The banking industry has seen significant growth in the demand for test automation in 2022, driven by the need to support digital transformation. Going into 2023, banks continue to seek new ways to improve their efficiency and resilience. In this context, automating software testing will become increasingly important to achieving these goals.
We have identified six significant trends expected to shape the testing industry in 2023:
Gartner has reported that by 2025, seven out of ten enterprises will incorporate AI-augmented testing into their operations. This will be made possible by new technologies such as intelligent computer vision and natural language processing, which will enhance testing efficiency and reduce costs. For instance, Albertsons and Lines have already demonstrated how they can accelerate their testing cycles by utilizing AI to create test scripts.
In 2023, the use of the digital twin model in software testing is expected to grow as it can address testing challenges and efficiently handle complex software content for cross-platform testing.
In 2023, organizations are expected to take the shift left approach to the next level by focusing on enhancing the real user experience. By incorporating intelligent test automation solutions that integrate actionable analytics, developers can gain insights into how real customers use the software. This information can then be used to make real-time improvements to the software, improving the user experience and boosting product competitiveness.
In industries like banking, where the user experience is critical, this approach can be especially valuable. By continually improving software based on real user feedback, banks can provide a better customer experience and stay ahead of the competition. Additionally, by identifying and addressing defects early in the development process, banks can ensure the security and reliability of their software.
In addition to wider adoption, RPA will become more intelligent. Advancements in AI technologies such as computer vision and natural language processing will enable bots to automate a wider variety of workflows. This intelligent automation, or RPA 2.0, will bring greater business efficiency by enabling bots to automate more complex cognitive or decision-making processes or be able to analyze unstructured data and process a broader range of documents such as handwriting, email, scans, and images.
In 2023, testing experts will shift towards cross-platform test automation to make omnichannel digital experiences more robust. This approach allows for efficient testing of numerous user journeys, including unexpected ones, as new technologies and devices emerge. One of the key strategies for placing the digital experience front and center during software development is AI-driven model-based testing. This testing approach enables all possible user journeys to be tested and helps uncover bugs that not even the best manual tester can find.
The analytics capabilities of test automation tools will continue to evolve and mature throughout 2023. This growth in intelligence is expected to lead to the availability and accessibility of more reliable predictive analytics.
The software testing industry is currently witnessing an exciting era where test and automation intelligence solutions are becoming increasingly vital in driving digital innovation across multiple industry sectors.
1. Revolutionizing Software Testing with AI-Powered Solutions
In the previous year, there were groundbreaking advances in AI technology propelled by ChatGPT, DALL-E, and Copilot. We anticipate that in 2023, these advancements will have a significant impact on various applications, specifically in the realm of software testing. Regardless of global economic conditions, software testing will gain more attention from enterprises.Gartner has reported that by 2025, seven out of ten enterprises will incorporate AI-augmented testing into their operations. This will be made possible by new technologies such as intelligent computer vision and natural language processing, which will enhance testing efficiency and reduce costs. For instance, Albertsons and Lines have already demonstrated how they can accelerate their testing cycles by utilizing AI to create test scripts.
2. The Emergence of the ‘Digital Twin’ Model
The concept of Industry 4.0 is centered around connecting the physical and digital worlds, with the digital twin model serving as a crucial component to realizing this vision. According to Gartner, the digital twin market is projected to experience double-digit growth and reach $183 billion by 2031.In 2023, the use of the digital twin model in software testing is expected to grow as it can address testing challenges and efficiently handle complex software content for cross-platform testing.
3. The Growing Popularity of 'Shift Left' Approach
The "shift left" approach to software development has become a widely adopted practice in recent years. By identifying and addressing software defects early in the development process, organizations can save significant costs and improve security. This approach is especially important in industries such as aerospace and defense, where security is a top priority.In 2023, organizations are expected to take the shift left approach to the next level by focusing on enhancing the real user experience. By incorporating intelligent test automation solutions that integrate actionable analytics, developers can gain insights into how real customers use the software. This information can then be used to make real-time improvements to the software, improving the user experience and boosting product competitiveness.
In industries like banking, where the user experience is critical, this approach can be especially valuable. By continually improving software based on real user feedback, banks can provide a better customer experience and stay ahead of the competition. Additionally, by identifying and addressing defects early in the development process, banks can ensure the security and reliability of their software.
4. Transforming Critical Industry Challenges with Intelligent Automation
Robotic Process Automation (RPA) has become a standard practice in healthcare, finance, and other industries. The early versions of RPA successfully addressed various challenges, including reducing errors and saving costs. Gartner predicts that the RPA market will continue to grow worldwide in 2023, registering double-digit growth.In addition to wider adoption, RPA will become more intelligent. Advancements in AI technologies such as computer vision and natural language processing will enable bots to automate a wider variety of workflows. This intelligent automation, or RPA 2.0, will bring greater business efficiency by enabling bots to automate more complex cognitive or decision-making processes or be able to analyze unstructured data and process a broader range of documents such as handwriting, email, scans, and images.
5. Digital Experience Testing
Customers expect a seamless digital experience across all channels, and a recent survey reveals that only a small percentage of consumers are satisfied with current offerings. Quality software is the key to winning in the digital experience competition, and testing is critical to ensure that user journeys are efficient and consistent across multiple devices and platforms.In 2023, testing experts will shift towards cross-platform test automation to make omnichannel digital experiences more robust. This approach allows for efficient testing of numerous user journeys, including unexpected ones, as new technologies and devices emerge. One of the key strategies for placing the digital experience front and center during software development is AI-driven model-based testing. This testing approach enables all possible user journeys to be tested and helps uncover bugs that not even the best manual tester can find.
6. Advanced Analytics
Companies across various industries have recognized the importance of utilizing data-driven insights. In particular, leaders in software testing are increasingly relying on data to accelerate their testing cycles and promptly respond to any changes. To ensure that applications are launch-ready and that the data observed is accurate, testing leaders require actionable insights beyond traditional metrics such as defects per release and leakage. Real-time access to data can be particularly critical in industries such as healthcare, aerospace, and defense where there is a high level of risk associated with critical systems.The analytics capabilities of test automation tools will continue to evolve and mature throughout 2023. This growth in intelligence is expected to lead to the availability and accessibility of more reliable predictive analytics.
The software testing industry is currently witnessing an exciting era where test and automation intelligence solutions are becoming increasingly vital in driving digital innovation across multiple industry sectors.
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