出版：MarketsandMarkets（マーケッツアンドマーケッツ） 出版年月：2023年10月
Vector Database Market – Global Forecast to 2028
ベクトルデータベース市場 : 提供内容 (ソリューション＆サービス)、テクノロジー (NLP、コンピュータービジョン、レコメンデーションシステム)、業種別 (メディア & エンターテイメント、IT & ITeS、ヘルスケア & ライフサイエンス)、地域別 – 2028年までの世界予測
Vector Database Market by Offering (Solutions and Services), Technology (NLP, Computer Vision, and Recommendation Systems), Vertical (Media & Entertainment, IT & ITeS, Healthcare & Life Sciences) and Region – Global Forecast to 2028
| ページ数 | 255 |
| 図表数 | 283 |
| 種別 | 英文調査報告書 |
| 価格 |
Report Overview
MarketsandMarkets forecasts the global vector database market size is expected to grow from USD 1.5 billion in 2023 to USD 4.3 billion by 2028 at a CAGR of 23.3% during the forecast period. Vector databases power NLP applications such as machine translation and chatbots. These applications can quickly identify similar phrases and documents, which are essential for translating languages and generating text.
“Deployment & Integration service segment to hold the largest market size during the forecast period.”
Deployment and integration services in vector databases refer to seamlessly integrating vector database models and algorithms into existing business systems, software, and infrastructure. These services ensure that vector database solutions integrate existing IT systems and that data flows smoothly between different platforms. These services may include customization of AI algorithms, data pipeline design, cloud infrastructure setup, and security and compliance consulting. These services ensure businesses can leverage vector databases’ power while minimizing the impact on existing operations and processes. Consider deployment strategies for high availability and scalability, including setting up replication, load balancing, and sharding mechanisms to ensure that the database can handle increasing workloads; this helps to monitor and optimize the vector database for improved performance.
“Media & Entertainment vertical to hold the largest market size during the forecast period.”
The media and entertainment industry has experienced significant changes in recent years due to the emergence of AI and ML technologies. Vector database, which uses algorithms and models to create new and unique content like images, videos, and music similar to that produced by humans, is one of the most promising and rapidly developing areas of AI in this industry. It is used in various sectors of the media and entertainment industry, including film and television production, music, gaming, and advertising.
Media and entertainment companies are utilizing vector databases to produce captivating and exclusive content more efficiently and timely than traditional methods. For example, virtual sets and characters for films and TV shows are being created using a vector database, resulting in savings on production costs. The music industry also uses vector databases to develop fresh and inventive sounds and styles. The real-time generation of game worlds and characters in gaming makes the player experience more immersive. Additionally, a vector database is employed in advertising to generate personalized and targeted content that connects with specific audiences.
“Vector Database market in Asia Pacific to grow at the highest CAGR during the forecast period.”
The vector database market in the Asia Pacific includes analysis of China, Japan, ANZ, and the Rest of Asia Pacific. The region will experience extensive growth opportunities due to high consumer spending, internet penetration, and the rising adoption of advanced technologies, such as ML, AI, and LLMs. Retail & eCommerce, BFSI, healthcare & life sciences industries will contribute substantially to the market growth in the region. These industries offer significant growth potential for the market due to the increasing awareness among consumers and the rising adoption of new technologies in various sectors, especially in China, India, and South Korea. The expanding number of players in the region will drive the growth of the vector database market in Asia Pacific. Owing to a rapidly increasing technology-backed economic structure, Asia Pacific will emerge as the fastest-growing region in vector database demand during the forecast period.
Moreover, Asia Pacific provides significant growth opportunities over the next five years. The rising demand for advanced solutions that are cloud-driven and cloud-supported has resulted in the increasing demand for vector database solutions in Asia Pacific, resulting in increasing investments and technological advancements across industries. The market in Asia Pacific is experiencing strong growth as Asia Pacific organizations are rapidly adopting vector databases to meet the demands of their customers. The competition in this region is fragmented, and market vendors are looking to expand their presence there, which would result in infrastructure improvement and business-strategic benefits. Asia Pacific enterprises are less proficient than North American and European enterprises in information, security awareness, and technical expertise. Vector database can help improve how Asia Pacific organizations sell and ship their goods and materials.
Further, our team conducted in-depth interviews with the Chief Executive Officers (CEOs), Chief Marketing Officers (CMO), Chief Operating Officers (COOs), Chief Technology Officers (CTOs), Vice Presidents (VPs), Managing Directors (MDs), domain heads, technology and innovation directors, and related key executives from various prominent companies and organizations operating in the vector database market.
By Company – Tier 1–30%, Tier 2–45%, and Tier 3–25%
By Designation – C-Level Executives–50%, Director Level–35%, and Others–15%
By Region – North America–50%, Europe–30%, Asia Pacific–15%, RoW – 5%
The key players in the vector database market are Microsoft (US), Elastic (US), Alibaba Cloud (China), MongoDB (US), Redis (US), SingleStore (US), Zilliz (US), Pinecone (US), Google (US), AWS (US), Milvus (US), Weaviate (Netherlands), and Qdrant (Berlin). The study includes an in-depth competitive analysis of these key players in the Vector Database market with their company profiles, recent developments, and key market strategies.
Research Coverage
The research study covered inputs, insights, trends, and happenings from secondary sources, primary sources, stakeholders’ interviews, and surveys. Secondary sources include information from databases and repositories such as D&B Hoovers, Bloomberg, Factiva, and CoinDesk. We fetched primary data from supply-side industry experts who hold the chair of Chief Executive Officer (CEO), Chief Technological Officer (CTO), Chief Operating Officer (COO), Vice-President (VP) of IT, and Managing Director (MD), among others. We also reached out to a few startups during our primary interviews. Additionally, we have taken information and statistical and historical data from a few government associations, public sources, webinar and seminar transcripts, journals, conferences, and events.
Reasons to buy this report:
The report will help the market leaders/new entrants with information on the closest approximations of the revenue numbers for the overall vector database market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the market pulse and provides information on key market drivers, restraints, challenges, and opportunities. The report incorporates a critical section comprising the company profiles in the market, in which it has exhaustively evaluated the vendors in terms of product portfolio offerings and business strategies followed; this will give a holistic view of the current standing of the key players in the market and the ongoing developments encompassing partnerships, agreements, collaborations, mergers and acquisitions, joint ventures, new product or service launches, and business expansions. This evaluation will help the buyers understand how the major vendors are achieving service differentiation, and buyers can understand the need gap analysis for the existing services and new services needed to cater to these newly developed solutions for this market. The report can help the buyers understand significant benefits as well as driving factors that are becoming key growth drivers of the development of buyers in these services.
The report provides insights on the following pointers.
• Analysis of key drivers (advancements in AI and ML, increasing usage of LLMs, considerable investments in vector database), restraints (privacy and security of the data stored on databases), opportunities (demand of real-time analytics, need for semantic search), and challenges (lack of technical expertise, need to strict adherence to regulatory and compliance policies) influencing the growth of the vector database market
• Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the vector database market
• Market Development: Comprehensive information about lucrative markets – the report analyses the vector database market across varied regions.
• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the vector database market
Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players, like include Microsoft (US), Elastic (US), Alibaba Cloud (China), MongoDB (US), Redis (US), SingleStore (US), Zilliz (US), Pinecone (US), Google (US), AWS (US), Milvus (US), Weaviate (Netherlands), and Qdrant (Berlin) Datastax (US), KX (US), GSI Technology (US), Clarifai (US), Kinetica (US), Rockset (US), Activeloop (US), OpenSearch (US), Vespa (Norway), Marqo AI (Australia), and Clickhouse (US) in the vector database market. The report also helps stakeholders understand the competitive analysis of these market players.
Table of Contents
1 INTRODUCTION 25
1.1 STUDY OBJECTIVES 25
1.2 MARKET DEFINITION 25
1.2.1 INCLUSIONS AND EXCLUSIONS 26
1.3 MARKET SCOPE 26
1.3.1 MARKET SEGMENTATION 26
1.3.2 REGIONS COVERED 27
1.4 YEARS CONSIDERED 27
1.5 CURRENCY CONSIDERED 28
TABLE 1 USD EXCHANGE RATES, 2018–2022 28
1.6 STAKEHOLDERS 28
1.7 RECESSION IMPACT 29
2 RESEARCH METHODOLOGY 30
2.1 RESEARCH DATA 30
FIGURE 1 VECTOR DATABASE MARKET: RESEARCH DESIGN 31
2.1.1 SECONDARY DATA 32
2.1.2 PRIMARY DATA 32
2.1.2.1 Breakup of primary profiles 33
2.1.2.2 Key insights from industry experts 33
2.2 DATA TRIANGULATION 34
FIGURE 2 VECTOR DATABASE MARKET: DATA TRIANGULATION 34
2.3 MARKET SIZE ESTIMATION 35
FIGURE 3 VECTOR DATABASE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES 35
2.3.1 TOP-DOWN APPROACH 36
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 36
2.3.2 BOTTOM-UP APPROACH 36
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 37
FIGURE 6 VECTOR DATABASE MARKET: RESEARCH FLOW 37
2.3.3 MARKET ESTIMATION APPROACHES 38
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY (SUPPLY SIDE): ILLUSTRATION OF VENDOR REVENUE ESTIMATION 38
FIGURE 8 MARKET SIZE ESTIMATION METHODOLOGY: SUPPLY-SIDE ANALYSIS 39
FIGURE 9 BOTTOM-UP APPROACH FROM SUPPLY SIDE: COLLECTIVE REVENUE OF VENDORS 39
FIGURE 10 DEMAND-SIDE APPROACH: REVENUE GENERATED FROM DIFFERENT VERTICALS 40
FIGURE 11 DEMAND-SIDE APPROACH: VECTOR DATABASE MARKET 40
2.4 MARKET FORECAST 41
TABLE 2 FACTOR ANALYSIS 41
2.5 IMPACT OF RECESSION ON GLOBAL VECTOR DATABASE MARKET 42
2.6 RESEARCH ASSUMPTIONS 42
2.7 LIMITATIONS AND RISK ASSESSMENT 45
3 EXECUTIVE SUMMARY 46
TABLE 3 VECTOR DATABASE MARKET SIZE AND GROWTH, 2019–2022 (USD MILLION, Y-O-Y %) 47
TABLE 4 VECTOR DATABASE MARKET SIZE AND GROWTH, 2023–2028 (USD MILLION, Y-O-Y %) 47
FIGURE 12 GLOBAL VECTOR DATABASE MARKET TO WITNESS SIGNIFICANT GROWTH 47
FIGURE 13 NORTH AMERICA TO ACCOUNT FOR LARGEST SHARE IN 2023 48
FIGURE 14 FASTEST-GROWING SEGMENTS OF VECTOR DATABASE MARKET 49
4 PREMIUM INSIGHTS 50
4.1 ATTRACTIVE OPPORTUNITIES FOR COMPANIES IN VECTOR DATABASE MARKET 50
FIGURE 15 MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE TO DRIVE GROWTH OF VECTOR DATABASE MARKET 50
4.2 VECTOR DATABASE MARKET, BY OFFERING, 2023 VS. 2028 50
FIGURE 16 SOLUTIONS SEGMENT TO HOLD LARGER MARKET SHARE IN 2023 50
4.2.1 VECTOR DATABASE MARKET, BY SOLUTION, 2023 VS. 2028 51
FIGURE 17 VECTOR SEARCH SEGMENT TO HOLD LARGEST MARKET SHARE IN 2023 51
4.2.2 VECTOR DATABASE MARKET, BY SERVICE, 2023 VS. 2028 51
FIGURE 18 PROFESSIONAL SERVICES SEGMENT TO HOLD LARGER MARKET SHARE IN 2023 51
4.3 VECTOR DATABASE MARKET, BY PROFESSIONAL SERVICE, 2023 VS. 2028 52
FIGURE 19 DEPLOYMENT & INTEGRATION SEGMENT TO HOLD LARGEST MARKET SHARE IN 2023 52
4.4 VECTOR DATABASE MARKET, BY TECHNOLOGY, 2023 VS. 2028 52
FIGURE 20 NLP SEGMENT TO HOLD LARGEST MARKET SHARE IN 2023 52
4.5 VECTOR DATABASE MARKET, BY VERTICAL, 2023 VS. 2028 53
FIGURE 21 MEDIA & ENTERTAINMENT VERTICAL TO HOLD LARGEST MARKET SHARE IN 2023 53
4.6 VECTOR DATABASE MARKET: REGIONAL SCENARIO, 2023–2028 53
FIGURE 22 ASIA PACIFIC TO EMERGE AS BEST MARKET FOR INVESTMENTS IN NEXT FIVE YEARS 53
5 MARKET OVERVIEW AND INDUSTRY TRENDS 54
5.1 INTRODUCTION 54
5.2 MARKET DYNAMICS 54
FIGURE 23 MARKET DYNAMICS: VECTOR DATABASE MARKET 54
5.2.1 DRIVERS 55
5.2.1.1 Advancements in AI and ML 55
5.2.1.2 Increasing usage of large language models 55
5.2.1.3 Growing demand for solutions to process low-latency queries 56
5.2.1.4 Increasing demand for automating repetitive database management processes 56
5.2.1.5 Huge investments in vector database 56
FIGURE 24 VECTOR DATABASE INVESTMENTS BY COMPANIES IN 2022–2023 (USD MILLION) 57
5.2.2 RESTRAINTS 57
5.2.2.1 Privacy and security of data stored on databases 57
5.2.3 OPPORTUNITIES 57
5.2.3.1 Rising demand for real-time analytics 57
5.2.3.2 Rising demand for semantic search 58
5.2.3.3 Data complexity and diversity 58
5.2.4 CHALLENGES 59
5.2.4.1 Lack of technical expertise 59
5.2.4.2 Need for strict adherence to regulatory and compliance policies 59
5.3 CASE STUDY ANALYSIS 59
5.3.1 CASE STUDY 1: MONGODB ATLAS HELPED TO MANAGE DATABASE PROPERLY 60
5.3.2 CASE STUDY 2: CHIPPER CASH DECREASED FRAUDULENT ACTIVITIES BY USING PINECONE 60
5.3.3 CASE STUDY 3: SMARTNEWS HANDLED LARGE VECTOR DATA BY USING MILVUS 61
5.3.4 CASE STUDY 4: ACI SAVED MILLIONS OF DOLLARS OF CUSTOMERS BY USING DATASTAX 61
5.3.5 CASE STUDY 5: BEIERSDORF HELPED SUMMARIZE DOCUMENTS BY USING AZURE COGNITIVE SEARCH 62
5.4 PORTER’S FIVE FORCES ANALYSIS 63
FIGURE 25 VECTOR DATABASE MARKET: PORTER’S FIVE FORCES ANALYSIS 63
TABLE 5 IMPACT OF PORTER’S FIVE FORCES ON VECTOR DATABASE MARKET 63
5.4.1 THREAT OF NEW ENTRANTS 64
5.4.2 THREAT OF SUBSTITUTES 64
5.4.3 BARGAINING POWER OF SUPPLIERS 64
5.4.4 BARGAINING POWER OF BUYERS 64
5.4.5 INTENSITY OF COMPETITIVE RIVALRY 64
5.5 PRICING ANALYSIS 65
5.5.1 AVERAGE SELLING PRICE (ASP) TREND OF KEY PLAYERS, BY SOLUTION 65
FIGURE 26 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SOLUTION (USD MILLION/MONTH) 65
5.5.2 INDICATIVE PRICING ANALYSIS OF VECTOR DATABASE SOLUTIONS 65
TABLE 6 INDICATIVE PRICING ANALYSIS OF VECTOR DATABASE SOLUTIONS 65
5.6 PATENT ANALYSIS 66
FIGURE 27 NUMBER OF PATENTS PUBLISHED, 2012–2022 66
FIGURE 28 TOP FIVE PATENT OWNERS (GLOBAL) 67
TABLE 7 TOP TEN PATENT OWNERS (US) 67
TABLE 8 PATENTS IN VECTOR DATABASE MARKET, 2023 68
5.7 TECHNOLOGY ANALYSIS 70
5.7.1 KEY TECHNOLOGIES 71
5.7.1.1 NLP 71
5.7.1.2 Computer Vision 71
5.7.2 COMPLEMENTARY TECHNOLOGIES 71
5.7.2.1 Cloud 71
5.7.2.2 IoT 72
5.7.2.3 Big Data 72
5.7.3 ADJACENT TECHNOLOGIES 72
5.7.3.1 Deep Learning Models 72
5.7.3.2 Machine Learning Frameworks 73
5.7.3.3 Generative AI 73
5.8 REGULATORY LANDSCAPE 73
5.8.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 73
TABLE 9 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 74
TABLE 10 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 74
TABLE 11 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 75
TABLE 12 MIDDLE EAST & AFRICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 75
TABLE 13 LATIN AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 76
5.8.2 THE EUROPEAN UNION (EU) – ARTIFICIAL INTELLIGENCE ACT (AIA) 77
5.8.3 INTERIM ADMINISTRATIVE MEASURES FOR GENERATIVE ARTIFICIAL INTELLIGENCE SERVICES 77
5.8.4 GENERAL DATA PROTECTION REGULATION 77
5.8.5 NATIONAL ARTIFICIAL INTELLIGENCE INITIATIVE ACT (NAIIA) 78
5.8.6 INFORMATION SECURITY TECHNOLOGY – PERSONAL INFORMATION SECURITY SPECIFICATION GB/T 35273-2017 78
5.8.7 THE ARTIFICIAL INTELLIGENCE AND DATA ACT (AIDA) 78
5.8.8 GENERAL DATA PROTECTION LAW 78
5.8.9 LAW NO 13 OF 2016 ON PROTECTING PERSONAL DATA 79
5.8.10 NIST SPECIAL PUBLICATION 800-144 – GUIDELINES ON SECURITY AND PRIVACY IN PUBLIC CLOUD COMPUTING 79
5.9 KEY CONFERENCES AND EVENTS, 2023–2024 80
TABLE 14 VECTOR DATABASE MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2023–2024 80
5.10 KEY STAKEHOLDERS AND BUYING CRITERIA 81
5.10.1 KEY STAKEHOLDERS IN BUYING PROCESS 81
FIGURE 29 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR MAJOR VERTICALS 81
TABLE 15 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR MAJOR VERTICALS (%) 82
5.10.2 BUYING CRITERIA 82
FIGURE 30 KEY BUYING CRITERIA FOR MAJOR VERTICALS 82
TABLE 16 KEY BUYING CRITERIA FOR MAJOR VERTICALS 82
5.11 VALUE CHAIN ANALYSIS 83
FIGURE 31 VECTOR DATABASE MARKET: VALUE CHAIN 84
5.12 ECOSYSTEM ANALYSIS 84
FIGURE 32 VECTOR DATABASE MARKET: ECOSYSTEM 84
TABLE 17 VECTOR DATABASE MARKET: COMPANIES AND THEIR ROLE IN ECOSYSTEM 85
5.13 TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS’ BUSINESSES 86
FIGURE 33 VECTOR DATABASE MARKET: TRENDS/DISRUPTIONS IMPACTING BUYERS/CLIENTS’ BUSINESSES 86
5.14 VECTOR DATABASE MARKET: BUSINESS MODEL ANALYSIS 87
FIGURE 34 VECTOR DATABASE MARKET: BUSINESS MODELS 87
5.14.1 SUBSCRIPTION MODEL 87
5.14.2 MANAGED SERVICE MODEL 88
6 VECTOR DATABASE MARKET, BY OFFERING 89
6.1 INTRODUCTION 90
6.1.1 OFFERING: VECTOR DATABASE MARKET DRIVERS 90
FIGURE 35 SOLUTIONS SEGMENT TO HOLD LARGEST MARKET SIZE DURING FORECAST PERIOD 91
TABLE 18 VECTOR DATABASE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 91
TABLE 19 VECTOR DATABASE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 91
6.2 SOLUTIONS 92
FIGURE 36 VECTOR SEARCH SEGMENT TO HOLD LARGEST MARKET SIZE DURING FORECAST PERIOD 92
TABLE 20 SOLUTIONS: VECTOR DATABASE MARKET, BY REGION, 2019–2022 (USD MILLION) 93
TABLE 21 SOLUTIONS: VECTOR DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION) 93
TABLE 22 VECTOR DATABASE MARKET, BY SOLUTION, 2019–2022 (USD MILLION) 93
TABLE 23 VECTOR DATABASE MARKET, BY SOLUTION, 2023–2028 (USD MILLION) 94
6.2.1 VECTOR GENERATION 94
6.2.1.1 Rise of AI and ML to lead to development of new and sophisticated vector-generation algorithms 94
TABLE 24 VECTOR GENERATION: VECTOR DATABASE MARKET, BY REGION, 2019–2022 (USD MILLION) 94
TABLE 25 VECTOR GENERATION: VECTOR DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION) 95
6.2.1.1.1 Word Embeddings 95
6.2.1.1.2 Image Embeddings 95
6.2.1.1.3 Others 95
6.2.2 VECTOR SEARCH 96
6.2.2.1 Statistical models to provide powerful ways to capture complex patterns in data and generate precise outputs 96
TABLE 26 VECTOR SEARCH: VECTOR DATABASE MARKET, BY REGION, 2019–2022 (USD MILLION) 96
TABLE 27 VECTOR SEARCH: VECTOR DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION) 97
6.2.2.1.1 Exact Vector Search 97
6.2.2.1.2 Semantic Search 97
6.2.2.1.3 Approximate Nearest Neighbor Search 97
6.2.2.1.4 Others 98
6.2.3 STORAGE AND RETRIEVAL VECTORS 98
6.2.3.1 Deep learning models to excel at generative tasks requiring fine-grained details 98
TABLE 28 STORAGE AND RETRIEVAL VECTORS: VECTOR DATABASE MARKET, BY REGION, 2019–2022 (USD MILLION) 98
TABLE 29 STORAGE AND RETRIEVAL VECTORS: VECTOR DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION) 99
6.2.3.1.1 Text Vectors 99
6.2.3.1.2 Image Vectors 99
6.2.3.1.3 Geospatial Vectors 99
6.3 SERVICES 100
FIGURE 37 MANAGED SERVICES SEGMENT TO REGISTER HIGHER CAGR DURING THE FORECAST PERIOD 100
TABLE 30 SERVICES: VECTOR DATABASE MARKET, BY REGION, 2019–2022 (USD MILLION) 100
TABLE 31 SERVICES: VECTOR DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION) 101
TABLE 32 VECTOR DATABASE MARKET, BY SERVICE, 2019–2022 (USD MILLION) 101
TABLE 33 VECTOR DATABASE MARKET, BY SERVICE, 2023–2028 (USD MILLION) 101
6.3.1 PROFESSIONAL SERVICES 102
6.3.1.1 Professional services to offer specialized expertise in vector databases to meet specific needs 102
FIGURE 38 DEPLOYMENT & INTEGRATION TO HOLD LARGEST MARKET SIZE DURING FORECAST PERIOD 102
TABLE 34 PROFESSIONAL SERVICES: VECTOR DATABASE MARKET, BY REGION, 2019–2022 (USD MILLION) 103
TABLE 35 PROFESSIONAL SERVICES: VECTOR DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION) 103
TABLE 36 VECTOR DATABASE MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION) 103
TABLE 37 VECTOR DATABASE MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION) 104
6.3.1.1.1 Consulting 104
TABLE 38 CONSULTING: VECTOR DATABASE MARKET, BY REGION, 2019–2022 (USD MILLION) 104
TABLE 39 CONSULTING: VECTOR DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION) 105
6.3.1.1.2 Deployment & Integration 105
TABLE 40 DEPLOYMENT & INTEGRATION: VECTOR DATABASE MARKET, BY REGION, 2019–2022 (USD MILLION) 105
TABLE 41 DEPLOYMENT & INTEGRATION: VECTOR DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION) 106
6.3.1.1.3 Training, Support, and Maintenance 106
TABLE 42 TRAINING, SUPPORT, AND MAINTENANCE: VECTOR DATABASE MARKET, BY REGION, 2019–2022 (USD MILLION) 106
TABLE 43 TRAINING, SUPPORT, AND MAINTENANCE: VECTOR DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION) 107
6.3.2 MANAGED SERVICES 107
6.3.2.1 Managed services to provide end-to-end management for vector databases and help businesses focus on core competencies 107
TABLE 44 MANAGED SERVICES: VECTOR DATABASE MARKET, BY REGION, 2019–2022 (USD MILLION) 107
TABLE 45 MANAGED SERVICES: VECTOR DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION) 108
7 VECTOR DATABASE MARKET, BY TECHNOLOGY 109
7.1 INTRODUCTION 110
7.1.1 TECHNOLOGY: VECTOR DATABASE MARKET DRIVERS 110
FIGURE 39 COMPUTER VISION SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 111
TABLE 46 VECTOR DATABASE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 111
TABLE 47 VECTOR DATABASE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 111
7.2 NATURAL LANGUAGE PROCESSING 112
7.2.1 VECTOR DATABASE TO BE USED FOR DOCUMENT RETRIEVAL, SEMANTIC SEARCH, SENTIMENT ANALYSIS, AND CHATBOTS IN NLP 112
TABLE 48 NLP: VECTOR DATABASE MARKET, BY REGION, 2019–2022 (USD MILLION) 112
TABLE 49 NLP: VECTOR DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION) 112
7.2.1.1 Semantic Search 113
7.2.1.2 Document/Text Retrieval 113
7.2.1.3 Sentiment Analysis 113
7.2.1.4 Chatbots & Virtual Assistants 114
7.2.1.5 Others 114
7.3 COMPUTER VISION 114
7.3.1 COMPUTER VISION AND VECTOR DATABASES TO OFFER POWERFUL SOLUTIONS FOR APPLICATIONS THAT INVOLVE PROCESSING AND UNDERSTANDING VISUAL CONTENT EFFICIENTLY 114
TABLE 50 COMPUTER VISION: VECTOR DATABASE MARKET, BY REGION, 2019–2022 (USD MILLION) 115
TABLE 51 COMPUTER VISION: VECTOR DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION) 115
7.3.1.1 Image Retrieval 115
7.3.1.2 Object Detection 115
7.3.1.3 Face/Image Recognition 116
7.3.1.4 Others 116
7.4 RECOMMENDATION SYSTEMS 116
7.4.1 ENHANCED ACCURACY AND EFFICIENCY OF CONTENT RECOMMENDATIONS TO DRIVE MARKET GROWTH 116
TABLE 52 RECOMMENDATION SYSTEMS: VECTOR DATABASE MARKET, BY REGION, 2019–2022 (USD MILLION) 117
TABLE 53 RECOMMENDATION SYSTEMS: VECTOR DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION) 117
7.4.1.1 Collaborative Filtering 117
7.4.1.2 Content-based Filtering 117
7.4.1.3 Session-based Recommendations 118
7.4.1.4 Others 118
8 VECTOR DATABASE MARKET, BY VERTICAL 119
8.1 INTRODUCTION 120
8.1.1 VERTICAL: VECTOR DATABASE MARKET DRIVERS 120
FIGURE 40 MEDIA & ENTERTAINMENT TO RECORD LARGEST MARKET SIZE DURING FORECAST PERIOD 121
TABLE 54 VECTOR DATABASE MARKET, BY VERTICAL, 2019–2022 (USD MILLION) 121
TABLE 55 VECTOR DATABASE MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 122
8.2 BFSI 122
8.2.1 VECTOR DATABASE TO OPTIMIZE OPERATIONS, IMPROVE CUSTOMER EXPERIENCE, AND MANAGE RISKS 122
8.2.2 BFSI: VECTOR DATABASE USE CASES 123
TABLE 56 BFSI: VECTOR DATABASE MARKET, BY REGION, 2019–2022 (USD MILLION) 123
TABLE 57 BFSI: VECTOR DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION) 123
8.2.2.1 Risk Assessment 124
8.2.2.2 Customer Segmentation 124
8.2.2.3 Fraud Detection/Risk Management 124
8.2.2.4 Others 125
8.3 RETAIL & E-COMMERCE 125
8.3.1 VECTOR DATABASE TO HELP RETAIL SECTOR OPTIMIZE INVENTORY PLANNING WHILE REDUCING SHELF SHRINKAGE 125
8.3.2 RETAIL & E-COMMERCE: VECTOR DATABASE USE CASES 125
TABLE 58 RETAIL & E-COMMERCE: VECTOR DATABASE MARKET, BY REGION, 2019–2022 (USD MILLION) 126
TABLE 59 RETAIL & E-COMMERCE: VECTOR DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION) 126
8.3.2.1 Product Recommendations 126
8.3.2.2 Inventory Management 126
8.3.2.3 Others 127
8.4 HEALTHCARE & LIFE SCIENCES 127
8.4.1 VECTOR DATABASES TO HELP IN DIAGNOSING DISEASES AND CREATING NEW DRUGS 127
8.4.2 HEALTHCARE & LIFE SCIENCES: VECTOR DATABASE USE CASES 127
TABLE 60 HEALTHCARE & LIFE SCIENCES: VECTOR DATABASE MARKET, BY REGION, 2019–2022 (USD MILLION) 127
TABLE 61 HEALTHCARE & LIFE SCIENCES: VECTOR DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION) 128
8.4.2.1 Medical Imaging 128
8.4.2.2 EHR 128
8.4.2.3 Others 128
8.5 IT & ITES 129
8.5.1 VECTOR DATABASE TO HELP IMPROVE CYBERSECURITY, MINIMIZE COSTS, AND ENHANCE USER EXPERIENCE 129
8.5.2 IT & ITES: VECTOR DATABASE USE CASES 129
TABLE 62 IT & ITES: VECTOR DATABASE MARKET, BY REGION, 2019–2022 (USD MILLION) 129
TABLE 63 IT & ITES: VECTOR DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION) 130
8.5.2.1 IT Operations and Monitoring 130
8.5.2.2 Search and Content Recommendation 130
8.5.2.3 Customer Support and Chatbots 130
8.5.2.4 Others 131
8.6 MEDIA & ENTERTAINMENT 131
8.6.1 VECTOR DATABASE TO PRODUCE CAPTIVATING AND EXCLUSIVE CONTENT EFFICIENTLY THAN TRADITIONAL METHODS 131
8.6.2 MEDIA & ENTERTAINMENT: VECTOR DATABASE USE CASES 131
TABLE 64 MEDIA & ENTERTAINMENT: VECTOR DATABASE MARKET, BY REGION, 2019–2022 (USD MILLION) 132
TABLE 65 MEDIA & ENTERTAINMENT: VECTOR DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION) 132
8.6.2.1 Content Recommendation 132
8.6.2.2 Content Metadata Management 132
8.6.2.3 Content Similarity Search 133
8.6.2.4 Others 133
8.7 MANUFACTURING 133
8.7.1 VECTOR DATABASE TO IMPROVE PROTOTYPE DESIGN AND CAPACITY PLANNING IN SMART FACTORIES 133
8.7.2 MANUFACTURING: VECTOR DATABASE USE CASES 133
TABLE 66 MANUFACTURING: VECTOR DATABASE MARKET, BY REGION, 2019–2022 (USD MILLION) 134
TABLE 67 MANUFACTURING: VECTOR DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION) 134
8.7.2.1 Quality Control and Inspection 134
8.7.2.2 Predictive Maintenance 135
8.7.2.3 Others 135
8.8 GOVERNMENT & DEFENSE 135
8.8.1 VECTOR DATABASE TOOLS TO DETECT THREAT AND ENHANCE SURVEILLANCE 135
8.8.2 GOVERNMENT & DEFENSE: VECTOR DATABASE USE CASES 136
TABLE 68 GOVERNMENT & DEFENSE: VECTOR DATABASE MARKET, BY REGION, 2019–2022 (USD MILLION) 136
TABLE 69 GOVERNMENT & DEFENSE: VECTOR DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION) 136
8.8.2.1 Geospatial Intelligence 137
8.8.2.2 Image Analysis and Recognition 137
8.8.2.3 Others 137
8.9 OTHER VERTICALS 137
TABLE 70 OTHER VERTICALS: VECTOR DATABASE MARKET, BY REGION, 2019–2022 (USD MILLION) 138
TABLE 71 OTHER VERTICALS: VECTOR DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION) 138
9 VECTOR DATABASE MARKET, BY REGION 139
9.1 INTRODUCTION 140
FIGURE 41 ASIA PACIFIC TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 140
TABLE 72 VECTOR DATABASE MARKET, BY REGION, 2019–2022 (USD MILLION) 140
TABLE 73 VECTOR DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION) 141
9.2 NORTH AMERICA 141
9.2.1 NORTH AMERICA: VECTOR DATABASE MARKET DRIVERS 141
9.2.2 NORTH AMERICA: RECESSION IMPACT 142
FIGURE 42 NORTH AMERICA: MARKET SNAPSHOT 142
TABLE 74 NORTH AMERICA: VECTOR DATABASE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 143
TABLE 75 NORTH AMERICA: VECTOR DATABASE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 143
TABLE 76 NORTH AMERICA: VECTOR DATABASE MARKET, BY SOLUTION, 2019–2022 (USD MILLION) 143
TABLE 77 NORTH AMERICA: VECTOR DATABASE MARKET, BY SOLUTION, 2023–2028 (USD MILLION) 143
TABLE 78 NORTH AMERICA: VECTOR DATABASE MARKET, BY SERVICE, 2019–2022 (USD MILLION) 144
TABLE 79 NORTH AMERICA: VECTOR DATABASE MARKET, BY SERVICE, 2023–2028 (USD MILLION) 144
TABLE 80 NORTH AMERICA: VECTOR DATABASE MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION) 144
TABLE 81 NORTH AMERICA: VECTOR DATABASE MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION) 144
TABLE 82 NORTH AMERICA: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 145
TABLE 83 NORTH AMERICA: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 145
TABLE 84 NORTH AMERICA: VECTOR DATABASE MARKET, BY VERTICAL, 2019–2022 (USD MILLION) 145
TABLE 85 NORTH AMERICA: VECTOR DATABASE MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 146
TABLE 86 NORTH AMERICA: VECTOR DATABASE MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 146
TABLE 87 NORTH AMERICA: VECTOR DATABASE MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 146
9.2.3 US 147
9.2.3.1 Rising demand for vector database majorly contributing to US revenue 147
TABLE 88 US: VECTOR DATABASE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 147
TABLE 89 US: VECTOR DATABASE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 147
TABLE 90 US: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 147
TABLE 91 US: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 148
9.2.4 CANADA 148
9.2.4.1 Increasing investments in cutting-edge technologies to fuel market growth 148
TABLE 92 CANADA: VECTOR DATABASE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 148
TABLE 93 CANADA: VECTOR DATABASE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 148
TABLE 94 CANADA: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 149
TABLE 95 CANADA: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 149
9.3 EUROPE 149
9.3.1 EUROPE: VECTOR DATABASE MARKET DRIVERS 150
9.3.2 EUROPE: RECESSION IMPACT 150
TABLE 96 EUROPE: VECTOR DATABASE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 150
TABLE 97 EUROPE: VECTOR DATABASE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 151
TABLE 98 EUROPE: VECTOR DATABASE MARKET, BY SOLUTION, 2019–2022 (USD MILLION) 151
TABLE 99 EUROPE: VECTOR DATABASE MARKET, BY SOLUTION, 2023–2028 (USD MILLION) 151
TABLE 100 EUROPE: VECTOR DATABASE MARKET, BY SERVICE, 2019–2022 (USD MILLION) 151
TABLE 101 EUROPE: VECTOR DATABASE MARKET, BY SERVICE, 2023–2028 (USD MILLION) 152
TABLE 102 EUROPE: VECTOR DATABASE MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION) 152
TABLE 103 EUROPE: VECTOR DATABASE MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION) 152
TABLE 104 EUROPE: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 152
TABLE 105 EUROPE: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 153
TABLE 106 EUROPE: VECTOR DATABASE MARKET, BY VERTICAL, 2019–2022 (USD MILLION) 153
TABLE 107 EUROPE: VECTOR DATABASE MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 153
TABLE 108 EUROPE: VECTOR DATABASE MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 154
TABLE 109 EUROPE: VECTOR DATABASE MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 154
9.3.3 UK 154
9.3.3.1 Increasing focus on digitalization to drive market growth 154
TABLE 110 UK: VECTOR DATABASE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 155
TABLE 111 UK: VECTOR DATABASE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 155
TABLE 112 UK: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 155
TABLE 113 UK: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 155
9.3.4 GERMANY 156
9.3.4.1 German government ready to become global tech leader by galvanizing AI research, development, and applications 156
TABLE 114 GERMANY: VECTOR DATABASE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 156
TABLE 115 GERMANY: VECTOR DATABASE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 156
TABLE 116 GERMANY: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 157
TABLE 117 GERMANY: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 157
9.3.5 FRANCE 157
9.3.5.1 Increasing research and educational excellence to drive demand for chatbots, data retrieval, and image retrieval 157
TABLE 118 FRANCE: VECTOR DATABASE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 158
TABLE 119 FRANCE: VECTOR DATABASE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 158
TABLE 120 FRANCE: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 158
TABLE 121 FRANCE: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 159
9.3.6 ITALY 159
9.3.6.1 Italian researchers to build deep learning model that can perform source separation and music generation 159
TABLE 122 ITALY: VECTOR DATABASE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 159
TABLE 123 ITALY: VECTOR DATABASE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 160
TABLE 124 ITALY: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 160
TABLE 125 ITALY: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 160
9.3.7 REST OF EUROPE 160
TABLE 126 REST OF EUROPE: VECTOR DATABASE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 161
TABLE 127 REST OF EUROPE: VECTOR DATABASE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 161
TABLE 128 REST OF EUROPE: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 161
TABLE 129 REST OF EUROPE: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 161
9.4 ASIA PACIFIC 162
9.4.1 ASIA PACIFIC: VECTOR DATABASE MARKET DRIVERS 162
9.4.2 ASIA PACIFIC: RECESSION IMPACT 162
FIGURE 43 ASIA PACIFIC: MARKET SNAPSHOT 163
TABLE 130 ASIA PACIFIC: VECTOR DATABASE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 164
TABLE 131 ASIA PACIFIC: VECTOR DATABASE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 164
TABLE 132 ASIA PACIFIC: VECTOR DATABASE MARKET, BY SOLUTION, 2019–2022 (USD MILLION) 164
TABLE 133 ASIA PACIFIC: VECTOR DATABASE MARKET, BY SOLUTION, 2023–2028 (USD MILLION) 164
TABLE 134 ASIA PACIFIC: VECTOR DATABASE MARKET, BY SERVICE, 2019–2022 (USD MILLION) 165
TABLE 135 ASIA PACIFIC: VECTOR DATABASE MARKET, BY SERVICE, 2023–2028 (USD MILLION) 165
TABLE 136 ASIA PACIFIC: VECTOR DATABASE MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION) 165
TABLE 137 ASIA PACIFIC: VECTOR DATABASE MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION) 165
TABLE 138 ASIA PACIFIC: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 166
TABLE 139 ASIA PACIFIC: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 166
TABLE 140 ASIA PACIFIC: VECTOR DATABASE MARKET, BY VERTICAL, 2019–2022 (USD MILLION) 166
TABLE 141 ASIA PACIFIC: VECTOR DATABASE MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 167
TABLE 142 ASIA PACIFIC: VECTOR DATABASE MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 167
TABLE 143 ASIA PACIFIC: VECTOR DATABASE MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 167
9.4.3 CHINA 168
9.4.3.1 Rising number of local players producing vector databases to propel market 168
TABLE 144 CHINA: VECTOR DATABASE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 168
TABLE 145 CHINA: VECTOR DATABASE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 168
TABLE 146 CHINA: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 169
TABLE 147 CHINA: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 169
9.4.4 JAPAN 169
9.4.4.1 Tokyo-1 to accelerate Japan’s pharma industry 169
TABLE 148 JAPAN: VECTOR DATABASE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 170
TABLE 149 JAPAN: VECTOR DATABASE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 170
TABLE 150 JAPAN: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 170
TABLE 151 JAPAN: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 170
9.4.5 AUSTRALIA & NEW ZEALAND 171
9.4.5.1 Australia & New Zealand to explore AI and big data analytics’ potential more broadly 171
TABLE 152 ANZ: VECTOR DATABASE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 171
TABLE 153 ANZ: VECTOR DATABASE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 172
TABLE 154 ANZ: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 172
TABLE 155 ANZ: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 172
9.4.6 REST OF ASIA PACIFIC 173
TABLE 156 REST OF ASIA PACIFIC: VECTOR DATABASE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 173
TABLE 157 REST OF ASIA PACIFIC: VECTOR DATABASE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 173
TABLE 158 REST OF ASIA PACIFIC: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 174
TABLE 159 REST OF ASIA PACIFIC: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 174
9.5 REST OF THE WORLD 174
9.5.1 MIDDLE EAST & AFRICA 174
9.5.2 LATIN AMERICA 175
TABLE 160 REST OF THE WORLD: VECTOR DATABASE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 175
TABLE 161 REST OF THE WORLD: VECTOR DATABASE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 175
TABLE 162 REST OF THE WORLD: VECTOR DATABASE MARKET, BY SOLUTION, 2019–2022 (USD MILLION) 176
TABLE 163 REST OF THE WORLD: VECTOR DATABASE MARKET, BY SOLUTION, 2023–2028 (USD MILLION) 176
TABLE 164 REST OF THE WORLD: VECTOR DATABASE MARKET, BY SERVICE, 2019–2022 (USD MILLION) 176
TABLE 165 REST OF THE WORLD: VECTOR DATABASE MARKET, BY SERVICE, 2023–2028 (USD MILLION) 176
TABLE 166 REST OF THE WORLD: VECTOR DATABASE MARKET, BY PROFESSIONAL SERVICE, 2019–2022 (USD MILLION) 177
TABLE 167 REST OF THE WORLD: VECTOR DATABASE MARKET, BY PROFESSIONAL SERVICE, 2023–2028 (USD MILLION) 177
TABLE 168 REST OF THE WORLD: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 177
TABLE 169 REST OF THE WORLD: VECTOR DATABASE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 178
TABLE 170 REST OF THE WORLD: VECTOR DATABASE MARKET, BY VERTICAL, 2019–2022 (USD MILLION) 178
TABLE 171 REST OF THE WORLD: VECTOR DATABASE MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 179
10 COMPETITIVE LANDSCAPE 180
10.1 OVERVIEW 180
10.2 STRATEGIES ADOPTED BY KEY PLAYERS 180
TABLE 172 OVERVIEW OF STRATEGIES BY KEY VECTOR DATABASE VENDORS 180
10.3 REVENUE ANALYSIS 182
FIGURE 44 HISTORICAL FIVE-YEAR SEGMENTAL REVENUE ANALYSIS OF KEY VECTOR DATABASE PROVIDERS 182
10.4 MARKET SHARE ANALYSIS 182
FIGURE 45 MARKET SHARE ANALYSIS, 2022 183
TABLE 173 VECTOR DATABASE MARKET: INTENSITY OF COMPETITIVE RIVALRY 183
10.5 BRANDS COMPARISON/VENDOR PRODUCT LANDSCAPE 184
TABLE 174 BRANDS COMPARISON/VENDOR PRODUCT LANDSCAPE 184
10.6 GLOBAL SNAPSHOT OF KEY MARKET PARTICIPANTS 186
FIGURE 46 VECTOR DATABASE MARKET: GLOBAL SNAPSHOT OF KEY MARKET PARTICIPANTS 187
10.7 COMPANY EVALUATION MATRIX 187
FIGURE 47 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE 188
10.7.1 STARS 188
10.7.2 EMERGING LEADERS 188
10.7.3 PERVASIVE PLAYERS 189
10.7.4 PARTICIPANTS 189
FIGURE 48 COMPANY EVALUATION MATRIX 189
10.7.5 COMPANY FOOTPRINT 190
TABLE 175 COMPANY REGIONAL FOOTPRINT 190
TABLE 176 COMPANY OFFERING FOOTPRINT 190
TABLE 177 COMPANY FOOTPRINT 191
10.8 START-UP/SME EVALUATION MATRIX 192
FIGURE 49 SME/START-UP EVALUATION MATRIX: CRITERIA WEIGHTAGE 192
10.8.1 PROGRESSIVE COMPANIES 193
10.8.2 RESPONSIVE COMPANIES 193
10.8.3 DYNAMIC COMPANIES 193
10.8.4 STARTING BLOCKS 193
FIGURE 50 START-UP/SME EVALUATION MATRIX 194
10.8.5 COMPETITIVE BENCHMARKING 194
TABLE 178 DETAILED LIST OF KEY START-UPS/SMES 194
TABLE 179 COMPANY FOOTPRINT FOR START-UPS/SMES, BY REGION 195
10.9 VALUATION AND FINANCIAL METRICS OF VECTOR DATABASE VENDORS 195
FIGURE 51 VALUATION AND FINANCIAL METRICS OF VECTOR DATABASE VENDORS 195
10.10 KEY MARKET DEVELOPMENTS 196
10.10.1 PRODUCT LAUNCHES AND PRODUCT ENHANCEMENTS 196
TABLE 180 VECTOR DATABASE MARKET: PRODUCT LAUNCHES 196
10.10.2 DEALS 198
TABLE 181 VECTOR DATABASE MARKET: DEALS 198
11 COMPANY PROFILES 201
11.1 INTRODUCTION 201
11.2 KEY PLAYERS 201
(Business Overview, Products/Solutions/Services offered, Recent Developments, MnM View)*
11.2.1 MICROSOFT 201
TABLE 182 MICROSOFT: COMPANY OVERVIEW 201
FIGURE 52 MICROSOFT: COMPANY SNAPSHOT 202
TABLE 183 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED 202
TABLE 184 MICROSOFT: PRODUCT LAUNCHES 203
TABLE 185 MICROSOFT: DEALS 204
11.2.2 ALIBABA CLOUD 206
TABLE 186 ALIBABA CLOUD: COMPANY OVERVIEW 206
FIGURE 53 ALIBABA CLOUD: COMPANY SNAPSHOT 206
TABLE 187 ALIBABA CLOUD: PRODUCTS/SOLUTIONS/SERVICES OFFERED 207
TABLE 188 ALIBABA CLOUD: PRODUCT LAUNCHES 207
TABLE 189 ALIBABA CLOUD: DEALS 207
TABLE 190 ALIBABA CLOUD: OTHERS 208
11.2.3 ELASTIC 209
TABLE 191 ELASTIC: COMPANY OVERVIEW 209
FIGURE 54 ELASTIC: COMPANY SNAPSHOT 210
TABLE 192 ELASTIC: PRODUCTS/SOLUTIONS/SERVICES OFFERED 210
TABLE 193 ELASTIC: PRODUCT LAUNCHES 211
TABLE 194 ELASTIC: DEALS 212
11.2.4 MONGODB 214
TABLE 195 MONGODB: COMPANY OVERVIEW 214
FIGURE 55 MONGODB: COMPANY SNAPSHOT 215
TABLE 196 MONGODB: PRODUCTS/SOLUTIONS/SERVICES OFFERED 215
TABLE 197 MONGODB: PRODUCT LAUNCHES 216
TABLE 198 MONGODB: DEALS 216
11.2.5 REDIS 218
TABLE 199 REDIS: COMPANY OVERVIEW 218
TABLE 200 REDIS: PRODUCTS/SOLUTIONS/SERVICES OFFERED 218
TABLE 201 REDIS: PRODUCT LAUNCHES 219
TABLE 202 REDIS: DEALS 219
11.2.6 SINGLESTORE 220
TABLE 203 SINGLESTORE: COMPANY OVERVIEW 220
TABLE 204 SINGLESTORE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 221
TABLE 205 SINGLESTORE: PRODUCT LAUNCHES 221
11.2.7 DATASTAX 222
TABLE 206 DATASTAX: COMPANY OVERVIEW 222
TABLE 207 DATASTAX: PRODUCTS/SOLUTIONS/SERVICES OFFERED 222
TABLE 208 DATASTAX: PRODUCT LAUNCHES 223
11.2.8 ZILLIZ 224
TABLE 209 ZILLIZ: COMPANY OVERVIEW 224
TABLE 210 ZILLIZ: PRODUCTS/SOLUTIONS/SERVICES OFFERED 224
TABLE 211 ZILLIZ: PRODUCT LAUNCHES 225
11.2.9 PINECONE 226
TABLE 212 PINECONE: COMPANY OVERVIEW 226
TABLE 213 PINECONE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 226
TABLE 214 PINECONE: PRODUCT LAUNCHES 227
11.2.10 GOOGLE 228
TABLE 215 GOOGLE: COMPANY OVERVIEW 228
FIGURE 56 GOOGLE: COMPANY SNAPSHOT 229
TABLE 216 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 229
TABLE 217 GOOGLE: PRODUCT LAUNCHES 230
TABLE 218 GOOGLE: DEALS 231
11.2.11 AWS 232
TABLE 219 AWS: COMPANY OVERVIEW 232
FIGURE 57 AWS: COMPANY SNAPSHOT 232
TABLE 220 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED 233
TABLE 221 AWS: PRODUCT LAUNCHES 234
TABLE 222 AWS: DEALS 234
11.3 OTHER PLAYERS 236
11.3.1 KX 236
11.3.2 MILVUS 236
11.3.3 GSI TECHNOLOGY 237
11.3.4 CLARIFAI 237
11.3.5 KINETICA 238
11.3.6 ROCKSET 239
11.3.7 QDRANT 240
11.3.8 ACTIVELOOP 241
11.3.9 WEAVIATE 241
11.3.10 OPENSEARCH 242
11.3.11 VESPA 242
11.3.12 MARQO AI 243
11.3.13 CLICKHOUSE 243
*Details on Business Overview, Products/Solutions/Services offered, Recent Developments, MnM View might not be captured in case of unlisted companies.
12 ADJACENT AND RELATED MARKETS 244
12.1 INTRODUCTION 244
12.1.1 RELATED MARKETS 244
12.2 GENERATIVE AI MARKET 244
TABLE 223 GENERATIVE AI MARKET, BY OFFERING, 2019–2022 (USD MILLION) 244
TABLE 224 GENERATIVE AI MARKET, BY OFFERING, 2023–2030 (USD MILLION) 245
TABLE 225 GENERATIVE AI MARKET, BY REGION, 2019–2022 (USD MILLION) 245
TABLE 226 GENERATIVE AI MARKET, BY REGION, 2023–2030 (USD MILLION) 245
13 APPENDIX 246
13.1 DISCUSSION GUIDE 246
13.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 251
13.3 CUSTOMIZATION OPTIONS 253
13.4 RELATED REPORTS 253
13.5 AUTHOR DETAILS 254