Worldwide IT spending is projected to total $3.4 trillion in 2020. – Gartner
This prediction clearly states the speed with which technology is shaping the future of businesses globally. Evolving IT-sphere offers new and exciting opportunities to businesses almost every day.
Software engineering and testing services widely rely on the capabilities of emerging technologies like artificial intelligence, machine learning, big data, and more to grab the attention of their end-customers with reliable, secure, and high-performing software products.
Such products help businesses to compete and make a mark in the challenging and turbulent market space.
NelsonHall interviewed leading IT players and published a report named “Next-Gen Software Testing Services.” It states that Next-gen testing accounts for 24% of the software testing services spending – the fastest growth offering with a 12.8% CAGR for 2018-2023.
With such developments, the demand for high-quality business-critical software products is on the rise. This further raises the need for insight-driven software testing practices along with modern product engineering services to facilitate rapid releases and faster turnaround time.
The challenges pertaining to the growing complications of software testing have compelled businesses to readily invest in agile and sophisticated software testing services. However, before adopting any such technologies, it is important to understand the emerging trends in software testing.
Shift left approach with Test Automation
Businesses that prefer the idea of “quality at speed” adopts test automation.
Today, more and more businesses are embracing Agile development and DevOps practices for frequent code deployments and high-quality software delivery. Incorporating test automation helps technical teams execute manual and redundant tasks quickly, identify code errors rapidly, render continuous feedback loops, and ensure test coverage. Test Automation is a delight for businesses looking to significantly optimize their capital, time, and efforts.
According to a report by Statista, the total installed base of IoT connected devices is projected to amount to 75.44 billion worldwide by 2025.
It is expected that IoT will play a major role in automation, automatization, and connectivity. From automobile to healthcare, IoT will help businesses gain important insights, analyze them and use them to take appropriate actions.
In addition, IoT testing further improves testing operations by effectively incorporating revised test coverage, bug prevention at the early phases of the SDLC, accelerated automated testing, and reduced time-to-market to achieve highly productive testing results.
AI (Artificial Intelligence) and ML (Machine Learning)
“Some people call this artificial intelligence, but the reality is this technology will enhance us. So instead of artificial intelligence, I think we’ll augment our intelligence.” —Ginni Rometty, executive chairman of IBM.
Who does not want to capitalize on technologies behind SIRI and self-driving cars for their business benefits? With AI and ML, enterprises are leveraging the capabilities of statistical and mathematical skills, knowledge, and experience in data science, critical thinking, mental agility, and much more. You can checkout our Whitepaper on the Approach of Testing AI-powered Applications.
While AI and ML solutions help companies in achieving so much more, companies can adopt these pathbreaking trends in defect analytics, log analytics, predictive analytics, test suit optimization, and ensuring coverage of test requirements.
Big Data testing
Big Data is not a new name and many businesses with high volumes of structured or unstructured data utilize its benefits to make informed business decisions and enhance market targeting and strategizing.
According to the World Economic Forum, 44 zettabytes of data will be produced by 2020. But, the mining of such huge data requires the benefits of effective Testing. It will help in delivering high quality of data, making Big Data one of the most promising software trends in 2020.
Recently Gartner released Top 10 Strategic Technology Trends for 2020, making Blockchain the part of the list.
Many Businesses have adopted this revolutionary technology to enable trust, transparency, and traceability across their business ecosystem. It helps in settling business transactions seamlessly and cost-effectively.
However, Blockchain debugging comes with its own sets of challenges and this requires the need for next-gen Blockchain testing to debug the code effectively and deliver high-quality Blockchain applications.
According to Cost Of Data Breach Report 2019 from Ponemon Institute and IBM Security, the global average cost of a data breach has grown by 12 percent in the last five years to $3.92 million.
With the rise of software security breaches globally and the growing need for risk compliance and cybersecurity, enterprises must empower their QA teams with the required knowledge, best practices, and the right tools to encourage security testing.
This will shift the attention of the businesses towards creating powerful security strategies around products and operations, implementing the plans in early stages in the development lifecycle, and much more.
Businesses must engineer highly complex but advanced software products to live up to the expectations of a younger tech savvy market. This list of major software testing trends is all set to dominate the emerging market.
Interested in utilizing tried and tested QA services for superior application development? Get in touch with testing and QA experts at Cygnet on firstname.lastname@example.org.