Reach companies using
predictive analytics software
Verified predictive analytics contacts for companies using SAS Analytics, IBM SPSS, DataRobot, Alteryx, RapidMiner, predictive modelling, forecasting, data science and machine learning analytics platforms.
- Verified predictive analytics contacts
- SAS, IBM SPSS and DataRobot users
- Data scientist and analytics buyer roles
- Free 100-record sample list
Request Your Predictive Analytics List
100 verified predictive analytics contacts. Delivered in 24 hours.
What Is Predictive Analytics Software Data?
Predictive analytics software data is a technographic database of companies using platforms to analyse historical data, build predictive models, forecast outcomes, score risk and support machine learning-driven business workflows. The dataset helps you identify organisations using SAS Analytics, IBM SPSS, DataRobot, Alteryx, RapidMiner and related statistical modelling or machine learning analytics tools.
- 30+ CRM platforms covered
- 95% deliverability guaranteed
- Direct dials & verified emails
- Refreshed every 90 days
- GDPR & CCPA compliant
- Ready-to-import CSV / CRM
- Module-level segmentation
- Free replacement guarantee
- Verified predictive analytics software data
- SAS, IBM SPSS, DataRobot & Alteryx contacts
- ML modelling & forecasting platform data
- Decision-maker contacts included
- GDPR & CCPA-conscious B2B data
- Ready-to-import CSV / CRM
- Platform-level technographic segmentation
- Free replacement guarantee
What information is included in the dataset?
Each record in our machine learning analytics platform users list is structured for sales, marketing, CRM, ABM, analytics consulting outreach and market research workflows.
Contact Name
Job Title and Seniority
Verified Business Email
Phone
Company Name and Website Domain
LinkedIn Profile URL
Industry and Business Sector
Revenue and Employee Size
City, State, Country and Region
Platform Used and Analytics Category
Built for AI, analytics and data growth teams
If your buyers use predictive analytics, data science, forecasting or machine learning analytics platforms, this dataset gives your team sharper campaign targeting.
- AI and machine learning vendors
- Analytics consultants and advisory firms
- MLOps and AI governance providers
- Data engineering firms
- Cloud data and BI platforms
- SaaS sales and analytics platform teams
- ABM and demand generation teams
- Market research and territory planning teams
15+ predictive analytics platforms. One database.
Filter by predictive analytics software, machine learning platform, region or company size and pull a clean list in minutes.
| Predictive Analytics Platform | Verified Contacts | Companies | Coverage | Action |
|---|---|---|---|---|
AMMicrosoft Azure Machine LearningPredictive #01 | 33.6k | 6.7k | Global | Get sample → |
ASAmazon SageMakerPredictive #02 | 43.7k | 8.7k | Global | Get sample → |
GVGoogle Vertex AIPredictive #03 | 12k | 2.4k | Global | Get sample → |
SVSAS ViyaPredictive #04 | 5.4k | 1.1k | Global | Get sample → |
SMIBM SPSS ModelerPredictive #05 | 2.9k | 575 | Global | Get sample → |
ALAlteryxPredictive #06 | 31.2k | 6.2k | Global | Get sample → |
DRDataRobotPredictive #07 | 3k | 592 | Global | Get sample → |
DIDataikuPredictive #08 | 6k | 1.2k | Global | Get sample → |
DBDatabricks ML + LakehousePredictive #09 | 97.4k | 19.5k | Global | Get sample → |
HOH2O.aiPredictive #10 | 2.5k | 509 | Global | Get sample → |
SCSAP Analytics CloudPredictive #11 | 15k | 3k | Global | Get sample → |
OCOracle Analytics CloudPredictive #12 | 27.2k | 5.4k | Global | Get sample → |
AIAltair AI Studio RapidMinerPredictive #13 | 1.6k | 329 | Global | Get sample → |
TPTableau Predictive + ML FeaturesPredictive #14 | 130k | 26k | Global | Get sample → |
TSThoughtSpotPredictive #15 | 4k | 799 | Global | Get sample → |
Questions, answered honestly
Still curious? Our team replies within 4 business hours.
Talk to an expertFind predictive analytics data the way you sell
Switch between tabs to segment companies by analytics platform, machine learning workflow, industry, geography, company size, buyer role or campaign intent.
Ready to fill your pipeline with
predictive analytics software buyers?
Get a free 100-record sample of our predictive analytics software database. No card. No commitment. Delivered within 24 hours.
Best Fit Use Cases for Predictive Analytics Software Data
A practical guide for B2B teams that need platform-specific predictive analytics, data science, machine learning, AI governance and advanced analytics targeting data.
Best fit use cases for predictive analytics data
This dataset is best suited for B2B teams that need platform-specific predictive analytics, data science and machine learning targeting. It helps sales, marketing, ABM and analytics outreach teams reach companies using predictive modelling software, statistical analytics tools, forecasting platforms and advanced analytics environments.
It is especially useful for predictive analytics software lead generation, SAS customers database targeting, companies using SAS analytics outreach, IBM SPSS users list campaigns, DataRobot customers database targeting, Alteryx users contact list outreach and RapidMiner customers database campaigns.
Teams can also use this data for data scientists email list B2B targeting, Chief Analytics Officer contact database outreach, machine learning analytics platform users list enrichment, companies using predictive modeling software targeting, MLOps and AI governance campaigns, analytics migration and modernisation campaigns, data engineering and AI-readiness outreach, partner recruitment, market research and territory planning.
How to use predictive analytics software data
Start by selecting your predictive analytics platform. Choose whether you want to target companies using SAS Analytics, IBM SPSS, DataRobot, Alteryx, RapidMiner, KNIME, H2O.ai, TIBCO Data Science or related predictive analytics platforms.
Next, select the analytics workflow you want to target, such as predictive modelling, statistical analytics, machine learning analytics, forecasting, risk scoring, fraud modelling, customer analytics, data preparation, data science automation or AI governance. Then define buyer roles such as Data Scientist, Chief Analytics Officer, Chief Data Officer, Analytics Manager, Data Science Manager, Machine Learning Engineer, BI Manager or Head of Data.
Finally, apply company filters by industry, employee size, revenue range, geography and company type. Use the final dataset for cold email, calling, LinkedIn outreach, ABM campaigns, partner recruitment, CRM enrichment, predictive analytics campaigns or market research.
Select your analytics platform
Choose the predictive analytics platform that matches your campaign goal, including SAS Analytics, IBM SPSS, DataRobot, Alteryx, RapidMiner, KNIME, H2O.ai, TIBCO Data Science or related advanced analytics software users.
Filter by workflow and buyer role
Narrow your list by analytics workflow such as predictive modelling, statistical analytics, machine learning analytics, forecasting, risk scoring, fraud modelling, customer analytics, data preparation, data science automation or AI governance, then select Data Scientists, Chief Analytics Officers, Chief Data Officers, Analytics Managers, Machine Learning Engineers and BI leaders.
Build and launch targeted outreach
Segment predictive analytics software data by industry, employee size, revenue range, geography and company type, then use the final dataset for cold email, calling, LinkedIn outreach, ABM campaigns, partner recruitment, CRM enrichment, predictive analytics campaigns and market research.
Why Predictive Analytics Platform Data Matters
Predictive analytics buyers are not general data contacts. They are connected to business forecasting, data science, machine learning, statistical modelling, customer intelligence, risk analytics, operational optimisation and AI readiness.
A company using SAS Analytics may be focused on statistical modelling, enterprise analytics, risk analytics, forecasting, fraud analytics or industry-specific decisioning workflows.
A company using IBM SPSS may be managing statistical analysis, research analytics, survey data, predictive modelling and behavioural insights.
A company using DataRobot may be focused on AI model development, automated machine learning, model deployment, governance and predictive decisioning.
A company using Alteryx may be using analytics automation, data preparation, workflow automation and self-service analytics.
A company using RapidMiner may be focused on machine learning workflows, predictive modelling, data mining and analytics process automation.
Platform context helps your team align messaging with modelling environments, data science workflows, AI maturity, forecasting needs, model governance requirements, data preparation gaps and machine learning adoption roadmaps.
