India’s know-how business is projected to achieve $315 billion in income in FY26, rising 6.1% year-on-year from $297 billion in FY25, in keeping with NASSCOM’s Annual Strategic Evaluate 2026.

In a 12 months marked by world financial uncertainty and regulatory fragmentation, know-how demand remained resilient. Nevertheless, spending priorities modified. Enterprises moved decisively towards measurable return on funding, productiveness features and outcome-led transformation.

Exports are anticipated to exceed $246 billion in FY26, up 5.6% year-on-year. Home demand expanded 7.9%, reflecting regular enterprise know-how adoption in India at the same time as world macro pressures weighed on conventional markets. Progress in APAC and the Center East outpaced mature geographies, serving to companies diversify income streams.

AI has emerged as a significant income contributor. NASSCOM estimates AI revenues at $10–12 billion in FY26. On common, 5–6% of firm revenues are actually AI-led. The shift displays a transfer from fragmented pilots to scaled, domain-centric deployments aligned with enterprise outcomes.

The business added roughly 135,000 workers in FY26, taking complete direct headcount to round 6 million, a 2.3% enhance over final 12 months. Regardless of automation considerations, the sector stays a internet hirer. Greater than 2 million professionals had been upskilled in AI through the 12 months, together with 200,000 to 300,000 in superior AI capabilities.

Sindhu Gangadharan, Chairperson, NASSCOM, stated, “AI is accelerating productiveness and altering the character of labor, however it is usually increasing the chance frontier. As AI will get embedded throughout capabilities, we are going to see roles redesigned round outcomes, deeper specialisation, and considerably increased AI fluency. The business’s focus is on constructing ‘Human + AI’ groups, investing in steady skilling, and changing effectivity features into progress, creating new jobs and new profession pathways at the same time as supply turns into extra agile and extra resilient.”

The report describes the 12 months as a decisive inflection level, with AI shifting from experimentation to function-specific integration. “Human + AI” groups are rising because the dominant supply assemble. Expertise methods are shifting from headcount-led hiring to capability-first fashions as AI-driven productiveness improves. New roles corresponding to AI orchestrators and human-AI managers are anticipated to develop quicker than the broader digital workforce.

Progress continues to be led by ER&D and BPM. Engineering Analysis and Growth is rising because the fastest-growing pillar, with a shift towards IP-led lifecycle possession. Suppliers are embedding intelligence instantly into merchandise and techniques, shifting from level engagements to end-to-end mandates. BPM companies are combining AI and knowledge to maneuver past robotic course of automation, from automating duties to enabling decision-making.

World Functionality Centres stay central to India’s tech momentum. Practically 70% of GCCs have outlined an AI roadmap. Many are transitioning from scale-focused execution to strategic possession throughout essential capabilities. The mannequin is evolving towards GCC-as-a-service, with deeper integration throughout cybersecurity, knowledge analytics and cloud.

Rajesh Nambiar, President, NASSCOM, stated, “The previous 12 months has been a reset for the worldwide setting, however know-how demand has remained resilient; shifting decisively towards productiveness, measurable ROI and scaled AI deployments. India’s AI benefit is widening, making organisations extra agile and consequence led. On the identical time, progress engines like GCCs and ER&D are shifting up the worth chain, from scale to strategic possession, reinforcing India’s function as a trusted companion constructed on cyber resilience and accountable AI.”

The findings are strengthened by the NASSCOM World Finish Person CXO Survey. Amongst world know-how consumers, 86% anticipate enterprise demand to stay steady or enhance in CY26, together with 56% who anticipate progress over CY25. About 90% point out growing AI allocation inside digital budgets in CY26, signalling that AI is shifting from discretionary experimentation to scaled, budget-backed deployment.