The Generative AI In Energy Market is being driven by Imperative to manage the unprecedented complexity of the global energy transition
The Generative AI In Energy Market is expected to grow at a CAGR of 32.1% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 2915.5 million. In the dynamic generative AI in energy market, there is a notable shift from exploratory use of general-purpose models to the strategic deployment of domain-specific, finely-tuned solutions. Initially, energy sector leaders employed broad large language models (LLMs) for generic tasks. However, the true value and competitive edge are now recognized in customizing these models to the energy industry's unique lexicon, physics, and safety protocols. This trend is fueled by the demand for increased accuracy, reliability, and risk mitigation in the context of critical energy infrastructure. Domain-specific generative AI models can effectively understand and process the intricate technical language of power systems engineering manuals and the complex geological data in drilling reports, outperforming general-purpose models in this context.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
241 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 32.1% |
Market growth 2025-2029 |
USD 2915.5 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
29.3 |
Key countries |
China, India, Japan, South Korea, Germany, UK, France, US, Canada, and Brazil |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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In the realm of Generative AI, advancements are being made in various sectors of the energy market. These include energy data visualization for improved asset management, power grid modernization for proactive energy solutions, and real-time energy monitoring for grid fault detection and anomaly detection. Energy infrastructure planning, energy transition pathways, and renewable energy integration are also being addressed, with a focus on building and industrial energy efficiency, electric vehicle charging, hydrogen energy production, and fusion energy research. Carbon capture technology, energy conservation strategies, and cost reduction measures are also on the agenda, as well as peak demand reduction through distributed generation systems, microgrid technologies, and offshore wind development.
In the dynamic energy market, Generative AI plays a pivotal role through its applications in ai-powered energy prediction, renewable energy forecasting, smart grid optimization, and energy efficiency modeling. These advanced technologies enable businesses to optimize energy consumption, enhance grid stability, and improve overall energy management. Technavio's market analysis covers the global IT software market, which encompasses companies providing application software, including those specializing in energy management solutions. Our research focuses on businesses engaged in developing and producing software for energy prediction, renewable energy forecasting, and smart grid optimization, contributing significantly to the growth of the application software market within the IT software industry.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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