- Revenue
- $100M
- Customers
- 1K
- Year founded
- 2016
- Funding
- $88M
- Team size
- 872
- Growth
- -
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.
Filters
Sorting: Highest -> Lowest
Top Predictive Analytics Software Companies
Showing 10 of 305 companies ranked by annual revenue.
2
SambaNova Systems
Palo Alto, California, United States
SambaNova is the leading Enterprise AI company that delivers a full-stack infrastructure from silicon to software, specializing in machine learning and big data analytics platforms.
- Revenue
- $100M
- Customers
- -
- Year founded
- 2017
- Funding
- $982M
- Team size
- 417
- Growth
- -
3
DevRev Inc.
Palo Alto, California, United States
DevRev is designed for AI to work alongside people by converging business infrastructure, which we call AgentOS. AgentOS unlocks the power of AI Agents, We can replace legacy systems with an interconnected platform to automate labor-intensive tasks, and enhance the customer experience with self-service and preemptive engagement. Despite its breadth, AgentOS begins to deliver value in hours rather than months through our powerful data replication, sync capabilities, and analytics AI agents.
- Revenue
- $100M
- Customers
- -
- Year founded
- 2020
- Funding
- $150.8M
- Team size
- 782
- Growth
- 43.06%
4
Grandview Analytics
Glenview, Illinois, United States
Technology consulting and data management software company serving financial institutions, offering data strategy, technology implementation and analytics consulting services
- Revenue
- $100M
- Customers
- -
- Year founded
- 2014
- Funding
- -
- Team size
- 36
- Growth
- -
- Revenue
- $100M
- Customers
- -
- Year founded
- 2019
- Funding
- $453.9M
- Team size
- 714
- Growth
- -
6
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
- Customers
- -
- Year founded
- 2014
- Funding
- -
- Team size
- 661
- Growth
- -
7
Aera Technology
Mountain View, California, United States
technology company specializing in software solutions
- Revenue
- $97M
- Customers
- -
- Year founded
- 2017
- Funding
- $209.7M
- Team size
- 443
- Growth
- -
- Revenue
- $94.6M
- Customers
- -
- Year founded
- 2019
- Funding
- $33M
- Team size
- 402
- Growth
- -
- Revenue
- $94.5M
- Customers
- 77
- Year founded
- 2012
- Funding
- $20M
- Team size
- 434
- Growth
- -
10
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
- Customers
- -
- Year founded
- 2006
- Funding
- $38.5M
- Team size
- 126
- Growth
- -
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.