Companies in the big data sector developing innovative solutions and technologies.
Explore 1,174 recently funded big data companies with verified founder contact information and fundraising data.
HonestDoor uses big data, predictive analytics that combines real estate data with data science to produce estimated values of houses.
Impact Analytics provides AI-native SaaS solutions and consulting services to help companies strategize and implement data-driven decisions.
Row Zero offers a self-serve big data analytics platform with spreadsheet modeling and dashboard sharing capabilities.
Seqera makes complex data analysis accessible at any scale by providing the tools to drive innovation in genomics, global health, and beyond
Statsig provides tools for A/B testing, feature management, and product analytics to help teams optimize product development.
Stamus Networks is a provider of high-performance network-based threat detection and hunting systems.
Liftoff is a growth acceleration platform that specializes in mobile app marketing and monetization.
Astronomer is a data orchestration platform built on Apache Airflow, enabling teams to build, run, and monitor data pipelines at scale.
AssetWatch is a deployable, remote, end-to-end condition monitoring solution providing predictive insight to enable proactive maintenance.
RxAll is a Deep Learning-Hyperspectral IoT Platform for the authentication and real-time global tracking of quality of drugs.
Augur Security platform blocks attacks before they start, rather than waiting for them to appear.
Ocient is a hyper-scale data analytics company that allows organizations to unlock value by analyzing petabyte to exabyte scale data sets.
CrowdBlue is a non-partisan political crowdfunding startup using technology and data to help citizens engage in politics.
Neuroscience and AI company building personalized intelligence systems for lifelong brain performance.
Tourmo are the Experts Solving Your Mobility Challenges - Harnessing the Mobility Data Storm Through Artificial Intelligence.
Cydar Medical has developed computer vision software that produces real-time automated 3D Maps during X-ray guided procedures.
Adaptive Decision Intelligence for Executives in the AI Era
Serverless data platform that lets developers build, version, and deploy AI and data applications directly on S3 using Python.
Bridgewise closes the financial information gap, empowering global investors to make informed decisions across markets and languages.
The easiest and most accessible data clean room in the world specialized in measuring and activating sponsorships.
Privateer develops data infrastructure to power sustainable growth for the new space economy.
Robyn develops an artificial intelligence platform designed to provide emotionally responsive interactions.
FindUP offers companies with a large geographic distribution with a platform that features information technology support.
Redpanda is pioneering the agentic data plane — AI infrastructure to connect agents with enterprise data and systems simply and securely.
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 1,174 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.
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