7 Software Development Testing Trends to Watch Out in 2021

In today’s era as technology is evolving, the software development and the testing world is also innovating ways to incorporate emerging technologies such as Artificial intelligence, Machine Learning, big data, etc. to provide quality software to customers. IT enterprises must keep pace with the emerging software testing trends to keep innovating processes and stay at par with technological innovations.


We have curated a list of Top 10 software testing trends that you should watch out in 2021.

1. Test Automation to lead the way for Agile & DevOps

With the latest Agile and DevOps processes on the go that brings in faster and quality releases, many enterprises continue to leverage and adopt test automation. Undoubtedly, test automation has already penetrated the industry in testing repetitive tasks quickly and efficiently. With DevOps substantiating proper collaboration between all allied departments of Dev and Ops, test automation tools continue to lead the software testing space. The proper usage of test automation tools helps to achieve faster release cycles, better quality software and deliver’s quicker ROI.

According to Globenewswire – the global automation testing market is expected to grow up to USD 29,525.87 million by the end of 2025. This growth in the automation testing market is due to the increased importance of AI and ML in the testing process which helps to reduce the testing life cycle. Test Automation continues to dominate the software world as it helps to speed up the testing process, achieve faster feedback from the customer, increases the product quality, and helps to achieve faster delivery which is essential for achieving success in today’s highly competitive business environment.

Related:- How Document Management System Saves an Organizations Time

2. Usability Testing to lead the charts for user experience

With the rapid influx of mobile apps, especially the eCommerce, banking, insurance applications, etc. it has been seen that the significance of software testing has been witnessed more to effectively test these apps across operating systems, platforms, and devices, etc. Undoubtedly, today, mobile apps continue to be the major business enablers; an effective and great user interface with a streamlined usability flow is the need of the hour for all these apps. Mobile users continue to show a preference for apps that have great usability embedded in them. Poor usability can affect customer and brand loyalty; hence usability testing identifies all the flaws if any before the app is actually released into the market.

According to Statista – there are almost 2.87 million apps available on the Google play store followed by 1.96 million apps available on Apple’s App Store as of 3rd quarter of 2020. For an app to stand out in the crowd, the app should provide seamless navigation and user experience to end-users. With the increased usage of mobile apps, user experience continues to remain the primary focus for all businesses and enterprises. Therefore, usability testing continues to hold more importance in determining the success of an application as it helps in assessing the application’s navigation flow and ensures to deliver a seamless and great user experience for such usability tested apps.

Enterprises across industries continue to deal with huge data volumes and diverse data types. The mining of any amount of structured or unstructured data defined as Big data needs effective testing. Big data testing helps to make improved decisions with accurate data validations, and helps improve market targeting and business strategizing with informed decisions drawn from this big data analysis.

According to Globenewswire -The global big data market value is projected to grow from USD 138.9 billion in 2020 to USD 229.4 billion by 2025. This growth is due to the increased use of IoT devices in organizations, and due to the increased initiatives by the governments to enhance the usage of digital technology. Huge dependency on data across all industries requires effective big data testing to ensure quality, accuracy, and integrity of data that is essential for making informed decisions by all organizations. Specifically, big data testing helps to make data-driven decisions about various products & services which are captured and analyzed to deliver valuable insights to organizations.

4.  IoT Testing to boost digitally connected smart devices

It is expected that the number of connected devices will be more than 20 billion by 2020 when compared to the figure of just 6.4 billion during 2016. These figures represent the massive expansion and the need for an effective IoT testing strategy. This IoT testing includes the testing of operating systems, communication protocols, along with software and hardware of the IoT devices. Most enterprises have already started identifying the need for an effective IoT testing strategy to enable efficient and well-connected smart devices that are much needed for end-users.

Especially, testing for vulnerabilities in IoT devices is an emerging business need as IoT typically encompasses all products that are connected to the internet in one way or the other. IoT systems collect data while in usage from various interconnected devices and share information with their manufacturers without the users being aware of it. Further, manufacturers in their haste to get new design features for smart products continue to overlook the complications arising out of security concerns of the system’s software and hardware.

5. AI & ML in Testing to top the ladder

According to a leading research analyst, Artificial Intelligence (AI) will be omnipresent in all spheres of technological innovations. It will become the top investment priority of CIOs by 2020. The market for AI is expected to be around $6-7 billion in North America alone. Machine Learning (ML) and user interfaces such as speech recognition and gesture recognition will advance in the future. The prediction of various tasks based on complex neural networks and algorithms will change the outlook of technology and inevitably these AI & ML based applications also need rigorous testing and validations with proper use cases to become successful.

With the world completely moved towards digital transformation, there is a lot of pressure to balance market requirements and build a system that is predictive and scalable to cater to the future needs of the software. Primarily, software testing needs to embed AI into testing which perfectly imitates human behavior using machine learning and predictive analytics. Going forward for the upcoming latest applications in the connected world needs software testing to leverage AI and ML to automate.

According to Globenewswire – the global artificial intelligence market is expected to grow from $28.42 billion in 2019 to $40.74 billion in 2020 at a Compound Annual Growth Rate (CAGR) of 43.39%. The current pandemic has led to increased use of transformative technology including AI technology. There are many areas where AI-based technology is playing a vital role. AI-based robots are minimizing contacts between humans, especially contact tracing apps are one of the greatest examples that showcase the use of AI in healthcare which is widely being used today. Also, AI-enabled drone-based delivery will be the new trend in the upcoming years.

Related:- Benefits of Robotic Process Automation For Your Business

6. Blockchain Testing to usher more prominence

There is a rapid expansion of the virtual currency named as bitcoin’s usage. A recent report by McKinsey states that Blockchain is a nascent technology with the potential to bring about step-function improvements in financial transactions. Blockchain testing helps to enable smart contracts and ensures fraud protection.

Undoubtedly, blockchain technology has revolutionized the way businesses are dealing with digital currencies such as bitcoin. These blockchain applications are not limited to the financial world and their smart contracts are being used in every field of business from the energy sector to governmental services. The wide range of blockchain applications brings in new challenges to blockchain debugging. Moreover, once the smart contract is implemented, its execution cannot be reversed, and hence, smart contract codes define how seamlessly the software performs even with the increased workloads. Hence, this entire process of Blockchain testing calls for efficient outsourced next-gen specialized testing services, for debugging the code to deliver productive blockchain applications.

7. Cyber Security Testing to become foremost necessity

Undoubtedly with the digital revolution, there has been the emergence of various security threats. The CIOs of enterprises continue to realize the importance of security testing of their applications, network, and systems to ensure not only secure transactions but complete protection of their customers critical data. Thus, security testing has gained a lot of importance as it safeguards the brand loyalty and prevents economic losses.

According to Marketsandmarkets – It has been observed that post COVID-19, the global security testing market size is expected to grow from USD 6.1 billion in 2020 to USD 16.9 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 22.3% during the forecast period.

This growth in the security testing market is due to various factors such as increased cyberattacks during the pandemic, increased usage of web-apps, and mobile-apps requiring high-end security, increased focus of organizations towards protecting customer data, and also the increased initiatives by governments and organizations to adopt digitization. Moreover, it is also predicted that the rise in the cybersecurity testing market is likely to leverage the implementation of the latest technologies such as DevOps, DevSecOps, and Agile in the IT industry.

Related Post