There’s a pattern you see when you look at the Fortune 500’s technology stack in 2026. Whether the company is a bank, a pharma giant, or a CPG brand, Snowflake keeps showing up.
That’s not a coincidence.
Snowflake’s cloud-native architecture solves a problem that legacy data warehouses never could: it separates compute from storage, which means companies can scale analytics workloads without blowing up their infrastructure budget. Add to that the platform’s multi-cloud flexibility across AWS, Azure, and Google Cloud, and you have a solution that enterprise IT teams can actually get behind.
By 2026, more than 14,500 verified companies worldwide use Snowflake. Among those are hundreds of the world’s largest organizations. Nearly 57% of Fortune 500 financial services firms have adopted it. And Snowflake was ranked number one on Fortune’s prestigious Future 50 list in 2025 for the second time in three years, which tells you everything about where this platform is headed.
The question isn’t whether Snowflake has enterprise adoption. The question is: which companies are using it, and what are they actually doing with it?
Let’s break it down by industry.
Quick Overview: Fortune 500 Companies Using Snowflake by Industry
Here’s a high-level look at the companies we’ll be covering in this piece, organized by sector.
| Industry | Notable Fortune 500 Companies Using Snowflake |
| Financial Services | JPMorgan Chase, Capital One, Morgan Stanley, BlackRock, Fidelity Investments, Nomura |
| Technology and Media | Adobe, Electronic Arts, NBC Universal, Thomson Reuters |
| Healthcare and Insurance | Anthem / Elevance Health, McKesson, Novartis, Aetna (CVS Health) |
| Food, Beverage, and Retail | PepsiCo, Kraft Heinz, ConAgra Foods, Albertsons, Office Depot |
| Transportation and Logistics | Uber Technologies, JetBlue |
| Professional Services | Deloitte, Cognizant |
Now let’s go deeper on each of these companies, what they do with Snowflake, and why this matters if you’re selling to or targeting these organizations.
Looking for a targeted list of Snowflake users in a specific industry? Explore our Snowflake Users List to connect with verified decision-makers at companies using Snowflake.
Financial Services Companies Using Snowflake
Financial services is where Snowflake’s penetration is deepest. With regulatory complexity, massive data volumes, and the constant pressure to generate real-time risk and compliance insights, it’s no surprise that banks, asset managers, and insurance firms have rushed to adopt it.
JPMorgan Chase
Industry: Banking and Investment Services | Headquarters: New York, USA | Region: Global | Annual Revenue (2025): ~$168B
JPMorgan Chase is the largest bank in the United States by assets, with $4.6 trillion on its balance sheet as of late 2025. Its data infrastructure is a serious operation spanning investment banking, commercial banking, retail, and asset management under one roof.
The firm uses Snowflake to centralize data management across business lines, support real-time analytics for trading and risk functions, and streamline reporting that would otherwise require multiple legacy systems working in tandem. At this scale, the ability to elastically scale compute without touching storage is not a nice-to-have. It directly reduces the cost of running intensive risk workloads during peak market hours without over-provisioning for idle time. Snowflake’s architecture makes that kind of intelligent resource allocation straightforward in a way that on-premise warehouses simply cannot.
Capital One
Industry: Consumer Banking and Financial Services | Headquarters: McLean, Virginia, USA | Region: North America | Annual Revenue (2025): ~$32.78B
Capital One has long positioned itself as a technology company that happens to have a banking license. Their adoption of Snowflake fits neatly into that identity. Capital One uses the platform for machine learning workflows, customer analytics, and real-time fraud detection pipelines.
Their engineering teams have been particularly vocal about how Snowflake’s architecture allows data scientists and ML engineers to work on the same underlying data without resource contention. For a company processing tens of millions of daily card transactions and making AI-driven credit decisions in milliseconds, separating compute from storage is operationally critical. It means a fraud model retraining job doesn’t throttle the customer analytics team running on the same data.
Morgan Stanley
Industry: Investment Banking and Wealth Management | Headquarters: New York, USA | Region: Global | Annual Revenue (2025): ~$61.8B
Morgan Stanley named Snowflake its Strategic Partner of the Year in 2025. That recognition doesn’t happen without serious organizational commitment. Over seven years of partnership, Morgan Stanley has used Snowflake to power data-driven compliance workflows and analytics across its wealth management and institutional securities businesses.
The platform’s immutable data features are particularly valuable in financial services, where audit trails and regulatory documentation are non-negotiable. Snowflake gives Morgan Stanley the ability to query historical states of data without maintaining expensive separate audit databases, which translates directly into compliance cost savings at enterprise scale. For a firm generating $61.8B in revenue across dozens of regulated products and geographies, that operational efficiency matters.
BlackRock
Industry: Asset Management | Headquarters: New York, USA | Region: Global | AUM (2025): ~$13.5 Trillion
BlackRock manages more assets than any other investment firm in the world. The data needs that come with overseeing $13.5 trillion in AUM across equities, fixed income, alternatives, and ETFs are immense. BlackRock uses Snowflake as part of its Aladdin platform ecosystem, enabling portfolio analytics, risk modeling, and reporting at scale across thousands of institutional clients.
In 2025, BlackRock also became a collaborator on Snowflake’s Open Semantic Interchange initiative, which standardizes how AI-ready data flows across partner ecosystems. For a firm that sells data infrastructure to institutional clients alongside its own investment products, being embedded in Snowflake’s AI data standard is a strategic play as much as a technical one.
Fidelity Investments
Industry: Asset Management and Financial Services | Headquarters: Boston, Massachusetts, USA | Region: North America | Estimated Revenue: ~$30B+
Fidelity is one of the largest privately held companies in the United States and one of the most data-intensive financial firms in the world. From mutual fund management to retail brokerage to workplace retirement benefits, Fidelity runs analytics across an enormous customer and product base.
Snowflake supports Fidelity’s data engineering teams in managing unified data pipelines that feed both internal analytics and customer-facing products. The ability to unify data from retirement plans, brokerage accounts, and insurance products into a single queryable environment without duplicating the underlying data is a core operational advantage for firms like Fidelity running across multiple financial product lines and regulatory environments simultaneously.
Nomura Holdings
Industry: Investment Banking | Headquarters: Tokyo, Japan | Region: Asia-Pacific and Global | Annual Revenue (2025): ~$15B+
Nomura is Japan’s largest investment bank, with significant operations across Asia, Europe, and the Americas. The firm uses Snowflake to consolidate cross-regional data and support compliance reporting across multiple regulatory jurisdictions simultaneously.
For multinational financial institutions like Nomura, Snowflake’s cross-cloud data sharing capabilities are particularly valuable. They allow data to be governed centrally while remaining accessible across regional teams without creating redundant copies that introduce compliance risk. Operating under FINRA, FCA, and FSA requirements at the same time is a data governance challenge that a fragmented multi-system architecture simply cannot handle efficiently.
Reach financial services decision-makers at Snowflake-using firms. Request a custom financial services list with verified contacts segmented by technology stack.
Technology and Media Companies Using Snowflake
Technology and media companies have unique data challenges: massive event streams, content performance analytics, advertising attribution, and the need to support both structured and semi-structured data at the same time. Snowflake handles all of these without requiring separate tools for each use case.
Adobe
Industry: Enterprise Software and Digital Experience | Headquarters: San Jose, California, USA | Region: Global | Annual Revenue (FY2025): $23.77B
Adobe is one of the most recognized brands in enterprise software, and its Experience Cloud platform is built on top of a sophisticated data infrastructure. Adobe uses Snowflake to power analytics across its marketing, creative, and document cloud product lines, all of which generate significant event and behavioral data at scale.
Adobe Experience Platform, which helps brands understand customer journeys in real time, integrates directly with Snowflake. For Adobe’s 300,000+ business customers, this means their event and behavioral data can be unified in Snowflake and activated directly into Adobe’s tools without friction or data duplication. Adobe’s $23.77B in FY2025 revenue, growing at 11% year over year, reflects how central their data platform strategy is to their overall product stickiness.
Electronic Arts (EA)
Industry: Video Games and Interactive Entertainment | Headquarters: Redwood City, California, USA | Region: Global | Annual Revenue (FY2025): ~$7B
EA is one of the world’s largest video game publishers, and live-service gaming creates one of the most demanding real-time analytics environments in any industry. When millions of players are online simultaneously across FIFA, Apex Legends, and Battlefield, understanding in-game behavior, matchmaking quality, server performance, and monetization patterns in real time is operationally critical.
EA uses Snowflake to centralize player telemetry data and run analytics that inform both live operations teams and product teams building future content updates. For a company running multiple franchises with hundreds of millions of active players globally, unified player data is a competitive asset as much as a technical requirement. A single misread of engagement trends can cost a live-service game millions in lost revenue from poorly timed content releases.
NBC Universal
Industry: Media and Entertainment | Headquarters: New York, USA (Part of Comcast) | Region: USA and Global | Parent Revenue (Comcast, 2025): ~$124B
NBC Universal spans broadcast television, streaming, film, and theme parks. The breadth of its data needs, from streaming viewership patterns on Peacock to advertising campaign attribution across linear and digital channels, makes a centralized data cloud essential. Running analytics in silos across each property would make cross-channel audience insights impossible.
Snowflake gives NBC Universal the ability to run unified analytics across what would otherwise be fragmented data spread across its media properties. Advertisers buying media across NBC Universal properties benefit directly from this, since unified audience data enables more precise targeting and better attribution than a fragmented multi-system approach can deliver.
Thomson Reuters
Industry: Information Services and Legal Technology | Headquarters: Toronto, Canada | Region: Global | Annual Revenue (2025): ~$7.2B
Thomson Reuters is one of the clearest examples of how Snowflake is evolving from a data warehouse into a full AI platform for enterprise. The company has deployed AI-powered agents built on Snowflake Cortex Search and LLM Observability, enabling business users across finance and HR to query and extract insights from information using natural language.
This use case, where Snowflake sits at the center of an AI agent layer serving operational teams in near-real time, is exactly the direction enterprise data strategy is heading in 2026. Thomson Reuters’s deployment is the kind of production case study that Snowflake now points to when explaining what Cortex AI is capable of in a real enterprise environment at scale.
Looking to target technology and media buyers at Snowflake-using companies? Browse our Technology Users Lists for verified contacts segmented by platform adoption.
Healthcare and Insurance Companies Using Snowflake
Healthcare is a sector with some of the most complex data governance requirements on the planet. HIPAA compliance, patient data security, and the need to unify fragmented clinical and claims data across systems have historically made healthcare one of the slowest sectors to modernize its data infrastructure. Snowflake’s HIPAA-eligible configurations and robust security model have changed that calculus for many large health systems and insurers.
Anthem / Elevance Health
Industry: Health Insurance | Headquarters: Indianapolis, Indiana, USA | Region: USA | Annual Revenue (2025): ~$180B+
Anthem, now rebranded as Elevance Health, is one of the largest health insurance companies in the United States, serving more than 45 million members across commercial, Medicare, and Medicaid plans. Elevance uses Snowflake to consolidate member data, claims data, and clinical information across its various plan types and markets into a unified analytical environment.
This supports both operational analytics such as claim processing efficiency and network management, as well as population health initiatives where identifying at-risk members early can significantly reduce downstream costs. For an insurer at Elevance’s scale, even modest improvements in care management efficiency generate substantial financial and health outcomes impact across millions of members.
McKesson
Industry: Healthcare Distribution and IT | Headquarters: Irving, Texas, USA | Region: North America | Annual Revenue (FY2025): ~$359B
McKesson is one of the largest companies in the United States by revenue, and one of the largest healthcare distribution companies in the world. Its data infrastructure needs span pharmaceutical distribution, health IT services, and oncology care management across thousands of provider and pharmacy locations.
Snowflake helps McKesson manage supply chain data analytics, provider network intelligence, and cross-business-unit reporting at scale. For a company whose operations affect how medications reach patients across the country daily, data accuracy and speed of insight are not optional features. They are operational necessities with direct patient care implications at every point in the supply chain.
Novartis
Industry: Pharmaceuticals | Headquarters: Basel, Switzerland | Region: Global (140+ countries) | Annual Revenue (2025): ~$56.7B
Novartis has been one of the most public pharma companies about its data and AI transformation strategy. Snowflake is a core part of the infrastructure supporting Novartis’s drug development analytics, commercial operations, and real-world evidence programs across its global footprint.
The ability to share genomic and clinical trial data securely with research partners, without creating physical data copies, is one of Snowflake’s key value propositions for pharma companies running collaborative research programs. Novartis operates across more than 140 countries, which means a cross-cloud, multi-region data sharing architecture is not a luxury. It is the only practical way to run a globally distributed research and commercial operation at this revenue scale.
Aetna (CVS Health)
Industry: Health Insurance and Pharmacy | Headquarters: Woonsocket, Rhode Island, USA | Region: USA | Parent Revenue (CVS Health, 2025): ~$370B
Following CVS Health’s acquisition of Aetna, the combined entity became one of the largest healthcare companies in the United States by revenue. Aetna’s data operations, which span health insurance, pharmacy benefit management, and pharmacy retail, are unified through modern cloud data infrastructure including Snowflake.
Analytics use cases range from pharmacy dispensing optimization to insurance risk modeling and member experience personalization. The integration of pharmacy and insurance data under one analytical roof is a meaningful competitive differentiator for CVS Health, and Snowflake’s unified data sharing model is central to making that work across what were originally two separate company databases with entirely different schemas and governance frameworks.
Connect with healthcare buyers at Snowflake-using organizations. Explore our Healthcare Professionals Lists to reach verified decision-makers in health systems, insurance, and pharma.
Food, Beverage, and Retail Companies Using Snowflake
Consumer goods and retail companies live and die by their ability to understand consumer behavior, optimize supply chains, and run promotions that actually move volume. Snowflake has become a key platform for this sector because it can unify point-of-sale data, syndicated retail data, digital marketing signals, and supply chain telemetry into a single analytical environment without requiring a complex ETL layer.
PepsiCo
Industry: Food and Beverage | Headquarters: Purchase, New York, USA | Region: Global (200+ countries) | Annual Revenue (2025): ~$93.9B
PepsiCo operates across beverages, snacks, and nutrition with a global footprint spanning more than 200 countries. Their data challenges are enormous: forecasting demand by SKU across thousands of markets, managing promotional effectiveness across dozens of retail banners, and understanding shopper behavior across both owned digital channels and retail partners simultaneously.
PepsiCo uses Snowflake to power a centralized data hub that supports everything from supply chain analytics to digital marketing attribution. For a company running both the Pepsi beverage line and the Frito-Lay snacks business with distinct supply chains and retail relationships, having a single data cloud that can be queried uniformly across both businesses is a meaningful operational advantage that shows up in forecast accuracy and promotional ROI.
Kraft Heinz
Industry: Packaged Foods | Headquarters: Chicago, Illinois, USA | Region: Global | Annual Revenue (2025): ~$25B
Kraft Heinz is in the middle of a significant digital transformation, and modernizing its data infrastructure is a central part of that effort. Snowflake helps Kraft Heinz integrate data from retail partners, e-commerce channels, and internal manufacturing operations so that commercial teams can make faster, better-informed decisions about pricing, promotion, and product mix.
For a company managing hundreds of SKUs across multiple brand portfolios globally, unified data analytics is the difference between reactive category management and proactive commercial strategy. When a retail partner’s scan data shows a sales dip two weeks before a promotion window, Kraft Heinz’s analytics teams need to see that signal in near-real time, not in a weekly batch report.
ConAgra Foods
Industry: Consumer Packaged Goods | Headquarters: Chicago, Illinois, USA | Region: North America and Global | Annual Revenue (2025): ~$12B
ConAgra operates a portfolio of well-known food brands including Birds Eye, Duncan Hines, and Healthy Choice. The company faces the same data fragmentation challenge as most large CPG firms: siloed data across brands, retail channels, and geographies that makes unified consumer and commercial insights difficult to generate.
Snowflake’s data sharing capabilities are particularly valuable here because they enable direct, live data sharing with retail partners and analytics agencies without the overhead of moving files. When a retail partner shares daily scan data, ConAgra’s analytics teams can query it directly without waiting for overnight file transfers or managing complex ETL pipelines that introduce lag and data quality risk.
Albertsons Companies
Industry: Grocery Retail | Headquarters: Boise, Idaho, USA | Region: USA | Annual Revenue (2025): ~$80B+
Albertsons is one of the largest supermarket chains in the United States, operating more than 2,200 stores under banners including Safeway, Vons, and Jewel-Osco. Retail grocery generates enormous amounts of transaction data daily, and Albertsons uses Snowflake to power their retail analytics programs, personalization initiatives, and the advertising data products they sell through their retail media network.
Retail media has become a major revenue stream for large grocery chains in 2025 and 2026. Albertsons’s ability to offer CPG advertisers audience targeting built on verified purchase data at scale depends entirely on having a modern, fast, queryable data cloud underneath it. Snowflake is that foundation.
Office Depot
Industry: Office Products Retail | Headquarters: Boca Raton, Florida, USA | Region: USA and North America | Annual Revenue (2025): ~$6B
Office Depot operates as both a B2C and B2B retailer, selling office supplies through stores, its e-commerce channel, and enterprise contract accounts. Snowflake helps Office Depot consolidate data from these three structurally different channels into a unified environment for analytics.
Retailers serving both consumers and business customers need a data platform that can handle the differences between consumer transaction data and B2B contract order management without requiring separate systems or complex reconciliation workflows. Snowflake’s schema flexibility and support for semi-structured data makes it suited to exactly this kind of mixed-channel retail environment.
Selling into retail or CPG accounts that use Snowflake? Request a targeted Snowflake users list segmented by industry and company size.
Transportation and Logistics Companies Using Snowflake
Transportation companies generate massive operational data streams: GPS telemetry, booking events, pricing signals, maintenance records, and customer experience data. The companies winning in this sector in 2026 are the ones turning that data into operational intelligence faster than their competitors.
Uber Technologies
Industry: Ride-Hailing, Delivery, and Logistics | Headquarters: San Francisco, California, USA | Region: Global (70+ countries) | Annual Revenue (2025): ~$52B
Uber is, at its core, a data company. Every trip generates a stream of location, pricing, matching, and behavioral data that needs to be processed, analyzed, and acted upon in near-real time. Uber uses Snowflake for machine learning workflows and data analytics across their rideshare, Uber Eats, and freight business lines.
At the scale Uber operates, with more than 3 billion trips in a single quarter, even marginal improvements in matching efficiency or dynamic pricing accuracy translate to significant business outcomes. Uber’s 18% revenue growth in 2025 to $52B reflects how well their data infrastructure supports fast product and pricing iteration across a global network that no traditional analytics stack could have powered.
JetBlue
Industry: Commercial Aviation | Headquarters: Long Island City, New York, USA | Region: USA and International | Annual Revenue (2025): ~$9B
JetBlue uses Snowflake to support analytics functions across commercial and operational teams. In aviation, data use cases span revenue management such as optimizing fares by route and booking window, operational analytics for predicting maintenance needs and managing crew scheduling, and customer analytics for understanding loyalty program behavior and personalizing offers.
Snowflake’s ability to handle both structured and semi-structured data makes it well-suited to the mixed data environment airlines operate in, where structured reservation data coexists with semi-structured telemetry from aircraft systems and unstructured customer feedback from multiple touchpoints across the travel experience.
Professional Services Companies Using Snowflake
Professional services firms occupy a unique position in the Snowflake ecosystem. They are both major users of the platform internally and the primary implementers of it for enterprise clients. Their relationship with Snowflake runs deeper than a standard vendor-customer dynamic.
Deloitte
Industry: Audit, Consulting, and Advisory | Headquarters: New York, USA (Global network) | Region: Global (150+ countries) | Annual Revenue (FY2024): ~$67B
Deloitte is one of the Big Four accounting and consulting firms and one of Snowflake’s most significant ecosystem partners. Internally, Deloitte uses Snowflake to power its own analytics and audit practices. Externally, Deloitte is one of the most active Snowflake implementation partners globally, deploying the platform for clients across every industry vertical.
When a Fortune 500 company decides to migrate to Snowflake, there is a reasonable chance Deloitte is leading that engagement. Their combination of deep industry expertise across financial services, healthcare, and manufacturing with a large bench of certified Snowflake engineers makes them the default choice for large-scale enterprise data modernization projects that require both technical execution and regulatory guidance.
Cognizant
Industry: IT Services and Consulting | Headquarters: Teaneck, New Jersey, USA | Region: Global (35+ countries) | Annual Revenue (FY2025): ~$21.1B
Cognizant was named Snowflake’s Global Data Cloud Services Implementation Partner of the Year for 2026. That recognition reflects years of sustained investment in Snowflake practices across Cognizant’s industry verticals. The company brings its proprietary Data Estate Migration toolkit to enterprise Snowflake deployments, which accelerates migrations by standardizing the assessment, design, and execution phases that typically add months to large-scale data warehouse modernization projects.
Cognizant’s global delivery model, with major engineering centers across India, the US, and Europe, means they can staff large Snowflake migrations at a speed and cost structure that boutique firms simply cannot match. At $21.1B in 2025 revenue growing at over 7% year on year, Cognizant’s Snowflake practice is a meaningful and expanding contributor to that growth.
Connect with IT and data decision-makers at Snowflake-using and Snowflake-implementing firms. Browse our Technology Lists to reach verified contacts across the ecosystem.
Why So Many Fortune 500 Companies Are Choosing Snowflake
The adoption numbers are not random. When you look at what all of these companies have in common, a few clear patterns emerge.
They deal with data scale that breaks traditional systems. Whether it’s JPMorgan’s transaction volumes, EA’s player telemetry, or McKesson’s supply chain data, these companies outgrew on-premise data warehouses years ago. Snowflake’s elastic compute architecture scales to meet demand without over-provisioning infrastructure that sits idle 80% of the time.
They need to share data without copying it. Secure Data Sharing is one of Snowflake’s most differentiating enterprise features. Novartis can share clinical data with research partners. Albertsons can share shopper data with CPG brands for retail media. None of that requires moving files, spinning up separate databases, or negotiating complex data transfer agreements.
They are building AI and they need a data foundation that can support it. Snowflake’s Cortex AI platform, with its Model Context Protocol server and agentic AI capabilities, means companies like Thomson Reuters can build AI agents directly on top of their operational data in Snowflake. That reduces vendor contracts, integration points, and the latency between data and decision.
Multi-cloud flexibility removes vendor lock-in risk. For Fortune 500 companies with mixed cloud environments, being able to run Snowflake across AWS, Azure, and Google Cloud is a meaningful architectural advantage that shows up in both cost negotiation leverage and operational resilience when one cloud provider has an outage.
Reaching Decision-Makers at Companies Using Snowflake
If you’re selling to technology buyers, data teams, or IT leaders at Snowflake-using organizations, understanding their tech stack is only half the equation. The other half is getting in front of the right person with the right message at the right time.
At Span Global Services, we maintain one of the most comprehensive and verified databases of technology users globally. Whether you need a list of companies using Snowflake segmented by industry, company size, geography, or job function, we can build it.
Our data covers:
- CIOs, CTOs, and VP of Engineering at companies with confirmed Snowflake adoption
- Data Engineers, Analytics Leaders, and Data Architects who influence platform purchasing decisions
- Finance and Operations executives at organizations running Snowflake for business intelligence and AI
Every contact is verified, regularly refreshed, and delivered with the firmographic context you need to run a focused outbound campaign that doesn’t waste budget on outdated or unverified records.
Ready to connect with Snowflake users at Fortune 500 companies? Request a custom Snowflake users email list and we’ll have it ready for your team within 48 hours.
Frequently Asked Questions
Which Fortune 500 companies use Snowflake?
Some of the most well-known Fortune 500 companies using Snowflake include JPMorgan Chase, Capital One, Morgan Stanley, Adobe, PepsiCo, Kraft Heinz, Novartis, McKesson, and Uber Technologies. Hundreds of Fortune 500 companies across financial services, healthcare, tech, and retail use Snowflake as their primary cloud data platform.
How many companies use Snowflake in 2026?
As of 2026, over 14,500 verified companies worldwide use Snowflake. This includes large enterprises, mid-market companies, and fast-growing startups across industries like finance, healthcare, technology, retail, and logistics.
Why do Fortune 500 companies prefer Snowflake over other data platforms?
The main reasons are elastic scalability, multi-cloud support across AWS, Azure, and Google Cloud, and the ability to share live data securely without creating copies. For large enterprises managing massive data volumes across multiple business units, these capabilities reduce both infrastructure cost and operational complexity significantly.
Is Snowflake used in financial services?
Yes, heavily. Nearly 57% of Fortune 500 financial services firms use Snowflake. Companies like JPMorgan Chase, Morgan Stanley, BlackRock, and Capital One rely on it for real-time risk analytics, compliance reporting, fraud detection, and machine learning workflows.
How can I reach decision-makers at companies that use Snowflake?
The most effective approach is using a verified Snowflake users email list segmented by industry, company size, and job function. Span Global Services provides custom-built technology users lists that include CIOs, CTOs, data engineers, and analytics leaders at confirmed Snowflake-using organizations. Request a custom list here.
Final Thoughts
The list of companies using Snowflake in 2026 is a who’s who of data-driven enterprise. JPMorgan Chase, Adobe, PepsiCo, Novartis, Uber, and dozens of others have all made Snowflake a central piece of how they run their analytics and AI operations.
What that tells you, if you’re a B2B marketer or sales team targeting this space, is that Snowflake adoption is a strong buying signal. Companies that have invested in a modern data cloud are also far more likely to invest in the tools, services, and data that sit on top of it.
If you want to reach those buyers, the first step is having the right data. Talk to our team and let’s build a campaign strategy around the Snowflake user segment that matters most to your business.
Related Resources from Span Global Services:
- Snowflake Users Email List
- Technology Users Lists by Platform
- CIO and CTO Email Lists
- Financial Services Industry Email List
- Healthcare Professionals Email List
Sources: Snowflake official customer documentation, Snowflake Q2 FY2026 earnings release, Fortune Future 50 2025, Landbase 2026 technology data, Pitchbook 2026 company profile, MacroTrends 2025 revenue data, SEC filings (JPMorgan Chase, Adobe, Uber Technologies, Novartis, Capital One, Cognizant), Morgan Stanley FY2025 earnings release, McKesson FY2025 annual report, Span Global Services B2B research.
