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Top 1 Time Series Intelligence Software Companies $100M+ Revenue (September 2026)

As of September 2026, Latka tracks 1 time series intelligence software companies with $100M+ in annual revenue. They have combined revenues of $206.2M and employ 620 people. They have raised $108.8M and serve 3K customers combined.

Every company below sells time series intelligence software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.

What Time Series Intelligence Software Companies do

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.

Companies
1
Revenue
$206.2M
Funding
$108.8M
Employees
620

Filters

Sorting: Highest -> Lowest

Filters

Top Time Series Intelligence Software Companies $100M+ Revenue

Showing 1 of 1 companies ranked by annual revenue.

1The-Climate Corporation logo
The-Climate Corporation

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.

Revenue
$206.2M
Customers
3K
Year founded
2006
Funding
$108.8M
Team size
620

Frequently asked questions about Time Series Intelligence Software Companies $100M+ Revenue

How many time series intelligence software companies with $100M+ in annual revenue are there?

Latka tracks 1 time series intelligence software companies with $100M+ in annual revenue. Together they generate $206.2M in annual revenue and employ 620 people.

Which time series intelligence software company with $100M+ in annual revenue is the largest?

The-Climate Corporation is the largest, with $206.2M in annual revenue, founded in 2006.

How much revenue does a typical time series intelligence software company with $100M+ in annual revenue make?

The average time series intelligence software company in this list makes $206.2M a year, across 1 companies with reported revenue. They serve 3K customers combined.

Who are the leading Time Series Intelligence software vendors with $100M+ in annual revenue?

Ranked by annual revenue, the leaders are The-Climate Corporation.

How much funding have time series intelligence software companies with $100M+ in annual revenue raised?

The 1 time series intelligence software companies with $100M+ in annual revenue tracked here have raised $108.8M in disclosed funding between them.

Related Analytics Tools & Software categories

Inclusion Criteria

- 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