Companies in the big data sector developing innovative solutions and technologies.
Explore 768 recently funded big data companies with verified founder contact information and fundraising data.
AI-powered financial research platform for fundamental investors and asset managers
The world's first Data Science Spreadsheet powered by a GPU data engine that runs 10x to 1,000x faster than traditional data software.
A wastewater data platform delivering population-level health insights
Filament helps clients to build proprietary AI capability within their organisation, through consultancy, solutions and tooling
Speedata develops accelerated processor for big data analytics across industries.
Dataplor is a location intelligence platform that connects businesses with a mobile workforce that is available on demand.
Hacobu offers an integrated solution MOVO centering on the operation management system utilizing in-vehicle terminals.
Rime develops speech technologies for a wide range of customers.
Datafold automates proactive management of analytical data quality
Chalk is a data platform for AI inference that provides the infrastructure needed to operationalize machine learning and AI.
Hex Technologies is a unified, AI-powered workspace that integrates SQL, Python, R, and no-code tools for data science and analytics.
SeqOne is a next generation genomic analysis for next generation healthcare.
RevenueCat is a subscription management platform for apps that monetize through in-app purchases.
Saildrone is a maritime company that enables navies, governments, and organizations to obtain data required to monitor the maritime domain.
Redica Systems uses AI and machine learning to provide Quality and Regulatory Intelligence (QRI) solutions to life sciences companies.
Impact Analytics provides AI-native SaaS solutions and consulting services to help companies strategize and implement data-driven decisions.
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.
Row Zero offers a self-serve big data analytics platform with spreadsheet modeling and dashboard sharing capabilities.
Stamus Networks is a provider of high-performance network-based threat detection and hunting systems.
AssetWatch is a deployable, remote, end-to-end condition monitoring solution providing predictive insight to enable proactive maintenance.
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.
Serverless data platform that lets developers build, version, and deploy AI and data applications directly on S3 using Python.
Adaptive Decision Intelligence for Executives in the AI Era
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 768 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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