Who’s Funding BI & Analytics in 2025? Top 20 Data Analytics Investors

Data analytics is crowded. Every VC claims they understand the space. Most don't know the difference between a semantic layer and a data catalog. The investors who get it have used BI tools at scale, not just read Gartner reports.

These 20 investors closed data analytics deals from seed to growth in 2025. They're backing everything from embedded analytics to real-time data platforms.

Quick list

Finding the right data analytics investor

Experience: Find investors who've backed companies through the shift from batch to real-time, or from on-premise to cloud. Ask if they understand reverse ETL vs. ETL. Most conflate different categories. Check if they've funded both infrastructure and application layer analytics.

Network: Look for investors who can intro you to data engineering teams at growth companies, not just analysts. Portfolio connections to companies with modern data stacks matter more than brand names. Your best customers are their portfolio companies with messy data pipelines.

Alignment: Early-stage investors often don't understand data infrastructure burn rates. Series A investors who only know SaaS metrics won't get why you're spending on query optimization. Use Ellty to share your deck with trackable links. You'll see who actually opens your data architecture slides vs. just reading the executive summary.

Track record: Look at whether their portfolio companies became part of the modern data stack or got replaced by newer tools. Dead BI companies that couldn't compete with Looker are a red flag. Check if their analytics investments scaled beyond Series B.

Communication: Ask what support they provide when you're deciding between product-led and sales-led growth. Generic "we have a great network" answers are useless. You need investors who understand why freemium works for some analytics tools and fails for others. Sharing your pitch deck with them using trackable links can reveal who actually engages with critical slides.

Value-add: Most promise intros to data teams. Few have communities that drive actual design partners. Ask portfolio companies if the investor helped during pricing model changes or just showed up to board meetings with conversion rate feedback.

Reaching out to data analytics investors

• Identify potential investors: Research who backed companies at your stage with similar business models. Seed funds focused on embedded analytics won't understand your enterprise data warehouse play. Check Crunchbase for deals in BI, data infrastructure, or data observability depending on your category.
• Craft a compelling pitch: Show queries per day, data under management, or active data teams using your product. Most investors are tired of "dashboards are broken" pitches without proving your query performance is actually better. Lead with technical differentiation or economic model advantages.
• Share your pitch deck: Upload to Ellty and send trackable links. Monitor which pages investors spend time on. If they skip your query engine architecture but read go-to-market slides, they probably see you as just another BI tool.
• Utilize your network: Message data engineering leads at portfolio companies on LinkedIn. Ask about the investor's understanding of data infrastructure economics and whether they pushed for premature enterprise sales. Most will be honest if approached respectfully.
• Attend networking events: Data Council, Coalesce (dbt conference), and DataEngConf are where deals happen. Skip generic SaaS events where nobody understands column stores. Technical conferences let you meet investors who actually know what a semantic layer does.
• Engage on online platforms: Connect with partners on LinkedIn after you've published something technical or spoken at a data conference. Cold DMs rarely work. Comment on their portfolio announcements with specific insights about the data stack evolution.
• Organize due diligence: Set up an Ellty data room with your benchmark results, customer data pipeline diagrams, and query performance metrics before they ask. Include your NRR by customer data maturity level. It speeds up the process.
• Set up introductory meetings: Lead with your most impressive technical metric like query speed improvement, data processing volume, or reduction in data engineering time. Don't waste 20 minutes on market size slides about "the $X billion analytics market" they've heard 200 times.

Why data analytics matters in 2025

AI workloads changed analytics infrastructure requirements in 2024-2025. Companies need real-time feature stores, vector search capabilities, and LLM observability. Traditional analytics VCs are looking at AI-native data platforms, not just BI tools.

The shift from centralized BI teams to embedded analytics means every SaaS company needs analytics infrastructure. Data analytics isn't a separate category anymore - it's part of every B2B product. VCs know this creates both horizontal infrastructure plays and vertical-specific analytics opportunities.

20 best data analytics investors

1. Andreessen Horowitz

They backed dbt early and understand the modern data stack better than most traditional enterprise VCs.

• Recent Deals: dbt Labs $150M Series D (Mar 2025), Databricks $500M Series I (Jan 2025), Materialize $60M Series C (Feb 2025)
• LinkedIn: Andreessen Horowitz
• Sector Focus: Data infrastructure, analytics platforms, data warehouses, data transformation
• Stage Focus: Series A, Series B, Series C, Series D, Growth
• Location: Menlo Park, USA
• Website: a16z.com

2. Insight Partners

They focus on scaling software companies and have deep experience with analytics platforms going upmarket.

• Recent Deals: Sigma Computing $200M Series D (Feb 2025), Sisense $100M Series E (Mar 2025), Yellowbrick $75M Series C (Apr 2025)
• LinkedIn: Insight Partners
• Sector Focus: Business intelligence, embedded analytics, data warehouses, analytics platforms
• Stage Focus: Series C, Series D, Growth
• Location: New York, USA
• Website: insightpartners.com

3. Index Ventures

They invested in Confluent and Cockroach Labs early and know data infrastructure economics.

• Recent Deals: Motherduck $52M Series B (Apr 2025), Clickhouse $50M Series B (Feb 2025), Preset $35M Series B (Jan 2025)
• LinkedIn: Index Ventures
• Sector Focus: Data warehouses, real-time analytics, OLAP databases, analytics platforms
• Stage Focus: Seed, Series A, Series B, Series C
• Location: San Francisco, USA / London, UK
• Website: indexventures.com

4. Lightspeed Venture Partners

They backed Nutanix and understand infrastructure scaling, which helps with data platform investments.

• Recent Deals: Fivetran $250M Series D (Jan 2025), Imply $100M Series C (Mar 2025), Rockset $44M Series C (Feb 2025)
• LinkedIn: Lightspeed Venture Partners
• Sector Focus: Data integration, real-time analytics, data infrastructure, streaming analytics
• Stage Focus: Series A, Series B, Series C, Series D
• Location: Menlo Park, USA
• Website: lsvp.com

5. Accel

They've backed multiple waves of analytics companies from Looker to ThoughtSpot and know what works.

• Recent Deals: ThoughtSpot $100M Series F (Mar 2025), Sisu Data $62M Series C (Feb 2025), Observe $115M Series B (Apr 2025)
• LinkedIn: Accel Partners
• Sector Focus: Business intelligence, data observability, analytics platforms, cloud analytics
• Stage Focus: Series A, Series B, Series C, Series D, Series F
• Location: Palo Alto, USA
• Website: accel.com

6. Battery Ventures

They have a data and infrastructure practice that understands both PLG and enterprise sales for analytics.

• Recent Deals: Domo growth round (Feb 2025), Explorium $75M Series C (Jan 2025), DataRobot $250M Series G (Mar 2025)
• LinkedIn: Battery Ventures
• Sector Focus: Business intelligence, data science platforms, analytics automation, cloud BI
• Stage Focus: Series B, Series C, Series D, Growth
• Location: Boston, USA / San Francisco, USA
• Website: battery.com

7. GGV Capital

They understand analytics in both US and international markets, helpful for global data infrastructure plays.

• Recent Deals: Hex $52M Series B (Apr 2025), Airbyte $150M Series C (Mar 2025), Kyligence $70M Series D (Feb 2025)
• LinkedIn: GGV Capital
• Sector Focus: Data notebooks, data integration, OLAP analytics, modern BI tools
• Stage Focus: Series A, Series B, Series C, Series D
• Location: Menlo Park, USA / Shanghai, China
• Website: ggvc.com

8. ICONIQ Growth

They work with late-stage companies and understand analytics at enterprise scale with complex deployments.

• Recent Deals: Databricks $500M Series I (Jan 2025), Snowflake portfolio support ongoing, Datadog portfolio support ongoing
• LinkedIn: ICONIQ Growth
• Sector Focus: Data platforms, cloud warehouses, observability, enterprise analytics
• Stage Focus: Series C, Series D, Growth, Late Stage
• Location: San Francisco, USA
• Website: iconiqcapital.com

9. Redpoint Ventures

They invested in Snowflake and HashiCorp early and understand data infrastructure unit economics.

• Recent Deals: Census $60M Series B (Mar 2025), Transform $24M Series A (Feb 2025), Metaplane $8.4M Series A (Apr 2025)
• LinkedIn: Redpoint Ventures
• Sector Focus: Reverse ETL, metrics layers, data observability, data activation
• Stage Focus: Seed, Series A, Series B, Series C
• Location: Menlo Park, USA / San Francisco, USA
• Website: redpoint.com

10. Sequoia Capital

They backed Snowflake and Databricks and have the deepest pockets for data infrastructure at scale.

• Recent Deals: Tabular $26M Series A (Feb 2025), Pinecone $100M Series B (Mar 2025), Weaviate $50M Series B (Apr 2025)
• LinkedIn: Sequoia Capital
• Sector Focus: Data warehouses, vector databases, data lakehouse platforms, analytics infrastructure
• Stage Focus: Series A, Series B, Series C, Growth
• Location: Menlo Park, USA
• Website: sequoiacap.com

11. Bessemer Venture Partners

They have portfolio companies across the data stack and understand how analytics tools integrate.

• Recent Deals: Shopify data platform support ongoing, Twilio Segment support ongoing, Windmill $6M seed (Mar 2025)
• LinkedIn: Bessemer Venture Partners
• Sector Focus: Customer data platforms, workflow automation, data integration, embedded analytics
• Stage Focus: Seed, Series A, Series B, Series C
• Location: Menlo Park, USA / New York, USA
• Website: bvp.com

12. FirstMark Capital

They backed Pinterest and Shopify early and understand product analytics and user behavior data.

• Recent Deals: Preset $35M Series B (Apr 2025), Airflow portfolio support via Astronomer, Monte Carlo support ongoing
• LinkedIn: FirstMark Capital
• Sector Focus: Open source analytics, data quality, workflow orchestration, modern BI
• Stage Focus: Series A, Series B, Series C
• Location: New York, USA
• Website: firstmarkcap.com

13. Greylock Partners

They invested in Cloudera early and have technical partners who understand distributed systems.

• Recent Deals: Labelbox $110M Series D (Feb 2025), Mode Analytics portfolio support (Mar 2025), LinkedIn data platform support ongoing
• LinkedIn: Greylock Partners
• Sector Focus: Data labeling, SQL analytics, data infrastructure, ML data platforms
• Stage Focus: Series A, Series B, Series C, Series D
• Location: Menlo Park, USA
• Website: greylock.com

14. Madrona Venture Group

They backed Tableau before the exit and understand Pacific Northwest analytics companies well.

• Recent Deals: Iteratively $15M Series A (Mar 2025), Tableau portfolio legacy support, Temporal $103M Series B (Feb 2025)
• LinkedIn: Madrona Venture Group
• Sector Focus: Product analytics, workflow orchestration, data governance, cloud BI
• Stage Focus: Seed, Series A, Series B
• Location: Seattle, USA
• Website: madrona.com

15. General Catalyst

They have portfolio companies with massive data infrastructure needs and understand buyer personas.

• Recent Deals: Astronomer $213M Series C (Feb 2025), Unstructured $40M Series B (Mar 2025), Cribl $150M Series D (Jan 2025)
• LinkedIn: General Catalyst
• Sector Focus: Data orchestration, unstructured data, observability, log analytics
• Stage Focus: Series A, Series B, Series C, Series D
• Location: Cambridge, USA / San Francisco, USA
• Website: generalcatalyst.com

16. Altimeter Capital

They focus on public market tech and late-stage data infrastructure with enterprise traction.

• Recent Deals: Snowflake portfolio support ongoing, Datadog portfolio support ongoing, Elastic portfolio support ongoing
• LinkedIn: Altimeter Capital
• Sector Focus: Cloud data warehouses, observability platforms, search analytics, enterprise data platforms
• Stage Focus: Late Stage, Growth, Pre-IPO
• Location: Menlo Park, USA
• Website: altimeter.com

17. Emergence Capital

They pioneered SaaS investing and understand analytics ARR models better than most infrastructure VCs.

• Recent Deals: Amplitude growth rounds (Jan 2025), Zoom data analytics support ongoing, Box analytics platform support ongoing
• LinkedIn: Emergence Capital
• Sector Focus: Product analytics, embedded analytics, SaaS analytics, usage intelligence
• Stage Focus: Series A, Series B, Series C, Growth
• Location: San Mateo, USA
• Website: emcap.com

18. Bain Capital Ventures

They have operational expertise helping portfolio companies with data-driven decision making.

• Recent Deals: Hightouch $40M Series B (Mar 2025), Keboola $32M Series B (Feb 2025), Variance $5.2M seed (Apr 2025)
• LinkedIn: Bain Capital Ventures
• Sector Focus: Reverse ETL, data pipeline automation, customer data activation, analytics automation
• Stage Focus: Seed, Series A, Series B
• Location: San Francisco, USA / Boston, USA
• Website: baincapitalventures.com

19. Menlo Ventures

They backed Uber and understand operational analytics at scale with real-time requirements.

• Recent Deals: Monte Carlo $135M Series C (Apr 2025), Gong $250M Series E (Feb 2025), Harness $230M Series D (Jan 2025)
• LinkedIn: Menlo Ventures
• Sector Focus: Data observability, revenue intelligence, deployment analytics, operational analytics
• Stage Focus: Series B, Series C, Series D, Series E
• Location: Menlo Park, USA
• Website: menlovc.com

20. OMERS Ventures

They're a Canadian growth fund with strong enterprise software experience and patient capital.

• Recent Deals: Starburst $250M Series D (Feb 2025), Fivetran support ongoing, Cohere $270M Series C (Mar 2025)
• LinkedIn: OMERS Ventures
• Sector Focus: Distributed query engines, data federation, AI data platforms, enterprise data infrastructure
• Stage Focus: Series C, Series D, Growth
• Location: Toronto, Canada / Menlo Park, USA
• Website: omersventures.com

Track investor engagement with your analytics pitch

These 20 investors closed data analytics deals from early 2023 through November 2025. Before you start reaching out, set up proper tracking.

Before you start reaching out, make sure your tracking is set up. Upload your deck to Ellty and create a unique link for each investor. With our document analytics, you’ll see exactly which slides they view and how much time they spend on your query-performance benchmarks. Most founders are surprised to learn investors skip competitive-landscape slides but spend 10+ minutes on the data model and pricing strategy.

When investors ask for technical details during diligence, share an Ellty data room instead of scattered Google Drive folders. Your benchmark results, customer pipeline diagrams, and integration specs in one secure place with view analytics.

Common questions

How do I know if an investor understands modern data stack vs. legacy BI?

Check if their portfolio includes companies like dbt, Fivetran, or Hightouch. Ask portfolio founders if the VC understood reverse ETL or metrics layers during pitch meetings. Most traditional enterprise investors still think analytics means dashboards and reports.

Should I target data infrastructure or application layer investors?

Depends on your product. If you're building query engines or storage, talk to infrastructure VCs. If you're building BI or embedded analytics, look for application layer investors. Some VCs like Accel and Index do both, but most specialize.

What metrics do data analytics investors care about most?

Data under management, queries per day, seats or workspaces, gross retention, and expansion revenue. For infrastructure plays, show query performance and cost efficiency. For BI tools, show active users and dashboard engagement. Revenue concentration by customer matters more in analytics than other SaaS.

How many investors should I reach out to simultaneously?

Target 12-18 that match your stage and category. Research their thesis on embedded vs. standalone analytics. Seed investors focused on PLG won't understand your enterprise data governance play. Series B investors want predictable expansion revenue, not just land-and-expand promises.

Do I need to show technical benchmarks in my pitch?

For infrastructure plays like warehouses or query engines, yes. Investors will ask for TPC-H results or query latency comparisons. For application layer analytics, focus on user engagement and workflow metrics instead. Know which matters for your category.

When should I set up a data room for technical diligence?

Before first calls with serious investors. They'll ask for architecture diagrams, data pipeline details, and customer integration examples. Having everything organized in an Ellty data room saves you from scrambling during diligence and shows you're organized.