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市场调查报告书
商品编码
1517482

全球人工智慧在再生能源市场规模研究（按部署类型、最终用途产业、组件类型和 2022-2032 年区域预测）

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个工作天内

价格
简介目录

2023年，全球人工智慧在再生能源市场的价值约为6.3亿美元，预计在2024-2032年的预测期内将以超过24.6%的健康成长率成长。再生能源产业中的人工智慧（AI）包括开发能够执行通常需要人类智慧的任务的电脑系统，例如学习、推理、解决问题和决策。人工智慧在包括再生能源在内的各个领域取得了显着进步，其应用有可能彻底改变清洁能源的生产、分配和消费。

人工智慧在太阳能领域发挥着至关重要的作用，它透过追踪太阳的运动并相应地调整电池板的角度来提高光伏板的效率。人工智慧驱动的演算法可分析天气资料并预测云端量，从而促进更好的电网整合和能源预测。此外，人工智慧也用于太阳能装置的预测性维护，减少停机时间和维护成本。此外，人工智慧的进步和对再生能源的日益关注为市场扩张提供了巨大的机会。人工智慧对于透过分析历史和即时资料来优化再生能源生产、透过预测和优化太阳能和风力发电来提高发电量至关重要。然而，人工智慧驱动技术的高成本将阻碍 2024-2032 年预测期内市场的整体需求。

全球再生能源市场人工智慧研究考虑的关键地区包括亚太地区、北美、欧洲、拉丁美洲和世界其他地区。由于人工智慧技术的早期采用和对再生能源项目的大量投资，北美在 2023 年占据了市场主导地位。同时，由于该地区对再生能源的日益关注和人工智慧技术的快速采用，预计亚太地区在预测期内将以最快的速度成长。

目录

第 1 章：再生能源市场中的全球人工智慧执行摘要

  • 全球人工智慧在再生能源市场规模及预测（2022-2032）
  • 区域概要
  • 分部摘要
    • 依部署类型
    • 按最终用途行业
    • 依组件类型
  • 主要趋势
  • 经济衰退的影响
  • 分析师推荐与结论

第 2 章：全球人工智慧在再生能源市场的定义与研究假设

  • 研究目的
  • 市场定义
  • 研究假设
    • 包容与排除
    • 限制
    • 供给侧分析
      • 可用性
      • 基础设施
      • 监管环境
      • 市场竞争
      • 经济可行性（消费者的角度）
    • 需求面分析
      • 监理框架
      • 技术进步
      • 环境考虑
      • 消费者意识和接受度
  • 估算方法
  • 研究考虑的年份
  • 货币兑换率

第 3 章：再生能源市场动态中的全球人工智慧

  • 市场驱动因素
    • 越来越多采用再生能源技术
    • 再生能源生产的优化
    • 预测性维护
  • 市场挑战
    • 人工智慧驱动技术的高成本
  • 市场机会
    • 人工智慧技术的进步
    • 关注再生能源

第 4 章：全球人工智慧在再生能源市场产业分析

  • 波特的五力模型
    • 供应商的议价能力
    • 买家的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争竞争
    • 波特五力模型的未来方法
    • 波特的五力影响分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社会的
    • 技术性
    • 环境的
    • 合法的
  • 顶级投资机会
  • 最佳制胜策略
  • 颠覆性趋势
  • 产业专家视角
  • 分析师推荐与结论

第 5 章：全球人工智慧在再生能源市场规模及 2022-2032 年部署类型预测

  • 细分仪表板
  • 再生能源市场中的全球人工智慧：部署类型收入趋势分析，2022 年和 2032 年
    • 本地
    • 云

第 6 章：全球人工智慧在再生能源市场规模及最终用途产业预测 2022-2032

  • 细分仪表板
  • 再生能源市场中的全球人工智慧：最终用途产业收入趋势分析，2022 年和 2032 年
    • 能源生产
    • 能量传输
    • 能源分配
    • 公用事业

第 7 章：2022-2032 年全球人工智慧再生能源市场规模及按组件类型预测

  • 细分仪表板
  • 再生能源市场中的全球人工智慧：2022年和2032年组件类型收入趋势分析
    • 解决方案
    • 服务

第 8 章：2022-2032 年全球人工智慧再生能源市场规模及地区预测

  • 北美再生能源市场中的人工智慧
    • 美国人工智慧在再生能源市场的应用
      • 2022-2032 年部署类型细分规模与预测
      • 2022-2032 年最终用途产业细分规模与预测
      • 2022-2032 年组件类型细分规模与预测
    • 加拿大人工智慧在再生能源市场的应用
  • 欧洲再生能源市场中的人工智慧
    • 英国人工智慧在再生能源市场的应用
    • 德国人工智慧在再生能源市场的应用
    • 法国人工智慧在再生能源市场的应用
    • 西班牙再生能源市场中的人工智慧
    • 义大利人工智慧在再生能源市场的应用
    • 欧洲其他地区再生能源市场中的人工智慧
  • 亚太地区人工智慧在再生能源市场的应用
    • 中国人工智慧在再生能源市场的应用
    • 印度人工智慧在再生能源市场的应用
    • 日本人工智慧在再生能源市场的应用
    • 澳洲人工智慧在再生能源市场的应用
    • 韩国人工智慧在再生能源市场的应用
    • 亚太地区其他地区人工智慧在再生能源市场的应用
  • 拉丁美洲再生能源市场中的人工智慧
    • 巴西再生能源市场中的人工智慧
    • 墨西哥再生能源市场中的人工智慧
    • 拉丁美洲其他地区再生能源市场中的人工智慧
  • 中东和非洲再生能源市场中的人工智慧
    • 沙乌地阿拉伯再生能源市场中的人工智慧
    • 南非再生能源市场中的人工智慧
    • 中东和非洲其他地区再生能源市场中的人工智慧

第 9 章：竞争情报

  • 重点企业SWOT分析
  • 顶级市场策略
  • 公司简介
    • Vestas
      • 关键讯息
      • 概述
      • 财务（视数据可用性而定）
      • 产品概要
      • 市场策略
    • Siemens AG
    • General Electric
    • App Orchid
    • Alpiq Holding Ltd.
    • Origami
    • Flex Ltd.
    • Enphase Energy
    • Enel Spa
    • Atos SE

第 10 章：研究过程

  • 研究过程
    • 资料探勘
    • 分析
    • 市场预测
    • 验证
    • 出版
  • 研究属性
简介目录

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