查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1396960

可再生能源市場中的人工智慧：按部署類型、組件類型和最終用途行業：2023-2032 年全球機會分析和行業預測

Artificial Intelligence in Renewable Energy Market By Deployment Type, By Component Type, By End-Use Industry : Global Opportunity Analysis and Industry Forecast, 2023-2032
出版日期: | 出版商: Allied Market Research | 英文 242 Pages | 商品交期: 2-3個工作天內

價格

2022年全球可再生能源人工智慧市場規模為6億美元，預估2023年至2032年年複合成長率為23.2%，2032年達46億美元。

可再生能源中的人工智慧涉及應用電腦掌握和事實分析等人工智慧技術來改善再生能源的發電、儲存、分配和消耗。它涵蓋了廣泛的技術，包括預測建模、最佳化演算法和獨立管理系統，以最大限度地利用太陽能、風能和水力發電等可再生資源。

人工智慧預測建模可以準確預測太陽照度和氣候模式，從而實現更好的能源技術預測。人工智慧透過最佳化太陽能太陽能發電面板的放置和追蹤設備以在一天的某些階段利用最多的陽光來提高太陽能光伏發電發電系統的平均效率。

人工智慧的應用在風力發電廠中非常突出。機器學習演算法分析大量記錄來預測風型和渦輪機性能。這改善了渦輪機保護調度並增加了其自身的能源產量。人工智慧可以幫助管理電網。機器控制演算法分析即時事實以預測電力需求並發現電網中可採取行動的故障和故障。人工智慧將使電網營運商能夠積極主動，為消費者提供穩定可靠的可再生能源供應。

人工智慧也被用來保護鳥類和蝙蝠。先進的電腦視覺結構可以識別鳥類何時靠近工廠，並短暫停止活動以防止碰撞。這種現代方法解決了與風電場相關的生態學問題。人工智慧正在幫助提高電網的彈性。人工智慧還可以預測和減輕潛在的電腦網路攻擊，並確保再生能源基礎設施的完整性和安全性。

人工智慧正被用來改進由可再生能源動力來源的海水淡化方法。人工智慧演算法最佳化海水淡化廠的營運，增加淡水產量，同時降低電力消耗量和成本。人工智慧被用來規劃和最佳化浮體式在水面上的浮動太陽能光伏發電發電廠。這些農場正在成為土地有限地區的永續解決方案，人工智慧正在幫助確定最有效的佈局和保護策略。

目錄

第1章簡介

第 2 章執行摘要

第3章市場概況

  • 市場定義和範圍
  • 主要發現
    • 影響因素
    • 主要投資機會
  • 波特五力分析
  • 市場動態
    • 促進因素
      • 更多採用可再生能源技術
      • 利用人工智慧提高可再生能源效率
    • 抑制因素
      • 人工智慧驅動技術高成本
    • 機會
      • 人工智慧主導的最佳化以增強能源儲存系統
      • 智慧電網能源分配和存儲
  • 價值鏈分析
  • 關鍵監管分析
  • 專利形勢
  • 監管指引

第 4 章可再生能源市場中的人工智慧：按部署類型

  • 概述
  • 前提
  • 雲

第5章可再生能源市場中的人工智慧：按組件類型

  • 概述
  • 解決方案
  • 服務

第6章可再生能源市場中的人工智慧：按最終用途產業

  • 概述
  • 能源生產
  • 能量傳輸
  • 能源發行
  • 公用事業

第7章可再生能源人工智慧市場：按地區

  • 概述
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 西班牙
    • 義大利
    • 其他
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 其他
  • 拉丁美洲/中東/非洲
    • 巴西
    • 南非
    • 沙烏地阿拉伯
    • 其他

第8章 競爭形勢

  • 介紹
  • 關鍵成功策略
  • 10家主要企業產品圖譜
  • 競爭儀表板
  • 競爭熱圖
  • 2022年主要企業定位

第9章 公司簡介

  • Alpiq Holding Ltd.
  • App Orchid
  • Atos SE
  • Enel Spa
  • Enphase Energy
  • Flex Ltd.
  • General Electric
  • Origami
  • Siemens AG
  • Vestas
Product Code: A224072

The global artificial intelligence in renewable energy market size was valued at $0.6 billion in 2022, and is projected to reach $4.6 billion by 2032, growing at a CAGR of 23.2% from 2023 to 2032.

Artificial intelligence in renewable energy involves the application of AI techniques, such as computer mastering and facts analytics, to improve the generation, storage, distribution, and consumption of renewable electricity sources. It encompasses a wide range of technologies, including predictive modeling, optimization algorithms, and independent manage systems, to maximize the utilization of renewable resources like solar, wind, and hydropower.

AI-driven predictive modeling can accurately forecast solar irradiance and climate patterns, enabling better energy technology forecasts. AI helps optimize the positioning of photo voltaic panels and trackers to seize most sunlight at some stage in the day, for that reason improving the average efficiency of solar strength systems.

Wind farms gain notably from AI applications. Machine studying algorithms analyze sizeable amounts of records to predict wind patterns and turbine performance. This approves for higher turbine protection scheduling and greater unique energy generation. AI helps in the management of electricity distribution grids. Machine mastering algorithms analyze real-time facts to predict power demand and pick out practicable faults or disturbances in the grid. Artificial brain permits grid operators to respond proactively, making sure a stable and reliable furnish of renewable power to consumers.

AI has been employed to protect birds and bats. Advanced pc vision structures can realize the presence of birds close to mills and briefly shut them down to forestall collisions. This modern method addresses ecological issues related with wind farms. AI is instrumental in enhancing the resilience of strength grids. Artificial intelligence structures can additionally predict and mitigate doable cyberattacks, making sure the integrity and security of renewable power infrastructure.

Artificial intelligence is being used to improve desalination approaches powered by means of renewable energy. AI algorithms optimize the operation of desalination plants, decreasing electricity consumption and charges whilst increasing freshwater production. AI is employed in the plan and optimization of floating photo voltaic farms on our bodies of water. These farms are rising as a sustainable solution for land-constrained regions, and AI helps decide the most efficient layout and protection strategies.

The artificial intelligence in renewable energy market growth is segmented into deployment type, component type, end-use industry, and region. On the basis of deployment type, the market is bifurcated into on-premises and cloud. On the basis of component type, the market is divided into solution, and service. On the basis of end-use industry, the market is classified into energy generation, energy transmission, energy distribution, and utilities. On the basis of region, the market is studied across North America, Europe, Asia-Pacific, and LAMEA.

By deployment type, on-premises is the fastest-growing segment in the artificial intelligence in renewable energy industry in 2022. AI systems can analyze real-time records from on-premises renewable energy sources like solar panels and wind turbines. They can optimize energy production by means of adjusting the perspective of photo voltaic panels, the orientation of wind turbines, and battery storage usage to maximize power technology and consumption. AI models can furnish correct strength production forecasts primarily based on climate conditions, historical data, and different factors. This helps on-premises customers design their power consumption and storage greater effectively.

  • Based on component type, service is the fastest-growing segment in the AI in renewable energy market in 2022. AI-based grid administration systems can stability the intermittent nature of renewable strength sources. These structures use real-time statistics to control energy distribution efficiently, ensuring a secure supply. AI can optimize electricity storage systems, such as batteries. It can determine when to store excess energy and when to release it, making the most of renewable energy production.
  • Based on end-use industry, energy distribution is the fastest-growing segment in the AI in renewable energy market in 2022. AI can help manage energy storage systems, such as batteries. Machine gaining knowledge of algorithms can optimize the charging and discharging of batteries primarily based on grid demand and renewable strength availability, maximizing the use of clean power and reducing reliance on fossil fuels. AI can play a crucial role in improving the resilience of strength grids in opposition to disruptions, including those brought about by using extreme climate events. Predictive maintenance algorithms can discover attainable issues in the grid infrastructure earlier than they lead to outages.
  • Region-wise Asia-Pacific is the fastest-growing and dominated in the market in 2022. In the Asia-Pacific region, hydropower performs a good sized role as a renewable energy source, mainly in countries like China and Japan. The implementation of AI-powered analytics has tested to be worthwhile in optimizing the management of water float within hydropower plants. This technology ensures a constant provide of electricity while simultaneously minimizing the poor have an effect on on aquatic ecosystems. Furthermore, AI-driven building management structures are gaining recognition throughout Asia-Pacific nations. These systems leverage real-time records and occupancy patterns to effectively manipulate lighting, heating, and cooling in each industrial and residential buildings. This not solely reduces electricity consumption however also results in price financial savings on electricity payments for consumers.
  • The major players operating in the global artificial intelligence in renewable energy market share diversified into Alpiq, AppOrchid Inc., ATOS SE, Enel Green Power, Enphase Energy, Flex Ltd., General Electric, Origami Energy Ltd., Siemens AG, and Vestas.
  • Key Market Insights
  • Cloud was the largest revenue generator in 2022, comprising over half of the market share in 2022.
  • The solutions segment is dominated by component type, contributing to almost two-thirds of the market share and showing a 32.0% Compound Annual Growth Rate (CAGR) in 2022.
  • In terms of end-use industries, utilities held the top position, with a 22.8% CAGR in the market.
  • The Asia-Pacific region led in revenue contribution, representing two-thirds of the global market share in 2022.

Key Benefits For Stakeholders

  • This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the artificial intelligence in renewable energy market analysis from 2022 to 2032 to identify the prevailing artificial intelligence in renewable energy market opportunities.
  • The market research is offered along with information related to key drivers, restraints, and opportunities.
  • Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
  • In-depth analysis of the artificial intelligence in renewable energy market scope assists to determine the prevailing market opportunities.
  • Major countries in each region are mapped according to their revenue contribution to the global market.
  • Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
  • The report includes the analysis of the regional as well as global artificial intelligence in renewable energy market trends, key players, market segments, application areas, and market growth strategies.

Additional benefits you will get with this purchase are:

  • Quarterly Update and* (only available with a corporate license, on listed price)
  • 5 additional Company Profile of client Choice pre- or Post-purchase, as a free update.
  • Free Upcoming Version on the Purchase of Five and Enterprise User License.
  • 16 analyst hours of support* (post-purchase, if you find additional data requirements upon review of the report, you may receive support amounting to 16 analyst hours to solve questions, and post-sale queries)
  • 15% Free Customization* (in case the scope or segment of the report does not match your requirements, 15% is equivalent to 3 working days of free work, applicable once)
  • Free data Pack on the Five and Enterprise User License. (Excel version of the report)
  • Free Updated report if the report is 6-12 months old or older.
  • 24-hour priority response*
  • Free Industry updates and white papers.

Possible Customization with this report (with additional cost and timeline, please talk to the sales executive to know more)

  • End user preferences and pain points
  • Industry life cycle assessment, by region
  • Investment Opportunities
  • Product Benchmarking / Product specification and applications
  • Product Life Cycles
  • Upcoming/New Entrant by Regions
  • Technology Trend Analysis
  • Consumer Preference and Product Specifications
  • Market share analysis of players by products/segments
  • New Product Development/ Product Matrix of Key Players
  • Patient/epidemiology data at country, region, global level
  • Regulatory Guidelines
  • Additional company profiles with specific to client's interest
  • Additional country or region analysis- market size and forecast
  • Criss-cross segment analysis- market size and forecast
  • Expanded list for Company Profiles
  • Historic market data
  • Import Export Analysis/Data
  • List of customers/consumers/raw material suppliers- value chain analysis
  • Product Consumption Analysis
  • SWOT Analysis
  • Volume Market Size and Forecast

Key Market Segments

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
    • Mexico
  • Europe
    • Germany
    • France
    • UK
    • Spain
    • Italy
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • LAMEA
    • Brazil
    • South Africa
    • Saudi Arabia
    • Rest of LAMEA

Key Market Players:

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

TABLE OF CONTENTS

CHAPTER 1: INTRODUCTION

  • 1.1. Report description
  • 1.2. Key market segments
  • 1.3. Key benefits to the stakeholders
  • 1.4. Research methodology
    • 1.4.1. Primary research
    • 1.4.2. Secondary research
    • 1.4.3. Analyst tools and models

CHAPTER 2: EXECUTIVE SUMMARY

  • 2.1. CXO Perspective

CHAPTER 3: MARKET OVERVIEW

  • 3.1. Market definition and scope
  • 3.2. Key findings
    • 3.2.1. Top impacting factors
    • 3.2.2. Top investment pockets
  • 3.3. Porter's five forces analysis
    • 3.3.1. Moderate bargaining power of suppliers
    • 3.3.2. High threat of new entrants
    • 3.3.3. High threat of substitutes
    • 3.3.4. High intensity of rivalry
    • 3.3.5. High bargaining power of buyers
  • 3.4. Market dynamics
    • 3.4.1. Drivers
      • 3.4.1.1. Increase in adoption of renewable energy technologies
      • 3.4.1.2. AI-Powered advancements in renewable energy efficiency
    • 3.4.2. Restraints
      • 3.4.2.1. High cost of artificial intelligence-driven technologies
    • 3.4.3. Opportunities
      • 3.4.3.1. AI-Driven optimization for enhanced energy storage systems
      • 3.4.3.2. Smart grid energy distribution and storage
  • 3.5. Value Chain Analysis
  • 3.6. Key Regulation Analysis
  • 3.7. Patent Landscape
  • 3.8. Regulatory Guidelines

CHAPTER 4: ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE

  • 4.1. Overview
    • 4.1.1. Market size and forecast
  • 4.2. On premises
    • 4.2.1. Key market trends, growth factors and opportunities
    • 4.2.2. Market size and forecast, by region
    • 4.2.3. Market share analysis by country
  • 4.3. Cloud
    • 4.3.1. Key market trends, growth factors and opportunities
    • 4.3.2. Market size and forecast, by region
    • 4.3.3. Market share analysis by country

CHAPTER 5: ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE

  • 5.1. Overview
    • 5.1.1. Market size and forecast
  • 5.2. Solution
    • 5.2.1. Key market trends, growth factors and opportunities
    • 5.2.2. Market size and forecast, by region
    • 5.2.3. Market share analysis by country
  • 5.3. Service
    • 5.3.1. Key market trends, growth factors and opportunities
    • 5.3.2. Market size and forecast, by region
    • 5.3.3. Market share analysis by country

CHAPTER 6: ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY

  • 6.1. Overview
    • 6.1.1. Market size and forecast
  • 6.2. Energy Generation
    • 6.2.1. Key market trends, growth factors and opportunities
    • 6.2.2. Market size and forecast, by region
    • 6.2.3. Market share analysis by country
  • 6.3. Energy Transmission
    • 6.3.1. Key market trends, growth factors and opportunities
    • 6.3.2. Market size and forecast, by region
    • 6.3.3. Market share analysis by country
  • 6.4. Energy Distribution
    • 6.4.1. Key market trends, growth factors and opportunities
    • 6.4.2. Market size and forecast, by region
    • 6.4.3. Market share analysis by country
  • 6.5. Utilities
    • 6.5.1. Key market trends, growth factors and opportunities
    • 6.5.2. Market size and forecast, by region
    • 6.5.3. Market share analysis by country

CHAPTER 7: ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY REGION

  • 7.1. Overview
    • 7.1.1. Market size and forecast By Region
  • 7.2. North America
    • 7.2.1. Key market trends, growth factors and opportunities
    • 7.2.2. Market size and forecast, by Deployment Type
    • 7.2.3. Market size and forecast, by Component Type
    • 7.2.4. Market size and forecast, by End-Use Industry
    • 7.2.5. Market size and forecast, by country
      • 7.2.5.1. U.S.
      • 7.2.5.1.1. Market size and forecast, by Deployment Type
      • 7.2.5.1.2. Market size and forecast, by Component Type
      • 7.2.5.1.3. Market size and forecast, by End-Use Industry
      • 7.2.5.2. Canada
      • 7.2.5.2.1. Market size and forecast, by Deployment Type
      • 7.2.5.2.2. Market size and forecast, by Component Type
      • 7.2.5.2.3. Market size and forecast, by End-Use Industry
      • 7.2.5.3. Mexico
      • 7.2.5.3.1. Market size and forecast, by Deployment Type
      • 7.2.5.3.2. Market size and forecast, by Component Type
      • 7.2.5.3.3. Market size and forecast, by End-Use Industry
  • 7.3. Europe
    • 7.3.1. Key market trends, growth factors and opportunities
    • 7.3.2. Market size and forecast, by Deployment Type
    • 7.3.3. Market size and forecast, by Component Type
    • 7.3.4. Market size and forecast, by End-Use Industry
    • 7.3.5. Market size and forecast, by country
      • 7.3.5.1. Germany
      • 7.3.5.1.1. Market size and forecast, by Deployment Type
      • 7.3.5.1.2. Market size and forecast, by Component Type
      • 7.3.5.1.3. Market size and forecast, by End-Use Industry
      • 7.3.5.2. France
      • 7.3.5.2.1. Market size and forecast, by Deployment Type
      • 7.3.5.2.2. Market size and forecast, by Component Type
      • 7.3.5.2.3. Market size and forecast, by End-Use Industry
      • 7.3.5.3. UK
      • 7.3.5.3.1. Market size and forecast, by Deployment Type
      • 7.3.5.3.2. Market size and forecast, by Component Type
      • 7.3.5.3.3. Market size and forecast, by End-Use Industry
      • 7.3.5.4. Spain
      • 7.3.5.4.1. Market size and forecast, by Deployment Type
      • 7.3.5.4.2. Market size and forecast, by Component Type
      • 7.3.5.4.3. Market size and forecast, by End-Use Industry
      • 7.3.5.5. Italy
      • 7.3.5.5.1. Market size and forecast, by Deployment Type
      • 7.3.5.5.2. Market size and forecast, by Component Type
      • 7.3.5.5.3. Market size and forecast, by End-Use Industry
      • 7.3.5.6. Rest of Europe
      • 7.3.5.6.1. Market size and forecast, by Deployment Type
      • 7.3.5.6.2. Market size and forecast, by Component Type
      • 7.3.5.6.3. Market size and forecast, by End-Use Industry
  • 7.4. Asia-Pacific
    • 7.4.1. Key market trends, growth factors and opportunities
    • 7.4.2. Market size and forecast, by Deployment Type
    • 7.4.3. Market size and forecast, by Component Type
    • 7.4.4. Market size and forecast, by End-Use Industry
    • 7.4.5. Market size and forecast, by country
      • 7.4.5.1. China
      • 7.4.5.1.1. Market size and forecast, by Deployment Type
      • 7.4.5.1.2. Market size and forecast, by Component Type
      • 7.4.5.1.3. Market size and forecast, by End-Use Industry
      • 7.4.5.2. Japan
      • 7.4.5.2.1. Market size and forecast, by Deployment Type
      • 7.4.5.2.2. Market size and forecast, by Component Type
      • 7.4.5.2.3. Market size and forecast, by End-Use Industry
      • 7.4.5.3. India
      • 7.4.5.3.1. Market size and forecast, by Deployment Type
      • 7.4.5.3.2. Market size and forecast, by Component Type
      • 7.4.5.3.3. Market size and forecast, by End-Use Industry
      • 7.4.5.4. South Korea
      • 7.4.5.4.1. Market size and forecast, by Deployment Type
      • 7.4.5.4.2. Market size and forecast, by Component Type
      • 7.4.5.4.3. Market size and forecast, by End-Use Industry
      • 7.4.5.5. Australia
      • 7.4.5.5.1. Market size and forecast, by Deployment Type
      • 7.4.5.5.2. Market size and forecast, by Component Type
      • 7.4.5.5.3. Market size and forecast, by End-Use Industry
      • 7.4.5.6. Rest of Asia-Pacific
      • 7.4.5.6.1. Market size and forecast, by Deployment Type
      • 7.4.5.6.2. Market size and forecast, by Component Type
      • 7.4.5.6.3. Market size and forecast, by End-Use Industry
  • 7.5. LAMEA
    • 7.5.1. Key market trends, growth factors and opportunities
    • 7.5.2. Market size and forecast, by Deployment Type
    • 7.5.3. Market size and forecast, by Component Type
    • 7.5.4. Market size and forecast, by End-Use Industry
    • 7.5.5. Market size and forecast, by country
      • 7.5.5.1. Brazil
      • 7.5.5.1.1. Market size and forecast, by Deployment Type
      • 7.5.5.1.2. Market size and forecast, by Component Type
      • 7.5.5.1.3. Market size and forecast, by End-Use Industry
      • 7.5.5.2. South Africa
      • 7.5.5.2.1. Market size and forecast, by Deployment Type
      • 7.5.5.2.2. Market size and forecast, by Component Type
      • 7.5.5.2.3. Market size and forecast, by End-Use Industry
      • 7.5.5.3. Saudi Arabia
      • 7.5.5.3.1. Market size and forecast, by Deployment Type
      • 7.5.5.3.2. Market size and forecast, by Component Type
      • 7.5.5.3.3. Market size and forecast, by End-Use Industry
      • 7.5.5.4. Rest of LAMEA
      • 7.5.5.4.1. Market size and forecast, by Deployment Type
      • 7.5.5.4.2. Market size and forecast, by Component Type
      • 7.5.5.4.3. Market size and forecast, by End-Use Industry

CHAPTER 8: COMPETITIVE LANDSCAPE

  • 8.1. Introduction
  • 8.2. Top winning strategies
  • 8.3. Product mapping of top 10 player
  • 8.4. Competitive dashboard
  • 8.5. Competitive heatmap
  • 8.6. Top player positioning, 2022

CHAPTER 9: COMPANY PROFILES

  • 9.1. Alpiq Holding Ltd.
    • 9.1.1. Company overview
    • 9.1.2. Key executives
    • 9.1.3. Company snapshot
    • 9.1.4. Operating business segments
    • 9.1.5. Product portfolio
  • 9.2. App Orchid
    • 9.2.1. Company overview
    • 9.2.2. Key executives
    • 9.2.3. Company snapshot
    • 9.2.4. Operating business segments
    • 9.2.5. Product portfolio
  • 9.3. Atos SE
    • 9.3.1. Company overview
    • 9.3.2. Key executives
    • 9.3.3. Company snapshot
    • 9.3.4. Operating business segments
    • 9.3.5. Product portfolio
    • 9.3.6. Business performance
  • 9.4. Enel Spa
    • 9.4.1. Company overview
    • 9.4.2. Key executives
    • 9.4.3. Company snapshot
    • 9.4.4. Operating business segments
    • 9.4.5. Product portfolio
  • 9.5. Enphase Energy
    • 9.5.1. Company overview
    • 9.5.2. Key executives
    • 9.5.3. Company snapshot
    • 9.5.4. Operating business segments
    • 9.5.5. Product portfolio
    • 9.5.6. Business performance
  • 9.6. Flex Ltd.
    • 9.6.1. Company overview
    • 9.6.2. Key executives
    • 9.6.3. Company snapshot
    • 9.6.4. Operating business segments
    • 9.6.5. Product portfolio
    • 9.6.6. Business performance
  • 9.7. General Electric
    • 9.7.1. Company overview
    • 9.7.2. Key executives
    • 9.7.3. Company snapshot
    • 9.7.4. Operating business segments
    • 9.7.5. Product portfolio
    • 9.7.6. Business performance
    • 9.7.7. Key strategic moves and developments
  • 9.8. Origami
    • 9.8.1. Company overview
    • 9.8.2. Key executives
    • 9.8.3. Company snapshot
    • 9.8.4. Operating business segments
    • 9.8.5. Product portfolio
  • 9.9. Siemens AG
    • 9.9.1. Company overview
    • 9.9.2. Key executives
    • 9.9.3. Company snapshot
    • 9.9.4. Operating business segments
    • 9.9.5. Product portfolio
    • 9.9.6. Business performance
    • 9.9.7. Key strategic moves and developments
  • 9.10. Vestas
    • 9.10.1. Company overview
    • 9.10.2. Key executives
    • 9.10.3. Company snapshot
    • 9.10.4. Operating business segments
    • 9.10.5. Product portfolio
    • 9.10.6. Business performance

LIST OF TABLES

  • TABLE 01. GLOBAL ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 02. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR ON PREMISES, BY REGION, 2022-2032 ($MILLION)
  • TABLE 03. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR CLOUD, BY REGION, 2022-2032 ($MILLION)
  • TABLE 04. GLOBAL ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 05. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR SOLUTION, BY REGION, 2022-2032 ($MILLION)
  • TABLE 06. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR SERVICE, BY REGION, 2022-2032 ($MILLION)
  • TABLE 07. GLOBAL ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 08. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR ENERGY GENERATION, BY REGION, 2022-2032 ($MILLION)
  • TABLE 09. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR ENERGY TRANSMISSION, BY REGION, 2022-2032 ($MILLION)
  • TABLE 10. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR ENERGY DISTRIBUTION, BY REGION, 2022-2032 ($MILLION)
  • TABLE 11. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR UTILITIES, BY REGION, 2022-2032 ($MILLION)
  • TABLE 12. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY REGION, 2022-2032 ($MILLION)
  • TABLE 13. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 14. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 15. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 16. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COUNTRY, 2022-2032 ($MILLION)
  • TABLE 17. U.S. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 18. U.S. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 19. U.S. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 20. CANADA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 21. CANADA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 22. CANADA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 23. MEXICO ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 24. MEXICO ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 25. MEXICO ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 26. EUROPE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 27. EUROPE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 28. EUROPE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 29. EUROPE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COUNTRY, 2022-2032 ($MILLION)
  • TABLE 30. GERMANY ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 31. GERMANY ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 32. GERMANY ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 33. FRANCE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 34. FRANCE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 35. FRANCE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 36. UK ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 37. UK ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 38. UK ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 39. SPAIN ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 40. SPAIN ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 41. SPAIN ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 42. ITALY ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 43. ITALY ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 44. ITALY ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 45. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 46. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 47. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 48. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 49. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 50. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 51. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COUNTRY, 2022-2032 ($MILLION)
  • TABLE 52. CHINA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 53. CHINA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 54. CHINA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 55. JAPAN ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 56. JAPAN ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 57. JAPAN ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 58. INDIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 59. INDIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 60. INDIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 61. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 62. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 63. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 64. AUSTRALIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 65. AUSTRALIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 66. AUSTRALIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 67. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 68. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 69. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 70. LAMEA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 71. LAMEA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 72. LAMEA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 73. LAMEA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COUNTRY, 2022-2032 ($MILLION)
  • TABLE 74. BRAZIL ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 75. BRAZIL ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 76. BRAZIL ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 77. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 78. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 79. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 80. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 81. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 82. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 83. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
  • TABLE 84. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
  • TABLE 85. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
  • TABLE 86. ALPIQ HOLDING LTD.: KEY EXECUTIVES
  • TABLE 87. ALPIQ HOLDING LTD.: COMPANY SNAPSHOT
  • TABLE 88. ALPIQ HOLDING LTD.: PRODUCT SEGMENTS
  • TABLE 89. ALPIQ HOLDING LTD.: SERVICE SEGMENTS
  • TABLE 90. ALPIQ HOLDING LTD.: PRODUCT PORTFOLIO
  • TABLE 91. APP ORCHID: KEY EXECUTIVES
  • TABLE 92. APP ORCHID: COMPANY SNAPSHOT
  • TABLE 93. APP ORCHID: SERVICE SEGMENTS
  • TABLE 94. APP ORCHID: PRODUCT PORTFOLIO
  • TABLE 95. ATOS SE: KEY EXECUTIVES
  • TABLE 96. ATOS SE: COMPANY SNAPSHOT
  • TABLE 97. ATOS SE: SERVICE SEGMENTS
  • TABLE 98. ATOS SE: PRODUCT PORTFOLIO
  • TABLE 99. ENEL SPA: KEY EXECUTIVES
  • TABLE 100. ENEL SPA: COMPANY SNAPSHOT
  • TABLE 101. ENEL SPA: SERVICE SEGMENTS
  • TABLE 102. ENEL SPA: PRODUCT PORTFOLIO
  • TABLE 103. ENPHASE ENERGY: KEY EXECUTIVES
  • TABLE 104. ENPHASE ENERGY: COMPANY SNAPSHOT
  • TABLE 105. ENPHASE ENERGY: SERVICE SEGMENTS
  • TABLE 106. ENPHASE ENERGY: PRODUCT PORTFOLIO
  • TABLE 107. FLEX LTD.: KEY EXECUTIVES
  • TABLE 108. FLEX LTD.: COMPANY SNAPSHOT
  • TABLE 109. FLEX LTD.: PRODUCT SEGMENTS
  • TABLE 110. FLEX LTD.: PRODUCT PORTFOLIO
  • TABLE 111. GENERAL ELECTRIC: KEY EXECUTIVES
  • TABLE 112. GENERAL ELECTRIC: COMPANY SNAPSHOT
  • TABLE 113. GENERAL ELECTRIC: PRODUCT SEGMENTS
  • TABLE 114. GENERAL ELECTRIC: PRODUCT PORTFOLIO
  • TABLE 115. GENERAL ELECTRIC: KEY STRATERGIES
  • TABLE 116. ORIGAMI: KEY EXECUTIVES
  • TABLE 117. ORIGAMI: COMPANY SNAPSHOT
  • TABLE 118. ORIGAMI: SERVICE SEGMENTS
  • TABLE 119. ORIGAMI: PRODUCT PORTFOLIO
  • TABLE 120. SIEMENS AG: KEY EXECUTIVES
  • TABLE 121. SIEMENS AG: COMPANY SNAPSHOT
  • TABLE 122. SIEMENS AG: PRODUCT SEGMENTS
  • TABLE 123. SIEMENS AG: PRODUCT PORTFOLIO
  • TABLE 124. SIEMENS AG: KEY STRATERGIES
  • TABLE 125. VESTAS: KEY EXECUTIVES
  • TABLE 126. VESTAS: COMPANY SNAPSHOT
  • TABLE 127. VESTAS: PRODUCT SEGMENTS
  • TABLE 128. VESTAS: SERVICE SEGMENTS
  • TABLE 129. VESTAS: PRODUCT PORTFOLIO

LIST OF FIGURES

  • FIGURE 01. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032
  • FIGURE 02. SEGMENTATION OF ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET,2022-2032
  • FIGURE 03. TOP IMPACTING FACTORS IN ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET (2022 TO 2032)
  • FIGURE 04. TOP INVESTMENT POCKETS IN ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET (2023-2032)
  • FIGURE 05. MODERATE BARGAINING POWER OF SUPPLIERS
  • FIGURE 06. HIGH THREAT OF NEW ENTRANTS
  • FIGURE 07. HIGH THREAT OF SUBSTITUTES
  • FIGURE 08. HIGH INTENSITY OF RIVALRY
  • FIGURE 09. HIGH BARGAINING POWER OF BUYERS
  • FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET:DRIVERS, RESTRAINTS AND OPPORTUNITIES
  • FIGURE 11. IMPACT OF KEY REGULATION: ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET
  • FIGURE 12. PATENT ANALYSIS BY COMPANY
  • FIGURE 13. PATENT ANALYSIS BY COUNTRY
  • FIGURE 14. REGULATORY GUIDELINES: ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET
  • FIGURE 15. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022 AND 2032(%)
  • FIGURE 16. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR ON PREMISES, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 17. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR CLOUD, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 18. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022 AND 2032(%)
  • FIGURE 19. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR SOLUTION, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 20. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR SERVICE, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 21. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022 AND 2032(%)
  • FIGURE 22. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR ENERGY GENERATION, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 23. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR ENERGY TRANSMISSION, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 24. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR ENERGY DISTRIBUTION, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 25. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR UTILITIES, BY COUNTRY 2022 AND 2032(%)
  • FIGURE 26. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET BY REGION, 2022 AND 2032(%)
  • FIGURE 27. U.S. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
  • FIGURE 28. CANADA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
  • FIGURE 29. MEXICO ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
  • FIGURE 30. GERMANY ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
  • FIGURE 31. FRANCE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
  • FIGURE 32. UK ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
  • FIGURE 33. SPAIN ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
  • FIGURE 34. ITALY ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
  • FIGURE 35. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
  • FIGURE 36. CHINA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
  • FIGURE 37. JAPAN ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
  • FIGURE 38. INDIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
  • FIGURE 39. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
  • FIGURE 40. AUSTRALIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
  • FIGURE 41. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
  • FIGURE 42. BRAZIL ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
  • FIGURE 43. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
  • FIGURE 44. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
  • FIGURE 45. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
  • FIGURE 46. TOP WINNING STRATEGIES, BY YEAR (2022-2022)
  • FIGURE 47. TOP WINNING STRATEGIES, BY DEVELOPMENT (2022-2022)
  • FIGURE 48. TOP WINNING STRATEGIES, BY COMPANY (2022-2022)
  • FIGURE 49. PRODUCT MAPPING OF TOP 10 PLAYERS
  • FIGURE 50. COMPETITIVE DASHBOARD
  • FIGURE 51. COMPETITIVE HEATMAP: ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET
  • FIGURE 52. TOP PLAYER POSITIONING, 2022
  • FIGURE 53. ATOS SE: NET REVENUE, 2019-2021 ($MILLION)
  • FIGURE 54. ATOS SE: REVENUE SHARE BY SEGMENT, 2021 (%)
  • FIGURE 55. ATOS SE: REVENUE SHARE BY REGION, 2021 (%)
  • FIGURE 56. ENPHASE ENERGY: RESEARCH & DEVELOPMENT EXPENDITURE, 2020-2022 ($MILLION)
  • FIGURE 57. ENPHASE ENERGY: NET REVENUE, 2020-2022 ($MILLION)
  • FIGURE 58. ENPHASE ENERGY: REVENUE SHARE BY REGION, 2022 (%)
  • FIGURE 59. FLEX LTD.: NET REVENUE, 2021-2023 ($BILLION)
  • FIGURE 60. FLEX LTD.: REVENUE SHARE BY REGION, 2022 (%)
  • FIGURE 61. GENERAL ELECTRIC: NET REVENUE, 2019-2021 ($MILLION)
  • FIGURE 62. GENERAL ELECTRIC: RESEARCH & DEVELOPMENT EXPENDITURE, 2019-2021 ($MILLION)
  • FIGURE 63. GENERAL ELECTRIC: REVENUE SHARE BY SEGMENT, 2021 (%)
  • FIGURE 64. GENERAL ELECTRIC: REVENUE SHARE BY REGION, 2021 (%)
  • FIGURE 65. SIEMENS AG: NET REVENUE, 2020-2022 ($MILLION)
  • FIGURE 66. SIEMENS AG: RESEARCH & DEVELOPMENT EXPENDITURE, 2020-2022 ($MILLION)
  • FIGURE 67. SIEMENS AG: REVENUE SHARE BY SEGMENT, 2022 (%)
  • FIGURE 68. SIEMENS AG: REVENUE SHARE BY REGION, 2022 (%)
  • FIGURE 69. VESTAS: NET REVENUE, 2019-2021 ($MILLION)
  • FIGURE 70. VESTAS: REVENUE SHARE BY SEGMENT, 2021 (%)
  • FIGURE 71. VESTAS: REVENUE SHARE BY REGION, 2021 (%)