Top 1,831 Predictive Analytics Software SaaS Companies in July 2026
As of July 2026, there are 1,831 SaaS companies in Predictive Analytics Software. They have combined revenues of $20B and employ 138.4K people. They have raised $19.3B and serve 1.3B customers combined.
Predictive Analytics Software refers to a category of applications designed to analyze historical and current data to forecast future events and trends. These tools employ various statistical techniques, machine learning algorithms, and data mining methods to help organizations make informed decisions. Users in fields such as finance, marketing, operations, and supply chain management seek predictive analytics for its ability to enhance decision-making processes through actionable insights.
Typical features of predictive analytics software include data integration capabilities, predictive modeling, visualization tools, and reporting functionalities. Common workflows often involve data extraction, preparation, analysis, and reporting, enabling users to identify patterns and make predictions based on factual data. Buyer personas may include business analysts, data scientists, and operational decision-makers who require insights for strategy development and resource allocation.
Developer of an analytical platform intended for the corporate legal department. The company's platform uses artificial intelligence to detect the trends of the judiciary in-depth, enabling clients to reduce costs, risks and increasing the level of predictability of legal liabilities.
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Provides digital transformation and IT services that include cloud, data, big data, business intelligence, applications, digital analytics, and innovative IT products
Atoptima offers a suite of powerful optimization solvers to meet operations planning challenges such as: transportation planning and vehicle routing; parceling, 3D palletization and loading; order picking and slotting; production scheduling and planning; depot location, network design and strategic planning.
These decision-support tools are available in Software-As-A-Service, and significantly improve operational performance while decarbonizing the supply chain.
AI-powered Decision Support for Commercial Underwriters
Revenue
$5M
Customers
-
Year founded
2017
Funding
$14M
Team size
38
Growth
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Inclusion Criteria
- The software must provide advanced analytics capabilities to analyze historical and current data.
- It should include predictive modeling to forecast future trends and behaviors.
- The tool must facilitate data visualization to present insights clearly and effectively.
- It should integrate with other data systems and sources for comprehensive analysis.
- Not just basic reporting; it must include statistical analysis and machine learning features.
- User interfaces should be designed for accessibility to business users, not just data experts.
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