After 2 Years of Slowdown, Is Indian IT Ready to Surge? Nomura Reveals AI Secret!

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AuthorAkshat Lakshkar|Published at:
After 2 Years of Slowdown, Is Indian IT Ready to Surge? Nomura Reveals AI Secret!
Overview

Nomura analysts predict India's IT sector recovery by FY27, driven by AI monetization and easing macroeconomics. They believe concerns about the sector being an 'AI loser' are overstated, expecting marginal improvements in revenue and profitability. Key IT firms are investing heavily in AI adoption, with a noticeable revenue inflection anticipated within 12-18 months.

Indian IT Sector Outlook: A Recovery on the Horizon?
Nomura analysts anticipate a positive turn for India's information technology services industry, projecting a recovery by Fiscal Year 2027. After two years of subdued growth, the sector is expected to benefit from easing macroeconomic challenges and a clearer path to monetizing artificial intelligence (AI) led services.

Nomura's Analysis: Moving Past Cyclical Slowdown

  • The Indian IT sector has experienced sluggish growth, with industry revenue rising by only 1.8% in FY25 and a projected 2.9% in FY26.
  • Investor sentiment has been impacted by muted top-line trends, raising concerns that the sector might become a "net AI loser" due to automation compressing traditional revenue streams.
  • However, Nomura disagrees, classifying the current softness as cyclical rather than structural. Historically, major technology shifts have expanded, not shrunk, the addressable market for IT service providers.
  • Enterprises adopting complex digital and AI-driven architectures will continue to require system integrators to manage their heterogeneous tech stacks.
  • Current challenges are attributed to early-stage AI deflation combined with an uncertain macroeconomic environment, leading clients to focus on cost savings and delay discretionary spending.

AI's Role: From Concern to Monetization

  • Nomura forecasts AI monetization to accelerate significantly within the next 12 to 18 months.
  • This acceleration is expected as AI adoption progresses beyond initial proof-of-concept stages to broader enterprise-wide deployment.
  • Leading Indian IT firms are actively investing in AI, integrating it into internal workflows, developing new service lines, building client-facing AI capabilities, and forming strategic partnerships.
  • The transition from pilot projects to standalone AI implementations has commenced, with substantial revenue growth anticipated when enterprises standardize data and scale AI across their business functions.
  • This shift is also expected to revive demand for cloud and data modernization services.

Profitability and Margin Outlook

  • Margins are projected to see modest improvements as revenue growth picks up, supported by ongoing workforce optimization initiatives.
  • For FY27, Nomura expects average earnings before interest and tax (Ebit) margins for large-cap IT companies to expand by approximately 30 basis points.
  • Mid-cap IT firms are anticipated to see margin expansion of around 50 basis points, maintaining their growth premium.
  • While AI investments will continue, they are not expected to materially impact overall profitability negatively.

Valuation Landscape and Stock Picks

  • Current valuations across the IT sector are considered attractive, although Nomura advises a selective approach.
  • The brokerage has rolled forward its valuation framework to H1FY28 while maintaining target multiples.
  • Companies demonstrating above-industry growth are expected to be outperformers.
  • Nomura's preferred large-cap picks include Infosys and Cognizant.
  • For mid-cap stocks, Coforge is favored, and eClerx is highlighted among small-caps.
  • Nomura maintains a contrarian 'Buy' rating on Wipro and a 'Reduce' rating on L&T Technology Services (LTTS).

Future Expectations

  • Despite near-term challenges, Nomura's outlook suggests the Indian IT sector is positioning itself for a more constructive growth cycle.
  • This constructive outlook is contingent on AI-led demand effectively converting into scaled revenue streams.

Impact

  • This news suggests a potential turnaround and growth phase for the Indian IT sector, which is a significant component of the Indian economy and stock market.
  • Investors may see increased opportunities in IT stocks, potentially leading to positive market sentiment and stock price movements for well-positioned companies.
  • Companies that successfully leverage AI and digital transformation services are likely to capture market share and enhance profitability, benefiting their stakeholders.
  • The projected improvement in revenue and margins could lead to higher earnings for IT firms, positively impacting their valuations.
  • Impact Rating: 8/10

Difficult Terms Explained

  • FY27: Fiscal Year 2027, referring to the financial year that typically runs from April 1, 2026, to March 31, 2027.
  • Macro headwinds: Economic challenges or negative forces in the broader economy that can impede growth or create uncertainty.
  • 'AI loser' narrative: The idea or concern that companies heavily reliant on traditional IT services might lose out or become less relevant because of advancements and adoption of Artificial Intelligence.
  • Automation: The use of technology to perform tasks previously done by humans, often leading to increased efficiency and reduced costs.
  • Addressable market: The total potential revenue or market size available for a company's products or services.
  • System integrators: Companies or professionals that specialize in combining different IT systems, software, and hardware components to create a unified, functional whole.
  • Tech stacks: The combination of software, programming languages, and tools used by an organization to build and run applications.
  • AI deflation: A potential scenario where the cost of services or products is reduced due to highly efficient AI implementation, which could compress profit margins if not managed carefully.
  • Macroeconomic backdrop: The overall state of the economy, including factors like inflation, interest rates, and GDP growth, which influences business decisions.
  • Discretionary spending: Spending by consumers or businesses on non-essential goods or services.
  • Global 2000 companies: A list of the world's largest and most influential public companies.
  • IT majors: Large, leading companies within the IT industry.
  • Large caps: Companies with a large market capitalization, generally considered more stable.
  • Mid-cap IT firms: Companies with a medium market capitalization, often seen as having higher growth potential than large caps.
  • Proofs of concept (PoC): An initial small-scale test or demonstration to verify the feasibility of a concept or idea before committing to full development.
  • Ecosystem: A network of interconnected companies, partners, and technology providers that collaborate and support each other within a specific industry or market.
  • Data standardization: The process of organizing and formatting data into a consistent structure to ensure compatibility and ease of use.
  • Workforce optimisation: Strategies and actions taken to improve the efficiency, productivity, and effectiveness of an organization's human resources.
  • Ebit margins: Earnings Before Interest and Tax margins, which indicate a company's profitability from its core operations before accounting for interest expenses and taxes.
  • Basis points (bps): A unit of measure equal to one-hundredth of one percent (0.01%). Used to describe small changes in interest rates or percentages.
  • Valuations: The process of determining the current worth or market price of an asset or company.
  • Target multiples: A valuation metric (like Price-to-Earnings ratio) that analysts use to set a target price for a stock.
  • Contrarian 'Buy': An investment strategy where an investor goes against prevailing market sentiment, buying when others are selling or selling when others are buying, believing the market is overreacting.
  • 'Reduce' rating: An investment recommendation suggesting that investors should reduce their holdings in a particular stock or company.
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