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Top 50 Time Series Intelligence Software Companies (August 2026)

As of August 2026, Latka tracks 130 time series intelligence software companies. They have combined revenues of $945M and employ 5.5K people. They have raised $1B and serve 47.4K 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
130
Revenue
$945M
Funding
$1B
Employees
5.5K

Filters

Sorting: Highest -> Lowest

Filters

Top Time Series Intelligence Software Companies by revenue

Showing 10 of 130 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
2XTX Markets logo
XTX Markets

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.

Revenue
$92.4M
Year founded
2015
Team size
262
3InfluxData logo
InfluxData

San Francisco, California, United States

time-series data management and analytics platform

Revenue
$75M
Customers
400
Year founded
2012
Funding
$119.9M
Team size
197
4FreightWaves logo
FreightWaves

United States

FreightWaves is a Chattanooga, Tennessee-based supply chain intelligence company that combines a media operation with a SaaS data platform. Founded by Craig Fuller, who serves as CEO, the company targets the global supply chain industry, covering freight, logistics, and physical goods movement across all modes of transport. The company reached $20 million in annual recurring revenue as of 2022, growing 90% year over year, after starting its SaaS business in 2018 when data subscriptions represented just 5% of total revenue. FreightWaves employs approximately 200 people and operates at a cash burn of roughly $1 million per quarter while adding approximately $2 million in net ARR per quarter. FreightWaves goes to market through what Fuller calls a content-supported SaaS model, combining original editorial content, streaming television, podcasts, live events, and a SiriusXM radio show to drive top-of-funnel awareness for its SONAR data product, which is priced at approximately $25,000 per year per customer. Fuller told the audience that 70% of enterprise SaaS deals close because prospective customers first encountered the company through its free media content.

Revenue
$53.9M
Customers
700
Year founded
2016
Funding
$92.4M
Team size
215
5ITRS logo
ITRS

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.

Revenue
$41.3M
Year founded
1997
Team size
375
6ToolsGroup logo
ToolsGroup

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.

Revenue
$35.1M
Year founded
1993
Team size
319
7Bidgely logo
Bidgely

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.

Revenue
$25.5M
Year founded
2011
Team size
232
8Seeq Corporation logo
Seeq Corporation

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.

Revenue
$25.3M
Year founded
2013
Team size
230
9Dexter Energy logo
Dexter Energy

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.

Revenue
$23.3M
Year founded
2016
Team size
107
10Zenoss Inc. logo
Zenoss Inc.

Austin, Texas, United States

IT monitoring and analytics software

Revenue
$17M
Year founded
2005
Funding
$515.8M
Team size
75

Frequently asked questions about Time Series Intelligence Software Companies

How many time series intelligence software companies are there?

Latka tracks 130 time series intelligence software companies with reported revenue. Together they generate $945M in annual revenue and employ 5.5K people.

Which time series intelligence software company 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 make?

The average time series intelligence software company in this list makes $7.3M a year, across 130 companies with reported revenue. They serve 47.4K customers combined.

Who are the leading Time Series Intelligence software vendors?

Ranked by annual revenue, the leaders are The-Climate Corporation, XTX Markets, InfluxData, FreightWaves and ITRS.

How much funding have time series intelligence software companies raised?

The 130 time series intelligence software companies tracked here have raised $1B 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