The global adoption of AI in the software development life cycle (SDLC) is rapidly growing, with IT leaders exploring new use cases for AI technologies. More than 84% of industry leaders have incorporated AI in SDLCs within the past six months to five years, with the earliest adopters being IT services companies from Europe and America. Currently, 75% of companies globally have adopted AI in software development for testing and quality assurance, while nearly 70% use it for security vulnerability detection.
Furthermore, 94% of organizations are prepared to invest heavily in AI-augmented SDLC management over the next two years. However, certain risks remain, such as orphan code and hallucinations, the lack of context for an organization’s specific coding needs, and scalability issues. While 56% of industry leaders have experienced higher quality of applications with fewer bugs and improved performance due to AI, there are still concerns about data privacy and security (reported by 56% of leaders), regulatory and compliance challenges (reported by 42%), and difficulties in integrating GenAI into existing workflows (reported by 38%).
India’s vast and expanding developer community, coupled with its strong emphasis on STEM education, creates an ideal environment for AI adoption in software development.
India’s AI-driven SDLC challenges
Alankar Saxena, Co-Founder and CTO of Mudrex, stated, “In fact, 75% of software executives report up to a 50% reduction in development time thanks to AI and automation.”
However, the current talent pool falls short of meeting the growing demand for AI expertise.
“Finding and retaining skilled professionals who can effectively design, develop, and implement AI solutions is a significant challenge for Indian companies,” said Dipal Dutta, CEO & Founder of RedoQ. Vijay Navaluri, Co-founder & Chief Customer Officer of Supervity, noted, “76% of Indian enterprises are actively involved in AI and GenAI initiatives, focusing on proofs of concept and investments. Nevertheless, the complexity of implementation and difficulties in embedding AI into existing workflows remain major challenges.”
Despite these hurdles, Indian tech giants such as Infosys, Wipro, and TCS are at the forefront, investing heavily in AI research and development to enhance their software solutions.
Startups like Niramai and Uniphore are also innovating in this space, focusing on niche areas such as AI-driven quality assurance and automated customer interactions. India has made significant strides in the AI-driven SDLC space, but there is still a long way to go to match the advancements seen in other regions. With a strong foundation in STEM education and increasing investments in AI, the future looks promising.
