Press release
Generative AI in Energy Market Projection: Climbing to USD 5,349.20 Million by 2032
Generative AI is making significant inroads into the energy sector, offering cutting-edge solutions for a variety of challenges and optimizing energy-related operations. Generative AI has the potential to revolutionize the energy industry, driving innovation across renewable energy, demand forecasting, grid management, and infrastructure planning. As the technology continues to advance, its applications and impact on the energy sector are expected to expand further.Market Size and Growth:
Generative AI in Energy Market Size was valued at USD 640.40 million in 2022. The Generative AI in Energy Market industry is projected to grow from USD 764.00 million in 2023 to USD 5,349.20 million by 2032, exhibiting a compound annual growth rate (CAGR) of 24.1% during the forecast period (2023 - 2032).
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Key Companies in the Generative AI in Energy Market Include
SmartCloud Inc
Siemens AG
ATOS SE
Alpiq AG
AppOrchid Inc
General Electric
Schneider Electric
Zen Robotics Ltd
Cisco
Freshworks Inc
C3 AI
Bidgely
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Applications in the Energy Industry:
Generative AI supports the integration of renewable energy sources into grid systems, identifies opportunities to reduce emissions, and supports the development of carbon capture and storage technology.
It can create novel and realistic data, optimize energy consumption, predict demand and supply, and aid in the development of new energy sources, reinforcing security measures in the energy sector.
Impact on Energy Grids:
Generative AI enhances the management and resilience of energy grids by analyzing sensor data, historical records, and real-time information. AI models can identify potential failures, predict maintenance needs, and optimize grid operations, ensuring a reliable energy supply and reducing downtime.
Environmental Considerations:
The environmental impact of generative AI models is a growing concern. Companies are exploring ways to make these systems greener, including using existing large generative models, fine-tuning existing models, and evaluating the energy sources of cloud providers or data centers.
Generative AI has the potential to revolutionize the energy industry, driving innovation across renewable energy, demand forecasting, grid management, and infrastructure planning. As the technology continues to advance, its applications and impact on the energy sector are expected to expand further.
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