With the latest developments in IT sector services, the sector of QA testing has seen significant improvement and growth. The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. With all of these processes in place, cost optimization is also a high concern for organizations worldwide.
Many changes are rendered through automated testing. From AI to ML, the shifting technology world is constantly innovating and making significant progress. Are you aware that the scale of the app testing industry in 2019 was over USD$ 40 billion? And is projected to rise by more than 6 percent at CAGR(Compound Annual Growth Rate) between 2020 and 2026?
Any organization recruits experienced testing agencies to comply with their specifications for software testing. In this mode, QA and testing costs are lower and in-house resources are not required. In the quality assurance and software testing domain, there are several trends that will be following in 2021.
Consequently, the greatest need is for all tech firms worldwide to adjust new test patterns to help them adapt to the demands of today’s advanced and competitive environment. You will track the developments for 2021 here at Testsigma and use Testsigma mobile automation tool for making testing easy and hassle-free.
Presently we know it is far from easy to forecast the future – all of us have discovered this in 2020 through major ups and downs. But in expectation of the big developments in tech trials for 2021, as we had forecast of last year for 2020, we are looking forward to renewed hope. Here is the list of software testing trends you need to look out for in 2021.
The usage by advanced techniques such as RPA, Artificial Intelligence, machine learning and process mining is a hyper-automated application that improves employees and automates operations in a way which is considerably more efficient than conventional automation.
Gartner’s 2020 projections first included the trend of hyperautomation. A lot has now improved, if only because companies, in reaction to the COVID-19 crisis, are expanding their automation approaches.
Hyper-automation is not new — several companies in 2020 have become hyper-automated. When more companies transition into digital-first projects, there must be an expanded number of processes and IT data departments to keep IT teams on track. IT teams can do much more by quickly automating without the need for extra capital. Around 2020 and 2021, hyperautomation is accelerating for 2021 and even beyond.
The latest trend in hyperautomation –
- Gartner projects that by the year 2023, 25% of tasks by the organisations will be able to perform autonomously and hence reducing the cost.
- By 2024, Based on hyperautomation technology and modern operating procedures, companies can lower operating costs by 30 per cent.
- By 2025, the person who orders the product will first be the person who touches it. More than 20% of the goods will be made, packaged, transported, delivered without any external touch or effect.
2. IoT Test Automation
The Internet of Things is generally referred to as IoT which encompasses computers, cars, houses or some other technological system related. . Better and quicker services are urgently needed today.
The number of connected devices is projected to reach 20 billion by 2020, compared to only 6.4 billion in 2016. There is a huge expansion and the need for a good IoT research plan.
In 2021 what can we expect?
In 2019, we had previously projected the demand for IoT research at $781.96billion. Globenewswire reports that IoT research is estimated to raise its market size to 3624.23 billion USD by 2025. The growing demand for IoT-testing is the government’s gradual acceptance of smart cities’ concept, which is why businesses are keen to incorporate IoT into their networks.
A recent development that can be anticipated due to the latest COVID pandemic would be increased usage of IoT in the health sector for testing and vaccination.
3. Autonomous Test Automation
Machine Learning (ML) and Artificial Intelligence (AI) programme testing and QA teams will develop their automatic research techniques, keeping track with recurring updates — with the assistance of analytics and monitoring. 38% of organisations were expected to introduce machine-learning initiatives in 2019, according to the Capgemini World Efficiency survey. This will rise in the coming year, according to industry analysts. The world’s Artificial Intelligence market is anticipated to increase from $28.42 billion in 2019 to $40.74 billion by 2020 that is by 43.39% of CAGR.
Now have a look in 2021 for autonomous testing.
Present Artificial Intelligence investments in North America alone are estimated to hit USD 6-7 billion. Artificial intelligence is projected to hit almost 200 billion USD in global investment by 2025.
In 2019, the trend was DevTestOps and continued until 2020. DevTestOps works together and delivers a reliable product. Quality Assurance and OP departments work together.
Although this QA automation approach is one of the newest developments in DevOps for 2021, early and end-to-end research would most likely thrive. The DevOps workflow is strongly connected to continuous monitoring activities aimed to maximise the consistency of the product and eliminate corporate risk.
DevTestOps encompasses the broad breadth of QA practises, cybersecurity challenges and business effects as a synergy of growth, testing and operations. You will invest more time on technologies instead of bug fixes by implementing DevTestOps.
5. Multi-experience testing
The word “multi-experience” encompasses a wide range of technologies and apps in which users engage in a number of touchpoints during their interactive journey. Multi-experience has been one of the top developments trends in technology in 2020. Testers took the multi-experience test in 2020 and found ways to simplify this test.
Future of multi-experience:
According to Gartner, at least one-third of the organizations do seem to have used multi-experiences by 2021.
Gartner also explored the development and/or usage of a multi-experience development model by 2023 for more than 25 percent of smartphone applications, progressive internet apps and conversational apps in major businesses.
6. The democratization of Automated Testing
Automation is a boardroom imperative in the COVID-19 pandemic. Automation technologies (RPA), artificial intelligence (AI), and machine learning (ML) are more critically and therefore more urgently required than they were even before COVID. In 2020, the idea of automation democracy gathers strength.
Codeless testing tools lay the groundwork for automated testing democratisation.
Codeless testing and codeless testing tools based on AI technologies and visual modelling enables accelerated test cases to be created that are optimised for automation testing. Using these methods, test case simulations can be generated without coding expertise and the amount of time used in repeated test cases can be reduced. Increased use of codeless automation devices is one of the developments in automation research to be expected in 2021.
7. Automation Via Distributed Cloud
Gartner describes the distributed cloud as the delivery of cloud resources across various physical sites, but it remains the responsibility of the public cloud operator to administer, maintain and grow. It is expected that the Cloud Computing pattern will grow further by being a distributed cloud in 2020.
Try Testsigma and experience the benefits of cloud-based test automation
According to Gartner, the greatest technological developments in 2021 will influence the future from technology affecting how people operate, to AI engineering and hyperautomation. By 2021, a distributed cloud would help companies physically put all services closely together, thereby addressing low-latency challenges, minimising the expense of storage and ensuring that data standards are consistent with the laws in a given geographical region.
8. Automation to Enhance AI Security Defence
Higher cybersecurity challenges were introduced by the technological revolution. However, the main theme in QA and device testing was safety testing in 2020. Cybercrime damage, according to Cybersecurity Ventures, will be estimated at USD 6 trillion a year by 2021.
Big 2021 hits:
- According to Gartner, the global cybersecurity spending in the year 2022 will exceed USD 133,7 billion.
- The global safety testing market size is estimated to rise from USD 6.1 billion in 2020 to USD 16.9 billion in 2025, at a CAGR of 22.3 per cent in the forecast period, following the COVID-19.
9. Quick and Reliable Test Automation
New technologies like the AI, NLP, AI, ML, autonomous products available are used by testers and organisations to solve the problems of test cases, time consumed in testing. Organizations adopted these tools to improve the quality and reliability of testing automation in 2020.
In 2021, AI and ML will change that we use testing insights and evaluate bug identification algorithms by learning about app testing. In order to delegate quality personnel effectively, many manual monitoring activities are likely to be replaced by Automation.
10. Test Automation to better work in Agile Mode
Agile assessments and agile development are increasingly growing and the latest tech trends are continuous with intelligent quality assurance or test teams. In the last year of 2019-2020, predictive testing is mainstream if 44% of IT businesses immediately test 50 per cent or more of all tests.
According to the most recently published study, MarketsAndMarkets.com, “automated testing in the world market size is projected to reach CAGR (Compound annual growth rate) by 18.0% from $12.6 bn in 2019 up to $28.8 bn in 2024.”
11. User Experience Testing and Automation
UX Design would be a highly respected talent and would greatly recommend software and people with the potential to compare and measure their designs, as per the best future technology for 2020 for all the technical advancements in the field of user experience and multi-experience development.
According to Statista, approximately 2.87 million Google Play Store applications, followed by 1.96 million Apple App Store applications in the 3rd quarter of 2020, are available.
Software testing was affected by the COVID-19 pandemic and its consequences in 2020 and 2021 affect software testing. This obligated QA engineers, in particular, to pay more attention to the user interface. When software products expand in the audience, their variety is growing.
12. Automation using Artificial Intelligence(AI) and Machine Learning(ML)
In all fields of technical advancement, Artificial Intelligence (AI) is everywhere. By 2020, this will become the CIO’s top investment primary consideration. However, according to Forbes, almost 64.8% of companies invest over US$ 50 million in initiatives such as Artificial Intelligence (AI) and Big Data in 2020, up from 39.7% in 2018.
The most recent 2021 trend
Gartner stated that Artificial Intelligence computing resources are to expand by 5 times between 2018 and 2023. It will make Artificial Intelligence the leading working group for assessing and deciding infrastructure.
13. Mobile Application Automated Testing
This is one of the latest automated test trends, which requires little description. Mobile devices and applications are increasing rapidly. Millions of different mobile apps are listed in various play stores of different operating systems.
GlobeNewswire reports that the world mobile apps market was estimated at 126.04 trillion dollars in 2019 and expected to expand to 408.13 trillion dollars by 2027 at 18.6% CAGR over the forecast period 2020-2027. for a global mobile app market.
14. Blockchain Tests
For companies modelled on cryptocurrencies, automobile, and finance, blockchain technology is needed. According to Marketsandmarkets, the global blockchain market is expected to cross $39.7 billion by the year 2025 relative to $3.0 billion in 2020. By 2022, a combination of IoT equipment and blockchain technologies through smart contracts is expected to allow for the new microtransaction of the two parties and it becomes the upcoming trend of 2021.
15. Dominance of Robotic Process Automation
The Robotic Process Automation (RPA) is ideal for extremely complicated systems automated using AI. It is precisely a kind of automation in which a system or algorithm simulates human behaviour and helps with built robotics to complete rules-based tasks.
The Automation Market size of the Internal Robotic Process (RPA) is projected to hit $7.2 billion by 2025, up 32.6 per cent CAGR market growth for the 2019-2025 projection period as reported by GlobalNewswire.
Here are the new testing patterns that were immensely beneficial to corporations and organisations that will trend in 2021. If you’re a testing organisation or a quality assurance specialist, you must keep up with these new developments in software testing to keep up with the ever changing dynamics and ever evolving market.
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