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Top 13 Financial Predictive Analytics Software SaaS Companies in May 2026

As of May 2026, there are 13 SaaS companies in Financial Predictive Analytics Software. They have combined revenues of $47.3M and employ 245 people. They have raised $51.5M and serve 650.6K customers combined.

Financial Predictive Analytics Software is a category of data analysis tools designed to forecast financial outcomes based on historical data and statistical models. These tools enable organizations to analyze trends, identify patterns, and make data-driven decisions for various financial activities such as budgeting, cash flow management, and investment strategies. Key features often found in these software solutions include data visualization, machine learning algorithms, risk assessment models, and scenario planning functionalities. Common users of financial predictive analytics software include finance professionals, investment analysts, corporate strategists, and risk management teams, who rely on these insights to navigate uncertainties in the financial landscape.

Companies
13
Revenue
$47.3M
Funding
$51.5M
Employees
245

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Top Financial Predictive Analytics Software Companies

Showing 10 of 2 companies ranked by annual revenue.

1
Kayrros

Paris, Ile-de-france, France

Provider of predictive analytics created to increase efficiency for energy markets. The company's predictive analytics is integrating unstructured data such as satellite imagery and social news with large scale financial and technical data and then combines data science, machine learning and advanced mathematical models with deep industry knowledge enabling energy market players to take faster and better informed decisions.

Revenue
$20.2M
Customers
80
Year founded
2016
Funding
$34.5M
Team size
121
Growth
91.81%
2
Emerge

Johannesburg, South Africa

Provider of a SaaS based data analytics platform intended to provide predictive insights about banking, retail and insurance businesses. The company's platform solves complex business problem through machine learning and artificial intelligence, enabling their clients to navigate through the corporate data maze and become more profitable.

Revenue
$12.1M
Customers
150K
Year founded
2012
Funding
$18.2K
Team size
10
Growth
21%

Inclusion Criteria

- Provides predictive modeling capabilities to forecast financial trends - Supports risk assessment and management processes - Enables cash flow forecasting and budgeting improvements - Incorporates machine learning or statistical analysis tools - Facilitates scenario planning for financial decision-making - Not limited to historical reporting; must include predictive capabilities