Wind Turbine Automation Market is expected to reach US$ 38.6 Bn in 2032

By the end of 2021, the wind turbine automation market generated US$ 13.4 billion. The market for wind turbine automation is predicted to reach US$ 38.6 billion by 2032, growing at a CAGR of 10.2% from 2022 to 2032.

The automation of a wind turbine’s operational processes through the use of sensors, actuators, and various other software and hardware technologies, as well as the user presentation of the data gathered by these devices, is known as wind turbine automation. 10% of the world’s wind turbine market is made up of wind turbine automation.

The wind turbine automation market refers to the use of advanced control and monitoring systems to automate the operation of wind turbines. Wind turbines are an essential component of renewable energy infrastructure, and their efficient operation is critical to the success of wind farms. Automation systems can help improve the performance, reliability, and safety of wind turbines, while also reducing costs and minimizing downtime.

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The global wind turbine automation market has been growing steadily in recent years, driven by increasing demand for renewable energy and the need for more efficient and reliable wind turbine operation. The market is expected to continue to grow in the coming years, driven by technological advancements in automation systems and increasing investment in wind power generation.

Some of the key factors driving the wind turbine automation market include the increasing use of remote monitoring and control systems, the need for predictive maintenance and condition monitoring, and the growing demand for real-time monitoring and control of wind turbines. Other factors driving the market include the increasing use of artificial intelligence and machine learning technologies in wind turbine automation, the integration of energy storage systems with wind turbines, and the development of advanced control and monitoring systems for offshore wind farms.

Automation of Processes which are Difficult to be Done Manually

Windmills operate on the flow of the wind the generate electricity, due to this by nature windmills are an automated device to begin with. However, for windmills to generate electricity, they need to be placed at a certain height and angle, change in the direction of the winds can impact the electricity generation.

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Competitive Landscape

Several companies which develop solutions and instruments for industrial purposes have the technical expertise and background to develop systems for wind turbine automation and companies like Emerson and Siemens are proof of the same. Companies that operate in the wind turbine market often do not provide the entire hardware and software requirements of the wind farms and build parts of it.

  • In September 2022, Emerson entered into a deal with Taiyuan Heavy Industry (TYHI) and announced that it would provide the company with integrated wind turbine automated solutions and services for the operation of three greenfield wind farms based in China, accommodating 40 wind turbines capable of generating 300 MW.

Wind Turbine Automation Market by Category

By System:

  • SCADA Systems
  • Programmable Logic Controllers (PLC) Systems
  • Distributed Control Systems (DCS)
  • Condition Monitoring Systems (CMS)
  • Others

By Component:

  • Hardware
    • Controllers
    • Sensors
    • I/O Modules
    • Others
  • Software
    • SCADA Software
    • PLC Software
    • DCS Software
    • Others
  • Services
    • Energy Consulting & Planning
    • System Integration & Deployment
    • Monitoring & Inspection
    • Installation & Retrofitting
    • Support & Maintenance

By Application:

  • Offshore Wind Power Generation
  • Onshore Wind Power Generation

By Region:

  • North America
  • Latin America
  • Europe
  • East Asia
  • South Asia & Pacific
  • Middle East & Africa

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About the Author

Nikhil Kaitwade

Associate Vice President at Future Market Insights, Inc. has over a decade of experience in market research and business consulting. He has successfully delivered 1500+ client assignments, predominantly in Automotive, Chemicals, Industrial Equipment, Oil & Gas, and Service industries.
His core competency circles around developing research methodology, creating a unique analysis framework, statistical data models for pricing analysis, competition mapping, and market feasibility analysis. His expertise also extends wide and beyond analysis, advising clients on identifying growth potential in established and niche market segments, investment/divestment decisions, and market entry decision-making.
Nikhil holds an MBA degree in Marketing and IT and a Graduate in Mechanical Engineering. Nikhil has authored several publications and quoted in journals like EMS Now, EPR Magazine, and EE Times.

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