1
Hopper
Montreal, Quebec, Canada
Hopper is a mobile app that leverages big data and machine learning to predict and analyze airfare
- Revenue
- $686.9M
- Customers
- -
- Year founded
- 2007
- Funding
- $175M
- Team size
- 1.2K
- Growth
- -
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As of August 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.
Sorting: Highest -> Lowest
Showing 10 of 1,831 companies ranked by annual revenue.
Montreal, Quebec, Canada
Hopper is a mobile app that leverages big data and machine learning to predict and analyze airfare
Las Vegas, Nevada, United States
TELUS Digital AI & Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI ...
- 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.
Warsaw, Poland
RTB House is a global marketing technology company that provides retargeting and programmatic advertising solutions for online businesses. The company was founded in 2012 and is headquartered in Warsaw, Poland, with offices in more than 30 countries. RTB House's proprietary technology uses deep learning algorithms to analyze user behavior and predict their purchasing intent, enabling businesses to deliver personalized and relevant ads to potential customers. The company's solutions are available for desktop and mobile devices, and its customers include e-commerce companies, travel companies, and other online businesses across a variety of industries. With a focus on innovation and data-driven solutions, RTB House is helping businesses reach their target audiences more effectively and drive better results from their digital advertising efforts.
London, England, United Kingdom
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions. ____ Please note that RELX does not contact people through social media to extend job or contract offers, nor do we request money, credit card details or bank account information as part of any project or job application process. Any such request is fraudulent. Please contact your local law enforcement agency if you have been victimized by a scammer. For careers, access https://www.relx.com/careers/why-relx
Danvers, Massachusetts, United States
DemandScience is the premier AI-powered, B2B demand generation company accelerating global growth for our clients. The DemandScience intelligence platform empowers B2B organizations to swiftly identify the right accounts and target in-market buyers with precision. By combining groundbreaking technologies and AI innovation, the company ensures timely delivery of accurate data, intelligence, and insights, adding value to the end-to-end journey from initial engagement to conversion. Founded in 2012, DemandScience provides 1,500 global customers with superior marketing solutions, B2B data, and leads.
China
Provider of cloud-based technology for data-driven smart factories created to bring internet technology to traditional manufacturers. The company offers algorithm-driven and flexible configurable multi-platform real-time collaboration systems that lower the IT and data analytics threshold for self-innovative factories, enabling manufacturing enterprises to shorten standard manufacturing cycles by as much as 35% and increase efficiency by around 22%, while reducing manufacturing costs.
Boston, Massachusetts, United States
DataRobot provides an automated machine learning platform that helps organizations build and deploy predictive models quickly and efficiently.
Chicago, Illinois, United States
IRI is a leading provider of big data, predictive analytics and forward-looking insights that help CPG, OTC healthcare, retailers and media companies to grow their businesses. With the largest repository of purchase, media, social, causal and loyalty data, all integrated on an on-demand cloud-based technology platform, IRI guides its clients around the world in their quests to remain relentlessly relevant, capture market share, connect with consumers and deliver market-leading growth.
