市場調查報告書
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1574125
能源和電力領域的人工智慧 (AI) 市場:2024-2029 年預測Artificial Intelligence (AI) in Energy and Power Market - Forecasts from 2024 to 2029 |
能源和電力領域的人工智慧 (AI) 市場預計將從 2024 年的 59.23 億美元增至 2029 年的 177.45 億美元,預測期內複合年成長率為 24.54%。
人工智慧 (AI) 正在成為能源和電力市場中越來越重要的工具。人工智慧可以自動化和改善能源相關流程,並提供更好的能源管理,以更低的成本實現更有效率的營運。此外,您還可以減少對環境的負面影響並全面啟動更好的改進。在能源領域,人工智慧主要用於需求預測。
此外,透過分析消費行為、天氣模式和其他變數的豐富資料,人工智慧系統可以更好地了解能源的使用方式,從而使公用事業公司能夠更好地利用其資源。人工智慧將用於創建更具成本效益的能源生產和供應系統。例如,機器學習演算法可以分析來自太陽能和風力發電系統的資料,以檢測模式並預測發電量。
此外,人工智慧驅動的系統可以監控和分析建築物內的能源消耗過程,識別能源浪費或使用效率低下的地方,並確定如何以節能解決方案取代能源。這不僅有可能減少溫室氣體排放,還可以降低業主和租戶的資本成本。然而,資料不足或過時可能會創建不正確的人工智慧模型,導致營運不良,從而造成財務損失和安全風險。因此,需要有效解決此制度問題,才能使市場不受阻礙地發展。
智慧電網是其中一個突出的應用,人工智慧正在能源和電力領域中得到應用。智慧電網提供電力,同時使用先進的感測器、通訊技術和自動化系統,以確保這些服務的高效提供。透過在決策制定時即時比較大量資料,公用事業公司可以利用人工智慧做出更好的決策,從而使執行更順暢並提高效能。
例如,2024年1月,西班牙Iberdrola Espana與BCAM合作進行了一個針對電網最佳化的AI創新資料計劃。該舉措是全球智慧電網創新中心的一部分,將在配電能力和效率方面提高電網服務的可及性和質量,特別是在可再生能源整合和經濟電氣化方面。
由於美國等國家可再生能源部署和智慧電網技術的顯著增加,預計北美將在人工智慧能源和電力市場中呈現最快的成長速度。美國政府增加使用可再生能源正在推動電力和能源產業人工智慧應用的增加。
美國能源資訊署報告稱,到 2022 年,可再生能源發電將占美國電力供應總量的約 13%。此外,到2022年,美國可再生能源消耗總量的約61%將來自電力部門,去年可再生能源占美國發電量的五分之一以上,即21%。此外,該地區擁有一流的公共產業和人工智慧技術供應商,垂直專注於智慧電網和綠色能源技術,從而推動未來幾年該地區市場的成長。
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Artificial Intelligence (AI) in the energy and power market is projected to witness a CAGR of 24.54% during the forecast period to reach US$17.745 billion by 2029, up from US$5.923 billion in 2024.
Artificial intelligence (AI) has been increasingly becoming a significant tool in the energy and power markets. It can automate and improve energy-related processes and provide more efficient operation at lower cost by providing better energy management. Additionally, it reduces adverse environmental impacts and fully initiates better enhancements. In energy sectors, AI is used mainly for demand forecasting.
Moreover, by analyzing the wealth of data available on consumer behavior, weather patterns, and other variables, AI systems can give a much more accurate idea of how energy is used, allowing utility companies to manage their resources better. AI is used to create more cost-effective energy production and distribution systems. For example, machine learning algorithms can analyze solar or wind energy systems data to detect patterns and predict how much power will be generated.
Additionally, AI-powered systems can monitor and analyze energy-consuming processes in buildings, identify where it is being wasted or used inefficiently, and how they can be replaced with an energy-saving solution. This has the potential to reduce greenhouse gas emissions as well as achieve capital cost savings for building owners and tenants. However, insufficient or outdated data could result in wrong AI models, leading to poor operationalization, financial loss, and safety danger. Hence, the system must be effectively dealt with for the market to grow without any hindrances.
One of the prominent applications is smart grids, where AI is employed in the energy and power sectors. Smart grids use advanced sensors, communication technologies, and automation systems while providing electricity to ensure an efficient delivery of these services. Comparing large volumes of data in real-time as they come to a decision helps the utility make decisions better with AI, which is applied for smoother execution and performance improvement.
For instance, in January 2024, Spain's Iberdrola Espana is teaming with BCAM on the AI Innovation Data Space project targeting grid optimization. The initiative is part of the Global Smart Grids Innovation Hub, an interoperable workspace aimed at enhancing the access and quality of grid services in terms of distribution capacity and efficiency, especially for renewable integration and economic electrification.
North America is expected to experience one of the fastest growth rates in the AI energy and power market due to high incremental changes in renewable energy adoption and smart grid technologies dominantly across countries such as the United States. The growth in the use of renewable energy sources by the United States government has facilitated an increase in AI applications across its power and energy industry.
The U.S. Energy Information Administration reported that renewable energy generated approximately 13 percent of the entire U.S. electricity supply in 2022. Additionally, about 61% of all U.S. renewable energy consumption in 2022 was in the electric power sector, and renewables accounted for more than a fifth, i.e., 21% of U.S. electricity generation last year. Additionally, this region boasts some of the top utilities and AI technology providers, with a vertical focus on smart grid and green energy technologies, leading to regional market growth in the years ahead.
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