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Market research company Technavio has published a report estimating the test data management (TDM) market will grow by $761.92 million from 2021 to 2026. The growth momentum will be at a CAGR of 11.75%.
One of the key factors driving the growth of the market is enterprise automation. Businesses use aspects of TDM such as data generation, scripting, cloning, data masking, and provisioning for various applications. In software development, for instance, test data automation accelerates the delivery of rich, compliant data at real-time speeds. This allows testing teams to run functional tests for scenarios that would have been difficult to do due to data constraints. With test data automation, developers can test a software product’s ability to handle unusual, unexpected, and exceptional inputs. This also ensures the quality of the test results. TDM can save time, makes teams more efficient, and aids in detecting data errors on a continuous basis.
Another factor is the growing consumer spending on technological solutions. Consumers are also spending on technologies like cloud services, data analytics technologies, and digital twin simulations. TDM solutions make it easier to retrieve stored data, lower the costs of these technological services, and speed up their deployment.
The increasing use of IoT, machine learning, and artificial intelligence are also pushing the development of TDM solutions. Major industries such as automotive, energy and utilities, electronics, and healthcare are some of the high-demand users of TDM solutions. Meanwhile, the aerospace and defense industry uses TDM solutions to shorten product development time and save on financial costs and human resources.
Improving SaaS Applications Using Test Data
In today’s business landscape, businesses use multiple SaaS applications in their daily operations. This has made SaaS the most popular segment of public cloud spending. The demand is certainly rising and vendors need to keep up. This is where test data management solutions come into play.
Developers need to test software using a wide range of data. Everyone will agree that quality control is crucial when developing software. Testing and QA ensure the program is working as expected. After all, bugs and frequent downtimes are detrimental to the success of a SaaS product. They don’t only lead to lost customers but also degraded systems and serious malfunctions.
In the United States, for example, operational software failure cost organizations an estimated $1.56 trillion in 2020. Software failures could also potentially impact billions of users. To put things into perspective, there are about 14 billion SaaS customers globally.
But it’s not always easy to gather enough production data to conduct the necessary test scenarios. For example, software testers might require data from 500 customers that fit specific criteria to carry out a test scenario. However, the team might only have 200 production samples available. Test data creation and management can help testers generate missing data from the available samples while maintaining data integrity. This allows them to conduct any type of functional and non-functional testing.
Moreover, test data management tools can streamline key test management tasks. These include service virtualization, continuous testing, defect or bug tracking, configuration management, and metrics and reporting. The sooner developers can get feedback from tests, the sooner and better they can address issues.
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