Wind Turbine Automation Market Report 2025

This report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.

The wind turbine automation market size has grown strongly in recent years. It will grow from $15.56 billion in 2024 to $17.09 billion in 2025 at a compound annual growth rate (CAGR) of 9.8%. The growth in the historic period can be attributed to innovation in automation technology, cost reduction initiatives, scaling of wind energy capacity, supportive regulatory environment, emphasis on safety standards.

The wind turbine automation market size is expected to see strong growth in the next few years. It will grow to $22.59 billion in 2029 at a compound annual growth rate (CAGR) of 7.2%. The growth in the forecast period can be attributed to integration of automation with digitalization and IoT, advancements in artificial intelligence (AI) for wind turbines, adoption of automation in hybrid renewable energy systems, automation solutions for energy storage integration, automation solutions for offshore wind farms. Major trends in the forecast period include autonomous operations, predictive maintenance, edge computing and real-time monitoring, cybersecurity solutions, integration with grid management systems.

The increasing uptake of wind energy is projected to drive the expansion of the wind turbine automation market in the future. Wind energy harnesses the kinetic energy generated by air movement across the Earth's surface, primarily through wind turbines, to produce electricity. The rising adoption of wind energy is attributed to its sustainability and cost-effectiveness in renewable energy generation. Automation of wind turbines enhances operational efficiency, reliability, and safety. It enables monitoring, maintenance scheduling, fault detection, and performance optimization to boost energy production and decrease operational expenses. For example, the International Energy Agency reported a significant surge of 265 TWh in wind-generated electricity in 2022, marking a 14% increase from 2021, the second-largest growth among all power generation technologies. Wind energy remains the leading non-hydro renewable technology, with a production exceeding 2100 TWh in 2022, surpassing the combined output of all other renewable sources. Therefore, the increasing adoption of wind energy is propelling the growth of the wind turbine automation market.

Key players in the wind turbine automation market are concentrating on forging strategic partnerships to develop innovative products and fortify their market positions. A strategic partnership involves collaborative efforts between multiple entities, typically organizations or businesses, to achieve shared objectives or strategic aims. For instance, in September 2023, ABB Ltd., a Switzerland-based automation company, announced a partnership with WindESCo Inc., a US-based software company. As part of this alliance, ABB acquired a minority stake in WindESCo, aiming to enhance its wind energy portfolio by integrating WindESCo's digital solutions. This collaboration seeks to improve turbine performance and reliability, while also expanding WindESCo's offering in electrical system optimization. Through this partnership, both companies aim to provide comprehensive solutions to wind customers, enhance turbine performance and reliability, and explore new market opportunities for digital offerings.

In September 2023, ABB Ltd., a Switzerland-based automation technology firm, acquired WindESCo for an undisclosed sum. This acquisition paves the way for ABB to explore new market channels for its digital offerings, enabling the company to expand its customer base in the rapidly growing wind energy sector. It enhances ABB's competitiveness in the renewable energy market. WindESCo is a US-based technology company that focuses on delivering analytics software solutions designed to improve the performance and reliability of wind turbines.

Major companies operating in the wind turbine automation market are Siemens AG, General Electric, Mitsubishi Electric Corporation, Schneider Electric SE, Honeywell International Inc., ABB Ltd., Eaton Corporation, Parker Hannifin Corporation, Vestas Wind Systems A/S, Emerson Electric Co., Danfoss, Rockwell Automation Inc., Nordex SE, Omron Corporation, Fanuc Corporation, Enercon GmbH, Yaskawa Electric Corporation, Yokogawa Electric Corporation, Moog Inc., Suzlon Energy Limited, Axiomtek, Bachmann electronic GmbH, Inox Wind, Prima Automation.

Europe was the largest region in the wind turbine automation market in 2024. North America is expected to be the fastest-growing region in the forecast period. The regions covered in the wind turbine automation market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the wind turbine automation market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The wind turbine automation market consists of revenues earned by entities by providing services such as predictive analytics and maintenance services, remote monitoring and diagnostics services, and retrofit and upgrade services. The market value includes the value of related goods sold by the service provider or included within the service offering. The wind turbine automation market also includes sales of SCADA (Supervisory Control and Data Acquisition) systems, condition monitoring systems, and control systems and software that are used in providing the services. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

Wind turbine automation involves the integration of technology to control and optimize the operation of wind turbines, aiming to enhance efficiency and reduce downtime. This automation encompasses real-time monitoring, blade pitch control, regulation of power output, and system diagnostics to improve performance and reliability.

The primary types of wind turbine automation include supervisory control and data acquisition (SCADA) systems, programmable logic controllers (PLC) systems, distributed control systems (DCS), condition monitoring systems (CMS), and others. SCADA systems are centralized software applications utilized for remote monitoring, control, and analysis of industrial processes or infrastructure. These systems consist of hardware, software, and services and find application in various sectors such as offshore wind power generation, onshore wind power generation, and others.

The wind turbine automation market research report is one of a series of new reports that provides wind turbine automation market statistics, including wind turbine automation industry global market size, regional shares, competitors with a wind turbine automation market share, detailed wind turbine automation market segments, market trends and opportunities, and any further data you may need to thrive in the wind turbine automation industry. This wind turbine automation market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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