In 2024, around 453 terawatt hours of wind electricity were generated in the United States. Wind has advanced to become the main source of renewable power generation in the U.S., ahead of conventional hydropower. Clean energy on the rise Recent years have seen significant increases in U.S. clean energy investments, specially the years between 2022 and 2022. In 2022, renewable investments rose to 141 billion U.S. dollars, an increase of almost 25 percent compared to the previous year. Larger investments in clean energy in the past decade have brought higher generation of wind and solar power. The globalized U.S. wind market Based in Copenhagen, the Danish company Vestas holds a large portion of the global wind manufacturer market share. In 2024, Vestas electricity deliveries were the highest to the U.S. Though the U.S. has generated increasing amounts of wind power, it continues to source much of its wind power turbines and equipment from international companies such as Vestas.

Wind Energy Index rose to 18 USD on June 23, 2025, up 1.24% from the previous day. Over the past month, Wind Energy Index's price has risen 6.01%, and is up 7.78% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Wind Energy Index.

The United Kingdom generated 82.3 terawatt hours worth of electricity and heat through wind power in 2023. Onshore wind farms produced 32.6 terawatt hours of power, which was less than the amount generated by farms situated offshore. Wind power capacities have steadily increased in the past year, with renewable energies taking up a greater share of the UK's energy mix, following the phase-out of coal.

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Wind Energy Market Size 2025-2029

The wind energy market size is forecast to increase by USD 70.9 billion at a CAGR of 8.7% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing awareness of environmental pollution and the global push towards renewable energy sources. However, the market faces substantial hurdles, with high upfront costs and investments required to establish wind energy projects. Energy policy and climate policy are shaping the market, pushing for grid parity and energy efficiency. Turbine efficiency is a key focus, with advancements in yaw control, torque control, and blade pitch enhancing power curve performance.
These financial constraints necessitate strategic planning and innovative financing models for companies seeking to capitalize on this market's potential. Navigating these challenges will be crucial for stakeholders looking to succeed in the market. Land use and turbine installation are also essential considerations, with power transmission infrastructure playing a crucial role in integrating wind power into the grid. Research and development in sustainable energy have led to the integration of battery energy storage and hydrogen storage for improved energy storage capabilities.

What will be the Size of the Wind Energy Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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In the dynamic market, meteorological data plays a crucial role in optimizing wind atlas analysis for site assessment. Circular economy principles are increasingly applied, with blade recycling and material recycling reducing operational costs and promoting green technology. Sustainable investing and green finance are driving the adoption of renewable energy portfolios, including both bottom-fixed and floating wind turbines.
Wind shear and wake effect management are essential for maximizing energy output from wind farms. Offshore substations are becoming more common, enabling larger wind farms and greater grid integration. Research and development in areas like battery energy storage, control systems, and condition monitoring are also crucial to optimizing energy yield and power output.

How is this Wind Energy Industry segmented?

The wind energy industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Onshore
  Offshore


End-user

  Industrial
  Commercial
  Residential


Component

  Turbines
  Support structures
  Electrical infrastructure
  Control systems
  Others


Geography

  North America

    US
    Canada
    Mexico


  Europe

    Germany
    UK


  APAC

    Australia
    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Type Insights

The onshore segment is estimated to witness significant growth during the forecast period. Wind power has experienced significant advancements in the last decade, driving down production costs by half for new onshore projects. This economic shift has positioned wind power as the most cost-effective source of electricity generation globally. Sweden, for instance, has set ambitious targets to expand onshore wind energy, with wind temporarily surpassing traditional sources in December 2024. In this record-breaking year, wind energy generated 40.8 TWh, accounting for a quarter of the nation's electricity mix, up from 22% in 2023. During this period, wind covered 35% of Sweden's electricity demand, underscoring its growing importance. Technological innovations have played a pivotal role in this progress.

For example, blade manufacturing has evolved with the use of carbon fiber, enhancing durability and energy yield. Wind turbine design has advanced, with rotor dynamics and control systems optimized for increased power output and grid integration. Environmental regulations have also influenced the wind power industry, with a focus on climate change mitigation and carbon emissions reduction. Wind energy associations have advocated for renewable portfolio standards and condition monitoring, ensuring wind farms operate efficiently and adhere to environmental guidelines.

Offshore wind has emerged as a promising sector, with offshore installation and capacity factor improvements contributing to increased power output. Despite these advancements, challenges remain. Wind direction and wind speed variability, noise pollution, and public acceptance are critical concerns.

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The Onshore segment was valued at USD 87.00 billion in 2019 and showed a gradual increase during the forecast period.

The Wind Energy Market is rapidly expanding as nations invest in sustainable pow

Wind power generation in India has increased considerably in the last few years. In 2023, the country produced roughly 82.1 terawatt-hours of electricity from wind energy. India's wind capacity target for 2030 is 170 gigawatts. To achieve this goal, India needs to quadruple its wind energy capacity in the coming years.

Wind energy sources accounted for nearly eight percent of electricity generation worldwide in 2023, up from a 7.3 percent share a year earlier. This was over double the share compared to 2015 values, the year Paris Agreement was adopted.

Prices for Wind Energy Index - 주가 including live quotes, historical charts and news. Wind Energy Index - 주가 was last updated by Trading Economics this May 31 of 2025.

Abstract:Monash University under commission of Geoscience Australia produced an offshore wind capacity factor map assessed at a 150m hub height applying the Bureau of Meteorology 10 year (2009-2018) “Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia” (BARRA) hindcast model. The wind capacity factor has been calculated using the bounding curve of all scaled power curves for wind turbines available within the Open Energy Platform as of 2021. Average wind capacity factor values were also calculated for the Vestas V126 3.45MW and the GE V130 3.2MW wind turbines and are available in this web map service.Lineage:The Monash University project report (Offshore wind capacity factor maps - evaluating Australia's offshore wind resources potential) which is associated to this metadata record, details the method used to produce the offshore wind capacity factor maps. The method included geospatial alignment of the raw data, wind speed interpolation at 150m, calculation of the mean and standard deviation for hourly wind speeds at 150m from 2009 to 2018, the application of the methods of moments technique to calculate the shape and scale parameter of the wind Weibull distribution and calculation of a bounding curve for the power curves of wind turbines.The maximum offshore wind generation potential was calculated through the generation of a bounding curve for the currently, as of 2021, wind turbine power curves within the Open Energy Platform. The Weibull distribution parameters and the bounding curve were then combined to calculate the wind capacity factor values.Average wind capacity factor values were also calculated for the Vestas V126 3.45MW and the GE V130 3.2MW wind turbines.© Commonwealth of Australia (Geoscience Australia) 2022.Downloads and Links:Web ServicesOffshore Wind Capacity Factor Maps (Map Server)Offshore wind Capacity Factor Maps (WMS)Downloads available from the expanded catalogue link, belowMetadata URL:https://pid.geoscience.gov.au/dataset/ga/146703

The cumulative capacity of installed wind power worldwide amounted to approximately 1,136 gigawatts in 2024. Onshore wind power accounted for the majority of total wind power capacity, at more than 1,000 gigawatts that year. Which country has the largest wind market? The largest wind power market in the world is China, with a capacity of over 560 gigawatts of wind power installed as of the end of 2024. China’s wind potential is remarkable due to a large land mass as well as a long coastline. China has set ambitious goals for adding offshore wind capacity, and offshore development has progressed quickly in the last years. Future of renewables Emerging markets such as those in Latin America and Southeast Asia are expected to drive the upcoming wind development market. Additional government support and policies will allow for faster market growth in these regions. Global wind energy generation as a share of total generation continues to grow as technologies become more cost-effective.

a) Description: A synthetic dataset consisting of 20.000 power and wind speed values. The goal of this dataset is to objectively quantify power curve modelling techniques for wind turbines.

b) Size: 580.0 kB

c) Platform: Any OS or programming language can read a txt file d) Environment: As this is a txt file, any modern OS will do. The txt file consists of comma seperated values so all modern programming languages can be used to read this file.

e) Major Component Description: There are 20.001 rows in the txt file. The first row indicates the headers of the columns. The other 20.000 lines indicate the corresponding values of the column. There are two columns, the first is the power and the second the wind speed.

f) Detailed Set-up Instructions: This depends on the platform and programming language. Since this is a txt file with tab seperated values, a broad range of options are possible and can be looked up.

g) Detailed Run Instructions: / h) Output Description: When plotting the wind speed values vs the power values using a scatter plot (e.g. matlab or python matplotlib), a power curve can be seen.

Overview The SUMR-D CART2 turbine data are recorded by the CART2 wind turbine's supervisory control and data acquisition (SCADA) system for the Advanced Research Projects Agency–Energy (ARPA-E) SUMR-D project located at the National Renewable Energy Laboratory (NREL) Flatirons Campus. For the project, the CART2 wind turbine was outfitted with a highly flexible rotor specifically designed and constructed for the project. More details about the project can be found here: https://sumrwind.com/. The data include power, loads, and meteorological information from the turbine during startup, operation, and shutdown, and when it was parked and idle. Data Details Additional files are attached: sumr_d_5-Min_Database.mat - a database file in MATLAB format of this dataset, which can be used to search for desired data files; sumr_d_5-Min_Database.xlsx - a database file in Microsoft Excel format of this dataset, which can be used to search for desired data files; loadcartU.m - this script loads in a CART data file and puts it in your workspace as a Matlab matrix (you can call this script from your own Matlab scripts to do your own analysis); charts.mat - this is a dependency file needed for the other scripts (it allows you to make custom preselections for cartPlotU.m); cartLoadHdrU.m - this script loads in the header file information for the data file (the header is embedded in each data file at the beginning); cartPlotU.m - this is a graphic user interface (GUI) that allows you to interactively look at different channels (to use it, run the script in Matlab, and load in the data file(s) of interest; from there, you can select different channels and plot things against each other; note that this script has issues with later versions of MATLAB; the preferred version to use is R2011b). Data Quality Wind turbine blade loading data were calibrated using blade gravity calibrations prior to data collection and throughout the data collection period. Blade loading was also checked for data quality following data collection as strain gauge measurements drifted throughout the data collection. These drifts in the strain gauge measurements were removed in post processing.

This data packet contains supply curves, hourly generation profiles, and a composite siting exclusion TIFF for land-based wind across the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), levelized cost of energy (LCOE), levelized cost of transmission (LCOT), and more for each reV site (~60,000 sites). Hourly generation profiles are available for each reV site and can be matched to the available capacity in the supply curve (refer to the Jupyter Notebook). The composite exclusion TIFF is a single file that delineates areas where wind installations are permissible based on various siting assumptions. This data packet contains information for the Reference and Limited siting scenarios. The turbine parameters used were a hub-height of 115 meters and a rotor diameter of 170 meters, as obtained from the Annual Technology Baseline (ATB) 2022. For further details and citation, please refer to the publication linked below: Lopez, Anthony, Pavlo Pinchuk, Michael Gleason, Wesley Cole, Trieu Mai, Travis Williams, Owen Roberts, Marie Rivers, Mike Bannister, Sophie-Min Thomson, Gabe Zuckerman, and Brian Sergi. 2024. Solar Photovoltaics and Land-Based Wind Technical Potential and Supply Curves for the Contiguous United States: 2023 Edition. Golden, CO: National Renewable Energy Laboratory. NREL/TP-6A20-87843.

China produced roughly 763 terawatt hours of electricity from wind energy in 2022. This was the peak from the period in consideration and an increase of almost 30 percent from the previous year.

GIS data for Bhutan's Wind Power Density at 50m Above Ground Level. NREL developed estimates of Bhutans wind resources at a spatial resolution of 1 km^2 using NREL's Wind Resource Assessment and Mapping System (WRAMS). Wind turbine output at a given site can be predicted using wind speed data and the turbine's power curve, which describes the turbines operating power at different wind speeds. Using data found from this analysis, estimates can be made for the best potential locations for wind energy throughout Bhutan.

The dataset contains average wind power plant capacity factors in Madagascar, produced by KTH-dESA. The dataset has a 1km x 1km resolution. The capacity factors have been calculated from annual average wind speeds retrieved from IRENA Global Atlas for Renewable Energy (https://irena.masdar.ac.ae/gallery/#gallery) which collects the data from DTU Global Wind Atlas 2.0, a free, web-based application developed, owned and operated by the Technical University of Denmark (DTU) in partnership with the World Bank Group, utilizing data provided by Vortex, with funding provided by the Energy Sector Management Assistance Program (ESMAP). For future information: https://globalwindatlas.info. The capacity factors have been calculated far a 600 kW wind turbine with 55m hub height. Wind speed data has been extrapolated from the measurement height of 50m for wind speed data to the hub height of the wind turbine. In the nect step 8760 hourly wind speed values were generated by applying a Rayleigh distribution with shape factor k=2. The hourly potential wind electricity generation was caculated from the hourly wind speed values and a power curve and summed for the whole year. This value has beendivided by the potential generation of the wind turbine if operating at rated capacity during all hours of the year to give the annual capacity factor.

Get the latest insights on price movement and trend analysis of Wind Energy in different regions across the world (Asia, Europe, North America, Latin America, and the Middle East & Africa).

This dataset provides future supply curves representing the total resource potential for land-based wind and solar photovoltaic (PV) deployment in the conterminous United States after accounting for the impact of land-use and land-cover change (LULC). We use LULC projections from 2010 to 2050 developed based on the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emission Scenarios. The LULC projections are subsequently fed into the renewable energy potential model (reV), which estimates total available wind and solar capacity after excluding non-developable land. Supply curves are provided for four IPCC scenarios in 2050: A1B, A2, B1, and B2. As a baseline, we also provide the supply curve from the B2 scenario in 2010. In addition to the supply curves, we also provide representative wind and solar generation profiles for each supply curve point. These generation profiles are provided as capacity factors and are based on a 2012 weather year using NSRDB and WindToolkit resource data. For more details on the supply curve and profile datasets included here please refer to README. Additional information on the supply curves and the LULC projections used to generate them, as well as an analysis of their impact on wind and solar deployment under decarbonization can be found in the publication linked below: "U.S. Wind and Solar PV Supply Curves with Future Land-use Change Publication".

The Canadian Wind Turbine Database contains the geographic location and key technology details for wind turbines installed in Canada. This dataset was jointly compiled by researchers at CanmetENERGY-Ottawa and by the Centre for Applied Business Research in Energy and the Environment at the University of Alberta, under contract from Natural Resources Canada. Additional contributions were made by the Department of Civil & Mineral Engineering at the University of Toronto. Note that total project capacity was sourced from publicly available information, and may not match the sum of individual turbine rated capacity due to de-rating and other factors. The turbine numbering scheme adopted for this database is not intended to match the developer’s asset numbering. This database will be updated in the future. If you are aware of any errors, and would like to provide additional information, or for general inquiries, please use the contact email address listed on this page.

Simulated capacity factors in Finland for six wind turbine models, Vestas V90-3.0 MW, V90-2.0 MW, V112-3.3 MW, V126-3.3 MW, V117-3.45 MW and V136-3.45 MW at four turbine hub heights 75, 100, 125, 150 m. Wind speed data are from Finnish Wind Atlas [1, 2], from which the Weibull distribution shape and scale parameters (labelled ‘Weibull all data k’ and ‘Weibull all data A’, respectively) and the frequencies of the wind sectors (‘Frequency all data’) were used.

File FWA_coordinates_2500m.csv holds the geographical coordinates (WGS 84) of the Wind Atlas in 2.5×2.5 km2 resolution.

To simulate a wind farm where each turbine experiences a slightly different wind speed, we used a normal distribution with variance (\sigma^2(v) = 0.2v + 0.6\,\mathrm{m/s}), (where v is wind speed) to smooth (convolute) the original power curves [3, 4].

The calculation of capacity factor cf at wind atlas grid point k is described by the formula (\mathit{CF}_k = \mathop{\mathbb{E}}_{i, s} g(v_i) \approx \sum_{s=1}^{12} f_{k,s} \sum_{i=1}^N p_{k,s}(v_i) g(v_i) \Delta v), where g(v) is the power curve function for current wind turbine model, vi the mean wind speed of bin i, fk,s the frequency of occurrence of wind direction s at point k, N the number of wind speed bins, pk,s(v) the Weibull probability density function for sector s at point k at the hub height and Δv the width of the wind speed bin.

References

Finnish Meteorological Institute, “Finnish Wind Atlas,” 2008. [Online]. Available: http://www.windatlas.fi. [Accessed: 28-Jun-2016]

B. Tammelin, T. Vihma, E. Atlaskin, J. Badger, C. Fortelius, H. Gregow, M. Horttanainen, R. Hyvönen, J. Kilpinen, J. Latikka, K. Ljungberg, N. G. Mortensen, S. Niemelä, K. Ruosteenoja, K. Salonen, I. Suomi, and A. Venäläinen, “Production of the Finnish Wind Atlas,” Wind Energy, vol. 16, no. 1, pp. 19–35, Jan. 2013.

Staffell, Iain, and Richard Green. 2014. “How Does Wind Farm Performance Decline with Age?” Renewable Energy 66. Elsevier Ltd: 775–86. doi:10.1016/j.renene.2013.10.041.

Staffell, Iain, and Stefan Pfenninger. 2016. “Using Bias-Corrected Reanalysis to Simulate Current and Future Wind Power Output.” Energy 114 (November): 1224–39. doi:10.1016/j.energy.2016.08.068.

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Wind Turbine Components Market Size 2025-2029

The wind turbine components market size is forecast to increase by USD 47.7 billion at a CAGR of 7.2% between 2024 and 2029.

The market is experiencing significant growth, driven by the expanding global wind power market and the consistently declining cost of wind power. This trend is expected to continue as renewable energy sources gain increasing importance in the global energy mix. However, the market faces challenges related to the complexity of materials, control systems, and energy storage. These obstacles require innovative solutions to ensure the efficiency and reliability of wind turbines, making it essential for industry players to invest in research and development. Companies seeking to capitalize on market opportunities must address these challenges effectively to remain competitive and meet the evolving demands of the wind energy sector.

What will be the Size of the Wind Turbine Components Market during the forecast period?

Request Free SampleThe market is characterized by continuous evolution and dynamic market activities. Renewable energy's increasing role in the global energy transition fuels the demand for advanced wind turbine technologies. Turbine control systems, environmental permitting, and grid interconnection are crucial elements in the development of onshore and offshore wind farms. Wind resource assessment, wind farm layout, and power electronics play a pivotal role in optimizing wind farm performance. Wind shear, site assessment, energy storage, and distributed wind are integral components of this intricate system. Wind sensors, wind resource assessment, and life cycle assessment are essential for ensuring energy yield and efficiency. Grid integration, yaw system, smart grid, and capacity factor are vital aspects of wind turbine design, ensuring optimal energy production and return on investment. The wind industry's ongoing focus on reducing carbon emissions and environmental impact necessitates the use of composite materials, fatigue analysis, and pitch systems. The cost of energy, energy policy, and utility-scale wind projects influence the market's supply chain dynamics. Wind speed and wind resource assessment are critical factors in the selection of wind turbine components, ensuring optimal energy production and minimizing the risk of structural damage. The wind industry's focus on energy efficiency and sustainability drives ongoing research and development in wind turbine technologies.

How is this Wind Turbine Components Industry segmented?

The wind turbine components industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. ApplicationOnshoreOffshoreProductWind turbine rotor bladesWind turbine gearboxesWind turbine generatorsWind turbine towersOthersGeographyNorth AmericaUSCanadaEuropeFranceGermanySpainUKAPACChinaIndiaJapanSouth AmericaBrazilRest of World (ROW)

By Application Insights

The onshore segment is estimated to witness significant growth during the forecast period.The market is experiencing significant growth as renewable energy, specifically wind power, becomes increasingly competitive with traditional energy sources. Onshore wind power plants, which house turbines on land, have seen a surge in development due to the reducing cost of power generation and technological innovations. Advanced technologies, such as Vestas' 4 MW platform, enable onshore turbines to operate efficiently in various wind conditions. Offshore wind, another segment of the market, is also gaining traction due to the high wind resource and potential for increased capacity factors. However, environmental permitting and grid interconnection pose challenges, requiring careful site assessment and wind resource evaluation. Structural analysis, wind turbine design, and power electronics play crucial roles in optimizing wind energy production. Wind shear, a critical factor in wind farm layout, is analyzed to ensure maximum energy yield and efficiency. Energy storage solutions and smart grid integration are essential for managing the intermittency of wind power. Utility-scale wind projects, driven by energy policy and carbon emissions reduction targets, require extensive supply chain management and cost-effective solutions. Wind farm development, from site assessment to power purchase agreements, involves a complex process of balancing environmental impact, energy efficiency, and return on investment. Composite materials and fatigue analysis are essential for enhancing turbine durability and performance. The market is expected to continue evolving as the energy transition progresses, with a focus on increasing capacity factors, improving energy efficiency, and reducing the cost of energy. Wind resource assessme