Context: India’s IT industry looks content being the world’s back office, while the real tech giants chase the future through world-class software products, AI breakthroughs, and deep-tech start-ups.
Relevance of the Topic: Mains: IT Sector in India- Issues, Way Forward
India’s Services Sector
- India’s services sector has been a significant contributor to the Gross Value Added (GVA) in the economy.
- Its contribution to the total GVA at current prices has increased from 50.6% in FY14 to about 55% in FY25.
- Growth in the service sector (measured by YoY change in real GVA by services) has been above 6% in each year in the last decade, except for FY21 (Covid-19 pandemic).
- The Indian IT/ ITeS industry is a cornerstone of India’s services sector and a key contributor to the growth of exports. The industry has estimated revenues of $254 billion, marking a 3.8% YoY growth in FY24 (excluding e-commerce).
- Tech exports reached nearly $200 billion reflecting a growth of 3.3%.
- The domestic market is expected to expand by 5.9%, crossing $54 billion in FY24.
- India’s Global Capability Centres (GCCs) are providing various support services, such as IT, finance, human resources, and analytics, to their parent organisations.
- The number of GCCs in India has grown from approximately 1430 in FY19 to over 1700 in FY24.
- As of FY24, GCCs in India employ nearly 1.9 million professionals.
Constraints limiting India’s IT Sector
Despite its successes, the sector remains overly focused on outsourcing, missing opportunities in innovation, deep tech, and indigenous technology development.
- Low on Innovation:
- Predominant focus on outsourcing rather than creating intellectual property (IP).
- Indian IT giants (TCS, Infosys, Wipro) prioritize human resource deployment over technological innovation.
- Despite a 55% share in global outsourcing, India lacks global software products comparable to Google or OpenAI.
- Absence of long-term technology vision:
- Companies prioritise dividends over investing in long-term research and development (R&D).
- Risk aversion leads to missed opportunities in emerging fields like AI, blockchain, and automation.
- In contrast, countries like China invest heavily in cutting-edge technologies.
- AI blind spot:
- Limited investment in AI, with industry leaders underestimating the feasibility of building cost-effective Large Language Models (LLMs).
- DeepSeek’s success proves AI models can be developed for under $7 million.
- Underrepresentation of Indian languages in AI datasets (only 3% of global web data), hindering AI models from effectively serving Indian users.
- Limited investment in AI, with industry leaders underestimating the feasibility of building cost-effective Large Language Models (LLMs).
- Overreliance on Global Capability Centres (GCCs):
- GCCs, despite hiring Indian engineers, retain innovation and IP abroad.
- These centres diminish revenues for Indian IT firms and may exploit tax loopholes through transfer pricing.
- Dependence on American digital firms:
- India failed to develop indigenous tech giants despite having early industry leaders.
- Unlike China, which fostered domestic alternatives (Baidu, WeChat, Tencent), India’s market is dominated by foreign platforms.
- Weak policy support for homegrown companies has exacerbated this reliance.
- Low Data centre capacity:
- India’s data centre capacity stands at 1GW, significantly lagging behind the US’s 20GW.
- Reliance on foreign data hosting limits India’s sovereignty over data-driven innovations.
- Weak Start-up culture:
- Start-ups focus mainly on services (e.g., Zomato, Swiggy) rather than deep-tech solutions.
- Investors prefer low-risk ventures, unlike in the US or China where venture capital supports high-risk, innovative technologies.
- Role of Nasscom
- Nasscom’s influence has faded; currently operating more as a lobbying entity than a driver of innovation.
- Lacks up-to-date data and actionable strategies to promote technological advancement.
Way Forward
- Fostering innovation and risk-taking:
- Shift from a service-oriented model to product-based innovation.
- Encourage companies to reinvest profits into R&D rather than distributing them solely as dividends.
- Promoting indigenous AI and deep-tech development:
- Develop AI models in Indian languages to cater to local users.
- Invest in cost-effective solutions like open-source models (e.g., DeepSeek).
- Building a robust Start-up ecosystem:
- Government to incentivise deep-tech start-ups through funding and procurement policies.
- Support for venture capital investment in high-risk, high-reward ventures.
- Strengthening data sovereignty:
- Expand India’s data centre capacity to reduce dependence on foreign infrastructure.
- Implement policies to retain data within national borders for security and innovation benefits.
- Revitalising Nasscom’s role:
- Reorient Nasscom towards promoting deep-tech innovation and supporting start-ups.
- Develop comprehensive data repositories and policy recommendations to guide industry growth.
True leadership in IT will only come when India embraces a culture of innovation, risk-taking, and long-term vision.













