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Stress testing is a software testing type that verifies reliability & stability of a system. This test mainly measures system on its error handling and robustness capabilities under enormously heavy load conditions. It is done to ensure system would not crash under situations of crisis. It tests beyond normal operating point to estimate how the system may work under extreme operating conditions. In the financial services industry, enterprise stress testing has turned into essential tool for managing systemic risk. It is not only preferred as supervisory tool across the globe, but institutions are also increasingly adopting these techniques and tools to update their business decisions. This solution delivers centralized workflow orchestration, strong analytical capabilities, robust data handling, and a solid governance & control environment.
Impact of COVID-19 on Stress Testing Solutions Market:
Increase in demand for mobile applications with advanced features is expected to drive the stress testing solutions market considerably in next few years. In addition, factors such as rise in adoption of mobile devices, need to ensure systems can handle extreme workloads, and adoption of test automation services are expected to majorly drive growth of the market. However, data management & data quality issues and uncertainties about easy availability of open-source stress testing tools restrain growth of the stress testing solutions market. On the other hand, adoption of agile test services is expected to be opportunistic for implementation of new methodologies for testing services.
The global stress testing market trends are as follows:
Surge in use of mobile applications has led to rise in demand for stress testing solutions to ensure proper functioning and performance of mobile applications. Stress testing solutions providers are moving toward mobile first strategy and increasing their investments in mobile application developments. Due to the short lifecycle of mobile applications as compared to web applications, mobile applications needs periodic testing.
With constant need for improved speed and efficiency of stress testing process, increase in adoption of AI and machine learning has been observed. AI-based solutions are major growth enablers for enhanced business performance. Testing solution providers are incorporating AI and machine learning technologies in their products to enhance functionalities such as improved accuracy, faster time to market, increase in scope & depth of test results, and reduction in complications of software testing. This trend is projected to have a positive effect on growth of the overall market.
Key benefits of the report:
Key Market Segments
Key Market Players