Making SMEs bigger with AI

India’s small and medium enterprises (SMEs) and corporate segment (SME&C) are the backbone of the nation’s economy— contributing over 30% to GDP and employing millions. Today, this sector stands at a defining moment: moving from traditional operations to AI-first business models that unlock scale, resilience, and global competitiveness. 

The transformation is profound. SMEs are no longer asking why digital?—they are asking how fast can we adopt AI to grow? Agentic AI is enabling this shift by automating marketing campaigns, optimizing inventory, and delivering hyper personalized customer experiences. Combined with Microsoft’s secure cloud and Copilot capabilities, SMEs gain enterprise-grade tools at SME-friendly economics, leveling the playing field with larger competitors. 

The impact is visible across India. Businesses are reducing operational costs through AI-driven workflows, expanding reach via digital commerce platforms, and using predictive analytics to make smarter decisions. These innovations are not just improving efficiency—they are creating new revenue streams, enabling cross-border trade, and fostering resilience in a volatile market. 

What excites us most is the uniquely Indian opportunity: a vibrant SME&C ecosystem that can leapfrog traditional growth curves by embracing AI-first strategies. With government initiatives like Digital India and Make in India accelerating adoption, SMEs have the chance to become global innovation hubs. 

Looking ahead, AI-first business models will become the norm, usage and consumption excellence will drive sustainable transformation, and human-agent collaboration will empower every entrepreneur to innovate confidently. 

At Microsoft, we are proud to partner with India’s SME&C leaders on this journey— bringing together cloud, AI, and Copilot to help them scale securely, compete globally, and thrive in a digital economy. Together, we will enable inclusive growth, create jobs, and position India’s SMEs as engines of innovation for the world.