As a savvy CEO, you may believe that your organization is an IT innovator. But are you ready to become a Generative Artificial Intelligence (GenAI) pioneer in your industry? If not, why are you hesitant?
International Data Corporation (IDC) predicts that by 2028, GenAI-based tools will be capable of writing 70 percent of enterprise software tests -- decreasing the need for manual testing, and resulting in improvements to test coverage, software usability, and code quality.
According to the IDC assessment, 48 percent of enterprises in the Asia-Pacific region consider code review and testing as one of the important tasks that AI could most effectively help developers streamline.
GenAI Tools Market Development
IDC research shows that the top areas of emphasis for utilizing AI/ML with testing include prioritizing tests, discovering the underlying cause of failed tests, creating test cases, plus self-healing and testing procedures.
GenAI for test automation is becoming more popular amongst enterprises in the APEJ region. This involves using AI algorithms to generate and manage test scripts, allowing for more efficient and adaptable testing procedures.
IDC’s predictions highlight that GenAI has the potential to shape the future of industries and drive significant advancements in the AI-driven enterprise.
AI will drive new automation across software development, with developers and DevOps experts at the forefront of this new paradigm. Here are the other AI-driven predictions for the APEJ region:
- Refactoring: AI will reinvent the refactoring of legacy apps, with enterprises utilizing GenAI tools and cloud service provider platforms to initiate and execute 50 percent of code conversion and development tasks by 2027.
- Intelligent Apps: Trying to reduce content ingestion, by 2026 more than 50 percent of consumers will employ AI through mobile devices to discover, evaluate, and purchase most of the products and services they want.
- DevOps AI for Security: By 2026, 45 percent of DevOps teams will use DevSecOps tools leveraging AI to identify security challenges in applications and supply chains.
- Dev Growth: By 2026, the maturation of GenAI technologies catalyzes accelerated growth of the world's developer population and causes the Asia-Pacific's developer population to grow 2x faster.
The Asia-Pacific region is thriving in technology, with advanced AI, innovative practices, and a growing developer community, enabling businesses to deliver intelligent, efficient, and secure applications for market needs in the near term.
IDC also predicts the GenAI-related software trends are:
- Server WASM: By 2028, 20 percent of organizations will use server-side WASM within their application delivery chain, achieving key improvements in code reusability, security, and time to market.
- Natural Language Programming: By 2028, natural language will become the most widely used programming language, with developers using it to create 30 percent of net-new applications.
- Application Platform: By 2027, 50 percent of enterprises adopt a composable, internal-facing app platform empowering developers to source and personalize the discovery of development-related products, services, and infrastructure.
- GPU Development: By 2027, 60 percent of enterprise devs will use GPUs and other specialty processors to enhance development for machine learning, AI, video editing, 3D modeling, simulations, and digital twins.
- Shift Left VSM: By 2025, 65 percent of enterprises use integrated value stream management metrics within dev and deployment tools to map efforts to business outcomes and drive increased delivery coordination across the org.
Outlook for GenAI Tool Applications Growth
"The Asia-Pacific market for Generative AI-assisted software development, including code generation, user interface, testing, and other use cases, is rapidly growing," said Dhiraj Badgujar, senior research manager at IDC.
IDC analysts believe that China, India, and Japan are investing significantly in this to enhance software testing capabilities. The IT sector's robustness and quality assurance focus are driving market progress.
That said, I anticipate for CEOs who pride themselves on IT innovation, GenAI presents a pivotal moment. While the current focus might be on other advancements, embracing GenAI for software testing offers a leapfrog into competitive industry leadership.