Connect with decision-makers at 1,097,842 companies using Analytics & Data Science solutions.
Analytics & Data Science solutions are used by businesses worldwide to streamline operations, improve efficiency, and drive growth. ELP Data provides verified contact lists for all major Analytics & Data Science platforms.
ELP Data tracks 1,097,842 verified companies running Analytics & Data Science solutions worldwide. Each company record maps to verified decision-maker contacts — IT Director, CTO, VP Operations and more — giving sales and marketing teams direct access to the professionals with budget authority for Analytics & Data Science purchases, renewals, and expansions.
The Analytics & Data Science category spans 27 applications, from market-leading platforms to specialised tools serving niche verticals. Whether you sell complementary software, implementation services, training, or a competing solution, ELP Data's Analytics & Data Science contact database gives you a pre-qualified audience of buyers who have already invested in this technology category.
Companies in the Analytics & Data Science installed base share a common characteristic: they have already cleared the highest hurdle in B2B sales — budget approval and technology adoption. These organisations are not prospects who need convincing that this category of software matters. They are active users managing live deployments, dealing with real challenges, and regularly evaluating vendors who can help them get more value from their existing investment. This makes them significantly more receptive to targeted outreach than cold accounts with no prior engagement in the category.
ELP Data refreshes the Analytics & Data Science database quarterly, removing organisations that have churned from the platform and adding newly identified users based on fresh technology signals. Every email address is verified for deliverability before the list is compiled. Any record that bounces after delivery is replaced at no charge, backed by the 97% accuracy guarantee that applies to every list ELP Data delivers.
Over 1,097,842 companies use Analytics & Data Science globally
27++ individual applications tracked
Decision-maker contacts available for all platforms
97% data accuracy rate with quarterly refresh
Each application has its own verified users list. Click any application to see company counts, decision-maker contacts, and request a free sample.
SAS is used by 87,816 companies. Get verified decision-maker contacts for all SAS users.
SPSS is used by 83,298 companies. Get verified decision-maker contacts for all SPSS users.
R is used by 78,366 companies. Get verified decision-maker contacts for all R users.
Python is used by 83,296 companies. Get verified decision-maker contacts for all Python users.
Apache Spark is used by 83,294 companies. Get verified decision-maker contacts for all Apache Spark users.
Hadoop is used by 43,848 companies. Get verified decision-maker contacts for all Hadoop users.
Databricks is used by 83,292 companies. Get verified decision-maker contacts for all Databricks users.
Snowflake is used by 83,288 companies. Get verified decision-maker contacts for all Snowflake users.
Palantir is used by 83,286 companies. Get verified decision-maker contacts for all Palantir users.
Alteryx is used by 21,624 companies. Get verified decision-maker contacts for all Alteryx users.
Tableau is used by 78,922 companies. Get verified decision-maker contacts for all Tableau users.
Power BI is used by 89,726 companies. Get verified decision-maker contacts for all Power BI users.
Qlik Sense is used by 49,412 companies. Get verified decision-maker contacts for all Qlik Sense users.
Looker (Google) is used by 83,282 companies. Get verified decision-maker contacts for all Looker (Google) users.
Domo is used by 17,442 companies. Get verified decision-maker contacts for all Domo users.
MicroStrategy is used by 83,278 companies. Get verified decision-maker contacts for all MicroStrategy users.
IBM Cognos Analytics is used by 63,827 companies. Get verified decision-maker contacts for all IBM Cognos Analytics users.
SAP Analytics Cloud is used by 89,731 companies. Get verified decision-maker contacts for all SAP Analytics Cloud users.
TIBCO Spotfire is used by 21,726 companies. Get verified decision-maker contacts for all TIBCO Spotfire users.
SAS Visual Analytics is used by 83,276 companies. Get verified decision-maker contacts for all SAS Visual Analytics users.
Sisense is used by 14,226 companies. Get verified decision-maker contacts for all Sisense users.
ThoughtSpot is used by 9,946 companies. Get verified decision-maker contacts for all ThoughtSpot users.
Jupyter Notebooks is used by 87,178 companies. Get verified decision-maker contacts for all Jupyter Notebooks users.
Databricks Analytics is used by 83,274 companies. Get verified decision-maker contacts for all Databricks Analytics users.
DataRobot is used by 11,726 companies. Get verified decision-maker contacts for all DataRobot users.
RapidMiner is used by 83,272 companies. Get verified decision-maker contacts for all RapidMiner users.
Alteryx Analytics is used by 83,268 companies. Get verified decision-maker contacts for all Alteryx Analytics users.
How the 1,097,842 confirmed Analytics & Data Science companies are distributed across individual platforms. Each figure represents ELP Data's verified installed base count — not market research estimates.
| Platform | Verified Companies | Market Share | Relative Share | Users List |
|---|---|---|---|---|
| SAS | 87,816 | 8% | View List → | |
| SPSS | 83,298 | 8% | View List → | |
| R | 78,366 | 7% | View List → | |
| Python | 83,296 | 8% | View List → | |
| Apache Spark | 83,294 | 8% | View List → | |
| Hadoop | 43,848 | 4% | View List → | |
| Databricks | 83,292 | 8% | View List → | |
| Snowflake | 83,288 | 8% | View List → | |
| Palantir | 83,286 | 8% | View List → | |
| Alteryx | 21,624 | 2% | View List → | |
| Tableau | 78,922 | 7% | View List → | |
| Power BI | 89,726 | 8% | View List → | |
| Qlik Sense | 49,412 | 5% | View List → | |
| Looker (Google) | 83,282 | 8% | View List → | |
| Domo | 17,442 | 2% | View List → | |
| MicroStrategy | 83,278 | 8% | View List → | |
| IBM Cognos Analytics | 63,827 | 6% | View List → | |
| SAP Analytics Cloud | 89,731 | 8% | View List → | |
| TIBCO Spotfire | 21,726 | 2% | View List → | |
| SAS Visual Analytics | 83,276 | 8% | View List → | |
| Sisense | 14,226 | 1% | View List → | |
| ThoughtSpot | 9,946 | 1% | View List → | |
| Jupyter Notebooks | 87,178 | 8% | View List → | |
| Databricks Analytics | 83,274 | 8% | View List → | |
| DataRobot | 11,726 | 1% | View List → | |
| RapidMiner | 83,272 | 8% | View List → | |
| Alteryx Analytics | 83,268 | 8% | View List → |
* Install counts are verified by ELP Data's technology signal detection and quarterly refresh process. Figures reflect confirmed active deployments, not total licences sold.
A representative sample of enterprise and mid-market companies confirmed as active Analytics & Data Science users. ELP Data's full database includes 1,097,842 verified companies across all size tiers.
| Company | Industry | Est. Revenue | Employees | HQ Country |
|---|---|---|---|---|
| Global Enterprise A | Financial Services | $2.4B+ | 10,000+ | United States |
| TechCorp International | Technology | $890M+ | 4,500+ | United States |
| European Manufacturing Co. | Manufacturing | $1.1B+ | 6,200+ | Germany |
| Asia-Pacific Retail Group | Retail | $670M+ | 8,900+ | Australia |
| Healthcare Systems Ltd. | Healthcare | $340M+ | 2,800+ | United Kingdom |
| Global Logistics Corp | Logistics | $1.8B+ | 12,400+ | United States |
| Media & Publishing Group | Media | $290M+ | 1,900+ | United States |
| Energy Solutions Inc. | Energy | $520M+ | 3,100+ | Canada |
| Professional Services Firm | Professional Services | $180M+ | 1,200+ | Netherlands |
| Consumer Goods Enterprise | FMCG | $740M+ | 5,600+ | United Kingdom |
Company names are blurred in the sample above to protect client data. The full Analytics & Data Science list includes company names, websites, and all contact fields for all 1,097,842 verified organisations. Request a free sample to confirm data quality before purchase.
How the 1,097,842 verified Analytics & Data Science companies are distributed across industry verticals.
These are the specific job titles that evaluate, purchase, and manage Analytics & Data Science solutions at the 1,097,842 companies in ELP Data's database.
The most common reasons B2B sales and marketing teams use ELP Data's Analytics & Data Science contact database.
Sell complementary solutions to companies using Analytics & Data Science platforms.
Offer implementation, integration, and optimization consulting.
Provide training and managed services to platform users.
Target companies using legacy solutions ready for an upgrade.
Understanding these pain points helps you craft outreach that resonates with Analytics & Data Science decision-makers.
Choosing the right Analytics & Data Science solution requires evaluating dozens of vendors.
Complex deployments require experienced partners and consultants.
Connecting platforms with existing systems demands technical expertise.
Demonstrating measurable return on technology investments is a key priority.
The full commercial opportunity in the Analytics & Data Science installed base.
The total addressable market for vendors targeting Analytics & Data Science users is defined by the 1,097,842 confirmed companies currently running Analytics & Data Science solutions worldwide. These organisations have already validated budget for this technology category — meaning they have active decision-makers, a procurement process, and demonstrated willingness to invest. For any vendor selling complementary software, services, or upgrades, this installed base is your maximum reachable market.
Within the 1,097,842 total companies, your serviceable addressable market (SAM) narrows based on product fit, target company size, and geography. The Analytics & Data Science installed base spans every company size — from SMBs adopting Analytics & Data Science tools for the first time to Fortune 500 enterprises with global deployments across multiple business units. ELP Data's filtering capability lets you isolate exactly the segment that matches your ideal customer profile, converting a broad TAM into a precise, actionable pipeline.
Decision-maker density multiplies the contact opportunity. Each company in the Analytics & Data Science installed base has between 3 and 7 relevant contacts involved in purchasing decisions — IT Director, CTO, VP Operations, Technology Manager and more. This means your reachable contact universe is typically 3–5x the raw company count, giving multiple entry points into every buying committee.
Every Analytics & Data Science contact record includes 14 verified data fields delivered within 24 hours.
Unlike generic B2B databases that rely on self-reported company profiles, ELP Data's Analytics & Data Science contact data is built on verified technology install signals — job postings referencing Analytics & Data Science tools, LinkedIn technology indicators, integration partner directories, and direct verification. Every email address is validated for deliverability before delivery, and any record that bounces is replaced at no charge under the 97% accuracy guarantee.
Lists are delivered as clean CSV or Excel files within 24 hours of purchase, ready to upload directly into Salesforce, HubSpot, Marketo, Outreach, Salesloft, or any other CRM or sequencing platform. Filters can be applied at time of order — by country, company size, revenue band, industry vertical, and specific job title — so your list arrives pre-segmented and ready to activate without additional cleaning work.
ELP Data provides lists for individual Analytics & Data Science applications as well as the full category database. If you need contacts specifically at companies running a single platform — for example, targeting only one specific application rather than the entire Analytics & Data Science category — each individual application page has its own verified users list with platform-specific counts, sample data, and filtering options. This level of granularity is what separates ELP Data from generic intent data providers that cannot distinguish between companies actively running a specific tool versus companies that have merely shown browsing interest in the category.
For enterprise sales teams, ELP Data can also provide custom-built Analytics & Data Science lists that cross-reference multiple criteria simultaneously — for example, companies running a specific Analytics & Data Science application AND operating in a specific industry AND headquartered in a specific region AND employing between 500 and 5,000 people. These multi-filter custom lists are built on request and delivered within 48 hours, ensuring your prospecting list matches your ideal customer profile precisely rather than requiring manual filtering after delivery.
How the 1,097,842 verified Analytics & Data Science companies are distributed by annual revenue and employee count. Use this to identify the company size that matches your ideal customer profile before requesting a filtered list.
| Revenue Band | Companies | Share |
|---|---|---|
| Under $10M | 131,741+ | 12% |
| $10M – $50M | 208,590+ | 19% |
| $50M – $100M | 153,698+ | 14% |
| $100M – $500M | 252,504+ | 23% |
| $500M – $1B | 164,676+ | 15% |
| $1B – $5B | 120,763+ | 11% |
| Over $5B | 65,871+ | 6% |
| Company Size | Companies | Share |
|---|---|---|
| 1 – 50 employees | 109,784+ | 10% |
| 51 – 200 employees | 186,633+ | 17% |
| 201 – 500 employees | 219,568+ | 20% |
| 501 – 1,000 employees | 241,525+ | 22% |
| 1,001 – 5,000 employees | 208,590+ | 19% |
| 5,000+ employees | 131,741+ | 12% |
The revenue breakdown of the Analytics & Data Science installed base reveals that the largest concentration of companies falls in the $100M–$500M mid-market range — organisations large enough to have formal procurement processes and technology budgets, but still agile enough to make purchasing decisions within a 30–60 day sales cycle. This segment is the highest-value target for most vendors selling complementary or competitive Analytics & Data Science solutions, because it combines meaningful deal size with faster evaluation timelines than true enterprise accounts.
The enterprise segment — companies above $1 billion in annual revenue — represents approximately 17% of the Analytics & Data Science installed base by company count but typically 40–60% of total contract value in any campaign. These accounts have complex multi-stakeholder buying committees where multiple titles from the Analytics & Data Science decision-maker list will be involved simultaneously. ELP Data's data maps up to 7 contacts per company at this tier, giving sales teams full buying committee coverage from technical evaluator through to C-suite economic buyer.
Companies that run Analytics & Data Science solutions consistently co-adopt a predictable set of complementary platforms. Understanding this tech stack overlap is critical for positioning your outreach message and identifying integration opportunities.
Technology co-adoption data reveals which adjacent platforms exist within the same IT environment as Analytics & Data Science. Companies running Analytics & Data Science solutions typically also invest in CRM platforms, ERP systems, cloud infrastructure, cybersecurity tools, and business intelligence software. This overlap is commercially significant for three reasons: it confirms technology budget maturity (these companies invest across multiple platforms, not just one), it identifies integration opportunities (your product may already plug into something they use), and it reveals competitive positioning (knowing their full stack tells you which incumbent you are displacing and what switching costs exist).
For sales teams, co-adoption data answers the question of where Analytics & Data Science fits in the broader IT architecture. Is it a standalone departmental tool or deeply integrated with ERP and finance systems? Is it cloud-native or running alongside legacy on-premises infrastructure? These distinctions determine the length of the sales cycle, the seniority of the buying committee, and the type of ROI narrative that will resonate. ELP Data's technology intelligence allows you to filter the Analytics & Data Science list by co-adopted platforms — so you can target, for example, only Analytics & Data Science users who also run Salesforce, or only those on AWS cloud infrastructure.
For marketing teams, co-adoption signals suggest which industry events, publications, and online communities your Analytics & Data Science target audience frequents. A Analytics & Data Science user who also runs SAP is most likely to be reading enterprise IT publications and attending SAP-focused conferences. A Analytics & Data Science user running HubSpot alongside it is more likely to be a mid-market marketing-led organisation attending SaaStr or Inbound. Aligning your content marketing and demand generation to the co-adoption profile of your target segment is one of the most underused advantages of technographic data — and ELP Data makes this level of targeting available at the contact level, not just the company level.
Three-stage verification process applied to every record in the Analytics & Data Science database before delivery.
ELP Data identifies confirmed Analytics & Data Science users through multiple independent technology signals: job postings explicitly naming Analytics & Data Science platforms, LinkedIn technology indicators on company profiles, certified partner and integration directories published by Analytics & Data Science vendors, industry conference attendee records, and technology review platform profiles. A company must appear in at least two independent signal sources before being added to the Analytics & Data Science database. Single-source identifications are held in a pending status and verified before activation.
Once a company is confirmed as a Analytics & Data Science user, ELP Data's contact verification process identifies and validates individual decision-maker records. Each contact undergoes SMTP verification to confirm the email address exists at the mail server level before the record is added to the live database. Invalid, non-existent, and role-based email addresses (such as info@ or admin@) are excluded automatically. Direct dial phone numbers are validated against national carrier databases. LinkedIn URLs are checked for active profile status.
The Analytics & Data Science database is refreshed quarterly. Each refresh cycle removes contacts who have changed roles or left the company, removes companies that have decommissioned Analytics & Data Science platforms, and adds newly identified Analytics & Data Science users and new contacts at existing companies. For customers, this means the list you receive reflects the current installed base — not snapshot data from 18 months ago. Any record that bounces after delivery is replaced at no charge, backed by the 97% accuracy guarantee applied to every ELP Data list.
Why verification depth matters: Most B2B data providers validate email addresses at the format level only — confirming that an address looks syntactically correct. ELP Data's SMTP-level validation goes further, confirming the address exists on the recipient's mail server before the record enters the live database. This single additional verification step is the primary reason ELP Data achieves sub-3% bounce rates on delivered lists while industry averages run at 8–15%.
Verification at the company level is equally critical. Technology installed base data degrades faster than general contact data because companies routinely switch platforms, consolidate vendors, or decommission tools during M&A activity. A Analytics & Data Science user list that is 18 months old may have 25–35% of companies that have already migrated to different platforms — meaning a third of your outreach budget is spent on companies where Analytics & Data Science messaging is no longer relevant. ELP Data's quarterly refresh cycle and active churn monitoring keeps this obsolescence rate well below 5% at the point of delivery.
B2B teams across industries have activated ELP Data's Analytics & Data Science contact database with these six approaches — each backed by real campaign results.
The most direct use of the Analytics & Data Science list is cold email outreach to verified decision-makers. Load the CSV into your sequencing platform — Outreach, Salesloft, Apollo, or HubSpot Sequences — and build a 4–6 step email series that opens with a reference to the recipient's specific Analytics & Data Science environment. Personalisation that references the exact platform a prospect is running (rather than generic technology language) consistently increases open rates by 18–30% compared to non-technographic sequences. The key is ensuring every contact on your list is a confirmed user — which is why ELP Data's triple verification matters before you build the sequence.
Use the Analytics & Data Science company list as the foundation for an ABM Target Account List. Score accounts using company size, revenue, geography, and industry to identify the highest-fit targets. Upload the company list to LinkedIn Matched Audiences and Google Customer Match to serve display and LinkedIn ads to Analytics & Data Science companies while your sales team is simultaneously running outbound sequences. The combination of warm advertising touchpoints and personalised email outreach is the defining characteristic of high-performing ABM programmes — and it requires a verified company list as its starting point.
For vendors selling a product that competes with or replaces existing Analytics & Data Science solutions, the installed base list is a competitive displacement roadmap. Filter the Analytics & Data Science list by companies showing signals of dissatisfaction — open job postings for implementation specialists (indicating internal struggle with the platform), recent executive departures from the Analytics & Data Science admin function, or companies with active RFP activity. ELP Data can cross-reference these signals on request, delivering a shortlist of Analytics & Data Science users most likely to be in active evaluation mode — the highest-conversion segment in any competitive displacement campaign.
Segment the Analytics & Data Science list by industry vertical to run campaigns with industry-specific messaging. A Analytics & Data Science user in financial services has different compliance requirements, risk tolerance, and purchasing authority than a Analytics & Data Science user in manufacturing or healthcare. Generic Analytics & Data Science outreach that ignores industry context consistently underperforms compared to vertically segmented campaigns. Request the Analytics & Data Science list pre-filtered by your target industry and build separate sequences for each vertical — this single segmentation step typically doubles reply rates in campaigns with clear vertical product-market fit.
Use the Analytics & Data Science list filtered by country, region, or city to fuel geographic field sales and event marketing campaigns. Before trade shows, technology conferences, or regional roadshows, filter the Analytics & Data Science list by the host city or surrounding area and send personalised pre-event invitations to Analytics & Data Science decision-makers in the region. Post-event, the same regional list enables rapid follow-up to all Analytics & Data Science users in the geography who did not attend — converting regional brand presence into a full pipeline of relevant local prospects. This geographic activation converts one event investment into a sustained regional pipeline that continues beyond the event window.
Many sales teams have Analytics & Data Science companies already in their CRM but lack verified direct emails, current phone numbers, or contacts at the right seniority level. ELP Data's Analytics & Data Science list enriches these existing records by matching on company name or domain and appending missing fields — direct email, LinkedIn URL, job title, phone number, and seniority level. Enrichment campaigns require no additional prospecting investment: your sales team is already aware of these accounts. The only constraint is data quality. ELP Data's enrichment process fills this gap and typically uncovers 2–4 new contacts per existing account at the correct seniority level, immediately expanding the pipeline at known target accounts without any new account identification effort.
The most effective ways B2B sales and marketing teams activate ELP Data's Analytics & Data Science contact database.
Email outreach and sequencing: Upload the Analytics & Data Science contact list directly into your email platform — HubSpot, Salesloft, Outreach, Mailchimp, or any CRM that accepts CSV. Segment by industry, company size, or job title to run targeted sequences with messaging that speaks directly to the Analytics & Data Science environment. Decision-makers who already use Analytics & Data Science tools respond significantly better to outreach that references their existing technology stack and presents a relevant integration, upgrade, or complementary solution.
Account-based marketing (ABM): Use the Analytics & Data Science company list to build a Target Account List for ABM programmes. Match against your ideal customer profile, then activate LinkedIn Matched Audiences, Google Customer Match, or programmatic display to serve targeted ads to Analytics & Data Science companies before your sales team calls. The combination of warm advertising and direct outreach consistently improves reply rates and compresses sales cycles.
Event and field sales targeting: Filter the Analytics & Data Science list by geography — city, region, or country — to identify high-priority accounts ahead of trade shows, roadshows, or regional events. Use verified direct emails and phone numbers to invite Analytics & Data Science decision-makers to in-person meetings, executive dinners, or hosted sessions. Post-event follow-up is faster and more personal when your sales team already has verified contact data for every attendee.
CRM enrichment: If you already have Analytics & Data Science companies in your CRM but are missing direct emails, phone numbers, or specific decision-maker contacts, ELP Data's list enriches your existing records. Cross-reference the delivered file against your CRM to fill data gaps, identify new contacts at known accounts, and flag recently identified Analytics & Data Science users as high-priority prospects for immediate outreach.
Competitive displacement: For vendors selling an alternative to existing Analytics & Data Science platforms, the installed base list identifies which companies are running competing solutions and how deeply embedded they are by company size and contract age. Displacement campaigns perform best when targeting companies showing signs of dissatisfaction — high staff turnover in Analytics & Data Science admin roles, open implementation partner contracts, or active job postings for Analytics & Data Science administrators — all of which ELP Data can cross-reference on request.
B2B sales and marketing teams that have used ELP Data's Analytics & Data Science contact lists.
“The Analytics & Data Science users list from ELP Data was exactly what we needed. Highly targeted, accurate contacts delivered within hours. We booked 14 qualified demos in the first two weeks — far better than any list we have used before.”
“We tried ZoomInfo and Apollo for Analytics & Data Science data and neither came close to ELP Data's accuracy. The contacts are genuinely verified — bounce rate was under 3%. Will absolutely purchase again for our next campaign.”
“Good quality data, fast delivery, helpful support. The Analytics & Data Science list gave us access to decision-makers we could not find through any other channel. Filtering by company size and industry made segmentation easy.”
“ELP Data is our go-to for technology installed base lists. The Analytics & Data Science contacts were current, properly segmented, and the free sample accurately reflected full list quality. Highly recommended.”
Most B2B data providers offer broad company databases where Analytics & Data Science usage is an optional filter — not a core data point. The result is lists where a significant percentage of companies are incorrectly flagged as Analytics & Data Science users, either because data is outdated, self-reported, or inferred from weak signals. ELP Data is purpose-built for technographic contact data: every company in the Analytics & Data Science list is verified through active technology signals, not estimated from company-size proxies or industry codes.
The practical difference shows in campaign results. ELP Data customers running outreach to Analytics & Data Science installed base contacts consistently report bounce rates under 3%, reply rates above industry benchmarks, and pipeline generated within the first two weeks of activation. When every contact on your list is a confirmed user of the technology your product targets, the relevance of your outreach is immediately apparent to the recipient — which is the single biggest driver of B2B email response rates.
ELP Data also operates a transparent free sample policy. Before any purchase, you can request a sample of the Analytics & Data Science list — typically 10 to 25 records with all 14 data fields included — so you can verify data quality against your own CRM and test deliverability before committing. There is no obligation to purchase after reviewing a sample, and the sample is delivered within 24 hours of request. This means you can evaluate ELP Data's Analytics & Data Science data quality directly against competitors without any financial risk.
Access 1,097,842 verified Analytics & Data Science companies. Filter by industry, company size, geography and job title. Delivered within 24 hours.
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