Urgent.News

What's breaking now, across thousands of outlets.

AI

AI deals seen driving medium-term growth as Indian IT sector faces muted Q2: Report

India's IT services sector is likely to see muted performance in the second quarter of FY27, but increasing traction in artificial intelligence-related deals could support growth over the medium term, Centrum said in a report.

AI deals seen driving medium-term growth as Indian IT sector faces muted Q2: Report

India's IT services sector is projected to experience modest growth in the second quarter of FY27, according to a report by Centrum. However, increasing traction in artificial intelligence (AI)-related deals could serve as a catalyst for medium-term growth. The report highlights that client caution surrounding AI adoption and extended decision-making timelines have dampened near-term performance.

Despite this, Centrum anticipates healthy deal booking and a robust pipeline across most IT services firms. AI-led services are expected to significantly contribute to business growth over the medium term, with the AI services market projected to reach USD 300-400 billion by 2030.

However, Tier 1 IT companies are forecasted to witness subdued revenue growth in the near term, with sequential revenue growth of 0.4% for TCS, 1.1% for Infosys, 1.9% for HCL Tech, a 0.6% decline for Wipro, and 1.3% for Tech Mahindra in Q2FY27. Among Tier 2 companies, LTIMindtree is expected to grow 1.1%, L&T Technology Services 1.7%, Coforge 3.1% organically, Persistent Systems 6%, Mphasis 1.9%, and Happiest Minds 2.3% sequentially in US dollar terms.

Recent deals signed by companies primarily focus on cost optimization and vendor consolidation. The conversion of total contract value into revenue remains soft, indicating that deals are progressing gradually. Discretionary technology spending in the banking, financial services, and insurance (BFSI) and technology sectors shows a marginal improvement, although manufacturing and automotive sectors remain challenged.

Centrum anticipates operating margins to remain stable across the sector in Q2FY27, supported by a 1% depreciation in the rupee against the US dollar. However, this could be partly offset by investments in AI. Companies are also aiming for margin improvement through better utilization of AI tools, higher usage, and changes in their workforce composition.

In the future, Centrum believes that management commentary on demand, FY27 revenue and margin guidance, offshoring, hiring, and deal booking will be crucial. The brokerage expects the sector's outlook to improve incrementally in FY27, driven by growing traction in AI-related deals.

Written by urgent.news from Economic Times Tech's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at economictimes.indiatimes.com →

More in AI

Hong Kong outlines 4-step AI ‘talent ladder’ to offset entry-level job shock

Hong Kong has unveiled a four-step artificial intelligence (AI) “talent ladder” strategy to counter entry-level job shock and foster industry leaders, viewing the technology as a “catalyst, not a threat”. Permanent Secretary for Innovation, Technology and Industry Kevin Choi Kit-ming warned on Monday that the “entry-level shock” was real…

Hong Kong outlines four-step AI ‘talent ladder’ to offset entry-level job shock

Hong Kong has unveiled a four-step artificial intelligence (AI) “talent ladder” strategy to counter entry-level job shock and foster industry leaders, viewing the technology as a “catalyst, not a threat”. Permanent Secretary for Innovation, Technology and Industry Kevin Choi Kit-ming warned on Monday that the “entry-level shock” was real…

The Four Components of an AI Agent, in One Small TypeScript File

Most explanations of AI agents stop at “a model with tools”. That is true, but it doesn't help when your agent forgets a preference, calls the wrong function or loops forever. To debug any of those, you need to know which part is misbehaving. This post continues my series on building agents. The previous one covered LLMs versus agents .

  • The brain is the language model deciding the next step in an AI agent
  • Memory holds conversation history and stored facts in two layers
  • Tools are ordinary functions with descriptions for outside world interaction

More from Monday 5 October →