quality engineering (3)

Emerging Trends In Quality Engineering

In recent years, digital adoption has accelerated because people require it and technology has advanced. As consumers who are digitally savvy demand customized products and services, quality engineering technologies such as test automation become even more important for delivering faster time-to-market, customized products, and an enhanced customer experience. 

According to Research and Markets, the global market for automation testing will grow from USD 20.7 billion in 2021 to USD 49.9 billion in 2026. This robust growth forecast demonstrates not only that new technologies such as AI and IoT are becoming more prevalent on the market, but also that an increasing number of businesses are employing these cutting-edge technologies to enhance the quality and performance of their core systems and drive business expansion.  

Here are four new trends and best practices to help you design your QE strategy so that you can maximize test automation and business outcomes:

Artificial intelligence-based analytics and test automation are increasing. Gartner predicts that by 2023, 40 percent of the infrastructure and operations teams of the world’s largest corporations will seek to enhance organizational efficiency through AI-augmented automation. Analytics based on artificial intelligence increase the number of tests executed, reduce the number of test cases and scripts, and automate defect investigation.  

With test automation, the majority of manual product testing can be eliminated. Consequently, less human administration and involvement is necessary. Greater software quality, reduced testing cycles, and a shortened time-to-market are provided by technologies powered by artificial intelligence. The resulting efficiency is a significant competitive advantage that will grow as the technology supporting test automation advances.  

Digital Experience

In the coming years, the digital transition will accelerate even further. According to Statista, global investments in digital transformation are expected to surpass $2.4 trillion by 2024. APIs, security, and end-to-end user testing are becoming increasingly important as the number of digital channels used to distribute consumer experiences increases.  

Developing Agile and DevOps methodologies to support continuous testing and CI/CD tools for higher quality and velocity goes hand-in-hand with enhancing digital user experiences. Digital transformation is essential not only for evaluating client experiences that generate ROI, but also for facilitating the expansion of “distributed Agile” that combines off-shore and on-shore delivery.  

Testing Center of Excellence (TcoE) Companies are modifying their TcoEs as Agile and digital technologies are increasingly adopted. Initially, TCoE structures were dependent on centralized testing delivery sites that were primarily concerned with functional testing. Organizations, on the other hand, have begun to migrate to shared delivery and competence centers that provide extended skills such as functional and non-functional testing, in addition to other technical services.  


These client-specific TCoEs include expertise in continuous testing and DevOps automation, mobile applications, cloud and application migration, and more. Ultimately, they aid in the formation of cross-functional teams that accelerate the testing cycle, reduce risks, and save money.  

Management of Test Data in the Cloud Businesses that have adopted digital transformation prefer to move their test environment and management to the cloud. The global market for integrated cloud management platforms is projected to reach $5.8 billion by 2027, according to Markets and Markets.  

Despite security concerns and difficulties in migrating from isolated legacy systems, businesses are increasingly selecting a hybrid public and private cloud solution for QA/QE testing. As artificial intelligence, IoT sensors, and other emerging technologies increase the capacity for data collection, cloud management platform solutions help organizations optimize data storage and analytics for strategic advantage and faster test results. For more information, please visit our website or contact our specialists directly.