Tricentis leads for Worldwide Automated Software Quality (ASQ) 2025 Market Share. Tricentis moves to ASQ revenue leader for CY 2025 as demand for AI assurance and agentic testing fuels market growth. AUSTIN, TX - July 24, 2026 - Tricentis, a global leader in agentic quality engineering, today announced it has shifted to the top revenue position for worldwide Automated Software Quality in CY 2025 by market share, according to leading IT market research and advisory firm IDC. The firm ranked Tricentis first by revenue among the top 20 vendors in its IDC Market Share: Worldwide Automated Software Quality Shares, 2025: Driving AI Assurance (doc # US53811526, June 2026). ASQ is defined as the technologies organizations use to test, validate, and assure software quality across the software development lifecycle (SDLC), spanning test automation, quality management, performance testing, code analysis, and emerging AI assurance capabilities. Tricentis advanced to the top ASQ 2025 share position by growing its automated software quality revenue, capturing 6.9% of the CY 2025 worldwide ASQ market revenue according to IDC. The IDC Market CY 2025 ASQ Share research noted that Tricentis launched AI Workspace and Agentic Quality Engineering platform (March 2026) with AI agents for test creation, automation, and performance testing. This analysis and positioning come after Tricentis announced it had delivered another record year of business, with approximately $500 million in ARR and 19% year-over-year growth, fueled by surging demand for AI-driven enterprise testing solutions. As enterprises increasingly prioritize AI assurance, agentic testing and quality engineering to support the rapid adoption of AI across the enterprise, the IDC Market Share estimates that the worldwide automated software quality market reached $6.3 billion in 2025, growing 12% year-over-year for the fifth consecutive year of double-digit growth. "As AI continues to reshape software development and quality, organizations need confidence they can trust the software they're delivering at the accelerated pace and scale their business demands," said Kevin Thompson, CEO at Tricentis. "This latest industry market share positioning is a testament not only to our long history of market leadership, but also to our vision and innovation to enable enterprises to move at AI speed while reducing risk and lowering cost." Additional resources IDC Methodology The IDC software market sizing and forecasts are presented in terms of commercial software revenue. IDC uses the term commercial software to distinguish commercially available software from custom software. Commercial software includes programs or code sets of any type that are commercially available through sale, lease, rental, or as a service. The worldwide software market includes all commercial software revenue across all functional markets or market aggregations. For further details, see IDC's Worldwide Software Taxonomy, 2026 (IDC #US54481925, April 2026). About Tricentis Tricentis is a global leader in agentic quality engineering. The Tricentis Agentic Quality Engineering Platform leverages the power of AI and decades of Tricentis technology and expertise to provide a new and fundamentally different way to ensure software quality across large and complex enterprise application environments. An approach that's totally automated, fully codeless, and intelligently driven by AI. It addresses both agile development and complex enterprise apps, enabling enterprises to accelerate their digital transformation by dramatically increasing software release speed, reducing costs, and improving software quality. Widely credited for reinventing software testing for DevOps, cloud, and enterprise applications, Tricentis has been recognized as a leader by all major industry analysts. Tricentis has more than 3,000 customers, including some of the globe's most respected brands such as Experian, T-Mobile, Jaguar Land Rover, Allianz, Telstra, Dolby, and VodafoneZiggo. To learn more, visit www.tricentis.com.

How Narwal.ai delivers scalable, automated quality engineering with Tricentis. Narwal.ai uses Tricentis to modernize enterprise QA, achieving 81% faster cycles, 95% automation coverage, and scalable continuous testing. Jul. 15, 2026 The challenges quickly became apparent as a clinical asset management and healthcare cybersecurity provider set out to scale its digital transformation. The U.S.-based organization was managing more than ten Agile value streams, each slowing its modernization efforts. A heavy reliance on manual testing resulted in inconsistent coverage and slow release cycles. At the same time, a shift from waterfall to Agile required QA to be integrated directly into development, while frequent ServiceNow upgrades created platform volatility. To overcome these issues, the provider turned to Narwal.ai, a Tricentis partner and IT services company specializing in AI, data, and quality engineering. Narwal.ai helped the organization move away from legacy testing practices and adopt a modern, high-velocity quality engineering model - taking an initial challenge and building it into a seven-year strategic partnership. A shift-left, no-code framework solution. Narwal.ai supports over 20 Fortune 500 companies and maintains a remarkable record of customer satisfaction. A six-time Tricentis Partner Award winner, most recently recognized as the 2026 AMS Data Integrity Partner of the Year, Narwal.ai excels at transforming complex testing environments into streamlined, automated powerhouses. Test automation in 2026 and beyond Hear from two Tricentis experts as they discuss what's next on Tosca's roadmap. Register for the webinar today. That's exactly what the company did for the clinical asset management and healthcare cybersecurity provider. It implemented an "automation first" ecosystem powered by the Tricentis platform, with a focus on three core areas: * Embedded QE engineers into Scrum teams to enable shift-left validation, allowing defects to be identified during the initial stages of development. * Implemented no-code automation utilizing Tricentis Tosca for functional testing and Tricentis NeoLoad for performance, automating more than 2,500 test scripts to ensure they were compatible with the new ServiceNow UI. * Established continuous testing with nightly automated execution and exploratory testing, providing real-time visibility into the health of all 10+ Agile value streams. The result was a scalable, future-proof testing model that helped the organization achieve an 81% reduction in QA cycle time. It reached 95% automation coverage and had zero defect leakage through the nightly automated test runs. Delivering value with the Narwal.ai and Tricentis partnership. Narwal.ai's relationship with Tricentis has evolved from an initial "customer" beginning into a strategic global partnership. Partnering with Tricentis has played a pivotal role in Narwal.ai's evolution into a quality engineering transformation partner. By leveraging the Tricentis ecosystem, Narwal.ai expanded its reach across industries such as healthcare, financial services, retail, and technology. The partnership delivers value through three core pillars: * Holistic platform expertise: Narwal.ai's certified consultants possess deep-bench experience across the entire Tricentis portfolio, including Tricentis Tosca, NeoLoad, qTest, LiveCompare, SeaLights, and Tosca Mobile. * Outcome-driven models: By moving organizations toward continuous testing models and utilizing model-based automation and risk-based testing, Narwal.ai enables significant reductions in manual effort and business risk. * Enterprise-scale QE modernization: From SAP and cloud migrations to AI-enabled digital platforms, Narwal.ai ensures that innovation is supported by a resilient infrastructure that delivers measurable performance outcomes. Enterprise modernization in action. Narwal.ai partnered with a leading agribusiness enterprise to modernize its testing approach and improve release confidence across a complex SAP landscape that supports critical supply chain, finance, and operational processes. The organization's SAP automation environment was constrained by outdated tooling, inconsistent test design, and limited execution scalability. Nearly 35% of automated test cases required manual intervention due to hardcoded data and lack of standardization. Test execution was dependent on local machines, restricting productivity and delaying regression cycles. To address these challenges, Narwal.ai implemented a modernization strategy centered on the Tricentis portfolio, including Tricentis Tosca for model-based functional automation and Tricentis Test Data Service (TDS) for dynamic test data management. Distributed execution capabilities were enabled through Tricentis DEX, allowing scalable, parallel testing across the SAP ecosystem. As a result, QA cycle time was reduced by approximately 60%, enabling faster and more predictable releases. Automation productivity increased significantly, with daily test execution capacity improving more than 2,000 tests - the majority completed within the first day of execution. Enhanced automation stability and data-driven testing helped identify and resolve over 140 functional defects, many of which were critical, reducing the risk of production issues. Expanded performance test coverage led to early identification of key system bottlenecks and contributed to faster operational processes. By combining the Tricentis platform with Narwal.ai's modernization framework, the organization established a resilient, scalable testing foundation capable of supporting ongoing SAP transformation initiatives with greater speed and reliability. 3 shifts in the era of autonomous and AI-powered testing. In 2026, autonomous and AI-powered testing is moving from experimentation to structural transformation. Narwal.ai is observing three critical shifts shaping how organizations approach quality engineering: * From "test coverage" to "risk assurance" With the explosion of AI-generated code, volume is no longer the metric of success relevance. Instead, the focus has shifted to risk-based quality engineering. Using AI-driven analytics, organizations can prioritize testing for business-critical "missions" rather than just checking off functional boxes, ensuring that even in rapid-release cycles, the most impactful areas are always protected. * From "script-heavy" to "agentic autonomy" Narwal.ai sees a move toward agentic AI where AI isn't just a tool to prompt, but a co-worker that acts autonomously. By integrating autonomous testing agents that manage routine validation tasks like regression and environment setup, it frees up human testers to focus on high-value work like exploratory testing, ethics, and bias validation. * From "deterministic" to "probabilistic" quality Traditional testing is built on "if X, then Y." However, AI-powered applications are probabilistic and can produce varying outputs. To address this, Narwal.ai is implementing observability-driven testing. It moves beyond simple pass/fail metrics to equip organizations with frameworks that monitor system health, detect "model drift," and use production signals to constantly refine the test strategy. Powering the future of quality engineering. Narwal.ai is prepared for the next phase of quality engineering: helping global enterprises transition from traditional automation practices to intelligent, scalable testing ecosystems that support continuous innovation. "The future of quality belongs to autonomous, risk-assured testing. Our award-winning partnership with Tricentis enables us to deploy intelligent platform ecosystems that predict risks, automates, and self-optimizes coverage. By combining Tricentis's Agentic Quality Engineering platform with Narwal.ai's proprietary QE accelerators and advanced AI-integrated offerings, we are setting a completely new standard for enterprise release confidence - transforming continuous validation from a goal into an autonomous reality." - Arul Murugan Mani, VP & Global Head of Quality Engineering, Narwal.ai As organizations accelerate cloud modernization, SAP transformation, and AI-driven delivery models, Narwal.ai is deepening its collaboration with Tricentis around autonomous testing, data integrity, and continuous validation frameworks. Together, Narwal.ai and Tricentis are enabling organizations to innovate with confidence, reduce transformation risk, and establish quality engineering as a strategic driver of growth in the AI-first era. The Tricentis Partner Spotlight Series highlights how its partners leverage the Tricentis suite of products to help customers achieve intelligent, continuous quality. If you're a partner and would like to be considered for the series, please contact your Tricentis partner manager. Tricentis testing solutions. Learn how to supercharge your quality engineering journey with its advanced testing solutions. Emily dalamangas. Date: Jul. 15, 2026 Freelance technology writer Emily is a writer covering software testing trends, quality engineering careers, and AI's impact on software development and testing for Tricentis.com. She has written extensively about B2B technology, including cybersecurity, data governance, Salesforce, and SaaS. She previously worked in marketing and communications for leading media companies.