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As of August 2026, there are 130 SaaS companies in Time Series Intelligence Software. They have combined revenues of $945M and employ 5.5K people. They have raised $1B and serve 47.4K customers combined.
Time Series Intelligence Software facilitates the analysis and interpretation of time-ordered data points, enabling businesses to discern patterns, trends, and anomalies over specific periods. This category of software is integral in various applications, including financial forecasting, stock market analysis, and monitoring sensor data from IoT devices. By processing sequential data, these tools empower users to make informed decisions based on historical trends and predictive insights. Key features of time series intelligence software often include advanced analytics capabilities, visualization tools, anomaly detection, and forecasting models. These functionalities streamline workflows for domains like finance, operations, and IT, where professionals require a reliable understanding of trends over time. Typical users of these tools include data analysts, financial officers, and business intelligence professionals who need to convert complex datasets into actionable insights. Ultimately, time series intelligence software serves as a critical resource for organizations looking to leverage historical data for strategic planning and operational improvements, enabling them to stay ahead in a competitive environment.
Sorting: Highest -> Lowest
Showing 10 of 130 companies ranked by annual revenue.
St. Louis, Missouri, United States
The Climate Corporation is a digital agriculture company that examines weather, soil and field data to help farmers determine potential yield-limiting factors in their fields.
London, England, United Kingdom
XTX Markets is a leading algorithmic trading firm which uses state-of-the-art machine learning technology to produce price forecasts and serves as a liquidity provider, partnering with exchanges and e-trading venues globally.
- Must analyze time-ordered data to identify trends and patterns - Should provide forecasting capabilities to predict future outcomes based on historical data - Must include visualization tools to present data analyses clearly - Should enable anomaly detection to highlight significant deviations in datasets - Target users typically include data analysts, financial professionals, and business intelligence teams - Not limited to just basic data processing; must also offer advanced analytical features
San Francisco, California, United States
time-series data management and analytics platform
United States
FreightWaves is the world's leading provider of freight market forecasting and analytics. Logistics and supply chain customers depend on FreightWaves for benchmarking, analytics, monitoring, and forecasting of pricing, capacity, demand, energy, and carbon intelligence.
London, London, United Kingdom
Real-time observability platform for financial services and regulated industries. AI-powered automation that prevents IT outages before they happen. ITRS is recognized in the 2025 Gartner® Magic Quadrant™ for Observability Platforms.
Boston, Massachusetts, United States
AI-powered supply chain planning and optimization to successfully navigate uncertainty - ToolsGroup helps retailers, distributors, and manufacturers improve the resilience and performance of their operations with a unique probabilistic planning approach that leverages AI and real-time data from across the enterprise for decision-making at the speed of business. ToolsGroup is also a great place to work! Visit https://www.toolsgroup.com/careers to see current opportunities.
Mountain View, California, United States
Bidgely is the indispensable innovation partner for UtilityAI. Bidgely’s patented disaggregation technology unlocks opportunities for utilities to optimize shareholder value, personalize customer engagement, and modernize grid operations. With more than 15M homes under contract, Bidgely is the choice of leading utilities, Learn more at bidgely.com.
Seattle, Washington, United States
Seeq Corporation develops software and services that accelerate industrial process analytics on industrial process data. Industrial process data is the collection of time-series data, events, and signals, as well as related contextual data, generated by production and manufacturing organizations. Due to the high volume, velocity, and variety of these data streams, industrial process data typically requires extensive manipulation to enable insight and analytics. Seeq's sophisticated yet easy-to-use analysis tools are applicable for industrial markets like oil refineries, pharmaceuticals, and energy production. Seattle-based Seeq also has satellite offices in the western United States and Canada. Launched in May, 2013, the experienced founding team includes executives, engineers, and data scientists formerly with OSIsoft, Honeywell, Microsoft, and Insitu. Seeq is led by Dr. Lisa Graham, CEO. Learn more about Seeq at www.seeq.com.
Amsterdam, North Holland, Netherlands
Dexter Energy develops energy forecasting and trading optimization software designed to minimize balancing costs. They specialize in AI-based forecasting solutions for the energy sector and provide services to energy utilities.
