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1517482

全球人工智慧在再生能源市場規模研究（按部署類型、最終用途產業、組件類型和 2022-2032 年區域預測）

Global Artificial Intelligence in Renewable Energy Market Size Study, by Deployment Type, by End-Use Industry, by Component Type, and Regional Forecasts 2022-2032
出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 200 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2023年，全球人工智慧在再生能源市場的價值約為6.3億美元，預計在2024-2032年的預測期內將以超過24.6%的健康成長率成長。再生能源產業中的人工智慧（AI）包括開發能夠執行通常需要人類智慧的任務的電腦系統，例如學習、推理、解決問題和決策。人工智慧在包括再生能源在內的各個領域取得了顯著進步，其應用有可能徹底改變清潔能源的生產、分配和消費。

人工智慧在太陽能領域發揮著至關重要的作用，它透過追蹤太陽的運動並相應地調整電池板的角度來提高光伏板的效率。人工智慧驅動的演算法可分析天氣資料並預測雲端量，從而促進更好的電網整合和能源預測。此外，人工智慧也用於太陽能裝置的預測性維護，減少停機時間和維護成本。此外，人工智慧的進步和對再生能源的日益關注為市場擴張提供了巨大的機會。人工智慧對於透過分析歷史和即時資料來最佳化再生能源生產、透過預測和最佳化太陽能和風力發電來提高發電量至關重要。然而，人工智慧驅動技術的高成本將阻礙 2024-2032 年預測期內市場的整體需求。

全球再生能源市場人工智慧研究涵蓋的關鍵地區包括亞太地區、北美、歐洲、拉丁美洲和世界其他地區。由於人工智慧技術的早期採用和對再生能源項目的大量投資，北美在 2023 年佔據了市場主導地位。同時，由於該地區對再生能源的日益關注和人工智慧技術的快速採用，預計亞太地區在預測期內將以最快的速度成長。

目錄

第 1 章：再生能源市場中的全球人工智慧執行摘要

  • 全球人工智慧在再生能源市場規模及預測（2022-2032）
  • 區域概要
  • 分部摘要
    • 依部署類型
    • 按最終用途行業
    • 依組件類型
  • 主要趨勢
  • 經濟衰退的影響
  • 分析師推薦與結論

第 2 章：全球人工智慧在再生能源市場的定義與研究假設

  • 研究目的
  • 市場定義
  • 研究假設
    • 包容與排除
    • 限制
    • 供給側分析
      • 可用性
      • 基礎設施
      • 監管環境
      • 市場競爭
      • 經濟可行性（消費者的角度）
    • 需求面分析
      • 監理框架
      • 技術進步
      • 環境考慮
      • 消費者意識和接受度
  • 估算方法
  • 研究涵蓋的年份
  • 貨幣兌換率

第 3 章：再生能源市場動態中的全球人工智慧

  • 市場促進因素
    • 越來越多採用再生能源技術
    • 再生能源生產的最佳化
    • 預測性維護
  • 市場挑戰
    • 人工智慧驅動技術的高成本
  • 市場機會
    • 人工智慧技術的進步
    • 關注再生能源

第 4 章：全球人工智慧在再生能源市場產業分析

  • 波特的五力模型
    • 供應商的議價能力
    • 買家的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭競爭
    • 波特五力模型的未來方法
    • 波特的五力影響分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社會的
    • 技術性
    • 環境的
    • 合法的
  • 頂級投資機會
  • 最佳制勝策略
  • 顛覆性趨勢
  • 產業專家視角
  • 分析師推薦與結論

第 5 章：全球人工智慧在再生能源市場規模及 2022-2032 年部署類型預測

  • 細分儀表板
  • 再生能源市場中的全球人工智慧：部署類型收入趨勢分析，2022 年和 2032 年
    • 本地
    • 雲

第 6 章：全球人工智慧在再生能源市場規模及最終用途產業預測 2022-2032

  • 細分儀表板
  • 再生能源市場中的全球人工智慧：最終用途產業收入趨勢分析，2022 年和 2032 年
    • 能源生產
    • 能量傳輸
    • 能源分配
    • 公用事業

第 7 章：2022-2032 年全球人工智慧再生能源市場規模及按組件類型預測

  • 細分儀表板
  • 再生能源市場中的全球人工智慧：2022年和2032年組件類型收入趨勢分析
    • 解決方案
    • 服務

第 8 章：2022-2032 年全球人工智慧再生能源市場規模及地區預測

  • 北美再生能源市場中的人工智慧
    • 美國人工智慧在再生能源市場的應用
      • 2022-2032 年部署類型細分規模與預測
      • 2022-2032 年最終用途產業細分規模與預測
      • 2022-2032 年組件類型細分規模與預測
    • 加拿大人工智慧在再生能源市場的應用
  • 歐洲再生能源市場中的人工智慧
    • 英國人工智慧在再生能源市場的應用
    • 德國人工智慧在再生能源市場的應用
    • 法國人工智慧在再生能源市場的應用
    • 西班牙再生能源市場中的人工智慧
    • 義大利人工智慧在再生能源市場的應用
    • 歐洲其他地區再生能源市場中的人工智慧
  • 亞太地區人工智慧在再生能源市場的應用
    • 中國人工智慧在再生能源市場的應用
    • 印度人工智慧在再生能源市場的應用
    • 日本人工智慧在再生能源市場的應用
    • 澳洲人工智慧在再生能源市場的應用
    • 韓國人工智慧在再生能源市場的應用
    • 亞太地區其他地區人工智慧在再生能源市場的應用
  • 拉丁美洲再生能源市場中的人工智慧
    • 巴西再生能源市場中的人工智慧
    • 墨西哥再生能源市場中的人工智慧
    • 拉丁美洲其他地區再生能源市場中的人工智慧
  • 中東和非洲再生能源市場中的人工智慧
    • 沙烏地阿拉伯再生能源市場中的人工智慧
    • 南非再生能源市場中的人工智慧
    • 中東和非洲其他地區再生能源市場中的人工智慧

第 9 章：競爭情報

  • 重點企業SWOT分析
  • 頂級市場策略
  • 公司簡介
    • Vestas
      • 關鍵訊息
      • 概述
      • 財務（視數據可用性而定）
      • 產品概要
      • 市場策略
    • Siemens AG
    • General Electric
    • App Orchid
    • Alpiq Holding Ltd.
    • Origami
    • Flex Ltd.
    • Enphase Energy
    • Enel Spa
    • Atos SE

第 10 章：研究過程

  • 研究過程
    • 資料探勘
    • 分析
    • 市場預測
    • 驗證
    • 出版
  • 研究屬性
簡介目錄

Global Artificial Intelligence in Renewable Energy Market is valued at approximately USD 630 million in 2023 and is anticipated to grow with a healthy growth rate of more than 24.6% over the forecast period 2024-2032. The artificial intelligence (AI) in renewable energy industry encompasses the development of computer systems capable of performing tasks that typically require human intelligence, such as learning, reasoning, problem-solving, and decision-making. AI has significantly advanced across various sectors, including renewable energy, where its applications have the potential to revolutionize the generation, distribution, and consumption of clean energy.

Artificial intelligence plays a critical role in the field of solar energy by enhancing the efficiency of photovoltaic panels through tracking the sun's movement and adjusting the panels' angles accordingly. AI-driven algorithms analyze weather data and predict cloud cover, facilitating better grid integration and energy forecasting. Additionally, AI is utilized for predictive maintenance of solar installations, reducing downtime and maintenance costs. Moreover, advancements in AI and the growing focus on renewable energy sources present significant opportunities for market expansion. AI is essential in optimizing renewable energy production by analyzing historical and real-time data, improving power output by predicting and optimizing solar and wind power generation. However, the high cost associated with AI-driven technologies is going to impede the overall demand for the market during the forecast period 2024-2032.

The key regions considered for the Global Artificial Intelligence in Renewable Energy Market study include Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the market in 2023 due to the early adoption of AI technologies and substantial investments in renewable energy projects. Meanwhile, the Asia Pacific region is expected to grow at the fastest rate during the forecast period, driven by the increasing focus on renewable energy and the rapid adoption of AI technologies within the region.

Major market players included in this report are:

  • Vestas
  • App Orchid
  • Alpiq Holding Ltd.
  • Origami
  • Siemens AG
  • Flex Ltd.
  • Enphase Energy
  • Enel Spa
  • Atos SE
  • General Electric

The detailed segments and sub-segment of the market are explained below:

By Deployment Type:

  • On Premises
  • Cloud

By End-Use Industry:

  • Energy Generation
  • Energy Transmission
  • Energy Distribution
  • Utilities

By Component Type:

  • Solution
  • Service

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • RoMEA

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market

Table of Contents

Chapter 1. Global Artificial Intelligence in Renewable Energy Market Executive Summary

  • 1.1. Global Artificial Intelligence in Renewable Energy Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Deployment Type
    • 1.3.2. By End-Use Industry
    • 1.3.3. By Component Type
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Artificial Intelligence in Renewable Energy Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Artificial Intelligence in Renewable Energy Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Increasing Adoption of Renewable Energy Technologies
    • 3.1.2. Optimization of Renewable Energy Production
    • 3.1.3. Predictive Maintenance
  • 3.2. Market Challenges
    • 3.2.1. High Cost of AI-driven Technologies
  • 3.3. Market Opportunities
    • 3.3.1. Advancements in AI Technology
    • 3.3.2. Focus on Renewable Energy Sources

Chapter 4. Global Artificial Intelligence in Renewable Energy Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top investment opportunity
  • 4.4. Top winning strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Artificial Intelligence in Renewable Energy Market Size & Forecasts by Deployment Type 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global Artificial Intelligence in Renewable Energy Market: Deployment Type Revenue Trend Analysis, 2022 & 2032 (USD Million)
    • 5.2.1. On Premises
    • 5.2.2. Cloud

Chapter 6. Global Artificial Intelligence in Renewable Energy Market Size & Forecasts by End-Use Industry 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global Artificial Intelligence in Renewable Energy Market: End-Use Industry Revenue Trend Analysis, 2022 & 2032 (USD Million)
    • 6.2.1. Energy Generation
    • 6.2.2. Energy Transmission
    • 6.2.3. Energy Distribution
    • 6.2.4. Utilities

Chapter 7. Global Artificial Intelligence in Renewable Energy Market Size & Forecasts by Component Type 2022-2032

  • 7.1. Segment Dashboard
  • 7.2. Global Artificial Intelligence in Renewable Energy Market: Component Type Revenue Trend Analysis, 2022 & 2032 (USD Million)
    • 7.2.1. Solution
    • 7.2.2. Service

Chapter 8. Global Artificial Intelligence in Renewable Energy Market Size & Forecasts by Region 2022-2032

  • 8.1. North America Artificial Intelligence in Renewable Energy Market
    • 8.1.1. U.S. Artificial Intelligence in Renewable Energy Market
      • 8.1.1.1. Deployment Type breakdown size & forecasts, 2022-2032
      • 8.1.1.2. End-Use Industry breakdown size & forecasts, 2022-2032
      • 8.1.1.3. Component Type breakdown size & forecasts, 2022-2032
    • 8.1.2. Canada Artificial Intelligence in Renewable Energy Market
  • 8.2. Europe Artificial Intelligence in Renewable Energy Market
    • 8.2.1. U.K. Artificial Intelligence in Renewable Energy Market
    • 8.2.2. Germany Artificial Intelligence in Renewable Energy Market
    • 8.2.3. France Artificial Intelligence in Renewable Energy Market
    • 8.2.4. Spain Artificial Intelligence in Renewable Energy Market
    • 8.2.5. Italy Artificial Intelligence in Renewable Energy Market
    • 8.2.6. Rest of Europe Artificial Intelligence in Renewable Energy Market
  • 8.3. Asia-Pacific Artificial Intelligence in Renewable Energy Market
    • 8.3.1. China Artificial Intelligence in Renewable Energy Market
    • 8.3.2. India Artificial Intelligence in Renewable Energy Market
    • 8.3.3. Japan Artificial Intelligence in Renewable Energy Market
    • 8.3.4. Australia Artificial Intelligence in Renewable Energy Market
    • 8.3.5. South Korea Artificial Intelligence in Renewable Energy Market
    • 8.3.6. Rest of Asia Pacific Artificial Intelligence in Renewable Energy Market
  • 8.4. Latin America Artificial Intelligence in Renewable Energy Market
    • 8.4.1. Brazil Artificial Intelligence in Renewable Energy Market
    • 8.4.2. Mexico Artificial Intelligence in Renewable Energy Market
    • 8.4.3. Rest of Latin America Artificial Intelligence in Renewable Energy Market
  • 8.5. Middle East & Africa Artificial Intelligence in Renewable Energy Market
    • 8.5.1. Saudi Arabia Artificial Intelligence in Renewable Energy Market
    • 8.5.2. South Africa Artificial Intelligence in Renewable Energy Market
    • 8.5.3. Rest of Middle East & Africa Artificial Intelligence in Renewable Energy Market

Chapter 9. Competitive Intelligence

  • 9.1. Key Company SWOT Analysis
  • 9.2. Top Market Strategies
  • 9.3. Company Profiles
    • 9.3.1. Vestas
      • 9.3.1.1. Key Information
      • 9.3.1.2. Overview
      • 9.3.1.3. Financial (Subject to Data Availability)
      • 9.3.1.4. Product Summary
      • 9.3.1.5. Market Strategies
    • 9.3.2. Siemens AG
    • 9.3.3. General Electric
    • 9.3.4. App Orchid
    • 9.3.5. Alpiq Holding Ltd.
    • 9.3.6. Origami
    • 9.3.7. Flex Ltd.
    • 9.3.8. Enphase Energy
    • 9.3.9. Enel Spa
    • 9.3.10. Atos SE

Chapter 10. Research Process

  • 10.1. Research Process
    • 10.1.1. Data Mining
    • 10.1.2. Analysis
    • 10.1.3. Market Estimation
    • 10.1.4. Validation
    • 10.1.5. Publishing
  • 10.2. Research Attributes