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20 Test Automation Case Studies Demonstrating Business Impact

Cem Dilmegani
Cem Dilmegani
updated on Sep 3, 2025

QA teams struggle with slow, manual testing, which often results in higher costs, longer development cycles, and customer dissatisfaction. Transitioning to automated QA testing is the top priority in the software testing environment.

To help decision-makers assess the impact of test automation, we analyze 20 case studies highlighting real-world transformations.

Test automation case studies by industry

Software & IT

Company
Vendor
Challenges/Goals
Results
Optimizely
Cypress
Slow regression testing
4x faster test runs, 86% less time debugging, 40% increase in feature coverage
Siemens Software
Cypress
Flaky & slow codes, many false negatives
49% reduction in test code, 38% productivity increase, 375% faster test execution
Lightstep
Cypress
Complex QA, time-consuming manual tests
8-12k tests run daily, 48x faster deployment validation
SaltStack
Cypress
Slow manual testing
93% reduction in regressions, 300+ tests written in one month, 100% test coverage for new features
Cobb Systems Group
Subject7
Regression testing across multiple datasets & browsers
Reduced regression testing time from weeks to 3-4 days, ensured execution consistency

Consulting, Logistics & Education

Company
Vendor
Challenges/Goals
Results
DHL
Cypress
Shipping labeling tool needed optimization
65% faster run time, increased coverage & test execution
Global Consulting Firm
Subject7
Changing test requirements for different clients
Easily modifiable automated tests
Leidos
Subject7
Cross-browser testing, large test code volume, skill disparity among testers
90% productivity increase, 42% savings in testing resources
Latitude CG
Subject7
Recreating test cases took too long
10x faster test case recreation, doubled test coverage

E-commerce & Retail

Company
Vendor
Challenges/Goals
Results
An e-commerce platform
Testifi
Poor product quality, customer churn
Significant quality improvement, 10-minute feedback loop, reduced development cycle
Large independent wine retailer
Subject7
Constant maintenance, not scalable
60% reduction in testing cycle time, improved release quality, reduced costs
Motionsoft
Subject7
Slow manual testing (2000 tests took weeks)
3600 automated tests executed daily

Finance, Construction, Government & Defense

Company
Vendor
Challenges/Goals
Results
GoFundMe
Cypress
High test failures, slow execution
30x faster test execution, 98-99% reduction in test failures, 50% increase in developers writing tests
US Government Agency
Subject7
Slow manual testing, inexperienced testing team
No-code test automation, continuous feedback with automated tests
Dovel
Subject7
976 man-hours required for regression testing
Reduced regression testing time to 7 machine hours, nightly regression tests
PlanGrid
Cypress
Slow, hard-to-maintain UI tests
2000+ tests daily, 4-minute test runtime, 20+ custom test commands

A common characteristic we noticed in 50% of the case studies mentioned is that the companies initially used or experimented with Selenium, an open-source tool for test automation. However, companies opted for a different test automation provider because they found Selenium to be either too complicated to use or inefficient for their needs. 

Why Some Companies Choose Third-Party Testing Providers

While many organizations start with open-source frameworks like Selenium, they often face challenges related to complexity, maintenance, or scalability. In several of the case studies analyzed, companies turned to third-party testing providers to address skill gaps, accelerate implementation, and gain access to specialized QA expertise.

Third-party testing solutions are especially valuable when:

  • Internal QA teams lack the bandwidth or expertise
  • A rapid testing transformation is required
  • Independent validation is needed for compliance or client requirements

In these cases, outsourcing or adopting a third-party platform enabled faster onboarding, better automation coverage, and often more consistent test results. For example, low-code testing platforms provided by third parties helped non-technical staff contribute to QA without writing scripts.

What are the common problems in these case studies?

Bad coding

According to our observation, developers skip or reduce testing if a company has a hard-to-use or ineffective testing system because it increases the effort required without a clear benefit. An ineffective testing system can harm a company substantially by allowing bugs to reach later development stages, which can result in the following:

  • Higher cost of bug fixing
  • Lower product quality  
  • Loss of customers

Automation testing effect: Test automation can reduce the effort required by manual testing. It is reported that in 46% of the cases where test automation was implemented, 50% or more of the manual testing was replaced. Additionally, 55% of companies seeking test automation mention quality improvement as their main strategic driver. 

Slow testing

Slow testing is a significant hurdle in the age of agile development and CI/CD. It is estimated that 35% of the testing cycle is spent on manual testing. Slow testing increases the development time and reduces the feedback available for each build of a design. 

Automation testing effect: Test automation can significantly increase the number of tests that can be run in a time period. 30% of companies that are pursuing test automation indicate time to market as their main driver. 

Workforce with different skill levels 

Each company’s testing workforce is different. Within a team, skill levels can drastically differ among members; some can be professional testers with advanced programming knowledge, while others might not know how to program.

Automation testing effect: Test automation tools can provide no/low-code solutions that can benefit non-technical users. 

To learn more about software testing best practices, you can read our Top 10 Best Practices for Software Testing.

Further readings

Principal Analyst
Cem Dilmegani
Cem Dilmegani
Principal Analyst
Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 55% of Fortune 500 every month.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE and NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and resources that referenced AIMultiple.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.
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