Indian IT Firms See Agentic AI Opening $400 Billion Opportunity
Nasscom forum says India’s technology services sector is moving from AI pilots to production as enterprises seek help with data, governance and workflow redesign
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India’s technology services companies are moving deeper into agentic AI, with about 85% of providers now running agentic AI platforms and nearly a quarter moving AI projects from experiments into production, according to Nasscom.
At the Nasscom US Forum, held last Friday at the Consulate General of India in New York, industry leaders said agentic AI could create $300 billion to $400 billion in additional addressable spending for technology services by 2030.
The opportunity spans data for AI, legacy modernization, agentic workflows, AI operations, cybersecurity and AI governance, Nasscom said.
India’s technology services sector already generates an estimated $10 billion to $12 billion in AI services revenue. It also has more than 2 million professionals skilled in AI, including 100,000 to 200,000 trained in advanced AI capabilities, according to Nasscom.
The forum brought together Delaware Governor Matt Meyer, Secretary Charuni Patibanda-Sanchez and CEOs of Indian technology companies operating in the US.
Participants said India’s IT services sector will remain central to enterprise transformation as AI moves from pilots into working systems.
Nasscom President Rajesh Nambiar said Indian technology services companies had helped global enterprises manage major technology shifts for more than three decades.
That role remains relevant in the AI era, he said, because most enterprises will still need specialist partners to integrate models, applications, data platforms, cloud systems, cybersecurity controls, regulation and industry workflows into reliable operating models.
AI may automate parts of standardized and repeatable work, but industry leaders said its impact on technology services cannot be judged only through task automation.
As AI adoption widens, enterprises will need more support in data readiness, application modernization, AI governance, cybersecurity, agent management and industry-specific deployment.
“The next phase of AI is not about experimentation alone. Enterprises now need to convert AI capability into production value,” said Ravi Kumar S., chair of the Nasscom US CEO Forum. “That requires data readiness, workflow redesign, secure deployment, governance and change management. These are areas where Indian technology services companies have deep experience and a strong opportunity to lead.”
Leaders at the forum said India’s advantage rests on its global delivery maturity, enterprise technology capabilities, AI-skilled workforce, domain expertise and expanding ecosystem of platforms, startups, global capability centers and sovereign AI solutions.
They said AI is unlikely to reduce the relevance of technology services. Instead, it changes how services are delivered and scaled, while expanding demand across enterprise modernization, data, AI governance and intelligent operations.
Business process services are also expected to change. Routine transaction work will increasingly be automated, while human effort shifts toward supervision, exception handling, analytics, decision support and quality assurance.
The next phase of growth is expected to come from global enterprises, Indian companies and government-led digital platforms that need trusted, secure and large-scale AI deployment.
Nasscom said demand will be driven by enterprise AI transformation, AI foundations, application modernization, AI operations, trust and governance, and vertical AI solutions.
India’s technology services sector has navigated several enterprise technology shifts over the past three decades. Its next stage of growth may depend on platforms, domain solutions, proprietary assets, intelligent operations, governance frameworks and outcome-based delivery.
That will require continued investment in advanced AI skills, responsible AI, cybersecurity, agentic platforms and new commercial models.
Nasscom represents India’s technology industry and has more than 3,500 member companies, including deeptech and AI startups, multinationals, product companies, services firms, global capability centers and engineering companies.
