NITI Aayog’s Frontier Tech Hub has released a ten-year roadmap on ‘India’s Technology Services – Reimagination Ahead’ | Current Affairs | Vision IAS

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In Summary

  • India's tech services contribute 7% to GDP, earning $265 billion annually; aims for $750-850 billion by 2035.
  • Challenges include post-pandemic headwinds, AI automation, and competition, slowing growth to 4-5%.
  • Roadmap focuses on Agentic AI, Software & Products, Digital Infrastructure, Innovation-led Engineering, and India-for-India solutions.

In Summary

India’s tech services industry comprises of players that design, build, implement, manage, and support technology solutions for clients, primarily through IT services, software development, digital transformation, and operations.

About India’s Tech Services Industry

  • Contribution:  Nearly 7% to GDP and generating around $265 billion in annual revenue.
    • To align with the vision of Viksit Bharat@2047, the sector needs to aim to achieve $750–850 billion in annual revenue by 2035 to sustain a 7–8% share of GDP and expanding its global market share from present 20% to beyond 25%.
  • Challenges: Post-pandemic headwinds — including macroeconomic uncertainty, AI-led automation, and intensifying competition—have slowed annual growth to 4–5%.
    •  Current trajectories indicate a $250–300 billion shortfall.
  • Roadmap identifies five priority growth levers: 
    • Agentic AI: Leverage AI to build hybrid ‘human + agent’ service models. 
    • Software & Products: Strengthen India’s position as global SaaS capital. 
    • Digital Infrastructure: Establish India as world’s data services and AI infrastructure hub. 
    • Innovation-led Engineering: Harness R&D spend pools with India-based innovation centers, Center of Excellences and frontier technology partnerships. 
    • India-for-India solutions: Leverage India’s rapidly growing domestic demand with customized AI and multilingual platforms.
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RELATED TERMS

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Frontier Technology

Refers to cutting-edge technologies that are emerging or evolving rapidly and have the potential to significantly impact industries, economies, and society. Examples include Artificial Intelligence, Machine Learning, Advanced Materials, Digital Twins, and Robotics.

R&D

Research and Development refers to systematic activities undertaken to expand knowledge and use this knowledge to create new or improve existing products and processes. For UPSC aspirants, understanding R&D expenditure as a percentage of GDP is crucial for economic analysis and policy evaluation.

AI-led automation

The use of Artificial Intelligence (AI) to automate tasks, processes, and decision-making, which can lead to increased efficiency and productivity but also raises concerns about job displacement.

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