The global vector database market reached USD 2,652.1 million in 2025, and two forecasting firms place 2030 revenue between USD 8.71 billion and USD 8.95 billion. This page gathers dated vector database market statistics: size estimates by research firm, segment growth rates, regional revenue, funding rounds closed since June 2025, open-source popularity scores, and what enterprises actually spend on retrieval infrastructure.
Vector Database Market Statistics
How Big Is the Vector Database Market?
Three firms published 2025 revenue estimates that sit within USD 440 million of each other. Each measures vendor revenue under its own scope definition, so the gap reflects what counts as a vector database rather than a disagreement about demand.
MarketsandMarkets and The Business Research Company both forecast to 2030 and land under USD 9 billion. Fortune Business Insights runs to 2034 instead, which is why its headline number is far larger.
| Research firm | 2025 revenue | Forecast | CAGR | Window |
|---|---|---|---|---|
| MarketsandMarkets | USD 2,652.1 M | USD 8,945.7 M by 2030 | 27.5% | 2025–2030 |
| The Business Research Company | USD 3.02 B | USD 8.71 B by 2030 | 23.6% | 2026–2030 |
| Fortune Business Insights | USD 2.58 B | USD 17.91 B by 2034 | 24.0% | 2026–2034 |
Source: MarketsandMarkets, Vector Database Market, December 2025; The Business Research Company, Vector Database Global Market Report 2026; Fortune Business Insights, Vector Database Market, 2026 edition
The Business Research Company also publishes an interim figure: USD 3.73 billion in 2026, at a 23.5% rate off its 2025 base. Fortune Business Insights puts 2026 at USD 3.2 billion. Spending here is one line inside a far larger budget, tracked in wider enterprise AI spending statistics.
Vector Database Market Statistics by Segment
Every segment MarketsandMarkets singles out grows faster than its 27.5% market-wide rate. Services lead the offering split at 32.7%, which puts integration and migration labour ahead of software licences.
Retail and e-commerce is the fastest-growing vertical at 33.8%. Among solution categories, vector generation and indexing tops the list at 29.1%.
| Segment | Segmentation axis | CAGR 2025–2030 |
|---|---|---|
| Retail & e-commerce | Vertical | 33.8% |
| Services | Offering | 32.7% |
| Vector generation & indexing | Solution | 29.1% |
| Total market | — | 27.5% |
Source: MarketsandMarkets, Vector Database Market, December 2025
MarketsandMarkets expects native vector databases, built for a single data modality, to hold the largest share by type. Demand concentrates where the compute already sits, a pattern also visible in AI hardware market share data.
Which Region Leads Vector Database Revenue?
North America held 36.6% of 2025 vector database revenue according to MarketsandMarkets. Fortune Business Insights puts the same regional share at 41% for 2025. Both measure vendor revenue, but under different scope definitions.
The United States market was valued at USD 874.0 million in 2025 and is forecast to reach USD 2,662.2 million by 2030, a 25.0% CAGR. MarketsandMarkets names Asia Pacific as the fastest-growing region over the same window without publishing a regional rate.
| Market | 2025 revenue | 2030 forecast | CAGR |
|---|---|---|---|
| Global | USD 2,652.1 M | USD 8,945.7 M | 27.5% |
| United States | USD 874.0 M | USD 2,662.2 M | 25.0% |
Source: MarketsandMarkets, Vector Database Market and US Vector Database Market, 2025–2030 forecast
Vector Database Funding Statistics Since 2025
Supabase closed the largest disclosed round in the adjacent database space: USD 500 million at a USD 10.5 billion post-money valuation on 4 June 2026, led by GIC. The company reported a 600% year-over-year increase in databases created on its platform and said AI coding agents now deploy the majority of them.
Two purpose-built vector engines raised in the same period. Qdrant took USD 50 million in March 2026; LanceDB took USD 30 million in June 2025.
| Company | Round | Amount | Date | Lead investor |
|---|---|---|---|---|
| Supabase | Series F | USD 500 M | 4 June 2026 | GIC |
| Qdrant | Series B | USD 50 M | 12 March 2026 | AVP |
| LanceDB | Series A | USD 30 M | 24 June 2025 | Theory Ventures |
Source: Company funding announcements — Supabase (June 2026), Qdrant (March 2026), LanceDB (June 2025)
Supabase’s valuation alone exceeds every 2030 forecast for the whole vector database category listed above. The company sells Postgres tooling rather than a standalone vector engine. Capital is flowing toward platforms, a pattern that also shapes model training cost economics.
How Popular Are Open-Source Vector Databases?
DB-Engines scores database popularity using job postings, search volume and social mentions. It is a measure of visibility, not installations or revenue. Its vector DBMS list ranked 24 systems in December 2025, and the top two are general-purpose engines that added vector search.
MongoDB led at 372.27 points, Elasticsearch followed at 109.83. The highest-placed purpose-built engine, Pinecone, scored 7.95 in sixth.
Project-Reported Adoption Figures
Projects publish their own counters, and each measures something different. Zilliz announced on 18 December 2025 that Milvus had passed 40,000 GitHub stars, with more than 10,000 enterprise teams running it in live AI systems.
Qdrant reported 29,000 GitHub stars and more than 250 million open-source downloads on 12 March 2026. LanceDB reported more than 20 million downloads of its open-source packages as of June 2025. Downloads count file retrievals, not installs or users, and stars count accounts that bookmarked a repository.
Gartner has forecast that vector databases will be used in 30% of enterprise applications by 2026. That projection was cited in Zilliz’s December 2025 announcement.
What Do Enterprises Spend on Retrieval Infrastructure?
Menlo Ventures put the generative AI infrastructure layer at USD 18 billion in 2025, up 2.0x from USD 9.2 billion in 2024. The layer splits into three parts, and the one holding vector databases is the smallest.
Foundation model APIs took USD 12.5 billion. Model training infrastructure took USD 4.0 billion. Storage, retrieval and orchestration of data took USD 1.5 billion.
| Infrastructure category | 2025 spend |
|---|---|
| Foundation model APIs | USD 12.5 B |
| Model training infrastructure | USD 4.0 B |
| Storage, retrieval & orchestration | USD 1.5 B |
| Total infrastructure layer | USD 18.0 B |
Source: Menlo Ventures, 2025: The State of Generative AI in the Enterprise, December 2025 (2025 spend)
Menlo also reported that 16% of enterprise deployments qualify as true agents, with retrieval-augmented generation among the most common patterns in the rest. Deployment continues to concentrate on managed platforms, consistent with cloud AI service usage trends and broader generative AI adoption rates.
Vector Database Market Statistics From Incumbent Vendors
MongoDB reported USD 771.8 million in revenue for the second quarter of fiscal 2027, the three months ended 31 July 2026, up 30% year over year. Atlas-related revenue was USD 565.9 million. Total customers passed 70,600.
The company made Search and Vector Search generally available in MongoDB Enterprise Advanced during the quarter, extending retrieval features from Atlas to self-managed deployments. Revenue splits by customer address as follows.
| Region | Q2 FY2027 revenue |
|---|---|
| Americas | USD 478.3 M |
| EMEA | USD 210.3 M |
| Asia Pacific | USD 83.2 M |
| Total | USD 771.8 M |
Source: MongoDB, Second Quarter Fiscal 2027 Financial Results, three months ended 31 July 2026
MongoDB’s platform revenue covers far more than vector search, so the figure is not a vector database revenue line. It does show where the DB-Engines popularity score comes from. Similar platform gravity appears in conversational AI deployment data and in Meta AI usage figures.
FAQs
How big is the vector database market in 2025?
MarketsandMarkets valued it at USD 2,652.1 million in 2025. The Business Research Company put it at USD 3.02 billion and Fortune Business Insights at USD 2.58 billion for the same year, under differing scope definitions.
How fast is the vector database market growing?
Forecast CAGRs range from 23.6% to 27.5%. MarketsandMarkets projects 27.5% through 2030, The Business Research Company 23.6% through 2030, and Fortune Business Insights 24.0% through 2034.
Which vector database is most popular?
MongoDB led the DB-Engines vector DBMS ranking in December 2025 at 372.27 points, ahead of Elasticsearch at 109.83. Pinecone, at 7.95, was the highest purpose-built engine. The score measures visibility, not installations.
What do Reddit threads say about vector databases?
Reddit discussions frequently weigh pgvector against dedicated engines, but no primary dataset measures that sentiment. Verified adoption signals come from DB-Engines popularity scores, GitHub star counts and vendor-reported download totals instead.
How much do enterprises spend on vector databases?
Menlo Ventures reported USD 1.5 billion in 2025 enterprise spend on AI storage, retrieval and orchestration, the category containing vector databases. That sits inside an USD 18 billion generative AI infrastructure layer.
Sources
https://menlovc.com/perspective/2025-the-state-of-generative-ai-in-the-enterprise/
https://www.sec.gov/Archives/edgar/data/0001441816/000162828026059794/mdb-073126xex991xrelease.htm
