The Agentic AI In Energy Market is being driven by Critical imperative for grid modernization and resilience
The Agentic AI In Energy Market is expected to grow at a CAGR of 34.9% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 1564 million. In the energy sector, the transition from predictive analytics to agentic artificial intelligence (AI) marks a significant shift towards autonomous grid operations. Beyond forecasting potential failures or imbalances, AI agents now possess the power to execute decisions and take real-time physical or digital actions to ensure grid stability, optimize power flow, and address asset degradation proactively. These AI agents serve as the intelligent operational core of a digital twin, a high-fidelity virtual representation of the physical grid. By continuously analyzing data from sensors, weather models, and consumer demand patterns, these sophisticated AI systems can detect subtle anomalies that human detection may overlook.
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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 |
251 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 34.9% |
Market growth 2025-2029 |
USD 1564 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
29.7 |
Key countries |
US, Germany, China, UK, Canada, France, Japan, India, Brazil, and South Korea |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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In the realm of Agentic AI, the energy sector is witnessing significant advancements through automation of energy systems, modernization of grids, and management of energy assets. Sustainable energy solutions are prioritized, with infrastructure upgrades, energy data visualization, and power generation scheduling leading the charge. AI aids in energy price prediction, devising energy security strategies, and reducing peak demand and carbon footprints. Renewable energy policies, efficiency standards, and consumption patterns are analyzed using AI tools. Battery storage, fuel cells, hydrogen energy, thermal energy, and building energy modeling are transformed. Industrial energy efficiency, waste-to-energy conversion, decarbonization, climate change mitigation, and environmental impact assessments are optimized. Power system reliability and cybersecurity for energy systems are ensured through AI applications.
In the dynamic energy market, Agentic AI is revolutionizing business operations through AI-driven energy optimization and predictive maintenance algorithms. These advanced technologies enable energy companies to optimize energy consumption, reduce operational costs, and enhance overall efficiency. Moreover, Agentic AI's expertise in renewable energy integration enables seamless integration of renewable energy sources into the grid, ensuring a sustainable and eco-friendly energy future. According to Technavio, the global IT software market, which encompasses companies providing application software, is projected to grow significantly due to the increasing adoption of advanced technologies like Agentic AI's solutions.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
Jesse Maida
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