The market size for India AI in manufacturing is estimated to reach USD 860.5 million in 2025 and is projected to grow to approximately USD 4,889.7 million by 2030, at a CAGR of 41.5%. Significant government initiatives, such as the PLI scheme for electronics, the India AI Mission, and the large-scale integration of AI applications to enhance productivity and optimize supply chains, are key drivers of this market growth. Innovations in industrial IoT and connected devices are significantly contributing to the artificial intelligence in manufacturing market. Additionally, the increasing adoption of AI-enabled decision-making processes and the growing demand for augmented intelligence to enhance workforce productivity are driving growth in the AI market in manufacturing.
The key players in this market are NVIDIA Corporation (US), IBM (US), Google (US), Microsoft (US), Intel Corporation (US), Siemens (Germany), GE Vernova (US), Honeywell International Inc. (US), Mitsubishi Electric Corporation (Japan), and UBTECH ROBOTICS CORP LTD (China). Indian-specific startups shaping the landscape include Neuralzome Cybernetic, Perceptyne Robots, and atimotors.com.
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In 2025, IBM announced a strategic partnership with the Indian government on the AI Mission. The partnership strategy aims to enhance AI infrastructure and capabilities across the manufacturing sector. This will strengthen the ecosystem by improving AI adoption and implementation, further solidifying its position in India's artificial intelligence, manufacturing, and industrial automation markets.
NVIDIA Corporation (US), a leading company, has captured a significant share of the India artificial intelligence in manufacturing market due to its innovative and effective AI chip offerings and computing solutions. As a prominent player in AI technology and hardware infrastructure, NVIDIA offers AI solutions that not only deliver accurate computational results but also provide effective support for manufacturing automation and optimization. Over the years, NVIDIA has continually improved and expanded its range of AI platforms and processors to deliver effective outcomes and high customer satisfaction in the manufacturing sector.
IBM (US) secured one of the highest market shares in the AI in manufacturing market in India. IBM specializes in AI software and enterprise solutions, and over time, it has become an important player in industrial automation and data analytics systems. The company is known for delivering excellent products with innovative features, such as ease of integration and deployment, improving the operational efficiency for manufacturers implementing AI solutions. In recent years, IBM has expanded in India and become better known to manufacturing enterprises through strategic partnerships and collaborations with the Indian government, aiming to introduce organizations to AI capabilities and help them gain better knowledge about digital transformation.
Market Ranking
The key players in the India artificial intelligence in manufacturing market have gained recognition for their comprehensive product offerings and continuous technological innovations. Some of the major players in the India artificial intelligence in manufacturing market include NVIDIA Corporation (US), IBM (US), Google (US), and Microsoft (US). NVIDIA and Google have gained recognition for offering sophisticated AI platforms and machine learning infrastructure, including easy-to-deploy models for industrial and enterprise use. IBM and Microsoft maintain market leadership through their integrated AI software solutions, enabling quick, precise analytics and prompt operational decision-making in both production and supply chain management settings. Other notable contributors, including Siemens, GE Vernova, and Honeywell International, are expanding and enriching the market with their innovative equipment for workflow efficiency and manufacturing quality. The key players have contributed significantly, increasing the reach of AI solutions in the India manufacturing market.
Related Reports:
India Artificial Intelligence in Manufacturing Market By Processor (MPUS, GPUs, FPGA, ASICs), Software (On-premises, Cloud), Technology (Machine Learning, NLP, Context-aware Computing, Computer Vision, Generative AI), Application - Forecast to 2030
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