The document discusses key trends and forecasts for test automation by 2025, highlighting advancements in AI-driven testing, the rise of no-code and low-code testing platforms, and an emphasis on security and privacy compliance. It predicts that by 2027, enterprises will automate up to 85% of their testing operations, significantly enhancing productivity and quality. The document also stresses the importance of real-time analytics, cross-platform testing, and accessibility in shaping the future of quality engineering.

1. Trends and Forecasts for Test Automation
in 2025 and Beyond
Overview
The demand for advanced test automation is rising due to the rapid advancements in
AI-driven futures, ML, and software. The scope of test automation is expanding from
basic functionality tests to complex domains like security, data integrity, and user
experience. The future of Quality Engineering will see new standards for efficiency,
accuracy, and resilience.
▪ AI-Powered Testing Will Set the Standard
By 2025, AI-driven testing will dominate test automation, with machine learning
enabling early detection of shortcomings. AI-powered pattern recognition will
enhance regression testing speed and reliability. By 2025, over 75% of test
automation frameworks will have AI-based self-healing capabilities, creating a
more robust and responsive testing ecosystem.
▪ No-Code and Low-Code Testing Platforms' Ascent
The rapid development is prompting the rise of no-code and low-code test
automation solutions. These platforms allow technical and non-technical users to
write and perform tests without advanced programming skills. By 2026, they are
predicted to be used in 80% of test automation procedures, promoting wider
adoption across teams.

2. ▪ Testing that is Autonomous and Highly Automated
Hyper-automation, a combination of AI, machine learning, and robotic process
automation, is revolutionizing commercial processes, particularly testing. By
2027, enterprises can automate up to 85% of their testing operations, enabling
continuous testing and faster delivery times, reinforcing DevOps and agile
methodologies.
▪ Automated Testing for Privacy and Cybersecurity
Test automation is advancing in ensuring apps comply with global security
standards and regulations, including GDPR, HIPAA, and CCPA. By 2025,
security-focused test automation is expected to grow by 70%, becoming crucial
in businesses requiring privacy and data integrity. This technology will enable
real-time monitoring, threat detection, and mitigation in the face of increasing
cyberattacks.
▪ Testing Early in the Development Cycle
Shift-left testing is a popular method for detecting and addressing flaws in the
early stages of development, reducing rework, and improving software quality. It
is expected to increase as tests are integrated with advanced automation
technologies. By 2025, DevOps-focused firms will use shift-left testing, reducing
defect rates by up to 60% and shortening time-to-market.
▪ Testing's Extension to Edge Computing and IoT
The increasing prevalence of IoT devices and edge computing will significantly
complicate testing, necessitating numerous setup changes and real-time data
handling due to network and device differences. By 2026, IoT and edge
computing test automation will account for 45% of the testing landscape, with
increasing demand in healthcare, manufacturing, and logistics.
▪ The Need for Instantaneous Test Analytics and Reports
Real-time analytics are crucial in test automation, enabling data-driven decisions
and improved test coverage, defect rates, and quality. By 2025, 65% of QA
teams will use real-time analytics to monitor and optimize test automation tactics,
resulting in a 30% increase in testing productivity.

3. ▪ Testing Across Platforms for Applications with Multiple Experiences
Multi-experience applications, which work across multiple platforms, require
extensive testing for compatibility, responsiveness, and UX. By 2025, 80% of
businesses will have implemented cross-platform test automation technologies,
enhancing multi-experience application quality by 45%. AI-based tools will
replicate human interaction across multiple platforms.
▪ Using Containerization and Virtualization to Simulate Environments
Test automation relies heavily on virtualization and containerization, with Docker
and Kubernetes technologies enabling virtualized environments that resemble
production. By 2025, containerized testing environments will enable 65% of test
automation, allowing quicker and more flexible testing solutions, reducing
dependencies, and increasing testing scalability and accuracy.
▪ The Expanding Function of AI-Powered RPA in Test Automation
RPA integrates with AI to create sophisticated automation solutions, increasing
productivity in repetitive testing operations, data transfer, and system
integrations. By 2026, AI-enhanced RPA will account for 45% of test automation
in industries with highly repetitive testing, such as banking, healthcare, and
manufacturing, enabling complex judgments and dependable outcomes.
▪ An increasing emphasis on accessibility testing
Due to increased accessibility priorities, the demand for accessibility testing in
businesses has surged. Automated tools will detect issues like color contrast,
screen reader compatibility, and keyboard navigation assistance, ensuring
WCAG compliance. By 2025, over 65% of enterprises aim for inclusive and
accessible user experiences.

4. Accepting the Future of Automated Testing
The next generation of test automation, utilizing AI, machine learning, and RPA, holds
immense potential for creating high-quality, secure, and user-friendly apps. Sun
Technologies, a leading testing solutions provider, must stay ahead of these trends to
provide clients with the most modern testing solutions available.
Are you set to transform your test automation journey?
Contact us at suntechnologies.com to learn more about how we can help you grasp the
newest testing trends and technology.
Together, let's define the future of quality engineering!