Companies in the big data sector developing innovative solutions and technologies.
Explore 1,152 recently funded big data companies with verified founder contact information and fundraising data.
Fluxy.One is a European Digital Product Passport Provider & Operator delivering RegTech infrastructure for EU sustainability compliance.
NWO.ai is an intelligence amplification platform that harnesses machine learning techniques and human metadata.
SaaS innovation ecosystem enterprise data management making the application to selection process personalized, predictive, & proactive
Dataiku operates as an enterprise artificial intelligence and machine-learning platform.
DIA is a cross-chain, end-to-end, open-source data and oracle platform for Web3.
We offer reliable web data extraction with an array of products, including proxy management, data APIs, data services, and developer tools.
Getin provides people counting and in-store traffic analytics for retail performance monitoring.
Smarter demand forecasting models and operational strategies at scale start here. Discover what causes your anomalies with PredictHQ's API.
Easy & efficient online ads for eCommerce. We're a team of Ukrainians based all around the world. Adwisely grew from RetargetApp.
Sky is a decentralized autonomous organization on the Ethereum blockchain.
Sales intelligence, prospecting and account insights platform with a database of +108 million companies enriched with open data.
AI-powered talent assessment platform for executive search, leadership assessment, and private equity firms.
Sentient.io is a tech platform helping developers deploy AI solutions and embed intelligent services into applications.
Prevedere is a provider of predictive analytics technology and solutions based on econometric modeling.
Prepr, the world's first data-driven CMS for agile content management and personalization at scale.
JuniStat - Smartphone-based AI football (soccer) tests and analysis. SaaS for clubs and federations.
MyTraffic software development company that offers vehicle traffic data accessible and physical network services.
Nuclio Digital School is the business school of Nuclio Venture Builder, the startup incubator driven from Barcelona by Carlos Blanco.
LVNDR is redesigning sexual and reproductive healthcare services through a mobile-first digital clinic designed for LGBTQIA+ individuals.
Gravy Analytics is the leading provider of real-world location intelligence for marketers.
AI-based Crypto Fraud Detection; AI-based Crypto User Segmentation and 1:1 Marketing; AI-based Crypto Credit Score
Consulting and SaaS firm founded by data scientists from Google and BCG-Gamma
ClickHouse provides an open-source database system for real-time analytical reporting.
The big data sector is an active area of startup innovation and venture capital investment. Companies in this space are developing new technologies, platforms, and services that address evolving market needs and create new business opportunities.
Big Data companies raise capital across various funding stages, from early seed rounds to late-stage growth financing. Investor interest in this sector is driven by the size of the addressable market, the pace of technology adoption, and the potential for scalable business models.
The big data sector is expected to continue evolving as technology advances, market dynamics shift, and new opportunities emerge. Companies that demonstrate strong product-market fit, efficient growth, and clear competitive advantages are well-positioned to attract continued investment.
Here is how funding is distributed among the 1,152 big data companies tracked in the VCBacked database.
Companies in the big data sector often overlap with or complement businesses in adjacent industries. Exploring related verticals can help you discover additional companies, identify partnership opportunities, and understand the broader competitive landscape.
Perfect for: B2B sales teams targeting big data companies, investors exploring sector opportunities, and service providers looking for funded companies ready to scale.
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