Predictive Analytics Software

All Products

(1-25 of 173)

1
IBM SPSS Statistics

SPSS Statistics is a software package used for statistical analysis. It is now officially named "IBM SPSS Statistics". Companion products in the same family are used for survey authoring and deployment (IBM SPSS Data Collection), data mining (IBM SPSS Modeler), text analytics, and…

2
KNIME Analytics Platform

KNIME enables users to analyze, upskill, and scale data science without any coding. The platform that lets users blend, transform, model and visualize data, deploy and monitor analytical models, and share insights organization-wide with data apps and services.

3
DataRobot

The DataRobot AI Platform is presented as a solution that accelerates and democratizes data science by automating the end-to-end journey…

5
SAP Analytics Cloud

The SAP Analytics Cloud solution brings together analytics and planning with integration to SAP applications and access to heterogenous data sources. As the analytics and planning solution within SAP Business Technology Platform, SAP Analytics Cloud supports trusted insights and…

6
G2M Platform

The G2M Platform (formerly Analyzr) is a software-as-a-service offering by G2M Insights focused on making machine learning analytics simple and secure for midmarket and enterprise cust…

7
Posit

Posit, formerly RStudio, is a modular data science platform, combining open source and commercial products.

8
MATLAB

MatLab is a predictive analytics and computing platform based on a proprietary programming language. MatLab is used across industry and academia.

9
Qlik Sense

Qlik Sense® is a self-service BI platform for data discovery and visualization. It supports a full range of analytics use cases—data governance, pixel-perfect reporting, and collaboration. Its Associative Engine indexes and connects relationships between data points for creating…

10
DAVinCI LABS
0 reviews

DAVinCI LABS is an artificial intelligence based predictive analytics software that discovers patterns within enterprise data with machine learning algorithms. The findings will be converte…

11
JMP Statistical Discovery Software from SAS

JMP is a division of SAS and the JMP family of products provide statistical discovery tools linked to dynamic data visualizations.

12
MicroStrategy Analytics

MicroStrategy Analytics is an enterprise business analytics and mobility platform. Key features include automatic big data analysis and reporting, data discovery and visualization, digital security credentials, and support for mobile devices.

13
Megaladata
0 reviews

Megaladata is a low code platform for data analysis designed to make advanced analytics accessible.

  • Visual design of complex data analysis models with no involvement of the IT department and no need for programming.
  • Over 60 ready-to-use processing components.
  • Integration with var…

16
RapidMiner

RapidMiner is a data science and data mining platform, from Altair since the late 2022 acquisition. RapidMiner offers full automation for non-coding domain experts, an integrated JupyterLab environment for seasoned data scientists, and a visual drag-and-drop designer. RapidMiner’…

17
IBM SPSS Modeler

IBM SPSS Modeler is a visual data science and machine learning (ML) solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists. Organizations can use it for data preparation and discovery, predictive analytics, model management…

18
JarviX

Synergies is a cognitive application service provider that combines business knowledge, artificial intelligence technology, and software development.

Their mission is to help businesses through their digital transformation journey, become leader…

19
FlowJo
0 reviews

A flow cytometry data analysis tool, where cytometry is a technique which allows the simultaneous measurement of many characteristics of individual cells at several thousand cells per second, and the work revolves around the science of single cells. FlowJo is an analysis tool for…

20
JMP Pro

JMP Pro offers all the capabilities of JMP, plus advanced features for more sophisticated analysis including predictive modeling and cross-validation techniques.

21
Logi Info (Logi Analytics Platform)

Logi Info (or the Logi Analytics Platform) is a developer-grade analytics platform designed for application teams needing to rapidly build, deploy, and maintain mission-critical applications. Logi serves the embedded model, so companies increase the likelihood of building valuable, long lasting applications. The vendor focuses on enr…

22
Mode Analytics

Mode, or Mode Analytics, from ThoughtSpot since the June 2023 acquisition, is a business intelligence platform that unifies company analytics by bringing data teams and business teams together, so analysts can provide rapid answers to strategic, ad hoc questions. And, business stakeholder…

25
Hyllo
0 reviews

Predictive Analytics Software TrustMap

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Learn More About Predictive Analytics Software

What are Predictive Analytics Tools?

Predictive Analytics tools are used to analyze current data and historical facts in order to better understand customers, products, and partners. They are also used to identify potential risks and opportunities. Predictive analytics platforms tend to be very complex products and require advanced skill sets in order to use them effectively.

In the hands of skilled data analysts and data scientists, predictive analytics can be an extremely powerful tool. It can, for example, calculate customer lifetime value for a given customer; estimate sales projections for the next quarter, or predict what product an online shopper is likely to purchase next.

Predictive analytics tools make these analyses much easier and more accessible for organizations. They make leveraging disparate data sources into single analyses a lighter manual load. Predictive analytics platforms can standardize or even automate some repeated analyses. Intelligent analytics engines can also make new or ad hoc analysis more accessible for technical and business analysts alike. These tools lower the barrier to entry for many non-specialized users, although this is not universal across all analytics platforms.

What is Predictive Analytics?

Predictive analytics explore, process, and aggregate historical data, then apply various predictive modelling techniques to determine potential future outcomes. Predictive analytics help users and organizations better understand what is likely to happen in the future, based on what has occurred in the past.


Predictive analytics is one of the more advanced forms of business analytics. It fits within this range of analysis types available to organizations:


  • Descriptive analytics: provides a real-time view of what is occurring right now. Current stock prices are one example of descriptive analytics.

  • Diagnostic analytics: These analyses help explain why or how something occurred or is currently happening.

  • Predictive analytics: These analytics use descriptive or diagnostic data to determine future outcomes.

  • Prescriptive analytics: These help guide what should be done to create a given outcome.


Predictive analytics can often overlap or evolve into prescriptive analytics. The functional difference is how the analytics tool is utilized or deployed. Predictive analytics can also be used prescriptively to inform other business decisions, either via standardized reporting or ad hoc strategic assessments.

The Importance of Good Data

The basis for good predictive outcomes is good data. For example, to make predictions about what customers are likely to buy in the future, it's essential to have detailed data on what they have bought in the past, attributes of purchased products, etc.

Provided there is adequate high-quality data, predictive models are created using techniques like regression testing, decision trees or other methodologies to measure degree of correlation between variables to help predict future behavior. Predictive analytics tools will often leverage big data to make more informed and accurate predictions and assessments that are beyond the scope of manual analyses.

Predictive Analytics vs. Business Intelligence

Predictive Analytics tools are strongly related to Business Intelligence, and they are sometimes considered as part of the BI universe. The distinction between BI and predictive analytics is that BI is usually considered descriptive, i.e. looking at what happened in the past. Predictive analytics is about finding hidden patterns in data using complex mathematical models to predict future outcomes.

The emergence of big data platforms like Hadoop and very fast in-memory analytics products has resulted in some blurring of the lines between big data and predictive analytics.

Predictive Analytics Software Comparison

Consider these factors when comparing predictive analytics tools:


  • User Base: Who will primarily be using the predictive analytics tool? Will it be business users or technical specialists, such as data scientists? The main user base will impact the necessary accessibility/ease of use for each product, as business users will likely need less technical methods of interacting with the analyses.

  • Integration: What data sources should the product be able to pull from? Where and how will analyses be used, or what other systems should the product send data to? Consider what existing tools the organization uses, then cross-reference that with what the product can demonstrably integrate with.

  • Pricing: Predictive analytics pricing can range from open-source options to tailored enterprise platforms that are thousands of dollars per user. However, organizations also get the customization and ease of use that they pay for. Once the use case, user base, and necessary features have been clarified, ensure that each product’s pricing structure aligns with your specific use case.


Pricing Information

A couple of well-known incumbent products own the lion’s share of the market and these tools tend to be much more expensive than newer upstart products with much smaller market share. One of the leading products in the category costs over $5,000 per user. Newer, less well-known products typically cost a fraction of the cost of the market leaders.

The free, open-source R programming language has more than 3,000 community-developed analytical applications, but can be challenging to use since it is code-based and does not have a drag-and-drop visual workspace.

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Frequently Asked Questions

What are predictive analytics?

Predictive analytics use historical data to make claims about future actions, trends or events. They rely on complex software to analyze existing data and construct predictive models.

What are predictive analytics used for?

Predictive analytics have a wide range of uses, including sales and supply chain forecasting, modeling behavior, and financial modelling.

Why are predictive analytics important?

Predictive analytics software is crucial to leveraging your data as effectively as possible when predicting figure activity and decision-making.

What’s the difference between predictive analytics and machine learning?

Machine learning is a method of programming and teaching your system to take certain actions and develop certain models, while predictive analytics focuses on creating a future-focused output. Machine learning can be a method to conduct predictive analytics.

How much does predictive analytics software cost?

Some popular predictive analytics tools are free to use, but require more coding experience. More accessible products, with easier interfaces, can range from $20 per user per month to over $100 per user per month.