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Suzlon to Build 3 AI-Enabled Blade Factories to Boost Wind Manufacturing Capacity

Written by: Kusum KumariUpdated on: 4 Dec 2025, 10:59 pm IST
Suzlon to set up 3 AI-powered blade factories in Gujarat, Karnataka and a third location to speed up its 6 GW orderbook and expand smart wind manufacturing capacity.
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Suzlon Group has announced plans to establish 3 new AI-powered blade factories to accelerate execution of its growing wind energy orderbook and meet rising demand in India’s wind sector. The new factories will be located in Gujarat, Karnataka, and a third site currently being finalised, according to Co-Founder Girish Tanti.

India’s Largest Smart Wind Manufacturing Network

Suzlon already operates 5 blade factories in Jaisalmer, Bhuj, Ratlam, Dhule and Anantapur. With 3 additional units, the company will expand to 18 wind manufacturing facilities, creating India’s largest smart wind production network.

These factories will be situated near major wind project sites to reduce logistics costs and improve efficiency.

Investment and Funding Plan

The new plants will be funded within Suzlon’s existing annual capex of ₹500–550 crore, which will come entirely from internal accruals. The company is currently finalising costs, timelines and specific locations for the 3 factories.

AI-Driven Smart Factories for Higher Efficiency

Suzlon’s new facilities will be equipped with:

  • AI-enabled systems for quality and productivity
  • Automated manufacturing processes
  • Robotics for critical tasks
  • Digital platforms integrating MES, ERP and IoT
  • AI-based vision systems for instant defect detection
  • Safety and quality tools like AskCQMS and the SAFER app

These technologies aim to deliver faster, more reliable and transparent manufacturing.

Boost to Jobs and Domestic Manufacturing

The expansion will create 3,000 direct and 12,000 indirect jobs, with 80% employment in rural areas. Suzlon says the move supports India’s push for domestically manufactured, highly efficient wind energy equipment.

Orderbook at Record Levels

Suzlon currently has its highest-ever order book of over 6 GW, driven by strong demand from clean energy developers.

In FY24, the company increased its manufacturing capacity by 50%, from 3 GW to 4.5 GW, including new capacity in Ratlam and Jaisalmer.

It has already deployed automation in blade manufacturing and is now expanding a full digital architecture across all factories.

Read More: SEBI Considers Investor Suitability Rules for Derivatives.

Suzlon Energy Share Price Movement

Suzlon Energy share price (NSE: SUZLON) closed at ₹50.90, down 3.21% on December 4, 2025. The stock opened at ₹52.65 and hit an intraday high of ₹52.84, before slipping to a low of ₹50.60. Suzlon currently has a market capitalisation of ₹69,700 crore, with a P/E ratio of 22.03 and no dividend yield. Over the past year, the stock has traded between a 52-week high of ₹74.30 and a 52-week low of ₹46.15.

Conclusion

Suzlon’s plan to build 3 AI-driven blade factories marks a major step in strengthening India’s wind manufacturing ecosystem. With advanced automation, digital integration and strong domestic demand, the company is preparing for faster execution, higher quality standards and significant job creation, positioning itself as a leader in smart renewable energy manufacturing.

Disclaimer: This blog has been written exclusively for educational purposes. The securities mentioned are only examples and not recommendations. This does not constitute a personal recommendation/investment advice. It does not aim to influence any individual or entity to make investment decisions. Recipients should conduct their own research and assessments to form an independent opinion about investment decisions.

Investments in the securities market are subject to market risks, read all the related documents carefully before investing.

Published on: Dec 4, 2025, 5:27 PM IST

Kusum Kumari

Kusum Kumari is a Content Writer with 4 years of experience in simplifying financial market concepts. Currently crafting insightful content at Angel One, She specialise in breaking down complex topics into easy-to-understand pieces, blending expertise in market fundamentals and technical analysis.

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