Total Economic Impact

The Total Economic Impact™ Of Tricentis Tosca After Open-Source Test Automation Tools

Cost Savings And Business Benefits Enabled By Migrating to Tosca From Open-Source Tools

A FORRESTER TOTAL ECONOMIC IMPACT STUDY COMMISSIONED BY Tricentis, August 2026

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Total Economic Impact

The Total Economic Impact™ Of Tricentis Tosca After Open-Source Test Automation Tools

Cost Savings And Business Benefits Enabled By Migrating to Tosca From Open-Source Tools

A FORRESTER TOTAL ECONOMIC IMPACT STUDY COMMISSIONED BY Tricentis, August 2026

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Executive Summary

Organizations face mounting pressure to accelerate release cycles, maintain quality, and reduce costs in increasingly complex application landscapes. Open-source automated testing tools address some of these challenges and do so with no licensing costs. However, they can create bottlenecks, consume developer time, and slow innovation with their lack of application coverage. Using a model-based test automation platform can enable scalable test automation, which has the potential to improve speed, reduce developer dependency, and support enterprise agility.

Tricentis Tosca is a model-based test automation platform designed to help organizations streamline functional, regression, and end-to-end testing across diverse applications. It can reduce reliance on coding, accelerate test creation and execution, and integrate with continuous integration/continuous delivery (CI/CD) pipelines to support continuous delivery. By simplifying maintenance and enabling broad coverage, Tosca can help organizations improve efficiency and quality at scale.

Tricentis commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying Tricentis Tosca after using open-source test automation tooling.1 The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of Tricentis Tosca on their organizations.

336%

Return on investment (ROI)

 

$2.2 million

Net present value (NPV)

 

To better understand the benefits, costs, and risks associated with this investment, Forrester interviewed five decision-makers with experience using Tosca after open-source test automation tools. For the purposes of this study, Forrester aggregated the experiences of the interviewees and combined the results into a single composite organization, which is a global organization with 20 testers (some of whom are developers), 40 million employees, and an annual revenue of $20 billion.

Interviewees said that prior to using Tosca, their organizations leveraged a patchwork of open-source tools. These tools had limited breadth in terms of application types and testing types, limiting integration and end-to-end testing capabilities. Because they were script-based, these tools required extensive developer time to develop, maintain, and fix scripts across all testing cycles. Limited automation across applications meant QA professionals at the interviewees’ organizations were required to run manual tests for a majority of test cases. Extended development and maintenance windows meant end users received limited application updates annually.

After the investment in Tosca, the interviewees’ organizations modernized their application testing and application development practices more broadly. Key results from the investment include freeing developer resources from testing workstreams, which enabled them to work on innovation projects and improve time to value for key strategic initiatives; increasing automation rates, which drove down testing cycle time, the number of application bugs and code errors, the costs of fixing such errors, and the amount of manual testing done by QA professionals; and the release of more application updates annually, improving the efficiency of the broad end-user base of these applications and the overall security posture of the organizations.

Key Findings

Quantified benefits. Three-year, risk-adjusted present value (PV) quantified benefits for the composite organization include:

  • Reduced reliance on developer testers by up to 100%. By reducing the need for developers to write and maintain test scripts, Tosca enables the composite organization to reallocate highly skilled developer resources to higher-value work such as new application development and AI-driven initiatives. This shift allows teams to accelerate innovation projects without increasing headcount, creating measurable productivity gains and strategic impact. For the composite organization, reallocating its developer testers is worth a net present value of $1.5 million.

  • Expanded test automation by 30 percentage points. Due to Tosca’s breadth of application type coverage and the ease of using its model-based, no-code interface to create automations, the composite moves from 40% test automation to 70% test automation, reducing manual testing by 50%. This results in a net present value of $316,000.

  • Increased business value from more releases of up to $619,000 annually. Tosca’s automation helps speed up the testing and development cycles for the composite organization, allowing it to release more application updates throughout the year. Each new update improves the efficiency of employees by an estimated 2% for a total net present value of $990,000.

Unquantified benefits. Benefits that provide value for the composite organization but are not quantified for this study include:

  • AI-enhanced testing. For the composite organization, Tosca’s AI capabilities, such as Vision AI and self-healing, reduce the brittleness of test scripts and eliminate the need for constant manual updates when applications changed. These features contribute to the quantified benefits of improved automation and release rates to an unquantified degree.

  • Improved security. With the new speed of releases brought about by Tosca and increased automation, the composite organization is able to keep pace with the release rates of its third-party SaaS vendors. This enables it to improve the overall security of its technology stack by consistently deploying the latest security updates.

Costs. Three-year, risk-adjusted PV costs for the composite organization include:

  • Tricentis fees. The composite incurs fees from Tricentis that are associated with implementation services and ongoing licensing costs. In total, the composite incurs a net present value of $248,000 for such costs.

  • Costs of deployment and ongoing administration. The composite also incurs time costs associated with the deployment and ongoing administration of Tosca, as well as training Tosca users. In total, the composite incurs a net present value of $398,000 for such costs.

The financial analysis that is based on the interviews found that a composite organization experiences benefits of $2.8 million over three years versus costs of $646,000, adding up to a net present value (NPV) of $2.2 million and an ROI of 336%.

“Tricentis Tosca helps us be more competitive. We’re now able to sell software-based add-ons along with our devices, and we can go to market with these faster than before.”

Test manager, life sciences

Key Statistics

336%

Return on investment (ROI) 

$2.8 million

Benefits PV 

$2.2 million

Net present value (NPV) 

8 months

Payback 

Benefits (Three-Year)

[CHART DIV CONTAINER]
Business value of freed developer resources Expanded testing automation coverage Business value of testing

The Tricentis Tosca Customer Journey After Open-Source Test Automation Tools

Drivers leading to the Tosca investment after open-source test automation tools

Interviews

Role Industry Region Total Employees
QA lead Financial services North America 8,500
Director of quality engineering Data storage Global 51,000
Automation architect Telecommunications Global 90,000
Test manager Life sciences Global 125,000
Head of testing Software and services Global 225,000

Key Challenges

Before migrating to Tricentis Tosca, the interviewees’ organizations all used some form of open-source test automation software. The use of open-source software for test automation came with financial trade-offs that were rational in early stages of test automation but made less sense as test automation grew in importance and scale.

Interviewees noted how their organizations struggled with common challenges, including:

  • High maintenance costs. Interviewees noted that although ostensibly free, open-source test automation tools’ lack of licensing costs were outweighed by high upkeep costs. Test scripts required skilled developers to write. Human-written test scripts were fragile, requiring constant rewriting and debugging whenever applications changed, or breaking frequently with such changes. This created significant delays and cost overruns for the interviewees’ organizations. The QA lead from a financial services organization said: “Every minor change meant hours of script updates. We were spending more time fixing tests than running them.” This maintenance burden slowed release cycles and diverted resources from innovation.

  • Fragmented tool landscape and lack of integration. According to interviewees, open-source test automation tools were also limited in their breadth of applicability. A single tool would only work for a limited set of application types, leaving the interviewees’ organizations struggling with a patchwork of test automation tools across web applications, mobile applications, and enterprise applications. This created inefficiencies, poor visibility, and limited integration. The test manager from a life sciences organization explained: “We had [one tool] for mobile applications, [another tool] for APIs, and [another] for enterprise-scale applications — and none of them talked to each other. Reporting was a nightmare.”

  • Limited scalability and coverage. For the interviewees’ organizations, not only did tool fragmentation mean higher labor burdens related to reporting, but it also meant test automation coverage was limited and scaling test automation for CI/CD pipelines was difficult to nearly impossible. In the end, for some interviewees’ organizations, the use of open-source tools for test automation was self-defeating. The director of quality engineering from a data storage company noted: “Our automation wasn’t sustainable. The upkeep was so high that teams started reverting to manual testing.”

“We had no way to keep pace with application changes. Every sprint introduced breakages, and fixing scripts became a full-time job.”

QA lead, financial services

“Cross-application testing was nearly impossible. Each tool handled one piece, but nothing worked together for end-to-end coverage.”

Head of testing, software and services

Composite Organization

Based on the interviews, Forrester constructed a TEI framework, a composite company, and an ROI analysis that illustrates the areas financially affected. The composite organization is representative of the interviewees’ organizations, and it is used to present the aggregate financial analysis in the next section. The composite organization has the following characteristics:

  • Description of composite. The composite organization is a global business with 40,000 employees and $30 billion in annual revenue. It employs a team of 20 testers. The testing team currently uses open-source tooling for test automation. As such, 60% of the team consists of skilled automation engineers or developers and 40% consists of QA professionals. The team uses a patchwork of tools automating testing for different application types. While these tools come with no licensing costs, they require high maintenance effort and higher cost per hour due to their reliance on high-priced development resources. The composite organization has identified that their key strategic priority is reallocating its current pool of skilled automation developers away from testing and toward other automation and artificial intelligence projects. It therefore seeks out a tool that frees these developers from testing while continuing to advance its efforts in automating application testing.

  • Deployment characteristics. After a competitive RFP process, the composite selects Tricentis Tosca for its model-based, no-code interface, which the composite’s management hopes will extend its automation efforts without the need for heavy development, and for its application breadth, which the composite’s management hopes will centralize the organization’s test automation and application testing process onto a single platform. The composite starts with a limited number of seats and quickly finds that it can begin winding down its use of open-source tools, with 25% of such tools replaced in Year 1, 75% by Year 2, and 100% by Year 3. Test automation coverage expands well beyond the 40% of test cases automated by the composite’s prior open-source tools to a total of 70% of test cases covered and growing.

Model Assumptions For The Composite Organization

Ref. Metric Source Year 1 Year 2 Year 3
R1 Total employees Composite 40,000 40,000 40,000
R2 Total testers at Tosca deployment Interviews 20 20 20
R3 Developers as a percentage of total testers Composite 60% 60% 60%
R4 QA professionals as a percentage of total testers Composite 40% 40% 40%
R5 Fully burdened annual salary for a developer working on test automation Composite $175,000 $175,000 $175,000
R6 Fully burdened annual salary for a QA professional Composite $110,000 $110,000 $110,000
R7 Percentage of open-source tools replaced Composite 25% 75% 100%
R8 Percentage of application test cases automated before Tricentis Tosca Interviews 40% 40% 40%

Analysis Of Benefits

Quantified benefit data as applied to the composite

Total Benefits

Ref. Benefit Year 1 Year 2 Year 3 Total Present Value
Atr Business value of freed developer resources $236,250 $708,750 $945,000 $1,890,000 $1,510,509
Btr Expanded testing automation coverage $49,500 $148,500 $198,000 $396,000 $316,488
Ctr Business value of testing $154,800 $464,400 $619,200 $1,238,400 $989,743
  Total benefits (risk-adjusted) $440,550 $1,321,650 $1,762,200 $3,524,400 $2,816,740

Business Value Of Freed Developer Resources

Evidence and data. Interviewees shared that after migrating to Tricentis Tosca, their organizations reduced their reliance on skilled developers for testing and test automation workstreams. With Tosca’s model-based, no-code interface, their teams no longer needed developers to write and maintain complex scripts for open-source frameworks. This shift freed the interviewees’ organizations to reassign their high-cost automation development resources away from application testing to other strategic priorities such as new feature development and modernization projects. Interviewees emphasized that this reallocation was a critical enabler for accelerating digital transformation and improving time to market for new products.

The head of testing from a software and services organization explained: “Before Tosca, developers were spending up to 20% of their time fixing brittle automation scripts. Now, that time goes into building new automation and AI capabilities.” Similarly, the director of quality engineering from a data storage firm noted, “We eliminated the need for developers in test automation completely. That freed up budget and talent for innovation.”

Modeling and assumptions. For the composite organization, Forrester models:

  • Sixty percent of the testing team’s members are automation developers.

  • The percentage of developers reallocated each year is equal to the percentage of test cases Tricentis Tosca handles instead of open-source tools.

  • The average fully burdened annual salary for an automation developer is $175,000.

  • Automation developers recapture 50% of their time productively as they make the switch from testing automation to working on other automation and artificial intelligence projects.

Risks. The total value of freeing developers to work on high priority projects will vary with:

  • The speed at which an organization deploys Tricentis Tosca.

  • The comfort level the organization has in winding down its open-source tooling in favor of Tosca.

  • The number of developers reallocated after migrating to Tosca.

  • The average fully burdened annual salary of these developers.

  • The ability of reallocated developers to be fully productive in their new roles.

  • The end value of the new work added by these reallocated developers (not modeled here).

Results. To account for these risks, Forrester adjusted this benefit downward by 10% yielding a three-year, risk-adjusted total PV (discounted at 10%) of $1.5 million.

“Our developers were constantly pulled into fixing automation scripts. Tosca eliminated that dependency, so now those same developers focus entirely on delivering new business capabilities.”

Test manager, life sciences

Business Value Of Freed Developer Resources

Ref. Metric Source Year 1 Year 2 Year 3
A1 Developers delivering testing work before Tricentis Tosca R2*R3 12 12 12
A2 Percentage of developers reallocated to nontesting workstreams Interviews 25% 75% 100%
A3 Fully burdened annual salary for a developer R5 $175,000 $175,000 $175,000
A4 Productivity recapture rate TEI methodology 50% 50% 50%
At Business value of freed developer resources A1*A2*A3*A4 $262,500 $787,500 $1,050,000
  Risk adjustment ↓10%      
Atr Business value of freed developer resources (risk-adjusted)   $236,250 $708,750 $945,000
Three-year total: $1,890,000 Three-year present value: $1,510,509

Expanded Testing Automation Coverage

Evidence and data. Interviewees emphasized that adopting Tosca significantly expanded their organizations’ automation capabilities and accelerated every stage of the testing process. Prior to Tosca, automation coverage was limited — often between 25% to 40% — due to the complexity of scripting, a dearth of coverage, and a lack of integration with open-source tooling. Interviewees reported that after switching to Tosca, automation rates climbing to between 70% to 90%, enabling their organizations to replace large portions of manual testing with automated executions.

The QA lead from a financial services organization shared, “We went from automating less than half of our regression suite to nearly full coverage.” Similarly, the test manager from a life sciences firm noted, “Tosca allowed us to automate scenarios we never thought possible when we used [open-source tools].”

Beyond coverage, Tosca’s model-based, no-code approach reduced the time required to create new test cases at the interviewees’ organizations from days to hours. Interviewees reported that what previously took between three to five days for developers to script for open-source tools could now be completed in 3 to 6 hours with Tosca. The automation architect from a telecommunications organization explained: “Creating new tests is no longer a bottleneck. We can respond to business changes almost immediately.”

Interviewees said test maintenance work also reduced with Tricentis Tosca. Open-source tools required their teams to spend significant time updating scripts for application changes, often dedicating entire sprints to maintenance. Interviewees reported that Tosca’s self-healing and reusable test blocks reduced this effort by between 60% and 70%, freeing testers to focus on new coverage rather than fixing broken scripts.

Additionally, regression testing cycles improved at interviewees’ organizations. Interviewees reported cutting regression runs from between three to eight weeks down to one week or less, even for complex enterprise-level application environments. The automation architect for a telecommunication business said: “Regression cycles that used to block releases for weeks now run in parallel and finish in days. It completely changed how we plan sprints.”

Finally, increased automation and earlier defect detection reduced code errors in production at the interviewees’ organizations. Interviewees highlighted that automated tests had less defects and caught those defects that did exist earlier in the cycle, lowering the cost and risk of late-stage fixes. The head of testing from a software and services organization summarized: “Automation isn’t just about speed — it’s about quality. We’ve seen a measurable drop in production defects since Tosca.”

By expanding automation coverage, accelerating test creation, simplifying maintenance, and shortening regression cycles, Tosca enabled the interviewees’ organizations to execute faster with fewer errors and at a lower cost.

Modeling and assumptions. For the composite organization, Forrester models:

  • Forty percent of the testing team is composed of QA professionals.

  • Automation covers 40% of application test cases before migration to Tosca.

  • Automation test coverage increases to 70% after migrating to Tosca.

  • This automation increase results in a 50% reduction in manual testing done by QA professionals. Before Tosca, 60% of test cases were manual. With Tosca, only 30% of the test cases are manual.

  • The average fully burdened annual salary for a QA professional is $110,000.

  • The actual reduction in manual work done by QA professionals is limited to the percentage of open-source tools that are wound down.

  • QA professionals recapture 50% of their time productively after their manual testing work is reduced.

Risks. The value of increasing application test automation will vary with:

  • The number of QA professionals on the testing team.

  • The current automation rate and the automation rate increase from Tricentis Tosca.

  • The result of this increased automation on the reduction in manual testing done by QA professionals.

  • The comfort of the organization with winding down its prior open-source tooling.

  • The fully burdened annual salary for QA professionals.

  • The ability for QA professionals to recapture their time productively.

Results. To account for these risks, Forrester adjusted this benefit downward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $316,000.

30 percentage points

Higher rate of test automation

50%

Reduction in manual testing

“We jumped from partial automation to nearly full coverage. Tosca made it possible to automate complex workflows that were out of reach before.”

Head of testing, software and services

Expanded Testing Automation Coverage

Ref. Metric Source Year 1 Year 2 Year 3
B1 QA professionals R2*R4 8 8 8
B2 Automation rate before Tricentis Tosca R8 40% 40% 40%
B3 Automation rate with Tricentis Tosca Interviews 70% 70% 70%
B4 Reduction in tester workload from automation (1-B2)/(1-B3) 50% 50% 50%
B5 Fully burdened annual salary for a QA tester R6 $110,000 $110,000 $110,000
B6 Benefit ramp rate Composite 25% 75% 100%
B7 Productivity recapture rate TEI methodology 50% 50% 50%
Bt Expanded testing automation coverage B1*B4*B5*B6*B7 $55,000 $165,000 $220,000
  Risk adjustment ↓10%      
Btr Expanded testing automation coverage (risk-adjusted)   $49,500 $148,500 $198,000
Three-year total: $396,000 Three-year present value: $316,488

Business Value Of Testing

Evidence and data. With shortened testing cycle length and less maintenance work from improved automation, the interviewees’ organizations found that they could test more and also release more often. Interviewees reported that after adopting Tosca, their organizations moved to shorter, more agile release cadences without increasing headcount or compromising quality.

The test manager from a life sciences firm shared: “We used to plan releases around testing bottlenecks. Now, testing fits into the sprint instead of dictating it.” Similarly, the automation architect from a telecommunications organization explained: “Tosca gave us the confidence to release every two weeks. That was unheard of before.”

Several factors drove the improvement to release windows for the interviewees’ organizations:

  • Continuous integration enablement. Tosca’s integration with CI/CD pipelines allowed automated tests to run as part of every build, eliminating delays caused by manual validation.

  • Parallel execution at scale. Interviewees’ organizations leveraged Tosca’s distributed execution to run thousands of tests simultaneously across virtual environments, reducing end-to-end test cycles from days to hours.

  • Risk reduction through automation. Higher automation coverage meant fewer manual steps and less variability, enabling teams at the interviewees’ organizations to push incremental updates without waiting for full regression cycles.

  • Faster feedback loops. Automated tests provided near-instant feedback on code changes, allowing defects to be addressed early and reducing the risk of late-stage failures.

The interviewees agreed that faster releases improved the value of testing for application end users — often their organizations’ wider employee base. The automation architect from a telecommunications industry said: “Reducing release cycles improved productivity across the board. People can use the latest tools without delays.” The head of testing from a software and services organization reported: “Employees aren’t stuck waiting for fixes anymore. Faster releases mean they get new features and bug resolutions almost immediately.” The QA lead in financial services concluded: “Our business teams used to wait weeks for updates. Now, they have new functionality in days, which keeps their workflows moving.”

Modeling and assumptions. For the composite organization, Forrester models:

  • Prior testing cycles for impacted applications run 2.5 weeks, or 100 working hours, on average.

  • On average, testing cycles are reduced by 43%, resulting in a new testing cycle average length of 57 hours.

  • This gives end-user employees 43 additional hours with updated, newly released software and means that 15 additional software releases occur annually with Tosca. Before Tosca, nearly 21 releases were completed each year. With Tosca, this value is nearly 37. The number of additional software releases annually is rounded down due to annual limitation.

  • Each release is estimated to impact an average of 20% of total employees and results in an efficiency increase of 2% per impacted employee.

  • The fully burdened hourly rate for an impacted employee is $40.

  • The ability to increase employee efficiency is directly related to the decommissioning of open-source tooling in favor of Tricentis Tosca.

  • The average employee recaptures 20% of the time saved by each impacted release.

Risks. The improved business value of testing from more releases will vary with:

  • The average time to release impacted applications before Tosca and the resulting delta in time to release with Tosca.

  • The organization’s comfort level in releasing more often due to reduced testing times.

  • The average number of employees impacted by each new release.

  • The efficiency improvement of each release for the average impacted employee.

  • The fully burdened rate for general employees.

  • The organization’s rate of replacing open-source tooling with Tricentis Tosca.

  • The ability of employees to recapture their time productively.

Results. To account for these risks, Forrester adjusted this benefit downward by 25%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $990,000.

43%

Reduced time to release

75%

Increase in number of releases annually

“We no longer hold back features for fear of testing delays. Tosca made rapid releases a reality.”

Head of testing, software and services

Business Value Of Testing

Ref. Metric Source Year 1 Year 2 Year 3
C1 Prior time to release (hours) Interviews 100 100 100
C2 Reduction in time to release Interviews 43% 43% 43%
C3 New time to release (hours) Interviews 57 57 57
C4 Added time with new releases (hours) C1-C3 43 43 43
C5 New releases per year Composite 15 15 15
C6 Employees impacted per release Composite 8,000 8,000 8,000
C7 Average efficiency improvement per impacted employee per release Composite 2% 2% 2%
C8 Fully burdened hourly rate for an impacted employee Composite $40 $40 $40
C9 Benefit ramp rate TEI methodology 25% 75% 100%
C10 Productivity recapture rate TEI methodology 20% 20% 20%
Ct Business value of testing C4*C5*C6*C7*C8*C9*C10 $206,400 $619,200 $825,600
  Risk adjustment ↓25%      
Ctr Business value of testing (risk-adjusted)   $154,800 $464,400 $619,200
Three-year total: $1,238,400 Three-year present value: $989,743

Unquantified Benefits

Interviewees mentioned the following additional benefits that their organizations experienced but were not able to quantify:

  • AI-enhanced testing. Interviewees noted that Tosca’s AI capabilities, such as Vision AI and self-healing, delivered significant improvements over their prior open-source tools. These features reduced the brittleness of test scripts and eliminated the need for constant manual updates when applications changed. For example, the automation architect from a telecommunications organization shared: “Self-healing alone saved us countless hours. We no longer scramble to fix tests after every UI tweak.” Interviewees noted that AI-driven object recognition also enabled automation for dynamic and nonstandard interfaces that were previously impossible to script. The head of testing from a software and services company explained: “Vision AI allowed us to automate screens that [our open-source tooling] couldn’t touch. That opened up coverage across critical workflows.”

  • Improved security. Interviewees confirmed that aligning testing speed with application release cycles strengthened security and compliance. Before Tosca, slow regression cycles delayed critical patches and updates at their organizations, leaving systems exposed. After adopting Tosca, their organizations could validate and deploy security fixes within days instead of weeks. The test manager from a life sciences firm said: “We no longer have a gap between development and testing. Security patches go live as soon as they’re ready.” Faster testing also ensured that compliance requirements were met without sacrificing agility. The director of quality engineering from a data storage company explained: “Regulatory updates used to derail our timelines. Now, we implement and validate changes immediately, reducing risk.”

“AI features made automation sustainable. Without them, we’d still be stuck in a cycle of break-fix.”

QA lead, financial services

“Keeping testing in lockstep with releases means vulnerabilities don’t linger. That’s a huge win for security.”

Head of testing, software and services

Flexibility

The value of flexibility is unique to each customer. There are multiple scenarios in which a customer might implement Tosca after open-source test automation tools and later realize additional uses and business opportunities, including:

  • Time to market. The interviewees reported that via shorter testing cycles and improved rates of release, their organizations also improved competitiveness, supported digital transformation, and could respond quickly to market and regulatory demands. The head of testing from a software and services organization said, “We can now deliver features every sprint instead of waiting for quarterly releases. That agility is critical for staying ahead in our market.” The automation architect from a telecommunications organization confirmed, “Speeding up releases wasn’t just about IT — it enabled the business to accelerate its digital roadmap and respond to customer demands faster.”

  • Center of excellence (COE). The interviewees also discussed how incorporating Tricentis Tosca into their test automation workflows modernized development practices more broadly and opened the possibility to develop an application testing COE due to Tosca’s role in driving unified strategy and best practices. The director of quality engineering from a data storage company said: “Our regression cycle dropped from weeks to days. That’s how we unlocked continuous delivery.” The automation architect from a telecommunications organizations explained, “[Thanks to Tosca’s end-to-end testing capabilities], we formed a center of excellence to define naming conventions, branching policies, and governance standards, ensuring consistency across markets.”

Flexibility would also be quantified when evaluated as part of a specific project (described in more detail in Total Economic Impact Approach).

“Tosca is not just about automating tests — it’s enabling us to accelerate ERP [enterprise resource planning] updates, improve quality across global workflows, and unlock faster time to market for new features. It’s become a critical part of our digital transformation strategy.”

Automation architect, telecommunications

Analysis Of Costs

Quantified cost data as applied to the composite

Total Costs

Ref. Cost Initial Year 1 Year 2 Year 3 Total Present Value
Dtr Tricentis fees $52,500 $78,750 $78,750 $78,750 $288,750 $248,340
Etr Costs of deployment and ongoing administration $87,647 $124,724 $124,724 $124,724 $461,819 $397,817
  Total costs
(risk-adjusted)
$140,147 $203,474 $203,474 $203,474 $750,569 $646,157

Tricentis Fees

Evidence and data. Interviewees reported costs from Tricentis included fees for implementation services and ongoing licensing fees. Tricentis implementation fees are based on product, license, and scope. Licensing fees are based on the number of users, including virtual users.

Modeling and assumptions. For the composite organization, Forrester models:

  • Implementation services costs of $50,000.

  • Ongoing licensing costs of $75,000 annually.

Risks. Total Tricentis fees will vary with:

  • The breadth of Tosca deployment and the timing of any expansion of Tosca use.

  • The number of seats required to implement the desired scope of testing automation.

Results. To account for these risks, Forrester adjusted this cost upward by 5%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $248,000.

“The cost is justified because Tosca helps us accelerate testing by 60%, reduce release time by 15% to 20%, and improve quality by 40%. That impact far outweighs the licensing fees.”

Head of testing, software and services

Tricentis Fees

Ref. Metric Source Initial Year 1 Year 2 Year 3
D1 Implementation fees Tricentis $50,000 $0 $0 $0
D2 Licensing fees for Tosca Tricentis $0 $75,000 $75,000 $75,000
Dt Tricentis fees D1+D2 $50,000 $75,000 $75,000 $75,000
  Risk adjustment ↑5%        
Dtr Tricentis fees (risk-adjusted)   $52,500 $78,750 $78,750 $78,750
Three-year total: $288,750 Three-year present value: $248,340

Costs Of Deployment And Ongoing Administration

Evidence and data. Interviewees shared incurring internal costs for Tosca adoption tied to resource allocation rather than external fees. Migration work varied from between one month and eight months depending on the size of the testing group and breadth of applications needing coverage.

Interviewees also noted that ongoing administration also required dedicated resources. The head of testing from a software and services company said, “We have about five people spending 20% of their time on Tosca administration.” These internal efforts were seen as essential for sustaining automation coverage, managing updates, and ensuring compliance with DevOps pipelines. Training incurred additional time costs. The head of testing in software and services noted, “It took two to three months for developers and testers to ramp up.”

For best practices, the director of quality engineering from a data storage company highlighted the importance of training in getting value from Tosca: “Before Tosca, we needed 10 to 12 manual testers for patch testing. Now, with Tosca, four to five automation specialists handle the same workload — but initial training was critical.” The head of testing in software and services shared best practices that included “running train-the-trainer programs and on-demand portals to drive adoption.”

Modeling and assumptions. For the composite organization, Forrester models:

  • Two QA professional FTEs work full-time for 2.5 months on deploying Tosca.

  • One QA professional FTE is needed to manage Tosca on an ongoing basis.

  • All 20 testers are trained in Tosca at the start, with two additional testers trained each year to account for team attrition and replacement.

Risks. The time costs associated with deployment, ongoing administration, and training will vary with:

  • The scope of the Tosca deployment.

  • The number of testers needing training.

Results. To account for these risks, Forrester adjusted this cost upward by 10%, yielding a three-year, risk-adjusted total PV (discounted at 10%) of $398,000.

Costs Of Deployment And Ongoing Administration

Ref. Metric Source Initial Year 1 Year 2 Year 3
E1 FTEs working on implementation and deployment Interviews 2 0 0 0
E2 Time to implement and deploy (months) Interviews 2.5 0 0 0
E3 Subtotal: Implementation effort cost E1*E2*R6/12 $45,833 $0 $0 $0
E4 FTEs needed to manage Interviews 0 1 1 1
E5 Subtotal: Management effort cost E4*R6 $0 $110,000 $110,000 $110,000
E6 FTEs needing training Composite 20 2 2 2
E7 Time spent training (hours) Interviews 32 32 32 32
E8 Subtotal: Training effort cost E6*E7*R6/2,080 $33,846 $3,385 $3,385 $3,385
Et Costs of deployment and ongoing administration E3+E5+E8 $79,679 $113,385 $113,385 $113,385
  Risk adjustment ↑10%        
Etr Costs of deployment and ongoing administration (risk-adjusted)   $87,647 $124,724 $124,724 $124,724
Three-year total: $461,819 Three-year present value: $397,817

Financial Summary

Consolidated Three-Year, Risk-Adjusted Metrics

Cash Flow Chart (Risk-Adjusted)

[CHART DIV CONTAINER]
Total costs Total benefits Cumulative net benefits Initial Year 1 Year 2 Year 3

Cash Flow Analysis (Risk-Adjusted)

  Initial Year 1 Year 2 Year 3 Total Present Value
Total costs ($140,147) ($203,474) ($203,474) ($203,474) ($750,569) ($646,157)
Total benefits $0 $440,550 $1,321,650 $1,762,200 $3,524,400 $2,816,740
Net benefits ($140,147) $237,076 $1,118,176 $1,558,726 $2,773,831 $2,170,583
ROI           336%
Payback           8 months

 Please Note

The financial results calculated in the Benefits and Costs sections can be used to determine the ROI, NPV, and payback period for the composite organization’s investment. Forrester assumes a yearly discount rate of 10% for this analysis.

These risk-adjusted ROI, NPV, and payback period values are determined by applying risk-adjustment factors to the unadjusted results in each Benefit and Cost section.

The initial investment column contains costs incurred at “time 0” or at the beginning of Year 1 that are not discounted. All other cash flows are discounted using the discount rate at the end of the year. PV calculations are calculated for each total cost and benefit estimate. NPV calculations in the summary tables are the sum of the initial investment and the discounted cash flows in each year. Sums and present value calculations of the Total Benefits, Total Costs, and Cash Flow tables may not exactly add up, as some rounding may occur.

From the information provided in the interviews, Forrester constructed a Total Economic Impact™ framework for those organizations considering an investment in Tosca after open-source test automation tools.

The objective of the framework is to identify the cost, benefit, flexibility, and risk factors that affect the investment decision. Forrester took a multistep approach to evaluate the impact that Tosca after open-source test automation tools can have on an organization.

Due Diligence

Interviewed Tricentis stakeholders and Forrester analysts to gather data relative to Tosca after open-source test automation tools.

Interviews

Interviewed five decision-makers at organizations using Tosca after open-source test automation tools to obtain data about costs, benefits, and risks.

Composite Organization

Designed a composite organization based on characteristics of the interviewees’ organizations.

Financial Model Framework

Constructed a financial model representative of the interviews using the TEI methodology and risk-adjusted the financial model based on issues and concerns of the interviewees.

Case Study

Employed four fundamental elements of TEI in modeling the investment impact: benefits, costs, flexibility, and risks. Given the increasing sophistication of ROI analyses related to IT investments, Forrester’s TEI methodology provides a complete picture of the total economic impact of purchase decisions. Please see Appendix A for additional information on the TEI methodology.

Total Economic Impact Approach

Benefits

Benefits represent the value the solution delivers to the business. The TEI methodology places equal weight on the measure of benefits and costs, allowing for a full examination of the solution’s effect on the entire organization.

Costs

Costs comprise all expenses necessary to deliver the proposed value, or benefits, of the solution. The methodology captures implementation and ongoing costs associated with the solution.

Flexibility

Flexibility represents the strategic value that can be obtained for some future additional investment building on top of the initial investment already made. The ability to capture that benefit has a PV that can be estimated.

Risks

Risks measure the uncertainty of benefit and cost estimates given: 1) the likelihood that estimates will meet original projections and 2) the likelihood that estimates will be tracked over time. TEI risk factors are based on “triangular distribution.”

Financial Terminology

Present value (PV)

The present or current value of (discounted) cost and benefit estimates given at an interest rate (the discount rate). The PV of costs and benefits feed into the total NPV of cash flows.

Net present value (NPV)

The present or current value of (discounted) future net cash flows given an interest rate (the discount rate). A positive project NPV normally indicates that the investment should be made unless other projects have higher NPVs.

Return on investment (ROI)

A project’s expected return in percentage terms. ROI is calculated by dividing net benefits (benefits less costs) by costs.

Discount rate

The interest rate used in cash flow analysis to take into account the time value of money. Organizations typically use discount rates between 8% and 16%.

Payback

The breakeven point for an investment. This is the point in time at which net benefits (benefits minus costs) equal initial investment or cost.

Appendix A

Total Economic Impact

Total Economic Impact is a methodology developed by Forrester Research that enhances a company’s technology decision-making processes and assists solution providers in communicating their value proposition to clients. The TEI methodology helps companies demonstrate, justify, and realize the tangible value of business and technology initiatives to both senior management and other key stakeholders.

Appendix C

Endnotes

1 Total Economic Impact is a methodology developed by Forrester Research that enhances a company’s technology decision-making processes and assists solution providers in communicating their value proposition to clients. The TEI methodology helps companies demonstrate, justify, and realize the tangible value of business and technology initiatives to both senior management and other key stakeholders.

Disclosures

Readers should be aware of the following:

This study is commissioned by Tricentis and delivered by Forrester Consulting. It is not meant to be used as a competitive analysis.

Forrester makes no assumptions as to the potential ROI that other organizations will receive. Forrester strongly advises that readers use their own estimates within the framework provided in the study to determine the appropriateness of an investment in Tosca after open-source test automation tools.

Tricentis reviewed and provided feedback to Forrester, but Forrester maintains editorial control over the study and its findings and does not accept changes to the study that contradict Forrester’s findings or obscure the meaning of the study.

Tricentis provided the customer names for the interviews but did not participate in the interviews.

Consulting Team:

Nick Mayberry

Published

August 2026

The Total Economic Impact™ Of Tricentis Tosca After Open-Source Test Automation Tools