India IT cos generating $10-12 bn in AI revenue, set for growth: Nasscom - Business Standard

2026-06-26 · Source: artifical intelligence via Google News · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Consulting & Professional Services, Corporate Strategy & Leadership · Depth: Fundamental Awareness, quick

Summary

The Indian technology services industry currently generates an estimated \$10-12 billion in revenue from artificial intelligence (AI) services, with approximately 25% of companies successfully transitioning AI experiments into production. Nasscom reports over 2 million professionals are skilled in AI, and 85% of technology service providers now utilize agentic AI platforms. Looking ahead, Nasscom projects that agentic AI will unlock an additional \$300-400 billion in addressable spend for technology services by 2030, covering areas like legacy modernization, AI operations, cybersecurity, and governance. Industry leaders emphasize that as AI moves into production, enterprises will increasingly require specialist partners to deploy and scale the technology responsibly, shifting the value of IT services towards secure, efficient, and scalable system orchestration rather than linear headcount growth.

Key takeaway

For Directors of AI/ML evaluating strategic partnerships for enterprise AI adoption, recognize the Indian IT services sector as a critical enabler. It generates \$10-12 billion in AI revenue and anticipates \$300-400 billion growth by 2030. Shift your focus from internal experimentation. Instead, leverage specialist partners for secure deployment, governance, and scalable production value, moving beyond linear headcount models.

Key insights

Indian IT services are poised for significant AI-driven growth, shifting from experimentation to production value with specialist partnerships.

Principles

• AI's production phase demands specialist partners.
• IT services value shifts to system orchestration.
• Future growth relies on platforms, not headcount.

Method

Converting AI capability into production value requires data readiness, workflow redesign, secure deployment, governance, and change management for reliable operating models.

In practice

• Focus on agentic AI platforms.
• Develop AI governance frameworks.
• Prioritize data readiness initiatives.

Topics

• AI Services
• Indian IT Industry
• Agentic AI
• AI Governance
• Enterprise AI Adoption
• Digital Transformation

Best for: Investor, CTO, VP of Engineering/Data, Director of AI/ML, Consultant, AI Architect

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Editorial summary, takeaway, and curation by AIssential. Original article published by artifical intelligence via Google News.