Google has launched a new Market Access Program aimed at helping Indian AI startups scale globally, coinciding with the projected growth of India’s AI market to $126 billion by 2030.
With India’s artificial intelligence (AI) market projected to reach $126 billion by 2030, Google has introduced a new Market Access Program designed to assist Indian AI startups in scaling their operations and expanding into global markets.
Announced during the Google AI Startups Conclave in New Delhi, the program aims to support startups from their initial seed stage to full-scale operations. Preeti Lobana, Vice President and Country Manager for Google India, emphasized the importance of this initiative, stating, “If you solve for India, you build for the world. Our focus now is accelerating how quickly Indian startups can scale, reach global markets, and deliver outcomes.”
Lobana noted that India’s AI startup ecosystem is entering a transformative phase, moving from prototypes to market-ready products and transitioning from early traction to sustainable business models. Google’s comprehensive support for startups encompasses capability building, real-world deployment, and scaling, addressing challenges at every critical stage of development.
The Market Access Program is specifically tailored for AI-first startups that are prepared to scale responsibly. It focuses on three key outcomes: enhancing enterprise readiness through global selling expertise, providing access to Google’s extensive enterprise network, and facilitating global immersion in key international markets.
To bolster the capabilities of these startups, Google also announced the upcoming Global AI Hub in Visakhapatnam. This facility, which will be powered by green energy and feature 1-gigawatt computing resources, is designed to equip startups with the high-performance computing necessary to refine their AI models on a global scale.
In addition to the Market Access Program, Google unveiled new updates to its Gemma model family, specifically targeting areas of rapid adoption in India, such as population-scale healthcare AI and action-oriented, on-device agents. The latest iteration, MedGemma 1.5, enhances Google’s health-focused AI initiatives by enabling developers to create applications that support complex medical imaging workflows.
The release of MedGemma 1.5 follows a collaboration between Google and the All India Institute of Medical Sciences (AIIMS), which is utilizing the model to develop India’s Health Foundation Models. This partnership contributes to the country’s Digital Public Infrastructure and enhances health outcomes across the ecosystem.
To support the growing demand for agent-based systems, Google introduced FunctionGemma, a specialized version of the Gemma 3 model. FunctionGemma is designed for function calling, allowing startups to translate natural language commands into executable actions. This capability enables the development of on-device, low-latency applications with automated workflows that prioritize user privacy and can function effectively on low-end devices without a constant internet connection.
Together, these advancements expand the toolkit available to Indian founders, facilitating the transition from experimentation to deployment across healthcare, enterprise, and consumer applications at scale. Lobana highlighted that these models are supported by popular tools throughout the development workflow, including Hugging Face Transformers, Unsloth, Keras, and NVIDIA NeMo.
Alongside the Conclave, Inc42 released the “Bharat AI Startups Report 2026,” which was supported by Google. The report reveals a significant shift in the AI ecosystem, with 47% of enterprises already moving from pilot projects to full production. It also notes a decrease in innovation costs, as historically high computing expenses have hindered Indian startups. With public resources lowering entry barriers, funding is increasingly directed toward product innovation rather than infrastructure costs.
India’s unique challenges, including its 22 languages, inconsistent connectivity, and price sensitivity, have often been viewed as obstacles. However, the report reframes these challenges as assets, suggesting that if an AI solution can effectively serve rural users in India, it is robust enough for global markets. The concept of “Bharat-tested” technology is emerging as a new benchmark for resilience.
The competitive landscape is shifting towards trust-by-design, with startups that prioritize safety, privacy, and security from the outset gaining a significant advantage in securing long-term enterprise contracts.
Ultimately, the success of AI initiatives will be measured by their outcomes. Examples include Cloudphysician, which has reduced ICU mortality rates by 40%, and Rocket Learning, which personalizes education for millions of students. Lobana concluded, “By stitching together skilling, capital, infrastructure, and market access, we are clearing the path for founders. As we look to the AI Impact Summit in February, the signal is clear: The future of AI isn’t just being used in India; it is being built here.”
According to Inc42, the launch of the Market Access Program marks a pivotal moment for Indian AI startups, positioning them to thrive in a rapidly evolving global landscape.