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
As of August 2026, Latka tracks 300 predictive analytics software companies with $10M–$100M in annual revenue. They have combined revenues of $8.2B and employ 56.8K people. They have raised $7.9B 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.
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.
Sorting: Highest -> Lowest
Showing 10 of 300 companies ranked by annual revenue.
Jonestown, Texas, United States
Data innovation lab solutions and services company for cloud customers with a vertical focus on life science and pharma industries
Mountain View, California, United States
technology company specializing in software solutions
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.
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.
San Francisco, California, United States
cloud-based machine learning-powered log analytics and monitoring solutions
Framingham, Massachusetts, United States
Definitive Healthcare is the leading provider of data and analytics, focusing on the business side of healthcare. The healthcare market is complex – our intelligence makes it clearer. We cut through the noise, offering the clarity you need to make smarter, faster, more strategic decisions. Because when you succeed, healthcare gets better for everyone. Making sense of the healthcare market starts with the right intelligence. Our powerful SaaS solutions combine proprietary data, analytics, and deep industry expertise to help biopharma, medtech, healthcare providers, and other leaders accelerate growth and make a bigger impact. We help you answer the critical questions you face every day—from identifying the right markets and audiences to accelerating commercialization and improving patient care. Our customers rely on our data and analytics for a variety of strategic use cases, including: • Total Addressable Market (TAM) definition • Audience segmentation • Decision-maker / ideal client identification • Patient acquisition and retention • Healthcare professional (HCP) targeting • Consumer targeting • Digital advertising / audience activation • Key opinion leader (KOL) identification & engagement • Clinical trends tracking & analysis • Commercial targeting • Market access strategy • Go-to-market strategy • Payor landscape intelligence Definitive Healthcare has expanded its global client base to 2,400+ and is headquartered in Framingham, Massachusetts, with offices across the U.S., Sweden, and India. We are recognized as a great place to work, including Built In’s 100 Best Places to Work in Boston. To learn more about how our healthcare data and analytics can help you accelerate growth and your impact on healthcare, visit us at www.definitivehc.com.
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.
Latka tracks 300 predictive analytics software companies with $10M–$100M in annual revenue. Together they generate $8.2B in annual revenue and employ 56.8K people.
Agilisium is the largest, with $98M in annual revenue, founded in 2014.
The average predictive analytics software company in this list makes $27.3M a year, across 300 companies with reported revenue. They serve 933.6M customers combined.
Ranked by annual revenue, the leaders are Agilisium, Aera Technology, AiDash, Optimove and IGAWorks.
The 300 predictive analytics software companies with $10M–$100M in annual revenue tracked here have raised $7.9B in disclosed funding between them.
- 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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