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Top 2 Mobile Analytics Software Companies With $1M–$5M Revenue (September 2026)

As of September 2026, Latka tracks 2 mobile analytics software companies with $1M–$5M in annual revenue. They have combined revenues of $2.5M and employ 22 people.

Every company below sells mobile analytics 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 Mobile Analytics Software Companies do

Mobile Analytics Software encompasses a range of tools designed to gather, analyze, and interpret data from mobile applications. These tools primarily focus on user behavior, performance metrics, and engagement levels within mobile apps, offering insights that help developers and businesses understand how users interact with their digital products. Common features include event tracking, user segmentation, retention analysis, and conversion tracking, which collectively aid in optimizing the user experience and increasing app retention rates. The primary users of mobile analytics software typically include app developers, product managers, marketing teams, and data analysts. They leverage these tools not only to identify performance issues and user preferences but also to inform strategic decisions that enhance app functionality and drive business outcomes. By enabling teams to make data-driven enhancements, mobile analytics plays a crucial role in the development and marketing of mobile applications, ensuring they meet user needs effectively.

Companies
2
Revenue
$2.5M
Funding
-
Employees
22

Filters

Sorting: Highest -> Lowest

Filters
Revenue
All<$1M$1M-$5M$5M-$10M$10M-$100M$100M+
Funding (Locked)Growth (Locked)Team-Size (Locked)

Top Mobile Analytics Software Companies With $1M–$5M Revenue

Showing 2 of 2 companies ranked by annual revenue.

1Appbot logo
Appbot

Perth, Western Australia, Australia

Our mission is simple: we exist to help Product teams and developers build better mobile apps that their users love. We make sense of review data from the major mobile app stores by aggregating and analysing customer sentiment about your apps, and those of your competitors. Developers and Product Managers use Appbot to cut through the noise and surface the reviews that are really important to their downloads and revenue by: - easily identifying feature requests, - quickly surfacing bugs, and - tracking how users are feeling about their apps over time. Read our stories here - https://stories.appbot.co

Revenue
$1.3M
Year founded
2012
Team size
12
2OysterLabs logo
OysterLabs

New York, New York, United States

New York-based Mobile App Design, Development, Analytics, and CRM

Revenue
$1.1M
Year founded
2011
Team size
10

Frequently asked questions about Mobile Analytics Software Companies With $1M–$5M Revenue

How many mobile analytics software companies with $1M–$5M in annual revenue are there?

Latka tracks 2 mobile analytics software companies with $1M–$5M in annual revenue. Together they generate $2.5M in annual revenue and employ 22 people.

Which mobile analytics software company with $1M–$5M in annual revenue is the largest?

Appbot is the largest, with $1.3M in annual revenue, founded in 2012.

How much revenue does a typical mobile analytics software company with $1M–$5M in annual revenue make?

The average mobile analytics software company in this list makes $1.2M a year, across 2 companies with reported revenue.

Who are the leading Mobile Analytics software vendors with $1M–$5M in annual revenue?

Ranked by annual revenue, the leaders are Appbot and OysterLabs.

Related Development Software categories

All Development Software SaaS categoriesEvery category we track inside Development Software, each ranked by revenue.Browse every SaaS industryThe full A-Z of SaaS categories Latka tracks, from Mobile Analytics to everything else.

Inclusion Criteria

- Must provide detailed tracking of user interactions within mobile applications. - Should include features for analyzing user behavior and app performance metrics. - Must enable segmentation of data for targeted analysis and reporting. - Should offer retention and engagement analysis capabilities to track user loyalty. - Not just for desktop analytics; must specifically focus on mobile app environments.