE EAST & AFRICA: VECTOR DATABASE MARKET, BY VERTICAL,
2020–2024 (USD MILLION) 218
TABLE 200 MIDDLE EAST & AFRICA: VECTOR DATABASE MARKET, BY VERTICAL,
2025–2030 (USD MILLION) 218
TABLE 201 MIDDLE EAST & AFRICA: VECTOR DATABASE MARKET, BY COUNTRY,
2020–2024 (USD MILLION) 219
TABLE 202 MIDDLE EAST & AFRICA: VECTOR DATABASE MARKET, BY COUNTRY,
2025–2030 (USD MILLION) 219
TABLE 203 GCC COUNTRIES: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2020–2024 (USD MILLION) 220
TABLE 204 GCC COUNTRIES: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2025–2030 (USD MILLION) 220
TABLE 205 GCC COUNTRIES: VECTOR DATABASE MARKET, BY COUNTRY,
2020–2024 (USD MILLION) 220
TABLE 206 GCC COUNTRIES: VECTOR DATABASE MARKET, BY COUNTRY,
2025–2030 (USD MILLION) 220
TABLE 207 KSA: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2020–2024 (USD MILLION) 221
TABLE 208 KSA: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2025–2030 (USD MILLION) 221
TABLE 209 UAE: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2020–2024 (USD MILLION) 222
TABLE 210 UAE: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2025–2030 (USD MILLION) 222
TABLE 211 REST OF GCC COUNTRIES: VECTOR DATABASE MARKET,
BY DEPLOYMENT MODE, 2020–2024 (USD MILLION) 223
TABLE 212 REST OF GCC COUNTRIES: VECTOR DATABASE MARKET,
BY DEPLOYMENT MODE, 2025–2030 (USD MILLION) 223
TABLE 213 SOUTH AFRICA: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2020–2024 (USD MILLION) 224
TABLE 214 SOUTH AFRICA: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2025–2030 (USD MILLION) 224
TABLE 215 REST OF MIDDLE EAST & AFRICA: VECTOR DATABASE MARKET,
BY DEPLOYMENT MODE, 2020–2024 (USD MILLION) 224
TABLE 216 REST OF MIDDLE EAST & AFRICA: VECTOR DATABASE MARKET,
BY DEPLOYMENT MODE, 2025–2030 (USD MILLION) 225
TABLE 217 LATIN AMERICA: VECTOR DATABASE MARKET, BY TYPE,
2020–2024 (USD MILLION) 225
TABLE 218 LATIN AMERICA: VECTOR DATABASE MARKET, BY TYPE,
2025–2030 (USD MILLION) 225
TABLE 219 LATIN AMERICA: VECTOR DATABASE MARKET, BY OFFERING,
2020–2024 (USD MILLION) 226
TABLE 220 LATIN AMERICA: VECTOR DATABASE MARKET, BY OFFERING,
2025–2030 (USD MILLION) 226
TABLE 221 LATIN AMERICA: VECTOR DATABASE MARKET, BY VECTOR DATABASE SOLUTION, 2020–2024 (USD MILLION) 226
TABLE 222 LATIN AMERICA: VECTOR DATABASE MARKET, BY VECTOR DATABASE SOLUTION, 2025–2030 (USD MILLION) 226
TABLE 223 LATIN AMERICA: VECTOR DATABASE MARKET, BY SERVICE,
2020–2024 (USD MILLION) 227
TABLE 224 LATIN AMERICA: VECTOR DATABASE MARKET, BY SERVICE,
2025–2030 (USD MILLION) 227
TABLE 225 LATIN AMERICA: VECTOR DATABASE MARKET, BY PROFESSIONAL SERVICE,
2020–2024 (USD MILLION) 227
TABLE 226 LATIN AMERICA: VECTOR DATABASE MARKET, BY PROFESSIONAL SERVICE,
2025–2030 (USD MILLION) 227
TABLE 227 LATIN AMERICA: VECTOR DATABASE MARKET, BY TECHNOLOGY/AI APPLICATION, 2020–2024 (USD MILLION) 228
TABLE 228 LATIN AMERICA: VECTOR DATABASE MARKET, BY TECHNOLOGY/AI APPLICATION, 2025–2030 (USD MILLION) 228
TABLE 229 LATIN AMERICA: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2020–2024 (USD MILLION) 228
TABLE 230 LATIN AMERICA: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2025–2030 (USD MILLION) 228
TABLE 231 LATIN AMERICA: VECTOR DATABASE MARKET, BY DATA TYPE,
2020–2024 (USD MILLION) 229
TABLE 232 LATIN AMERICA: VECTOR DATABASE MARKET, BY DATA TYPE,
2025–2030 (USD MILLION) 229
TABLE 233 LATIN AMERICA: VECTOR DATABASE MARKET, BY VERTICAL,
2020–2024 (USD MILLION) 229
TABLE 234 LATIN AMERICA: VECTOR DATABASE MARKET, BY VERTICAL,
2025–2030 (USD MILLION) 230
TABLE 235 LATIN AMERICA: VECTOR DATABASE MARKET, BY COUNTRY,
2020–2024 (USD MILLION) 230
TABLE 236 LATIN AMERICA: VECTOR DATABASE MARKET, BY COUNTRY,
2025–2030 (USD MILLION) 230
TABLE 237 BRAZIL: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2020–2024 (USD MILLION) 231
TABLE 238 BRAZIL: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2025–2030 (USD MILLION) 231
TABLE 239 MEXICO: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2020–2024 (USD MILLION) 232
TABLE 240 MEXICO: VECTOR DATABASE MARKET, BY DEPLOYMENT MODE,
2025–2030 (USD MILLION) 232
TABLE 241 REST OF LATIN AMERICA: VECTOR DATABASE MARKET,
BY DEPLOYMENT MODE, 2020–2024 (USD MILLION) 233
TABLE 242 REST OF LATIN AMERICA: VECTOR DATABASE MARKET,
BY DEPLOYMENT MODE, 2025–2030 (USD MILLION) 233
TABLE 243 OVERVIEW OF STRATEGIES ADOPTED BY KEY VENDORS, 2023–2025 234
TABLE 244 MARKET SHARE OF KEY VENDORS, 2024 237
TABLE 245 VECTOR DATABASE MARKET: REGION FOOTPRINT 246
TABLE 246 VECTOR DATABASE MARKET: OFFERING FOOTPRINT 246
TABLE 247 VECTOR DATABASE MARKET: VERTICAL FOOTPRINT 247
TABLE 248 VECTOR DATABASE MARKET: LIST OF KEY STARTUPS/SMES 249
TABLE 249 VECTOR DATABASE MARKET: COMPETITIVE BENCHMARKING OF
KEY STARTUPS/SMES 250
TABLE 250 VECTOR DATABASE MARKET: PRODUCT LAUNCHES, 2021 TO OCTOBER 2025 252
TABLE 251 VECTOR DATABASE MARKET: DEALS, 2021–NOVEMBER 2025 254
TABLE 252 MICROSOFT: COMPANY OVERVIEW 258
TABLE 253 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED 259
TABLE 254 MICROSOFT: PRODUCT LAUNCHES/ENHANCEMENTS 260
TABLE 255 MICROSOFT: DEALS 261
TABLE 256 ELASTIC: COMPANY OVERVIEW 263
TABLE 257 ELASTIC: PRODUCTS/SOLUTIONS/SERVICES OFFERED 264
TABLE 258 ELASTIC: PRODUCT LAUNCHES/ENHANCEMENTS 265
TABLE 259 ELASTIC: DEALS 266
TABLE 260 MONGODB: COMPANY OVERVIEW 269
TABLE 261 MONGODB: PRODUCTS/SOLUTIONS/SERVICES OFFERED 270
TABLE 262 MONGODB: PRODUCT LAUNCHES/ENHANCEMENTS 271
TABLE 263 MONGODB: DEALS 271
TABLE 264 GOOGLE: COMPANY OVERVIEW 273
TABLE 265 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 274
TABLE 266 GOOGLE: PRODUCT LAUNCHES/ENHANCEMENTS 275
TABLE 267 GOOGLE: DEALS 275
TABLE 268 AWS: COMPANY OVERVIEW 277
TABLE 269 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED 278
TABLE 270 AWS: PRODUCT LAUNCHES/ENHANCEMENTS 279
TABLE 271 AWS: DEALS 280
TABLE 272 REDIS: COMPANY OVERVIEW 282
TABLE 273 REDIS: PRODUCTS/SOLUTIONS/SERVICES OFFERED 282
TABLE 274 REDIS: PRODUCT LAUNCHES/ENHANCEMENTS 283
TABLE 275 REDIS: DEALS 283
TABLE 276 ALIBABA CLOUD: COMPANY OVERVIEW 284
TABLE 277 ALIBABA CLOUD: PRODUCTS/SOLUTIONS/SERVICES OFFERED 285
TABLE 278 ALIBABA CLOUD: PRODUCT LAUNCHES/ENHANCEMENTS 286
TABLE 279 ALIBABA CLOUD: DEALS 286
TABLE 280 DATASTAX: COMPANY OVERVIEW 287
TABLE 281 DATASTAX: PRODUCTS/SOLUTIONS/SERVICES OFFERED 288
TABLE 282 DATASTAX: PRODUCT LAUNCHES/ENHANCEMENTS 288
TABLE 283 DATASTAX: DEALS 289
TABLE 284 SINGLESTORE: COMPANY OVERVIEW 290
TABLE 285 SINGLESTORE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 291
TABLE 286 SINGLESTORE: DEALS 291
TABLE 287 PINECONE: COMPANY OVERVIEW 292
TABLE 288 PINECONE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 293
TABLE 289 PINECONE: PRODUCT LAUNCHES/ENHANCEMENTS 293
TABLE 290 PINECONE: DEALS 293
TABLE 291 GENERATIVE AI MARKET, BY OFFERING, 2020–2024 (USD MILLION) 310
TABLE 292 GENERATIVE AI MARKET, BY OFFERING, 2025–2032 (USD MILLION) 310
TABLE 293 GENERATIVE AI MARKET, BY DATA MODALITY, 2020–2024 (USD MILLION) 310
TABLE 294 GENERATIVE AI MARKET, BY DATA MODALITY, 2025–2032 (USD MILLION) 311
TABLE 295 NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING,
2017–2022 (USD MILLION) 311
TABLE 296 NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING,
2023–2028 (USD MILLION) 312
TABLE 297 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2017–2022 (USD MILLION) 312
TABLE 298 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2023–2028 (USD MILLION) 312
LIST OF FIGURES
FIGURE 1 VECTOR DATABASE MARKET SEGMENTATION 33
FIGURE 2 STUDY YEARS CONSIDERED 35
FIGURE 3 VECTOR DATABASE MARKET: RESEARCH DESIGN 39
FIGURE 4 BREAKDOWN OF PRIMARY INTERVIEWS, BY COMPANY TYPE,
DESIGNATION, AND REGION 42
FIGURE 5 KEY INDUSTRY INSIGHTS 42
FIGURE 6 DATA TRIANGULATION 43
FIGURE 7 VECTOR DATABASE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 44
FIGURE 8 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 45
FIGURE 9 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 46
FIGURE 10 VECTOR DATABASE MARKET: RESEARCH FLOW 46
FIGURE 11 MARKET SIZE ESTIMATION METHODOLOGY: SUPPLY-SIDE ANALYSIS 47
FIGURE 12 BOTTOM-UP APPROACH FROM SUPPLY SIDE – COLLECTIVE REVENUE OF VENDORS 47
FIGURE 13 VECTOR DATABASE MARKET: DEMAND-SIDE APPROACH 48
FIGURE 14 RESEARCH LIMITATIONS 51
FIGURE 15 MARKET SCENARIO 52
FIGURE 16 GLOBAL VECTOR DATABASE MARKET, 2025–2030 (USD MILLION) 52
FIGURE 17 MAJOR STRATEGIES ADOPTED BY KEY PLAYERS IN VECTOR DATABASE MARKET (2020-2025) 53
FIGURE 18 DISRUPTIVE TRENDS IMPACTING GROWTH OF VECTOR DATABASE MARKET 54
FIGURE 19 HIGH-GROWTH SEGMENTS AND EMERGING FRONTIERS IN VECTOR DATABASE MARKET, 2024 55
FIGURE 20 ASIA PACIFIC TO REGISTER HIGHEST GROWTH DURING FORECAST PERIOD 56
FIGURE 21 HIGH DEMAND IN IT & ITES, HEALTHCARE, AND MEDIA & ENTERTAINMENT VERTICALS TO CREATE LUCRATIVE OPPORTUNITIES FOR VECTOR
DATABASE PROVIDERS 57
FIGURE 22 NATIVE VECTOR DBS SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE DURING FORECAST PERIOD 58
FIGURE 23 VECTOR DATABASE SOLUTIONS SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE DURING FORECAST PERIOD 58
FIGURE 24 IT & ITES TO ACCOUNT FOR LARGEST MARKET SHARE IN 2030 59
FIGURE 25 ASIA PACIFIC TO EMERGE AS BEST MARKET FOR INVESTMENT IN NEXT FIVE YEARS 59
FIGURE 26 VECTOR DATABASE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES,
AND CHALLENGES 60
FIGURE 27 VECTOR DATABASE MARKET: PORTER’S FIVE FORCES ANALYSIS 70
FIGURE 28 INTERNATIONAL INVESTMENT IN DIGITAL ECONOMY 75
FIGURE 29 VECTOR DATABASE MARKET: SUPPLY CHAIN ANALYSIS 76
FIGURE 30 VECTOR DATABASE MARKET: ECOSYSTEM ANALYSIS 78
FIGURE 31 AVERAGE SELLING PRICE, BY REGION, 2023–2025 80
FIGURE 32 VECTOR DATABASE MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS 84
FIGURE 33 LEADING VECTOR DATABASE MARKET VENDORS, BY NUMBER OF INVESTORS
AND FUNDING ROUNDS, 2025 84
FIGURE 34 PATENTS APPLIED AND PUBLISHED, 2014–2024 101
FIGURE 35 IMPACT OF AI/GEN AI ON VECTOR DATABASE MARKET 104
FIGURE 36 VECTOR DATABASE MARKET: DECISION-MAKING FACTORS 116
FIGURE 37 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE VERTICALS 117
FIGURE 38 KEY BUYING CRITERIA FOR TOP THREE VERTICALS 118
FIGURE 39 VECTOR DATABASE MARKET: ADOPTION BARRIERS AND INTERNAL CHALLENGES 119
FIGURE 40 NATIVE VECTOR DB TO HOLD LARGER MARKET 123
FIGURE 41 VECTOR DATABASE SOLUTIONS SEGMENT TO HOLD LARGER MARKET SHARE 127
FIGURE 42 VECTOR SEARCH & QUERY PROCESSING SEGMENT TO HOLD LARGER
MARKET SHARE 129
FIGURE 43 NLP TO HOLD LARGEST MARKET SIZE 143
FIGURE 44 CLOUD TO ACCOUNT FOR LARGEST MARKET SIZE 153
FIGURE 45 HYBRID & MULTIMODAL DATA TO HOLD LARGEST MARKET 157
FIGURE 46 IT & ITES TO ACCOUNT FOR LARGEST MARKET SIZE 162
FIGURE 47 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET BY 2030 182
FIGURE 48 NORTH AMERICA: MARKET SNAPSHOT 183
FIGURE 49 ASIA PACIFIC: MARKET SNAPSHOT 203
FIGURE 50 REVENUE ANALYSIS OF KEY VENDORS, 2020–2024 236
FIGURE 51 SHARE ANALYSIS OF KEY PLAYERS IN VECTOR DATABASE MARKET, 2024 238
FIGURE 52 VECTOR DATABASE MARKET: COMPARATIVE ANALYSIS OF VENDOR PRODUCTS 240
FIGURE 53 COMPANY EVALUATION MATRIX FOR KEY PLAYERS: CRITERIA WEIGHTAGE 242
FIGURE 54 VECTOR DATABASE MARKET: COMPANY EVALUATION MATRIX
(KEY PLAYERS), 2024 244
FIGURE 55 VECTOR DATABASE MARKET: COMPANY FOOTPRINT 245
FIGURE 56 VECTOR DATABASE MARKET: COMPANY EVALUATION MATRIX
(STARTUPS/SMES), 2024 248
FIGURE 57 COMPANY VALUATION OF KEY VENDORS 250
FIGURE 58 EV/EBITDA ANALYSIS OF KEY VENDORS 251
FIGURE 59 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF
KEY VENDORS 251
FIGURE 60 MICROSOFT: COMPANY SNAPSHOT 259
FIGURE 61 ELASTIC: COMPANY SNAPSHOT 264
FIGURE 62 MONGODB: COMPANY SNAPSHOT 270
FIGURE 63 GOOGLE: COMPANY SNAPSHOT 274
FIGURE 64 AWS: COMPANY SNAPSHOT 278
FIGURE 65 ALIBABA CLOUD: COMPANY SNAPSHOT 285
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