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India 8th among 11 countries in investment in AI: WEF white paper

24 Jan 2026
1 min

AI Investment Rankings and Statistics

India ranks eighth among 11 countries in historical AI investments as a percentage of GDP (2010-2024), with a range between 1.2% and 1.8% of its 2024 GDP. This positions India behind countries like the US and Singapore, which lead the rankings.

Benchmark Comparisons

  • United States: 3.4% to 5.1% of GDP
  • Singapore: 3.1% to 4.6% of GDP
  • South Korea: 2.2% to 3.3% of GDP
  • China: 1.7% to 2.6% of GDP
  • India surpasses Europe (excluding the UK) and Brazil in AI investment percentages.

Global AI Investment Trends

  • The US and China dominate with 65% of total AI investments since 2010, ranging from $2,150 billion to $3,250 billion.
  • Projected additional investment annually till 2030 is estimated at $1.5 trillion.

Infrastructure and Hardware Investments

  • AI infrastructure investments (data centers) have reached $600 billion since 2010.
  • The global number of hyperscalers is expected to rise from over 1,136 to over 2,000 by 2030.
  • India anticipates over $67 billion in investments in the next three years, announced by global tech firms.

Future Growth Projections

  • Hardware investments have surpassed $200 billion since 2010, with expected growth of 15-25% annually, equating to $90 billion per annum until 2030.
  • Investments in foundational models are projected to grow 25-35% per annum, reaching at least $300 billion per year by 2030, driven by advancements in language models and machine learning.

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RELATED TERMS

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Machine Learning

A type of artificial intelligence (AI) that enables systems to automatically learn and improve from experience without being explicitly programmed. It is used in NATGRID for data analysis and inference.

Foundational Models

Foundational models are large-scale AI models trained on vast amounts of data that can be adapted to a wide range of downstream tasks, like language translation or image generation.

Hyperscalers

Hyperscalers are cloud computing providers capable of supporting large-scale cloud computing environments, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.

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