Top 10 Best Cloud Forecasting Software of 2026

Apptio Cloudability is a premier cloud cost management platform specializing in FinOps practices, offering deep visibility, optimization, and advanced forecasting for multi-cloud environments including AWS, Azure, and Google Cloud. It uses machine learning algorithms to predict future spend with high accuracy, supports budgeting, showback/chargeback, and what-if scenario modeling to aid strategic planning. As a top-ranked solution for cloud forecasting, it integrates seamlessly with cloud providers to deliver actionable insights for cost governance and efficiency.

VMware Aria CloudHealth is a leading cloud cost management platform that delivers comprehensive visibility, optimization, and forecasting across multi-cloud environments like AWS, Azure, and Google Cloud. It leverages historical data and machine learning to provide accurate cost forecasts, budget planning, and what-if scenario analysis, helping organizations predict and control future spend. The tool also includes optimization recommendations, governance policies, and FinOps workflows to maximize cloud efficiency.

Flexera One is a robust cloud management platform specializing in cost optimization, forecasting, and FinOps for multi-cloud environments including AWS, Azure, and Google Cloud. It leverages AI and machine learning to deliver accurate spend predictions, trend analysis, and what-if scenarios to help organizations forecast and control cloud costs proactively. The solution integrates seamlessly with native cloud billing and provides actionable insights for rightsizing, reservations, and waste reduction.

CloudZero is a cloud cost intelligence platform specializing in real-time visibility, allocation, and forecasting of cloud spend across AWS, Azure, GCP, and Kubernetes environments. It uses machine learning to predict future costs based on historical usage patterns, anomalies, and business metrics, enabling proactive budgeting and optimization. The tool emphasizes unit economics, breaking down costs by team, application, or customer to support granular forecasting and cost control.

Spot by NetApp (formerly spot.io) is a cloud cost optimization and management platform that excels in forecasting cloud spend across AWS, Azure, and Google Cloud. It uses machine learning to predict future costs based on historical usage, trends, and anomalies, helping teams set budgets and avoid overspending. Beyond forecasting, it automates rightsizing, spot instance orchestration, and commitment management to maximize savings while maintaining performance.

Harness is a software delivery platform with robust Cloud Cost Management features, specializing in forecasting cloud expenditures across multi-cloud environments like AWS, Azure, and GCP. It uses machine learning to analyze historical data, predict future costs, detect anomalies, and provide optimization recommendations. This enables engineering teams to proactively manage budgets and align spending with business goals within their CI/CD workflows.

Kubecost is a Kubernetes-native cost management platform that delivers real-time visibility, allocation, and forecasting of cloud costs for clusters on AWS, GCP, and Azure. It breaks down expenses by namespace, pod, deployment, and labels, enabling precise attribution to teams and applications. The tool provides predictive cost forecasting based on historical trends, budget alerts, and optimization recommendations to curb waste and plan future spend effectively.

Densify is a cloud optimization platform specializing in FinOps practices, offering advanced forecasting tools to predict future cloud costs and resource usage across AWS, Azure, Google Cloud, and Kubernetes environments. It leverages machine learning algorithms to analyze historical data, providing accurate capacity planning, budgeting insights, and rightsizing recommendations. The software helps organizations proactively manage cloud spend by simulating scenarios and identifying optimization opportunities.

Finout is a cloud cost management platform focused on FinOps practices, offering machine learning-powered forecasting to predict future cloud spend across AWS, Azure, and GCP. It provides detailed cost visibility, anomaly detection, optimization recommendations, and chargeback capabilities to help teams control and allocate expenses effectively. The tool integrates with BI platforms for customizable reporting, making it suitable for organizations aiming to optimize multi-cloud environments proactively.

ProsperOps is an AI-driven cloud cost management platform specializing in FinOps practices, with robust forecasting tools to predict future AWS, Azure, and GCP spend accurately. It automates Savings Plans, Reservations, and rightsizing recommendations while providing anomaly detection and customizable forecasting models. This solution helps organizations forecast budgets, track commitments, and optimize costs proactively in dynamic cloud environments.