Indian AI in Manufacturing Market Size to Reach $14.8 Billion by 2035

Indian AI in manufacturing market is projected to grow from $656.1 million in 2025 and is projected to reach $14,847.0 million by 2035, growing at a CAGR of 36.6% during the forecast period 2026-2035. The Indian AI in manufacturing market is steadily evolving as industries increasingly integrate intelligent systems into core production processes. Manufacturers are adopting AI-driven solutions to improve operational efficiency, enhance product quality, and support real-time decision-making on the shop floor. Technologies such as machine learning, computer vision, and predictive analytics are being applied to reduce downtime and improve equipment performance. The shift toward connected and data-driven manufacturing environments is also gaining momentum, supported by the expansion of digital infrastructure. Growing emphasis on automation and process optimization is encouraging firms to modernize traditional manufacturing systems. This transition is gradually reshaping production practices across multiple industrial segments.

Browse the full report description of “Indian Artificial Intelligence (AI) in Manufacturing Market Size, Share & Trends Analysis By Component (Hardware, Software, and Services), By Technology (Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI, and Others), By Deployment Mode (On-Premise and Cloud), By Application (Predictive Maintenance, Quality Inspection, Production Optimization, Supply Chain Optimization, and Industrial Automation), and By End-Use Industry (Automotive, Electronics & Semiconductors, Aerospace & Defense, Pharmaceuticals, Food & Beverage, Chemicals, Consumer Goods, and Others) Forecast Period (2026-2035)” at https://www.omrglobal.com/industry-reports/india-ai-in-manufacturing-market

Several structural factors are contributing to the expansion of AI adoption in the manufacturing sector in India. Rising demand for improved supply chain visibility and operational resilience is prompting companies to invest in intelligent manufacturing solutions. The availability of advanced cloud platforms and edge computing capabilities is further enabling the scalable deployment of AI applications. Industrial players are also focusing on improving sustainability and resource efficiency through data-driven decision-making. Collaboration between technology providers and manufacturing firms is supporting the development of customized AI tools for sector-specific needs. Overall, the market is moving toward more automated, responsive, and interconnected manufacturing ecosystems.

IndiaAI Mission Strengthens Compute Infrastructure and Industrial AI Capability

In March 2026, the Government of India advanced its national artificial intelligence ecosystem through the expansion of the IndiaAI Mission, focusing on strengthening compute accessibility and supporting AI development across industries. The initiative has enabled large-scale provisioning of high-performance computing resources, including advanced GPUs, to startups, academic institutions, and research organizations at more accessible terms. This development is intended to support the growth of AI-driven applications across sectors such as manufacturing, where computational capability is critical for predictive systems, automation, and process optimization. The program has also facilitated a broad portfolio of approved projects spanning government bodies, early-stage startups, and research institutions, indicating a diversified innovation base. In parallel, efforts under the National Supercomputing Mission are contributing to indigenous capabilities in processors and accelerators, which are essential for industrial AI deployment. Overall, these measures are reinforcing the technological foundation required for scaling AI applications in manufacturing ecosystems across the country.

Competitive Landscape of the AI in Manufacturing Market

The key players in the AI in manufacturing market are Tata Consultancy Services Ltd., Infosys Ltd., Wipro Ltd., HCL Technologies Ltd., and Tech Mahindra Ltd., among others. Several established technology service providers are actively shaping the adoption of AI-driven solutions within manufacturing environments through digital engineering, industrial automation platforms, and data analytics capabilities. These firms are supporting manufacturers in areas such as predictive maintenance, process optimization, and quality control by integrating AI into existing production systems. Their offerings are also enabling the development of connected factories through cloud-based architectures and intelligent monitoring tools. This involvement is contributing to the broader shift toward digitally enabled and efficiency-focused manufacturing operations.

Market Coverage

• The market number available for – 2025-2035
• Base year- 2025
• Forecast period- 2026-2035
• Segment Covered-
  • By Component
  • By Technology
  • By Deployment Mode
  • By Application
  • By End-Use Industry
• Competitive Landscape - Tata Consultancy Services Ltd., Infosys Ltd., Wipro Ltd., HCL Technologies Ltd., and Tech Mahindra Ltd., among others.

Key questions addressed by the report.

• What is the market growth rate?
• Which segment and region dominate the market in the base year?
• Which segment and region will project the fastest growth in the market?
• Who is the leader in the market?
• How are players addressing challenges to sustain growth?
• Where is the investment opportunity?

Indian AI in Manufacturing Market Report Segment

By Component

• Hardware
• Software
• Services

By Technology

• Machine Learning
• Deep Learning
• Computer Vision
• NLP
• Generative AI
• Others

By Deployment Mode

• On-Premise
• Cloud

By Application

• Predictive Maintenance
• Quality Inspection
• Production Optimization
• Supply Chain Optimization
• Industrial Automation

By End-Use Industry

• Automotive
• Electronics & Semiconductors
• Aerospace & Defense
• Pharmaceuticals
• Food & Beverage
• Chemicals
• Consumer Goods
• Others

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