Linux Foundation Report Finds Open Source Driving India’s AI Growth

Feb 17, 2026
A new report from the Linux Foundation and Meta shows that 76% of Indian startups use open source AI, with the country’s AI market projected to grow from $6 billion in 2024 to nearly $32 billion by 2031.

The Linux Foundation, in partnership with Meta, released a new report on India’s AI ecosystem, announced in a press release. The study, titled AI for Economic and Social Good in India: Scaling Inclusive Growth for Entrepreneurs, Creators, and Local Economies, found that 76% of Indian startups use open source AI tools, helping drive cost-effective innovation and customization.

According to the report, India’s AI market has expanded from $3.2 billion in 2020 to $6 billion in 2024 and is projected to reach nearly $32 billion by 2031. This growth is supported by a strong startup ecosystem, government-led digital infrastructure, and global demand for Indian technical talent. India also has the highest year-over-year AI hiring rate worldwide.

The report highlights how open source AI is enabling localized innovation, with examples such as Adalat AI for courtroom transcription, Farmers for Forests using AI for agroforestry monitoring, and Bhashini and Sarvam AI supporting multilingual digital access. These initiatives show how open source tools are being applied to both economic and social challenges.

Recommendations from the report include expanding workforce development through AI training programs like Skill India Digital Hub, creating a national open source AI strategy, and supporting small and medium businesses in adopting AI technologies. The findings position India as a key player in global AI development, leveraging open source to scale innovation across sectors.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Enterprise AI AI Brief AI Brief (X)
Free newsletter

Enterprise AI Brief

Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.