Global Wind and Solar Power Forecast System Market Strategic Research Report

Scope of the Report

The global Wind and Solar Power Forecast System market size is predicted to grow from US$ 603 million in 2025 to US$ 960 million in 2032; it is expected to grow at a CAGR of 6.8% from 2026 to 2032.

The wind and solar power forecasting system is a specialized software solution designed for wind farms, photovoltaic (PV) power plants, new energy centralized control centers, and grid dispatching agencies. It automates the forecasting, rolling adjustment, and result management of future wind and solar power generation. The system typically integrates numerical weather prediction, satellite remote sensing, ground meteorological observation, and real-time SCADA operation data of wind turbines and photovoltaic power plants, and combines physical models, statistical models, machine learning and artificial intelligence algorithms to generate ultra-short-term, short-term, day-ahead, intraday and medium-term power prediction results.

The market for wind and solar power forecasting systems is primarily driven by the continued expansion of global installed wind and solar capacity, the rising share of renewable energy integrated into the grid, and the increasing marketization of the power sector. Because wind and solar power generation are characterized by significant intermittency, volatility, and weather dependence, the accuracy of the power grid's future power generation is directly related to supply and demand balance, reserve capacity configuration, and system security as the proportion of new energy sources increases. Furthermore, with new energy companies participating in day-ahead, intraday, and real-time electricity markets, forecasting errors will directly affect deviation assessments and trading revenues. Therefore, high-precision power forecasting is gradually becoming a basic configuration for new energy power plants and dispatching agencies. Meanwhile, the rapid development of energy storage, virtual power plants, integrated wind-solar-storage systems, and centralized operation models for new energy sources has placed higher demands on multi-site, combined-level, and high-frequency rolling forecasts. The continuous maturation of high-resolution numerical weather prediction, satellite cloud images, real-time SCADA data, cloud computing, and AI and deep learning technologies has continuously improved forecast accuracy, automation levels, and adaptability to complex weather conditions, jointly driving the evolution of wind and solar power forecasting systems from traditional site auxiliary software to core digital systems for new energy dispatching, trading, and intelligent operation.

This report presents a comprehensive overview of the global Wind and Solar Power Forecast System market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.

Segment by Type

• Short-Term Forecasting
• Medium and Long Term Forecasting

Segment by Deployment Method

• Cloud-based
• On-premises

Segment by Predicted Object

• Turbine/Unit-level Forecasting
• Plant/Site-level Forecasting
• Others

Segment by players, this report covers

• State Power Rixin Tech
• energy & meteo systems
• Beijing East E-Energy Technology
• UL Solutions
• Vaisala
• DNV
• Guodian Nanjing Automation
• NR Electric
• Meteologica
• enfor
• Envision Energy
• Goldwind
• Meteomatics
• Amperon
• Weathernews
• ConWX
• Reuniwatt
• Steadysun
• Beijing Qingda Keyue
• Dongfang Electronics
• rebase.energy
• Stellerus
• StarSoul New Energy Technology
• Meta Carbon

Segment by Application

• Wind Power
• Solar Power
• Others

Who Can Use This Report?

This report is written for decision-makers who need a clear, data-backed view of the global Wind and Solar Power Forecast System market:

• Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
• Distributors, channel partners and end users in Wind Power, Solar Power, Others evaluating demand and sourcing options
• Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
• Government agencies, industry associations and research institutions tracking industry developments and policy impact