Free List Of Top 10 Predictive Analytics Ai Companies

In the world of business, the ability to predict and prepare for future trends is invaluable. In the retail industry, predictive analytics AI companies are revolutionizing the way businesses make strategic decisions, streamline operations, and enhance customer experiences. By harnessing the power of advanced technologies, these companies are enabling executives to stay ahead of the curve and drive success in a rapidly evolving market. Here is a comprehensive overview of the top 10 predictive analytics AI companies in the US, along with their sector, year founded, annual revenue, short description, and website link.

1. DataRobot

Sector: Artificial Intelligence, Machine Learning

Year Founded: 2012

Annual Revenue: Over $100 million

Description: DataRobot offers an automated machine learning platform that empowers executives to make intelligent, data-driven decisions. With a user-friendly interface and robust predictive modeling capabilities, DataRobot is helping businesses across various industries unlock the potential of their data.

Website: [DataRobot](https://www.datarobot.com)

2. IBM Analytics

Sector: Information Technology, Cloud Computing

Year Founded: 1911

Annual Revenue: Over $70 billion

Description: IBM Analytics leverages artificial intelligence and predictive analytics to provide comprehensive solutions for businesses seeking to optimize their operations and gain a competitive edge. With a rich history of innovation, IBM continues to be a leader in the AI and analytics space.

Website: [IBM Analytics](https://www.ibm.com/analytics)

3. SAS Institute

Sector: Software, Analytics

Year Founded: 1976

Annual Revenue: Over $3 billion

Description: SAS Institute is a global leader in advanced analytics and AI-driven solutions. With a focus on empowering businesses with actionable insights, SAS Institute is at the forefront of revolutionizing the way organizations harness the power of predictive analytics.

Website: [SAS Institute](https://www.sas.com)

4. Microsoft Azure Machine Learning

Sector: Cloud Computing, Artificial Intelligence

Year Founded: 1975

Annual Revenue: Over $125 billion

Description: Microsoft Azure Machine Learning offers a scalable, cloud-based platform for building and deploying predictive models. With a suite of powerful tools and seamless integration with other Microsoft services, Azure Machine Learning is empowering executives to drive business innovation.

Website: [Microsoft Azure Machine Learning](https://azure.microsoft.com/en-us/services/machine-learning/)

5. Google Cloud AI

Sector: Cloud Computing, Artificial Intelligence

Year Founded: 1998

Annual Revenue: Over $182 billion

Description: Google Cloud AI provides a range of advanced machine learning and predictive analytics tools to help businesses extract valuable insights from their data. With Google’s unparalleled expertise in AI, businesses can leverage innovative solutions to drive growth and efficiency.

Website: [Google Cloud AI](https://cloud.google.com/products/ai)

6. Amazon Web Services (AWS) Machine Learning

Sector: Cloud Computing, Artificial Intelligence

Year Founded: 2006

Annual Revenue: Over $45 billion

Description: Amazon Web Services (AWS) Machine Learning offers a comprehensive set of cloud-based AI and machine learning services, enabling businesses to build, train, and deploy predictive models at scale. With AWS’s robust infrastructure, businesses can unlock the full potential of their data assets.

Website: [AWS Machine Learning](https://aws.amazon.com/machine-learning/)

7. Alteryx

Sector: Data Science, Analytics Automation

Year Founded: 2010

Annual Revenue: Over $450 million

Description: Alteryx provides a data science and analytics platform that empowers businesses to streamline their data workflows and drive predictive analytics initiatives. With a focus on democratizing data science, Alteryx is enabling executives to make informed decisions with ease.

Website: [Alteryx](https://www.alteryx.com)

8. RapidMiner

Sector: Data Science, Predictive Analytics

Year Founded: 2006

Annual Revenue: Undisclosed

Description: RapidMiner offers a unified data science platform that enables businesses to build, deploy, and monitor predictive models across their organizations. With a focus on driving actionable insights, RapidMiner is empowering businesses to stay ahead of the competition.

Website: [RapidMiner](https://rapidminer.com)

9. H2O.ai

Sector: Artificial Intelligence, Machine Learning

Year Founded: 2012

Annual Revenue: Undisclosed

Description: H2O.ai is a leading provider of open-source machine learning and AI platforms, enabling businesses to harness the power of predictive analytics with ease. With a focus on driving innovation and efficiency, H2O.ai is shaping the future of predictive analytics for businesses of all sizes.

Website: [H2O.ai](https://www.h2o.ai)

10. TIBCO Software

Sector: Data Science, Analytics

Year Founded: 1997

Annual Revenue: Over $1 billion

Description: TIBCO Software offers a comprehensive suite of data science and analytics solutions that enable businesses to leverage predictive analytics for informed decision-making. With a rich history of empowering businesses with data-driven insights, TIBCO Software is a trusted partner for predictive analytics.

Website: [TIBCO Software](https://www.tibco.com)

In an era defined by data-driven decision-making, the top predictive analytics AI companies are playing a crucial role in shaping the future of US business. By harnessing the power of advanced technologies and innovative solutions, these companies are empowering executives in the retail industry to gain a competitive edge, drive growth, and deliver exceptional customer experiences.