India is primed for the global AI race with 5 million IT workers and 7,114 AI startups raising $23 billion. Despite government backing via the IndiaAI Mission and its push for indigenous Large Multimodal Models, India has not yet developed a Large Language Model comparable to ChatGPT or China's DeepSeek. Experts emphasize the need for Indian startups to adopt a global perspective to compete effectively. The challenge lies not in catching up but in defining a unique AI identity while swiftly moving forward in the field.
According to data from market intelligence firm Tracxn, the Indian AI sector includes 7,114 startups that have collectively raised $23 billion (20.15 billion) in equity funding so far.
They will have to ultimately compete with the best in the world,” Singh said at the Accel AI Summit in Bengaluru. “Initial level of support may come from the government, but that will not sustain them in the long run.
The argument is not whether India can catch up, but whether we can move fast enough and define an AI identity on our own,
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