Look at two key data points:
By 2021, 50% of enterprises will leverage intelligent test automation driven by AI and machine learning. – Gartner
According to Transparency Market Research, the global test automation market will be worth $85 billion in 2024.
What factors are driving the adoption?
Every industry is getting digitally transformed and automation is a critical part of their product strategy. For example, if you’re an insurance company, you face stiff competition from digital technology pioneers and first-movers, who are not just bringing out customer-facing applications but leveraging digital potential across the entire value chain, including underwriting and claims management. As apps grow and their quality becomes a key differentiation for companies, companies are replacing manual testing with more efficient test automation.
The increase in QA and testing spend comes on the back of an increased focus on customer value and IT quality of end-to-end user experiences. It doesn’t take long for criticism around poor UX to proliferate on social media and review sites. Corporate image can take a hit from bad reviews, a reason why protecting it is often a priority for IT teams, alongside delivering user satisfaction and enhancing awareness around quality.
There is pressure to catch defects earlier in the lifecycle while optimizing cycle time. This mindset is driving reliance on test automation, which is
The inherent advantages of cloud computing make cloud based test automation tools highly viable. Lower total cost of ownership, instant scalability and the ability to conduct geo-performance testing apart, cloud-based tools boost testing times and reduce the hassle and risk involved in using traditional tools, including licensing, installation and user management.
Test automation offers immense potential to create sustainable competitive advantage. There is no better time than now to brainstorm and determine what the technology brings for your sector and business.
As organisations are embracing agile, there has been an 85% increase in test automation over a two year period across all industry domains. – KPMG Testing Survey in India’s Research 2017
We now have the tools and resources to apply artificial intelligence (AI) and machine learning technologies to testing engagements. You can analyze large volumes of data, predict defects, detect defects early, identify defect duplication efficiently.
If automation is a challenge, allow us to support you.
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