1
Agilisium
Jonestown, Texas, United States
Data innovation lab solutions and services company for cloud customers with a vertical focus on life science and pharma industries
- Revenue
- $98M
- Year founded
- 2014
- Team size
- 661
Top 50 Predictive Analytics Software Companies With $10M–$100M Revenue (October 2026)
As of October 2026, Latka tracks 295 predictive analytics software companies with $10M–$100M in annual revenue. They have combined revenues of $8B and employ 55.1K people. They have raised $7.8B and serve 933.6M customers combined.
Every company below sells predictive analytics software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
What Predictive Analytics Software Companies do
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.
- Companies
- 295
- Revenue
- $8B
- Funding
- $7.8B
- Employees
- 55.1K
Filters
Sorting: Highest -> Lowest
Top Predictive Analytics Software Companies With $10M–$100M Revenue
Showing 10 of 295 companies ranked by annual revenue.
2
Aera Technology
Mountain View, California, United States
technology company specializing in software solutions
- Revenue
- $97M
- Year founded
- 2017
- Funding
- $209.7M
- Team size
- 443
- Revenue
- $94.6M
- Year founded
- 2019
- Funding
- $33M
- Team size
- 402
- Revenue
- $94.5M
- Customers
- 77
- Year founded
- 2009
- Funding
- $20M
- Team size
- 434
5
IGAWorks
Seoul, Seoul, South Korea
아이지에이웍스는 압도적인 데이터를 기반으로 디지털 전환과 데이터 드리븐 마케팅을 위한 풀스택(Full-stack) 플랫폼과 서비스를 제공하는 Data-tech 기업입니다. 기업의 1st party data를 위한 CDP(Customer Data Platform), 모바일, TV, 커머스 등 독보적인 3rd party data 제공하는 DMP(Data Management Platform), AI 기반의 데이터 드리븐 마케팅 운영을 위한 ATD(Advertiser’s trading desk) 등 클라우드 기반의 디지털 전환 및 데이터 마케팅에 관한 전방위적 비즈니스를 펼쳐나가고 있습니다.
- Revenue
- $92M
- Year founded
- 2006
- Funding
- $38.5M
- Team size
- 126
6
Ocrolus
New York, New York, United States
Ocrolus is an AI-powered data and analytics platform that enables financial institutions to make faster, more accurate decisions. We automate underwriting workflows across small business, mortgage, and consumer lending, delivering a best-in-class solution for analyzing financial documents. Our platform classifies documents, extracts key data, detects fraud, and delivers comprehensive cash flow and income analysis—all with exceptional precision and reliability. With Ocrolus, lenders can streamline the borrower experience, scale operations efficiently, and manage risk with greater confidence.
- Revenue
- $91.6M
- Year founded
- 2014
- Funding
- $127M
- Team size
- 833
7
Coralogix
San Francisco, California, United States
cloud-based machine learning-powered log analytics and monitoring solutions
- Revenue
- $90.8M
- Customers
- 2K
- Year founded
- 2014
- Funding
- $236.5M
- Team size
- 572
8
ProcDNA
South San Francisco, California, United States
ProcDNA is a consulting firm specializing in commercial analytics and technology, primarily serving the life sciences sector. They create game-changing Commercial Analytics and Technology solutions.
- Revenue
- $85.8M
- Year founded
- 2019
- Team size
- 331
- Revenue
- $85M
- Customers
- 80
- Year founded
- 2012
- Funding
- $150M
- Team size
- 358
- Revenue
- $82.6M
- Customers
- 100
- Year founded
- 2013
- Funding
- $320M
- Team size
- 573
Frequently asked questions about Predictive Analytics Software Companies With $10M–$100M Revenue
How many predictive analytics software companies with $10M–$100M in annual revenue are there?
Latka tracks 295 predictive analytics software companies with $10M–$100M in annual revenue. Together they generate $8B in annual revenue and employ 55.1K people.
Which predictive analytics software company with $10M–$100M in annual revenue is the largest?
Agilisium is the largest, with $98M in annual revenue, founded in 2014.
How much revenue does a typical predictive analytics software company with $10M–$100M in annual revenue make?
The average predictive analytics software company in this list makes $27.1M a year, across 295 companies with reported revenue. They serve 933.6M customers combined.
Who are the leading Predictive Analytics software vendors with $10M–$100M in annual revenue?
Ranked by annual revenue, the leaders are Agilisium, Aera Technology, AiDash, Optimove and IGAWorks.
How much funding have predictive analytics software companies with $10M–$100M in annual revenue raised?
The 295 predictive analytics software companies with $10M–$100M in annual revenue tracked here have raised $7.8B in disclosed funding between them.
Related Analytics Tools & Software categories
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.