PUBLISHER: Grand View Research | PRODUCT CODE: 1750856
PUBLISHER: Grand View Research | PRODUCT CODE: 1750856
The global solar AI market size was estimated at USD 5.96 billion in 2024 and is projected to grow at a CAGR of 20.8% from 2025 to 2030. AI integration into solar design platforms is accelerating as companies work to automate and enhance the solar project lifecycle. With AI, design platforms can instantly analyze satellite imagery, shading, roof geometry, and energy consumption patterns to create highly customized system proposals. This integration reduces the time needed for manual surveys and engineering work, making project initiation much faster. It improves accuracy, helping installers minimize errors in system sizing, equipment selection, and installation planning.
Companies adopting AI-driven design tools are positioning themselves to handle higher project volumes with fewer resources. For instance, in February 2025, Sunnova Energy International, Inc., a U.S.-based company, partnered with OpenSolar to integrate AI-powered design into its Catalyst dealer platform, enabling faster, more accurate solar system proposals across the U.S. The partnership aims to improve efficiency, meet growing market demand, and set a new standard for speed and precision in solar deployments.
AI models are significantly transforming the solar energy industry by improving forecasting accuracy, which is crucial for optimizing energy production and consumption. By integrating real-time weather data with historical energy trends, these models provide more precise predictions about solar energy generation. This enhanced forecasting allows grid operators to better manage the distribution and storage of energy, ensuring that supply meets demand efficiently. As solar energy is intermittent, having accurate predictions helps prevent imbalances and reduces the risk of grid instability or blackouts. AI-driven solutions also enable more effective use of energy storage systems, ensuring that excess energy produced during peak sunlight hours is stored and used during low-generation periods.
The integration of solar energy, battery storage, and artificial intelligence (AI) is becoming important in the renewable energy market, especially for grid decarbonization. For instance, Amazon.com, Inc.'s Baldy Mesa solar-plus-storage farm shows how AI-driven solutions are enabling better energy forecasting, storage optimization, and grid stability, which are essential as renewable energy production is often intermittent. This trend shows a broader push to enhance energy system reliability, reducing dependence on fossil fuels while promoting cleaner alternatives. Furthermore, AI models help optimize when and how energy should be stored or distributed, ensuring a consistent flow of carbon-free power, even during non-peak production hours. With growing investments in energy storage and AI capabilities, the solar sector is evolving into a more efficient, responsive, and sustainable energy market. This trend signifies a shift toward more advanced grid integration technologies that will drive the next wave of clean energy innovation.
Global Solar AI Market Report Segmentation
This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global solar AI market report based on technology, application, end use, and region: