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The Big Data industry is concentrated in key US tech hubs, with many leading companies based in California and New York. Firms like Dataiku have raised over $846 million, while ThoughtSpot has secured more than $663 million for its intelligence platform.
Beyond analytics, companies are applying big data to areas like account based marketing and financial automation.
Below is our list of 100 Big Data startups worth keeping an eye on.
Everything you need to raise funding for your startup, including 3,500+ investors, 7 tools, 18 templates and 3 learning resources.
Buy It For $97 $297 →Information about the industries, countries, and cities they generally invest in.
Get the Sheet for $50Information about their valuation, HQ's location, founded year, name of founders, funding amount and number of employees.
Get the Sheet for $50List of startup investors in the BioTech, Health, and Medicine industries, along with their Twitter, LinkedIn, and email addresses.
Get the Sheet for $50List of 250 startup investors in the AI and Machine Learning industries, along with their Twitter, LinkedIn, and email addresses.
Get the Sheet for $50List of 250 startup investors in the FinTech and Finance industries, along with their Twitter, LinkedIn, and email addresses.
Get the Sheet for $50AppZen builds an AI-driven platform that automates financial operations for modern finance teams. The system helps companies audit expenses and invoices in real-time, aiming to eliminate manual review and ensure compliance.
6sense builds an AI-powered platform for B2B organizations to achieve predictable revenue growth by uncovering accounts ready to buy. Their technology helps marketing and sales teams prioritize their efforts by identifying anonymous buying signals across the web.
Statsig provides a platform for A/B testing, feature management, and product analytics. Their tools help teams optimize product development and ship with more confidence.
TRM Labs develops blockchain intelligence solutions to help organizations detect and investigate cryptocurrency-related financial crime. Financial institutions and government agencies use their platform for transaction monitoring and wallet screening to comply with anti-money laundering regulations.
BigID offers a data intelligence platform that gives organizations a clear view of their sensitive and regulated data. Their technology uses AI to automate data discovery, protection, and privacy, helping companies manage risk and compliance.
ThoughtSpot builds an AI-powered analytics platform that lets enterprise users explore their data through a simple search interface. Their technology translates natural language questions into live insights, making business intelligence accessible to non-technical team members.
Dataiku created a centralized platform that equips companies to build and deploy their own AI and analytics applications. The software is designed for collaboration, allowing everyone from data scientists to business analysts to work together on data projects.
Redis builds a popular open-source, in-memory data store used as a database, cache, and message broker. The company is known for its commercial Redis Enterprise platform, which delivers the sub-millisecond latency required for real-time applications.
Hex Technologies created a unified workspace for data science and analytics that integrates SQL, Python, R, and no-code tools. The platform is designed for teams to collaborate on everything from simple queries to complex, shareable data applications.
Exabeam develops a security operations platform that combines analytics, AI, and automation to help teams detect complex cyber threats. Their technology focuses on user and entity behavior analytics, giving security professionals the context needed to respond to incidents quickly.
The top 10 are just a small slice of what’s happening in big data right now. Many of the companies getting attention are in analytics and AI, and they have collectively raised over $20 billion.
Some are just getting started, while others have been growing for years. Here’s a look at the other startups shaping the industry.
| Startup | Main Industry | Year Founded | Amount Raised | Last Funding Round |
|---|---|---|---|---|
| Analytics | 2017 | $414M | Venture Round | |
| Enterprise | 2012 | $822M | Secondary Market | |
| Analytics | 2013 | $223.6M | Venture Round | |
| Analytics | 2010 | $446.2M | Secondary Market | |
| Media | 2007 | $729.7M | Venture Round | |
| Analytics | 2017 | ₩340B | Series C | |
| Analytics | 2012 | $233M | Series C | |
| Analytics | 2019 | $264M | Series C | |
| Data | 2011 | $474.8M | Series D | |
| Data | 2007 | $106.5M | Series D | |
| AI | 2015 | $23.8M | Series B | |
| Data | 2021 | $26M | Series A | |
| Analytics | 2012 | $80.4M | Venture Round | |
| Analytics | 2013 | $46M | Private Equity | |
| Analytics | 2021 | $750M | Series C | |
| Marketing | 2010 | $18.3M | Private Equity | |
| Data | 2016 | $268.3M | Debt Financing | |
| Analytics | 2009 | $241M | Venture Round | |
| AI | 1998 | $309.9M | Private Equity | |
| Data | 2014 | $126.3M | Series B | |
| AI | 2009 | $357.7M | Series G | |
| AI | 2016 | $31.5M | Venture Round | |
| Analytics | 2011 | $464.1M | Series F | |
| Data | 2015 | $403M | Series C | |
| Analytics | 2014 | $185M | Private Equity | |
| Data | 2021 | $51M | Venture Round | |
| Data | 1999 | $336M | Private Equity | |
| AI | 2019 | $112M | Series C | |
| Analytics | 2016 | $187M | Series D | |
| Analytics | 2017 | $41.4M | Series A | |
| Data | 2016 | $510M | Private Equity | |
| AI | 2021 | $36.5M | Series B | |
| Analytics | 2016 | $41.2M | Series B | |
| Marketing | 2007 | $318M | Debt Financing | |
| Data | 2019 | $24M | Series A | |
| Data | 2012 | $212.9M | Venture Round | |
| Analytics | 2011 | $288.1M | Venture Round | |
| Analytics | 2014 | $87.7M | Series D | |
| AI | 2021 | $68.1M | Series B | |
| AI | 2023 | $44.5M | Series A | |
| Analytics | 2019 | $193.4M | Series C | |
| AI | 2021 | $1M | Pre-Seed | |
| Marketing | 2014 | $133.8M | Series C | |
| Analytics | 2013 | $16.5M | Venture Round | |
| Data | 2015 | $31.6M | Series B | |
| Marketing | 2019 | $4.7M | Series A | |
| Data | 2011 | $256.1M | Private Equity | |
| Analytics | 2008 | $49.8M | Series C | |
| Analytics | 2017 | $11M | Seed | |
| Analytics | 2016 | $6.7M | Series A | |
| Data | 2015 | $27.9M | Series B | |
| Data | 2018 | $105.6M | Series C | |
| Analytics | 2017 | $4.5M | Angel | |
| Marketing | 2012 | $22.8M | Venture Round | |
| Analytics | 2022 | $48M | Series B | |
| Analytics | 2017 | $10M | Series A | |
| Analytics | 2013 | $18.4M | Grant | |
| AI | 2016 | $112M | Series A | |
| Analytics | 2011 | $100M | Series A | |
| Analytics | 2019 | $265.5M | Series D | |
| Analytics | 2011 | $481M | Series F | |
| Analytics | 2019 | $18M | Series A | |
| Data | 1996 | $375.5M | Venture Round | |
| AgTech | 2018 | $8.2M | Grant | |
| Analytics | 2018 | $9.2M | Seed | |
| Data | 2019 | $27M | Venture Round | |
| AI | 2016 | $258.9M | Series E | |
| Data | 2018 | $71.9M | Series A | |
| Data | 2011 | $370M | Series D | |
| Analytics | 2019 | $9.1M | Seed | |
| Analytics | 2015 | $76.7M | Series D | |
| Analytics | 2017 | $57.3M | Series B | |
| Analytics | 2012 | $57.8M | Series A | |
| Data | 2012 | $347.3M | Series E | |
| Analytics | 2015 | $215.3M | Series D | |
| Analytics | 2020 | $7.1M | Series A | |
| AI | 2024 | $8M | Seed | |
| Analytics | 2018 | $19.5M | Series A | |
| Analytics | 2012 | $259M | Series E | |
| Analytics | 1996 | $350M | Private Equity | |
| Analytics | 2016 | $27.6M | Debt Financing | |
| AI | 2017 | $20M | Series A | |
| AI | 2022 | $10M | Seed | |
| Data | 2019 | $37M | Series B | |
| AI | 2024 | $15B | Undisclosed | |
| Analytics | 2015 | $11M | Series A | |
| AI | 2022 | $60.3M | Series A | |
| Analytics | 2015 | $50M | Series B | |
| Data | 2011 | $93M | Secondary Market | |
| AI | 2013 | $35.4M | Venture Round |
