Table of Contents
The Global AI in Renewable Energy Market is expected to grow significantly, from USD 8 billion in 2024 to USD 78.2 billion by 2034, registering a CAGR of 25.60%. This growth is driven by the increasing adoption of artificial intelligence (AI) to optimize renewable energy systems, such as solar and wind power.
In 2024, the cloud-based segment led the market with over 56% market share, providing scalable and flexible solutions to handle vast amounts of data. The demand forecasting and energy generation segments also held significant shares, capturing 30% and 35%, respectively.

Asia-Pacific led the market, accounting for 35% of the share in 2024, with China being the primary driver. China’s market was valued at USD 1.12 billion and is expected to grow at CAGR of 27.8%.
This surge is attributed to strong government policies supporting renewable energy and AI technology integration. As AI continues to optimize energy production, storage, and distribution, its role in the renewable energy sector will only increase.
Analyst Viewpoint
The AI in renewable energy market is on a robust growth trajectory, primarily driven by the increasing demand for energy efficiency and optimization in renewable systems. Cloud-based solutions dominate the market, offering flexibility and scalability for large-scale renewable energy operations.
AI technologies like demand forecasting and energy generation optimization are central to this growth, as they enable better grid management and energy distribution. Asia-Pacific, particularly China, remains the dominant region. With an expected CAGR of 25.60%, AI in renewable energy is poised to become a key enabler of sustainable energy solutions globally.
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Key Takeaways
- Projected market size: USD 8 billion in 2024, reaching USD 78.2 billion by 2034
- CAGR of 25.60% expected from 2025 to 2034
- Cloud-based solutions lead with 56% market share
- Demand forecasting holds 30% of the market share
- Energy generation segment captures 35% of the market
- Asia-Pacific dominates with 35% share in 2024, driven by China
- China’s AI in renewable energy market expected to grow at 27.8% CAGR
Business Opportunities
The AI in renewable energy market offers significant opportunities for businesses focusing on cloud-based solutions and data management platforms that handle large amounts of energy data. Companies can leverage AI for demand forecasting, energy generation optimization, and grid management, especially in solar and wind energy sectors.
The rapid growth in Asia-Pacific, particularly in China, presents vast expansion opportunities. Innovators can develop AI-driven solutions for predictive maintenance, energy storage, and supply chain optimization. The transition to cleaner, more efficient energy systems creates long-term opportunities for businesses offering AI-powered renewable energy solutions globally.
Regional Analysis
Asia-Pacific is the largest market for AI in renewable energy, accounting for 35% of the global share in 2024, with revenues totaling USD 2.8 billion. China is the leading country in the region, with the market projected to reach USD 1.12 billion in 2024, growing at an impressive CAGR of 27.8%.
The strong government focus on renewable energy integration, supported by AI technologies, is driving growth. North America and Europe are also key regions for AI adoption in renewable energy, though Asia-Pacific remains the fastest-growing market, with increased investments in smart grid technology and AI solutions.
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Key Segmentation
The AI in renewable energy market is segmented by technology, application, region, and end-user industry. Cloud-based solutions lead with 56% of the market share, enabling scalable management of energy data.
The demand forecasting segment holds 30% of the market, while energy generation captures 35% of the share. Asia-Pacific dominates, holding 35% of the market share, with China leading the way. North America follows closely, driven by innovations in smart grids and AI-powered energy solutions in renewable energy systems.
Key Player Analysis
Key players in the AI in renewable energy market are developing cloud-based platforms that offer scalable solutions for managing renewable energy data. Companies are leveraging AI algorithms for demand forecasting and energy generation optimization to improve grid efficiency.
Strategic partnerships with energy providers and technology companies are essential for expanding market share. Innovation in energy storage, smart grids, and predictive maintenance are crucial for staying competitive. Companies are also focusing on developing AI-powered renewable energy solutions to meet the growing demand for sustainable energy systems.
Top Key Players in the Market
- Google DeepMind
- IBM Corporation
- Siemens
- GE Renewable Energy
- Schneider Electric
- Microsoft
- Vestas
- Atos SE
- Origami
- Omdena Inc.
- Enel Group
- Alpiq Holding Ltd.
- Other Key Players
Recent Developments
Recent developments in the AI in renewable energy market include advancements in cloud-based AI solutions, allowing for scalable and flexible energy management. Companies are increasingly using AI for predictive maintenance, helping to minimize downtime and optimize energy generation.
Demand forecasting technologies are being integrated into smart grids, improving energy distribution and consumption efficiency. In Asia-Pacific, particularly in China, there has been a strong push for integrating AI with renewable energy systems, driving growth in solar and wind power projects. Additionally, energy storage optimization through AI is gaining traction to ensure stable power supply in renewable energy grids.
Conclusion
The AI in the renewable energy market is growing at a rapid pace, driven by increasing adoption of cloud-based solutions and AI technologies in energy generation and demand forecasting. Asia-Pacific, especially China, remains the leading region, with significant investments in renewable energy infrastructure.
With a projected CAGR of 25.60%, businesses focusing on AI-powered renewable energy solutions, including smart grid technologies and energy optimization, will play a pivotal role in shaping the future of sustainable energy systems globally. The market presents long-term growth opportunities for innovators in energy efficiency.
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