35% of geographies globally, including India, will be locked into Region-Specific AI platforms by 2027: Gartner

Gartner forecast 35% of geographies globally, including India, will be locked into Region-Specific AI platforms using proprietary contextual data by year 2027.

Gartner forecast 35% of geographies globally, including India, will be locked into Region-Specific AI platforms using proprietary contextual data by year 2027.

Geopolitical, Regulatory, and Security pressures would spur governments to boost investment in independent, country-specific AI infrastructure, the Stamford-based analyst firm said.

“Countries with digital sovereignty goals are increasing investment in domestic AI stacks as they look for alternatives to the closed U.S. model, including computing power, data centers, infrastructure and models aligned with local laws, culture and region,” said Gaurav Gupta, VP Analyst at Gartner.

He further said, trust and cultural fit were emerging as key criteria. Decision makers were prioritising AI platforms that align with local values, regulatory frameworks, and user expectations over those with the largest training datasets.

Gartner also predicted that localised models would deliver more contextual value; and also regional LLMs would outperform global models in applications such as education, legal compliance, and public services, especially in non-English languages.

With non-Western customers changing alignment due to concerns of overly Western influence, AI sovereignty will lead to reduced collaboration and duplication of effort, according to Gartner. Because of this, it also forecast that nations establishing a sovereign AI stack would need to spend at least 1% of their GDP on AI infrastructure by 2029.