India's micro, small, and medium enterprises (MSMEs) are the backbone of the country's economy. With over 7.5 crore registered units employing approximately 33 crore people, the sector is India's second-largest employer after agriculture and contributes roughly 30% of the country's GDP. Yet when it comes to artificial intelligence, the vast majority of these businesses are still on the sidelines.
The numbers are stark. While AI adoption in India's organized manufacturing sector sits at roughly 25%, the rate among MSMEs is significantly lower. A PwC report estimates that AI could unlock nearly $150 billion in value for manufacturing-focused MSMEs by 2035, but the path from potential to realization is blocked by a combination of cost concerns, skill gaps, and a perception that AI is a luxury rather than a necessity.
The gap is not for lack of available technology. Cloud-based and plug-and-play AI solutions have made predictive maintenance, quality monitoring, and energy optimization accessible at price points that would have been unthinkable five years ago. These tools can deliver productivity gains of 15% to 30% for businesses that implement them. The problem is that most MSME owners do not know where to start, and the ecosystem that could guide them, from government programs to private consultancies, is still underdeveloped.
The contrast with global peers is instructive. In China, Germany, and the United States, manufacturing AI adoption rates range from 35% to 40%. South Korea reports 28% adoption among enterprises with 10 or more employees. India's lag is not primarily about technology availability; it is about awareness, trust, and the capacity to experiment.
The government's role has been limited. While the Draft e-Pharmacy Rules and various digital India initiatives have pushed broader digitization, there is no coordinated national program specifically targeting AI adoption among MSMEs. The NITI Aayog has published discussion papers on AI strategy, but implementation at the ground level, where a small manufacturer in Coimbatore or a textile unit in Surat operates, remains fragmented.
Industry voices have been increasingly vocal about the urgency. At a recent Bangalore Chamber of Industry and Commerce event, speakers emphasized that AI in manufacturing is not about replacing workers but enhancing their capabilities. The argument is that AI can free employees from repetitive tasks and allow them to focus on strategic and creative contributions. But that message needs to reach the shop floor, not just the conference stage.
For India's MSME ecosystem, the risk is a widening productivity gap between AI-enabled competitors and those that remain manual. As global supply chains become more demanding and export markets increasingly require digital traceability and quality assurance, the MSMEs that adopt AI early will capture market share from those that do not. The $150 billion figure is not a promise. It is a warning about what is at stake if adoption continues to stall.