Though the predictive analytics market in Latin America is still at a nascent stage, it is expected to grow significantly during the forecast period. Countries such as Brazil, Colombia, Argentina, Chile, and Peru have good market opportunities. Many countries are struggling in this market due to the lack of advanced technologies and budget constraints. Companies in this region are planning to invest heavily in cost-effective analytics solutions and services. This would help predictive analytics providers to create revenue increasing opportunities for themselves. With organizations in this region planning to invest heavily in cost-effective analytics solutions, the predictive analytics market has a huge scope for development. This has opened opportunities for North American companies to expand their presence in this region. Brazil, Mexico, and Chile are the countries, where the penetration of solutions is high, in comparison to the other countries of the region. In Brazil, the increasing income levels, particularly among the younger population, demonstrate the growing socio-economic strata of the people in the country. Brazil is among the countries that have an enormous dependence on the manufacturing sector and is witnessing the increasing internet adoption as well. With organizations in Latin America planning to invest heavily in cost-effective analytics solutions and services, the predictive analytics market has a huge scope for development. However, the lack of skilled workforce to support technologies is expected to hinder the market growth to some extent.

Last updated on: Nov 13, 2019

Predictive Analytics Software Quadrant

Comparing 169 vendors in Predictive Analytics Software across 193 criteria.

Find the best Predictive Analytics Software solution for your business, using ratings and reviews from buyers, analysts, vendors and industry experts


Below criteria are most commonly used for comparing Predictive Analytics Software tools.
  • Product Quality and Reliability
    • Support for Custom Data Connectors
    • Custom Scripting Language
    • Deployment Type
      • Cloud
      • On-Premises
      • Hybrid (Deployment type)
    • Target Users
      • Database Administrators
      • Business Analysts
      • Data Scientists
      • Non Technical Users
      • Consultants
      • Application Developers
    • Support for Languages
      • Support for R
      • Java
      • Python
      • Scala
      • Lua
      • Ruby
      • Bash
      • Matlab
    • Delivery Mode
      • APIs
      • Separate Platform
      • As a Service / Connector Free
    • Add-on Funtionalities
      • Machine Learning / AI
      • Self-Service
      • Streaming / Real-Time
      • Mobile Support / Mobile BI
      • In-Memory
  • Product Features and Functionality
    • Integration with Big Data Frameworks / Data Stores
      • Hadoop
      • Kafka
      • Apache Spark
      • Steam
      • Hive
    • Enterprise Features
      • Analytics Workflow
      • Shared Data Sources
      • Server Side Data Processing
      • Cloud Hosted Data
      • Auto-scaling
    • Licensing
      • Licensing - Data Volume
    • Costs & Units
      • Cost - $ per license
      • Hybrid (Please specify)
    • Core Features
      • Visual Analytics Design / Code Free
      • Data Investigation
      • Statistical Modelling
      • Times Series Exploration
      • Root Cause Analysis
      • Advanced Condition Prediction
      • Predictive Grouping
      • No. of Third Party Data Providers
      • Natural Language Processing (NLP)
      • Event Detection
  • Breadth and Depth of Product Offering
    • Data Management
      • Data Preparation (Data Management)
      • Interactive Visualisation
      • Real Time Dashboarding
      • Static Visualisation
      • Report Generation
      • Data Blending
      • Report Automation
    • Data Collections
      • Customer Data
      • Transaction Data
      • Geo Spatial
      • Demographic
      • Location [Pincodes]
      • Firmographic
      • Marketing Data
    • Use Cases
      • Business Intelligence
      • Data Visualisation
      • Customer Response Modelling
      • Demand Forecasting
      • Data Preparation
      • Operations Management
      • Fraud Detection & Prevention
      • Pricing Elasticity Analysis
      • Location Intelligence
      • Risk Management
      • Customer Data Platform
      • Sales and Marketing Management
      • Network Management
      • Workforce Management
      • Supply Chain Management
      • Web and Social Media Management
      • Financial Management
      • Root Cause Analysis (Use case)
      • Predictive Maintenance and Asset Management
      • Event Detection (Use case)
    • Services Offered
      • Support and Maintenance
      • Custom Predictive Algorithms
      • Training
      • Implementation
      • Requirement Definition
      • Managed Services
      • Diagnostics
      • Report Authoring
      • Certification
      • Consulting


  • 1

    SPSS Modeler reduces the complexities involved in the transformation of data by providing easy-to-use models. SPSS Modeler is extensively used across various languages to analyze data from multiple databases. It majorly helps in analyzing data to predict customer churn rates and data sets. The application can be used across various industry verticles.

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    • Enterprise
    • New York, USA
    • Founded: 1911
    • $50BN to $100BN
    • 1,00,001 to 5,00,000
  • 2

    Rapid Miner Studio enables users to create complex predictive models by using a drag and drop visual interface. It has a library of 1500+ machine learning algorithms and functions that can be used to build models specific to any situation. It also offers templates for common cases such as prediction of customer churn, fraud detection, predictive maintenance, etc. It provides proactive recommendations at each step for guidance. Rapidminerhelps increase productivity across teams.

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    • Startup
    • Massachusetts, US
    • Founded: 2006
    • $11MN to $50MN
    • 51 to 100
  • 3

    SAP Predictive Analytics software enables users to create, deploy and maintain various predictive models. These on-premise tools can help users anticipate future behavior and outcomes and better guide the decision-making ability to help grow the business. SAP Predictive Analytics Cloud works alongside the BI and planning tools to visualize, plan and predict context. The tool uses in-memory technology and machine learning to uncover relevant predictive insights in real-time.

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    • Enterprise
    • Weinheim, Germany
    • Founded: 1972
    • $10BN to $50BN
    • 75,001 to 1,00,000
  • 4

    ORACLE Analytics Cloud’s Database Platform allows the use of seamless predictive analytics software within the platform, giving it an edge over other vendors. ORACLE Analytics Cloud helps mine various data types, eradicate movement of data, and deliver actionable insights. Application developers deploy this analytics model along with SQL and R functions. ORACLE Analytics Cloud helps predict the behavior of customers, the gap between the demand and supply, and make better marketing strategies.

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    • Enterprise
    • California, USA
    • Founded: 1977
    • $10BN to $50BN
    • 1,00,001 to 5,00,000
  • 5

    SAS Advanced Analytics provides users with better response time and faster insights provided by its in-memory analytics. SAS Advanced Analytics software helps organize data in a structured manner, making it easy to understand and present. It enables the user to analyze past, present, and future models using quality-tested algorithms. Automation of large-scale forecasts is also possible without the need for high levels of technical knowledge.

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    • Enterprise
    • North Carolina, USA
    • Founded: 1976
    • $1BN to $5BN
    • 10,001 to 15,000
  • 6

    Use the full potential of information to unleash the capability of the human resources of an organization.

    • Enterprise
    • California, USA
    • Founded: 2003
    • $1BN to $5BN
    • 1,001 to 5,000
  • 7

    GoodData is a cloud-based platform with high SLA availability and maintenance. It allows for easy incorporation of already existing data warehouses. It allows the platform to be integrated into web or mobile applications. It is one of the most dominant cloud data warehouse that meets most versatile analytics platform requirements.

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    • Startup
    • California, USA
    • Founded: 2007
    • $51MN to $100MN
    • 101 to 500
  • 8

    Extensive set of cloud services that enables associations to address business problems, construct, oversee, and convey applications on a massive, worldwide system utilizing various tools and frameworks. Microsoft Azure ML Studio can be used to prepare and manage the data they need for machine learning. It can improve productivity through its powerful capabilities that can integrate the current model cycle with that of the app lifecycle.

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    • Enterprise
    • Washington, USA
    • Founded: 1975
    • More than $100 BN
    • 1,00,001 to 5,00,000
  • 9

    NTT Data offers effective solutions that supplement the decision-making process in an organization. This is possible across multiple business platforms and across different development and deployment capabilities. With the help of a comprehensive analytics and business insight methodology, NTT Analytics Solutions can change a client organization into an information-driven pioneer.

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    • Enterprise
    • 1,00,001 to 5,00,000
  • 10

    Teradata predictive analytics software provides “Flip the Switch” analytics which allows on-the-fly switching of best campaign users from reverse modeling to forward prediction. Teradata Analytics for Enterprise Applications eradicates the complexity of enterprise application integration, delivers real-time access to integrated data from ERP and other enterprise applications, as well as provides transparency and visibility into business and customer insights.

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    • Enterprise
    • California, USA
    • Founded: 1979
    • $1BN to $5BN
    • 10,001 to 15,000
  • 11

    Qlik helps enterprises around the globe move quicker, work smarter, and provide a start-to-finish answer to get an incentive out of information. QlikView helps users compare different sets of data from multiple sources and locations to deliver the most value. Its main features include, interactive participation in session-sharing is possible across different groups which enables users to share their insights formally or informally. It is also possible to access and load data from different locations and from different deployment modes – cloud, on-premise, or big data sources.

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    • Enterprise
    • Pennsylvania, USA
    • Founded: 1993
    • $500MN to $1BN
    • 1,001 to 5,000


Looking for Predictive Analytics Software? Get help
Global Head - Service and Product Development,Company Name Classified
Global Head - Service and Product Development, Company Name Classified
#3 in Predictive Analytics Software 6 Reviews

“Worth the price"

(*)(*)(*)(*)( )4
This software has a good visual interface. Connectivity with different database seems good, so far. I have not tried the integration part, but there should not be any problem about that as well. Overall it seems like a good investment for organization predictive analytics need.
Other,Company Name Classified
Other, Company Name Classified
#2 in Predictive Analytics Software 6 Reviews

“Navigate through Journey of Hypotheses"

(*)(*)(*)(*)( )4
Granted, companies are looking for vertical solutions aiming directly at their specific applications while RapidMiner, albeit powerful, is a platform. In addition to current communication by RapidMiner and the enthusiastic community, efforts must be spent by both sides, the customers and the solution providers like us, to practice, solve problems, and build up confidence so that gaps can be bridged.
General Manager,Company Name Classified
General Manager, Company Name Classified
#1 in Predictive Analytics Software 7 Reviews

“Decision making made easier with this data analysis program."

(*)(*)(*)(*)( )4

The software’s ability to organize and use variable for tool application is what works best for me. Evaluation of the behavior of dependent and independent variables for linear regression analysis makes it easy to compile reports, further enabling easier decision making. It is also extremely user-friendly, with each icon distinctly visible. If I had to pick an area of improvement, I would say it is the quality of its graphics. They do not seem very professional and perhaps they can be updated to seem so.

I believe that this is an ideal software for organizations lookimg to systemize its data and work using dependent as well as independent variables. It works excellently to present inferential statistics to help organizations grow. However, if you’re looking for exceptional graphics, then this might not be the one for you.

General Manager,Company Name Classified
General Manager, Company Name Classified
#2 in Predictive Analytics Software 6 Reviews

“Good Graphics"

(*)(*)(*)(*)( )4
Comfortable, intuitive working environment, with help during the development of the process. Good graphics, and options to visualize the result of the process
Other,Company Name Classified
Other, Company Name Classified
#3 in Predictive Analytics Software 6 Reviews

“Data Science Capabilities Without The Investment In Data Scientists"

SAP is the only vendor that I work with that is truly partnering with me year-round. We discuss use cases and how to best leverage the SAP product to address these use cases. The ease of use. Little data preparation is required. My team are subject-matter experts in sales data. The ability to quickly (same day) turn around a model and assess the viability of the model is unmatched by any other tools and has positioned my team of non-data-scientists as data science thought leaders! The visualizations have not kept up with the industry. While the output is very understandable, we still download the output to excel or Tableau. Our understanding is that SAP Analytics Cloud will be the platform we will need to eventually migrate to, and its visualization capabilities are excellent. My team was not involved directly with the purchase. Sales operations volunteered to participate in the evaluation and we gave IT a solid I like it for the following: • Drive innovation • Enhance decision making • Drive revenue growth • Create internal/operational efficiencies I like it since it provides direct access to specialists and engineers. At SAP Sapphire customer show, we have always been able to meet with the product development leadership and provide input into product direction as well as understand the roadmap.

Marie Stelle

Engagement Partner -